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作 者:范巧[1] 郭爱君[1] Fan Qiao;Guo Aijun(School of Economics, Lanzhou University)
机构地区:[1]兰州大学经济学院
出 处:《数量经济技术经济研究》2019年第8期165-181,共17页Journal of Quantitative & Technological Economics
基 金:2019年度重庆市教委人文社会科学规划项目“重庆深度融入‘一带一路’建设中自贸试验区的平台作用及强化路径研究”(19SKGH185);重庆科技学院校内培育基金重点项目“国家级新区辐射带动力及其实现机制研究”(CK2017SKZD001)的资助
摘 要:研究目标:在空间计量分析框架下对全要素生产率核算的索洛余值法做出改进,从而使核算结果更为精准。研究方法:将索洛余值法中的生产函数由非空间模型拓展为通用嵌套空间模型及其退化模型,并考察时空权重矩阵内生或外生设定和投入要素二元或多元假设下全要素生产率的核算方法,还将之应用于省级层面全要素生产率核算的算例中。研究发现:嵌入空间计量分析的索洛余值改进方法相比传统方法更为精准,其关键在于通用嵌套空间模型及其退化模型的优选过程,且不同最优模型对应不同的要素投入份额计算公式。研究创新:在空间计量分析框架下实现了对全要素生产率核算的索洛余值法的改进。研究价值:有利于实现空间计量分析和索洛余值法的有机结合。Research Objectives:Improve the Solow residual method for total factor productivity(TFP)calculating under the framework of spatial econometrical analysis.Research Methods:Extend the production function of the Solow residual method from non-spatial model to general nesting spatial model(GNSM)and its degradation models,and analyze the principles of calculating TFP under the Solow residual method with the extended models,which might have different spatial temporal weight matrices(endogenous or exogenous)and input factors(two or more).Moreover,this paper applies the principles into the TFP calculating of Chinese 31 provinces during 1990~2016.Research Findings:The improved Solow residual method is essentially different in that GNSM and its degradation models have different calculating formulas of share of input factors,which decided TFP and its growth rate;TFP should be calculated by the optimal model and its corresponding share of input factors,which can be chose by hypothesis test;exogenous spatial weight matrix should be employed in the improved method.Research Innovations:Promote an improved Solow residual method under the framework of spatial econometric analysis so that TFP can be calculated more accurately.Research Value:Realize the organic combination of spatial econometric analysis and the Solow residual method for TFP calculating.
关 键 词:通用嵌套空间模型 全要素生产率 索洛余值法 时空权重矩阵
分 类 号:F064.1[经济管理—政治经济学]
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