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prices</title> <meta name="description" content="Search results for: housing prices"> <meta name="keywords" content="housing prices"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler 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id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="housing prices"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 1228</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: housing prices</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1228</span> Beijing Xicheng District Housing Price Econometric Analysis: “Multi-School Zoning”Policy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Haoxue%20Cui">Haoxue Cui</a>, <a href="https://publications.waset.org/abstracts/search?q=Sirui%20Zhang"> Sirui Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Shanshan%20Gao"> Shanshan Gao</a>, <a href="https://publications.waset.org/abstracts/search?q=Weiyi%20Zhang"> Weiyi Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Lantian%20Wang"> Lantian Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Xuanwen%20Zheng"> Xuanwen Zheng</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The 2020 "multi-school zoning" policy makes students ineligible for direct attendance in their district. To study whether the housing price trend of the school district is affected by the policy, This paper studies housing prices based on the school district division in Xicheng District, Beijing. In this paper, we collected housing prices and the basic situation of communities from "Anjuke", which were divided into two periods of 15 months before and after the 731 policy in the Xicheng District, Beijing. Then we used DID model and time fixed effect to investigate the DIFFERENTIAL statistics, that is, the overall net impact of the policy. The results show that the coefficient is negative at a certain statistical level. It indicates that the housing prices of school districts in the Xicheng district decreased after the "multi-school zoning" policy, which shows that the policy has effectively reduced the housing price of school districts in the Xicheng District and laid a foundation for the "double reduction" policy in 2022. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=%E2%80%9Cmulti-school%20zoning%E2%80%9Dpolicy" title="“multi-school zoning”policy">“multi-school zoning”policy</a>, <a href="https://publications.waset.org/abstracts/search?q=DID" title=" DID"> DID</a>, <a href="https://publications.waset.org/abstracts/search?q=time%20fixed%20effect" title=" time fixed effect"> time fixed effect</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20prices" title=" housing prices"> housing prices</a> </p> <a href="https://publications.waset.org/abstracts/149435/beijing-xicheng-district-housing-price-econometric-analysis-multi-school-zoningpolicy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/149435.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">160</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1227</span> Estimation of Break Points of Housing Price Growth Rate for Top MSAs in Texas Area</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hui%20Wu">Hui Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Ye%20Li"> Ye Li</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Applying the structural break estimation method proposed by Perron and Bai (1998) to the housing price growth rate of top 5 MSAs in the Texas area, this paper estimated the structural break date for the growth rate of housing prices index. As shown in the estimation results, the break dates for each region are quite different, which indicates the heterogeneity of the housing market in response to macroeconomic conditions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=structural%20break" title="structural break">structural break</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20prices%20index" title=" housing prices index"> housing prices index</a>, <a href="https://publications.waset.org/abstracts/search?q=ADF%20test" title=" ADF test"> ADF test</a>, <a href="https://publications.waset.org/abstracts/search?q=linear%20model" title=" linear model"> linear model</a> </p> <a href="https://publications.waset.org/abstracts/145280/estimation-of-break-points-of-housing-price-growth-rate-for-top-msas-in-texas-area" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/145280.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">150</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1226</span> Imbalance on the Croatian Housing Market in the Aftermath of an Economic Crisis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tamara%20Sli%C5%A1kovi%C4%87">Tamara Slišković</a>, <a href="https://publications.waset.org/abstracts/search?q=Tomislav%20Sekur"> Tomislav Sekur</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This manuscript examines factors that affect demand and supply of the housing market in Croatia. The period from the beginning of this century, until 2008, was characterized by a strong expansion of construction, housing and real estate market in general. Demand for residential units was expanding, and this was supported by favorable lending conditions of banks. Indicators on the supply side, such as the number of newly built houses and the construction volume index were also increasing. Rapid growth of demand, along with the somewhat slower supply growth, led to the situation in which new apartments were sold before the completion of residential buildings. This resulted in a rise of housing price which was indication of a clear link between the housing prices with the supply and demand in the housing market. However, after 2008 general economic conditions in Croatia worsened and demand for housing has fallen dramatically, while supply descended at much slower pace. Given that there is a gap between supply and demand, it can be concluded that the housing market in Croatia is in imbalance. Such trend is accompanied by a relatively small decrease in housing price. The final result of such movements is the large number of unsold housing units at relatively high price levels. For this reason, it can be argued that housing prices are sticky and that, consequently, the price level in the aftermath of a crisis does not correspond to the discrepancy between supply and demand on the Croatian housing market. The degree of rigidity of the housing price can be determined by inclusion of the housing price as the explanatory variable in the housing demand function. Other independent variables are demographic variable (e.g. the number of households), the interest rate on housing loans, households' disposable income and rent. The equilibrium price is reached when the demand for housing equals its supply, and the speed of adjustment of actual prices to equilibrium prices reveals the extent to which the prices are rigid. The latter requires inclusion of the housing prices with time lag as an independent variable in estimating demand function. We also observe the supply side of the housing market, in order to explain to what extent housing prices explain the movement of new construction activity, and other variables that describe the supply. In this context, we test whether new construction on the Croatian market is dependent on current prices or prices with a time lag. Number of dwellings is used to approximate new construction (flow variable), while the housing prices (current or lagged), quantity of dwellings in the previous period (stock variable) and a series of costs related to new construction are independent variables. We conclude that the key reason for the imbalance in the Croatian housing market should be sought in the relative relationship of price elasticities of supply and demand. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Croatian%20housing%20market" title="Croatian housing market">Croatian housing market</a>, <a href="https://publications.waset.org/abstracts/search?q=economic%20crisis" title=" economic crisis"> economic crisis</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20prices" title=" housing prices"> housing prices</a>, <a href="https://publications.waset.org/abstracts/search?q=supply%20imbalance" title=" supply imbalance"> supply imbalance</a>, <a href="https://publications.waset.org/abstracts/search?q=demand%20imbalance" title=" demand imbalance"> demand imbalance</a> </p> <a href="https://publications.waset.org/abstracts/52032/imbalance-on-the-croatian-housing-market-in-the-aftermath-of-an-economic-crisis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/52032.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">272</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1225</span> The Impact of Public Open Space System on Housing Price in Chicago</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Si%20Chen">Si Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Le%20Zhang"> Le Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Xian%20He"> Xian He</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The research explored the influences of public open space system on housing price through hedonic models, in order to support better open space plans and economic policies. We have three initial hypotheses: 1) public open space system has an overall positive influence on surrounding housing prices. 2) Different public open space types have different levels of influence on motivating surrounding housing prices. 3) Walking and driving accessibilities from property to public open spaces have different statistical relation with housing prices. Cook County, Illinois, was chosen to be a study area since data availability, sufficient open space types, and long-term open space preservation strategies. We considered the housing attributes, driving and walking accessibility scores from houses to nearby public open spaces, and driving accessibility scores to hospitals as influential features and used real housing sales price in 2010 as a dependent variable in the built hedonic model. Through ordinary least squares (OLS) regression analysis, General Moran’s I analysis and geographically weighted regression analysis, we observed the statistical relations between public open spaces and housing sale prices in the three built hedonic models and confirmed all three hypotheses. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hedonic%20model" title="hedonic model">hedonic model</a>, <a href="https://publications.waset.org/abstracts/search?q=public%20open%20space" title=" public open space"> public open space</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20sale%20price" title=" housing sale price"> housing sale price</a>, <a href="https://publications.waset.org/abstracts/search?q=regression%20analysis" title=" regression analysis"> regression analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=accessibility%20score" title=" accessibility score"> accessibility score</a> </p> <a href="https://publications.waset.org/abstracts/114572/the-impact-of-public-open-space-system-on-housing-price-in-chicago" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/114572.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">133</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1224</span> The Pricing-Out Phenomenon in the U.S. Housing Market</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Francesco%20Berald">Francesco Berald</a>, <a href="https://publications.waset.org/abstracts/search?q=Yunhui%20Zhao"> Yunhui Zhao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The COVID-19 pandemic further extended the multi-year housing boom in advanced economies and emerging markets alike against massive monetary easing during the pandemic. In this paper, we analyze the pricing-out phenomenon in the U.S. residential housing market due to higher house prices associated with monetary easing. We first set up a stylized general equilibrium model and show that although monetary easing decreases the mortgage payment burden, it would raise house prices and lower housing affordability for first-time homebuyers (through the initial housing wealth channel and the liquidity constraint channel that increases repeat buyers’ housing demand), and increase housing wealth inequality between first-time and repeat homebuyers. We then use the U.S. household-level data to quantify the effect of the house price change on housing affordability relative to that of the interest rate change. We find evidence of the pricing-out effect for all homebuyers; moreover, we find that the pricing-out effect is stronger for first-time homebuyers than for repeat homebuyers. The paper highlights the importance of accounting for general equilibrium effects and distributional implications of monetary policy while assessing housing affordability. It also calls for complementing monetary easing with well-targeted policy measures that can boost housing affordability, particularly for first-time and lower-income households. Such measures are also needed during aggressive monetary tightening, given that the fall in house prices may be insufficient or too slow to fully offset the immediate adverse impact of higher rates on housing affordability. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=pricing-out" title="pricing-out">pricing-out</a>, <a href="https://publications.waset.org/abstracts/search?q=U.S.%20housing%20market" title=" U.S. housing market"> U.S. housing market</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20affordability" title=" housing affordability"> housing affordability</a>, <a href="https://publications.waset.org/abstracts/search?q=distributional%20effects" title=" distributional effects"> distributional effects</a>, <a href="https://publications.waset.org/abstracts/search?q=monetary%20policy" title=" monetary policy"> monetary policy</a> </p> <a href="https://publications.waset.org/abstracts/186642/the-pricing-out-phenomenon-in-the-us-housing-market" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/186642.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">34</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1223</span> Estimating Housing Prices Using Automatic Linear Modeling in the Metropolis of Mashhad, Iran</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Rahim%20Rahnama">Mohammad Rahim Rahnama</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Market-transaction price for housing is the main criteria for determining municipality taxes and is determined and announced on an annual basis. Of course, there is a discrepancy between the actual value of transactions in the Bureau of Finance (P for short) or municipality (P´ for short) and the real price on the market (P˝). The present research aims to determine the real price of housing in the metropolis of Mashhad and to pinpoint the price gap with those of the aforementioned apparatuses and identify the factors affecting it. In order to reach this practical objective, Automatic Linear Modeling, which calls for an explanatory research, was utilized. The population of the research consisted of all the residential units in Mashhad, from which 317 residential units were randomly selected. Through cluster sampling, out of the 170 income blocks defined by the municipality, three blocks form high-income (Kosar), middle-income (Elahieh), and low-income (Seyyedi) strata were surveyed using questionnaires during February and March of 2015 and the information regarding the price and specifications of residential units were gathered. In order to estimate the effect of various factors on the price, the relationship between independent variables (8 variables) and the dependent variable of the housing price was calculated using Automatic Linear Modeling in SPSS. The results revealed that the average for housing price index is 788$ per square meter, compared to the Bureau of Finance’s prices which is 10$ and that of municipality’s which is 378$. Correlation coefficient among dependent and independent variables was calculated to be R²=0.81. Out of the eight initial variables, three were omitted. The most influential factor affecting the housing prices is the quality of Quality of construction (Ordinary, Full, Luxury). The least important factor influencing the housing prices is the variable of number of sides. The price gap between low-income (Seyyedi) and middle-income (Elahieh) districts was not confirmed via One-Way ANOVA but their gap with the high-income district (Kosar) was confirmed. It is suggested that city be divided into two low-income and high-income sections, as opposed three, in terms of housing prices. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=automatic%20linear%20modeling" title="automatic linear modeling">automatic linear modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20prices" title=" housing prices"> housing prices</a>, <a href="https://publications.waset.org/abstracts/search?q=Mashhad" title=" Mashhad"> Mashhad</a>, <a href="https://publications.waset.org/abstracts/search?q=Iran" title=" Iran"> Iran</a> </p> <a href="https://publications.waset.org/abstracts/42519/estimating-housing-prices-using-automatic-linear-modeling-in-the-metropolis-of-mashhad-iran" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42519.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">255</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1222</span> Identifying the Malaysian Perception on the Self-Build Home Concept: Provision of Affordable Housing for MIG </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=N.%20M.%20Tawil">N. M. Tawil</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20R.%20Musa"> A. R. Musa</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20I%20Che-Ani"> A. I Che-Ani</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20Basri"> H. Basri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> It is known that rising of house prices recently has affected the home ownership, especially for the future. Hence to overcome the rose of housing prices, the self-build home or DIY concept is perceived as one of the solution. This concept is proposed to be implemented for the future housing design as a strategy in helping the government to provide affordable housing, especially for middle income group to own a landed housing property. This concept is expected to offer a lower housing price for middle-income buyers and provide an opportunity for buyers to design their dream’s home with the self-build home or 'Do It Yourself' (DIY) concept. In order to implement this concept as affordable housing for MIG, the public perceptions and acceptances on the self-build home/ DIY concept itself should be identified. To achieve this aim this study was conducted by using 2 method namely literature review and questionnaire survey. The questionnaire survey was distributed to 200 respondents randomly in Lembah Klang and were analysed through the SPSS program. The results show that respondents are very interested in buying a home that they can have with the appropriate size of the home. Average of them known about Do It Yourself (DIY) concept but none of respondent have implement this concept. Most of respondents were agreed that this DIY method suitable to be implemented in the housing industry in Malaysia and they were agreed that this concept can offer a cheaper housing price because the construction costs were reduced. Moreover by providing a basic home the owner can renovate their home according to their need and financial capability. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=affordable%20housing" title="affordable housing">affordable housing</a>, <a href="https://publications.waset.org/abstracts/search?q=Do%20It%20Yourself" title=" Do It Yourself"> Do It Yourself</a>, <a href="https://publications.waset.org/abstracts/search?q=self-Built%20home" title=" self-Built home"> self-Built home</a>, <a href="https://publications.waset.org/abstracts/search?q=perception" title=" perception"> perception</a>, <a href="https://publications.waset.org/abstracts/search?q=middle%20income%20group" title=" middle income group"> middle income group</a> </p> <a href="https://publications.waset.org/abstracts/24992/identifying-the-malaysian-perception-on-the-self-build-home-concept-provision-of-affordable-housing-for-mig" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/24992.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">414</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1221</span> Housing Delivery in Nigeria’s Urban Areas: The Plight of the Poor in Owerri, Capital of Imo State, Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Joachim%20Onyike">Joachim Onyike</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Federal Government of Nigeria in 2012 came up with a new National Housing Policy; one of its major objectives was to make housing affordable to the poor. Six years down the line, this study was carried out to find out whether the poor have fared better under the new housing policy. Owerri, the capital of Imo State, was adopted as a case study to mirror the situation nationwide. The study population was made up of low-income civil servants, i.e., grade levels 1–6 in the Imo State Civil Service. The study looked at household size, household income, rental levels, house prices, costs of major building materials, land values, land tenure, the interest rate on mortgages, inflation rate, and the status of government interventions, owing to their obvious effect on housing affordability by the low-income earners. The study made use of physical observations, questionnaires, and interviews as well as library studies to elicit relevant information. Housing affordability by the subject population did not improve. It rather dropped. The study came to the conclusion that in spite of the new National Housing Policy, housing affordability by the low-income earners has not improved. The policy as it affects the poor has not been duly implemented by both Federal and State Governments. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=house%20prices" title="house prices">house prices</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20affordability" title=" housing affordability"> housing affordability</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20policy" title=" housing policy"> housing policy</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20values" title=" land values"> land values</a>, <a href="https://publications.waset.org/abstracts/search?q=low-income%20earners" title=" low-income earners"> low-income earners</a> </p> <a href="https://publications.waset.org/abstracts/113690/housing-delivery-in-nigerias-urban-areas-the-plight-of-the-poor-in-owerri-capital-of-imo-state-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/113690.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">200</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1220</span> The Potential of Shifting Urban Village to Public Housing through Sharing Economy: Case Study of Shenzhen</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xinrui%20Gao">Xinrui Gao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research aims to explore the potential of shifting urban villages to public housing in China. In common practice, the central and local governments established two divided systems of urban redevelopment and public housing, including aims, design ideas, policy, headquarters, and branch offices. In most cases, the urban regeneration and public housing projects satisfy only the selected part of the society who can afford it (urban regeneration) or meet the requirements (public housing), which fail to cover the housing demand. However, there are many similarities between these two types of housing under the background of a shared economy, especially in target groups, affordable prices, and efficient use of spaces. Shenzhen always takes the lead in China’s urban regeneration and housing reformation. There are some top-down approaches to transforming housing in the urban village into public housing at present. These new approaches will provide a good chance to evaluate existing practices and explore the future development path of urban villages; while at the same time it could positively influence the housing problem in China. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=urban%20village" title="urban village">urban village</a>, <a href="https://publications.waset.org/abstracts/search?q=public%20housing" title=" public housing"> public housing</a>, <a href="https://publications.waset.org/abstracts/search?q=sharing%20economy" title=" sharing economy"> sharing economy</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20redevelopment" title=" urban redevelopment"> urban redevelopment</a> </p> <a href="https://publications.waset.org/abstracts/154615/the-potential-of-shifting-urban-village-to-public-housing-through-sharing-economy-case-study-of-shenzhen" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/154615.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">122</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1219</span> A Panel Cointegration Analysis for Macroeconomic Determinants of International Housing Market</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mei-Se%20Chien">Mei-Se Chien</a>, <a href="https://publications.waset.org/abstracts/search?q=Chien-Chiang%20Lee"> Chien-Chiang Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Sin-Jie%20Cai"> Sin-Jie Cai</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The main purpose of this paper is to investigate the long-run equilibrium and short-run dynamics of international housing prices when macroeconomic variables change. We apply the Pedroni’s, panel cointegration, using the unbalanced panel data analysis of 33 countries over the period from 1980Q1 to 2013Q1, to examine the relationships among house prices and macroeconomic variables. Our empirical results of panel data cointegration tests support the existence of a cointegration among these macroeconomic variables and house prices. Besides, the empirical results of panel DOLS further present that a 1% increase in economic activity, long-term interest rates, and construction costs cause house prices to respectively change 2.16%, -0.04%, and 0.22% in the long run. Furthermore, the increasing economic activity and the construction cost would cause stronger impacts on the house prices for lower income countries than higher income countries. The results lead to the conclusion that policy of house prices growth can be regarded as economic growth for lower income countries. Finally, in America region, the coefficient of economic activity is the highest, which displays that increasing economic activity causes a faster rise in house prices there than in other regions. There are some special cases whereby the coefficients of interest rates are significantly positive in America and Asia regions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=house%20prices" title="house prices">house prices</a>, <a href="https://publications.waset.org/abstracts/search?q=macroeconomic%20variables" title=" macroeconomic variables"> macroeconomic variables</a>, <a href="https://publications.waset.org/abstracts/search?q=panel%20cointegration" title=" panel cointegration"> panel cointegration</a>, <a href="https://publications.waset.org/abstracts/search?q=dynamic%20OLS" title=" dynamic OLS"> dynamic OLS</a> </p> <a href="https://publications.waset.org/abstracts/7549/a-panel-cointegration-analysis-for-macroeconomic-determinants-of-international-housing-market" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/7549.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">391</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1218</span> Housing Loans Determinants before and during Financial Crisis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Josip%20Viskovi%C4%87">Josip Visković</a>, <a href="https://publications.waset.org/abstracts/search?q=Ana%20Rimac%20Smiljani%C4%87"> Ana Rimac Smiljanić</a>, <a href="https://publications.waset.org/abstracts/search?q=Ines%20Ivi%C4%87"> Ines Ivić</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Housing loans play an important role in CEE countries’ economies. This fact is based on their share in total loans to households and their importance for economic activity and growth in CEE countries. Therefore, it is important to find out key determinants of housing loans demand in these countries. The aim of this study is to research and analyze the determinants of the demand for housing loans in Croatia. In this regard, the effect of economic activity, loan terms and real estate prices were analyzed. Also, the aim of this study is to find out what motivates people to take housing loans. Therefore, primarily empirical study was conducted among the Croatian residents. The results show that demand for housing loans is positively affected by economic growth, higher personal income and flexible loan terms, while it is negatively affected by interest rate rise. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=CEE%20countries" title="CEE countries">CEE countries</a>, <a href="https://publications.waset.org/abstracts/search?q=Croatia" title=" Croatia"> Croatia</a>, <a href="https://publications.waset.org/abstracts/search?q=demand%20determinants" title=" demand determinants"> demand determinants</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20loans" title=" housing loans"> housing loans</a> </p> <a href="https://publications.waset.org/abstracts/18312/housing-loans-determinants-before-and-during-financial-crisis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/18312.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">359</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1217</span> A Comparative Study on the Influencing Factors of Urban Residential Land Prices Among Regions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Guo%20Bingkun">Guo Bingkun</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the rapid development of China's social economy and the continuous improvement of urbanization level, people's living standards have undergone tremendous changes, and more and more people are gathering in cities. The demand for urban residents' housing has been greatly released in the past decade. The demand for housing and related construction land required for urban development has brought huge pressure to urban operations, and land prices have also risen rapidly in the short term. On the other hand, from the comparison of the eastern and western regions of China, there are also great differences in urban socioeconomics and land prices in the eastern, central and western regions. Although judging from the current overall market development, after more than ten years of housing market reform and development, the quality of housing and land use efficiency in Chinese cities have been greatly improved. However, the current contradiction between land demand for urban socio-economic development and land supply, especially the contradiction between land supply and demand for urban residential land, has not been effectively alleviated. Since land is closely linked to all aspects of society, changes in land prices will be affected by many complex factors. Therefore, this paper studies the factors that may affect urban residential land prices and compares them among eastern, central and western cities, and finds the main factors that determine the level of urban residential land prices. This paper provides guidance for urban managers in formulating land policies and alleviating land supply and demand. It provides distinct ideas for improving urban planning and improving urban planning and promotes the improvement of urban management level. The research in this paper focuses on residential land prices. Generally, the indicators for measuring land prices mainly include benchmark land prices, land price level values, parcel land prices, etc. However, considering the requirements of research data continuity and representativeness, this paper chooses to use residential land price level values. Reflects the status of urban residential land prices. First of all, based on the existing research at home and abroad, the paper considers the two aspects of land supply and demand and, based on basic theoretical analysis, determines some factors that may affect urban housing, such as urban expansion, taxation, land reserves, population, and land benefits. Factors of land price and correspondingly selected certain representative indicators. Secondly, using conventional econometric analysis methods, we established a model of factors affecting urban residential land prices, quantitatively analyzed the relationship and intensity of influencing factors and residential land prices, and compared the differences in the impact of urban residential land prices between the eastern, central and western regions. Compare similarities. Research results show that the main factors affecting China's urban residential land prices are urban expansion, land use efficiency, taxation, population size, and residents' consumption. Then, the main reason for the difference in residential land prices between the eastern, central and western regions is the differences in urban expansion patterns, industrial structures, urban carrying capacity and real estate development investment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=urban%20housing" title="urban housing">urban housing</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20planning" title=" urban planning"> urban planning</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20prices" title=" housing prices"> housing prices</a>, <a href="https://publications.waset.org/abstracts/search?q=comparative%20study" title=" comparative study"> comparative study</a> </p> <a href="https://publications.waset.org/abstracts/185123/a-comparative-study-on-the-influencing-factors-of-urban-residential-land-prices-among-regions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/185123.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">50</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1216</span> Housing Prices and Travel Costs: Insights from Origin-Destination Demand Estimation in Taiwan’s Science Parks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kai-Wei%20Ji">Kai-Wei Ji</a>, <a href="https://publications.waset.org/abstracts/search?q=Dung-Ying%20Lin"> Dung-Ying Lin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study investigates the impact of transportation on housing prices in regions surrounding Taiwan's science parks. As these parks evolve into crucial economic and population growth centers, they attract an increasing number of residents and workers, significantly influencing local housing markets. This demographic shift raises important questions about the role of transportation in shaping real estate values. Our research examines four major science parks in Taiwan, providing a comparative analysis of how transportation conditions and population dynamics interact to affect housing price premiums. We employ an origin-destination (OD) matrix derived from pervasive traffic data to model travel patterns and their effects on real estate values. The methodology utilizes a bi-level framework: a genetic algorithm optimizes OD demand estimation at the upper level, while a user equilibrium (UE) model simulates traffic flow at the lower level. This approach enables a nuanced exploration of how population growth impacts transportation conditions and housing price premiums. By analyzing the interplay between travel costs based on OD demand estimation and housing prices, we offer valuable insights for urban planners and policymakers. These findings are crucial for informed decision-making in rapidly developing areas, where understanding the relationship between mobility and real estate values is essential for sustainable urban development. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=demand%20estimation" title="demand estimation">demand estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20price" title=" housing price"> housing price</a>, <a href="https://publications.waset.org/abstracts/search?q=transportation" title=" transportation"> transportation</a> </p> <a href="https://publications.waset.org/abstracts/191999/housing-prices-and-travel-costs-insights-from-origin-destination-demand-estimation-in-taiwans-science-parks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/191999.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">20</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1215</span> Investor Psychology, Housing Prices, and Stock Market Response to Policy Decisions During the Covid-19 Recession in the United States</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ly%20Nguyen">Ly Nguyen</a>, <a href="https://publications.waset.org/abstracts/search?q=Vidit%20Munshi"> Vidit Munshi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> During the Covid-19 recession, the United States government has implemented several instruments to mitigate the impacts and revitalize the economy. This paper explores the effects of the various government policy decisions on stock returns, housing prices, and investor psychology during the pandemic in the United States. A numerous previous literature studies on this subject, yet very few focus on the context similar to what we are currently experiencing. Our monthly data covering the period from January 2019 through July 2021 were collected from Datastream. Utilizing the VAR model, we document a dynamic relationship between the market and policy actions throughout the period. In particular, the movements of Unemployment, Stock returns, and Housing prices are strongly sensitive to changes in government policies. Our results also indicate that changes in production level, stock returns, and interest rates decisions influence how investors perceived future market risk and expectations. We do not find any significant nexus between monetary and fiscal policy. Our findings imply that information on government policy and stock market performance provide useful feedback to one another in order to make better decisions in the current and future pandemic. Understanding how the market responds to a shift in government practices has important implications for authorities in implementing policy to avoid assets bubbles and market overreactions. The paper also provides useful implications for investors in evaluating the effectiveness of different policies and diversifying portfolios to minimize systematic risk and maximize returns. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Covid-19%20recession" title="Covid-19 recession">Covid-19 recession</a>, <a href="https://publications.waset.org/abstracts/search?q=United%20States" title=" United States"> United States</a>, <a href="https://publications.waset.org/abstracts/search?q=government%20policies" title=" government policies"> government policies</a>, <a href="https://publications.waset.org/abstracts/search?q=investor%20psychology" title=" investor psychology"> investor psychology</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20prices" title=" housing prices"> housing prices</a>, <a href="https://publications.waset.org/abstracts/search?q=stock%20market%20returns" title=" stock market returns"> stock market returns</a> </p> <a href="https://publications.waset.org/abstracts/143674/investor-psychology-housing-prices-and-stock-market-response-to-policy-decisions-during-the-covid-19-recession-in-the-united-states" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/143674.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">172</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1214</span> Effects of Education Equity Policy on Housing Prices: Evidence from Simultaneous Admission to Public and Private Schools Policy in Shanghai</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tianyu%20Chen">Tianyu Chen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> China's school district education policy has encouraged parents to purchase properties in school districts with high-quality education resources. Shanghai has implemented "Simultaneous Admission to Public and Private Schools" (SAPPS) since 2018, which has covered all nine-year compulsory education by 2020. This study examines the impact of SAPPS on the housing market, specifically the premium effect of houses located in dual-school districts. Based on the Hedonic Pricing Model and the Signaling Theory, data is collected from 585 second-hand house transactions in Pudong New Area, Shanghai, and it is analyzed with the Difference-in-Differences (DID) model. The results indicate that the implementation of SAPPS has exacerbated the premium of dual school district housing and weakened the effect of the policy to a certain degree. To ensure equal access to education for all students, the government should work both on the supply and demand sides of the education resource equation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=simultaneous%20admission%20to%20public%20and%20private%20schools" title="simultaneous admission to public and private schools">simultaneous admission to public and private schools</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20prices" title=" housing prices"> housing prices</a>, <a href="https://publications.waset.org/abstracts/search?q=education%20policy" title=" education policy"> education policy</a>, <a href="https://publications.waset.org/abstracts/search?q=education%20equity" title=" education equity"> education equity</a> </p> <a href="https://publications.waset.org/abstracts/165511/effects-of-education-equity-policy-on-housing-prices-evidence-from-simultaneous-admission-to-public-and-private-schools-policy-in-shanghai" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/165511.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">77</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1213</span> Housing Security System and Household Entrepreneurship: Evidence from China</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wangshi%20Yong">Wangshi Yong</a>, <a href="https://publications.waset.org/abstracts/search?q=Wei%20Shi"> Wei Shi</a>, <a href="https://publications.waset.org/abstracts/search?q=Jing%20Zou"> Jing Zou</a>, <a href="https://publications.waset.org/abstracts/search?q=Qiang%20Li"> Qiang Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Yilin%20Tian"> Yilin Tian</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the advancement of the reform of China’s housing security system, the impact is becoming increasingly profound. This paper explores the relationship between the housing security system and household entrepreneurship on the 2017 China Household Finance Survey (CHFS) and conducts a large number of robustness checks, including PSM and IV estimation. The results show that the assistance of the housing security system will significantly promote family entrepreneurship, increasing the probability of entrepreneurship by 2%. Its internal mechanism is mainly achieved by relaxing liquidity constraints and increasing household social capital. However, the risk preference effect has not existed. Heterogeneity analysis shows that the positive impact of the housing security system on family entrepreneurship is mainly reflected in areas with high housing prices and incomes, as well as households with long-term security and social or commercial insurance. Meanwhile, it also verifies that the positive externalities of the housing security system will also positively affect active entrepreneurial motivation, entrepreneurial intensity, and entrepreneurial innovation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=the%20housing%20security%20system" title="the housing security system">the housing security system</a>, <a href="https://publications.waset.org/abstracts/search?q=household%20entrepreneurship" title=" household entrepreneurship"> household entrepreneurship</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20capital" title=" social capital"> social capital</a>, <a href="https://publications.waset.org/abstracts/search?q=liquidity%20constraints" title=" liquidity constraints"> liquidity constraints</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20preference" title=" risk preference"> risk preference</a> </p> <a href="https://publications.waset.org/abstracts/169555/housing-security-system-and-household-entrepreneurship-evidence-from-china" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/169555.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">84</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1212</span> The Affordable Housing Problems of Elderly Households in the Istanbul Metropolitan Area</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Elifsu%20Sahin">Elifsu Sahin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the world and in Turkey, approximately 1 in 10 people is 65 years of age or older. The age group of 65 and over is the fastest-growing age group since 1990. This demographic aging trend and demographic transformation have spread over a long period in Western Europe and North America, while in Turkey, they have occurred over a relatively short period. The aging of the population poses many challenges in terms of housing supply, housing satisfaction, and economic access to housing, due to factors such as a decrease in the number of people in households, low incomes, and increased time spent in housing and housing neighborhoods. On the other hand, since 2000, neoliberal economic policies and government policies have led to serious growth in the construction and housing sectors in Turkey. During this process, the housing market in Turkey generally produced housing for high-income groups and foreigners. Housing has become an investment instrument, and rising housing prices and rents have seriously reduced both the affordability of housing and households' chances of living in healthy housing. Housing has become a growing problem for vulnerable groups such as low- and middle-income households, students, refugees, and the elderly. Moreover, in recent years, international migration, pandemics, economic crises, inflation, and the expected Istanbul earthquake have raised housing prices and rent in Turkey as a whole, especially in Istanbul. The aim of the study is to investigate how elderly households that don't own homes deal with the economic accessibility of housing and other affordability-related housing problems in the Istanbul Metropolitan Area today, when housing becomes an investment instrument, the issue of social housing is not on the agenda, and households can be added to the market according to their ability to pay. A complex method was adopted in the research, using a combination of various statistical data and interview findings. Based on household income, in-depth interviews were conducted with 100 elderly households who don't own their own homes and were randomly selected in identified neighborhoods, analyzing the micro-area within the districts in the Istanbul Metropolitan Area, where middle- and low-income households are concentrated. The study found that more than 50% of the net income of elderly households was spent on rent and other housing expenses. Some of the households said that they restrict spending on food, health, and entertainment because of their housing expenses. Among the findings of the study is that households receive financial support from their children or move into their children’s house for economic reasons. Due to the decrease in household income, especially after the loss of a spouse, the single individual moves into their children’s house. Moreover, some of the interviewed households had to change their house and move to a smaller, lower-rent house on the urban periphery for economic reasons after retirement, especially after 2020, despite their unwillingness. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=affordable%20housing" title="affordable housing">affordable housing</a>, <a href="https://publications.waset.org/abstracts/search?q=elderly%20households" title=" elderly households"> elderly households</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20policy" title=" housing policy"> housing policy</a>, <a href="https://publications.waset.org/abstracts/search?q=istanbul%20metropolitan%20area" title=" istanbul metropolitan area"> istanbul metropolitan area</a> </p> <a href="https://publications.waset.org/abstracts/187479/the-affordable-housing-problems-of-elderly-households-in-the-istanbul-metropolitan-area" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/187479.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">33</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1211</span> Valuation of Cultural Heritage: A Hedonic Pricing Analysis of Housing via GIS-based Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dai-Ling%20Li">Dai-Ling Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Jung-Fa%20Cheng"> Jung-Fa Cheng</a>, <a href="https://publications.waset.org/abstracts/search?q=Min-Lang%20Huang"> Min-Lang Huang</a>, <a href="https://publications.waset.org/abstracts/search?q=Yun-Yao%20Chi"> Yun-Yao Chi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The hedonic pricing model has been popularly applied to describe the economic value of environmental amenities in urban housing, but the results for cultural heritage variables remain relatively ambiguous. In this paper, integrated variables extending by GIS-based data and an existing typology of communities used to examine how cultural heritage and environmental amenities and disamenities affect housing prices across urban communities in Tainan, Taiwan. The developed models suggest that, although a sophisticated variable for central services is selected, the centrality of location is not fully controlled in the price models and thus picked up by correlated peripheral and central amenities such as cultural heritage, open space or parks. Analysis of these correlations permits us to qualify results and present a revised set of relatively reliable estimates. Positive effects on housing prices are identified for views, various types of recreational infrastructure and vicinity of nationally cultural sites and significant landscapes. Negative effects are found for several disamenities including wasteyards, refuse incinerators, petrol stations and industries. The results suggest that systematic hypothesis testing and reporting of correlations may contribute to consistent explanatory patterns in hedonic pricing estimates for cultural heritage and landscape amenities in urban. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hedonic%20pricing%20model" title="hedonic pricing model">hedonic pricing model</a>, <a href="https://publications.waset.org/abstracts/search?q=cultural%20heritage" title=" cultural heritage"> cultural heritage</a>, <a href="https://publications.waset.org/abstracts/search?q=landscape%20amenities" title=" landscape amenities"> landscape amenities</a>, <a href="https://publications.waset.org/abstracts/search?q=housing" title=" housing"> housing</a> </p> <a href="https://publications.waset.org/abstracts/82549/valuation-of-cultural-heritage-a-hedonic-pricing-analysis-of-housing-via-gis-based-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/82549.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">339</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1210</span> Rental Housing May Address Affordable Housing Deficiency in India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Meha%20Singla">Meha Singla</a>, <a href="https://publications.waset.org/abstracts/search?q=Shankhadeep%20Chaudhuri"> Shankhadeep Chaudhuri</a>, <a href="https://publications.waset.org/abstracts/search?q=Yadunandan%20Batchu"> Yadunandan Batchu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Rental Housing is a more cost effective and flexible housing solution for the low income families than home-ownership. While India is undergoing a new industrial metamorphosis with multiple government initiatives that emphasise on the growth of manufacturing sector through policy frameworks and corridor development proposals, there is going to be a huge influx of low-income working population to the upcoming urban centres. As per stats, about 70 per cent of the housing demand at these centres fall into the affordable segment. And in the midst of this rapid urbanisation and huge immigration of young population, there is a lack of proper rental housing framework in the country. A large number of immigrants will be unable to support home-ownership thereby leading to proliferation of slums in urban centres. As a result, there is a dire need for immediate articulation of a comprehensive rental housing policy and affordable housing initiatives. In this paper, CommonFloor attempts to analyse successful rental housing case studies of the world followed by establishing a correlation between the gap in urban rental housing stock and the per capita income statistics to devise rental housing affordability specific to major Indian cities (Delhi, Mumbai, Bangalore, Chennai). Further, with the corroboration of market price trends, it will try to locate feasible micro-markets for immediate rental housing action. Final research findings will provide key data points thereby helping to design the approach for efficient utilisation of unsold residential inventory in the country in order to compensate the rental housing deficiency. This data set is believed to express viable model(s) of the rental housing approach for the government and private participants. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=housing%20prices" title="housing prices">housing prices</a>, <a href="https://publications.waset.org/abstracts/search?q=migration%20of%20population" title=" migration of population"> migration of population</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20estate" title=" real estate"> real estate</a>, <a href="https://publications.waset.org/abstracts/search?q=rental%20housing" title=" rental housing"> rental housing</a>, <a href="https://publications.waset.org/abstracts/search?q=rental%20markets" title=" rental markets"> rental markets</a>, <a href="https://publications.waset.org/abstracts/search?q=residential%20property%20market" title=" residential property market"> residential property market</a>, <a href="https://publications.waset.org/abstracts/search?q=urbanisation" title=" urbanisation"> urbanisation</a> </p> <a href="https://publications.waset.org/abstracts/46414/rental-housing-may-address-affordable-housing-deficiency-in-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/46414.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">307</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1209</span> The Development of Private Housing Schemes to Address the Housing Problem: A Case Study of Islamabad</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zafar%20Iqbal%20Zafar">Zafar Iqbal Zafar</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdul%20Waheed"> Abdul Waheed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Capital Development Authority (CDA) Ordinance 1960 requires CDA to acquire land for the provision of housing in Islamabad. However, the pace of residential development was slow and the demand for housing was increasing rapidly. To resolve the growing housing problem, CDA involved the private sector in the development of housing schemes. Detailed bye-laws for regulation of private housing schemes were prepared and these bylaws were called “Modalities & Procedures”. This paper explains how the Modalities and Procedures of CDA have been successful in regulating the development of private housing schemes in Islamabad. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=housing%20schemes" title="housing schemes">housing schemes</a>, <a href="https://publications.waset.org/abstracts/search?q=master%20plan" title=" master plan"> master plan</a>, <a href="https://publications.waset.org/abstracts/search?q=development%20works" title=" development works"> development works</a>, <a href="https://publications.waset.org/abstracts/search?q=zoning%20regulations" title=" zoning regulations"> zoning regulations</a> </p> <a href="https://publications.waset.org/abstracts/145778/the-development-of-private-housing-schemes-to-address-the-housing-problem-a-case-study-of-islamabad" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/145778.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">201</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1208</span> Forms of Social Provision for Housing Investments in Local Planning Acts for European Capitals: Comparative Study and Spatial References</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Agata%20Twardoch">Agata Twardoch</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The processes of commodification of real estate and changes in housing markets have led to a situation where the prices of free market housing in European capitals are significantly higher than the purchasing value of average wages. This phenomenon has many negative social and spatial consequences. At the same time, the attractiveness of real estate as an asset makes these processes progress. Out of concern for sustainable social development, city authorities apply solutions to balance the burdensome effects of codification of housing. One of them is a social provision for housing investments. The article presents a comparative study of solutions applied in selected European capitals, on the example of Warsaw, Paris, London, Berlin, Copenhagen, and Vienna. The study was conducted along with works on expert report for the master plan for Warsaw. The forms of commissions applied in Local Planning Acts were compared, with particular reference to spatial solutions. The results of the analysis made it possible to determine common features of the solutions applied and to establish recommendations for further practice. Major findings of the study indicate that requirement of social provision is achievable in spatial planning documents. Study shows that application of social provision in private housing investments is a useful tool in housing policy against commodification. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=affordable%20housing" title="affordable housing">affordable housing</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20provision" title=" housing provision"> housing provision</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20planning" title=" spatial planning"> spatial planning</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20social%20development" title=" sustainable social development"> sustainable social development</a> </p> <a href="https://publications.waset.org/abstracts/119072/forms-of-social-provision-for-housing-investments-in-local-planning-acts-for-european-capitals-comparative-study-and-spatial-references" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/119072.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">179</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1207</span> Measuring Housing Quality Using Geographic Information System (GIS)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Silvija%20%C5%A0Iljeg">Silvija ŠIljeg</a>, <a href="https://publications.waset.org/abstracts/search?q=Ante%20%C5%A0Iljeg"> Ante ŠIljeg</a>, <a href="https://publications.waset.org/abstracts/search?q=Ivan%20Mari%C4%87"> Ivan Marić</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Measuring housing quality is being done on objective and subjective level using different indicators. During the research 5 urban and housing indicators formed according to 58 variables from different housing, domains were used. The aims of the research were to measure housing quality based on GIS approach and to detect critical points of housing in the example of Croatian coastal Town Zadar. The purposes of GIS in the research are to generate models of housing quality indexes by standardisation and aggregation of variables and to examine accuracy model of housing quality index. Analysis of accuracy has been done on the example of variable referring to educational objects availability. By defining weighted coefficients and using different GIS methods high, middle and low housing quality zones were determined. Obtained results can be of use to town planners, spatial planners and town authorities in the process of generating decisions, guidelines, and spatial interventions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=housing%20quality" title="housing quality">housing quality</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20quality%20index" title=" housing quality index"> housing quality index</a>, <a href="https://publications.waset.org/abstracts/search?q=indicators" title=" indicators"> indicators</a>, <a href="https://publications.waset.org/abstracts/search?q=models%20of%20housing%20quality" title=" models of housing quality"> models of housing quality</a> </p> <a href="https://publications.waset.org/abstracts/53181/measuring-housing-quality-using-geographic-information-system-gis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/53181.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">299</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1206</span> Preference for Housing Services and Rational House Price Bubbles</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Stefanie%20Jeanette%20Huber">Stefanie Jeanette Huber</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper explores the relevance and implications of preferences for housing services on house price fluctuations through the lens of an overlapping generation’s model. The model implies that an economy whose agents have lower preferences for housing services is characterized with lower expenditure shares on housing services and will tend to experience more frequent and more volatile housing bubbles. These model predictions are tested empirically in the companion paper Housing Booms and Busts - Convergences and Divergences across OECD countries. Between 1970 - 2013, countries who spend less on housing services as a share of total income experienced significantly more housing cycles and the associated housing boom-bust cycles were more violent. Finally, the model is used to study the impact of rental subsidies and help-to-buy schemes on rational housing bubbles. Rental subsidies are found to contribute to the control of housing bubbles, whereas help-to- buy scheme makes the economy more bubble-prone. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=housing%20bubbles" title="housing bubbles">housing bubbles</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20booms%20and%20busts" title=" housing booms and busts"> housing booms and busts</a>, <a href="https://publications.waset.org/abstracts/search?q=preference%20for%20housing%20services" title=" preference for housing services"> preference for housing services</a>, <a href="https://publications.waset.org/abstracts/search?q=expenditure%20shares%20for%20housing%20services" title=" expenditure shares for housing services"> expenditure shares for housing services</a>, <a href="https://publications.waset.org/abstracts/search?q=rental%20and%20purchase%20subsidies" title=" rental and purchase subsidies"> rental and purchase subsidies</a> </p> <a href="https://publications.waset.org/abstracts/46437/preference-for-housing-services-and-rational-house-price-bubbles" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/46437.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">299</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1205</span> The Influence of Housing Choice Vouchers on the Private Rental Market</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Randy%20D.%20Colon">Randy D. Colon</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Through a freedom of information request, data pertaining to Housing Choice Voucher (HCV) households has been obtained from the Chicago Housing Authority, including rent price and number of bedrooms per HCV household, community area, and zip code from 2013 to the first quarter of 2018. Similar data pertaining to the private rental market will be obtained through public records found through the United States Department of Housing and Urban Development. The datasets will be analyzed through statistical and mapping software to investigate the potential link between HCV households and distorted rent prices. Quantitative data will be supplemented by qualitative data to investigate the lived experience of Chicago residents. Qualitative data will be collected at community meetings in the Chicago Englewood neighborhood through participation in neighborhood meetings and informal interviews with residents and community leaders. The qualitative data will be used to gain insight on the lived experience of community leaders and residents of the Englewood neighborhood in relation to housing, the rental market, and HCV. While there is an abundance of quantitative data on this subject, this qualitative data is necessary to capture the lived experience of local residents effected by a changing rental market. This topic reflects concerns voiced by members of the Englewood community, and this study aims to keep the community relevant in its findings. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chicago" title="Chicago">Chicago</a>, <a href="https://publications.waset.org/abstracts/search?q=housing" title=" housing"> housing</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20choice%20voucher%20program" title=" housing choice voucher program"> housing choice voucher program</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20subsidies" title=" housing subsidies"> housing subsidies</a>, <a href="https://publications.waset.org/abstracts/search?q=rental%20market" title=" rental market"> rental market</a> </p> <a href="https://publications.waset.org/abstracts/97346/the-influence-of-housing-choice-vouchers-on-the-private-rental-market" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/97346.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">118</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1204</span> Review on Recent Dynamics and Constraints of Affordable Housing Provision in Nigeria: A Case of Growing Economic Precarity</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ikenna%20Stephen%20Ezennia">Ikenna Stephen Ezennia</a>, <a href="https://publications.waset.org/abstracts/search?q=Sebnem%20Onal%20Hoscara"> Sebnem Onal Hoscara</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Successive governments in Nigeria are faced with the pressing problem of how to house an ever-expanding urban population, usually low-income earners. The question of housing and affordability presents a complex challenge for these governments, as the commodification of housing links it inextricably to markets and capital flows. Therefore, placing it as at the center of the government’s agenda. However, the provision of decent and affordable housing for average Nigerians has remained an illusion, despite copious schemes, policies and programs initiated and carried out by various successive governments. Similarly, this phenomenon has also been observed in many countries of Africa, which is largely a result of economic unpredictability, lack of housing finance and insecurity, among other factors peculiar to a struggling economy. This study reviews recent dynamics and factors challenging the provision and development of affordable housing for the low income urban populace of Nigeria. Thus, the aim of the study is to present a comprehensive approach for understanding recent trends in the provision of affordable housing for Nigerians. The approach is based on a new paradigm of research: transdisciplinarity; a form of inquiry that crosses the boundaries of different disciplines. Therefore, the review takes a retrospective gaze at the various housing development programs/schemes/policies taken by successive governments of Nigeria within the last few decades and exams recent efforts geared towards eradicating the problems of housing delivery. Sources of data included relevant English language articles and the results of literature search of Elsevier Science Direct, ISI Web of Knowledge, Pro Quest Central, Scopus, and Google Scholar. The findings reveal that factors such as; rapid urbanization, inadequate planning and land use control, lack of adequate and favorable finance, high prices of land, high prices of building material, youth/touts harassment of developers, poor urban infrastructure, multiple taxation, and risk share are the major factors posing as a hindrance to adequate housing delivery. The results show that the majority of Nigeria’s affordable housing schemes, programs and policies are in most cases poorly implemented and abandoned without proper coordination. Consequently, the study concludes that the affordable housing delivery strategies in Nigeria are an epitome of lip service politics by successive governments; and the current trend of leaving housing provision to the vagaries of market forces cannot be expected to support affordable housing especially for the low income urban populace. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=affordable%20housing" title="affordable housing">affordable housing</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20delivery" title=" housing delivery"> housing delivery</a>, <a href="https://publications.waset.org/abstracts/search?q=national%20housing%20policy" title=" national housing policy"> national housing policy</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20poor" title=" urban poor"> urban poor</a> </p> <a href="https://publications.waset.org/abstracts/93754/review-on-recent-dynamics-and-constraints-of-affordable-housing-provision-in-nigeria-a-case-of-growing-economic-precarity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/93754.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">220</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1203</span> Principles of Sustainable and Affordable Housing Policy for Afghan Refugees Returning to Afghanistan</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Saraj%20Sharifzai">Mohammad Saraj Sharifzai</a>, <a href="https://publications.waset.org/abstracts/search?q=Keisuke%20Kitagawa"> Keisuke Kitagawa</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Kamil%20Halimee"> Mohammad Kamil Halimee</a>, <a href="https://publications.waset.org/abstracts/search?q=Javid%20Habib"> Javid Habib</a>, <a href="https://publications.waset.org/abstracts/search?q=Daishi%20Sakaguchi"> Daishi Sakaguchi </a> </p> <p class="card-text"><strong>Abstract:</strong></p> The overall goal of this paper is to examine the suitability and potential of the policies addressing the sustainability and affordability of housing for returnees, and to determine the impact of this policy on housing delivery for Afghan refugees. Housing is a central component of the settlement experience of refugees. A positive housing situation can facilitate many aspects of integration. Unaffordable, and unsafe housing, however, can cause disruptions in the entire settlement process. This paper aims to identify a suite of built forms for housing that is both affordable and environmentally sustainable for Afghan refugees. The result was the development of a framework that enables the assessment of the overall performance of various types of housing development in all zones of the country. There is very little evidence that the present approach of housing provision to the vagaries of market forces has provided affordable housing, especially for Afghan refugees. There is a need to incorporate social housing into the policy to assist people who cannot afford to have their own houses. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Afghan%20refugees" title="Afghan refugees">Afghan refugees</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20policy" title=" housing policy"> housing policy</a>, <a href="https://publications.waset.org/abstracts/search?q=affordability" title=" affordability"> affordability</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20housing" title=" social housing"> social housing</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20provision" title=" housing provision"> housing provision</a>, <a href="https://publications.waset.org/abstracts/search?q=environmental%20sustainability%20principles" title=" environmental sustainability principles"> environmental sustainability principles</a>, <a href="https://publications.waset.org/abstracts/search?q=resettlement" title=" resettlement"> resettlement</a> </p> <a href="https://publications.waset.org/abstracts/41538/principles-of-sustainable-and-affordable-housing-policy-for-afghan-refugees-returning-to-afghanistan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/41538.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">567</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1202</span> Sustainability of Urban Affordable Housing in Malaysia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lim%20Poh%20Im">Lim Poh Im</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper examines the current strategic and planning issues in the provision of affordable housing in urban centres in Malaysia from the perspective of sustainability. Sustainability here refers to social sustainability such as the need to address urban poverty and ensure better quality of life; economic sustainability in ensuring that the financial mechanisms are healthy and stable in the long-run, and to a lesser extent, environmental sustainability in reducing pollution related problems and building footprint. The Malaysian affordable housing sector has undergone tremendous transformations since the sixties, transcending from the earlier social housing catering to the poorer strata of the society, to the current state of housing woes plaguing the young urban middle class. The increase in urban land prices and construction costs, coupled with rampant property speculative and manipulative activities have resulted in situations of housing that are largely unaffordable even to the middle income sector of the urban populations. To overcome such scenario, the public as well as private sectors in the recent years, have came up with various intermediate, as well as medium-term policies aimed to curb the burning housing needs of the urban populations. Key strategies include financial intervention in regulating the interests rates, imposing property gain taxes; loosening the requirement for density and other planning requirements, faster approval of projects, compulsory contribution from developers, etc. Some of the policies are commendable, while others are ad-hoc by nature, and are not able to resolve the long-term socio-economic challenges. This paper discusses and examines the issues from the ‘sustainability’ perspective, focusing on key fiscal, land use and planning policies, as well as the more subtle (but important) political and institutional factors shaping the provision of mass housing for the urban populations in Malaysia. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=affordable%20housing" title="affordable housing">affordable housing</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20housing" title=" urban housing"> urban housing</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20housing" title=" sustainable housing"> sustainable housing</a>, <a href="https://publications.waset.org/abstracts/search?q=planning%20for%20urban%20housing" title=" planning for urban housing"> planning for urban housing</a> </p> <a href="https://publications.waset.org/abstracts/32341/sustainability-of-urban-affordable-housing-in-malaysia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32341.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">443</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1201</span> Partial Replacement of Lateritic Soil with Crushed Rock Sand (Stone Dust) in Compressed Earth Brick Production</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20M.%20Jungudo">A. M. Jungudo</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20A.%20Lasan"> M. A. Lasan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Affordable housing has long been one of the basic necessities of life to man. The ever rising prices of building materials are one of the major causes of housing shortage in many developing countries. Breaching the gap of housing needs in developing countries like Nigeria is an awaiting task longing for attention. This is due to lack of research in the development of local materials that will suit the troubled economies of these countries. The use of earth material to meet the housing needs is a sustainable option and its material is freely available universally. However, people are doubtful of using the earth material due to its modest outlook and uncertain durability. This research aims at enhancing the durability of Compressed Earth Bricks (CEBs) using stone dust as a stabilizer. The result indicates that partial replacement of lateritic soil with stone dust at 30% improves its compressive strength along with abrasive resistance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=earth%20construction" title="earth construction">earth construction</a>, <a href="https://publications.waset.org/abstracts/search?q=durability" title=" durability"> durability</a>, <a href="https://publications.waset.org/abstracts/search?q=stone%20dust" title=" stone dust"> stone dust</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable" title=" sustainable"> sustainable</a> </p> <a href="https://publications.waset.org/abstracts/113416/partial-replacement-of-lateritic-soil-with-crushed-rock-sand-stone-dust-in-compressed-earth-brick-production" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/113416.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">131</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1200</span> Microeconomic Consequences of the Housing Market Deformation in the Selected Region of the Czech Republic</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hana%20Jan%C3%A1%C4%8Dkov%C3%A1">Hana Janáčková</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Housing can be sorted as basic needs of households. Purchase of acceptable ownership housing is important investments for most them. For rental housing households must consider the part of rent expenditure paid in the total household income. For this reason, financial considerations of households in this area depend on the government innervations (public administration) in housing - on housing policy. Market system of housing allocation, whether ownership or tenancy, is based on the fact that housing is a scarce good. The allocation of housing is based on demand and supply. The market system of housing can sometimes have a negative impact on some households, the market is unable to satisfy certain groups of the population that are not able or willing to accept market price. For these reasons, there is a more or less regulation of the market. Regulation is both on the demand and supply side, and the state determines the rules of behaviour for all economic entities of the housing market. This article submits results of analysis of selected regulatory interference of the state in the housing market and assesses their implications deforming the market in the selected region of the Czech Republic. The first part describes tools of supports and the second part discusses deformations and analyses their consequences on the demand side of housing market and on supply side. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=housing" title="housing">housing</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20market" title=" housing market"> housing market</a>, <a href="https://publications.waset.org/abstracts/search?q=microeconomic%20consequences" title=" microeconomic consequences"> microeconomic consequences</a>, <a href="https://publications.waset.org/abstracts/search?q=deformation" title=" deformation"> deformation</a> </p> <a href="https://publications.waset.org/abstracts/64218/microeconomic-consequences-of-the-housing-market-deformation-in-the-selected-region-of-the-czech-republic" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/64218.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">399</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1199</span> Resale Housing Development Board Price Prediction Considering Covid-19 through Sentiment Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Srinaath%20Anbu%20Durai">Srinaath Anbu Durai</a>, <a href="https://publications.waset.org/abstracts/search?q=Wang%20Zhaoxia"> Wang Zhaoxia</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Twitter sentiment has been used as a predictor to predict price values or trends in both the stock market and housing market. The pioneering works in this stream of research drew upon works in behavioural economics to show that sentiment or emotions impact economic decisions. Latest works in this stream focus on the algorithm used as opposed to the data used. A literature review of works in this stream through the lens of data used shows that there is a paucity of work that considers the impact of sentiments caused due to an external factor on either the stock or the housing market. This is despite an abundance of works in behavioural economics that show that sentiment or emotions caused due to an external factor impact economic decisions. To address this gap, this research studies the impact of Twitter sentiment pertaining to the Covid-19 pandemic on resale Housing Development Board (HDB) apartment prices in Singapore. It leverages SNSCRAPE to collect tweets pertaining to Covid-19 for sentiment analysis, lexicon based tools VADER and TextBlob are used for sentiment analysis, Granger Causality is used to examine the relationship between Covid-19 cases and the sentiment score, and neural networks are leveraged as prediction models. Twitter sentiment pertaining to Covid-19 as a predictor of HDB price in Singapore is studied in comparison with the traditional predictors of housing prices i.e., the structural and neighbourhood characteristics. The results indicate that using Twitter sentiment pertaining to Covid19 leads to better prediction than using only the traditional predictors and performs better as a predictor compared to two of the traditional predictors. Hence, Twitter sentiment pertaining to an external factor should be considered as important as traditional predictors. This paper demonstrates the real world economic applications of sentiment analysis of Twitter data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sentiment%20analysis" title="sentiment analysis">sentiment analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=Covid-19" title=" Covid-19"> Covid-19</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20price%20prediction" title=" housing price prediction"> housing price prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=tweets" title=" tweets"> tweets</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20media" title=" social media"> social media</a>, <a href="https://publications.waset.org/abstracts/search?q=Singapore%20HDB" title=" Singapore HDB"> Singapore HDB</a>, <a href="https://publications.waset.org/abstracts/search?q=behavioral%20economics" title=" behavioral economics"> behavioral economics</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20networks" title=" neural networks"> neural networks</a> </p> <a href="https://publications.waset.org/abstracts/158988/resale-housing-development-board-price-prediction-considering-covid-19-through-sentiment-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/158988.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">116</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=housing%20prices&page=2">2</a></li> <li class="page-item"><a class="page-link" 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