【摘要】：運用C-D生產函數模型與DEA-Malmquist指數法,從單要素和全要素層面對中國制造業(yè)生產率進行實證分析。結果表明:自1998年起,制造業(yè)產出受資金投入的影響逐漸減弱,勞動生產率對產出的增速減緩;勞動密集型行業(yè)資金生產率高于制造業(yè)平均水平,而高新技術行業(yè)、裝備制造業(yè)則低于平均水平,勞動生產率在地區(qū)間和行業(yè)間過于均等;2013—2015年全要素生產率的增長率僅為1%,技術效率未能得到明顯改善且差異顯著。為此,應該大力發(fā)展以裝備制造業(yè)為主的中高技術產業(yè),發(fā)揮要素重置效應,推動生產效率的提升,實現要素投入向科技創(chuàng)新驅動的增長模式轉變。
[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.
【作者單位】： 中南民族大學管理學院;
【基金】：國家社會科學基金項目“中國制造業(yè)升級次第的統計監(jiān)測研究”(15BTJ023)
【分類號】：F424
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本文編號：2441809