首页|智能制造对中国城市低碳发展的赋能效应——基于工业机器人应用视角

智能制造对中国城市低碳发展的赋能效应——基于工业机器人应用视角

扫码查看
[目的]以城市为主体推进碳减排是实现"双碳"目标的必由之路,以智能化和自动化为核心特征的智能制造对绿色发展的重要性愈发显现,评估智能制造的碳减排效应为经济社会低碳发展提供科学依据。[方法]本文以工业机器人应用作为智能制造赋能低碳发展的切入,基于中国2006-2019年274个城市的面板数据,综合采用固定效应模型、中介效应检验等方法考察了工业机器人应用对中国城市碳排放的影响及其作用机制。[结果]①工业机器人应用能够降低城市碳排放,该结论经过稳健性检验后仍然成立。②工业机器人能够通过推动技术创新、赋能产业升级、促进数字化转型等途径助力城市碳减排。③工业机器人的碳减排效应在资源型城市、未参与国家智慧城市试点的城市以及政商关系较好的城市更加突出。[结论]本文识别了工业机器人应用助力城市碳减排的积极作用。应进一步提升智能制造技术应用的深度与广度,加强核心技术研发、产业智能化升级、城市治理与企业管理数字化转型的制度设计,促成新时期绿色生产力发展的新生动力源泉。
The enabling effect of intelligent manufacturing on China's urban low-carbon development:From the perspective of industrial robots
[Objective]Taking cities as the main agent to promote carbon emission reduction is essential for achieving the"dual carbon"goals.The significance of intelligent manufacturing for green development is increasingly apparent,and evaluating its impact on carbon emissions provides a scientific foundation for low-carbon economic and social development.[Methods]Based on the panel data of 274 cities in China from 2006 to 2019,this study comprehensively employed the fixed-effects model and mediation effects test to examine the impact of industrial robots on carbon emissions in Chinese cities and its mechanism.[Results](1)Industrial robots can reduce urban carbon emissions,and this conclusion remains valid after robustness tests.(2)Industrial robots can help cities reduce carbon emissions by promoting technological innovation,empowering industrial upgrading,and facilitating digital transformation.(3)The carbon emission reduction effect of industrial robots is more prominent in resource-based cities,non-national smart city pilots,and cities with better political and business relations.[Conclusion]This study identified the positive role of industrial robots in urban carbon emission reduction,providing empirical evidence for achieving a mutually beneficial goal of low-carbon development and establishing a manufacturing powerhouse.To this end,the government should further enhance the depth and breadth of intelligent manufacturing technologies,strengthen the institutional design of core technology research and development,industrial intelligent upgrading,and digital transformation of urban governance and enterprise management,in order to enhance the new driving power of green productivity development in the new era.

industrial robotscarbon emissionstechnological innovationindustrial upgradingdigital transformationChina

仲崇阳、张雨朦、马新啸

展开 >

南京财经大学经济学院,南京 210023

南京工业职业技术大学经济管理学院,南京 210023

中国海洋大学管理学院,青岛 266100

中国海洋大学中国企业营运资金管理研究中心,青岛 266100

展开 >

工业机器人 碳排放 技术创新 产业升级 数字化转型 中国

国家自然科学基金青年基金中国博士后科学基金面上项目山东省社会科学规划青年研究项目

723022242023M73333123DJJJ26

2024

资源科学
中国科学院地理科学与资源研究所 中国自然资源学会

资源科学

CSTPCDCSSCICHSSCD北大核心
影响因子:2.408
ISSN:1007-7588
年,卷(期):2024.46(4)
  • 65