长江流域资源与环境 >> 2024, Vol. 33 >> Issue (9): 1874-1887.doi: 10.11870/cjlyzyyhj202409004

• 区域可持续发展 • 上一篇    下一篇

城市工业生态集聚空间分异驱动因子及溢出效应研究——基于长江上游地区33城市的实证分析

李益1, 罗胤晨2,李兆辉3, 文传浩4   

  1. (1.东南大学经济管理学院,江苏 南京 211189;2. 西南石油大学经济管理学院 四川 成都 610500;3. 西南财经大学经济学院 四川 成都 611130;4.云南大学经济学院,昆明 650500)
  • 出版日期:2024-09-20 发布日期:2024-09-23

Spatial Differentiation of Driving Factors and Spillover Effects of Urban Industrial Ecological Agglomeration: An Empirical Analysis Based on 33 Cities in the Upper Reaches of the Yangtze River

LI Yi1, LUO Yin-chen2, LI Zhao-hui3, WEN Chuan-hao4   

  1. (1. School of Economic and Management, Southeast University, Nanjing 211189, China; 2. School of Economics and Management, Southwest Petroleum University, Chengdu 610500, China; 3. School of Economics, Southwest University of Finance and Economics, Chengdu 611130, China; 4.School of Economics, Yunnan University, Kunming 650500, China)
  • Online:2024-09-20 Published:2024-09-23

摘要: 长江上游地区是支撑我国腹地经济的重要区域,在经济高质量发展与生态环境保护协同发展的深化阶段,工业生态集聚是其工业转型的重要路径。依据工业生态集聚的内涵,从工业规模化集聚、创新化集聚和绿色化集聚三大维度构建工业生态集聚指标体系,利用2009~2019年长江上游地区33个城市的面板数据,运用改进的熵值法、地理探测器分析长江上游地区工业生态集聚空间差异特征及其驱动因子,并利用空间计量模型探究其空间溢出效应。研究表明:(1)长江上游地区工业生态集聚水平逐年增强,具有“中心-外围”梯度式递减扩散的分布特征,呈现“东北区域高、西南区域低”的空间格局;(2)长江上游地区工业生态集聚系统内部绝大多数驱动因子通过显著性检验,按照作用强度均值排序依次为工业创新化集聚因子驱动力>工业规模化集聚因子驱动力>工业绿色化集聚因子驱动力;(3)长江上游地区工业生态集聚系统内部不同驱动因子两两之间的交互作用均呈现增强关系,且双因子增强关系的交互结果多于非线性增强关系的交互结果;(4)长江上游地区工业生态集聚存在空间溢出效应,环境规制、信息化水平、社会保障水平及交通基础设施建设对其具有显著的促进作用,且产业结构和社会保障水平具有外生交互效应。

Abstract: The upper reaches of the Yangtze River is an important region supporting China's hinterland economy. At the stage of the synergistic development of high-quality economic development and ecological environmental protection, industrial ecological agglomeration is an important path for industrial transformation. On the basis of the connotation of industrial ecological agglomeration, this paper constructed the industrial ecological agglomeration index system from three dimensions of industrial scale agglomeration, innovative agglomeration, and green agglomeration. Based on the panel data of 33 cities in the upper Yangtze River region from 2009 to 2019, the improved entropy method and geographical detector were used to analyze the spatial difference characteristics and associated driving factors of industrial ecological agglomeration. The spatial econometric model was used to explore the spatial spillover effects. The results showed that: (1) The industrial ecological agglomeration level in the study area increased year by year, with a distribution characteristics of "center-periphery" gradient and decreasing diffusion, and presented a spatial pattern of "high in the northeast region and low in the southwest region". (2) Most of the driving factors in the industrial ecological agglomeration system passed the significance test. The strength of the driving forces from stronger to weaker was in the order of industrial innovation agglomeration factor > industrial scale agglomeration factor > industrial green agglomeration factor. Among them, the strength of the influence of industrial green agglomeration factor was much lower than that of industrial scale and innovation agglomeration factor. (3) The interaction between different driving factors in the industrial ecological agglomeration system showed an enhanced relationship. The interaction results of the two-factor enhanced relationship were more abundant than those of the nonlinear enhanced relationship. (4) There was a spatial spillover effect of industrial ecological agglomeration in the upper reaches of the Yangtze River. The environmental regulation, informatization level, social security level and transportation infrastructure construction were shown to have significant driving effects,  and the industrial structure and social security level demonstrated exogenous interaction effects.

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