管理评论 ›› 2024, Vol. 36 ›› Issue (12): 133-144.

• 创新与创业管理 • 上一篇    下一篇

中国绿色创新政策执行有效性及其效应测算——基于政策文本的量化研究

程飞1, 陈通2, 景晓栋3   

  1. 1. 南京师范大学商学院, 南京 210023;
    2. 天津大学管理与经济学部, 天津 300072;
    3. 河海大学商学院, 南京 211100
  • 收稿日期:2022-06-13 出版日期:2024-12-28 发布日期:2025-01-02
  • 作者简介:程飞,南京师范大学商学院讲师,博士;陈通,天津大学管理与经济学部教授,博士生导师,博士;景晓栋(通讯作者),河海大学商学院博士研究生。
  • 基金资助:
    国家自然科学基金青年项目(72404137);国家社会科学基金后期资助项目(21FJYB047;19FJYB029)。

Measuring the Effectiveness of Green Innovation Policy Implementation in China—A Quantitative Study Based on Policy Texts

Cheng Fei1, Chen Tong2, Jing Xiaodong3   

  1. 1. School of Business, Nanjing Normal University, Nanjing 210023;
    2. College of Management and Economics, Tianjin University, Tianjin 300072;
    3. School of Business, Hohai University, Nanjing 211100
  • Received:2022-06-13 Online:2024-12-28 Published:2025-01-02

摘要: 绿色技术创新是同时实现碳中和与经济高质量发展的关键。本文对我国2006—2020年中央层面颁布的246份政策文本进行量化评价,引入双边随机前沿模型,捕捉绿色创新政策执行的有效性对绿色技术创新的影响。研究发现,我国绿色创新政策的平均有效性整体呈波动上升的趋势。命令型、市场型和信息型的政策工具在治理期限和治理效果上显著不同。平均而言,绿色创新政策的执行治理效应使得绿色技术创新水平高于前沿水平16.1%,而政策执行的挤出效应以8.5%的幅度降低地区绿色技术创新水平,两者抵消后的综合作用使得实际绿色技术创新水平高于前沿水平7.6%。绿色创新政策的治理效果呈“W型”的时间波动,中部地区的政策治理效果亟待提升。另外,在产业结构和经济发展水平的影响下,政策执行强度对绿色创新净效应的影响呈现“U”型趋势;中等金融环境水平的地区,地方政府反而有更强的动机推动政策执行,引发更大的绿色创新“涟漪效应”。本研究有助于动态评估绿色创新政策的治理效果,为实现绿色创新高质量发展提供针对性的启示。

关键词: 绿色技术创新, 政策执行, 双边随机前沿模型, 政策量化

Abstract: Green technology innovation is the key to achieving carbon neutrality and economic development. This paper provides a quantitative evaluation of 246 policy texts issued in China between 2006 and 2020. A bilateral stochastic frontier model is introduced to capture the impact of green innovation policy and its implementation deviation on green technology innovation. The results are as follows. The annual quantity of environmental innovation policies follows the same trend as the total effectiveness of the policies, while the average effectiveness exhibits a trend of fluctuating upward. There is significant heterogeneity in the effectiveness and sustainability of policy instruments. On average, the implementation and governance benefits of environmental policies make the green technology innovation level 16% higher than the frontier level, while the policy implementation deviation reduces the regional green technology innovation level by 8.3%. The net effect of these two opposing forces makes the actual level of green technology innovation 7.7% above the frontier level. The driving effect of green innovation policies is characterized by a “W-shaped” temporal distribution. It is very necessary to enhance the policy governance effectiveness in central China. In addition, under the influence of industrial structure and economic development, the impact of the intensity of policy implementation on the net effect shows a “U” shape. In financially medium-developed regions, local governments are more motivated to put policies into practice, thus leading to significant “ripple effect” of green innovation. This paper contributes to the dynamic assessment of the governance effects of green innovation policies and provides targeted insights for the development of high-quality of green innovation.

Key words: green technology innovation, policy implementation deviation, bilateral stochastic frontier model, policy quantification