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ID:
159041
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| Summary/Abstract |
This paper examines how political considerations affect local officials' revenue maximization behaviors in the context of urban land conveyance in China. Particularly, we analyze government intervention based on local officials' choice of two land auction types, namely, “English auction” and “two-stage auction”. The latter presumably serves as a tool of government intervention. We aim to address the research question: “Are local governments maximizing land revenue?” The major findings are threefold. First, for cities with higher housing prices, two-stage auctions are adopted more frequently than English auctions. In addition, land parcels in these “hot” cities adopt two-stage auctions more frequently during sensitive political events, suggesting that local officials respond positively to the real estate regulation policy from central government. Second, when city leaders are more incentivized to promote economic performance, they respond less positively to rises in housing prices. Third, such interventionist behavior results in a significantly depressed land price and housing price. Despite its intention of improving public welfare, this interventionism can susceptibly cause problems of misallocation and corruption.
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| 2 |
ID:
163506
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| Summary/Abstract |
This paper provides an empirical analysis of changes in real housing prices in China using quarterly province-level data from 2001 to 2014. It examines the extent to which real housing price at the provincial level are driven by economic fundamentals, such as real per capita disposable income, real interest rate, and size of urban population. The econometric modeling takes explicit account of provincial heterogeneity, nonstationarity of variables, and cross-sectional dependence across provinces by virtue of the Common Correlated Effects model. We find that fundamentals play a less significant role in explaining the house prices in China. Inconsistent with economic theories, the most important fundamental, real income, cannot completely justify the housing price inflation. Therefore, there may be a housing price bubble in the market.
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| 3 |
ID:
187837
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| Summary/Abstract |
By raising road transportation costs, an increase in gasoline prices should be expected to reduce housing demand in locations further from the central business district (CBD) relative to inner-city locations. This study uses a monthly real estate area dataset for 19 large cities in China over 2010–2018 to investigate the impact of gasoline prices on intra-city spatial differentials in housing prices. The findings suggest that higher gasoline prices on average lead to a relative decline in housing prices in outer suburbs, with a 1% increase in gasoline prices on average leading to a 0.004% relative reduction in home values for every additional kilometer from the CBD. The effect is larger in cities that have higher automobile ownership rates and that are less densely populated. The results are consistent with a conclusion that the rise of electric vehicles, autonomous vehicles, and working from home is likely to contribute to a lowering of geographical price differentials within Chinese cities over time.
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| 4 |
ID:
159084
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| Summary/Abstract |
This paper analyzes the substitution and trade-off effects of homeownership and housing price on social security expenditure. We construct a theoretical model to investigate the optimal choice for individual and government in social security system with estate transaction. The model predicts that the government is more likely to decrease (increase) social security spending under a higher home rate when house price rises (falls). We test 35 metropolises panel data which spans the year of 1998–2012 under a two-way fixed effects framework. Our empirical analysis supports the theoretical prediction. The estimation results show that at the current home rate 82%, 1% increase in housing price will lead to 1.15 Yuan reduction in social security spending per capita.
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| 5 |
ID:
125780
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| Publication |
2013.
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| Summary/Abstract |
This paper analyzes the non-energy determinants of transport-related fuel consumption and in particular investigates the role of housing price trajectories in driving long-run demand for motor fuel. To this aim it develops a dynamic modeling framework and takes the next step of testing it for cointegration. French data spanning fifty years up to 2009 are employed. It is found that when facing an increase of dwellings' real price, fuel demand remains stable in the short term whereas it increases significantly in the long term. Our results reflect the role of spatial organization in the formation of energy demand through the trade-off between housing prices and commuting costs. The modeling framework is then extended to assess the potential interest of combining housing policies aiming to drive down housing prices with carbon taxes so as to achieve a wide range of fuel demand reduction targets. It is shown that the relative contribution of housing policies increases with the degree of ambition of fuel consumption reduction targets.
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| 6 |
ID:
082643
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