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县域经济增长中结构红利的测度及决定 ——基于中国1 820个县面板数据的实证分析
引用本文:王振华.县域经济增长中结构红利的测度及决定 ——基于中国1 820个县面板数据的实证分析[J].经济理论与经济管理,2014,34(6):102-112.
作者姓名:王振华
作者单位:沈阳农业大学经济管理学院,沈阳110866
基金项目:辽宁省高等学校重大人文社会科学研究专项“辽宁县域经济与现代农业发展研究”(ZW2012013)
摘    要:产业结构升级是经济增长的源泉之一。本文基于中国1 820个县的面板数据,采用Translog生产函数估计要素弹性,进而测度县域经济增长中的结构红利,同时构建空间误差计量模型对结构红利的影响因素进行检验。研究结果表明2002-2010年间,结构红利占县域GDP总值的444%,对县域GDP增长的贡献达到了2435%。劳均资本、劳均土地等变量对结构红利有显著影响,本文还发现,在东部、中部、西部三个地区,财政支出占GDP的比重对结构红利都有显著的负向影响。

收稿时间:2014-01-21

THE MEASURE OF STRUCTURAL BONUS AND INFLUENCE FACTORS IN COUNTY ECONOMY ——Evidence from 1 820 Counties in China
ZHANG Guang-Sheng,WANG Zhen-Hua.THE MEASURE OF STRUCTURAL BONUS AND INFLUENCE FACTORS IN COUNTY ECONOMY ——Evidence from 1 820 Counties in China[J].Economic Theory and Business Management,2014,34(6):102-112.
Authors:ZHANG Guang-Sheng  WANG Zhen-Hua
Institution:College of Economics and Management,Shenyang Agricultural University,Shenyang 110866,China
Abstract:The upgrade of industrial structure is the source of economic growthBased on the panel data of 1 820 counties in China,this paper estimates elasticity of production factors with the Translog production function and makes the further measure of structural bonusThe results show that contribution of structural bonus to the GDP in county economy reaches 444% and to the growth rate of GDP is 2435%The spatial econometric model examines that the per capita capital and per capita cultivated land area have significant effect on structural bonus,and in the three areas,the structure of fiscal expenditure proportion in GDP has significant negative impact on structural bonus
Keywords:upgrade of industrial structure                                                                                                                        county economy                                                                                                                        Translog production function                                                                                                                        spatial econometric model                                                                                                                        Morans I
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