经济理论与经济管理 ›› 2023, Vol. 43 ›› Issue (12): 92-106.

• • 上一篇    下一篇

城市科技创新与空气污染:影响效应、异质性与机制*

  

  1. 中国人民大学应用经济学院
  • 出版日期:2023-12-16 发布日期:2024-01-15
  • 基金资助:
    本文得到了国家自然科学基金项目“黄河流域城市群与产业高质量发展的协同推进路径与模式”(72050001)的资助。

URBAN TECHNOLOGICAL INNOVATION AND AIR POLLUTION:IMPACTS,HETEROGENEITY AND MECHANISMS

  1. School of Applied Economics,Renmin University of China
  • Online:2023-12-16 Published:2024-01-15

摘要: 本文基于手工收集整理的2005—2015年中国288个城市及其产业的专利数据,实证分析了城市科技创新对空气污染的影响效应、异质性与机制。研究发现,城市科技创新对空气污染具有显著抑制作用,且这一抑制作用存在空间效应。分行业看,制造业和能源业的科技创新能够抑制空气污染,而农林牧渔业、信息服务业和采矿业的科技创新会加剧空气污染。异质性分析发现,绿色专利等环境保护型科技创新能够更有效地减少空气污染;以内陆西部地区为首的城市和人口规模在500万人以下城市的科技创新能够有效抑制空气污染。机制分析发现,科技创新通过产业结构升级、能源消耗减少和经济增长抑制了空气污染的进一步恶化,但未来仍需加强科技创新在缓解资源错配中的作用以抑制空气污染。


关键词: 科技创新, 空气污染, 绿色专利, 机制分析

Abstract: Based on the manually collected patent data of 288 cities and their industries in China from 2005 to 2015,this paper empirically analyzes the impact,heterogeneity and mechanism of urban technological innovation on air pollution This study finds that urban technological innovation significantly curbs air pollution and has a spatial effect In terms of different industries,while technological innovation in manufacturing and energy industries can curb air pollution,technological innovation in agriculture,forestry,animal husbandry and fishery,information services,and mining industries can exacerbate air pollution Heterogeneity analysis finds that green patents can be more effective in reducing air pollution;technological innovation in inland cities (especially those in western regions) and cities with a population of less than 5 million can effectively reduce air pollution Mechanism analysis finds that technological innovation has restrained air quality from further deteriorating through industrial structure upgrading,energy consumption reduction and economic growth,but the role of technological innovation in alleviating resource mismatch should be further strengthened to curb air pollution


Key words: technological innovation, air pollution, green patent, mechanism analysis