An Application of Post-DEA Bootstrap Regression Analysis to the Spillover of the Technology of Foreign-Invested Enterprises in China
AbstractIt 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by The University of Melbourne in its series Department of Economics - Working Papers Series with number 732.
Length: 29 pages
Date of creation: 2000
Date of revision:
Contact details of provider:
Postal: Department of Economics, The University of Melbourne, 5th Floor, Economics and Commerce Building, Victoria, 3010, Australia
Phone: +61 3 8344 5289
Fax: +61 3 8344 6899
Web page: http://www.economics.unimelb.edu.au
More information through EDIRC
REGRESSION ANALYSIS ; INVESTMENTS ; TECHNOLOGY;
Find related papers by JEL classification:
- O32 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Management of Technological Innovation and R&D
- O33 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
- E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Capital; Investment; Capacity
- F21 - International Economics - - International Factor Movements and International Business - - - International Investment; Long-Term Capital Movements
- C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
- C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Gene M. Grossman & Elhanan Helpman, 1994.
"Technology and Trade,"
NBER Working Papers
4926, National Bureau of Economic Research, Inc.
- Kamal Saggi, 2002.
"Trade, Foreign Direct Investment, and International Technology Transfer: A Survey,"
World Bank Research Observer,
World Bank Group, vol. 17(2), pages 191-235, September.
- Saggi, Kamal, 2000. "Trade, foreign direct investment, and international technology transfer : a survey," Policy Research Working Paper Series 2349, The World Bank.
- 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.
- Findlay, Ronald, 1978. "Relative Backwardness, Direct Foreign Investment, and the Transfer of Technology: A Simple Dynamic Model," The Quarterly Journal of Economics, MIT Press, vol. 92(1), pages 1-16, February.
- Ferrier, G.D. & Hirschberg, J.G., 1998. "Can We Bootstrap DEA Scores?," Department of Economics - Working Papers Series 627, The University of Melbourne.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Marisa Cerantola).
If references are entirely missing, you can add them using this form.