摘要
以长三角城市群为研究对象,通过构建包含非期望产出的超效率SBM-DEA模型,对2010-2020年长三角城市群41个城市的工业绿色创新效率进行测度,考察其空间分布和动态演进情况。结果表明:①在时序发展上,长三角城市群工业绿色创新效率总体上呈波动上升趋势;②在空间演变上,绿色创新效率整体呈现空间不均衡分布,其中,东南区域和西北区域的绿色创新效率提升显著;③长三角城市群工业绿色创新效率总体呈正相关性,且存在显著的“高高—高效型”和“低低—低效型”各自集聚的空间结构特征,时空跃迁表现出较强的空间稳定性。
As one of the urban agglomerations with the highest level of economic development in China,the urban agglomerations of Yangtze River Delta has become an area with a high concentration of problems such as resource shortage,environmental pollution and ecological damage in promoting rapid development of industrialization and urbanization.Green innovation is an effective way to promote the sustainable development of urban agglomerations and coordinate the relationship between ecological civilization and economic growth.It is helpful to promote the green innovation development of urban agglomerations in the Yangtze River Delta by figuring out the temporal characteristics and evolution law of green innovation efficiency.Therefore,this study focuses on the urban agglomerations of the Yangtze River Delta,analyzes the spatial and temporal development characteristics and dynamic evolution process of their industrial green innovation efficiency,so as to further improve the industrial green innovation level of the urban agglomerations of the Yangtze River Delta,promote the differentiated development of various cities,and provide effective reference for promoting the construction of innovative urban agglomeration.In this study,41 cities in the Yangtze River Delta urban agglomerations are firstly taken as the research object to construct the industrial green innovation efficiency index system of the urban agglomerations of Yangtze River Delta.Secondly,the super-efficiency SBM-DEA model based on the undesired output is used to measure the industrial green innovation efficiency of the Yangtze River Delta urban agglomerations from 2010 to 2020.Through the construction of the inverse distance matrix,the global and local Moran's I are used to explore the spatial-temporal differentiation characteristics of industrial green innovation efficiency in the Yangtze River Delta urban agglomerations.Meanwhile,the Moran's I scatter plot is further analyzed according to the spatial-temporal analysis method,and the types and paths of its dynamic transitions are studied.The results show that the measurement results of industrial green innovation efficiency in the urban agglomerations of the Yangtze River Delta show a fluctuation trend of"W"in general from the perspective of time series development,and the overall green innovation level of the urban agglomeration of the Yangtze River Delta gradually improves,except that the efficiency value decreases significantly due to the impact of the epidemic in 2020.On the spatial evolution pattern,there is an uneven distribution of green innovation efficiency on the whole space,and high efficiency main cities are gathered in the southeast and northwest area,with more cities of high-high and low-low are of agglomeration types.Besides there is a positive correlation of efficiency in general,and its spatial correlation decreases with time series development.The spatial leap shows high spatial stability,and the"spillover effect"and"siphon effect"coexist,while there are clear spatial aggregation and mobility.Different from previous literatures,this study starts from the micro level of urban agglomeration in Yangtze River Delta.With the adjustment of national planning,the research object is expanded to 41 cities,enriching the research on urban agglomeration in the field of green innovation.At the same time,the influence of resource factors on green innovation efficiency is considered in the selection of input index.In terms of spatial auto-correlation analysis,the dynamic and transition analysis of industrial green innovation efficiency at urban agglomeration level is carried out,and the spatial evolution pattern of prefecture-level cities is analyzed as a unit,which has guiding significance for grasping the law of green innovation development in urban agglomeration.Future study is expected to explore the factors that affect the green innovation efficiency of the urban agglomerations of Yangtze River Delta,and analyze its spatial spillover effect on the green innovation efficiency.
作者
马志强
王琰
苏佳璐
Ma Zhiqiang;Wang Yan;Su Jialu(School of Management,Jiangsu University,Zhenjiang 212013,China)
出处
《科技进步与对策》
CSSCI
北大核心
2023年第7期57-67,共11页
Science & Technology Progress and Policy
基金
国家自然科学基金面上项目(72174076,71974081)
江苏省研究生科研与实践创新计划项目(KYCX22_3589)。
关键词
工业绿色创新效率
Super-SBM模型
动态跃迁
长三角城市群
时空特征
Industrial Green Innovation Efficiency
Super-SBM Model
Dynamic Transition
Urban Agglomerations of Yangtze River Delta
Spatial-temporal Characteristics