• 中国科学学与科技政策研究会
  • 中国科学院科技战略咨询研究院
  • 清华大学科学技术与社会研究中心
ISSN 1003-2053 CN 11-1805/G3

科学学研究 ›› 2018, Vol. 36 ›› Issue (4): 744-753.

• 技术创新与制度创新 • 上一篇    下一篇

绿色技术创新、环境规制与能源强度——基于中国制造业的实证分析

徐建中1,王曼曼2   

  1. 1. 哈尔滨工程大学经济管理学院
    2. 哈尔滨工程大学
  • 收稿日期:2017-04-19 修回日期:2017-08-10 出版日期:2018-04-15 发布日期:2018-04-20
  • 通讯作者: 王曼曼
  • 基金资助:

    低碳经济背景下装备制造业企业行为演化与运营模式研究;黑龙江省装备制造企业低碳技术创新采纳机制研究

Green technology innovation, environmental regulation and energy intensity-An empirical study based on Chinese manufacturing industry

  • Received:2017-04-19 Revised:2017-08-10 Online:2018-04-15 Published:2018-04-20

摘要: 基于核密度函数模型描绘我国制造业能源强度的动态演变规律和行业异质性,从行业环境规制视角构建绿色技术创新对能源强度的非线性门槛模型,探讨行业环境规制的门槛效应和时序变化,进而利用各因素多个分位数全面分析对能源强度的影响效应。研究结果表明:样本期间我国制造业能源强度整体发展较为收敛,行业差距有扩大趋势;能源相对价格、技术改造和人力资本水平与能源强度显著负相关;企业规模和技术引进在一定程度上制约能源强度降低;环境规制强度的增加促进绿色技术创新降低能源强度,但受限于行业低环境规制(ER≤0.101)和中环境规制(0.101<ER≤2.160)区间;环境规制存在行业异质性,不同年份同一行业也有较大差异;分位数回归结果表明门限回归夸大了企业规模对能源强度的正向影响,且高人力资本才能显著降低能源强度,低人力资本反之。

Abstract: This paper describes the dynamic evolution of China's manufacturing energy intensity and industry heterogeneity based on the Kernel density function model.In view of environmental regulation and constructs a nonlinear threshold model for green technology innovation to energy intensity.Moreover,it discusses the threshold effect and the change of time and employs multiple quantile to comprehensively analyze the effect on energy intensity.The results show that the overall development of China's manufacturing energy intensity is more convergent and the gap of the industry is expanding during the sample period.The relative price of energy, technological transformation and human capital are significantly negatively correlated with energy intensity.The increase of environmental regulation intensity promotes green technology innovation to reduce energy intensity in section ER≤0.101 and 0.101<ER≤2.160.Industry heterogeneity exists in environmental regulation and there is a big difference in the same industry in different years.Quantile regression results show that threshold regression exaggerates the positive impact of firm size on energy intensity and only high human capital could significantly reduce energy intensity.