IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i22p9678-d447973.html
   My bibliography  Save this article

Spatio-Temporal Variations of Crop Water Footprint and Its Influencing Factors in Xinjiang, China during 1988–2017

Author

Listed:
  • Aihua Long

    (College of Water Conservancy and Architectural Engineering, Shihezi University, Shihezi 832003, China
    State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Pei Zhang

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Yang Hai

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Xiaoya Deng

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Junfeng Li

    (College of Water Conservancy and Architectural Engineering, Shihezi University, Shihezi 832003, China)

  • Jie Wang

    (College of Water Conservancy and Architectural Engineering, Shihezi University, Shihezi 832003, China)

Abstract

Scientifically determining agricultural water consumption is fundamental to the optimum allocation and regulation of regional water resources. However, traditional statistical methods used for determining agricultural water consumption in China do not reflect the actual use of water resources. This paper determined the variation in the crop water footprint (CWF) to reflect the actual agricultural water consumption in Xinjiang, China, during the past 30 years, and the data from 15 crops were included. In addition, the STIRPAT (stochastic impacts by regression on population, affluence and technology) model was used to determine the factors influencing the CWF. The results showed that the CWF in Xinjiang increased by 256% during the 30-year period. Factors such as population, agricultural added value, and effective irrigated area were correlated with an increase in the CWF. This study also showed that the implementation of national and regional policies significantly accelerated the expansion of agricultural production areas and increased the amount of agricultural water used. The objectives of this paper were to identify the factors influencing the CWF, give a new perspective for further analysis of the relationship between agricultural growth and water resources utilization, and provide a reference for local policy decision-makers in Xinjiang.

Suggested Citation

  • Aihua Long & Pei Zhang & Yang Hai & Xiaoya Deng & Junfeng Li & Jie Wang, 2020. "Spatio-Temporal Variations of Crop Water Footprint and Its Influencing Factors in Xinjiang, China during 1988–2017," Sustainability, MDPI, vol. 12(22), pages 1-15, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9678-:d:447973
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/22/9678/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/22/9678/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Happe, K. & Hutchings, N.J. & Dalgaard, T. & Kellerman, K., 2011. "Modelling the interactions between regional farming structure, nitrogen losses and environmental regulation," Agricultural Systems, Elsevier, vol. 104(3), pages 281-291, March.
    2. York, Richard & Rosa, Eugene A. & Dietz, Thomas, 2003. "STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts," Ecological Economics, Elsevier, vol. 46(3), pages 351-365, October.
    3. Katarzyna Pietrucha-Urbanik & Janusz R. Rak, 2020. "Consumers’ Perceptions of the Supply of Tap Water in Crisis Situations," Energies, MDPI, vol. 13(14), pages 1-20, July.
    4. Xinchun Cao & Pute Wu & Yubao Wang & Xining Zhao, 2014. "Water Footprint of Grain Product in Irrigated Farmland of China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(8), pages 2213-2227, June.
    5. Wang, Yanyun & Long, Aihua & Xiang, Liyun & Deng, Xiaoya & Zhang, Pei & Hai, Yang & Wang, Jie & Li, Yang, 2020. "The verification of Jevons’ paradox of agricultural Water conservation in Tianshan District of China based on Water footprint," Agricultural Water Management, Elsevier, vol. 239(C).
    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. Yunfei Feng & Yi Zhang & Zhaodan Wu & Quanliang Ye & Xinchun Cao, 2023. "Evaluation of Agricultural Eco-Efficiency and Its Spatiotemporal Differentiation in China, Considering Green Water Consumption and Carbon Emissions Based on Undesired Dynamic SBM-DEA," Sustainability, MDPI, vol. 15(4), pages 1-26, 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. Claudia García-García & Catalina B. García-García & Román Salmerón, 2021. "Confronting collinearity in environmental regression models: evidence from world data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(3), pages 895-926, September.
    2. Ren, Siyu & Hao, Yu & Xu, Lu & Wu, Haitao & Ba, Ning, 2021. "Digitalization and energy: How does internet development affect China's energy consumption?," Energy Economics, Elsevier, vol. 98(C).
    3. Fan, Fei & Dai, Shangze & Yang, Bo & Ke, Haiqian, 2023. "Urban density, directed technological change, and carbon intensity: An empirical study based on Chinese cities," Technology in Society, Elsevier, vol. 72(C).
    4. Nicole Grunewald & Inmaculada Martínez-Zarzoso, 2009. "Driving Factors of Carbon Dioxide Emissions and the Impact from Kyoto Protocol," Ibero America Institute for Econ. Research (IAI) Discussion Papers 190, Ibero-America Institute for Economic Research.
    5. Juan Antonio Duro & Jordi Teixidó-Figueras & Emilio Padilla, 2017. "The Causal Factors of International Inequality in $$\hbox {CO}_{2}$$ CO 2 Emissions Per Capita: A Regression-Based Inequality Decomposition Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 67(4), pages 683-700, August.
    6. Lei Gao & Taowu Pei & Jingran Zhang & Yu Tian, 2022. "The “Pollution Halo” Effect of FDI: Evidence from the Chinese Sichuan–Chongqing Urban Agglomeration," IJERPH, MDPI, vol. 19(19), pages 1-17, September.
    7. Saikku, Laura & Rautiainen, Aapo & Kauppi, Pekka E., 2008. "The sustainability challenge of meeting carbon dioxide targets in Europe by 2020," Energy Policy, Elsevier, vol. 36(2), pages 730-742, February.
    8. Liddle, Brantley, 2013. "Population, Affluence, and Environmental Impact Across Development: Evidence from Panel Cointegration Modeling," MPRA Paper 52088, University Library of Munich, Germany.
    9. Ling Xiong & Shaozhou Qi, 2018. "Financial Development And Carbon Emissions In Chinese Provinces: A Spatial Panel Data Analysis," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(02), pages 447-464, March.
    10. Józef Ober & Janusz Karwot, 2021. "Tap Water Quality: Seasonal User Surveys in Poland," Energies, MDPI, vol. 14(13), pages 1-22, June.
    11. Zhenxiang Cao & Liqing Peng, 2023. "The Impact of Digital Economics on Environmental Quality: A System Dynamics Approach," SAGE Open, , vol. 13(4), pages 21582440231, December.
    12. Xi Liu & Yugang He & Renhong Wu, 2024. "Revolutionizing Environmental Sustainability: The Role of Renewable Energy Consumption and Environmental Technologies in OECD Countries," Energies, MDPI, vol. 17(2), pages 1-21, January.
    13. Casey, Gregory & Galor, Oded, 2017. "Is faster economic growth compatible with reductions in carbon emissions? The role of diminished population growth," MPRA Paper 76164, University Library of Munich, Germany.
    14. Aihua Wang & Qiqi Ruan & Teng Zhou & Yanzhen Wang, 2022. "Digitizable Product Trade Development and Carbon Emission: Evidence from 94 Countries," Sustainability, MDPI, vol. 14(22), pages 1-15, November.
    15. Hu, Zongyi & Tang, Liwei, 2013. "Exploring the relation between urbanization and residential CO2 emissions in China: a PTR approach," MPRA Paper 55379, University Library of Munich, Germany.
    16. Adnan Khurshid & Abdur Rauf & Sadia Qayyum & Adrian Cantemir Calin & WenQi Duan, 2023. "Green innovation and carbon emissions: the role of carbon pricing and environmental policies in attaining sustainable development targets of carbon mitigation—evidence from Central-Eastern Europe," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8777-8798, August.
    17. Ahmed, Khalid, 2015. "The sheer scale of China’s urban renewal and CO2 emissions: Multiple structural breaks, long-run relationship and short-run dynamics," MPRA Paper 71035, University Library of Munich, Germany.
    18. Haiqian Ke & Wenyi Yang & Xiaoyang Liu & Fei Fan, 2020. "Does Innovation Efficiency Suppress the Ecological Footprint? Empirical Evidence from 280 Chinese Cities," IJERPH, MDPI, vol. 17(18), pages 1-23, September.
    19. Teixidó Figueras, Jordi & Duro Moreno, Juan Antonio, 2012. "Ecological Footprint Inequality: A methodological review and some results," Working Papers 2072/203168, Universitat Rovira i Virgili, Department of Economics.
    20. Mina Baliamoune-Lutz, 2017. "Trade and Environmental Quality in African Countries: Do Institutions Matter?," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 43(1), pages 155-172, January.

    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:22:p:9678-:d:447973. 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.