Logistics technical efficiency disparity and affecting factors:Based on cross-province panel data using a single-stage estimationof the stochastic frontier analysis

Abstract

Abstract: Based on the panel data of China's 29 regions during the period of 1991-2007, an empirical analysis on the disparity and the exogenous affecting factors of the technical efficiency of logistics industry is condncted by using a single-stage estimation procedure of the stochastic frontier production function. The results show that the overall technical efficiency is the low, and there are expanding disparities between regions; the proportion of the state-owned economy in fixed assets and government intervention impede the improvement of the efficiency, but the negative impacts are gradually decreasing; human capital and degree of openness have the positive effects on the efficiency, in the central and western regions, there is an interaction between lower human capital and degree of openness, which makes a widening gap of the efficiency between these two regions and the east region; with the implementation of west development strategy, the industrial structure has become a significantly positive affecting factor in the west region; as far as logistics development environment is concerned, the phenomenon of sunken can be found in central region; improvement of logistics has an important meaning to promote the regional coordinative development.

Key words: logistics industry, technical efficiency, regional disparity, affecting factor, stochastic frontier analysis

CLC Number:

Tiang Gang, Li Nan. Logistics technical efficiency disparity and affecting factors:Based on cross-province panel data using a single-stage estimationof the stochastic frontier analysis[J]. Science Research Management, 2011, 32(7): 34-44.

References

[1] 庞瑞芝. 我国主要沿海港口的动态效率评价[J]. 经济研究,2006(6):26-33. [2] 潘书麟. 台湾物流业营运效率之比较研究 . 国立中央大学硕士学位论文, 2006. [3] LIU Yang, WU Yu-hua. Empirical analysis on TFP change in Chinese 1ogstics industry: A nonparametric Malmquist index approach[J]. Chinese Business Review, 2007, 6(4):35-40. [4] 李兰冰,刘秉镰. 我国对外开放机场的动态生产效率研究[J]. 中国工业经济,2007, 235(10):29-36. [5] 邓学平,王旭,A da Suk Fung N g,林云. 我国物流企业全要素生产效率分析[J]. 系统工程, 2008,26(6):1-9. [6] 刘玉海,林建兵,翁嘉辉. 中国道路运输业营运效率动态分析——基于Malmquist生产力指数[J]. 产业经济研究, 2008,32 (1): 56-63. [7] 王亚华,吴凡,王争. 交通行业生产率变动的Bootstrap-Malmquist指数分析 (1980~2005) [J]. 经济学(季刊) , 2008,7(3): 891-912. [8] 贺竹磬,孙林岩. 我国区域物流相对有效性分析[J]. 科研管理, 2006,27(6): 144-150. [9] 惠玉蓉、董千里. 基于数据包络分析(DEA)的物流业可持续发展有效性评价[J]. 北京交通大学学报(社会科学版), 2008,7(3):65-69. [10] Lucas,R.E. On the Mechanics of Economic Development[J]. Journal of Monetary Economics, 1988,(22):3-42. [11] Wang Yan,Yao Yudong. Sources of China's Economic Growth, 1952—99: Incorporating Human Capital Accumulation[J]. China Economic Review, 2003, 14(1):32-52. [12] 道格拉斯﹒C﹒诺斯. 制度、制度变迁与经济成就[M]. 上海:上海三联书店,1994. [13] 肖耿. 产权与中国经济改革[M]. 北京:中国社会科学出版社,1997. [14] 颜鹏飞,王兵. 技术效率、技术进步与生产率增长:基于DEA 的实证分析[J]. 经济研究,2004(12):55-65. [15] 魏楚. 能源效率及其影响因素:基于DEA的实证分析[J]. 管理世界,2007(8): 66-76. [16] 涂正革,肖耿. 中国的工业生产力革命—用随机前沿生产模型对中国大中型工业企业TFP增长的分解及分析[J]. 经济研究,2005(3): 4-15. [17] 冯耕中,汪寿阳,周永圣,朱凯誉,陈宝峰. 中国物流业发展回顾与2007年展望 .中国科学院预测研究中心, 2007年1月, CEFS-07-003. [18] 丁俊发. 中国物流业首先从制造业突破[J]. 中国流通经济, 2008(5):7-11. [19] 傅晓霞,吴利学. 前沿分析方法在中国经济增长核算中的适用性[J]. 世界经济,2007(7): 56-66. [20] Aigner,J., Lovell,K., Schmidt,P. Formulation and Estimation of Stochastic Frontier Production Function Models[J]. Journal of Econometric, 1977,6(1): 21-37. [21] Meeusen,W., Broeck,J.V. Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error[J]. International Economic Review, 1977,18 (2):435-444. [22] Battese,E. , Coelli,T. Frontier Production Functions, Technical Efficiency and Panel Data: With Application to Paddy Farmers in India[J]. Journal of Productivity Analysis, 1992,3:153-169. [23] Battese, E. , Coelli, T. A Model of Technical Inefficiency Effects in Stochastic Frontier Production for Panel Data[J]. Empirical Economics, 1995,20: 325-332. [24] Coelli,T., Rao,P., Battase,E. An IntroductionTo Efficiency and Productivity Analysis[M]. Boston: Kluwer Academic Publishers,1998. [25] Kunbhakar,S. , Lovell ,C. Stochastic froniter analysis [M]. New York : Cambridge UniversityPress, 2000. [26] Stevens,P. A. Accounting for Background Variables in Stochastic Frontier Analysis . NIESR Discussion Paper, 2004,No. 239. [27] 蔡昉,王德文,都阳. 劳动力市场扭曲对区域差距的影响[J]. 中国社会科学,2001(2):4-14. [28] 胡鞍钢, 熊义志. 我国知识发展的地区差距分析:特点、成因及对策[J]. 管理世界,2000(3):5-17. [29] 王志刚,龚六堂,陈玉宇. 地区间生产效率与全要素生产率增长率分解: 1978~2003[J]. 中国社会科学,2006(2):55-66. [30] 樊纲,王小鲁. 消费条件模型和各地区消费条件指数[J]. 经济研究,2004(5):13-21. [31] 代合治. 长江三角洲、珠江三角洲、环渤海区域工业结构比较[J]. 地理学与国土研究,2000,16(1):36-40. [32] 陈佳贵,黄群慧,钟宏武,王延中等. 中国工业化进程报告—1995—2005年中国省域工业化水平评价与研究[M]. 北京:社会科学文献出版社,2007. [33] 杨胜刚,朱红. 中部塌陷、金融弱化与中部崛起的金融支持[J]. 经济研究,2007(5):55-67. [34] 王小鲁,樊刚. 中国地区差距的变动因素和影响因素[J]. 经济研究,2004(1):33-44. [35] Leamer,E. A Trade Economist's View of U.S. Wage and Globalization . Seminar paper, Department of Agricultural and Resource Economics,University of Connecticut,1995. [36] Borensztein,E., Gregorio,J. D., Lee, I. W. How does Foreign Direct Investment Affect Economic Growth? [J]. Journal of Internutional Economics, 1998, 45(1):115-135. [37] Miller,S. M., Upadhyay,M. P. The Effects of Openness, Trade Orientation, and Human Capital on Total Factor Productivity[J]. Journal of Development Economics, 2000,63(2):399-423. [38] Kumar,S., Russell,R. R. Technological Change, Technological Catch-up, and Capital Deepening: Relative Contributions to Growth and Convergence[J]. American Economic Review, 2002, 92(3):527-548. [39] 安虎森,殷广卫. 中部塌陷:现象及其内在机制推测[J]. 中南财经政法大学学报, 2009, 172(1): 3-8.