Land supply and housing prices : empirical studies of Hong Kong and Guangzhou

2012 ◽  
Author(s):  
Qiongqiong Zheng
Keyword(s):  
Hong Kong ◽  
Empirical Studies ◽  
Housing Prices ◽  
Land Supply

Political Uncertainty and Asset Valuation: Housing Prices in Hong Kong

2020 ◽  
Author(s):  
Zhiguo He ◽  
Maggie Hu ◽  
Zhenping Wang ◽  
Vincent Yao
Keyword(s):  
Hong Kong ◽  
Housing Prices ◽  
Asset Valuation ◽  
Political Uncertainty

scholarly journals Share Contract Revisited: A New Transaction Cost Approach

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jian Ding ◽  
Yixiao Zhou
Keyword(s):  
Hong Kong ◽  
Transaction Cost ◽  
Empirical Studies ◽  
Theoretical Explanation ◽  
Empirical Testing ◽  
Cost Approach ◽  
Satisfactory Answer ◽  
The Impact

Abstract The purpose of this paper is to explore how sharecropping contracts are chosen over fixed-rent contracts. There are two concerning issues. First, theoretical explanation has been criticized for not providing a satisfactory answer to the question as to why share contracts are chosen. Second, among the existing empirical studies, there are great controversies about the impact of variance of output. Inspired by the latest insights from (Cheung, S. N. S. 2014. Economic Explanation. Hong Kong: Arcadia Press.), this paper not only provides an explanation for the choice of share contract that is suitable for empirical testing, but also solves the puzzle over variance of output.

scholarly journals Building a House Prices Forecasting Model in Hong Kong

2012 ◽  
Vol 2 (2) ◽  
pp. 57-70
Author(s):  
Xin Janet ◽  
Ka-Chi Lam
Keyword(s):  
Regression Analysis ◽  
Hong Kong ◽  
Household Income ◽  
House Prices ◽  
Alternative Methods ◽  
Forecasting Model ◽  
Land Supply ◽  
Related Data ◽  
Political Events ◽  
Macroeconomic Indicators

This paper builds a house prices forecasting model for private residential houses in HongKong, based on general macroeconomic indicators, housing related data and demographicfactors for the period of 1980 to 2001. A reduce form economic model has been derivedfrom a multiple regression analysis where three sets and eight models were derived foranalysis and comparison. It is found that household income, land supply, population andmovements in the Hang Seng Index play an important role in explaining house pricemovements in Hong Kong. In addition, political events, as identified, cannot be ignored.However, the results of the models are unstable. It is suggested that the OLS may nota best method for house prices model in Hong Kong situation. Alternative methods aresuggested.

Dynamic effects and spatial heterogeneity of land supply on housing price: evidence from Nanchang, China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhijiang Wu ◽  
Yongxiang Wang ◽  
Wei Liu
Keyword(s):  
Spatial Heterogeneity ◽  
House Prices ◽  
Housing Prices ◽  
Housing Price ◽  
Dynamic Effects ◽  
Negative Effects ◽  
Land Supply ◽  
Content Type ◽  
Major Factors ◽  
The City

Purpose Economic fundamentals are recognized as determining factors for housing on the city level, but the relationship between housing price and land supply has been disputed. This study aims to examine what kind of impact housing prices have on land supply and whether there is heterogeneity in different regional spaces. Design/methodology/approach This study collects the relevant data of land supply and housing prices in Nanchang from 2010 to 2018, constructs a vector autoregression (VAR) model, including one external factor and four internal factors of land supply to explore the dynamic effects and spatial heterogeneity of land supply on housing prices through regression analysis. Also, the authors use the geographic detector to analyze the spatial heterogeneity of housing prices in Nanchang. Findings This study found that the interaction between land supply and housing price is extremely complex because of the significant differences in the study area; the variables of land supply have both positive and negative effects on housing price, and the actual effect varies with the region; and residential land and GDP are the two major factors leading to the spatial heterogeneity in housing price. Research limitations/implications The dynamic effects of land supply on housing price are mainly reflected in the center and edge of the city, the new development area, and the old town, which is consistent with the spatial pattern of the double core, three circles and five groups in Nanchang. Originality/value This is a novel work to analyze the dynamic effects of land supply on house prices, instead of a single amount of land supply or land prices. Furthermore, the authors also explore the spatial heterogeneity according to the regional characteristics, which is conducive to targeted policymaking.

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