An Application of Post-DEA Bootstrap Regression Analysis to the Spillover of the Technology of Foreign-Invested Enterprises in China
It is now widely believed that Foreign Direct Investment (FDI) affects positively the productivity of individual enterprises in the host economy and this is a main argument in favour of FDI. Although China is the largest recipient of FDI after the USA, there has been little empirical research as to whether such productivity effects of FDI are present in China. In this paper we attempt to answer some of these questions using a data set constructed from the Third Industrial Census of China conducted in 1995. We employ a Data Envelopment Analysis (DEA) to estimate individual enterprise level relative productivity scores from an industry level nonparameteric production technology. These individual results are then related to the level of FDI via a Bootstrap regression which is used to insure consistent estimates of the variance covariance matrix of the regression estimates. The results are decomposed by size of enterprise and industry and provide an insight to the manner in which such spillover effects may be operating in the Chinese Economy.
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- Mei Xue & Patrick T. Harker, 1999. "Overcoming the Inherent Dependency of DEA Efficiency Scores: A Bootstrap Approach," Center for Financial Institutions Working Papers 99-17, Wharton School Center for Financial Institutions, University of Pennsylvania.
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