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| 生产性服务业集聚对碳排放效率的影响——基于长江经济带108个城市企业数据的分析 | |
| 引用本文： | 及添正,邓宏兵,张天铃.生产性服务业集聚对碳排放效率的影响——基于长江经济带108个城市企业数据的分析[J].资源科学,2023,45(1):31-47. |
| 作者姓名： | 及添正 邓宏兵 张天铃 |
| 作者单位： | 1.中国地质大学（武汉）经济管理学院，武汉 430074 2.湖北省区域创新能力监测与分析软科学研究基地，武汉 430074 |
| 基金项目： | 湖北省区域创新能力监测与分析软科学研究基地2022年开放基金项目(HBQY2022z01) |
| 摘 要： | 【目的】本文旨在测度生产性服务业微观企业集聚水平的基础上，分析其对于碳排放效率的影响方向与具体作用程度，为激发生产性服务业集聚的环境正外部性提供科学依据。【方法】首先，在集聚理论与熊彼特创新理论的基础上，从规模效应与技术效应两方面阐述了生产性服务业集聚对碳排放效率影响的作用机制。其次，从企业进入的角度出发，构建既反映宏观层面生产性服务业的“存量”集聚，又能体现微观企业进入动态性“增量”的生产性服务业复合加权集聚指数，并基于超效率SBM模型测算长江经济带碳排放效率。最后，建立动态空间杜宾模型与面板门槛模型对二者之间的关系进行实证检验。【结果】①长江经济带碳排放效率具有明显的正向空间溢出效应，在时间维度上具有路径依赖特征，前一期碳排放效率对于本期碳排放效率影响较大，呈现“雪球效应”。②生产性服务业集聚与碳排放效率之间存在正“U”型关系。无论是直接效应还是溢出效应，生产性服务业集聚对碳排放效率的作用均会由负转正。相对于短期效应，长期效应更为显著。③产业结构、技术创新与市场化三大约束机制均表现出显著的单门槛特征。产业结构高级化、技术创新显著提升了生产性服务业集聚对碳排放效率的促进作用，而市场化水平的提升则有利于缓解生产性服务业集聚对碳排放效率的不利影响。【结论】基于正“U”型曲线的分析结果，提出了基于影响机制与约束机制作用下，促进长江经济带低碳发展的建议。 |
| 关 键 词： | 生产性服务业集聚 碳排放效率 正“U”型曲线 企业进入 复合加权集聚度 动态空间杜宾模型 长江经济带 |
| 收稿时间： | 2022-11-29 |
| 修稿时间： | 2023-01-02 |
Impact of producer services agglomeration on carbon emission efficiency: An analysis based on the data of enterprises in 108 cities of the Yangtze River Economic Belt |
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| JI Tianzheng,DENG Hongbing,ZHANG Tianling.Impact of producer services agglomeration on carbon emission efficiency: An analysis based on the data of enterprises in 108 cities of the Yangtze River Economic Belt[J].Resources Science,2023,45(1):31-47. | |
| Authors: | JI Tianzheng DENG Hongbing ZHANG Tianling |
| Institution: | 1. School of Economics and Management, China University of Geosciences (Wuhan), Wuhan 430074, China 2. Soft Science Research Base for Regional Innovation Capability Monitoring and Analysis in Hubei Province, Wuhan 430074, China |
| Abstract: | Objective] The purpose of this research is to measure the micro-enterprise agglomeration of producer services, analyze its impact direction and specific degree on carbon emission efficiency, and provide scientific basis for stimulating the positive externality of the environment of producer services agglomeration. Methods] First, on the basis of agglomeration theory and Schumpeter’s innovation theory, this paper expounds the mechanism of the impact of producer service industries agglomeration on carbon emission efficiency from the aspects of scale effect and technology effect. Secondly, from the perspective of enterprises entry, this research build a composite weighted agglomeration index of producer services that reflects both the “stock” agglomeration of producer services at the macro level and the dynamic “increment” of the entry of micro-enterprises. Finally, the carbon emission efficiency of the Yangtze River Economic Belt is calculated based on the super-efficiency SBM model, and the dynamic spatial Dubin model and panel threshold model are established to empirically test the relationship between the agglomeration of producer services and carbon emission efficiency. Results] The findings indicate that: (1) The Yangtze River Economic Belt’s carbon emission efficiency has a clear positive spatial spillover effect and a path-dependent feature in time dimension. The carbon emission efficiency of a previous period has a great impact on the carbon emission efficiency of the current period, presenting a “snowball effect”. (2) There is a positive U-shaped relationship between the agglomeration of producer services and carbon emission efficiency. Both the direct effect and the spillover effect of producer services agglomeration on carbon emission efficiency will change from negative to positive. Compared with short-term effects, long-term effects are more significant. (3) The three constraining mechanisms of industrial structure, technological innovation, and marketization all show significant single threshold characteristics. The upgrading of industrial structure and technological innovation significantly enhances the role of producer services agglomeration in promoting carbon emission efficiency, while the improvement of marketization level is conducive to mitigating the adverse impact of producer services agglomeration on carbon emission efficiency. Conclusion] Finally, based on the analysis results of the positive U-shaped curve, this study put forward recommendations for promoting the low-carbon development of the Yangtze River Economic Belt under the influence and constraint mechanisms. |
| Keywords: | agglomeration of producer services carbon emission efficiency positive “U” curve enterprises entry composite weighted agglomeration degree dynamic spatial Dubin model Yangtze River Economic Belt |
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