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中国制造业生产率提升研究

发布时间:2019-03-16 17:17
【摘要】:运用C-D生产函数模型与DEA-Malmquist指数法,从单要素和全要素层面对中国制造业生产率进行实证分析。结果表明:自1998年起,制造业产出受资金投入的影响逐渐减弱,劳动生产率对产出的增速减缓;劳动密集型行业资金生产率高于制造业平均水平,而高新技术行业、装备制造业则低于平均水平,劳动生产率在地区间和行业间过于均等;2013—2015年全要素生产率的增长率仅为1%,技术效率未能得到明显改善且差异显著。为此,应该大力发展以装备制造业为主的中高技术产业,发挥要素重置效应,推动生产效率的提升,实现要素投入向科技创新驱动的增长模式转变。
[Abstract]:The production function model and DEA-Malmquist index method are used to analyze the productivity of Chinese manufacturing industry in terms of single factor and total factor. The results show that since 1998, the output of manufacturing industry has been gradually weakened by the impact of capital input, and the growth rate of labor productivity on output has slowed down. The capital productivity of labor-intensive industry is higher than the average level of manufacturing industry, while in the high-tech industry, the equipment manufacturing industry is lower than the average level, and the labor productivity is too equal among regions and industries. Total factor productivity (TFP) grew by only 1% in 2013-2015, while technical efficiency did not improve significantly and the difference was significant. Therefore, it is necessary to develop the medium-high-tech industry mainly in the equipment manufacturing industry, give full play to the factor reset effect, promote the promotion of production efficiency, and realize the transformation from the factor input to the scientific and technological innovation-driven growth mode.
【作者单位】: 中南民族大学管理学院;
【基金】:国家社会科学基金项目“中国制造业升级次第的统计监测研究”(15BTJ023)
【分类号】:F424


本文编号:2441809

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