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中国工业低碳全要素生产率的测算及分解——基于动态EBM-MI指数模型 被引量:4

The measurement and decomposition of China's industrial low-carbon total factor productivity——based on the dynamic EBM-MI index model
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摘要 采用动态EBM-MI指数模型测度2000—2015年中国33个工业行业的低碳全要素生产率,并将低碳全要素生产率分解为规模效率变动(SEC)、动态进步(DPC)、纯技术进步(TPC)、纯技术效率变动(PTEC)以及环境效率变动(EC)五项。研究结果表明:1.中国工业低碳全要素生产率的年均增长率为4.3%,其历年指数大都围绕1波动。在五个分解项中,技术进步对低碳全要素生产率增长发挥的作用最大。2.绝大多数工业行业的低碳全要素生产率是增长的,且增速具有较为明显的行业异质性,技术密集型、清洁型工业的增速明显高于其他行业,污染密集型工业的增速最为缓慢。 The dynamic EBM-MI index model is used to measure the total factor productivity of low-carbon in 33 industrial sectors in China from 2000 to 2015,which has been decomposed into five indices,including scale efficiency change(SEC),dynamic progress(DPC),pure technological progress(TPC),pure technical efficiency change(PTEC)and environmental efficiency change(EC).The results show that China’s industrial low-carbon total factor productivity has an average annual growth rate of 4.3%,and its index is mostly fluctuated around 1 over the years.Among the five decompositions,the technological progress plays the largest role in the growth of low-carbon total factor productivity.It is also found that the total factor productivity of low-carbon in most industrial sectors is increasing,and the growth rate has obvious industrial heterogeneity.The growth rate of technology-intensive and clean industries is significantly higher than that of other industries,and the growth rate of pollution-intensive industries is the slowest.
作者 许冬兰 张敏 XU Dong-lan;ZHANG Min(Economics College,Ocean University of China,Qingdao 266100,China)
出处 《青岛科技大学学报(社会科学版)》 2018年第4期19-24,共6页 Journal of Qingdao University of Science and Technology(Social Sciences)
基金 教育部人文社科研究规划基金项目(16YJA790055)
关键词 低碳全要素生产率 工业 动态EBM-MI指数模型 low carbon total factor productivity industry dynamic EBM-MI index model
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