This paper uses Bi-Directional Reiterative Truncated Projected Least Squares (BD-RTPLS) to estimate annual ∂GPP/∂G and %∂GPP/%∂G multipliers for China’s 31 provinces between 1996 and 2006 (GPP = Gross Provincial Product and G = government spending in the province). In order to account for the influence of omitted variables, BD-RTPLS produces a separate ∂GPP/∂G and %∂GPP/%∂G estimate for every observation in the data set. I find that ∂GPP/∂G and %∂GPP/%∂G were highest in 1996 while China was drastically cutting government spending to curb inflation, were lowest in 1997 during the Asian Financial Crisis, slowly rose between 1998 and 2004, and then declined some in 2005 and 2006 when the Chinese yuan was slowly appreciating.

Many theory and empirical literature conclude that house price can reflect economic fundamentals in the long-term. However, by using China’s panel data of 35 main cities stretching from 1998 to 2007, we find that there is no stable relationship between house price and economic fundamentals. House price has deviated upward from the economic fundamentals since government started macro-control of the real estate market. We consider that the mechanism between the house price and economic fundamentals is distorted by China’s real estate policy, especially its land policy. Meanwhile the policy itself is an important factor in explaining the changes of China’s house price. Then we estimate the dynamic panel data model on house price and the variables which are controlled by real estate policy. The result shows: land supply has negative effects on house price; financial mortgages for real estate have positive effects on house price; and the area of housing sold and the area of vacant housing, which reflects the supply and demand of the housing market, has negative effects on house price. We also find some differences in house price influence factor between eastern and mid-western cities. Finally, we propose policy suggestions according to the empirical results.

To study the house price dynamics in China, this paper extends the traditional life-cycle model by incorporating land supply, regime shifts and government regulation factors. The models are estimated with an error correction framework using quarterly data from 2000 to 2007 in Beijing. The conclusions are as follows. (1) There exits a stable co-integration relationship between house price and fundamentals; land supply and financial regimes are also important determinants of long-run equilibrium house prices. (2) Short-run dynamics depend on changes of fundamentals and the adjustment process of housing market. Land supply has a significant impact on house price fluctuations while demand factors such as user costs, income and residential mortgage loan have greater influences. The adjustment speed of real house prices to the long-run equilibrium has been reduced significantly since 2005 which means exogenous shocks can cause prolonged deviation of real house prices from the equilibrium level.

The strenuous fluctuation in global asset price in recent years has had a profound impact on the economic and social development of every country. An empirical analysis indicates that asset prices (the stock price index and real estate prices) are important endogenous variables affecting the interest rate reaction function of central bank monetary policy. With expected inflation as a given, each one percentage point rise in output gap will cause a 0.79 percentage point reduction in interest rates by the central bank and each one percentage point rise in real estate price will result in a 2.2 percentage point rise in interest rates. The stock price index does have an influence on the trends in monetary policy, but it is less salient than the impact of housing prices. We also show that monetary policy that employs asset price as an endogenous variable increases the central bank’s control in seeking to attain its objectives. Therefore we suggest that the central bank should make asset price fluctuation an endogenous variable and incorporate it into its forward-looking interest rate rule, in order to facilitate the healthy development of China’s markets for real estate, stocks and derivatives, energy and bulk commodities and maintain rapid, smooth, sustainable and harmonious economic development.

As Chinese economy system has been depended more on the import of petroleum with the development of China, the change in the price of international oil have caused concern among economists and policy makers. This paper is to present a financial Computable General Equilibrium (CGE) model of the Chinese economy which integrates real economy and financial sectors, and to apply it to quantitatively evaluate the impacts on Chinese economy caused by international oil price changes. And the model endogenously determines the exchange rate, covering fixed, partially flexible, and completely flexile exchange rate system to consider the effect of foreign oil price changes from the point of view of macro and industrial aspects. Finally, this paper presents concluding remarks.

Using a 1995–2004 panel data of Chinese urban residents, we investigate the dynamics of income distribution in cities. According to Kernel estimates of the relative income distribution of Chinese cities, we find that: (1) the national across-city distribution of per capita GDP exhibits an apparent unique-peak distribution in 1995 and an “emerging multiple-peak” one in 2004; (2) for prefecture-level cities, income distribution has evolved to an “apparent multiple-peak” distribution from a unique-peak one; (3) the income distribution of county-level cities maintains a unique-peak curve; (4) most of the income dynamics of urban residents originates from prefecture-and-higher-level cities. We sample three representative provinces and study the urban income dynamics respectively. The analysis suggests that within a single province, urban income distribution evolves from unique-peak to twin-peak curve; while among provinces, income convergence is evident for urban residents. In addition, we measure the incidence of poverty in cities based on our income dynamics analysis, and find that the ratios of people living below absolute poverty line have been decreasing at cities of all levels.

This paper examines the economic and noneconomic determinants of growth disparity among Chinese villages between 1990 and 2002. By estimating a growth equation, first, we confirm a significant positive effect of the initial level of human capital, as well as the initial condition of physical infrastructure. Second, social capital measured by the degree of stable social relations at the village level is also a significant growth-promoting factor. The policy implications of our findings are that public policy promoting social stability in rural areas should be strengthened, as well as increasing financial support for rural education and infrastructure construction, especially in lower income regions.

Both from history and logic, the rural reform is the starting point for China’s overall economic reform. The gradualism, inherent logical evolution and interest conflict of reform in China all have their origins in rural reform. The thirty-year’s rural reform can be viewed as the adjustment of urban-rural relations by different period. This study adopts the analytical framework of institutional economics to clearly demonstrate the whole logic process of institutional transition, then from the international comparative perspective, generalizes some basic experiences in China’s rural reform and the lessons for developing and transitional countries. On the basis of judging different stages of economic development, this paper also sums up the new challenges faced by rural reform and discusses its prospects for the next reform.