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The Impact of Internet Development on Urban Eco-Efficiency—A Quasi-Natural Experiment of “Broadband China” Pilot Policy

Author

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  • Xiaoying Zhong

    (School of Economics and Statistics, Guangzhou University, Guangzhou 510006, China
    Business School, Nanfang College Guangzhou, Guangzhou 510970, China)

  • Guanghai Liu

    (School of Management, Guangzhou University, Guangzhou 510006, China)

  • Peng Chen

    (Industry and Planning Research Institute, China Academy of Information and Communications Technology, Guangzhou 510030, China)

  • Kaili Ke

    (School of Economics and Management, Southwest Jiaotong University, Chengdu 610031, China)

  • Ruhe Xie

    (School of Management, Guangzhou University, Guangzhou 510006, China)

Abstract

Based on the panel data of 285 prefecture-level cities and above in China from 2005 to 2019, this paper takes the “Broadband China” pilot policy as a quasi-natural experiment and evaluates the impact of Internet development on urban eco-efficiency (symbolized by the “Broadband China” policy) by constructing multi-period difference-in-difference (DID) and spatial DID models. Results show that: the “Broadband China” pilot policy significantly improves the urban eco-efficiency: the eco-efficiency in pilot cities is about 16.8% higher than that in other cities. The results remain consistent after testing for robustness, including using estimation methods, excluding the sample of key cities, changing core explanatory variables, and introducing instrumental variables. Next, the influence of the “Broadband China” pilot policy on eco-efficiency is characterized by significant regional heterogeneity: Internet development significantly improves the eco-efficiency in the central, eastern and northeastern regions that are economically more developed and not resource-dependent. In contrast, this effect is not obvious in the western region that is economically less developed and resource-dependent. Moreover, the influencing mechanism of Internet development on eco-efficiency suggests that the “Broadband China” strategy boosts urban eco-efficiency by increasing the Internet penetration rate, improving technological innovation capacity, and upgrading the industrial structure. In addition, results from the spatial DID models indicate that the “Broadband China” pilot policy improves the eco-efficiency in local cities and significantly enhances that in neighboring cities. Based on this, this paper puts forward some suggestions regarding promoting new network infrastructure construction and differentiating development policies to fit local conditions.

Suggested Citation

  • Xiaoying Zhong & Guanghai Liu & Peng Chen & Kaili Ke & Ruhe Xie, 2022. "The Impact of Internet Development on Urban Eco-Efficiency—A Quasi-Natural Experiment of “Broadband China” Pilot Policy," IJERPH, MDPI, vol. 19(3), pages 1-23, January.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:3:p:1363-:d:734337
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    as
    1. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    2. Delgado, Michael S. & Florax, Raymond J.G.M., 2015. "Difference-in-differences techniques for spatial data: Local autocorrelation and spatial interaction," Economics Letters, Elsevier, vol. 137(C), pages 123-126.
    3. Guo Xu, 2018. "The Costs of Patronage: Evidence from the British Empire," American Economic Review, American Economic Association, vol. 108(11), pages 3170-3198, November.
    4. 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.
    5. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    6. Holl, Adelheid, 2004. "Manufacturing location and impacts of road transport infrastructure: empirical evidence from Spain," Regional Science and Urban Economics, Elsevier, vol. 34(3), pages 341-363, May.
    7. Ghisetti, Claudia & Quatraro, Francesco, 2017. "Green Technologies and Environmental Productivity: A Cross-sectoral Analysis of Direct and Indirect Effects in Italian Regions," Ecological Economics, Elsevier, vol. 132(C), pages 1-13.
    8. Choi, Changkyu, 2010. "The effect of the Internet on service trade," Economics Letters, Elsevier, vol. 109(2), pages 102-104, November.
    9. Quariguasi Frota Neto, J. & Walther, G. & Bloemhof, J. & van Nunen, J.A.E.E. & Spengler, T., 2009. "A methodology for assessing eco-efficiency in logistics networks," European Journal of Operational Research, Elsevier, vol. 193(3), pages 670-682, March.
    10. Jonas Hjort & Jonas Poulsen, 2019. "The Arrival of Fast Internet and Employment in Africa," American Economic Review, American Economic Association, vol. 109(3), pages 1032-1079, March.
    11. Long, Xingle & Zhao, Xicang & Cheng, Faxin, 2015. "The comparison analysis of total factor productivity and eco-efficiency in China's cement manufactures," Energy Policy, Elsevier, vol. 81(C), pages 61-66.
    12. Daron Acemoglu & Pascual Restrepo, 2017. "Robots and Jobs: Evidence from US Labor Markets," Boston University - Department of Economics - Working Papers Series dp-297, Boston University - Department of Economics.
    13. Chagas, André L.S. & Azzoni, Carlos R. & Almeida, Alexandre N., 2016. "A spatial difference-in-differences analysis of the impact of sugarcane production on respiratory diseases," Regional Science and Urban Economics, Elsevier, vol. 59(C), pages 24-36.
    14. Avom, Désiré & Nkengfack, Hilaire & Fotio, Hervé Kaffo & Totouom, Armand, 2020. "ICT and environmental quality in Sub-Saharan Africa: Effects and transmission channels," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    15. Serdar Yilmaz & Kingley E. Haynes & Mustafa Dinc, 2002. "Geographic and Network Neighbors: Spillover Effects of Telecommunications Infrastructure," Journal of Regional Science, Wiley Blackwell, vol. 42(2), pages 339-360, May.
    16. Xiaoying Zhong & Ruhe Xie & Peng Chen & Kaili Ke, 2021. "Internet Development and Environmental Quality—Evidence from the Development of Chinese Cities," Sustainability, MDPI, vol. 13(20), pages 1-21, October.
    17. Wang, Ying & Chen, Xiangyuan, 2020. "Natural resource endowment and ecological efficiency in China: Revisiting resource curse in the context of ecological efficiency," Resources Policy, Elsevier, vol. 66(C).
    18. Wursthorn, Sibylle & Poganietz, Witold-Roger & Schebek, Liselotte, 2011. "Economic-environmental monitoring indicators for European countries: A disaggregated sector-based approach for monitoring eco-efficiency," Ecological Economics, Elsevier, vol. 70(3), pages 487-496, January.
    19. Gao, Yanyan & Zang, Leizhen & Sun, Jun, 2018. "Does computer penetration increase farmers’ income? An empirical study from China," Telecommunications Policy, Elsevier, vol. 42(5), pages 345-360.
    20. Wu, Haitao & Xue, Yan & Hao, Yu & Ren, Siyu, 2021. "How does internet development affect energy-saving and emission reduction? Evidence from China," Energy Economics, Elsevier, vol. 103(C).
    21. 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.
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    6. Lingyue Qiu, 2023. "Does Internet Infrastructure Construction Improve Corporate Green Innovation? Evidence from China," Sustainability, MDPI, vol. 15(1), pages 1-26, January.

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