国家级大数据综合试验区与新质生产力OA北大核心CHSSCDCSSCICSTPCD
National big data comprehensive experimental zone and new quality productivity:Based on empirical evidence from 230 cities
社会形态更替本质上是生产力从低质到高质的发展过程,生产力水平提升是人类社会发展的根本动力.新质生产力以"新"为起点,以"质"为重点,以"生产力"为落脚点,培育新质生产力着力点在新科技、新产业和新要素.数据要素作为数字时代战略性生产要素,是实现企业数字化、智能化的关键.国家级大数据综合试验区深耕数据蓝海,培育大数据产业,释放强劲生产力效能.探究大数据试验区依托数据要素助力现代化经济体系建设的现实路径,对加快形成新质生产力,利用科技创新实现经济高质量增长,推进中国式现代化建设具有重要意义.文章梳理现有新质生产力的概念与内涵,引入数据要素,理清大数据综合试验区赋能新质生产力理论机制,基于 2011-2021 年全国 230 个地级市面板数据,以科技生产力、绿色生产力和数字生产力三维度构建城市层面新质生产力指标体系,将国家级大数据综合试验区试点政策视为准自然实验,构建多期双重差分模型实证检验试点政策效应,并从多维度刻画试点政策效应异质性.研究结果发现:国家级大数据综合试验区显著赋能新质生产力提升,且这一结论在多种稳健性检验下仍然成立.维度异质性分析表明,试点政策在科技生产力、绿色生产力和数字生产力三个维度均存在显著赋能;地域异质性分析表明,在东部沿海地区和长江经济带地区政策赋能效应更为明显;经济特征异质性分析表明,拥有较高水平产业结构、人力资本和数字基础设施的城市政策赋能作用突出.机制分析表明,试点政策激励企业加大研发投入进而赋能新质生产力.据此提出政策建议:依据新质生产力子维度优化试点政策驱动数据要素渠道;针对地区产业结构异质性,有的放矢推进大数据综合试验区改革;政策实施环节充分发挥地方政府引导和企业模范带头作用.
The transformation of social forms is essentially the development process of productivity from low quality to high quality,and the improvement of productivity level is the fundamental driving force for the development of human society.New quality productivity starts with"new",focuses on"quality",and takes"productivity"as the foothold.The focus of cultivating new quality productivity is on new technology,new industries,and new elements.As a strategic production factor in the digital age,data elements are the key to achieving digitalization and intelligence in enterprises.The national comprehensive experimental zone for big data is deeply cultivating the blue ocean of data,cultivating the big data industry,and unleashing strong productivity efficiency.Exploring the practical path of big data pilot zone relying on data elements to help the construction of modern economic system is of great significance to accelerate the formation of new quality productivity,realize high-quality economic growth through scientific and technological innovation,and promote the construction of Chinese path to modernization.This paper combs the existing concept and connotation of new quality productivity,introduces data elements,and clarifies the theoretical mechanism of enabling new quality productivity in the big data comprehensive pilot area.Based on the panel data of 230 prefecture level cities in China from 2011 to 2021,this paper constructs a new quality productivity indicator system at the urban level in three dimensions of scientific and technological productivity,green productivity,and digital productivity,treats the pilot policy of the national big data comprehensive pilot area as a quasi natural experiment,builds a multi period double difference model to empirically test the effect of pilot policies,and depicts the heterogeneity of pilot policy effects from multiple dimensions.The research results find that:1)the national level big data comprehensive experimental zone significantly empowers the improvement of new quality productivity,and this conclusion still holds under various robustness tests.2)Dimensional heterogeneity analysis shows that pilot policies have significant empowerment in three dimensions:technological productivity,green productivity,and digital productivity.Regional heterogeneity analysis shows that policy empowerment effects are more pronounced in the eastern coastal areas and the Yangtze River Economic Belt region.The analysis of heterogeneity in economic characteristics shows that the urban policy empowerment effect of high-level industrial structure,human capital,and digital infrastructure is prominent.3)Mechanism analysis shows that pilot policies incentivize enterprises to increase research and development investment,thereby empowering new quality productivity.Based on this,policy recommendations are proposed:optimize pilot policy driven data element channels based on the sub dimension of new quality productivity;target promotion of the reform of big data comprehensive pilot zones in response to the heterogeneity of regional industrial structure;fully leverage the guidance of local governments and the exemplary role of enterprises in policy implementation.
赵鹏;朱叶楠;赵丽
中央财经大学 国际经济与贸易学院,北京 100098||南宁师范大学 经济与管理学院,广西 南宁 530001南宁师范大学 经济与管理学院,广西 南宁 530001
经济学
新质生产力国家级大数据综合试验区数据要素科技创新多期双重差分
new quality productivitynational level big data comprehensive experimental zonedata elementstechnological innovationmulti period double difference
《重庆大学学报(社会科学版)》 2024 (004)
62-78 / 17
2023年广西哲学社会科学研究课题"数字经济赋能广西制造业高质量发展的机制及路径研究"(23FLJ004)
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