考虑环境非期望产出的工业行业绿色全要素生产率异质性与提升选择偏好

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摘要文章综合考虑了中国37个工业部门2011~2020年投入产出数据，运用ML生产指数与非径向非角度的SBM效率测度模型，得到不同行业的绿色全要素生产率.研究发现，仅考虑碳排放会造成生产率的高估；绿色全要素生产率存在较大的行业异质性；通过绿色全要素生产率在工业经济增长中的贡献，论证了当前中国工业发展方式转变，中国工业仍处于“粗放型”的增长模式，需要进一步向“集约式”的绿色增长迈进.为了检验环境规制、外商直接投资、科技创新能力对绿色全要素生产率的影响，文章使用面板Tobit模型对工业行业进行实证分析，同时利用面板门槛模型对重工业、轻工业和高新技术行业进行环境规制与绿色全要素生产率的非线性关系研究，得到相应的门槛值.结果显示：企业规模和研发投入对于绿色全要素生产率增长有显著正向影响，严格的环境规制将会增加外商直接投资的门槛，贸易壁垒与运输成本使外商直接投资在绿色全要素生产率增长中发挥了负向作用；重工业行业的门槛值介于3.097和3.568时，环境规制对绿色全要素生产率提升的促进作用最强，当轻工业和高新技术行业门槛值介于3.035和4.269时，环境规制对绿色全要素生产率提升的抑制作用最小.

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关键词 ：绿色全要素生产率, 面板Tobit模型, SBM效率测度模型, 环境规制

Abstract：Based on input-output data of 37 industrial sectors in China from 2011 to 2020, green total factor productivity for different industries were obtained with ML production index and non-radial SBM efficiency measurement model. The study found that only considering carbon emissions could cause overestimation of the productivity, and there was significant industry heterogeneity in green total factor productivity. Through the contribution of green total factor productivity to industrial economic growth, it is demonstrated that China's industrial development mode necessarily further transform from "extensive" growth into "intensive" green growth model. The panel Tobit model was used to test the impact of environmental regulation, foreign direct investment and technological innovation capabilities on green total factor productivity of the industries. Moreover, a panel threshold model was used to consider the nonlinear relationship between environmental regulations and green total factor productivity for the heavy chemical industry, light industry, and high-tech industries, and corresponding threshold values were obtained. The results show that scale of enterprises and R&D inputs had significant positive impacts on the growth of green total factor productivity. Strict environmental regulations increase the threshold for foreign direct investment, while trade barriers and transportation costs make foreign direct investment played a negative role in the growth of green total factor productivity. When the threshold values of the heavy industry were between 3.097 and 3.568, environmental regulations had the strongest promoting effect on the improvement of green total factor productivity. When the threshold values of the light industry and high-tech industries were between 3.035 and 4.269, environmental regulations have the smallest inhibitory effect on the improvement of green total factor productivity.

Key words： green total factor productivity panel Tobit model SBM efficiency measurement model environmental regulation

收稿日期: 2023-03-27

PACS:

X32

基金资助:辽宁省教育厅基本科研项目（LJKZZ20220127）

通讯作者: 刘颖,副教授,liuy@dufe.edu.cn E-mail: liuy@dufe.edu.cn

作者简介: 刘颖(1973-)女,辽宁瓦房店人,副教授,博士,主要从事国民经济统计、国民经济核算研究.发表论文20余篇.liuy@dufe.edu.cn.

引用本文:

刘颖, 王诗. 考虑环境非期望产出的工业行业绿色全要素生产率异质性与提升选择偏好[J]. 中国环境科学, 2023, 43(11): 6183-6193. LIU Ying, WANG Shi. Green total factor productivity heterogeneity and promotion choice preference in industrial categories considering environmental undesirable-outputs. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(11): 6183-6193.

链接本文:

http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2023/V43/I11/6183

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