《China Economic Review》| Gao et al：考虑碳排放的中国省际全要素生产率核算及决定因素分析
摘要：中国经济快速增长最不良的结果之一就是不断增加的碳排放。本研究测算并分析了2000 - 2017年碳排放对中国区域全要素生产率的影响。利用全球Malmquist-Luenberger生产率指数，在考虑碳排放的情况下，对各省全要素生产率进行了重新估计，比较了不同的规模收益假设，并考虑了排名反转问题。本文还考察了中国各区域经济的技术进步和效率变化的差异，发现技术进步是提高中国省际生产率的主要因素。此外，基于各省面板数据分析了影响生产率的因素。结果表明：创新能力、能源和就业结构对省际生产率有显著影响，城镇化对省际生产率有负向影响。研究证明，通过加大区域研发投入，调整优化区域产业结构和能源结构，实现区域可持续发展。
关键词：碳排放；全要素生产率(TFP)；数据包络分析(DEA)；定向距离函数(DDF)；全球Malmquist-Luenberger指数
Abstract: One of the most undesirable output of China’s rapid economic growth has been increasing carbon emissions. This study measures and analyzes the impact of carbon emissions on China’s regional total factor productivity from 2000 to 2017. Using global Malmquist-Luenberger productivity indexes, we re-estimate the provincial total factor productivity taking carbon emission into ac-count, comparing different assumptions of returns to scale and considering the rank reverse issue. The differences of technical progress and efficiency change across Chinese regional economies are also investigated and we found that the former was the primary contributor to improved Chinese provincial productivity performance. In addition, we analyze the influencing factors of produc-tivity based on provincial panel data. Our results indicate that innovation capacity, energy and employment structure had significant impact on the provincial productivities while urbanization had a negative impact. A more sustainable development can be expected by expanding regional investment in R&D, adjusting and optimizing structures of regional industries and energies.
Keywords:Carbon emission ；Total factor productivity (TFP) ；Data envelopment analysis (DEA) ；Directional distance function (DDF) ；Global Malmquist-Luenberger Index
《China Economic Review》，最新影响因子为2.736，主要发表关于中国经济及其与世界经济关系的原著。我们特别寻求有关中国经济体制变化、政策和绩效的定量和分析性论文；鼓励对中国与其他国家的发展过程进行比较研究。
原文链接：
https://www.sciencedirect.com/science/article/pii/S1043951X20301735
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