IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i10p5977-d815679.html
   My bibliography  Save this article

Resource and Environmental Pressures on the Transformation of Planting Industry in Arid Oasis

Author

Listed:
  • Jing Huang

    (School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China)

  • Dongqian Xue

    (School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China)

  • Chuansheng Wang

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Jiehu Chen

    (School of Computer Science, Shaanxi Normal University, Xi’an 710119, China)

Abstract

Controlling environmental pollutant discharge and water resource demand is crucial for the sustainable development of agriculture and rural areas in arid oases. Taking Ganzhou, an arid oasis in Northwest China, as an example, we established an analysis framework for the relationship between the planting industry transformation and the resource and environmental pressures, from 2011 to 2020, through the methods of inventory, coefficient and quota accounting. The results showed that the planting scale of crops in oases has continuously expanded, with a structural dominance of corn seed production. Pollutant discharge showed a “Z”-type evolution trend, and the demand for water consumption continued to increase. The transformation of the planting industry and pollutant discharge showed coupled trade-offs and a synergetic alternating fluctuations coupling relationship, which was highly co-evolutionary with the demand for water resources. Crop planting exhibited four spatial patterns, namely the mixed planting area of grain and cash crops grown in mountain areas (GCPA), suburban scale vegetable planting (SVPA), planting of seed production corn (MSPA), and the compound planting area of grain crops, oil crops, vegetables, and other characteristic crops (CMPA). MSPA and SVPA had the highest total and average volume per unit area, respectively. The planting industry transformation and evolution of resource and environment pressures are closely related to changes in national strategies, regional agricultural policies, and environmental regulations. Therefore, studying their relationships provides a scientific basis for the formulation of suitable countermeasures, according to the development stage of a region.

Suggested Citation

  • Jing Huang & Dongqian Xue & Chuansheng Wang & Jiehu Chen, 2022. "Resource and Environmental Pressures on the Transformation of Planting Industry in Arid Oasis," IJERPH, MDPI, vol. 19(10), pages 1-18, May.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:5977-:d:815679
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/10/5977/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/10/5977/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Managi, Shunsuke, 2006. "Are there increasing returns to pollution abatement? Empirical analytics of the Environmental Kuznets Curve in pesticides," Ecological Economics, Elsevier, vol. 58(3), pages 617-636, June.
    2. Kaika, Dimitra & Zervas, Efthimios, 2013. "The Environmental Kuznets Curve (EKC) theory—Part A: Concept, causes and the CO2 emissions case," Energy Policy, Elsevier, vol. 62(C), pages 1392-1402.
    3. Burakov, D., 2019. "Does Agriculture Matter for Environmental Kuznets Curve in Russia: Evidence from the ARDL Bounds Tests Approach," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 11(3), September.
    4. George Vlontzos & Spyros Niavis & Panos Pardalos, 2017. "Testing for Environmental Kuznets Curve in the EU Agricultural Sector through an Eco-(in)Efficiency Index," Energies, MDPI, vol. 10(12), pages 1-15, December.
    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. Jiaqi Lu & Xifeng Zhang & Shuiming Liang & Xiaowei Cui, 2023. "Spatiotemporal Dynamics of Vegetation Index in an Oasis-Desert Transition Zone and Relationship with Environmental Factors," Sustainability, MDPI, vol. 15(4), pages 1-18, February.

    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. Yu, Xiaohong & Xu, Haiyan & Lou, Wengao & Xu, Xun & Shi, Victor, 2023. "Examining energy eco-efficiency in China's logistics industry," International Journal of Production Economics, Elsevier, vol. 258(C).
    2. Sugiawan, Yogi & Managi, Shunsuke, 2016. "The environmental Kuznets curve in Indonesia: Exploring the potential of renewable energy," Energy Policy, Elsevier, vol. 98(C), pages 187-198.
    3. Raul Arango Miranda & Robert Hausler & Rabindranarth Romero Lopez & Mathias Glaus & Jose Ramon Pasillas-Diaz, 2020. "Testing the Environmental Kuznets Curve Hypothesis in North America’s Free Trade Agreement (NAFTA) Countries," Energies, MDPI, vol. 13(12), pages 1-13, June.
    4. Eleni Zafeiriou & Christos Karelakis & Inmaculada Martínez-Zarzoso & Konstantinos Galanopoulos & Dimitra Gkika, 2023. "Economic Development and Pesticide Use in EU Agriculture: A Nonlinear Panel Data Autoregressive Distributed Lag Approach," Agriculture, MDPI, vol. 13(9), pages 1-22, August.
    5. George Vlontzos & Spyros Niavis & Panos Pardalos, 2017. "Testing for Environmental Kuznets Curve in the EU Agricultural Sector through an Eco-(in)Efficiency Index," Energies, MDPI, vol. 10(12), pages 1-15, December.
    6. Béchir Ben Lahouel & Younes Ben Zaied & Guo-liang Yang & Maria-Giuseppina Bruna & Yaoyao Song, 2022. "A non-parametric decomposition of the environmental performance-income relationship: evidence from a non-linear model," Annals of Operations Research, Springer, vol. 313(1), pages 525-558, June.
    7. Raúl Arango-Miranda & Robert Hausler & Rabindranarth Romero-Lopez & Mathias Glaus & Sara P. Ibarra-Zavaleta, 2018. "Carbon Dioxide Emissions, Energy Consumption and Economic Growth: A Comparative Empirical Study of Selected Developed and Developing Countries. “The Role of Exergy”," Energies, MDPI, vol. 11(10), pages 1-16, October.
    8. Jikun Jiang & Shenglai Zhu & Weihao Wang, 2022. "Carbon Emissions, Economic Growth, Urbanization, and Foreign Trade in China: Empirical Evidence from ARDL Models," Sustainability, MDPI, vol. 14(15), pages 1-15, August.
    9. Ghimire, Narishwar & Woodward, Richard T., 2013. "Under- and over-use of pesticides: An international analysis," Ecological Economics, Elsevier, vol. 89(C), pages 73-81.
    10. Nuno Carlos Leitão, 2021. "Testing the Role of Trade on Carbon Dioxide Emissions in Portugal," Economies, MDPI, vol. 9(1), pages 1-15, February.
    11. Stern, David I. & Gerlagh, Reyer & Burke, Paul J., 2017. "Modeling the emissions–income relationship using long-run growth rates," Environment and Development Economics, Cambridge University Press, vol. 22(6), pages 699-724, December.
    12. Mazzanti, Massimiliano & Montini, Anna & Zoboli, Roberto, 2006. "Municipal Waste Production, Economic Drivers, and 'New' Waste Policies: EKC Evidence from Italian Regional and Provincial Panel Data," Climate Change Modelling and Policy Working Papers 12053, Fondazione Eni Enrico Mattei (FEEM).
    13. Evangelos V. Dioikitopoulos & Sugata Ghosh & Eugenia Vella, 2016. "Technological Progress, Time Perception and Environmental Sustainability," Working Papers 2016002, The University of Sheffield, Department of Economics.
    14. Carmen Díaz-Roldán & María del Carmen Ramos-Herrera, 2021. "Innovations and ICT: Do They Favour Economic Growth and Environmental Quality?," Energies, MDPI, vol. 14(5), pages 1-17, March.
    15. Kaveh Madani, 2021. "Have International Sanctions Impacted Iran’s Environment?," World, MDPI, vol. 2(2), pages 1-22, April.
    16. Róbert Csalódi & Tímea Czvetkó & Viktor Sebestyén & János Abonyi, 2022. "Sectoral Analysis of Energy Transition Paths and Greenhouse Gas Emissions," Energies, MDPI, vol. 15(21), pages 1-26, October.
    17. Setareh Katircioglu, 2022. "Estimating the role of urban development in environment quality: Evidence from G7 countries," Energy & Environment, , vol. 33(2), pages 283-314, March.
    18. Managi, Shunsuke & Jena, Pradyot Ranjan, 2008. "Environmental productivity and Kuznets curve in India," Ecological Economics, Elsevier, vol. 65(2), pages 432-440, April.
    19. Liobikienė, Genovaitė & Butkus, Mindaugas, 2017. "Environmental Kuznets Curve of greenhouse gas emissions including technological progress and substitution effects," Energy, Elsevier, vol. 135(C), pages 237-248.
    20. David I. Stern, 2017. "The environmental Kuznets curve after 25 years," Journal of Bioeconomics, Springer, vol. 19(1), pages 7-28, April.

    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:10:p:5977-:d:815679. 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.