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大数据试验区建设助推经济绿色发展的机制与实现路径

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数字经济是推动经济结构转型、实现经济绿色发展的全新动能.综合运用EBM模型、双重差分模型等,以国家级大数据综合试验区设立为准自然实验,基于中国271个地级及以上城市面板数据,实证检验了大数据试验区建设对经济绿色发展的影响.研究结果表明:(1)大数据试验区的建设显著促进了经济绿色发展,经过一系列稳健性检验后依旧显著;(2)机制检验发现,地区创新水平与产业协同集聚在主回归中发挥中介效应;(3)异质性分析表明,大数据试验区建设对经济绿色发展的助推作用在地理区位、人力资本水平、城镇化水平不同的地区影响效果不同.通过分析得出了大数据试验区建设助推经济绿色发展的作用机制,提出了完善西部地区数字基础设施的建设、加大科研资金投入等对策建议,以期对当前研究有一定借鉴意义.
The mechanism and realization path of big data pilot zone construction for promoting green development of economy
The digital economy is a new driving force for economic structural transformation and green development of economy.Based on the panel data of 271 cities at or above the prefecture level in China,this paper empirically tests the impact of the construction of big data pilot zone on green development of economy by using EBM model and difference-difference model.The results show that:(1)The construction of big data pilot zone has significantly promoted the green development of economy,which is still significant after a series of robustness tests;(2)The mechanism test shows that regional innovation level and industrial synergistic agglomeration play a mediating effect in the main regression;(3)Heterogeneity analysis shows that the boosting effect of big data pilot zone construction on green development of economy is different in regions with different geographical location,human capital level and urbanization level.Through the analysis of the mechanism of the big data pilot zone construction for promoting the green development of economy,this paper put forward to improve the construction of digital infrastructure in the western region,increase the investment of scientific research and other countermeasures and suggestions,hoping to provide certain reference for the current research.

national big data comprehensive pilot zonegreen total factor productivityregional innovation levelindustrial collaborative agglomeration

高玉婷、李波

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中南民族大学 经济学院,武汉 430074

国家大数据综合试验区 绿色全要素生产率 地区创新水平 产业协同集聚

教育部哲学社会科学研究重大课题攻关项目

21JZD028

2024

中南民族大学学报(自然科学版)
中南民族大学

中南民族大学学报(自然科学版)

影响因子:0.536
ISSN:1672-4321
年,卷(期):2024.43(2)
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