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绿色创新环境与工业转型升级耦合区域差异与收敛性分析
引用本文:张弘滢,耿成轩.绿色创新环境与工业转型升级耦合区域差异与收敛性分析[J].科技进步与对策,2021,38(10):36-45.
作者姓名:张弘滢  耿成轩
作者单位:(南京航空航天大学 经济与管理学院,江苏 南京 213300)
基金项目:国家社会科学基金一般项目;中央高校基本科研业务费前瞻性发展策略研究基金项目
摘    要:基于创新环境-转型升级耦合视角,采用TOPSIS熵权法、耦合协调度模型和非线性时变因子模型,分析2007-2017年中国内地30个省市区绿色创新环境与工业转型升级耦合关系的演进特征。结果发现:①2007年以来中国绿色创新环境与工业转型升级耦合度整体虽有提高之势,但协调度仍然较低,且耦合协调等级没有发生明显跃迁,并呈现由东部向西部递减态势;②区域间差异是系统耦合协调度差距的主要来源,在地区差异多极化发展趋势下其波动存在4个潜在收敛俱乐部,呈现出地理“区块链”收敛趋势;③采用QAP方法对地区耦合度差异影响因素进行检验发现,地区经济发展差异、信息化水平差异、教育水平差异和城镇化水平差异是主要原因,而地理位置邻近、俱乐部收敛发展趋势有利于缩小地区耦合发展差异。

关 键 词:绿色创新环境  工业转型升级  耦合协调度  俱乐部收敛  QAP  
收稿时间:2020-12-03

Analysis on the Regional Difference and Convergence of the Coupling of Green Innovation Environment and Industrial Transformation and Upgrading
Zhang Hongying,Geng Chengxuan.Analysis on the Regional Difference and Convergence of the Coupling of Green Innovation Environment and Industrial Transformation and Upgrading[J].Science & Technology Progress and Policy,2021,38(10):36-45.
Authors:Zhang Hongying  Geng Chengxuan
Institution:(School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 213300,China)
Abstract:Based on the innovation environment-transformation and upgrading coupling perspective, using TOPSIS entropy weight method, coupling coordination degree model, and nonlinear time-varying factor model to analyze the coupling relationship between the green innovation environment and industrial transformation and upgrading in 30 provinces and cities in China from 2007 to 2017 Evolution characteristics, research found:①Since 2007, although the overall coupling degree of China's green innovation environment and industrial transformation and upgrading has improved, the degree of coordination is still low, and the level of coupling coordination has not undergone a significant transition, and the coupling level has shown a downward trend from east to west.②Inter-regional differences are the main source of the gap in the degree of system coupling and coordination.Under the development trend of regional differences and multi-polarization, there are 4 potential convergence clubs in its development trend, showing a geographic "blockchain" convergence trend.③The QAP method was further used to test the factors affecting the differences in regional coupling, and it was found that the differences in regional economic development, informatization level, education level, and urbanization level were the main reasons, while the geographical proximity and club convergence development trends are conducive to narrowing the differences in regional coupling development.
Keywords:Green Innovation Environment  Industrial Transformation and Upgrading  Coupling Coordination Degree  Club Convergence  QAP  
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