数字经济驱动中国传统产业创新发展研究

Digital Economy Drive and Innovation Development in China's Traditional Industries

研究数字经济驱动传统产业创新发展,有助于促进数字经济和实体经济深度融合,对于打造具有国际竞争力的数字产业集群具有重要价值。在梳理经典研究脉络的基础上,从数字化基础设施、数字化应用状况、数字化发展环境和数字金融发展四个维度综合选取了13个二级指标,构建中国数字经济发展水平指标体系,运用主成分分析法测算出2011-2020年中国数字经济的发展指数。遵循“数字化赋能-多重驱动-创新变革”的逻辑思路,运用面板固定效应模型、中介效应模型等多种计量模型就数字经济对传统产业创新发展的驱动效应、传导路径和区域异质性影响进行实证检验。研究发现:第一,数字经济发展能够显著提升传统产业创新能力,用广义矩估计法进行内生性检验、用外生冲击等四种方法进行稳健性检验后该结论仍然成立。第二,从驱动路径来看,数字经济通过助力传统产业转型升级、促进普惠金融发展以及拉动消费需求,对传统产业创新发展产生了积极性影响,产业结构、金融发展和消费需求的中介效应占比分别为8.89%、11.09%和21.02%,可见这三个变量中消费需求的中介作用更为明显。第三,数字经济对传统产业创新发展的驱动效应存在区域异质性,数字经济显著促进了东部和西部地区传统产业的创新发展,但对中部地区的影响不显著。基于以上结论,提出如下政策建议:第一,继续深入推进数字经济与传统产业融合发展;第二,优化顶层制度设计,发挥产业升级、金融发展以及消费需求的“中介因素”作用;第三,实施差异化数字经济战略,提升各地发展的协调性与均衡性。本研究为理解数字经济驱动与传统产业创新发展的链接路径提供了有益的补充,为制造强国、质量强国、网络强国、数字中国提供了理论阐释与实证检验。

The research on the digital economy-driven and the innovative development of China's traditional industries is of great value to promote the deep integration of the digital economy and the real economy,and build a digital industry cluster with international competitiveness.From this perspective,it is necessary and important to build an indicate system of the development of digital economy.Therefore,on the basis of sorting out of the classic research context,13 secondary indicators are selected comprehensively from four dimensions:digital infrastructure,digital application status,digital development environment,and digital financial development.It constructs an indicator system for the development level of China's digital economy,and uses principal component analysis to calculate the development index of China's digital economy from 201l to 2020.Following the logical idea of"digital empowerment-multiple drivers-innovation and change",the paper uses a variety of econometric models such as panel fixed effect model and intermediary effect model to empirically test the driving effect,transmission path and regional heterogeneity of the digital economy on the innovation and development of traditional industries.The research findings are as follows:First,the development of digital economy can significantly improve the innovation ability of traditional industries.The conclusion is still valid after the endogeneity test with generalized moment estimation method and the robustness test with exogenous impact.Second,from the perspective of driving path,the digital economy has had a positive impact on the innovation and development of traditional industries by facilitating the transformation and upgrading of traditional industries,promoting the development of inclusive finance and stimulating consumer demand.The intermediary effect of industrial structure,financial development and consumer demand accounted for 8.89%,11.09%and 21.02%,respectively.It can be seen that the intermediary role of consumption demand is more obvious among these three variables.Third,there is regional heterogeneity in the driving effect of digital economy on the innovation and development of traditional industries.Digital economy significantly promotes the innovation and development of traditional industries in the eastern and western regions,but has no significant impact on the central region.Based on the above conclusions,the following policy recommendations are put forward:(1)Continue to further promote the integrated development of digital economy and traditional industries;(2)Optimize the top-level system design,give play to the role of"intermediary factors"of industrial upgrading,financial development and consumer demand;(3)Implement differentiated digital economy strategies to enhance the coordination and balance of development among different regions.This study provides a useful supplement for understanding the link between the digital economy and the innovation and development of traditional industries,and provides theoretical explanation and empirical test for manufacturing power,quality power,network power,and digital China.