Study about Economic Growth Quality in Transferred Representative Areas of Midwest China

Jun He, Yi Yu, Qingfang Liu, Yujuan Zhang

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School of Management, University of Science and Technology of China, Hefei, China.

DOI: 10.4236/ajibm.2013.32019                

Abstract

Malmquist productivity index (output based) and stochastic frontier production model are used to calculate the total factor productivity and decomposition index of 21 cities in transferred representative area and Shanghai. This paper also uses Tobit model to reveal influencing factors of production efficiency, taking Anhui Province as an example. The result shows that, growth of total factor productivity has been mainly brought by technology progress. Reducing of technology efficiency can hinder its growth. Development gap between Midwest China and developed areas owns to technology efficiency gap. The efficiency has a positive correlation with share of state-owned enterprise total in industrial output value, opening degree, human resources level and infrastructure level. At the same time, it negatively correlates with the share of government spending in GDP. The efficiency is uncorrelated with export and the proportion of science and technology spending accounts for fiscal expenditure.

Keywords

Total Factor Productivity; Malmquist Index; Translog Production Function; Tobit Model

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Y. M. Ye, “The Calculation and Analysis of Provincial TFP in China,” Economist, No. 3, 2002, pp. 115-121.
[2]	Q. W. Guo, Z. Y. Zhao and J. X. Jia, “The Analysis of Provincial Total Factor Productivity in China,” The Journal of Word Economy, No. 5, 2005, pp. 46-53.
[3]	W. Zhao, R. Y. Ma and Y. Q. He, “Analysis of Provincial Total Factor Productivity Change: Based on Malmquist Index,” Statistical Research, No. 7, 2005, pp. 37-42.
[4]	B. L. Liu and Q. B. Li, “The Dynamic Analysis of China’s TFP: 1990-2006—Based on Malmquist Index and DEA Model,” Nankai Economic Studies, No. 3, 2009, pp. 139-152.
[5]	Z. G. Wang, L. T. Gong and Y. Y. Chen, “The Analysis of Provincial Production Efficiency and TFP (1978-2003),” Social Sciences in China, No. 2, 2006, pp. 55-66.
[6]	X. X. Fu and L. X. Wu, “Adaptability of Frontier Analysis in China’s Economic Growth Accounting,” The Journal of Word Economy, Vol. 7, 2007, pp. 56-66.
[7]	X. Y. Zhou and C. H. Han, “The Decomposition of Production Efficiency and Total Factor Productivity in China (1990-2006),” Nankai Economic Studies, No. 5, 2009, pp. 28-48.
[8]	Z. P. Wang, “Regional Disparity in Production Efficiency and Decomposition of Productivity Growth,” The Journal of Quantitative & Technical Economics, No. 1, 2010, pp. 33-43.
[9]	R. Fare, S. Grosskopf, M. Norris and Z. Zhang, “Productivity Growth, Technical Progress and Efficiency Change in Industrialized Countries,” American Economic Review, No. 84, 1994, pp. 66-83.
[10]	D. Aigner, C. A. Knox Lovell and P. Schmidt, “Formulation and Estimation of Stochastic Frontier Production Function Models,” Journal of Econometrics, Vol. 6, No. 1, 1977, pp. 21-37. doi:10.1016/0304-4076(77)90052-5
[11]	W. Meeusen and J. van den Broeck, “Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error,” International Economic Review, Vol. 18, No. 2, 1977, pp. 435-444. doi:10.2307/2525757
[12]	G. E. Battese and T. J. Coelli, “Frontier Production Functions, Technical Efficiency and Panel Data: With application to Paddy Farmers in India,” Journal of Productivity Analysis, Vol. 3, No. 1-2, 1992, pp. 153-169. doi:10.1007/BF00158774
[13]	S. C. Kumbhakar and C. A. Knox Lovell, “Stochastic Frontier Analysis,” Cambridge University Press, Cambridge, 2003.