Spatial difference and change trend of provincial TFP in China

Abstract

Abstract: Using DEA three-stage model and Malmquist index decomposition method, The Total Factor Productivity (TFP) of 28 provinces and cities in China during the period of 1987-2008 are measured and decomposed, the change trends and regional differences of TFP are also analyzed. At the same time, Kernel density distribution method is used to analyze the effects of input factors and TFP on regional economic gap. The results show that environmental factors have a great effect on the measurement of efficiency; therefore DEA three-stage model enhances scientificness of efficiency evaluation and comparability between the provinces. Technical efficiency is the main factor impacting TFP change, and spatial difference of TFP change is quite large, however the difference shows a narrowing trend. Evenly spatial distribution of input factors makes a greater contribution to narrow China’s regional economic gap.

Key words: TFP, DEA three-stage model, Malmquist index, regional economic gap

CLC Number:

F061.2

Tao Changqi, Qi Yawei. Spatial difference and change trend of provincial TFP in China[J]. Science Research Management, 2012, 33(11): 32-39,48.

References

[1] Wu, Y., Has Productivity Contributed to China’s Growth [J], Pacific Economic Review, 2003, 8(1):15-30.
[2] Henderson D.J., Tochkov K. and Badunerko O.. A Drive up the Capital Coast? Contribution to Post-Reform Growth across Chinese Provinces [J], Journal of Macroeconomics, 2007, 29(3): 569-594
[3] 傅晓霞,吴利学.技术效率、资本深化与地区差异—基于随机前沿模型的中国地区收敛分析[J],经济研究,2006(10):52-61.
[4] 陶长琪,齐亚伟.中国全要素生产率的空间差异及其成因分析[J],数量经济技术经济研究,2010(1):19-32
[5] Fried, H. O., Lovell C.A.K., Schmist S.S. and Yaisawarng S.. Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis [J], Journal of Productivity Analysis, 2002, 17(2):157-174.
[6] Avkiran N.K., and Rowland T.. How to Better Identify the True Managerial Performance: State of the art Using DEA [J], Omega, 2008, 36(2):317-324.
[7] Lee J.. Application of the Three-Stage DEA in Measuring Efficiency An Empirical Evidence [J]. Applied Economics Letter, 2008, 15(1):49-52.
[8] 黄森,蒲勇健.中国省域经济综合效率分析—基于三阶段DEA模型的研究[J],山西财经大学学报,2010(3):23-29.
[9] Jondrow, J., Materov, I., Lovell C.A.K., and Schmidt P.. On the Estimation of Technical Inefficiency in the Stochastic Frontier Production Model [J], Journal of Econometrics, 1982, 19(2):233-238.
[10] Fare R., Grosskopf S., Norris, M., and Zhang, Z.. Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries [J], American Economic Review, 1994, 84(1):66-83.
[11] Ray S.C., and Desli E.. Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries: Comment [J], American Economic Review, 1997, 87(5): 1033-1039.
[12] 单豪杰.中国资本存量K的再估算:1952-2006 [J],数量经济技术经济研究,2008(10):17-32.
[13] 王小鲁,樊纲.中国地区差距的变动趋势和影响因素[J],经济研究,2004(1):33-44.
[14] Sachs, J.. Institutions Don’t Rule: Direct Effects of Geography on Per Capita Income , NBER Working Paper, No. 9490, 2003.
[15] 沈坤荣,马俊.中国经济增长的"俱乐部收敛"特征及其成因研究[J],经济研究,2002(1):33-39.
[16] 徐建华,鲁凤,苏方林等.中国区域经济差异的时空尺度分析[J],地理研究,2005(1):57-68.
[17] 陈虹蒨,胡均立.经环境效果及统计噪音调整后的台湾地区人寿保险公司经营效率[J],保险经营与制度,2008(2):189-206.