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Spatial Durbin model regression results.

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NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://figshare.com/articles/dataset/Spatial_Durbin_model_regression_results_/27734561
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This study uses the non-expected SBM-DEM model of factor input-output to measure the green manufacturing efficiency of 274 cities at prefecture level and above in China. The relationship between digital economy and green manufacturing efficiency is analysed on this basis. It is found that the current coupling coordination between digital economy and green manufacturing efficiency is low overall, and there are obvious regional differences. And the digital economy has a significant positive impact on the green manufacturing efficiency of the region and the neighbouring regions, so the digital economy has a radiation effect on the green manufacturing efficiency. Among them, industrial agglomeration plays part of the mediating effect. Based on this conclusion, the following policy recommendations are proposed: first, accelerate the development of the digital economy to stimulate the new kinetic energy of urban green development. Second, implement differentiated development strategies, focusing on the leading role of green advanced cities. Third, deepen the convergence of industries and smooth the channels for green urban development.

本研究采用要素投入产出视角下的非期望SBM-DEM模型(non-expected SBM-DEM model),对中国274个地级及以上城市的绿色制造效率进行测算。在此基础上,分析数字经济与绿色制造效率之间的关联关系。研究发现,当前数字经济与绿色制造效率的整体耦合协调程度偏低,且存在显著的区域差异;数字经济对本地区及邻近地区的绿色制造效率均具有显著正向影响,表明数字经济对绿色制造效率具备辐射效应。其中,产业集聚发挥了部分中介效应。基于上述研究结论,本文提出如下政策建议:其一,加快数字经济发展,激发城市绿色发展新动能;其二,实施差异化发展战略,突出绿色先进城市的引领作用;其三,深化产业协同融合,畅通城市绿色发展渠道。
创建时间:
2024-11-14
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