空间关联与溢出效应：工业生态创新对资源环境承载力的影响研究

王  娟1; 2; 胡  洋2

空间关联与溢出效应：工业生态创新对资源环境承载力的影响研究

引用本文：王娟1,2 ,胡洋2.空间关联与溢出效应：工业生态创新对资源环境承载力的影响研究[J].财经理论与实践,2020,(1):117-124

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作者	单位
王娟1,2 ,胡洋2	（1.湖南工商大学创新创业创意研究院，湖南长沙 410205； 2.湖南工商大学经济与贸易学院，湖南长沙 410205)

中文摘要:采用DEA-SBM模型测算各省市工业生态创新效率，信息熵技术度量各地资源环境承载力水平，空间Durbin模型和偏微分方法分析二者空间关联及溢出效应。研究发现：四种不同空间权重矩阵下的工业生态创新效率直接、间接与总效应系数都为正，并通过1%显著性检验，由此证明工业生态创新是资源环境承载力提升的主要因素之一。此外，区域内的人口密度、环境规制及开发强度对资源环境承载力具有显著正向影响；城镇化水平、对外开放水平与科技水平具有显著负向影响。

中文关键词:工业生态创新资源环境承载力空间关联溢出效应

Spatial Correlation and Spatial Spillover Effects: A Study on the Impact of Industrial Ecological Innovation on Resource and Environmental Carrying Capacity

Abstract:The DEA-SBM model is used to measure the industrial ecological innovation efficiency of each province, the information entropy technology measures the resource environmental carrying capacity level, the Spatial Durbin model and the partial differential method analyze the spatial correlation characteristics and evolving law. The study finds that the direct, indirect and total effect coefficients of industrial ecological innovation efficiency under four different spatial weight matrices are positive, and pass the 1% significance test, which proves that industrial ecological innovation is the main factor to improve the resource and environmental carrying capacity. In addition, the province's population density, environmental regulation and regional development intensity have a significant positive impact on resource and environmental carrying capacity; urbanization level, opening level and technology level have a significant negative impact.

keywords:industrial ecological innovation resource and environmental carrying capacity spatial correlation spatial spillover effect

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