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Regional Assessment of Openness and Productivity Spillovers in China from 1979 to 2006: A Space-Time Model

Abstract

This study investigates the impact of inward foreign direct investment (FDI) flows and international trade on labour productivity in 30 Chinese provinces over the period 1979-2006. Since China launched the “open door” policy in 1978, the country has been attracting a growing share of FDI flows and its international trade has been expanding considerably. China’s accession into the WTO in 2001 has also started a new era in its integration into the world economy. In this paper, we model labour productivity as dependent on FDI, foreign trade and other traditional variables such as capital intensity, infrastructure and human capital development. Our empirical analysis improves the existing wide literature by taking into account spatial effects and potential econometric issues they imply. Using recently developed spatial data analysis tools, we explore the pattern, (weather it be negative or positive) and the extent of spatial interaction of labour productivity between regions. Thereby, we extend previous research by testing the explanatory power of additional variables such as spatially lagged independent and dependent variables. The explicit consideration of spatial dependence in the modelling scheme provides us a better understanding of the regional spillovers process. Our results indicate a general trend of spatial autocorrelation in labour productivity during the study period. Put differently, in China, the productivity of a given region is highly determined by those of surrounding regions. In addition, our empirical outcomes yield support for positive and significant impacts of FDI and foreign trade on labour productivity. Furthermore, in China, FDI and trade exhibit a positive spatial pattern and give rise to interregional productivity spillovers among provinces. These findings are robust to a number of alternative spatial weighting matrix specifications.

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Last time updated on 06/07/2012

This paper was published in Research Papers in Economics.

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