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数字生态文明建设中制度创新的力量:政策协同赋能的视角

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加快建设绿色智慧的数字生态文明,是国家推动"美丽中国"和"数字中国"双重战略的关键举措.本文在构建城市数字生态文明指数的基础上,以低碳城市试点和"宽带中国"战略构造双边政策协同赋能的准自然实验,基于中国2011-2021年282个地级市面板数据及双重机器学习模型,考察绿色数字政策助力数字生态文明建设的协同机制及多维效应.结果发现:①绿色数字政策对数字生态文明建设具有明显的协同共促效应,且相较于单一政策,复合政策的赋能效果更为明显,以上结论在一系列稳健性和内生性检验后依旧成立.②绿色数字政策不仅能直接实现数字生态文明建设的"绿色—数字"双轮制度创新驱动,还可以通过经济结构优化、数字环境培育和生态保护引导等渠道间接助力数字生态文明建设.③对于经济基础较好和财政分权水平较低、数字产业发展和产业数字应用较低、非资源型和老工业基地城市,以及采取"先绿色后数字"组合政策的城市,绿色数字政策协同赋能数字生态文明的积极效果更为突出.④中国现阶段数字生态文明整体水平还不高,尚具有较大的提升空间,且城市间的数字生态文明差距呈现扩大趋势,而绿色数字政策不仅是协同推动数字生态文明建设的重要动力,也是有效助推数字生态文明发展跨越"马太效应"陷阱的决定因素.本文研究为新发展格局下政府加强"绿色—数字"政策协调配合、深度挖掘多维政策统筹合力、科学加快推进绿色智慧的数字生态文明建设提供了重要启示.
The Power of Institutional Innovation in the Construction of Digital Ecological Civilization:A Perspective of Policy Synergy Empowerment
Accelerating the construction of a green and intelligent digital ecological civilization(DEC)is crucial for advancing the dual strategies of"Beautiful China"and"Digital China".However,this topic has received insufficient academic attention,with theoretical research significantly lagging behind practical demands.Based on scientifically measuring the development of DEC,this paper explores the theoretical relationships and practical connections between green-digital policy synergy and the construction of DEC.This paper,based on the construction of an urban DEC index,employs a quasi-natural experiment involving the dual policy synergy of the low-carbon city pilot and the"Broadband China"strategy.Utilizing the panel data from 282 prefecture-level cities in China from 2011 to 2021,this paper employs a dual machine learning model to empirically examine the synergistic mechanisms and multidimensional effects of these policies in facilitating the construction of DEC.The findings reveal that the green-digital policies have a significant synergistic and promotional effect on the construction of DEC,with the compound policies demonstrating more pronounced empowerment effects compared with the single policies.These conclusions remain robust after a series of robustness checks and endogeneity tests.Meanwhile,the green-digital policies not only directly drive the"green-digital"dual-wheel institutional innovation in the construction of DEC but also indirectly support it through optimizing economic structures,fostering digital environments,and guiding ecological protection.Further analysis indicates that the positive effects of the green-digital policy synergy are more prominent in cities with better economic foundations,lower fiscal decentralization,lower digital industry development and industrial digital application,non-resource-based and old industrial base cities,and those adopting a combined policy"green-first,digital-second".Moreover,the current overall level of DEC in China remains relatively low,with significant room for improvement.The DEC disparity among cities shows a widening trend.Green-digital policies are not only a crucial driving factor for synergistically promoting the construction of DEC but also a determining factor in overcoming the"Matthew effect"trap.This paper provides important insights for governments to strengthen the green-digital policy synergy,tap into the synergy of multidimensional policy integration,and scientifically accelerate the construction of a green and intelligent DEC under the new development paradigm.Potential innovations of this paper are as follows.Firstly,it constructs a DEC index system for the first time and measures digital ecological civilization at the prefecture-level city,thus expanding the research boundaries.Secondly,it systematically constructs a theoretical framework of green-digital policy synergy empowerment by integrating"economy-technology-ecology",and innovatively regards these policies represented by low-carbon city pilot and the"Broadband China"strategy as a compound quasi-natural experiment,systematically evaluating its influence mechanisms and effects on urban DEC in multiple dimensions including direct,indirect,and heterogeneous impacts.Thirdly,it employs the frontier econometric model of double machine learning for empirical characterization,which can avoid control variable redundancy and model misspecification issues,enhancing the accuracy and credibility of research results on policy empowerment.This paper enriches bilateral research on policy synergy empowerment and DEC construction,providing theoretical insights and decision-making references for accelerating the construction of ecological civilization from a new perspective of institutional innovation synergy.

green-digital policiescollaborative promotiondigital ecological civilizationdual machine learning

韩先锋、勾亚楠、肖远飞、李勃昕

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昆明理工大学管理与经济学院

西安财经大学经济学院

绿色数字政策 协同推进 数字生态文明 双重机器学习

2024

中国工业经济
中国社会科学院工业经济研究所

中国工业经济

CSTPCDCSSCICHSSCD北大核心
影响因子:2.932
ISSN:1006-480X
年,卷(期):2024.(11)