scholarly journals Housing Supply Limitations, Land Readjustment and the Ecological Performance of the Urban Landscape

2021 ◽  
Vol 13 (17) ◽  
pp. 9774
Author(s):  
Klaas Kresse ◽  
Erwin van der Krabben

Public authorities in developing economies typically have to deal with fiscal stress, lack of resources and an underdeveloped real estate industry. This poses a severe challenge at times of rapid urbanisation. Governments typically react to housing demand shocks by introducing policies that support the real estate market’s capacity to supply housing. One prominent policy in this respect is land readjustment. It has been promoted as a best practice and has been extensively discussed from an efficiency perspective; however, little is known about the ecological performance of the urban landscapes that typically emerge with this tool. Therefore, this study developed an assessment framework that allows discussion of the ecological performance of these neighbourhoods as an outcome of the reciprocal interaction between public sector initiatives and real estate market responses. Based on a LEED ND assessment of the cases of Taipei and Seoul, the research identifies four institutional drivers of ecological costs. First, public agencies tend to neglect the ecological costs of greenfield site developments. Second, public agencies to not employ policies that promoe brownfield developments. Third, a weak public sectors’ negotiating position can result in an ecologically inefficient urban pattern. And finally, the public sector’s construction standardisation policies can impose real estate market limitations and wasteful use of resources in the long run.

2021 ◽  
Vol 13 (14) ◽  
pp. 7550
Author(s):  
Roberto Cervelló-Royo ◽  
Marina Segura ◽  
Regina García-Pérez ◽  
Baldomero Segura-García del Río

This paper examines key aspects of the behavior of housing demand from a sustainable standpoint. Most studies have mainly focused on housing supply, looking at quantitative predictions without considering the qualitative relationship found between housing values and housing demand on a sustainable and microeconomic scale. We used a multicriteria decision methodology (analytic hierarchy process—AHP) for the analysis of preferences in demand, based on the theory of multi-attribute utility of housing, to determine the relative importance of each characteristic of housing and its influence on the decision-making process. For this purpose, we carried out the study over three main groups of stakeholders in the housing market: real estate surveyors, real estate agents, and housing buyers (the latter representing the housing demand). Results show that although there might be some slight discrepancies among the three groups in the decision-making process and the weighting of housing attributes, the three groups agree in most of the process, especially when defining the criteria and the importance that each criterion has on the process of valuation. This study provides important managerial and sustainable implications for the real estate market related to urban public policy, as we highlight which criteria are most preferred.


2020 ◽  
Vol 8 (3) ◽  
pp. 139
Author(s):  
Nworah Joseph Chukwuma

The ever increasing global competition among real estate investment organizations has it made imperative for industry players to continually invest in real estate market research to guide them in investment decisions. The quality of market research report provided by the market research professional/consultant is expected to reflect on the quality of outcome of investment decisions made by the investors ad invariably affects the marketability and profitability of the investment concerned. This study investigates the effect of quality market research on the marketability and profitability of real estate investment in developing economies taking Lagos-Nigeria, as case study. The study area is Lagos metropolis, southwestern Nigeria, chosen because of its strategic relevance in real estate investment, as emerging market. Research design is cross-sectional type which is descriptive and the study population consists of respondents who are real estate research consultants and real estate investors in the study area. Random sampling technique was applied and research instrument was closed and open-ended structured questionnaire and face-to interviews for the primary data; and Journals, textbooks, published articles and internet for secondary data. Data collected was analyzed using simple descriptive and statistical tools such as frequency distribution tables, charts, percentages, mean scores, pearson correlation, Analysis of variance (ANOVA) as well as Likert scale. The summary of the result of the data analysis shows that market research contributes immensely to the Property Investment Performance in major indices. The result also established healthy relationship between the quality of market research and real estate investment performance showing that the correlation coefficient of 0.240 significant at 10% level. Subsequently, the study recommended among other things, the establishment of data bank for all real estate performance indices; and real estate market research institute by the Federal Government of Nigeria.


2021 ◽  
Vol 62 (4) ◽  
pp. 48-56
Author(s):  
Duc Huu Hoang ◽  
Lan Thi Pham ◽  
Ha Thu Thi Le ◽  
Phi Hoang Nguyen ◽  
Hai Quoc Duong ◽  
...  

Determination of land price is one of the most important land management roles. Land prices and changes of land prices are evident in the real estate market. The real estate market plays an important role in the economy of Vietnam. Recently, when the population is increasing, leading to increased housing demand. The distribution of the population is concentrated in big cities. Then the demand for land information, especially land prices are always interested by people. However, real information on land price is always lacking and virtual. If people want the real estate market to develop well, information on land price must be clear and adequate. The land price area map satisfies those requirements. Land price zone map helps managers about land effectively and the land price map also helps the people - participants in the real estate market to grasp the most reliable information of land prices. GIS technology is applied in the paper to zone land prices using land price information collecting in Ward 10, District 8, Ho Chi Minh City


2019 ◽  
Vol 2 (2) ◽  

The ever increasing global competition among real estate investment organizations has it made imperative for industry players to continually invest in real estate market research to guide them in investment decisions. The quality of market research report provided by the market research professional/consultant is expected to reflect on the quality of outcome of investment decisions made by the investors ad invariably affects the marketability and profitability of the investment concerned. This study investigates the effect of quality market research on the marketability and profitability of real estate investment in developing economies taking Lagos-Nigeria, as case study. The study area is Lagos metropolis, southwestern Nigeria, chosen because of its strategic relevance in real estate investment, as emerging market. Research design is cross-sectional type which is descriptive and the study population consists of respondents who are real estate research consultants and real estate investors in the study area. Random sampling technique was applied and research instrument was closed and open-ended structured questionnaire and face-to interviews for the primary data; and Journals, textbooks, published articles and internet for secondary data. Data collected was analyzed using simple descriptive and statistical tools such as frequency distribution tables, charts, percentages, mean scores, pearson correlation, Analysis of variance (ANOVA) as well as Likert scale. The summary of the result of the data analysis shows that market research contributes immensely to the Property Investment Performance in major indices. The result also established healthy relationship between the quality of market research and real estate investment performance showing that the correlation coefficient of 0.240 significant at 10% level. Subsequently, the study recommended among other things, the establishment of data bank for all real estate performance indices; and real estate market research institute by the Federal Government of Nigeria.


2021 ◽  
Vol 0 (0) ◽  
pp. 1-14
Author(s):  
Abdul Wahid ◽  
Edmund H. Mantell ◽  
Muhammad Zubair Mumtaz

In this paper the meaning of “under invoicing in a real estate market” signifies that the market value of real property exceeds its record value appearing in government documentation. The purpose of this study is to identify the level of under invoicing and determine the factors that affect the under invoicing in real estate markets in Pakistan. We apply OLS and Extreme Bounds Analysis techniques to test our propositions. The statistical sample consists of 338 real estate contracts. We find that under invoicing is determined by a multiplicity of factor. These include: the capital gains tax rate, the measurable amount of corruption in the economy, the risk-free rate, a buyer’s profession, the reputation of the local housing authority, and the degree of disequilibria in regional real estate markets. Our findings are consistent with four distinct hypotheses: (a) tax evasion hypothesis, (b) widening gap hypothesis, (c) a corruption hypothesis and (d) a signaling hypothesis. The evidence suggests that higher rates of taxation and a larger statistical incidence of corruption in markets tend to be associated with a greater probability of under-invoicing. The findings of the study have practical implications for those investors who are interested in real estate markets of emerging and developing economies.


2021 ◽  
Vol 28 ◽  
pp. 81-92
Author(s):  
Fabiana Forte ◽  
Claudia De Biase ◽  
Pierfrancesco De Paola

In Italy, which has traditionally been a country of emigration since the unification of Italy, in the last thirty years there has been an intense increase in the flow of immigrants, resulting in economic, social and spatial problems. If the housing conditions represents one of the main indicators to measure the degree of social integration, in Italy a particularly weak segment in the housing demand is represented precisely by immigrants to whom the most degraded and inadequate sector of the housing stock is often destined. A phenomenon of particular note is represented by the settlement choices in the hinterland of large urban areas where there is a high percentage of foreign population (both official and unofficial). This is what happened in the Campania region, in the territory that starts from Caserta to get to Salerno, passing through the metropolitan city of Naples. In Italia, tradizionalmente paese d’emigrazione dall’unità in poi, negli ultimi trenta anni, si è assistito ad un intenso incremento del flusso di immigrati, con conseguenti impatti di carattere economico, sociale e spaziale. Se la condizione abitativa rappresenta uno dei principali indicatori per misurare il grado di integrazione sociale, un segmento particolarmente debole della domanda abitativa in Italia è rappresentato proprio dagli immigrati, cui spesso risulta destinato il settore più degradato e inadeguato del patrimonio abitativo. Un fenomeno di particolare rilievo è rappresentato dalle scelte insediative nell’hinterland delle grandi aree urbane, dove si registra un alta concentrazione di popolazione straniera (sia ufficiale che ufficiosa). Ed è quanto è successo in regione Campania, nell’area che parte da Caserta per arrivare a Salerno, passando per la città metropolitana di Napoli.


2017 ◽  
Vol 2 (5) ◽  
pp. 277
Author(s):  
Ahmad Fawwaz Saleh ◽  
Ting Kien Hwa ◽  
Rohayu Ab Majid ◽  
Muhammad Hilmi Mohamad@Masri

Housing industry is constantly faced with various phenomena of the real estate market. The gamble between elements of supply and demand in the housing industry segmentation is shaping the market situation. However, the expected balance between supply and demand is difficult to achieve, even in the long run. Therefore, this study aims to examine the key factors that contribute to the level of demand in a real estate market. Respondents representing buyers of area studies have questioned on their consideration of the factors that might influence their decision in-house purchasing. Three main components such as housing regulation, geographical spatial location, and housing product have been expanded with seven subcomponent and 37 elements. Data were collected through a preliminary survey from sample population at study area of Wangsa Maju, Kuala Lumpur, Malaysia, which experienced with housing mismatch phenomena. Data has been analysed by using SPSS software in generated the mean score for each of element. The results indicate that 18 of the 36 items reported average rating at values more than 3.0. This shows that three main components of the study indeed affect home buyers as well as lead to the level of housing demand in the housing market. Documentation of this aspect in urban areas will make local communities, government, and private institution appreciate and improvise better decision-making for residential development to decrease a gap. Thus, better enhancement in quality of life by the stakeholders will create a strong sense of community identity and belonging to the places.Keywords: Housing mismatch; Urban Areas; Dissimilarity; Quality of life© 2017. The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.


Author(s):  
Nguyen Thi Hoang Yen ◽  
Nguyen Thanh Hung ◽  
Le Doan Minh Duc ◽  
Vo Hoang Ngoc Thuy ◽  
Ngo Thi My Thuy

The real estate market is important in socio-economic life and is even more important for countries with open, transition, and developing economies like Vietnam. The price of real estate is an important factor in the market and is affected by many macroeconomic factors. Using quarterly data from the first quarter of 2005 to the fourth quarter of 2018, the authors construct realistic test pattern matching purposes, requires analysis and possibility of possible sources of data collected in Vietnam on the relationship between real estate price index and factors of economic growth, inflation, money supply and average long-term lending rate in the market. Experimental results demonstrate that these macroeconomic factors have a significant impact on real estate prices in Vietnam. From here, the article provides macroeconomic policy implications for the State of Vietnam in stabilizing real estate commodity prices in particular and developing the real estate market in general.


Risks ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 112
Author(s):  
Susanna Levantesi ◽  
Gabriella Piscopo

This paper follows the recent literature on real estate price prediction and proposes to take advantage of machine learning techniques to better explain which variables are more important in describing the real estate market evolution. We apply the random forest algorithm on London real estate data and analyze the local variables that influence the interaction between housing demand, supply and price. The variables choice is based on an urban point of view, where the main force driving the market is the interaction between local factors like population growth, net migration, new buildings and net supply.


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