FDI and Employment by Industry: A Co-Integration Study
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Abstract
The relationship between high levels of FDI and of employment has been of enduring interest in the development literature, particularly in the context of economy as China which has enjoyed exceptional inflows of foreign capital as well as huge amount of working population. Aiming at exploring the specific relations between FDI and employment of three strata industries in china, EG cointegration method and Granger causality test is applied to identify the long-run relations and short-run linkages between FDI and employment in each of the industry via distributed lag model; moreover, first-order and second-order ECMs are created to assess the short-term deviation. Findings indicate that, in secondary and tertiary industry, growth of FDI in the long run would promote employment, and it is especially true for tertiary industry, where bidirectional linkage between FDI and employment exists; in the short term FDI has limited and even negative impetus on employment, with the latter indirectly increasing the former.
- UNCTAD, “Foreign Direct Investment and the Challenge of Development,” World Investment Report, UN, New York, 2005.
- Y. P. Niu, “FDI and Quantities of Employment in China,” Economics Perspectives, Vol. 4, No. 11, 2001, pp. 29-32.
- S. Sumon and S. Klaus, “Determinants of Employment Growth at MNEs,” Working Paper, William Davidson Institute, Ann Arbor, 2004.
- J. L. Ford, S. Sen and H. X. Wei, “FDI and Economic Development in China 1970-2006: A Co-integration Stu- dy,” Discussion Paper, University of Birmingham, Bir- mingham, 2010.
- F. Cai and D. W. Wang, “FDI and Employment—a Human Capital Framework,” Collected Essays on Finance and Economics, Vol. 1, No. 1, 2004, pp. 1-14.
- E. Z. Zhang and Z. C. Ren, “FDI and the Evolution of China’s Employment Structure”, Economics Theory and Management, Vol. 2, No. 52005, pp. 1-7.
- T. L. Zhao, “Comparison between Industrial Classification in Chinese National Accounts and International Standard Industrial Classification for All Economic Activities (ISIC),” 8th OECD—NBS Workshop on National Accounts, Paris, 6-10 December 2004.
- R. F. Engle and C. W. J. Granger, “Co-Integration and Error Correction: Representation, Estimation and Testing,” Econometrica, Vol. 55, No. 2, 1987, pp. 251-276. doi:10.2307/1913236
- D. A. Dickey and W. A. Fuller, “Distributions of the Estimators for Autore-Gressive Time Series with a Unit Root,” Journal of American Statistical Association, Vol. 74, No. 366, 1979, pp. 427-431. doi:10.2307/2286348
- D. A. Dickey and W. A. Fuller, “Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root,” Econometrica, Vol. 49, No. 4, 1981, pp. 1057-1072. doi:10.2307/1912517
- R. Davidson and J. G. MacKinnon, “Artificial Regres- sions and C ([alpha]) Tests,” Economics Letters, Vol. 35, No. 2, 1991, pp. 149-153. doi:10.1016/0165-1765(91)90162-E
- J. G. MacKinnon, “Critical Values for Cointegration Tests,” In: R. F. Engle and C. W. J. Granger, Eds., Long- Run Economic Relationships, Oxford University Press, Oxford, 1991, pp 267-276.
- C. W. J. Granger, “Investigating Causal Relations by Econometric Models and Cross-spectral Methods,” Eco- nometrica, Vol. 37, No. 3, 1969, pp. 424-438. doi:10.2307/1912791
- C. Granger, “Some Recent Developments in a Concept of Causality,” Journal of Econometrics, Vol. 39, No. 1-2, 1988, pp. 199-211. doi:10.1016/0304-4076(88)90045-0