IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v10y2021i10p1015-d644583.html
   My bibliography  Save this article

The Heterogeneous Influence of Infrastructure Construction on China’s Urban Green and Smart Development—The Threshold Effect of Urban Scale

Author

Listed:
  • Lingyan Xu

    (School of Management, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China
    Research Center for Green Development and Environmental Governance, Jiangsu University, Zhenjiang 212013, China)

  • Dandan Wang

    (School of Management, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China)

  • Jianguo Du

    (School of Management, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China
    Research Center for Green Development and Environmental Governance, Jiangsu University, Zhenjiang 212013, China)

Abstract

The construction of green and smart cities is an important approach to enhancing the level of high-quality development and modern governance, in which infrastructure construction is the antecedent condition. From the perspective of green total factor productivity (GTFP), this paper adopts the SBM–GML (Slack-Based Model and Global Malmquist–Luenberger) index to measure the urban green and smart development level (GSDL) considering smart input–output factors. Based on the panel data of China’s 223 prefecture-level cities from 2005 to 2018, the dynamic impacts, temporal, and spatial differences of energy, transportation, and telecommunication infrastructure construction on the urban GSDL are discussed, and the threshold effects of urban scale are tested. The following conclusions are drawn: (1) On the whole, energy infrastructure inhibits the urban GSDL, while transportation and telecommunication infrastructures significantly promote it. There are distinct spatial and temporal characteristics among the impacts of these three infrastructures on the urban GSDL, in which the facilitating role of transportation and telecommunication infrastructures are further enhanced during the period of 2013–2018. Furthermore, the impacts of these three infrastructures on the urban GSDL all show “U” shape in terms of non-linearity. (2) Economic development level and industrial structure have significant positive effects on the urban GSDL, whereas human capital only has positive effect in the northeast and southwest regions, and government scale shows no positive impact yet. (3) There is a single threshold for the impact of urban scale on these three infrastructures, among which the impacts of energy and transportation infrastructures on the urban GSDL remain consistent before and after the threshold, while the impact of telecommunication infrastructure on the urban GSDL varies from having no significance to being positive when crossing the threshold. Thus, capital investment for infrastructure construction should be further allocated reasonably, the positive potential of human capital should be fully released, and the urban scale should be appropriately controlled in the future.

Suggested Citation

  • Lingyan Xu & Dandan Wang & Jianguo Du, 2021. "The Heterogeneous Influence of Infrastructure Construction on China’s Urban Green and Smart Development—The Threshold Effect of Urban Scale," Land, MDPI, vol. 10(10), pages 1-17, September.
  • Handle: RePEc:gam:jlands:v:10:y:2021:i:10:p:1015-:d:644583
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/10/10/1015/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/10/10/1015/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Charles R. Hulten & Esra Bennathan & Sylaja Srinivasan, 2006. "Infrastructure, Externalities, and Economic Development: A Study of the Indian Manufacturing Industry," The World Bank Economic Review, World Bank, vol. 20(2), pages 291-308.
    2. Wei, Ting & Chen, Shaoqing, 2020. "Dynamic energy and carbon footprints of urban transportation infrastructures: Differentiating between existing and newly-built assets," Applied Energy, Elsevier, vol. 277(C).
    3. Pierre‐Richard Agénor & Barış Alpaslan, 2018. "Infrastructure And Industrial Development With Endogenous Skill Acquisition," Bulletin of Economic Research, Wiley Blackwell, vol. 70(4), pages 313-334, October.
    4. Bresson, Georges & Etienne, Jean-Michel & Mohnen, Pierre, 2016. "How Important Is Innovation? A Bayesian Factor-Augmented Productivity Model Based On Panel Data," Macroeconomic Dynamics, Cambridge University Press, vol. 20(8), pages 1987-2009, December.
    5. Pradhan, Rudra P. & Bagchi, Tapan P., 2013. "Effect of transportation infrastructure on economic growth in India: The VECM approach," Research in Transportation Economics, Elsevier, vol. 38(1), pages 139-148.
    6. Wolfgang Keller, 2002. "Geographic Localization of International Technology Diffusion," American Economic Review, American Economic Association, vol. 92(1), pages 120-142, March.
    7. Xia, Fan & Xu, Jintao, 2020. "Green total factor productivity: A re-examination of quality of growth for provinces in China," China Economic Review, Elsevier, vol. 62(C).
    8. Aiping Wang & Weifen Lin & Bei Liu & Hui Wang & Hong Xu, 2021. "Does Smart City Construction Improve the Green Utilization Efficiency of Urban Land?," Land, MDPI, vol. 10(6), pages 1-18, June.
    9. Vito Albino & Umberto Berardi & Rosa Maria Dangelico, 2015. "Smart Cities: Definitions, Dimensions, Performance, and Initiatives," Journal of Urban Technology, Taylor & Francis Journals, vol. 22(1), pages 3-21, January.
    10. Salas-Olmedo, María Henar & García, Patricia & Gutiérrez, Javier, 2015. "Accessibility and transport infrastructure improvement assessment: The role of borders and multilateral resistance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 110-129.
    11. Sun, Chuanwang & Zhang, Wenyue & Luo, Yuan & Xu, Yonghong, 2019. "The improvement and substitution effect of transportation infrastructure on air quality: An empirical evidence from China's rail transit construction," Energy Policy, Elsevier, vol. 129(C), pages 949-957.
    12. Diego Puga, 2002. "European regional policies in light of recent location theories," Journal of Economic Geography, Oxford University Press, vol. 2(4), pages 373-406, October.
    13. Thombre, Anurag & Agarwal, Amit, 2021. "A paradigm shift in urban mobility: Policy insights from travel before and after COVID-19 to seize the opportunity," Transport Policy, Elsevier, vol. 110(C), pages 335-353.
    14. Abe , Kazutomo & Wilson, John S., 2011. "Investing in Port Infrastructure to Lower Trade Costs in East Asia," East Asian Economic Review, Korea Institute for International Economic Policy, vol. 15(2), pages 3-32, June.
    15. Wolfgang Keller, 2004. "International Technology Diffusion," Journal of Economic Literature, American Economic Association, vol. 42(3), pages 752-782, September.
    16. Ping Lu & Jianhui Liu & Yunxuan Wang & Lei Ruan, 2021. "Can industrial agglomeration improve regional green total factor productivity in China? An empirical analysis based on spatial econometrics," Growth and Change, Wiley Blackwell, vol. 52(2), pages 1011-1039, June.
    17. Rahel M. Schomaker, 2017. "Public-Private Governance Regimes in the Global Sphere," Public Organization Review, Springer, vol. 17(1), pages 121-138, March.
    18. Wang, Chao & Lim, Ming K. & Zhang, Xinyi & Zhao, Longfeng & Lee, Paul Tae-Woo, 2020. "Railway and road infrastructure in the Belt and Road Initiative countries: Estimating the impact of transport infrastructure on economic growth," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 288-307.
    19. Stephen R. Yeaple & Stephen S. Golub, 2007. "International Productivity Differences, Infrastructure, and Comparative Advantage," Review of International Economics, Wiley Blackwell, vol. 15(2), pages 223-242, May.
    20. Xu, Zhen & Das, Debasish Kumar & Guo, Wei & Wei, Wendong, 2021. "Does power grid infrastructure stimulate regional economic growth?," Energy Policy, Elsevier, vol. 155(C).
    21. Ji, Xi & Yao, Yixin & Long, Xianling, 2018. "What causes PM2.5 pollution? Cross-economy empirical analysis from socioeconomic perspective," Energy Policy, Elsevier, vol. 119(C), pages 458-472.
    22. Kalu Ojah & Odongo Kodongo, 2016. "Does Infrastructure Really Explain Economic Growth in Sub-Saharan Africa?," Working Papers 653, Economic Research Southern Africa.
    23. Arup Mitra & Chandan Sharma & Marie-Ange Véganzonès-Varoudakis, 2016. "Infrastructure, Information and Communication Technology and Firms’ Productive Performance of the Indian Manufacturing," Post-Print halshs-01293608, HAL.
    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. Doan, Quang Cuong, 2024. "The spatiotemporal trends of urban-rural green spaces and their heterogeneous relationships with population and economic vitality: Evidence from the Red River Delta, Vietnam," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    2. liu, Zhizhong & Ju, Bin, 2023. "Network infrastructure construction and heterogeneous enterprise innovation quasi-natural experiment based on “Broadband China”," Information Economics and Policy, Elsevier, vol. 65(C).
    3. Lingyan Xu & Dandan Wang & Jianguo Du, 2022. "Spatial-Temporal Evolution and Influencing Factors of Urban Green and Smart Development Level in China: Evidence from 232 Prefecture-Level Cities," IJERPH, MDPI, vol. 19(7), pages 1-19, March.

    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. Sandy Dall'erba & Julie Le Gallo, 2008. "Regional convergence and the impact of European structural funds over 1989–1999: A spatial econometric analysis," Papers in Regional Science, Wiley Blackwell, vol. 87(2), pages 219-244, June.
    2. Ricardo Carvalho De Andrade Lima & Raul Da Mota Silveira Neto, 2016. "Physical and Human Capital and Brazilian Regional Growth: A Spatial Econometric Approach for the Period 1970–2010," Regional Studies, Taylor & Francis Journals, vol. 50(10), pages 1688-1701, October.
    3. Cerina, Fabio & Mureddu, Francesco, 2014. "Is agglomeration really good for growth? Global efficiency, interregional equity and uneven growth," Journal of Urban Economics, Elsevier, vol. 84(C), pages 9-22.
    4. Gabor Hunya & Mark S. Knell & Roman Römisch & Hermine Vidovic, 2003. "wiiw Structural Report 2003 on Central and Eastern Europe, Volume 2," wiiw Structural Report 2, The Vienna Institute for International Economic Studies, wiiw.
    5. Schulte, Patrick, 2015. "Does skill-biased technical change diffuse internationally?," ZEW Discussion Papers 15-088, ZEW - Leibniz Centre for European Economic Research.
    6. Daron Acemoglu & Philippe Aghion & Claire Lelarge & John Van Reenen & Fabrizio Zilibotti, 2007. "Technology, Information, and the Decentralization of the Firm," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(4), pages 1759-1799.
    7. Dietmar Harhoff & Elisabeth Mueller & John Van Reenen, 2014. "What are the Channels for Technology Sourcing? Panel Data Evidence from German Companies," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 23(1), pages 204-224, March.
    8. Bretschger, Lucas & Lechthaler, Filippo & Rausch, Sebastian & Zhang, Lin, 2017. "Knowledge diffusion, endogenous growth, and the costs of global climate policy," European Economic Review, Elsevier, vol. 93(C), pages 47-72.
    9. Thomas Bolli & Martin Woerter, 2013. "Technological Diversification and Innovation Performance," KOF Working papers 13-336, KOF Swiss Economic Institute, ETH Zurich.
    10. Marie-Ange Véganzonès-Varoudakis & Arup Mitra & Chandan Sharma, 2012. "Are Reforms Productive? Explaining Productivity and Efficiency in the Indian Manufacturing," Post-Print hal-03058727, HAL.
    11. Hyuk-Soo Kwon & Jihong Lee & Sokbae Lee & Ryungha Oh, 2022. "Knowledge spillovers and patent citations: trends in geographic localization, 1976–2015," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 31(3), pages 123-147, April.
    12. Grace Li Ann Yong & Kong Weng Ho, 2006. "Innovation, Imitation And Entrepreneurship," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 51(02), pages 147-173.
    13. James B. Ang & Jakob B. Madsen, 2012. "Risk capital, private credit, and innovative production," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 45(4), pages 1608-1639, November.
    14. Miketa, Asami & Mulder, Peter, 2005. "Energy productivity across developed and developing countries in 10 manufacturing sectors: Patterns of growth and convergence," Energy Economics, Elsevier, vol. 27(3), pages 429-453, May.
    15. Lucas Bretschger, 2003. "Growth in a Globalised Economy: The Effects of Capital Taxes and Tax Competition," CER-ETH Economics working paper series 03/24, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    16. Pedro de Faria & Francisco Lima, 2012. "Interdependence and spillovers: is firm performance affected by others’ innovation activities?," Applied Economics, Taylor & Francis Journals, vol. 44(36), pages 4765-4775, December.
    17. Manfred Fischer, 2011. "A spatial Mankiw–Romer–Weil model: theory and evidence," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(2), pages 419-436, October.
    18. Sergey Lychagin & Joris Pinkse & Margaret E. Slade & John Van Reenen, 2016. "Spillovers in Space: Does Geography Matter?," Journal of Industrial Economics, Wiley Blackwell, vol. 64(2), pages 295-335, June.
    19. Keith Head & Yao Amber Li & Asier Minondo, 2019. "Geography, Ties, and Knowledge Flows: Evidence from Citations in Mathematics," The Review of Economics and Statistics, MIT Press, vol. 101(4), pages 713-727, October.
    20. Jakob B. Madsen, 2008. "Economic Growth, TFP Convergence and the World Export of Ideas: A Century of Evidence," Scandinavian Journal of Economics, Wiley Blackwell, vol. 110(1), pages 145-167, March.

    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:gam:jlands:v:10:y:2021:i:10:p:1015-:d:644583. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.