Does the Development of Digital Economy Improve Regional Economic Resilience? A Research Based on Intermediary Effect， Threshold Effect and Spatial Spillover Effect
Li Xiaozhong1, Wu Wenhao1, Gu Guoda2
1.School of Economics, Hangzhou Dianzi University, Hangzhou 310018, China 2.School of Economics, Zhejiang University, Hangzhou 310058, China
Abstract：With the development of economic globalization, the relationship between economic entities in various regions has deepened, and at the same time, turbulent crisis in one region will be transmitted to other regions, which may easily lead to negative chain reactions on a global scale. Therefore, the ability of regional economic entities to resist external shocks has attracted much attention and became a research hotspot. Digital economy takes digital industrialization and industry digitalization as the main line, which plays an important role in the stable development of China’s regional economy. Although there are abundant literatures on the influencing factors of regional economic resilience, there are few documents studying the impact of digital economy on regional economic resilience. At the moment when digital economy has gradually become the mainstream, China should improve the resilience of regional economy by playing a greater role of digital economy, which is also the significance of this study.First of all, based on literature reviews, this paper deeply analyzes the impact mechanism of digital economy on regional economic resilience, and puts forward research assumptions. Secondly, a digital economy development index system is constructed from four perspectives: digital infrastructure, support industry scale, digital application capability and digital governance level. The index system of regional economic resilience is constructed from three dimensions of resilience, adaptability, and innovation and transformation. The digital economic development index and regional economic resilience index of 30 provinces and municipalities in China from 2009 to 2018 are calculated by the principal component analysis method. Thirdly, based on the research hypothesis, the basic regression model and intermediary effect model are constructed to explore the impact and transmission mechanism of digital economy on regional economic resilience. The threshold model is built to explore the nonlinear impact of digital economy on regional economic resilience. The spatial Dubin model is constructed to analyze the spatial spillover effect of digital economy. Finally, this paper puts forward the policy recommendations to accelerate the development of China’s digital economy and better play the role of digital economy in promoting regional economic resilience based on the research conclusions.Compared with previous studies, the innovations of this study are mainly reflected in three aspects. First, we use econometric models to reveal that the impact of digital economy on regional economic resilience has not only a direct effect and heterogeneity, but also an intermediary effect. Digital economy has a positive impact on the resilience of regional economy by promoting the level of human capital and innovation capability. Second, the threshold model is used to reveal the nonlinear change nature with increasing marginal effect of the impact of digital economy development on regional economic resilience. In areas where human capital, innovation ability, and R&D intensity cross the threshold, digital economy plays a greater role in promoting regional economic resilience, producing a significant nonlinear promoting effect. Third, the spatial econometric model is used to reveal the characteristics of spatial spillover effect of the impact of digital economy on regional economic resilience. The development of digital economy can not only have a positive effect on the improvement of regional economic resilience, but also produce a positive spillover effect on surrounding regions. This study more comprehensively reveals the characteristics of the impact of digital economy on the resilience of regional economy, which not only enriches the theoretical research of digital economy and regional economy, but also provides decision-making basis for relevant departments in China. Therefore, this study has important theoretical value and practical significance.
李晓钟, 吴文皓, 顾国达. 数字经济发展能否提升区域经济韧性？[J]. 浙江大学学报(人文社会科学版), 2022, 52(12): 21-39.
Li Xiaozhong, Wu Wenhao, Gu Guoda. Does the Development of Digital Economy Improve Regional Economic Resilience? A Research Based on Intermediary Effect， Threshold Effect and Spatial Spillover Effect. JOURNAL OF ZHEJIANG UNIVERSITY, 2022, 52(12): 21-39.
1 Reggiani A.， de Graaff T. & Nijkamp P.， “Resilience： an evolutionary approach to spatial economic systems，” Networks and Spatial Economics， Vol. 2， No. 2 （2002）， pp. 211-229. 2 Boschma R.， “Towards an evolutionary perspective on regional resilience，” Regional Studies， Vol. 49， No. 5 （2015）， pp. 733-751. 3 Martin R.， Sunley P. & Tyler P.， “Local growth evolutions：recession， resilience and recovery，” Cambridge Journal of Regions Economy & Society， Vol. 8， No. 2 （2015）， pp. 141-148. 4 丁建军、王璋、柳艳红等： 《中国连片特困区经济韧性测度及影响因素分析》，《地理科学进展》2020年第6期，第924-937页。 5 谭俊涛、赵宏波、刘文新等： 《中国区域经济韧性特征与影响因素分析》，《地理科学》2020年第2期，第173-181页。 6 Kakderi C. & Tasopoulou A.， “Regional economic resilience： the role of national and regional policies，” European Planning Studies， Vol. 25， No. 8 （2017）， pp. 1435-1453. 7 崔耕瑞： 《数字金融能否提升中国经济韧性》，《山西财经大学学报》2021年第12期，第29-41页。 8 徐圆、邓胡艳： 《多样化、创新能力与城市经济韧性》，《经济学动态》2020年第8期，第88-104页。 9 Wolfe D. A. & Bramwell A.， “Innovation， creativity and governance： social dynamics of economic performance in city-regions，” Innovation， Vol. 10， No. 2-3 （2008）， pp. 170-182. 10 Bristow G. & Healy A.， “Innovation and regional economic resilience： an exploratory analysis，” The Annals of Regional Science， Vol. 60， No. 2 （2018）， pp. 265-284. 11 Ashmore F. H.， Farrington J. H. & Skerratt S.， “Community-led broadband in rural digital infrastructure development： implications for resilience，” Journal of Rural Studies， Vol. 54 （2017）， pp. 408-425. 12 李晓钟、李俊雨： 《数字经济发展对城乡收入差距的影响研究》，《农业技术经济》2022年第2期，第77-93页。 13 Sitinjak E.， Meidityawati B. & Ichwan R. et al.， “Enhancing urban resilience through technology and social media： case study of urban Jakarta，” Procedia Engineering， Vol. 212 （2018）， pp. 222-229. 14 Demartini M.， Evans S. & Tonelli F.， “Digitalization technologies for industrial sustainability，” Procedia Manufacturing， Vol. 33 （2019）， pp. 264-271. 15 陈丛波、叶阿忠： 《数字经济、创新能力与区域经济韧性》，《统计与决策》2021年第17期，第10-15页。 16 张勋、万广华、张佳佳等： 《数字经济、普惠金融与包容性增长》，《经济研究》2019年第8期，第71-86页。 17 曾湘泉、郭晴： 《数字金融发展能促进返乡农民工再就业吗——基于中国劳动力动态调查（CLDS）的经验分析》，《经济理论与经济管理》2022年第4期，第12-26页。 18 赵涛、张智、梁上坤： 《数字经济、创业活跃度与高质量发展——来自中国城市的经验证据》，《管理世界》2020年第10期，第65-76页。 19 黄键斌、宋铁波、姚浩： 《智能制造政策能否提升企业全要素生产率？》，《科学学研究》2022年第3期，第433-442页。 20 朱金鹤、孙红雪： 《数字经济是否提升了城市经济韧性？》，《现代经济探讨》2021年第10期，第1-13页。 21 陈维涛、韩峰、张国峰： 《互联网电子商务、企业研发与全要素生产率》，《南开经济研究》2019年第5期，第41-59页。 22 郭家堂、骆品亮： 《互联网对中国全要素生产率有促进作用吗？》，《管理世界》2016年第10期，第34-49页。 23 韩长根、张力： 《互联网是否改善了中国的资源错配——基于动态空间杜宾模型与门槛模型的检验》，《经济问题探索》2019年第12期，第43-55页。 24 杨慧梅、江璐： 《数字经济、空间效应与全要素生产率》，《统计研究》2021年第4期，第3-15页。 25 Hansen B. E.， “Threshold effects in non-dynamic panels： estimation， testing， and inference，” Journal of Econometrics， Vol. 93， No. 2 （1999）， pp. 345-368. 26 钞小静、薛志欣、孙艺鸣： 《新型数字基础设施如何影响对外贸易升级——来自中国地级及以上城市的经验证据》，《经济科学》2020年第3期，第46-59页。 27 齐俊妍、任奕达： 《东道国数字经济发展水平与中国对外直接投资——基于“一带一路”沿线43国的考察》，《国际经贸探索》2020年第9期，第55-71页。 28 Martin R.， “Regional economic resilience， hysteresis and recessionary shocks，” Journal of Economic Geography， Vol. 12， No. 1 （2012）， pp. 1-32. 29 Ringwood L.， Watson P. & Lewin P.， “A quantitative method for measuring regional economic resilience to the great recession，” Growth and Change， Vol. 50， No. 1 （2019）， pp. 381-402. 30 单豪杰： 《中国资本存量K的再估算：1952～2006年》，《数量经济技术经济研究》2008年第10期，第17-31页。 31 师博、任保平： 《策略性竞争、空间效应与中国经济增长收敛性》，《经济学动态》2019年第2期，第47-62页。
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