长江流域资源与环境 >> 2024, Vol. 33 >> Issue (2): 254-270.doi: 10.11870/cjlyzyyhj202402003

• 区域可持续发展 • 上一篇    下一篇

长三角绿色低碳循环发展的创新驱动机理及效应识别

田时中,童梦梦   

  1. (安徽大学经济学院,安徽 合肥 230601)
  • 出版日期:2024-02-20 发布日期:2024-03-06

Innovation Driving Mechanism and Effect Identification of  Green and Low-carbon Circular Development in Yangtze River Delta

TIAN Shi-zhong, TONG Meng-meng   

  1. (School of Economics, Anhui University, Hefei 230601, China)
  • Online:2024-02-20 Published:2024-03-06

摘要: 探究绿色技术创新如何驱动长三角绿色低碳循环发展,有利于加快实现长三角高质量一体化发展目标。基于多维指标体系和主成分分析方法,测度长三角41个城市绿色低碳循环发展指数,运用广义最小二乘法、空间面板和门槛模型,实证检验绿色技术创新对长三角绿色低碳循环发展的驱动机理及其效应,研究发现:(1)从基准回归结果看,绿色技术创新显著促进长三角绿色低碳循环发展,且存在区域异质性。产业结构升级、政府竞争和人力资本水平在绿色技术创新对长三角绿色低碳循环发展的影响中发挥正向调节作用。(2)从空间效应来看,绿色技术创新对长三角绿色低碳循环发展存在正向空间相关和空间溢出效应。(3)从门槛效应来看,随着金融发展水平的提升,绿色技术创新对长三角绿色低碳循环发展的促进作用不断增强。以上结论,对于加快长三角绿色低碳循环发展和一体化进程,具有重要的政策启示。

Abstract: Exploring how green technology innovation drives the green and low-carbon circular development of the Yangtze River Delta is conducive to accelerating the realization of the high-quality integrated development goal of the Yangtze River Delta. Based on the multi-dimensional index system and principal component analysis method, the green and low-carbon circular development index of 41 cities in the Yangtze River Delta was measured. The generalized least square method, spatial panel and threshold model were used to empirically test the driving mechanism and effect of green technology innovation on the green and low-carbon circular development of the Yangtze River Delta. The findings were as follows: (1) From the perspective of benchmark regression, green technology innovation significantly promoted the green and low-carbon circular development of the Yangtze River Delta, and there was regional heterogeneity. The upgrading of industrial structure, government competition and human capital played a positive moderating role in the impact of green technology innovation on the green and low-carbon circular development. (2) From the perspective of spatial effect, green technology innovation had positive spatial correlation and spatial spillover effect on the green and low-carbon circular development. (3) From the perspective of threshold effect, with the improvement of the financial development, the promoting role of green technology innovation on the green and low-carbon circular development of the Yangtze River Delta was constantly enhanced. The above conclusions had important policy implications for accelerating the green and low-carbon circular development and integration process of the Yangtze River Delta.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] 滕家喜, 周志翔, 李晨, 胡兴宜, 孙启祥. 石首市抑螺防病林空间布局优化研究[J]. 长江流域资源与环境, 2018, 27(07): 1430 .
[2] 王锐, 余涛, 杨忠芳, 侯青叶, 曾庆良, 马宏宏. 富硒土壤硒生物有效性及影响因素研究[J]. 长江流域资源与环境, 2018, 27(07): 1460 .
[3] 付书科, 李小帆, 彭甲超, 张子悦, 陈 思. 基于动态因子分析法的长江三角洲城市群城镇化质量测度研究[J]. 长江流域资源与环境, 2018, 27(09): 1909 -1918 .
[4] 刘菊 傅斌 张成虎 胡治鹏 王玉宽. 基于InVEST模型的岷江上游生态系统水源涵养量与价值评估[J]. 长江流域资源与环境, , (): 0 .
[5] 张玉韩 吴尚昆 董延涛. 长江经济带矿产资源开发空间格局优化研究[J]. 长江流域资源与环境, , (): 0 .
[6] 李 娟, 董 平, 陆玉麒, 王 毅, 郭 政.  

中原经济区人口与经济空间格局演变研究 [J]. 长江流域资源与环境, 2018, 27(10): 2222 -2231 .

[7] 李 述, 葛 刚, 刘琪璟.  

基于主体功能区规划的江西省城镇化协调发展研究 [J]. 长江流域资源与环境, 2018, 27(10): 2250 -2259 .

[8] 孔锋, 杨萍, 王品, 吕丽莉, 孙劭. 中国灾害性对流天气日数的时空变化特征[J]. 长江流域资源与环境, 2018, 27(11): 2518 -2528 .
[9] 查凯丽, 刘艳芳, 孔雪松, 田雅丝, 刘耀林, . 村镇路网通达性与空间出行研究——以武汉市李集镇为例[J]. 长江流域资源与环境, 2018, 27(12): 2663 -2672 .
[10] 起永东, 何明琼, 郑永宏, 高 洁, 王 丹, 孔繁希. 汉江流域降水结构时空特征及影响因素分析[J]. 长江流域资源与环境, 2018, 27(12): 2830 -2838 .