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中国劳动生产率增长的再分解及国际经验比较 被引量:10

Decomposition of labour productivity growth in China and international comparison
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摘要 基于劳动生产率增长机制中资本规模门槛与技术提升影响的动态视角,通过我国地区间、省际差距分析及OECD国家比较研究,运用三阶段DEA与核密度分析方法探讨技术效率、技术进步和资本积累效率对我国1978-2014年劳动生产率增长的影响,结果表明:(1)资本规模存在双门槛效应,资本投入不足及过度均限制了资本积累效率对劳动生产率增长的贡献率,进而从规模瓶颈到技术提升的增长机制转型具有必要性;(2)随着我国各省份资本积累水平的逐步提高,在资本规模门槛效应的限制下实现地区间劳动生产率追赶的关键在于技术进步,规模门槛和技术转型引起的省际劳动生产率差距分布呈现出M型动态演化趋势;(3)技术进步是OECD国家劳动生产率在资本积累高水平下实现稳定增长的原因。我国劳动生产率增长跨越规模门槛的重要途径是技术提升。 Based on the dynamic perspective of labour productivity growth mechanism which is from the capital threshold to technical promotion,by the analysis of provincial and regional disparity,and the comparative research on OECD. The study explores the influence of technology efficiency,technology progress and capital accumulation on the growth of labor productivity in 1978-2014 by using three-stage DEA method and kernel density estimation method,measuring and decomposing the growth of labor productivity. The study shows that:( 1) There is double threshold in capital scale,both inadequate and excessive capital investment limited the contribution of capital accumulation efficiency to labour productivity growth,and then the transformation from size bottlenecks to technologies is necessary.( 2) With the improvement of capital accumulation,the key to narrow regional disparity is technological progress under the capital threshold. The distribution of regional disparity to labor productivity which is caused by capital threshold and technical transformation presents a M type dynamic evolution trend.( 3) Technical progress is the reason for OECD to achieve steady increase in labor productivity at a high level of capital accumulation. Technology promotions an important way for Chinese labour productivity growth to cross capital threshold.
出处 《科学学研究》 CSSCI CSCD 北大核心 2017年第8期1188-1197,共10页 Studies in Science of Science
基金 教育部人文社科青年基金项目(16YJC790105) 辽宁省社科规划项目(L15CJY015) 大连理工大学人才引进基金项目(DUT15RC(3)124)
关键词 劳动生产率增长 资本规模门槛 技术进步 三阶段DEA 核密度估计 labour productivity growth capital threshold technical progress three-stage DEA kernel density estimation
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