IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i6p2263-d332357.html
   My bibliography  Save this article

An Empirical Study of the Impact of Urbanization on Industry Water Footprint in China

Author

Listed:
  • Daxue Kan

    (School of Economics and Trade, Nanchang Institute of Technology, No.289 Tianxiang Road, Nanchang 330099, China)

  • Weichiao Huang

    (Department of Economics, Western Michigan University, 1903 W. Michigan Ave., Kalamazoo, MI 49008-5330, USA
    Specially appointed professor, City College, Wuhan University of Science and Technology, No.947 Heping Avenue, Wuhan 430081, China)

Abstract

How to advance new urbanization initiatives and reduce the water footprint of industries is one urgent issue about urbanization that needs to be resolved. Based on spatial dynamic panel data, we used the system GMM (Generalized Method of Moments) to study the impact of urbanization on the industrial water footprint. The results show that, overall, urbanization increases the industrial water footprint, industrial virtual water footprint, and industrial gray water footprint in China. There are sectoral and regional differences in the impact of urbanization. Specifically, urbanization reduces the agricultural water footprint and agricultural virtual water footprint but raises the agricultural gray water footprint. Urbanization increases the manufacturing water footprint, manufacturing virtual water footprint, and gray water footprint. Urbanization reduces the virtual water footprint of the service industry but increases the water footprint and gray water footprint in the service industry. At the regional level, urbanization increases the industrial water footprint and gray water footprint across the three major regions. In the eastern region, urbanization has little effect on increasing the industrial water footprint, and reduces the industrial virtual water footprint, whereas in the central and western regions urbanization increases the industrial virtual water footprint. In all three regions, urbanization reduces the agricultural water footprint, increases the manufacturing and service water footprints, reduces the virtual water footprints of agriculture and services, and increases the gray water footprint of agriculture, manufacturing, and services. In the eastern region, the reducing effect of urbanization is the greatest and the increasing effect of urbanization is the smallest. Additionally, in the eastern region, urbanization has reduced the virtual water footprint of manufacturing, whereas in the central and western regions urbanization has increased the virtual water footprint of manufacturing.

Suggested Citation

  • Daxue Kan & Weichiao Huang, 2020. "An Empirical Study of the Impact of Urbanization on Industry Water Footprint in China," Sustainability, MDPI, vol. 12(6), pages 1-21, March.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:6:p:2263-:d:332357
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/6/2263/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/6/2263/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daxue KAN & Weichiao HUANG, 2019. "Empirical Study of the Impact of Outward Foreign Direct Investment on Water Footprint Benefit in China," Sustainability, MDPI, vol. 11(16), pages 1-16, August.
    2. Xuhui Ding & Zhu Fu & Hongwen Jia, 2019. "Study on Urbanization Level, Urban Primacy and Industrial Water Utilization Efficiency in the Yangtze River Economic Belt," Sustainability, MDPI, vol. 11(23), pages 1-13, November.
    3. Julian Fulton & Heather Cooley & Peter Gleick, 2014. "Water Footprint Outcomes and Policy Relevance Change with Scale Considered: Evidence from California," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3637-3649, September.
    4. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    5. Bocchiola, D. & Nana, E. & Soncini, A., 2013. "Impact of climate change scenarios on crop yield and water footprint of maize in the Po valley of Italy," Agricultural Water Management, Elsevier, vol. 116(C), pages 50-61.
    6. Yue Zhang & Kai Huang & Yajuan Yu & Tingting Hu & Jing Wei, 2015. "Impact of climate change and drought regime on water footprint of crop production: the case of Lake Dianchi Basin, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(1), pages 549-566, October.
    7. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    8. Wang, Yan, 2020. "Urban land and sustainable resource use: Unpacking the countervailing effects of urbanization on water use in China, 1990–2014," Land Use Policy, Elsevier, vol. 90(C).
    9. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    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. Daxue Kan & Wenqing Yao & Lianju Lyu & Weichiao Huang, 2022. "Temporal and Spatial Difference Analysis and Impact Factors of Water Ecological Civilization Level: Evidence from Jiangxi Province, China," Land, MDPI, vol. 11(9), pages 1-19, September.
    2. Jian Chang & Wanhua Li & Yaodong Zhou & Peng Zhang & Hengxin Zhang, 2022. "Impact of Public Service Quality on the Efficiency of the Water Industry: Evidence from 147 Cities in China," Sustainability, MDPI, vol. 14(22), pages 1-17, November.

    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. Daxue KAN & Weichiao HUANG, 2019. "Empirical Study of the Impact of Outward Foreign Direct Investment on Water Footprint Benefit in China," Sustainability, MDPI, vol. 11(16), pages 1-16, August.
    2. Daniel Ştefan Armeanu & Georgeta Vintilă & Ştefan Cristian Gherghina, 2017. "Empirical Study towards the Drivers of Sustainable Economic Growth in EU-28 Countries," Sustainability, MDPI, vol. 10(1), pages 1-22, December.
    3. Youngho Kang & Byung-Yeon Kim, 2018. "Immigration and economic growth: do origin and destination matter?," Applied Economics, Taylor & Francis Journals, vol. 50(46), pages 4968-4984, October.
    4. Cho, Seo-young & Vadlamannati, Krishna Chaitanya, 2010. "Compliance for big brothers: An empirical analysis on the impact of the anti-trafficking protocol," University of Göttingen Working Papers in Economics 118, University of Goettingen, Department of Economics.
    5. Vieira, Flávio & MacDonald, Ronald & Damasceno, Aderbal, 2012. "The role of institutions in cross-section income and panel data growth models: A deeper investigation on the weakness and proliferation of instruments," Journal of Comparative Economics, Elsevier, vol. 40(1), pages 127-140.
    6. Hakkala, Katariina & Heyman, Fredrik & Sjöholm, Fredrik, 2007. "Cross-Border Acquisitions, Multinationals and Wage Elasticities," Working Paper Series 709, Research Institute of Industrial Economics.
    7. Tuba DERYA-BASKAN & Eda BALIKÇIOĞLU, 2018. "Firma Bileşenlerinin Halka Açık Perakende Firmalarında Kurumlar Vergisine Etkisi," Sosyoekonomi Journal, Sosyoekonomi Society, issue 26(37).
    8. Kitazawa, Yoshitsugu, 2001. "Exponential regression of dynamic panel data models," Economics Letters, Elsevier, vol. 73(1), pages 7-13, October.
    9. Nuno Carlos LEITÃO & Muhammad SHAHBAZ, 2012. "Migration and Tourism Demand," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(2(567)), pages 39-48, February.
    10. Alessandra Canepa & Fawaz Khaled, 2018. "Housing, Housing Finance and Credit Risk," IJFS, MDPI, vol. 6(2), pages 1-23, May.
    11. Tahir Andrabi & Jishnu Das & Asim Ijaz Khwaja & Tristan Zajonc, 2011. "Do Value-Added Estimates Add Value? Accounting for Learning Dynamics," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 29-54, July.
    12. Efobi, Uchenna & Asongu, Simplice & Okafor, Chinelo & Tchamyou, Vanessa & Tanankem, Belmondo, 2016. "Diaspora Remittance Inflow, Financial Development and the Industrialisation of Africa," MPRA Paper 76121, University Library of Munich, Germany.
    13. Han, Chirok & Kim, Hyoungjong, 2014. "The role of constant instruments in dynamic panel estimation," Economics Letters, Elsevier, vol. 124(3), pages 500-503.
    14. Emrah Kocak & Hayriye Hilal Baglitas, 2022. "The path to sustainable municipal solid waste management: Do human development, energy efficiency, and income inequality matter?," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(6), pages 1947-1962, December.
    15. Huy Quang Doan, 2019. "Trade, Institutional Quality and Income: Empirical Evidence for Sub-Saharan Africa," Economies, MDPI, vol. 7(2), pages 1-23, May.
    16. Eschenhof, Sabine, 2009. "Standard Taylor rules revisited: A cross country study for European countries," Darmstadt Discussion Papers in Economics 196, Darmstadt University of Technology, Department of Law and Economics.
    17. Kjetil Bjorvatn & Mohammad Reza Farzanegan, 2014. "Resource Rents, Power, and Political Stability," CESifo Working Paper Series 4727, CESifo.
    18. Briglauer, Wolfgang & Dürr, Niklas S. & Gugler, Klaus, 2019. "A retrospective study on the regional benefits and spillover effects of high-speed broadband networks: Evidence from German counties," ZEW Discussion Papers 19-026, ZEW - Leibniz Centre for European Economic Research.
    19. Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Governance, capital flight and industrialisation in Africa," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-22, December.
    20. Simplice A Asongu, 2013. "On the Obituary of Scientific Knowledge Monopoly," Economics Bulletin, AccessEcon, vol. 33(4), pages 2718-2731.

    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:jsusta:v:12:y:2020:i:6:p:2263-:d:332357. 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.