国家级大数据综合试验区促进数字化绿色化协同发展研究
作者:
作者单位:

1. 中国社会科学院 数量经济与技术经济研究所,北京 100732;2. 中国社会科学院大学 应用经济学院,北京 102488

中图分类号:

F069.9

基金项目:

国家自然科学基金青年项目“中国清洁生产环境规制的减污降碳协同效应、机制与路径研究”(72303239);中国社会科学院经济大数据与政策评估实验室(2024SYZH004);国家自然科学基金面上项目“碳中和目标下清洁能源省域消纳机理及路径研究:基于多尺度空间视角”(72173133);中国社会科学院2023年度制度基础研究项目“面向碳达峰碳中和的绿色低碳先进技术分类识别、国际比较与支持政策研究”(23ZKJC074)


Research on national big data comprehensive pilot zones empowering digitalization and green collaborative development
Author:
Affiliation:

1. Institute of Quantitative & Technical Economics, Chinese Academy of Social Sciences, Beijing100732, P. R. China;2. School of Applied Economics, University of Chinese Academy of Social Sciences, Beijing102488, P. R. China

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    摘要:

    加快数字化绿色化协同是高质量发展的内在要求,也是数字生态文明建设的重要途径。数字经济政策是否在促进数字化的同时实现了地区绿色化协同转型?这是一个热点问题。文章在分别构建中国省级层面数字化与绿色化发展评价指标体系的基础上,运用耦合协调度模型测算了中国2012—2020年30个省份数字化绿色化协同发展指数,并对其变动特征及区域差异进行分析。进一步,基于国家级大数据综合试验区(简称“大数据试验区”)的准自然实验,对数字经济政策是否实现了数字化绿色化协同发展进行实证检验,并对其内在机制及异质性进行深入剖析。研究发现:各省份数字化、绿色化发展水平均逐年提升,但总体水平不高,且地区差距明显;各省份数字化绿色化协同发展水平均不断提高,但整体水平有待提升,仅有北京、广东、上海、江苏等四省市耦合协调度高于0.7,达中度协调及以上水平,另有22个省份耦合协调度不足0.5,未达协调水平。基准回归显示,大数据试验区的设立显著地促进了数字化发展、绿色化发展以及数字化绿色化协同发展水平。机制检验表明:(1)大数据试验区通过数字产业化、产业数字化两条渠道促进了省级数字化发展,通过绿色创新促进了绿色化发展。(2)数字化与绿色化存在循环互促机制,体现了数字化绿色化协同发展的底层逻辑,具体地,“数字化赋能绿色化”是通过数字基础设施建设促进绿色创新和绿色生产,以及数字创新能力促进绿色创新的积极作用实现的;“绿色化牵引数字化”则是通过绿色创新对数字基础设施和数字技术的需求牵引效应实现。(3)大数据试验区强化了绿色发展的数字化效应;但未强化数字发展的绿色化效应,原因在于,大数据试验区提高了绿色创新能力,进而刺激对数字基础设施和数字技术的需求,增强绿色发展对数字化发展的牵引效果;但由于数字产业化和产业数字化未能推动生产绿色化转型,导致大数据试验区未能强化数字发展对绿色发展的赋能效应。(4)异质性分析表明,在知识吸收能力更强、产业结构高级化水平更高的地区,大数据试验区建设对数字化绿色化协同发展的促进作用更明显。

    Abstract:

    Accelerating the synergy between digitalization and green transformation is an intrinsic requirement for high-quality development and an important pathway for constructing a digital ecological civilization. A pressing question is whether digital economy policies are facilitating digitalization while simultaneously achieving regional green transformation. This study constructs evaluation indices for digitalization and green transformation at the provincial level in China. Based on a coupling and coordination model, the study calculates the digitalization-greenization synergism development index (DGSDI) for 30 provinces in China from 2012 to 2020, analyzing its variation characteristics and regional differences. Additionally, employing a quasi-natural experiment of national big data comprehensive pilot zones, the study empirically tests whether digital economy policies have achieved synergistic development in digitalization and green transformation and delves into their internal mechanisms and heterogeneity. The findings reveal: 1) Both digitalization and green transformation levels in provinces have improved annually, yet the overall levels remain low with clear regional disparities. The synergistic development level of digitalization and green transformation has continuously increased, yet it remains low overall. Only Beijing, Guangdong, Shanghai, and Jiangsu have a coupling coordination degree above 0.7, reaching a moderate coordination level, while 22 other provinces have a degree below 0.5, not reaching the coordination level.2) The establishment of big data pilot zones significantly promotes the levels of digitalization, green transformation, and their synergistic development.3) Mechanism testing shows that: firstly, big data pilot zones have promoted provincial-level digital development through two channels: digital industrialization and industrial digitization, promoting green development through green innovation. Secondly, there exists a circular and mutually reinforcing mechanism between digitalization and greening, which is the underlying logic of the coordinated development of digitalization and greening. Specifically, digitalization empowers greening by promoting green innovation and production through digital infrastructure construction, as well as the positive role of digital innovation capabilities in promoting green innovation; Greening driven digitization is achieved through the demand driven effect of green innovation on digital infrastructure and digital technology. Thirdly, big data pilot zones have strengthened the digital effect of green development, but has not strengthened the green effect of digital development. The reason is that big data pilot zones have improved green innovation capabilities, thereby stimulating demand for digital infrastructure and technology, and enhancing the traction effect of green development on digital development; However, due to the failure of digital industrialization and industrial digitization to promote the green transformation of production, big data pilot zones have failed to strengthen the empowering effect of digital development on green development.4) Heterogeneity analysis shows that in regions with stronger knowledge absorption capacity and higher levels of industrial structure upgrading, the construction of big data pilot zones has a more significant promoting effect on the collaborative development of digital and green development.

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孙博文,杨霄斐,苏鑫.国家级大数据综合试验区促进数字化绿色化协同发展研究[J].重庆大学学报社会科学版,2025,(1):79-99. DOI:10.11835/j. issn.1008-5831. jg.2024.09.005

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  • 在线发布日期: 2025-03-25
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