长江流域资源与环境 >> 2022, Vol. 31 >> Issue (2): 273-284.doi: 10.11870/cjlyzyyhj202202002

• 区域可持续发展 • 上一篇    下一篇

长三角地区城市绿色创新效率空间分异及影响因素

鲍  涵1,2,滕堂伟1,2*,胡森林1,2,丁  娟3    

  1. (1.华东师范大学中国现代城市研究中心,上海 200241;2. 华东师范大学国土开发与区域经济研究所,上海 200241;3.安徽大学商学院,安徽 合肥 230601)
  • 出版日期:2022-02-20 发布日期:2022-03-21

Spatial Differentiation and Influencing Factors of Urban Green Innovation Efficiency in Yangtze River Delta

BAO Han1,2,TENG Tang-wei1,2,HU Sen-lin1,2,DING Juan3   

  1. (1. The Centre for Modern Chinese City Studies, East China Normal University, Shanghai 200241, China;2. Institute of Spatial Planning and Regional Economy,East China Normal University, Shanghai 200241, China;3.Business School, Anhui  University, Hefei 230601, China)
  • Online:2022-02-20 Published:2022-03-21

摘要: 绿色创新是高质量发展的新动能,绿色创新效率空间分异事关长三角更高质量一体化。选取2006~2017年长三角地区41个地级及以上城市的数据,运用SBM模型测度城市绿色创新效率,利用Theil指数、Hurst指数等刻画绿色创新效率时空特征,并选择Tobit模型从“自然-经济-政策”3个维度系统定量探讨其影响机制,研究发现:(1)长三角地区城市绿色创新效率波动性上升,区域差异逐渐减小,区域协同发展态势明显。(2)长三角地区部分核心城市周围出现效率“洼地”,高效率分布区由自然禀赋优越区域向技术水平、产业结构高水平区域转变。(3)长三角中部城市绿色创新效率有逆持续下降风险,东部沿海地带及江苏省外圈各市成为主要持续增长区域,呈带状和环状分布。(4)经济要素和政策要素较自然要素对绿色创新效率的解释度更高,城市经济实力、产业结构和环境规制等因素的作用尤其明显,但各因素的作用均呈现出阶段性差异。这为制定因地制宜型创新驱动绿色发展政策、促进长三角地区更高质量一体化发展提供了科学支撑。

Abstract: Green innovation is a new driving force for high-quality development, and the spatial differentiation of green innovation efficiency is related to higher-quality integration in the Yangtze River Delta. This paper selects the data of 41 cities in the Yangtze River Delta from 2006 to 2017, uses the SBM model to measure the efficiency of urban green innovation, using Theil index and Hurst index to describe the temporal and spatial characteristics of green innovation efficiency, and selects the Tobit model from “environment-economy-policy” three dimensions to systematically discuss its influence mechanism. The result showed that: (1) The volatility of urban green innovation efficiency in the Yangtze River Delta region is rising, regional differences are gradually decreasing, and the regional coordinated development trend is obvious. (2) Efficient “depressions” has appeared around some core cities in the Yangtze River Delta, and high-efficiency distribution areas have transformed from regions with superior natural endowments to regions with high technical and industrial structure. (3) The green innovation efficiency of cities in the central part of the Yangtze River Delta is at risk of continuing to decline. The eastern coastal zone and the cities in the outer circle of Jiangsu Province are the main areas of continuous growth, which are distributed in bands and rings. (4) Economic factors and policy factors have a higher degree of explanation for green innovation efficiency than natural factors. Factors such as urban economic strength, industrial structure, and environmental regulations play a particularly significant role, but the effects of each factor show phased differences. This has provided scientific support for formulating innovation-driven green development policies tailored to local conditions and promoting higher-quality integrated development in the Yangtze River Delta.

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