This paper investigates convergence patterns among China's provinces using GDP data for the period 1952-97. We use the Markov chains proposed by Quah (1993) and the generalized entropy decomposition approach proposed by Shorrocks (1980, 1984) to analyse the convergence behaviour. Both sets of results show similar evidence of convergence within the predefined geo-economic sub-regions, but no evidence of convergence between the sub-regions. The finding has important policy implications on regional economic development in China.

This article uses both cross-section and panel data approaches to staay regional growth in China Inter-regional income inequality increased (O divergence), the rich regions became richer but poor regionspoorer (βdivergence), over the data period 1978-95 This contradicts resultsfrom 0ther cross-region country studies shownby Sala-i-Martin [1996] and some earlier studies on China Only after controlling for regional effects, population growth, and investment in both physical and human capital do the data show significant β-convergence More interestingb, the degree of openness and transportation are two other important factors responsiblefor differences in regional growth. This finding has important implications for regional development policy.

This paper presents a comprehensive picture of China's regional inequality from 1952 to 1999 using newly released data on consumption and gross domestic product (GDP) at the provincial level. Although there are many studies on regional inequality in China, this paper is the first attempt to evaluate regional inequalities before and after the economic reforms for a time span of almost half a century. Our results show that inter-regional inequality widens over time, either measured by per capita GDP or consumption expenditures, and either in the pre-reform or the post-reform period. The results also show that the choice of GDP or consumption as an indicator of economic welfare matters in regional inequality analysis. Per capita GDP is more unequally distributed than per capita consumption.

A production model is proposed to explain why economic growth may lead to regional inequality and club divergence. Economic growth starts from a few centres and spills over to other regions. The spillovere ect diminishes as distance rises, causing club formation with a clear geographical pattern.

This paper studies the spatial differences of grain production efficiencies in China using a panel data set on 30 provinces (cities) for the period 1987-92. A stochastic frontier production function is estimated to derive the technical efficiencies across the regions. The results suggest that technical inefficiencies are significant with remarkable provincial and zonal differentials. The marginal productivities of factors and their convergence (divergence) over time, the decomposition of total factor productivity, and the effects of major determinants on technical inefficiencies are also studied in detail.