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人工智能、产业集聚外部性与长江经济带碳排放效率

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长江经济带既是具有重大引领带动作用的人工智能应用创新高地,也是绿色低碳发展的先行区.采用 2012-2019 年长江经济带 108 个地级及以上城市面板数据,以工业机器人安装密度表征人工智能应用水平,从产业集聚及集聚外部性视角考察人工智能应用对长江经济带碳排放效率的影响.研究发现:人工智能有助于长江经济带碳排放效率提升;异质性分析表明,人工智能可以带动长江经济带下游地区城市碳排放效率提升但对上游和中游地区城市作用不显著,人工智能可以带动低碳试点城市碳排放效率提升但对非低碳试点城市的作用不显著;影响渠道分析表明,人工智能可以通过产业专业化集聚来带动碳排放效率提升,具体而言,人工智能可以通过产业专业化集聚的知识溢出效应、中间品投入共享效应来提升碳排放效率.上述结论意味着,应因地制宜发展人工智能技术,加强适宜性产业集聚,构建长江经济带绿色低碳产业体系.
Artificial Intelligence,Industrial Agglomeration Externalities and Carbon Emission in the Yangtze River Economic Belt
The Yangtze River Economic Belt is not only a highland for artificial intelligence application innovation with significant leading and driving effects,but also a leading area for green and low-carbon development.Using panel data from 108 prefecture level cities and above in the Yangtze River Economic Belt from 2012 to 2019,the level of arti-ficial intelligence application is measured by the installation density of industrial robots.The impact of artificial intelli-gence application on carbon emission efficiency in the Yangtze River Economic Belt is examined from perspectives of in-dustrial agglomeration and agglomeration externalities.Research has found that artificial intelligence can help improve car-bon emission efficiency in the Yangtze River Economic Belt;Heterogeneity analysis shows that artificial intelligence can drive the improvement of carbon emission efficiency in cities in the lower reaches of the Yangtze River Economic Belt,but its effect on cities in the upper and middle reaches is not significant.Artificial intelligence can improve carbon emis-sion efficiency in low-carbon pilot cities,but its effect on non-low-carbon pilot cities is not significant;The analysis of impact channels shows that artificial intelligence can drive the improvement of carbon emission efficiency through industrial specialization clustering.Specifically,artificial intelligence can improve carbon emission efficiency through the knowledge spillover effect of industrial specialization clustering and the sharing effect of intermediate goods input.This suggests that artificial intelligence technology should be developed according to local conditions,and suitable industrial clusters should be strengthened to build a green and low-carbon industrial system in the Yangtze River Economic Belt.

artificial intelligenceindustrial agglomerationspecialized agglomerationdiversified agglomerationcarbon emission efficiency

叶云岭、张其仔

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中国社会科学院工业经济研究所

人工智能 产业集聚 专业化集聚 多样化集聚 碳排放效率

国家自然科学基金中国社科院学科建设登峰战略区域经济学重点项目

72140001

2024

南通大学学报(社会科学版)
南通大学

南通大学学报(社会科学版)

CSSCICHSSCD北大核心
影响因子:0.483
ISSN:1673-2359
年,卷(期):2024.40(2)
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