Digital Economy, Innovation Environment and Regional Innovation Efficiency

Authors

  • BO Wenguang School of Economics, Nankai University, Tianjin 300071, China
  • YAN Liangke School of Economics, Nankai University, Tianjin 300071, China
  • LIU Jiali School of Economics, Nankai University, Tianjin 300071, China

DOI:

https://doi.org/10.20069/gt9gnz70

Keywords:

digital economy, innovation environment, regional innovation efficiency, data assets, human capital, spatial spillover effects

Abstract

In recent years, China has vigorously implemented the innovation-driven development strategy, which has effectively promoted China’s economy toward high-quality development. However, despite significant progress in scientific research investment and innovation capabilities, making China one of the world’s fastest innovating countries, innovation efficiency remains less than satisfactory. Meanwhile, with the global industrial upgrading and technological revolution, more countries have recognized the importance of the digital economy. The digitization of traditional industries has greatly enhanced resource utilization, improved resource allocation methods, and positively impacted regional innovation efficiency. Therefore, at this critical juncture, the rise of the digital economy has become a “new engine” driving China’s economy toward innovative development. In-depth research on how the digital economy affects regional innovation efficiency not only helps understand the relationship between them, but also deepens the understanding of their segmented characteristics, while providing precise policy implications for enhancing regional innovation efficiency.

Based on China’s provincial panel data from 2014 to 2020, this paper empirically analyzes the impact of the digital economy on regional innovation efficiency, further discusses the heterogeneity, nonlinearity and spatial spillover characteristics of this impact, and examines the moderating effects of data assets and human capital based on innovative measurements of data asset value. The results show that: China’s digital economy level and regional innovation efficiency both demonstrate increasing trends, with evident gradient distribution patterns showing higher levels in eastern regions than western regions; the development of the digital economy significantly improves China’s regional innovation efficiency, with more pronounced effects in eastern regions, threshold effects of increasing marginal impact, and negative spatial spillover effects, meaning that a province with a high digital economy level may reduce the regional innovation efficiency of neighboring provinces; the innovation environment plays a positive moderating role between the digital economy and regional innovation efficiency, that is, in regions with higher data asset values and human capital levels, the digital economy has more significant effects on enhancing regional innovation efficiency.

From the research findings, the digital economy plays an important role in the improving regional innovation efficiency. The government should actively promote the integration of the digital economy with traditional industries, accelerate institutional innovation, address integration challenges, implement prudent and inclusive regulation for emerging business forms and models in the digital economy. Different regions should formulate differentiated digital economy development strategies based on their specific conditions. Eastern regions with better digital economy foundation should focus on breakthroughs in key technologies in core areas, while central and western regions should further strengthen digital economy infrastructure. All regions should pay close attention to the potential negative spillover effects of digital economy development on neighboring regions’ innovation efficiency, actively build platforms for regional innovation exchange and cooperation, and avoid uncoordinated development. Finally, the moderating effect of the innovation environment should be leveraged by focusing on developing data assets and enhancing human capital to develop the digital economy, thereby improving regional innovation efficiency.

Downloads

Download data is not yet available.

References

[1] 刘树峰,杜德斌,覃雄合,等. 基于创新价值链视角下中国创新效率时空格局与影响因素分析[J]. 地理科学, 2019, 39(2): 173-182.

LIU S F, DU D B, QIN X H, et al. Spatial-temporal pattern and influencing factors of China’s innovation efficiency based on innovation value chain [J]. Scientia Geographica Sinica, 2019, 39(2): 173-182.

[2] LYYTINEN K, YOO Y, JRB J R. Digital product innovation within four classes of innovation networks [J]. Information Systems Journal, 2016(1): 47-75.

[3] BECK T, PAMUK H, RAMRATTAN R, et al. Payment instruments, finance and development [J]. Journal of Development Economics, 2018, 133: 162-186.

[4] TRANOS E, KTT SOST, ORTEGA-ARGILES R. Digital economy in the UK: regional productivity effects of early adoption [J]. Taylor & Francis Journals, 2021, 55(12): 1924-1938.

[5] FURRN N, SHIPILOVA D. Digital doesn’t have to be disruptive [J]. Harvard Business Review, 2019, 94: 94-103.

[6] USAI A, FIANO F, PETRUZZELLI A M, et al. Unveiling the impact of the adoption of digital technologies on firms’ innovation performance [J]. Journal of Business Research, 2021, 133: 327-336.

[7] 杨弼君. 数字经济、知识产权保护与高技术产业创新效率[J]. 技术经济与管理研究, 2023, 44(7): 6-11.

YANG B J. Digital economy, intellectual property protection and innovation efficiency of high-tech industry [J]. Journal of Technical Economics & Management, 2023, 44(7): 6-11.

[8] 周国富,林一鸣. 数字经济、制度环境与区域创新效率[J]. 现代经济探讨, 2023, 42(11): 1-16.

ZHOU G F, LIN Y M. Digital economy, institutional environment and regional innovation efficiency [J]. Modern Economic Research, 2023, 42(11): 1-16.

[9] 徐胜,梁靓. 数字经济对区域创新效率的空间溢出效应: 基于创新价值链视角[J]. 中国流通经济, 2023, 37(2): 55-67.

XU S, LIANG L. Spatial effect of digital economy on regional innovation efficiency: from the perspective of innovation value chain [J]. China Business and Market, 2023, 37(2): 55-67.

[10] 汪文璞,徐蔼婷. 数字经济能驱动企业创新效率吗[J]. 现代经济探讨, 2022, 41(12): 79-90.

WANG W P, XU A T. Can the digital economy drive enterprise innovation efficiency [J]. Modern Economic Research, 2022, 41(12): 79-90.

[11] 白俊红,陈新. 数字经济、空间溢出效应与区域创新效率[J]. 研究与发展管理, 2022, 34(6): 67-78.

BAI J H, CHEN X. Digital economy, spatial spillover effect and regional innovation efficiency [J]. R&D Management, 2022, 34(6): 67-78.

[12] 徐向龙,侯经川. 促进、加速与溢出: 数字经济发展对区域创新绩效的影响[J]. 科技进步与对策, 2022, 39(1): 50-59.

XU X L, HOU J C. Promotion, acceleration and spillover: the impact of digital economy development on regional innovation performance [J]. Science & Technology Progress and Policy, 2022, 39(1): 50-59.

[13] 梁琦,肖素萍,李梦欣. 数字经济发展、空间外溢与区域创新质量提升: 兼论市场化的门槛效应[J]. 上海经济研究, 2021, 40(9): 44-56.

LIANG Q, XIAO S P, LI M X. Digital economy development, spatial spillover and innovation quality growth: the threshold effect test of market efficiency [J]. Shanghai Journal of Economics, 2021, 40(9): 44-56.

[14] 张慧,易金彪,徐建新. 数字经济对区域创新效率的空间溢出效应研究: 基于要素市场化配置视角[J]. 证券市场导报, 2022, 32(7): 13-22.

ZHANG H, YI J B, XU J X. Research on the spatial spillover effect of digital economy on regional innovation efficiency: from the perspective of market-oriented allocation of factors [J]. Securities Market Herald, 2022, 32(7): 13-22.

[15] 郭将,张虹萌. 产业数字化对区域创新效率的影响研究: 以长三角为例[J]. 科技与管理, 2023, 25(3): 64-72.

GUO J, ZHANG H M. Research on the impact of industrial digitalization on regional innovation efficiency: taking the Yangtze River Delta as an example [J]. Journal of Science and Technology Management, 2023, 25(3): 64-72.

[16] 裴长洪,倪江飞,李越. 数字经济的政治经济学分析[J]. 财贸经济, 2018, 39(9): 5-22.

PEI C H, NI J F, LI Y. Approach digital economy from the perspective of political economics [J]. Finance & Trade Economics, 2018, 39(9): 5-22.

[17] 陈晓红,李杨扬,宋丽洁,等. 数字经济理论体系与研究展望[J]. 管理世界, 2022, 38(2): 208-224.

CHEN X H, LI Y Y, SONG L J, et al. Theoretical framework and research prospect of digital economy [J]. Journal of Management World, 2022, 38(2): 208-224.

[18] 许宪春,张钟文,胡亚茹. 数据资产统计与核算问题研究[J]. 管理世界, 2022, 38(2): 16-30.

XU X C, ZHANG Z W, HU Y R. Research on deriving measures of data assets in national accounts [J]. Journal of Management World, 2022, 38(2): 16-30.

[19] 江艇. 因果推断经验研究中的中介效应与调节效应[J]. 中国工业经济, 2022, 40(5): 100-120.

JIANG T. Mediating effects and moderating effects in causal inference [J]. China Industrial Economics, 2022, 40(5): 100-120.

[20] 彭绪庶,张宙材. 中国区域创新体系效能测度与演进特征研究[J]. 科技进步与对策, 2023, 40(17): 78-87.

PENG X S, ZHANG Z C. The efficiency measurement and evolution characteristics of China’s regional innovation system [J]. Science & Technology Progress and Policy, 2023, 40(17): 78-87.

[21] 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[J]. 管理世界, 2020, 36(10): 65-76.

ZHAO T, ZHANG Z, LIANG S K. Digital economy, entrepreneurship and high-quality economic development: empirical evidence from urban China [J]. Journal of Management World, 2020, 36(10): 65-76.

[22] 杨慧梅,江璐. 数字经济、空间效应与全要素生产率[J]. 统计研究, 2021, 38(4): 3-15.

YANG H M, JIANG L. Digital economy, spatial effects and total factor productivity [J]. Statistical Research, 2021, 38(4): 3-15.

[23] 李海峥,梁赟玲,FRAUMENI B,等. 中国人力资本测度与指数构建[J]. 经济研究, 2010, 45(8): 42-54.

LI H Z, LIANG Y L, FRAUMENI B, et al. China’s human capital measurement and index construction [J]. Economic Research Journal, 2010, 45(8): 42-54.

[24] 联合国, 欧盟委员会, 经济合作与发展组织, 等. 2008年国民账户体系[M]. 北京: 中国统计出版社, 2012: 60, 134.

[25] OECD. Handbook on deriving capital measures of intellectual property products [M]. Paris: OECD Publishing, 2009: 15-20.

[26] 李政,杨思莹,路京京. 政府参与能否提升区域创新效率? [J]. 经济评论, 2018, 39(6): 3-14.

LI Z, YANG S Y, LU J J. Can government participation improve regional innovation efficiency? [J]. Economic Review, 2018, 39(6): 3-14.

[27] 钱海章,陶云清,曹松威,等. 中国数字金融发展与经济增长的理论与实证[J]. 数量经济技术经济研究, 2020, 37(6): 26-46.

QIAN H Z, TAO Y Q, CAO S W, et al. Theoretical and empirical analysis on the development of digital finance and economic growth in China [J]. Journal of Quantitative & Technological Economics, 2020, 37(6): 26-46.

[28] 黄群慧,余泳泽,张松林. 互联网发展与制造业生产率提升: 内在机制与中国经验[J]. 中国工业经济, 2019, 37(8): 5-23.

HUANG Q H, YU Y Z, ZHANG S L. Internet development and productivity growth in manufacturing industry: internal mechanism and China experiences [J]. China Industrial Economics, 2019, 37(8): 5-23.

[29] NUNN N, QIAN N. US food aid and civil conflict [J]. American Economic Review, 2014, 104(6): 1630-1666.

[30] 张国胜,严鹏,李欣珏. 赋能中的分化: 数字技术扩散与中国南北经济增长“失衡”[J]. 当代经济科学, 2024, 46(6): 61-75.

ZHANG G S, YAN P, LI X J. Divergence in empowerment: digital technology diffusion and the imbalance between Chinese north and south economic growth [J]. Modern Economic Science, 2024, 46(6): 61-75.

[31] 刘帅,李琪,徐晓瑜,等. 互联网发展与城市创新提升: 基于“宽带中国”战略的准自然实验[J]. 西安交通大学学报(社会科学版), 2022, 42(6): 10-20.

LIU S, LI Q, XU X Y, et al. Internet development and improvement of urban innovation: a quasi-natural experiment based on “Broadband China” strategy [J]. Journal of Xi’an Jiaotong University (Social Sciences), 2022, 42(6): 10-20.

Downloads

Published

2025-06-16

How to Cite

Digital Economy, Innovation Environment and Regional Innovation Efficiency. (2025). Modern Economic Science, 47(3), 50-64. https://doi.org/10.20069/gt9gnz70