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Spatial Dependence in House Prices: Evidence from China's Interurban Housing Market
Date:    2014-11
By:    Yunlong Gong
Peter Boelhouwer
Jan de Haan


¡°Spatial thinking¡± is increasingly popular in housing market studies and spatial dependence across properties has been widely investigated in the intra-city housing market. The contribution of this paper is to study the spatial dependence and spillover effect of house prices from an interurban perspective, referring to the spatial interaction across local housing markets. The extensive literature study concludes that following behavior, migration and equity transfer and spatial arbitrage of capital are the main behavioral reasons for interurban spatial interaction. Using a cross-sectional data set in eastern China, our empirical results from both parametric and nonparametric approaches provide strong evidence of spatial interaction in the interurban housing market. The parametric results suggest that the spatial lag model (SAR) is the best model specification to describe the interurban house price process, indicating an endogenous interaction pattern. Ignoring such interaction effect in the house price model will produce biased coefficients estimators and misleading interpretation. In SAR model, Spillover effects of explanatory variables caused by spatial interaction are calculated by partial derivative interpretation approach and are demonstrated to have the magnitude as much as half of their direct effects. Moreover, the comparison between different spatial weighted matrices reveals that the spatial interaction depends not only on distances, but also on the economic situation of each jurisdiction. Meanwhile, nonparametric approach draws a flexible relationship between spatial dependence and geographical distances. Using spline correlogram, we find monotonically declined spatial autocorrelation of house prices and explanatory variables within larger distances, whereas the significant spatial autocorrelation of OLS residuals can only be observed at short distance (60 Km). The spillover effect, being obtained from spatial covariance decomposition, is highly significant and declines within the radius of 250 Km. All the nonparametric results imply that though the house price determinants can satisfyingly account for the interurban house prices, the importance of spillover effect cannot be neglected within certain distances. That is the neighbor¡¯s housing market situation is quite useful in predicting the house price of a particular city. This study provides a good insight into explaining why the house prices in some cities always run above the level indicated by fundamentals, and highlights the importance of cooperation between local governments in making the housing policy.
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Industrial Agglomeration and Dispersion in China: Spatial reformation of the "workshop of the world"


With rising labor costs in China, some scholars assert that its labor-intensive industries will succumb to latecomer economies, and China's era as the "workshop of the world" will end. There is, however, little agreement regarding whether labor-intensive industries, now concentrated along the coast, are relocating to other regions. How does agglomeration affect this relocation? How does this relocation process affect the Asian Production Network (APN)? To approach these issues, this paper examines the determinants of industrial relocation in China by using province- and city-level data from 2004 to 2010, which some scholars call the "post-Lewisian turning point." We particularly focus on the significant gap in economic development in China, especially in regard to industrial agglomeration and dispersion. The results show that the capital-labor ratio is positively related to industrial growth in the coastal areas but negatively related in the central regions. Although agglomeration economies have been weak, the absolute scale of local industry includes a positive effect. In sum, both dispersion and agglomeration forces are observed, suggesting the existence of multi-force dynamics of spatial relocation in China.

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2015-1-21 02:19:54 上传

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Monetary Policy Effectiveness in China: Evidence from a FAVAR Model


We use a broad set of Chinese economic indicators and a dynamic factor model framework to estimate Chinese economic activity and inflation as latent variables. We incorporate these latent variables into a factor-augmented vector autoregression (FAVAR) to estimate the effects of Chinese monetary policy on the Chinese economy. A FAVAR approach is particularly well-suited to this analysis due to concerns about Chinese data quality, a lack of a long history for many series, and the rapid institutional and structural changes that China has undergone. We find that increases in bank reserve requirements reduce economic activity and inflation, consistent with previous studies. In contrast to much of the literature, however, we find that central-bank-determined changes in Chinese interest rates also have substantial impacts on economic activity and inflation, while other measures of changes in credit conditions, such as shocks to M2 or lending levels, do not once other policy variables are taken into account. Overall, our results indicate that the monetary policy transmission channels in China have moved closer to those of Western market economies.

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2015-1-21 02:21:42 上传

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Confucianism and Preferences: Evidence from Lab Experiments in Taiwan and China

This paper investigates how Confucianism affects individual decision making in Taiwan and in China. We found that Chinese subjects in our experiments became less accepting of Confucian values, such that they became significantly more risk loving, less loss averse, and more impatient after being primed with Confucianism, whereas Taiwanese subjects became significantly less present-based and were inclined to be more trustworthy after being primed by Confucianism. Combining the evidence from the incentivized laboratory experiments and subjective survey measures, we found evidence that Chinese subjects and Taiwanese subjects reacted differently to Confucianism.
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2015-1-21 02:26:24 上传

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Individuals, Teams and Hometowns in an Experimental Market in China
Several papers have documented that individual decision-making and team or group decision-making differ in a broad range of economic situations. We conducted a market experiment in China to examine potential differences between team and individual trades, and potential effects of subjects’ hometowns on their behaviors. Our results revealed that increasing group size from one-person to two-person strengthened the bargaining power of subjects from coastal areas but weakened that of subjects from inland areas when commodity exchanges were conducted between subjects from different areas.

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Trade Integration, Market Size and Industrialization: Evidence from China's National Trunk Highway System


Large scale transport infrastructure investments connect both large metropolitan centers of production as well as small peripheral regions. Are the resulting trade cost reductions a force for the diffusion of industrial and total economic activity to peripheral regions, or do they reinforce the concentration of production in space? This paper exploits China's National Trunk Highway System as a large scale natural experiment to contribute to our understanding of this question. The network was designed to connect provincial capitals and cities with an urban population above 500,000. As a side effect, a large number of small peripheral counties were connected to large metropolitan city regions. To address non-random route placements on the way between targeted city nodes, I propose an instrumental variable strategy based on the construction of least cost path spanning tree networks. The estimation results suggest that network connections led to a reduction in GDP growth among no n-targeted peripheral counties due to reduced industrial output growth. Additional estimation results present evidence that appears consistent with the existence of core-periphery effects of trade integration as found in increasing returns trade theory and economic geography
Keywords:    Trade integration, industrialization, road infrastructure

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Foreign Direct Investment across China: what should we learn from spatial dependences?


The paper investigates the importance of spatial dependences on Foreign Direct Investment (FDI) localization across Chinese provinces over the 1992-2009. Based on exploratory spatial data analysis, spatial sigma-convergence and spatial Durbin specifications, we present a much clearer picture of FDI dispersion and spatial convergence across China by highlighting the spillover effects of FDI localization in Chinese provinces and regions. Our results are threefold. First, FDI convergence is more pronounced compared to the Central region, whereas the dispersion is greater when the Coastal and the Western regions are taken as reference points. Second, at the province level, FDI localization seems to present a substitutable configuration. Third, when controlling for the spatial distribution of FDI at the level of regions, it seems, conversely, that the FDI localization presents a complementary configuration. The finding resulting from the opposing configurations of the FDI localizations observed at the region and province levels seems to argue in favor of promoting FDI attractiveness policies based on regional complementarities.
Keywords:    China, Convergence, FDI, spatial panel data, spatial Durbin model

2013.12.pdf (776.02 KB, 需要: 1 个论坛币)

2015-1-21 02:31:43 上传

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How are global value chains fragmented and extended in China's domestic production networks?


Global value chains are supported not only directly by domestic regions that export goods and services to the world market, but also indirectly by other domestic regions that provide parts, components, and intermediate services to final exporting regions. In order to better understand the nature of a countryâ

International Monetary Transmission to the Euro Area: Evidence from the US, Japan and China



There are marked differences in the effect of increases in monetary aggregates in China, Japan and the U.S. on Euro area economic and financial variables over 1999-2012. Increases in monetary aggregates in China are associated with significant increases in the world price of commodities and with increases in Euro area inflation, industrial production and exports. Results are consistent with shocks to China’s M2 facilitating domestic growth with expansionary consequences for the Euro area economy. In contrast, increases in monetary aggregates in Japan are associated with significant appreciation of the Euro and decreases in Euro area industrial production and exports. Production of goods highly competitive with European goods in Japan and expenditure switching in Japan are consistent with the results. U.S. monetary expansion has relatively small effects on the Euro area over this period compared to results reported in the literature for earlier sample periods.

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Migration, urban population growth and regional disparity in China


The main objective of this paper is to study the determinants of city population growth in China during the 1990s', as well as the determinants of migrations towards cities, which constitutes the main source of urban population growth in this period. A second objective is to identify regional differences in the urban growth and migrations, that is, whether urban growth and migration patterns are different between coastal and inland provinces. Additionally, we are interested in the differences between temporary and permanent migrations towards urban areas.
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