中国三次产业要素投入与经济增长:基于岭回归经验分析  

Factor Input of Three Industries and Economic Growth in China: Based on Ridge Regression

作　　者：赵霞[1,2] 王志增[3] 

机构地区：[1]兰州商学院国际经济与贸易学院 [2]甘肃商务发展研究中心 [3]兰州商学院工商管理学院,兰州730020

出　　处：《重庆工商大学学报（社会科学版）》2015年第4期1-9,共9页Journal of Chongqing Technology and Business University：Social Science Edition

基　　金：国家社会科学基金项目(09XMZ038);甘肃省教育厅高校科研项目(2013A-077);兰州商学院2013年度重点科研项目(LZ201301)

摘　　要：将资本、劳动和能源作为投入要素,通过构造包含有生产要素三次产业投入结构的柯布-道格拉斯生产函数,分析三次产业中的要素投入与经济增长的关系,并对产业间的要素流动对经济增长的影响进行测算。研究结果表明:从弹性系数比较来看,第三产业的要素产出效率高于第一、第二产业,劳动的产出弹性系数大于资本和能源的产出弹性系数;从要素投入方向看,在要素总量既定的条件下,要素在三次产业间的重新配置具有增长效应,第三产业资本增长份额来源于第二产业,劳动、能源投入份额全部来源于第一产业有利于实现产出最大化。Capital,labor and energy are taken as input factors. Based on Cobb-Douglas production function including investment structure of production factor in three industries,this paper analyzes the relationship between factor input and economic growth,and calculates the impact of inter-industry factor mobility on economic growth. The results show that factor output efficiency of tertiary industry is higher than that of primary and secondary industries while output elasticity coefficient of labor is greater than capital and energy in terms of elastic coefficient. In terms of factor input,reconfiguration of elements among the three industries has growth effect under the established total amount of elements condition. Capital growth share of tertiary industry comes from secondary industry and input shares of labor and energy totally come from primary industry,which can reach the output maximization.

关 键 词：三次产业 要素投入 经济增长 岭回归 

分 类 号：F264.1[经济管理—国民经济] F224.0