首页> 外文期刊>Sustainability >China’s Industrial Total-Factor Energy Productivity Growth at Sub-Industry Level: A Two-Step Stochastic Metafrontier Malmquist Index Approach
【24h】

China’s Industrial Total-Factor Energy Productivity Growth at Sub-Industry Level: A Two-Step Stochastic Metafrontier Malmquist Index Approach

机译:中国工业总因素能源生产率增长在亚行业水平:两步随机地区Malmquistier Malmquist指数方法

获取原文
           

摘要

Under the concept of metafrontier, technology gap ratio is alternatively interpreted as potential energy efficiency. Combined with Malmquist index framework and Shephard energy distance function, we then develop a metafrontier Malmquist energy productivity index to analyze the total-factor energy productivity growth with four specific components: groupfrontier efficiency change index, groupfrontier technological change index, efficiency catch-up index and technological catch-up index. Methodologically, a newly developed two-step stochastic metafrontier analysis is applied to address the potentially biased estimation problems in the previous mixed approach. This analytical framework is used to evaluate the energy productivity growth of China’s 35 sub-industries in industrial sector from 2001 to 2015. The main empirical results show that: (1) In terms of cumulative metafrontier Malmquist energy productivity growth, China’s overall industry has witnessed a 25% growth and a U-shaped growing trend bottoming out in 2006; meanwhile, 19 sub-industries have suffered an energy productivity loss and the remaining 16 sub-industries have experienced an energy productivity gain. (2) From the technology heterogeneity perspective, light industry outperforms heavy industry in metafrontier Malmquist energy productivity growth, while the intra-group and inter-group energy productivity develops roughly in balance for overall industry. (3) The change of metafrontier Malmquist energy productivity is mainly driven by technological change components rather than efficiency change components. On average, groupfrontier technological change makes the biggest contribution to energy productivity growth, followed by technological catch-up, then efficiency catch-up, and groupfrontier efficiency change is last. (4) The metafrontier Malmquist energy productivity growth has shown a significant convergence in heavy industry and light industry, as well as overall industry.
机译:在MetaFr之间的概念下,技术差距比例被解释为潜在的能源效率。结合Malmquist指数框架和Shephard能量距离功能,我们开发了Metafrontier Malmquist能源指数,分析了四个特定组件的总因素能源生产力增长:GlobRontier效率变化指数,GlobRontier技术变更指数,效率追赶指数和效率技术追赶指数。方法论上,应用了新开发的两步随机元交割分析来解决先前混合方法中的潜在偏置估计问题。该分析框架用于评估2001年至2015年工业部门的35个亚行业的能源生产率。主要经验结果表明:(1)就累计的Metafr之间的Malmquist能源生产率增长而言,中国的整体行业已经见证了2006年的25%的增长和U形不断增长的趋势;与此同时,19个子行业遭遇了能源生产率损失,其余16个次行业经历了能源生产力增益。 (2)从技术异质性的角度来看,轻工业优于Metafrontier Malmquist能源增长的重工业,而组内和集体间的能源生产率大致平衡为整体行业。 (3)Metafrontier Malmquist能源生产率的变化主要由技术变更组件而不是效率变化组件驱动。平均而言,GroupFrontier技术变革对能源生产力增长的最大贡献,其次是技术追赶,然后效率追赶,并持续GroupFortier效率变化。 (4)Moldrontier Malmquist能源生产率增长显示出重型工业和轻工业的重要趋同,以及整体行业。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号