IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i23p15844-d986798.html
   My bibliography  Save this article

The Economic Value of Water Ecology in Sponge City Construction Based on a Ternary Interactive System

Author

Listed:
  • Wenzhao Zhou

    (School of Management, Jilin University, Changchun 130025, China
    Dalian Branch, China Development Bank, Dalian 116001, China)

  • Yufei Wang

    (Economic Information Center of Jilin Province, Changchun 130061, China)

  • Xi Wang

    (Economic Research Institute of Jilin Academy of Social Sciences, Changchun 130032, China)

  • Peng Gao

    (Qingdao Transportation Public Service Center, Qingdao Municipal Transport Bureau, Qingdao 266061, China)

  • Ciyun Lin

    (School of Transportation, Jilin University, Changchun 130022, China)

Abstract

Ecological water resources occupy a vital position in the national economy; without sufficient ecological water resources, the construction and economic development of sponge cities would be seriously restricted. Appropriately, the Chinese government proposed that sponge city planning should be carried out in accordance with the number of available ecological water resources. The government therefore put forward the method of conservation and intensification to solve the problem of water shortage. This paper highlights the interactions between ecological water resources, sponge cities, and economic development in northern China, starting with the interaction and mechanism of action that concerns ecological water resource utilization, sponge cities, and economic development. In the empirical test, the dynamic changes of the three indicators were analyzed empirically using the panel data vector autoregression method, and the dynamic relationship of each factor was measured using generalized moment estimation. It was found that ecological water resources are a key factor in promoting regional economic development, and the relationship between ecological water resources and sponge cities is both supportive and constraining; therefore, the constraints that ecological water resources place on sponge cities also indirectly affects economic development. To disconnect the use of water and ecological resources from economic development, it is necessary to note the following: the feedback effect of economic development and the resolution of the contradiction between sponge cities, water, and ecological resource use.

Suggested Citation

  • Wenzhao Zhou & Yufei Wang & Xi Wang & Peng Gao & Ciyun Lin, 2022. "The Economic Value of Water Ecology in Sponge City Construction Based on a Ternary Interactive System," IJERPH, MDPI, vol. 19(23), pages 1-15, November.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:15844-:d:986798
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/23/15844/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/23/15844/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pablo Álvarez, 2018. "The water footprint challenge for water resources management in Chilean arid zones," Water International, Taylor & Francis Journals, vol. 43(6), pages 846-859, August.
    2. Kebai Li & Tianyi Ma & Guo Wei, 2018. "Multiple Urban Domestic Water Systems: Method for Simultaneously Stabilized Robust Control Decision," Sustainability, MDPI, vol. 10(11), pages 1-22, November.
    3. Yin Su & Weijun Gao & Dongjie Guan & Tai’an Zuo, 2020. "Achieving Urban Water Security: a Review of Water Management Approach from Technology Perspective," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(13), pages 4163-4179, October.
    4. Menyelim M. Chima & Abiola Ayopo Babajide & Alex Adegboye & Segun Kehinde & Oluwatobi Fasheyitan, 2021. "The Relevance of Financial Inclusion on Sustainable Economic Growth in Sub-Saharan African Nations," Sustainability, MDPI, vol. 13(10), pages 1-20, May.
    5. Robert Jennrich & Peter Bentler, 2011. "Exploratory Bi-Factor Analysis," Psychometrika, Springer;The Psychometric Society, vol. 76(4), pages 537-549, October.
    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. Wenying Wang & Shuwen Wang, 2024. "Sustainable Stormwater Management for Different Types of Water-Scarce Cities: Environmental Policy Effect of Sponge City Projects in China," Sustainability, MDPI, vol. 16(13), pages 1-21, July.

    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. Li Yang & Yue Xu & Junqi Zhu & Keyu Sun, 2024. "Research on Water Ecological Resilience Measurement and Influencing Factors: A Case Study of the Yangtze River Economic Belt, China," Sustainability, MDPI, vol. 16(16), pages 1-23, August.
    2. Allison Lassiter & Nicole Leonard, 2022. "A systematic review of municipal smart water for climate adaptation and mitigation," Environment and Planning B, , vol. 49(5), pages 1406-1430, June.
    3. Daohan Huang & Zihao Shen & Chengshuang Sun & Guijun Li, 2021. "Shifting from Production-Based to Consumption-Based Nexus Governance: Evidence from an Input–Output Analysis of the Local Water-Energy-Food Nexus," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(6), pages 1673-1688, April.
    4. Carlo Cavicchia & Maurizio Vichi & Giorgia Zaccaria, 2020. "The ultrametric correlation matrix for modelling hierarchical latent concepts," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 14(4), pages 837-853, December.
    5. Renato Frey & Shannon M. Duncan & Elke U. Weber, 2023. "Towards a typology of risk preference: Four risk profiles describe two-thirds of individuals in a large sample of the U.S. population," Journal of Risk and Uncertainty, Springer, vol. 66(1), pages 1-17, February.
    6. Zongzhi Wang & Ailing Ye & Kelin Liu & Liting Tan, 2021. "Optimal Model of Desalination Planning Under Uncertainties in a Water Supply System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(10), pages 3277-3295, August.
    7. Linlin Wang & Rongchang Wang & Haiyan Yan, 2021. "System-Dynamics Modeling for Exploring the Impact of Industrial-Structure Adjustment on the Water Quality of the River Network in the Yangtze Delta Area," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    8. Michela Gnaldi, 2017. "A multidimensional IRT approach for dimensionality assessment of standardised students’ tests in mathematics," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1167-1182, May.
    9. Charley Xia & Sarah J. Pickett & David C. M. Liewald & Alexander Weiss & Gavin Hudson & W. David Hill, 2023. "The contributions of mitochondrial and nuclear mitochondrial genetic variation to neuroticism," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    10. Robert Jennrich & Peter Bentler, 2012. "Exploratory Bi-factor Analysis: The Oblique Case," Psychometrika, Springer;The Psychometric Society, vol. 77(3), pages 442-454, July.
    11. Torbjørn Torsheim & Franco Cavallo & Kate Ann Levin & Christina Schnohr & Joanna Mazur & Birgit Niclasen & Candace Currie, 2016. "Psychometric Validation of the Revised Family Affluence Scale: a Latent Variable Approach," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 9(3), pages 771-784, September.
    12. G. Ferrarese & S. Malavasi, 2022. "Performances of Pressure Reducing Valves in Variable Demand Conditions: Experimental Analysis and New Performance Parameters," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(8), pages 2639-2652, June.
    13. Carla Sabariego & Cornelia Oberhauser & Aleksandra Posarac & Jerome Bickenbach & Nenad Kostanjsek & Somnath Chatterji & Alana Officer & Michaela Coenen & Lay Chhan & Alarcos Cieza, 2015. "Measuring Disability: Comparing the Impact of Two Data Collection Approaches on Disability Rates," IJERPH, MDPI, vol. 12(9), pages 1-23, August.
    14. Kebai Li & Tianyi Ma & Tom Dooling & Guo Wei, 2019. "Urban Comprehensive Water Consumption: Nonlinear Control of Production Factor Input Based upon the C-D Function," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    15. Kebai Li & Tianyi Ma & Guo Wei & Yuqian Zhang & Xueyan Feng, 2019. "Urban Industrial Water Supply and Demand: System Dynamic Model and Simulation Based on Cobb–Douglas Function," Sustainability, MDPI, vol. 11(21), pages 1-18, October.
    16. Luk Bruyneel & Else Tambuyzer & Ellen Coeckelberghs & Dirk De Wachter & Walter Sermeus & Dirk De Ridder & Dirk Ramaekers & Ilse Weeghmans & Kris Vanhaecht, 2017. "New Instrument to Measure Hospital Patient Experiences in Flanders," IJERPH, MDPI, vol. 14(11), pages 1-14, October.
    17. Farid Anvari & Stephan Billinger & Pantelis P. Analytis & Vithor Rosa Franco & Davide Marchiori, 2024. "Testing the convergent validity, domain generality, and temporal stability of selected measures of people’s tendency to explore," Nature Communications, Nature, vol. 15(1), pages 1-23, December.
    18. Jan-Benedict E.M. Steenkamp & Alberto Maydeu-Olivares, 2021. "An updated paradigm for evaluating measurement invariance incorporating common method variance and its assessment," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 5-29, January.
    19. Niels G. Waller, 2018. "Direct Schmid–Leiman Transformations and Rank-Deficient Loadings Matrices," Psychometrika, Springer;The Psychometric Society, vol. 83(4), pages 858-870, December.

    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:jijerp:v:19:y:2022:i:23:p:15844-:d:986798. 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.