IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v12y2022i2p135-d728773.html
   My bibliography  Save this article

The Ecology-Economy-Transport Nexus: Evidence from Fujian Province, China

Author

Listed:
  • Wulin Wang

    (College of Environment and Safety Engineering, Fuzhou University, 2 North Wulongjiang Avenue, Fuzhou 350108, China)

  • Jiao Gong

    (College of Environment and Safety Engineering, Fuzhou University, 2 North Wulongjiang Avenue, Fuzhou 350108, China)

  • Wenyue Yang

    (College of Forestry and Landscape Architecture, South China Agricultural University, 483 Wushan Road, Guangzhou 510642, China)

  • Jingyu Zeng

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, 19 Xinjiekou Wai Dajie, Beijing 100875, China)

Abstract

The coordinated relationship between ecology, economy and transportation is essential for regional sustainable development. Does the high-quality ecological environment mean the lagging development of economy and transportation, or does the rapid growth of the economy and transportation lead to the deterioration of the ecological environment? To shed new light on the complicated relationship between ecology, economy and transportation, our study aims to construct three comprehensive indicators, including an ecological index (EI), economic development level (EC) and transport superiority degree (TR), to reflect the systems mentioned above, and to measure the coordination of the three indicators’ development and evolution using a model of the coordination degree (CD). Specifically, and by applying methods for the indicators’ normalization, including superposition analysis and principal component analysis, the three indicators’ values are reasonably evaluated for measuring their coordination relationship. The above three indicators use data from 58 counties in Fujian province from 2000 to 2018 in our study. All three indicators show differences in the west and east of Fujian province; the EI is relatively low in the eastern coastal areas and relatively high in the western mountainous areas, the EC shows a relatively discrete and irregular distribution and the distribution pattern of the TR is almost the opposite of the EI. The CD shows a relationship among the three indicators, with the EI and EC coordinated in most counties and the EI and TR coordinated in most counties, while the highly coordinated counties are mainly distributed in the northwest and east coastal regions of Fujian province in 2000, and the northwest, south and northeast of Fujian province in 2018. More than 50% of the county EC and TR values are kept in a coordinated state, and are mainly distributed in the eastern coast and central part of Fujian province. Over 50% of counties’ CD between EI and EC, EI and TR and EC and TR are in a coordinated state. The CD of the EI and EC and TR, in most counties, are in a coordinated state, mainly distributed in the eastern coast and central areas of Fujian province. In other words, the findings show that the coordinated state of ecology, economy and transportation can be achieved at the county level of Fujian province. These conclusions have significant reference value for understanding regional sustainable development.

Suggested Citation

  • Wulin Wang & Jiao Gong & Wenyue Yang & Jingyu Zeng, 2022. "The Ecology-Economy-Transport Nexus: Evidence from Fujian Province, China," Agriculture, MDPI, vol. 12(2), pages 1-17, January.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:2:p:135-:d:728773
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/12/2/135/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/12/2/135/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jeroen Bergh, 1993. "A framework for modelling economy-environment-development relationships based on dynamic carrying capacity and sustainable development feedback," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 3(4), pages 395-412, August.
    2. Remme, Roy P. & Edens, Bram & Schröter, Matthias & Hein, Lars, 2015. "Monetary accounting of ecosystem services: A test case for Limburg province, the Netherlands," Ecological Economics, Elsevier, vol. 112(C), pages 116-128.
    3. Hawdon, David & Pearson, Peter, 1995. "Input-output simulations of energy, environment, economy interactions in the UK," Energy Economics, Elsevier, vol. 17(1), pages 73-86, January.
    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. Zhongwu Zhang & Huimin Li & Yongjian Cao, 2022. "Research on the Coordinated Development of Economic Development and Ecological Environment of Nine Provinces (Regions) in the Yellow River Basin," Sustainability, MDPI, vol. 14(20), pages 1-14, October.

    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. Shahbaz, Muhammad & Hoang, Thi Hong Van & Mahalik, Mantu Kumar & Roubaud, David, 2017. "Energy consumption, financial development and economic growth in India: New evidence from a nonlinear and asymmetric analysis," Energy Economics, Elsevier, vol. 63(C), pages 199-212.
    2. Murthy, N. S. & Panda, Manoj & Parikh, Jyoti, 1997. "Economic development, poverty reduction and carbon emissions in India," Energy Economics, Elsevier, vol. 19(3), pages 327-354, July.
    3. Esther Velázquez Alonso, 2003. "Modelo Input-Output de Agua. Análisis de las relaciones intersectoriales de agua en Andalucía," Economic Working Papers at Centro de Estudios Andaluces E2003/01, Centro de Estudios Andaluces.
    4. Perrels, Adriaan & Weber, Christoph, 2000. "Modelling Impacts of Lifestyle on Energy Demand and Related Emissions," Discussion Papers 228, VATT Institute for Economic Research.
    5. Velazquez, Esther, 2006. "An input-output model of water consumption: Analysing intersectoral water relationships in Andalusia," Ecological Economics, Elsevier, vol. 56(2), pages 226-240, February.
    6. Suling He & Jinliang Wang & Jie Li & Jinming Sha & Jinchun Zhou & Yuanmei Jiao, 2024. "Quantification and Simulation of the Ecosystem Service Value of Karst Region in Southwest China," Land, MDPI, vol. 13(6), pages 1-21, June.
    7. Schmidt, Stefan & Seppelt, Ralf, 2018. "Information content of global ecosystem service databases and their suitability for decision advice," Ecosystem Services, Elsevier, vol. 32(PA), pages 22-40.
    8. Llop, Maria, 2017. "Changes in energy output in a regional economy: A structural decomposition analysis," Energy, Elsevier, vol. 128(C), pages 145-151.
    9. Vallecillo, Sara & La Notte, Alessandra & Ferrini, Silvia & Maes, Joachim, 2019. "How ecosystem services are changing: an accounting application at the EU level," Ecosystem Services, Elsevier, vol. 40(C).
    10. Chang, Yih F & Lin, Sue J, 1998. "Structural decomposition of industrial CO2 emission in Taiwan: an input-output approach," Energy Policy, Elsevier, vol. 26(1), pages 5-12, January.
    11. José L Oviedo & Pablo Campos & Alejandro Caparrós, 2022. "Contingent valuation of landowner demand for forest amenities: application in Andalusia, Spain," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(3), pages 615-643.
    12. Minihan, Erin S. & Wu, Ziping, 2012. "Economic structure and strategies for greenhouse gas mitigation," Energy Economics, Elsevier, vol. 34(1), pages 350-357.
    13. Wei Yang & Junnian Song & Yoshiro Higano & Jie Tang, 2015. "An Integrated Simulation Model for Dynamically Exploring the Optimal Solution to Mitigating Water Scarcity and Pollution," Sustainability, MDPI, vol. 7(2), pages 1-24, February.
    14. Fu, Z.H. & Xie, Y.L. & Li, W. & Lu, W.T. & Guo, H.C., 2017. "An inexact multi-objective programming model for an economy-energy-environment system under uncertainty: A case study of Urumqi, China," Energy, Elsevier, vol. 126(C), pages 165-178.
    15. Burke, Thomas & Whyatt, J. Duncan & Rowland, Clare & Blackburn, G. Alan & Abbatt, Jon, 2020. "The influence of land cover data on farm-scale valuations of natural capital," Ecosystem Services, Elsevier, vol. 42(C).
    16. Oliveira, Carla & Antunes, Carlos Henggeler, 2011. "A multi-objective multi-sectoral economy–energy–environment model: Application to Portugal," Energy, Elsevier, vol. 36(5), pages 2856-2866.
    17. Carvalho, Terciane Sabadini & Santiago, Flaviane Souza & Perobelli, Fernando Salgueiro, 2013. "International trade and emissions: The case of the Minas Gerais state — 2005," Energy Economics, Elsevier, vol. 40(C), pages 383-395.
    18. Liu, Hongtao & Xi, Youmin & Guo, Ju'e & Li, Xia, 2010. "Energy embodied in the international trade of China: An energy input-output analysis," Energy Policy, Elsevier, vol. 38(8), pages 3957-3964, August.
    19. Lv, J. & Li, Y.P. & Huang, G.H. & Ding, Y.K. & Li, X. & Li, Y., 2022. "Planning energy economy and eco-environment nexus system under uncertainty: A copula-based stochastic multi-level programming method," Applied Energy, Elsevier, vol. 312(C).
    20. Sung-In Na, 2000. "Input-output analysis of CO 2 emissions for the industrial sector in Korea," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 3(3), pages 311-333, September.

    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:jagris:v:12:y:2022:i:2:p:135-:d:728773. 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.