IDEAS home Printed from https://ideas.repec.org/a/eee/techno/v107y2021ics0166497221000961.html
   My bibliography  Save this article

The effect of technology infrastructure investment on technological innovation ——A study based on spatial durbin model

Author

Listed:
  • Pan, Xiongfeng
  • Guo, Shucen
  • Li, Mengna
  • Song, Jinbo

Abstract

In order to examine the effect of technology infrastructure investment on technological innovation capability in China, this paper has theoretically analysed the mechanism of technological infrastructure investment affecting technological innovation capability, and then established a dynamic spatial durbin model (SDM) to analyse the direct and indirect effect based on panel data of 30 provinces in China from 2009 to 2015. The results show that: China's technological innovation capability and technology infrastructure investment exist spatial gathering, which means that the neighbouring regions show similar characteristics in the spatial dimension. In this region, the direct effect of technology infrastructure on technological innovation is manifested as a significant “inverted U″ type relationship, which means that with the expansion of investment scale of technology infrastructure, its influence on technological innovation capability is gradually changed from promotion to inhibition. From the perspective of inter-regional spillover effect, the technology infrastructure investment also has an “inverted U″ nonlinear influence on the technological innovation capability of the neighbouring region, that is, the impact of technology infrastructure investment on the surrounding areas is to promote first and then suppress.

Suggested Citation

  • Pan, Xiongfeng & Guo, Shucen & Li, Mengna & Song, Jinbo, 2021. "The effect of technology infrastructure investment on technological innovation ——A study based on spatial durbin model," Technovation, Elsevier, vol. 107(C).
    • Handle: RePEc:eee:techno:v:107:y:2021:i:c:s0166497221000961
    DOI: 10.1016/j.technovation.2021.102315
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0166497221000961
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.technovation.2021.102315?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. Richard Heidler & Olof Hallonsten, 2015. "Qualifying the performance evaluation of Big Science beyond productivity, impact and costs," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 295-312, July.
    2. Del Bo, Chiara F., 2016. "The rate of return to investment in R&D: The case of research infrastructures," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 26-37.
    3. Joo, Dongoh & Woosnam, Kyle M. & Shafer, C. Scott & Scott, David & An, Soyoung, 2017. "Considering Tobler's first law of geography in a tourism context," Tourism Management, Elsevier, vol. 62(C), pages 350-359.
    4. Bendik Bygstad & Hans-Petter Aanby, 2010. "ICT infrastructure for innovation: A case study of the enterprise service bus approach," Information Systems Frontiers, Springer, vol. 12(3), pages 257-265, July.
    5. Ana Urraca-Ruiz, 2019. "On the evolution of technological specialization patterns in emerging countries: comparing Asia and Latin America," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 28(1), pages 100-117, January.
    6. Nitin Agarwala & Rana Divyank Chaudhary, 2019. "China’s Policy on Science and Technology: Implications for the Next Industrial Transition," India Quarterly: A Journal of International Affairs, , vol. 75(2), pages 206-227, June.
    7. D. Rohde & J. Corcoran & T. R. McGee & R. Wickes & M. Townsley, 2015. "Probabilistic methods of analysis for the time series Moran scatterplot quadrant signature," Environmetrics, John Wiley & Sons, Ltd., vol. 26(1), pages 52-65, February.
    8. Gil, Nuno & Miozzo, Marcela & Massini, Silvia, 2012. "The innovation potential of new infrastructure development: An empirical study of Heathrow airport's T5 project," Research Policy, Elsevier, vol. 41(2), pages 452-466.
    9. Jiang, Yonglei & Liao, Feixiong & Xu, Qi & Yang, Zhongzhen, 2019. "Identification of technology spillover among airport alliance from the perspective of efficiency evaluation: The case of China," Transport Policy, Elsevier, vol. 80(C), pages 49-58.
    10. Xiongfeng Pan & Jing Zhang & Malin Song & Bowei Ai, 2018. "Innovation resources integration pattern in high-tech entrepreneurial enterprises," International Entrepreneurship and Management Journal, Springer, vol. 14(1), pages 51-66, March.
    11. Hu, Rui & Skea, Jim & Hannon, Matthew J., 2018. "Measuring the energy innovation process: An indicator framework and a case study of wind energy in China," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 227-244.
    12. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
    13. Xiaolan Fu & Wing Thye Woo & Jun Hou, 2016. "Technological innovation policy in China: the lessons, and the necessary changes ahead," Economic Change and Restructuring, Springer, vol. 49(2), pages 139-157, August.
    14. Del Giudice, M. & Scuotto, V. & Garcia-Perez, A. & Messeni Petruzzelli, A., 2019. "Shifting Wealth II in Chinese economy. The effect of the horizontal technology spillover for SMEs for international growth," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 307-316.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jiabin han & Ziyi Chen & Muhammad Zeeshan & Alam Rehman & Irfan Ullah & Suleman Sarwar, 2024. "The influence of civilized city honorary title on the urban innovation capacity," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(8), pages 20841-20867, August.
    2. Jiaping Xie & Haicheng Jia & Qi Dong & Gulizhaer Aisaiti, 2022. "Research on the Governance Mechanism of Independent Innovation Network in the Core Area of Silk Road Economic Belt," Sustainability, MDPI, vol. 14(13), pages 1-24, June.
    3. Adisu Fanta Bate & Esther Wanjiru Wachira & Sándor Danka, 2023. "The determinants of innovation performance: an income-based cross-country comparative analysis using the Global Innovation Index (GII)," Journal of Innovation and Entrepreneurship, Springer, vol. 12(1), pages 1-27, December.
    4. Huang, Xiulu & Wang, Xiaoyu & Ge, Pengfei, 2024. "Selective industrial policy and innovation resource misallocation," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 124-146.
    5. Xiang Cai & Jing Li & Jun Wu & Haijing Zhang & Ping Chen & Xin Huang, 2022. "The Impact of Enterprise R&D Investment and Government Subsidies on Technological Progress: Evidence from China’s PV Industry," Energies, MDPI, vol. 15(12), pages 1-26, June.
    6. Lu, Hao & Fan, Yiwei & Jiao, Liudan & Wu, Ya, 2024. "Assessment and spatial effect of urban agglomeration business environments: A case study of two urban agglomerations in China," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    7. Xu Linming & Lu Jincheng & Li Meijuan & He Lerong, 2021. "Dynamic Evaluation and Analysis of Regional Innovation Capability in Eastern China from the Perspective of High-quality Development," Journal of Systems Science and Information, De Gruyter, vol. 9(6), pages 608-626, December.
    8. Xin Du & Hengming Zhang & Yawen Han, 2022. "How Does New Infrastructure Investment Affect Economic Growth Quality? Empirical Evidence from China," Sustainability, MDPI, vol. 14(6), pages 1-30, March.
    9. Cui, Wenyue & Tang, Jie, 2023. "Innovation convergence clubs and their driving factors within urban agglomeration," Economic Modelling, Elsevier, vol. 121(C).
    10. Zhen Xu & Xiang Zhu & Guoen Wei & Xiao Ouyang, 2021. "Spatio-Temporal Evolution and Mechanism Analysis of China’s Regional Innovation Efficiency," Sustainability, MDPI, vol. 13(19), pages 1-12, October.
    11. Sarpong, David & Boakye, Derrick & Ofosu, George & Botchie, David, 2023. "The three pointers of research and development (R&D) for growth-boosting sustainable innovation system," Technovation, Elsevier, vol. 122(C).
    12. The Nguyen Huynh, 2022. "Dynamic spatial effects of determinants of foreign direct investment: A case of the southern key economic region of Vietnam," Australian Economic Papers, Wiley Blackwell, vol. 61(3), pages 436-454, September.
    13. Chi Ma & Jianping Tao & Caifeng Tan & Wei Liu & Xia Li, 2023. "Negative Media Sentiment about the Pig Epidemic and Pork Price Fluctuations: A Study on Spatial Spillover Effect and Mechanism," Agriculture, MDPI, vol. 13(3), pages 1-23, March.
    14. Zhu, Qingyuan & Xu, Chengzhen & Chen, Qingjuan & Wu, Liangpeng, 2024. "Oil price distortion and its impact on green economic efficiency in China’s transportation: A spatial effect perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).

    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. Haddoud, Mohamed Yacine & Kock, Ned & Onjewu, Adah-Kole Emmanuel & Jafari-Sadeghi, Vahid & Jones, Paul, 2023. "Technology, innovation and SMEs' export intensity: Evidence from Morocco," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    2. Sarpong, David & Boakye, Derrick & Ofosu, George & Botchie, David, 2023. "The three pointers of research and development (R&D) for growth-boosting sustainable innovation system," Technovation, Elsevier, vol. 122(C).
    3. Wenchao Xu & Yanmei Xu & Junfeng Li, 2017. "A Study of RI Clusters Based on Symbiosis Theory," Sustainability, MDPI, vol. 9(3), pages 1-13, March.
    4. Zhao, Mingxuan & Lv, Lianhong & Wu, Jing & Wang, Shen & Zhang, Nan & Bai, Zihan & Luo, Hong, 2022. "Total factor productivity of high coal-consuming industries and provincial coal consumption: Based on the dynamic spatial Durbin model," Energy, Elsevier, vol. 251(C).
    5. Anna M. Ferragina & Giulia Nunziante, 2018. "Are Italian firms performances influenced by innovation of domestic and foreign firms nearby in space and sectors?," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 45(3), pages 335-360, September.
    6. Yingcheng Li & Kai Zhu, 2017. "Spatial dependence and heterogeneity in the location processes of new high-tech firms in Nanjing, China," Papers in Regional Science, Wiley Blackwell, vol. 96(3), pages 519-535, August.
    7. Deslatte, Aaron & Szmigiel-Rawska, Katarzyna & Tavares, António F. & Ślawska, Justyna & Karsznia, Izabela & Łukomska, Julita, 2022. "Land use institutions and social-ecological systems: A spatial analysis of local landscape changes in Poland," Land Use Policy, Elsevier, vol. 114(C).
    8. Vicente Rios Ibañez, 2014. "What drives regional unemployment convergence?," ERSA conference papers ersa14p924, European Regional Science Association.
    9. Tomasz Kijek & Anna Matras-Bolibok, 2020. "Knowledge-intensive Specialisation and Total Factor Productivity (TFP) in the EU Regional Scope," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 68(1), pages 181-188.
    10. Burhan Can Karahasan & Firat Bilgel, 2018. "Economic Geography, Growth Dynamics and Human Capital Accumulation in Turkey: Evidence from Regional and Micro Data," Working Papers 1233, Economic Research Forum, revised 10 Oct 2018.
    11. Parent, Olivier & LeSage, James P., 2011. "A space-time filter for panel data models containing random effects," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 475-490, January.
    12. Liv Osland & Inge Thorsen, 2013. "Spatial Impacts, Local Labour Market Characteristics and Housing Prices," Urban Studies, Urban Studies Journal Limited, vol. 50(10), pages 2063-2083, August.
    13. Quentin Frère & Matthieu Leprince & Sonia Paty, 2014. "The Impact of Intermunicipal Cooperation on Local Public Spending," Urban Studies, Urban Studies Journal Limited, vol. 51(8), pages 1741-1760, June.
    14. Bottasso, Anna & Conti, Maurizio & Ferrari, Claudio & Tei, Alessio, 2014. "Ports and regional development: A spatial analysis on a panel of European regions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 65(C), pages 44-55.
    15. Ling Bai & Tianran Guo & Wei Xu & Kang Luo, 2022. "The Spatial Differentiation and Driving Forces of Ecological Welfare Performance in the Yangtze River Economic Belt," IJERPH, MDPI, vol. 19(22), pages 1-21, November.
    16. Behr, Andreas & Schiwy, Christoph & Hong, Lucy, 2022. "Impact of Agglomeration Economies on Regional Performance in Germany," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 52(1), May.
    17. Pablo Argüelles & Luis Orea, 2021. "Managing power supply interruptions: a bottom-up spatial (frontier) model with an application to a Spanish electricity network," Empirical Economics, Springer, vol. 60(6), pages 2867-2896, June.
    18. Karl Geisler & Mark Nichols, 2016. "Riverboat casino gambling impacts on employment and income in host and surrounding counties," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 101-123, January.
    19. Zbigniew Drewniak & Rafal Drewniak & Robert Karaszewski, 2020. "The Assessment of the Features of Inter-organisational Relationships: Benefits, Duration, Repeatability and Maturity of the Relationship with the Company's Stakeholders," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 443-461.
    20. Rubio-Andrés, Mercedes & Ramos-González, Mª del Mar & Sastre-Castillo, Miguel Ángel & Gutiérrez-Broncano, Santiago, 2023. "Stakeholder pressure and innovation capacity of SMEs in the COVID-19 pandemic: Mediating and multigroup analysis," Technological Forecasting and Social Change, Elsevier, vol. 190(C).

    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:techno:v:107:y:2021:i:c:s0166497221000961. 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.sciencedirect.com/science/journal/01664972 .

    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.