scholarly journals The relationship between residential development land prices and house prices

2020 ◽  
Vol ahead-of-print (0) ◽  
pp. 1-21
Author(s):  
Michael Ball ◽  
Edward Shepherd ◽  
Pete Wyatt
Keyword(s):  
House Prices ◽  
Residential Development ◽  
Land Markets ◽  
Land Price ◽  
Professional Literature ◽  
Residential Land ◽  
Land Prices ◽  
Price Increases ◽  
The Relationship ◽  
Apparent Disagreement

There exists apparent disagreement between two areas of literature regarding the relationship between house prices and land prices. In the professional literature it is argued that high house prices cause high residential development land prices. In some of the policy literature it is argued that it is land-price increases that are behind increasing house prices. We argue that this is a rather artificial dichotomy and arises from two different ways of thinking about the relationship between land and house prices. To demonstrate this we explore how housing and residential land markets work and how their price responses are interrelated.

scholarly journals Análise dos Fatores que Influenciaram na Modernização e na Expansão da Agropecuária no Estado de Goiás

2012 ◽  
Vol 1 (1) ◽  
Author(s):  
Luiz Batista Alves
Keyword(s):  
Key Words ◽  
Agricultural Land ◽  
Border Region ◽  
Structure Modification ◽  
Land Price ◽  
Land Prices ◽  
Technology Standard ◽  
Technological Standard ◽  
Standard Structure ◽  
The Relationship

A proposta básica deste trabalho é tentar compreender como se dá a expansão de fronteiras no estado de Goiás verificando as relações entre o preço da terra e as variáveis de padrão tecnológico - terras irrigadas, número de tratores, investimentos, dentre outras. Realizou-se uma análise das correlações entre as variáveis preço da terra de pastagem e agrícola e as variáveis que compõem o nível de padrão tecnológico, chegando-se à conclusão de que a variação nos preços da terra não está associada à modificação da estrutura do nível de padrão tecnológico em função do baixo coeficiente de correlação encontrado. Isso pode ter ocorrido, talvez, por uma forte especulação de terras no território, pois a antiga região de fronteira foi se tornando saturada impedindo novas ocupações ou assentamentos. Palavras-chaves: Frente de expansão, frente pioneira, renda diferencial, padrão tecnológico, coeficiente de correlação.Abstract: The main purpose of this paper is to try to understand as how occurs the borders expansion in the state of Goiás showing the relationship between land price and the variables of technological standard, as irrigated lands, tractors number and investments among others. It has been done an analysis of correlations among variables as cattle and agricultural land price and composing variables of the level of technological standard, structure modification of technology standard, as function of low coefficient of found correlation. It could occurred, maybe, by a strong speculation of land prices in this area, as the ancient border region was been saturated obstructing new occupations and settlements. Key Words: Expansion front, pioneer front, differential income, technological standard, correlation coefficient.

Does Immigration Depreciate Residential Land Prices? Case of Tokyo

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Akinori Tomohara
Keyword(s):  
Total Population ◽  
Land Price ◽  
Residential Land ◽  
Negative Image ◽  
Land Prices ◽  
Land Owners ◽  
Positive Effect

Abstract This study investigates the effects of immigration on residential land prices in urban Tokyo. A rapid increase in immigrants in Tokyo raises the concern that immigration may depreciate land prices because of the negative image emerging from the perception that some immigrants might create disharmony in society. However, our analysis denies this possibility; for every 1% increase in immigrant ratio (i.e., the proportion of immigrants in the total population), the residential land prices increase by 12%. Although the literature explains that a negative immigration effect occurs when the analysis uses small geographic units, the results suggest that even a positive effect can occur under small geographic units. The implications of the current results are complicated. While the concern of immigration-induced land price depreciation is unfounded, this raises another concern—that of asset inequality between land owners and tenants.

scholarly journals Spatial Analysis to Identify Factors Affecting Residential Land Prices in Disaster Areas

2019 ◽  
Vol 2 ◽  
pp. 1-4
Author(s):  
Keiko Inagaki ◽  
Satoru Sadohara
Keyword(s):  
Spatial Analysis ◽  
Hazard Map ◽  
Land Price ◽  
Human Settlements ◽  
Residential Land ◽  
Tsunami Inundation ◽  
Factors Affecting ◽  
Price Fluctuations ◽  
Land Prices ◽  
Miyagi Prefecture

<p><strong>Abstract.</strong> On March 11, 2011, a catastrophic earthquake struck Japan’s Tohoku area, which faces the Pacific Ocean. In this study, a multivariate spatial analysis was conducted to analyse the factors affecting residential land prices in the disaster-stricken area using the Hedonic Price Method. For the analysis, we first, collected spatial data, including land price maps, tsunami damage area map, flood hazard map, landslide hazard map, railway map, zoning map, and public building map of Miyagi prefecture. Second, we examined the extent to which the damage caused by the tsunami inundation can influence land prices, in order to clarify the relationship between natural disasters and land price fluctuations. The results of the multivariate analysis concluded that the tsunami inundation affected the price of land, particularly after the Great East Japan Earthquake (2011) in Miyagi prefecture. Furthermore, the degree of the tsunami inundation and the distance from public housing constructed after the disaster influenced land price fluctuations after the earthquake. In other words, the human settlements have been affected by disaster damage and reconstruction plan. Present studies have demonstrated the residents’ attitudes towards housing location choices before and after the earthquake disaster. By improving the precision of the multiple regression analysis in the future, we will be able to utilize the experiences of previous disasters as lessons learnt for safety and sustainability, particularly Sustainable Development Goal 11: Make cities and human settlements inclusive, safe, resilient and sustainable.</p>

Land-Use Planning, Land Supply, and House Prices

1996 ◽  
Vol 28 (3) ◽  
pp. 495-511 ◽  
Author(s):  
S Monk ◽  
B J Pearce ◽  
C M E Whitehead
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
House Prices ◽  
Planning System ◽  
Social Benefits ◽  
Land Supply ◽  
Follow Up Study ◽  
Price Increases ◽  
The Relationship

There are clearly significant social benefits to land-use planning, but there may also be significant private and social costs which need to be taken into account. In this paper we explore the relationship between land-use planning, the supply of housing land, and the supply and price of housing. It is based on two pieces of empirical research. In the first study, an investigation was conducted of the extent to which land supply, and particularly the operation of the planning system, had affected house prices in Britain during the 1980s, and how far planning had placed a constraint on land supply or simply reorganised that supply. In the follow-up study a single planning area was looked at to examine the extent to which increased land allocations in one area can compensate for constraints on land supply in another. We conclude that the planning system imposes significant costs, which include the exacerbation of price increases in periods of economic growth, but without being able to generate higher housing output during recession. In addition the planning system tends to foster a narrower range of housing types and densities than would be expected in its absence, and so restricts the choice available to consumers.

scholarly journals Inter-metropolitan land price characteristics and pattern in the Beijing-Tianjin-Hebei urban agglomeration, China

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0256710
Author(s):  
Pengfei An ◽  
Can Li ◽  
Yajing Duan ◽  
Jingfeng Ge ◽  
Xiaomiao Feng
Keyword(s):  
Local Governments ◽  
Spatial Data Analysis ◽  
Spatial And Temporal Variation ◽  
Land Market ◽  
Land Price ◽  
Land Supply ◽  
Residential Land ◽  
Land Prices ◽  
Land Transaction ◽  
Market Factors

Land prices are the key problem of urban land management, with prices of residential land being the most sensitive and the strongest social reflection among the different land types. Exploring spatial and temporal variation of residential land prices and the effect of land market factors on residential land prices can help the government formulate targeted regulations and policies. This study analyzes the spatial and temporal evolution of residential land prices and the factors influencing the land market in the Beijing-Tianjin-Hebei region based on land transaction data from 2014–2017 using exploratory spatial data analysis (ESDA) and a geographically weighted regression (GWR) model. The results show the following: ① Residential land prices in Beijing and Tianjin are significantly higher than those in other regions, while Zhangjiakou, Chengde, and western mountainous areas have the lowest residential land prices. Over time, a development trend of residential land price polycentricity gradually emerged, and the locational correlation has gradually increased. ② Under the influence of the land finance model of local governments in China, three factors, namely, the land stock utilization rate, revenue from residential land transfers, and the growth of residential land transaction areas, have significantly contributed to the increase in residential land prices. ③ Under the land market supply and demand mechanism and government management, four indicators, namely, the land supply rate, the per capita residential land supply area, the degree of marketization of the residential land supply, and the frequency of residential land transactions, have suppressed the rise in residential land prices. ④ The overall effect of land market factors on residential land prices in the central and northern regions of Beijing, Tianjin and Hebei is stronger than that in the southern regions, which may be related to the more active land market and stricter macromanagement policies in Beijing, Tianjin and surrounding areas.

scholarly journals RIPPLE EFFECT IN REGIONAL HOUSING AND LAND MARKETS IN IRAN: IMPLICATIONS FOR PORTFOLIO DIVERSIFICATION

2017 ◽  
Vol 21 (4) ◽  
pp. 331-345 ◽  
Author(s):  
Hassan F. GHOLIPOUR ◽  
Hooi Hooi LEAN
Keyword(s):  
Real Estate ◽  
Structural Breaks ◽  
House Prices ◽  
Annual Data ◽  
Ripple Effect ◽  
Residential Land ◽  
The Real Estate ◽  
Land Prices ◽  
Real Estate Sector ◽  
Diversification Benefit

In recent years, real estate has become a very popular investment choice for Iranian investors due to several interrelated economic and political reasons. The purpose of this study is to find out how real estate investors can gain diversification benefits from investing within the real estate sector across provinces of Iran. We use semi-annual data from selected provinces of Iran over the period of 1993–2014 and apply univariate Lagrange multiplier unit root tests with one and two structural breaks to the ratio of the provincial to national house and residential land prices respectively. We find diversification benefit can be gained by investing in housing markets across provinces because house prices in half of the sample provinces tend to drift away from house prices in the rest of the country. In addition, our results show that it is difficult to create an adequately diversified portfolio in a residential land market because shocks to the residential land prices of provinces ripple out across the nation. These findings should be valuable to domestic and foreign investors who are interested in the Iranian real estate sector, especially after the lifting of several international economic sanctions.

PENGARUH PRODUK DOMESTIK BRUTO, INFLASI DAN RASIO GINI TERHADAP PENGANGGURAN TERBUKA DI PROVINSI DKI JAKARTA

2018 ◽  
Vol 14 (2) ◽  
Author(s):  
Sri Mahendra Putra Wirawan
Keyword(s):  
Economic Growth ◽  
Significant Influence ◽  
Economic Conditions ◽  
Research Model ◽  
Economic Region ◽  
Regression Methods ◽  
Price Increases ◽  
Comprehensive Picture ◽  
Development Goals ◽  
The Relationship

Gross Regional Domestic Product (GRDP) which provides a comprehensive picture of the economic conditions of a region is indicator for analyzing economic region development. Another indicator that is no less important is inflation as an indicator to see the level of changes in price increases due to an increase in the money supply that causes rising prices. The success of development must also look at the income inequality of its population which is illustrated by this ratio. One of the main regional development goals is to improve the welfare of its people, where to see the level of community welfare, among others, can be seen from the level of unemployment in an area. To that end, in order to get an overview of the effects of GRDP, inflation and the ratio of gini to unemployment in DKI Jakarta for the last ten years (2007-2016), an analysis was carried out using multiple linear regression methods. As a result, together the relationship between GRDP, inflation and the Gini ratio is categorized as "very strong" with a score of 0.936, and has a significant influence on unemployment. Partially, the GRDP gives a significant influence, but inflation and gini ratio do not have a significant influence. GDP, inflation and the Gini ratio together for the last ten years have contributed 81.4% to unemployment in DKI Jakarta, while the remaining 18.6% is influenced by other variables not included in this research model, so for reduce unemployment in DKI Jakarta, programs that are oriented to economic growth, suppressing inflation and decreasing this ratio need to be carried out simultaneously. Keywords: GRDP, inflation, unemployment, DKI Jakarta, GINI ratio  

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