IDEAS home Printed from https://ideas.repec.org/a/eee/streco/v71y2024icp208-220.html
   My bibliography  Save this article

Spatial differentiation and driving factors of scientific and technological innovation efficiency under the background of the digital economy

Author

Listed:
  • Liu, Yang
  • Qian, Qi
  • Wang, Yue
  • Zhang, Honghao

Abstract

Scientific and technological innovation (STI) activities are facilitated under the influence of the digital economy and depend on digital elements to support innovation activities. This study measures digital element inputs and outputs using data related to the digital economy and estimates STI efficiency in 29 provincial regions in mainland China from 2010 to 2021 employing the global super-efficiency slacks-based measure (SBM) model. Then, spatial characteristics and driving forces of STI efficiency are quantified using spatial autocorrelation and geographic detectors. The results reveal that STI efficiency exhibits a fluctuating, W-shaped pattern, and the spatial correlation effect shows a gradually declining trend from 2010 to 2021. The findings reveal that the core drivers of STI efficiency are digital financial development, e-commerce development, digital access level, and related factors. Therefore, strengthening inter-regional innovation links, promoting the construction of 5 G mobile internet and accelerating the integration of digital industries into traditional industries are recommended.

Suggested Citation

  • Liu, Yang & Qian, Qi & Wang, Yue & Zhang, Honghao, 2024. "Spatial differentiation and driving factors of scientific and technological innovation efficiency under the background of the digital economy," Structural Change and Economic Dynamics, Elsevier, vol. 71(C), pages 208-220.
  • Handle: RePEc:eee:streco:v:71:y:2024:i:c:p:208-220
    DOI: 10.1016/j.strueco.2024.07.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0954349X24001048
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.strueco.2024.07.009?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Xu Zhang & Huaping Sun & Taohong Wang, 2022. "Impact of Financial Inclusion on the Efficiency of Carbon Emissions: Evidence from 30 Provinces in China," Energies, MDPI, vol. 15(19), pages 1-15, October.
    2. Han, Yang, 2022. "The impact of the COVID-19 pandemic on China's economic structure: An input–output approach," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 181-195.
    3. Lim, Jinyang & Nam, Changi & Kim, Seongcheol & Lee, Euehun & Lee, Hongkyu, 2015. "A new regional clustering approach for mobile telecommunications policy in China," Telecommunications Policy, Elsevier, vol. 39(3), pages 296-304.
    4. Song, Yanwu & Zhang, Jinrui & Song, Yingkang & Fan, Xinran & Zhu, Yuqing & Zhang, Chen, 2020. "Can industry-university-research collaborative innovation efficiency reduce carbon emissions?," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    5. Songqin Zhao & Diyun Peng & Huwei Wen & Huilin Song, 2022. "Does the Digital Economy Promote Upgrading the Industrial Structure of Chinese Cities?," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    6. Zhang, Liangliang & Huang, Shoujun, 2022. "Social capital and regional innovation efficiency: The moderating effect of governance quality," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 343-359.
    7. Dong Han & Jiajun Qiao & Yuling Ma & Qiankun Zhu, 2022. "The influence of spatial interfaces on rural economic restructuring in rapidly industrializing areas: A case study of Gongyi city in central China," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1210-1242, September.
    8. Shang, Hua & Jiang, Li & Pan, Xianyou & Pan, Xiongfeng, 2022. "Green technology innovation spillover effect and urban eco-efficiency convergence: Evidence from Chinese cities," Energy Economics, Elsevier, vol. 114(C).
    9. Li, Xin & Shao, Xuefeng & Chang, Tsangyao & Albu, Lucian Liviu, 2022. "Does digital finance promote the green innovation of China's listed companies?," Energy Economics, Elsevier, vol. 114(C).
    10. Morteza Ghobakhloo & Mohammad Iranmanesh & Andrius Grybauskas & Mantas Vilkas & Monika Petraitė, 2021. "Industry 4.0, innovation, and sustainable development: A systematic review and a roadmap to sustainable innovation," Business Strategy and the Environment, Wiley Blackwell, vol. 30(8), pages 4237-4257, December.
    11. Shang, Juan & Wang, Zhuo & Li, Ling & Chen, Yong & Li, Pengfei, 2018. "A study on the correlation between technology innovation and the new-type urbanization in Shaanxi province," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 266-273.
    12. Hottenrott, Hanna & Lopes-Bento, Cindy, 2014. "(International) R&D collaboration and SMEs: The effectiveness of targeted public R&D support schemes," Research Policy, Elsevier, vol. 43(6), pages 1055-1066.
    13. Nambisan, Satish & Wright, Mike & Feldman, Maryann, 2019. "The digital transformation of innovation and entrepreneurship: Progress, challenges and key themes," Research Policy, Elsevier, vol. 48(8), pages 1-1.
    14. Seongsoo Jang & Jinwon Kim & Max von Zedtwitz, 2017. "The importance of spatial agglomeration in product innovation: A microgeography perspective," Post-Print hal-02004347, HAL.
    15. Ma, Wanglin, 2020. "Heterogeneous effects of Internet use and adoption of sustainable production practices on rural incomes: Evidence from China," 2020 Conference (64th), February 12-14, 2020, Perth, Western Australia 305240, Australian Agricultural and Resource Economics Society.
    16. Mainardes, Emerson Wagner & Funchal, Bruno & Soares, Jadir, 2017. "The informatics technology and innovation in the service production," Structural Change and Economic Dynamics, Elsevier, vol. 43(C), pages 27-38, December.
    17. Junhong Bai, 2013. "On Regional Innovation Efficiency: Evidence from Panel Data of China's Different Provinces," Regional Studies, Taylor & Francis Journals, vol. 47(5), pages 773-788, May.
    18. Huasheng Song & Min Zhang, 2017. "Spatial Spillovers of Regional Innovation: Evidence from Chinese Provinces," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(9), pages 2104-2122, September.
    19. Zhou, Bing & Zeng, Xiaoyan & Jiang, Lu & Xue, Bing, 2020. "High-quality Economic Growth under the Influence of Technological Innovation Preference in China: A Numerical Simulation from the Government Financial Perspective," Structural Change and Economic Dynamics, Elsevier, vol. 54(C), pages 163-172.
    20. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    21. Dyckhoff, H. & Allen, K., 2001. "Measuring ecological efficiency with data envelopment analysis (DEA)," European Journal of Operational Research, Elsevier, vol. 132(2), pages 312-325, July.
    22. Ghasemaghaei, Maryam & Calic, Goran, 2019. "Does big data enhance firm innovation competency? The mediating role of data-driven insights," Journal of Business Research, Elsevier, vol. 104(C), pages 69-84.
    23. Blichfeldt, Henrik & Faullant, Rita, 2021. "Performance effects of digital technology adoption and product & service innovation – A process-industry perspective," Technovation, Elsevier, vol. 105(C).
    24. Li, Xibao, 2009. "China's regional innovation capacity in transition: An empirical approach," Research Policy, Elsevier, vol. 38(2), pages 338-357, March.
    25. Chris Freeman & Luc Soete, 1997. "The Economics of Industrial Innovation, 3rd Edition," MIT Press Books, The MIT Press, edition 3, volume 1, number 0262061953, December.
    26. Jarle Aarstad & Olav Andreas Kvitastein, 2020. "Enterprise R&D investments, product innovation and the regional industry structure," Regional Studies, Taylor & Francis Journals, vol. 54(3), pages 366-376, March.
    27. R, Rekha & M, Suresh Babu, 2022. "Premature deindustrialisation and growth slowdowns in middle-income countries," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 377-389.
    28. Kleoniki Kalapouti & Konstantinos Petridis & Chrisovalantis Malesios & Prasanta Kumar Dey, 2020. "Measuring efficiency of innovation using combined Data Envelopment Analysis and Structural Equation Modeling: empirical study in EU regions," Annals of Operations Research, Springer, vol. 294(1), pages 297-320, November.
    29. Chen Yang & Tongliang An, 2020. "The Internet reshapes China's economic geography: micromechanisms and macro effects," China Political Economy, Emerald Group Publishing Limited, vol. 3(2), pages 341-365, December.
    30. Feng, Suling & Zhang, Rong & Li, Guoxiang, 2022. "Environmental decentralization, digital finance and green technology innovation," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 70-83.
    31. Carayannis, Elias & Grebeniuk, Anna & Meissner, Dirk, 2016. "Smart roadmapping for STI policy," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 109-116.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shi, Guanqing & Li, Qiyuan & Wei, Yu & Ali, Madad & Lv, Xinyu, 2024. "Does digital technology advancement promote natural resource utilization efficiency?," Resources Policy, Elsevier, vol. 94(C).
    2. Lingzhang Kong & Jinye Li, 2022. "Digital Economy Development and Green Economic Efficiency: Evidence from Province-Level Empirical Data in China," Sustainability, MDPI, vol. 15(1), pages 1-26, December.
    3. Xiao Zhang & Di Wang, 2023. "Beyond the Ecological Boundary: A Quasi-Natural Experiment on the Impact of National Marine Parks on Eco-Efficiency in Coastal Cities," Sustainability, MDPI, vol. 15(20), pages 1-19, October.
    4. Boeing, Philipp & Eberle, Jonathan & Howell, Anthony, 2022. "The impact of China's R&D subsidies on R&D investment, technological upgrading and economic growth," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    5. Shang, Hua & Jiang, Li & Di, Yuhang, 2024. "Spatial connection strength and endogenous and exogenous interactive driving factors of carbon efficiency in China's metropolitan areas with higher energy consumption," Energy, Elsevier, vol. 311(C).
    6. Guo, Bingnan & Wang, Yu & Zhang, Hao & Liang, Chunyan & Feng, Yu & Hu, Feng, 2023. "Impact of the digital economy on high-quality urban economic development: Evidence from Chinese cities," Economic Modelling, Elsevier, vol. 120(C).
    7. Du, Lixia & Geng, Baiyang, 2024. "Financial technology and financing constraints," Finance Research Letters, Elsevier, vol. 60(C).
    8. Bai, Rui & Lin, Boqiang, 2024. "An in-depth analysis of green innovation efficiency: New evidence based on club convergence and spatial correlation network," Energy Economics, Elsevier, vol. 132(C).
    9. Yahya, Farzan & Lee, Chien-Chiang, 2023. "Disentangling the asymmetric effect of financialization on the green output gap," Energy Economics, Elsevier, vol. 125(C).
    10. Belitski, Maksim & Korosteleva, Julia & Piscitello, Lucia, 2023. "Digital affordances and entrepreneurial dynamics: New evidence from European regions," Technovation, Elsevier, vol. 119(C).
    11. Yaru Li & Qifan Zhang, 2024. "Corporate Digital Transformation and the Internationalization of R&D," Sustainability, MDPI, vol. 16(21), pages 1-20, October.
    12. Zhao, Ran & He, Pinglin, 2024. "Government spending efficiency, fiscal decentralization and regional innovation capability: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 693-706.
    13. Qiao, Penghua & Liu, Siting & Fung, Hung-Gay & Wang, Chen, 2024. "Corporate green innovation in a digital economy," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 870-883.
    14. Yu, Binbin, 2021. "Ecological effects of new-type urbanization in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    15. Sun, Guanglin & Li, Ting & Ai, Yongfang & Li, Qinghai, 2023. "Digital finance and corporate financial fraud," International Review of Financial Analysis, Elsevier, vol. 87(C).
    16. Chunyun Wang & Senyu Xing & Lixiao Xu, 2023. "A Multi-Regional Input–Output Model to Measure the Spatial Spillover of R&D Capital," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
    17. Tianyi Zhu & Xue Li & Haoqiang Wu & Ziyu Chu, 2023. "Does the Collaboration of Digitalization Foster Regional Green Development?," Sustainability, MDPI, vol. 15(20), pages 1-18, October.
    18. Mou, Kefen & Xu, Bing, 2024. "Digital finance, government regulation, and corporate capital market efficiency," Finance Research Letters, Elsevier, vol. 68(C).
    19. Jiayi Li & Shujun Ye & Shujuan Wang, 2023. "Spatial Network Analysis on the Coupling Coordination of Digital Finance and Technological Innovation," Sustainability, MDPI, vol. 15(8), pages 1-22, April.
    20. Li, Hao-Chung & Lee, Wen-Chieh & Ko, Bo-Ting, 2017. "What determines misallocation in innovation? A study of regional innovation in China," Journal of Macroeconomics, Elsevier, vol. 52(C), pages 221-237.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:streco:v:71:y:2024:i:c:p:208-220. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/525148 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.