An Application of Post-DEA Bootstrap Regression Analysis to the Spillover of the Technology of Foreign-Invested Enterprises in China

Joseph Hirschberg and P.J. Lloyd

No 732, Department of Economics - Working Papers Series from The University of Melbourne

Abstract: 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.

Keywords: REGRESSION ANALYSIS; INVESTMENTS; TECHNOLOGY (search for similar items in EconPapers)
JEL-codes: C20 C30 E22 F21 O32 O33 (search for similar items in EconPapers)
Pages: 29 pages
Date: 2000
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