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我国区域生产效率及其影响因素实证分析——基于2001-2008年省际面板数据与随机前沿方法
引用本文:王志平,陶长琪. 我国区域生产效率及其影响因素实证分析——基于2001-2008年省际面板数据与随机前沿方法[J]. 系统工程理论与实践, 2010, 30(10): 1762-1773. DOI: 10.12011/1000-6788(2010)10-1762
作者姓名:王志平  陶长琪
作者单位:1. 江西财经大学 信息管理学院, 南昌 330013;2. 华东交通大学 经济管理学院, 南昌 330013
基金项目:教育部新世纪优秀人才支持计划,国家自然科学基金
摘    要:运用随机前沿C-D生产函数,通过对全国和三大区域分别建模,对我国各地区的生产效率及其影响因素进行了分析.实证结果表明:生产效率区域格局为:东部大于中部大于西部;生产效率变化率的区域特征为:中部大于西部大于东部,中西部与东部生产效率差距逐步缩小;各模型一致表明,对外开放程度与基础设施的实际有效利用对生产效率变化具有普遍积极的作用;产业结构优化对东西部生产效率的边际效应最为显著;对中部而言,科技创新投入的作用最为突出.

关 键 词:生产效率  随机前沿生产函数  C-D生产函数  主成分变量  
收稿时间:2009-08-07

Regional production efficiency and its influence factors analysis in China--Based on 2001-2008 inter-provincial panel-data and SFA method
WANG Zhi-ping,TAO Chang-qi. Regional production efficiency and its influence factors analysis in China--Based on 2001-2008 inter-provincial panel-data and SFA method[J]. Systems Engineering —Theory & Practice, 2010, 30(10): 1762-1773. DOI: 10.12011/1000-6788(2010)10-1762
Authors:WANG Zhi-ping  TAO Chang-qi
Affiliation:1. Information and Management School, Jiangxi University of Finance and Economics, Nanchang 330013, China;2. Economics and Management School, East China Jiaotong University, Nanchang 330013, China
Abstract:With the use of SFA and the C-D production function, and models respectively for the nation and three regions, the author analyzes the regional characteristics of production efficiency of various regions in China and the influence factors of production efficiency. The empirical results show that the regional pattern of production efficiency: Eastern > Central > West; the regional characteristics of the change rate of production efficiency: Central > West > East, the gap between Central and West with Eastern is narrowing; All models consistently show that openness and effective and efficient use of infrastructure all have general positive effect on productive efficiency; Optimum of industrial structure has the most significant effect on marginal productivity to Eastern & West; while the role of technological innovation is most prominent for Central.
Keywords:production efficiency  stochastic frontier production function  C-D production function  the principal component variables  
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