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The effect of urban innovation performance of smart city construction policies: Evaluate by using a multiple period difference-in-differences model

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  • Guo, Qingbin
  • Zhong, Jinrong

Abstract

In the setting of Digital China, the smart city pilot strategy has become a fundamental part of the intelligent upgrading of the urban development model. Exploring the influence of smart city pilot policies on urban innovation performance is critical for achieving high-quality economic development and creating an innovation-driven country. This study views the experimental smart city policy in China as a quasi-natural experiment and assesses the improved influence of smart city development on urban innovation performance by constructing a multiple period difference-in-differences (DID) model, then confirms it using a variety of robustness test methodologies. The results show that urban innovation performance benefits from the construction of smart cities, and the promotion effect is sustainable. The level of economic development and information infrastructure, as well as the financial innovation expenditure, have a beneficial effect in encouraging smart city construction innovation performance, while the degree of opening-up hinders the improvement of smart city urban innovation performance. In addition, it is also found that there is heterogeneity in the promotion effect of smart city building on urban innovation performance. The research of this paper provides useful enlightenment for better exerting the promotion effect of smart city building on urban innovation performance.

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  • Guo, Qingbin & Zhong, Jinrong, 2022. "The effect of urban innovation performance of smart city construction policies: Evaluate by using a multiple period difference-in-differences model," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    • Handle: RePEc:eee:tefoso:v:184:y:2022:i:c:s0040162522005248
    DOI: 10.1016/j.techfore.2022.122003
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    as
    1. Daron Acemoglu, 2011. "Diversity and Technological Progress," NBER Chapters, in: The Rate and Direction of Inventive Activity Revisited, pages 319-356, National Bureau of Economic Research, Inc.
    2. Jacobson, Louis S & LaLonde, Robert J & Sullivan, Daniel G, 1993. "Earnings Losses of Displaced Workers," American Economic Review, American Economic Association, vol. 83(4), pages 685-709, September.
    3. Fei Fan & Huan Lian & Song Wang, 2020. "Can regional collaborative innovation improve innovation efficiency? An empirical study of Chinese cities," Growth and Change, Wiley Blackwell, vol. 51(1), pages 440-463, March.
    4. Jennifer Hunt & Marjolaine Gauthier-Loiselle, 2010. "How Much Does Immigration Boost Innovation?," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(2), pages 31-56, April.
    5. Louis S. Jacobson & Robert J. LaLonde & Daniel G. Sullivan, 1993. "Long-term earnings losses of high-seniority displaced workers," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 17(Nov), pages 2-20.
    6. Thorsten Beck & Ross Levine & Alexey Levkov, 2010. "Big Bad Banks? The Winners and Losers from Bank Deregulation in the United States," Journal of Finance, American Finance Association, vol. 65(5), pages 1637-1667, October.
    7. Ning, Lutao & Wang, Fan & Li, Jian, 2016. "Urban innovation, regional externalities of foreign direct investment and industrial agglomeration: Evidence from Chinese cities," Research Policy, Elsevier, vol. 45(4), pages 830-843.
    8. Kumar, Harish & Singh, Manoj Kumar & Gupta, M.P. & Madaan, Jitendra, 2020. "Moving towards smart cities: Solutions that lead to the Smart City Transformation Framework," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    9. Raj Chetty & Adam Looney & Kory Kroft, 2009. "Salience and Taxation: Theory and Evidence," American Economic Review, American Economic Association, vol. 99(4), pages 1145-1177, September.
    10. Carlino, Gerald A. & Chatterjee, Satyajit & Hunt, Robert M., 2007. "Urban density and the rate of invention," Journal of Urban Economics, Elsevier, vol. 61(3), pages 389-419, May.
    11. Robert G. Hollands, 2008. "Will the real smart city please stand up?," City, Taylor & Francis Journals, vol. 12(3), pages 303-320, December.
    12. Wang, Jiating & Cai, Siyuan, 2020. "The construction of high-speed railway and urban innovation capacity: Based on the perspective of knowledge Spillover," China Economic Review, Elsevier, vol. 63(C).
    13. Hao Chen & Bo Yuan & Qi Cui, 2021. "Does the pilot free trade zone policy attract the entering of foreign-invested enterprises? The evidence from China," Applied Economics Letters, Taylor & Francis Journals, vol. 28(14), pages 1162-1168, August.
    14. Shami, Mohammad Reza & Rad, Vahid Bigdeli & Moinifar, Maryam, 2022. "The structural model of indicators for evaluating the quality of urban smart living," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    15. Shuai Shao, Zhenbing Yang, Lili Yang, and Shuang Ma, 2019. "Can China's Energy Intensity Constraint Policy Promote Total Factor Energy Efficiency? Evidence from the Industrial Sector," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    16. Tang, Chenghui & Guan, Mingming & Dou, Jianmin, 2021. "Understanding the impact of High Speed Railway on urban innovation performance from the perspective of agglomeration externalities and network externalities," Technology in Society, Elsevier, vol. 67(C).
    17. Furman, Jeffrey L. & Porter, Michael E. & Stern, Scott, 2002. "The determinants of national innovative capacity," Research Policy, Elsevier, vol. 31(6), pages 899-933, August.
    18. Pengfei Ni & Banji Oyeyinka & Fei Chen, 2015. "Urban Innovation and Upgrading in China Shanty Towns," Springer Books, Springer, edition 127, number 978-3-662-43905-0, November.
    19. Natalia VESELITSKAYA & Oleg KARASEV & Alexey BELOSHITSKIY, 2019. "Drivers And Barriers For Smart Cities Development," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 14(1), pages 85-110, February.
    20. Ke, Xiao & Chen, Haiqiang & Hong, Yongmiao & Hsiao, Cheng, 2017. "Do China's high-speed-rail projects promote local economy?—New evidence from a panel data approach," China Economic Review, Elsevier, vol. 44(C), pages 203-226.
    21. Xiaolan Fu, 2008. "Foreign Direct Investment, Absorptive Capacity and Regional Innovation Capabilities: Evidence from China," Oxford Development Studies, Taylor & Francis Journals, vol. 36(1), pages 89-110.
    22. Guo, Qingbin & Wang, Yong & Dong, Xiaobin, 2022. "Effects of smart city construction on energy saving and CO2 emission reduction: Evidence from China," Applied Energy, Elsevier, vol. 313(C).
    23. Andrew Johnston & Robert Huggins, 2016. "The Spatio-Relational Nature of Urban Innovation Systems: Universities, Knowledge Intensive Business Service Firms, and Collaborative Networks," Journal of Urban Technology, Taylor & Francis Journals, vol. 23(1), pages 29-52, January.
    24. Mohammad Kamrul Hasan & Muhammad Shafiq & Shayla Islam & Bishwajeet Pandey & Yousef A. Baker El-Ebiary & Nazmus Shaker Nafi & R. Ciro Rodriguez & Doris Esenarro Vargas & Atif Khan, 2021. "Lightweight Cryptographic Algorithms for Guessing Attack Protection in Complex Internet of Things Applications," Complexity, Hindawi, vol. 2021, pages 1-13, April.
    25. Li, Pei & Lu, Yi & Wang, Jin, 2016. "Does flattening government improve economic performance? Evidence from China," Journal of Development Economics, Elsevier, vol. 123(C), pages 18-37.
    26. Linde, Lina & Sjödin, David & Parida, Vinit & Wincent, Joakim, 2021. "Dynamic capabilities for ecosystem orchestrationA capability-based framework for smart city innovation initiatives," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
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