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人工智能水平对碳排放不平等的影响研究OACHSSCD

The Impact of Artificial Intelligence Level on Carbon Emission Inequality

中文摘要英文摘要

人工智能作为推动社会经济变革的关键技术,对环境绩效的影响日益显著,探究人工智能绿色效应具有重要的现实意义.选取2014-2023年281个地级市的面板数据,采用双重固定效应模型考察人工智能水平对碳排放不平等的影响效应,结果表明:人工智能水平能够显著缓解碳排放不平等且具有稳健性,协调减排、绿色创新和高碳聚集密度是人工智能水平缓解碳排放不平等的重要路径;异质性分析表明人工智能水平对碳排放不平等的缓解效应在非资源型城市和高环境关注地区更为显著;此外人工智能水平对周边城市的碳排放不平等产生负向的空间溢出效应.因此,人工智能水平发展是缓解区域碳排放不平等的重要推动力,政策制定应加强区域间的协同治理,充分发挥空间正向溢出作用.

As a key technology driving socioeconomic transformation,artificial intelligence has an in-creasingly significant impact on environmental performance,making it of great practical significance to explore its green effects.Using panel data from 281 prefecture-level cities from 2014 to 2023 and em-ploying a two-way fixed effects model,this study examines the impact of artificial intelligence levels on carbon emission inequality.The results show that artificial intelligence levels can significantly alleviate carbon emission inequality,and this finding is robust;coordinated emission reduction,green innovation,and high-carbon agglomeration density are important pathways through which artificial intelligence alle-viates carbon emission inequality.Heterogeneity analysis indicates that the mitigating effect of artificial intelligence levels on carbon emission inequality is more pronounced in non-resource-based cities and regions with high environmental awareness.Furthermore,artificial intelligence level has a negative spa-tial spillover effect on carbon emission inequality in neighboring cities.Therefore,the development of artificial intelligence is an important driving force in alleviating regional carbon emission inequality,and policymakers should strengthen inter-regional collaborative governance to fully leverage its positive spatial spillover effects.

张优智;孙天

西安石油大学经济管理学院,陕西西安 710065西安石油大学经济管理学院,陕西西安 710065

信息技术与安全科学

人工智能水平碳排放不平等泰尔指数绿色创新空间计量模型

artificial intelligence levelcarbon emission inequalitytheil indexgreen innovationspa-tial econometric model

《技术与创新管理》 2026 (2)

150-158,9

陕西省社会科学基金项目"数字经济驱动陕西传统制造业转型升级的机制、效应与政策研究"(2023D044)西安石油大学本科教育教学改革研究项目"基于'思政引领+AI赋能'的人力资源管理专业人才培养模式创新与实践研究"(JGYB202518)西安石油大学研究生创新与实践能力培养计划资助项目"数实融合对黄河流域先进制造业企业新质生产力发展的影响研究"(YCX2522007)

10.14090/j.cnki.jscx.2026.0203

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