Productivity in China's high technology industry: Regional heterogeneity and R & D

Technological Forecasting and Social Change

Volumn 79, Issue 1, 2012, Pages 127-141

  Zhang, Rui ^a   Sun, Kai ^b   Delgado, Michael S ^b   Kumbhakar, Subal C ^b  

^a SICHUAN UNIVERSITY   (China)

^b BINGHAMTON UNIVERSITY   (United States)

Author keywords

(SPSCM); China; Productivity; Research and development (R D); Semiparametric smooth coefficient model

Indexed keywords

INVESTMENTS; PRODUCTIVITY;

(SPSCM); CHINA; EASTERN REGIONS; HIGH TECHNOLOGY INDUSTRIES; RESEARCH AND DEVELOPMENT; SEMIPARAMETRIC; SEMIPARAMETRIC SMOOTH COEFFICIENT MODELS; TECHNICAL PROGRESS;

ECONOMICS;

DATA SET; HETEROGENEITY; HIGH TECHNOLOGY INDUSTRY; INDUSTRIAL PERFORMANCE; INDUSTRIAL PRODUCTION; PANEL DATA; RESEARCH AND DEVELOPMENT; SOCIOECONOMIC SURVEY; TECHNOLOGICAL DEVELOPMENT;

CHINA;

EID: 84860915957     PISSN: 00401625     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.techfore.2011.08.005     Document Type: Article

References (41)

1. China Statistical Yearbook on High Technology Industry, China Statistical Yearbook on High Technology Industry 2000-2009, China Statistics Press, 2009.
2. China Statistical Yearbook, China Statistical Yearbook 2000-2009, China Statistics Press, 2009.
3. OECD, OECD Factbook 2010: Economic, Environmental and Social Statistics, OECD Publishing, 2010 (2010).
4. C. Cobb, P. Douglas, A theory of production, Am. Econ. Rev. 18 (1928) 139-165.
5. Q. Li, C. Huang, D. Li, T. Fu, Semiparametric smooth coefficient models, J. Bus. Econ. Stat. 20 (2002) 412-422.
6. Z. Griliches, Issues in assessing the contribution of research and development to productivity growth, Bell J. Econ. 10 (1979) 92-116.
7. Z. Griliches, R & D and productivity slowdown, Am. Econ. Rev. 70 (1980) 343-348.
8. Z. Griliches, Productivity, R & D and basic research at the firm level in the 1970's, Am. Econ. Rev. 76 (1986) 141-154.
9. B. Hall, J. Mairesse, Exploring the relationship between R & D and productivity in French manufacturing firms, J. Econ. 65 (1995) 263-293.
10. Z. Griliches, R & D, Education and Productivity, Harvard University Press, 2000.
11. R. Griffith, S. Redding, J.V. Reenen, Mapping the two faces of R & D: productivity growth in a panel of OECD industries, Rev. Econ. Stat. 86 (2004) 883-895.
12. G. Hu, G. Jefferson, Returns to research and development in Chinese industry: evidence from state-owned enterprises in Beijing, China Econ. Rev. 15 (2004) 86-107.
13. J. Klette, S. Kortum, Innovating firms and aggregate innovation, J. Pol. Econ. 112 (2004) 986-1018.
14. G. Hu, G. Jefferson, J. Qian, R & D and technology transfer: firm-level evidence from Chinese industry, Rev. Econ. Stat. 87 (2005) 780-786.
15. G. Jefferson, H. Bai, X. Guan, X. Yu, R & D performance in Chinese industry, Econ. Innov. New Technol. 13 (2006).
16. H. Lodie;odie;f, A. Heshmati, On the relation between innovation and performance: a sensitivity analysis, Econ. Innov. New Technol. 15 (2006) 317-344.
17. Y. Wu, Measurement on R & D output elasticity of China's industrial sector, China Econ. Q. 7 (2008) 869-890.
18. H. Zhang, Two faces of R & D, activity of FDI and the growth of productivity of domestic manufacturing in China, Econ. Res. J. 5 (2005) 107-117.
19. X. Li, Own R & D, technology purchased and productivity development, J. Quant. Tech. Econ. 7 (2007) 15-24.
20. K. Wakelin, Productivity growth and R & D expenditure in UK manufacturing firms, Res. Policy 30 (2001) 1079-1090.
21. K. Tsai, J. Wang, R & D productivity and the spillover effects of high-tech industry on the traditional manufacturing sector: the case of Taiwan,World Econ. 27 (2004) 1555-1570.
22. Z. Cai, J. Fan, Q. Yao, Functional-coefficient regression models for nonlinear time series, J. Am. Stat. Assoc. 95 (2000) 941-956.
23. T.P. Mamuneas, A. Savvides, T. Stengos, Economic development and the return to human capital: a smooth coefficient semiparametric approach, J. Appl. Econ. 21 (2006) 111-132.
24. G. Asaftei, C. Parmeter, Market power, EU integration, and privatization: the case of Romania, J. Comp. Econ. 38 (2010) 340-356.
25. V. Hartarska, C.F. Parmeter, D. Nadolnyak, Economies of scope of lending and mobilizing deposits in microfinance institutions: a semiparametric analysis, Am. J. Agric. Econ. 93 (2011) 389-398.
26. B. Baltagi, Econometric Analysis of Panel Data, John Wiley & Sons Ltd., 2005.
27. Q. Li, J. Racine, Nonparametric Econometrics: Theory and Practice, Princeton University Press, Princeton, 2006.
28. C. Hulten, Fifty Years of Economic Management, Chicago University Press, 1991.
29. D. Jorgenson, Productivity and Economic Growth, in: E. Berndt, J. Triplett (Eds.), Fifty Years of Economic Measurement, Studies in Income and Wealth, vol. 54, University of Chicago Press, Chicago, 1990, pp. 19-118.
30. W. Bodie;nte, R & D and productivity: internal vs. external R and D - evidence from West German manufacturing industries, Econ. Innov. New Technol. 12 (2003) 343-360.
31. M. Schankerman, A. Pakes, Estimates of the value of patent rights in European countries during the post-1950 period, Econ. J. 96 (1986) 1052-1076.
32. B. Hall, Measuring the returns to R & D: the depreciation problem, NBER Working Paper No. 13473, 2007.
33. J. Musgrave, Fixed reproducible tangible wealth series in the United States, 1925-91, Surv. Curr. Bus. 66 (1986) 51-75.
34. C. Bischoff, E. Kokkelenberg, Capacity utilisation and depreciation-in-use, Appl. Econ. 19 (1987) 995-1007.
35. M. Nadiri, I. Prucha, Estimation of the depreciation rate of physical and R & D capital in the U.S. total manufacturing sector, Econ. Inq. 34 (1996) 43-56.
36. R. Stevenson, Measuring technological bias, Am. Econ. Rev. 70 (1980) 162-173.
37. O. Marsili, The Anatomy and Evolution of Industries, Northampton, MA, 2001.
38. J. Mairesse, P. Mohnen, The importance of R & D for innovation: a reassessment using French survey data, J. Technol. Transf. 30 (2005) 183-197.
39. J. Racine, Q. Li, Nonparametric estimation of regression functions with both categorical and continuous data, J. Econ. 119 (2004) 99-130.
40. Q. Li, J. Racine, Smooth varying-coefficient estimation and inference for qualitative and quantitative data, Econometric Theory 26 (2010).
41. J. Aitchison, C. Aitken, Multivariate binary discrimination by kernel method, Biometrika 63 (1976) 413-420.