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数字经济赋能长江三角传统制造业绿色发展的耦合效应测度与共生路径研究 被引量:1

Research on the Coupling Effect Measurement and Symbiotic Path of the Green Development of Traditional Manufacturing Industry Empowering by Digital Economy in Yangtze River Delta
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摘要 【目的/意义】随着中国经济社会全面进入数字经济时代,作为国民经济支柱的传统制造业正面临产业升级和低碳转型两大挑战,而数字化转型是应对重重挑战的最佳途径。【设计/方法】基于技术社会形成理论从传统制造业基础支撑力、数字产业发展保障力、绿色产业生态资源承载力三个维度构建耦合发展评价模型;基于共生理论构建产业共生集聚度指标,并运用熵值法测算长江三角2013~2019年传统制造业、数字产业与绿色产业的耦合度与共生集聚效应。【结论/发现】目前IT技术创新能力和产业布局结构对长三角地区传统制造业与绿色产业的耦合聚集产生较大的影响,因此长三角传统制造业需要构建创新生态系统,加大低碳共性技术的研发与投资、改善能源消费结构、利用数字技术改造传统制造业高能耗的生产方式实现“低碳发展与产业升级”的双转型。 [Purpose/Significance]As China’s economy and society enter the era of digital economy,the traditional manufacturing industry,which is the pillar of national economy,is facing two challenges of industrial upgrading and low carbon transformation.Digital transformation is the best way to cope with the heavy challenges.[Design/Methodology]This paper constructs a coupled development evaluation model based on the social shaping of technology from three dimensions:the basic support power of traditional manufacturing industry,the guarantee power of digital industry development,and the ecological resource bearing power of green industry.Based on symbiosis theory,the symbiotic agglomeration index of industries is constructed and the entropy theory is applied to measure the coupling degree and symbiotic agglomeration effect of traditional manufacturing industry,digital industry and green industry in Yangtze River Delta region from 2013 to 2019.[Conclusions/Findings]The empirical analysis finds that the current IT technology innovation capacity and industrial layout structure have a greater impact on the coupling of traditional manufacturing industries and green industries in the Yangtze River Delta region.Therefore,the traditional manufacturing industries in the Yangtze River Delta region need to build an innovation ecosystem,increase investment in low-carbon technologies research and development,improve the energy consumption structure,and use digital technology to transform the high energy consumption production methods of traditional manufacturing industries to achieve the dual transformation of“low-carbon development and industrial upgrading”.
作者 柳毅 赵轩 边怀良 LIU Yi;ZHAO Xuan;BIAN Huai-liang(Hangzhou Dianzi University,Hangzhou 310018 China)
出处 《电子科技大学学报(社科版)》 2022年第2期78-85,112,共9页 Journal of University of Electronic Science and Technology of China(Social Sciences Edition)
基金 国家社会科学基金项目(20BJY092).
关键词 数字经济 传统制造业 绿色发展 技术社会形成理论 耦合 共生 熵值法 digital economy traditional manufacturing industry green development the social shaping of technology coupling symbiosis entropy theory
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