IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i16p5758-d396620.html
   My bibliography  Save this article

Research on the Decoupling of Water Resources Utilization and Agricultural Economic Development in Gansu Province from the Perspective of Water Footprint

Author

Listed:
  • Changfeng Shi

    (Business School, Hohai University, Jinling North Road NO.200, Changzhou 213022, China)

  • Hang Yuan

    (Business School, Hohai University, Jinling North Road NO.200, Changzhou 213022, China)

  • Qinghua Pang

    (Business School, Hohai University, Jinling North Road NO.200, Changzhou 213022, China)

  • Yangyang Zhang

    (School of Economics and Management, Southeast University, Nanjing 211189, China)

Abstract

Objectively evaluating the decoupling status of water resources utilization and economic development is an important sign of judging the sustainability of regional economic development. From the perspective of water footprint (WF), this paper expands the scope of water resources accounting by assessing agricultural blue WF, green WF and gray WF. The Tapio decoupling index was used to explore the decoupling status of agricultural WF and economic development in Gansu Province from 2006 to 2015, and the logarithmic mean divisor index (LMDI) decomposition model was used to identify the main driving factors of agricultural WF changes and explore the degree of divergence between agricultural economic development and water resources utilization. The results showed that agricultural economic growth was a main factor for the increase of WF; the improvement of agricultural production technology had a restraining effect, and the population effect and structural effect had a lesser effect. During the research period, the relationship between agricultural WF and economic growth in Gansu Province changed from weak decoupling to strong decoupling, and the contributing factors to decoupling were in descending order: economic, technological, structural and population. Finally, this paper puts forward suggestions on optimizing planting structure, improving agricultural technology and economic development mode to promote the sustainable development of local agriculture.

Suggested Citation

  • Changfeng Shi & Hang Yuan & Qinghua Pang & Yangyang Zhang, 2020. "Research on the Decoupling of Water Resources Utilization and Agricultural Economic Development in Gansu Province from the Perspective of Water Footprint," IJERPH, MDPI, vol. 17(16), pages 1-16, August.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:16:p:5758-:d:396620
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/16/5758/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/16/5758/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gene M. Grossman & Alan B. Krueger, 1995. "Economic Growth and the Environment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 353-377.
    2. Hatzigeorgiou, Emmanouil & Polatidis, Heracles & Haralambopoulos, Dias, 2008. "CO2 emissions in Greece for 1990–2002: A decomposition analysis and comparison of results using the Arithmetic Mean Divisia Index and Logarithmic Mean Divisia Index techniques," Energy, Elsevier, vol. 33(3), pages 492-499.
    3. Linna Chen & Shiyi Chen, 2015. "The Estimation of Environmental Kuznets Curve in China: Nonparametric Panel Approach," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 405-420, October.
    4. Lei Qiu & Jingyi Huang & Wenjuan Niu, 2018. "Decoupling and Driving Factors of Economic Growth and Groundwater Consumption in the Coastal Areas of the Yellow Sea and the Bohai Sea," Sustainability, MDPI, vol. 10(11), pages 1-17, November.
    5. Zhang, Shulin & Su, Xiaoling & Singh, Vijay P & Ayantobo, Olusola Olaitan & Xie, Juan, 2018. "Logarithmic Mean Divisia Index (LMDI) decomposition analysis of changes in agricultural water use: a case study of the middle reaches of the Heihe River basin, China," Agricultural Water Management, Elsevier, vol. 208(C), pages 422-430.
    6. Jiefeng Kang & Jianyi Lin & Xiaofeng Zhao & Shengnan Zhao & Limin Kou, 2017. "Decomposition of the Urban Water Footprint of Food Consumption: A Case Study of Xiamen City," Sustainability, MDPI, vol. 9(1), pages 1-14, January.
    7. Chapagain, A.K. & Hoekstra, A.Y., 2011. "The blue, green and grey water footprint of rice from production and consumption perspectives," Ecological Economics, Elsevier, vol. 70(4), pages 749-758, February.
    8. Yuanhong Tian & Matthias Ruth & Dajian Zhu, 2017. "Using the IPAT identity and decoupling analysis to estimate water footprint variations for five major food crops in China from 1978 to 2010," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(6), pages 2355-2375, December.
    9. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    10. Ang, B.W & Zhang, F.Q & Choi, Ki-Hong, 1998. "Factorizing changes in energy and environmental indicators through decomposition," Energy, Elsevier, vol. 23(6), pages 489-495.
    11. Zhao, Rongqin & Liu, Ying & Tian, Mengmeng & Ding, Minglei & Cao, Lianhai & Zhang, Zhanping & Chuai, Xiaowei & Xiao, Liangang & Yao, Lunguang, 2018. "Impacts of water and land resources exploitation on agricultural carbon emissions: The water-land-energy-carbon nexus," Land Use Policy, Elsevier, vol. 72(C), pages 480-492.
    12. Chapagain, A.K. & Hoekstra, A.Y. & Savenije, H.H.G. & Gautam, R., 2006. "The water footprint of cotton consumption: An assessment of the impact of worldwide consumption of cotton products on the water resources in the cotton producing countries," Ecological Economics, Elsevier, vol. 60(1), pages 186-203, November.
    13. Shasha Wang & Rongrong Li, 2018. "Toward the Coordinated Sustainable Development of Urban Water Resource Use and Economic Growth: An Empirical Analysis of Tianjin City, China," Sustainability, MDPI, vol. 10(5), pages 1-13, April.
    14. Zhao, X. & Tillotson, M.R. & Liu, Y.W. & Guo, W. & Yang, A.H. & Li, Y.F., 2017. "Index decomposition analysis of urban crop water footprint," Ecological Modelling, Elsevier, vol. 348(C), pages 25-32.
    15. Liang, Wei & Gan, Ting & Zhang, Wei, 2019. "Dynamic evolution of characteristics and decomposition of factors influencing industrial carbon dioxide emissions in China: 1991–2015," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 93-106.
    16. Matthew Egan, 2011. "The Water Footprint Assessment Manual. Setting the Global Standard," Social and Environmental Accountability Journal, Taylor & Francis Journals, vol. 31(2), pages 181-182, September.
    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. Ruihua Shen & Lei Yao, 2022. "Exploring the Regional Coordination Relationship between Water Utilization and Urbanization Based on Decoupling Analysis: A Case Study of the Beijing–Tianjin–Hebei Region," IJERPH, MDPI, vol. 19(11), pages 1-19, June.
    2. Changfeng Shi & Luji Li & Yung‐Ho Chiu & Yanying Wang & Ang Li, 2023. "Decoupling analysis of water consumption and economic development of arid and semiarid regions in Northwest China," Natural Resources Forum, Blackwell Publishing, vol. 47(2), pages 192-213, May.
    3. Yijing Chu & Yingying Wang & Zucheng Zhang & Shengli Dai, 2022. "Decoupling of Economic Growth and Industrial Water Use in Hubei Province: From an Ecological–Economic Interaction Perspective," Sustainability, MDPI, vol. 14(20), pages 1-15, October.
    4. Tianzi Zhang & Xiaojun Wang & Guangping Qi & Shamsuddin Shahid & Yanxia Kang & Hao Wu & Xiangning Zhang, 2023. "Analysis of the Decoupling State and Driving Effects of Economic Development and Production Water Use in Jiangsu Province, China," Sustainability, MDPI, vol. 15(13), pages 1-16, June.
    5. Mengjiao Wang & Xiaofang Xu & Liyuan Zheng & Xiaolu Xu & Yukuo Zhang, 2023. "Analysis of the Relationship between Economic Development and Water Resources–Ecological Management Capacity in China Based on Nighttime Lighting Data," IJERPH, MDPI, vol. 20(3), pages 1-19, January.

    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. Löschel, Andreas & Pothen, Frank & Schymura, Michael, 2015. "Peeling the onion: Analyzing aggregate, national and sectoral energy intensity in the European Union," Energy Economics, Elsevier, vol. 52(S1), pages 63-75.
    2. Chen, Yufeng & Miao, Jiafeng, 2023. "What Determines China’s Agricultural Non-Point Source Pollution? An Improved LMDI Decomposition Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 48(2), May.
    3. Baležentis, Alvydas & Baležentis, Tomas & Streimikiene, Dalia, 2011. "The energy intensity in Lithuania during 1995–2009: A LMDI approach," Energy Policy, Elsevier, vol. 39(11), pages 7322-7334.
    4. Jung, Seok & An, Kyoung-Jin & Dodbiba, Gjergj & Fujita, Toyohisa, 2012. "Regional energy-related carbon emission characteristics and potential mitigation in eco-industrial parks in South Korea: Logarithmic mean Divisia index analysis based on the Kaya identity," Energy, Elsevier, vol. 46(1), pages 231-241.
    5. Liu, Gengyuan & Hao, Yan & Zhou, Yun & Yang, Zhifeng & Zhang, Yan & Su, Meirong, 2016. "China's low-carbon industrial transformation assessment based on Logarithmic Mean Divisia Index model," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 156-170.
    6. Fernández González, P. & Landajo, M. & Presno, M.J., 2014. "Tracking European Union CO2 emissions through LMDI (logarithmic-mean Divisia index) decomposition. The activity revaluation approach," Energy, Elsevier, vol. 73(C), pages 741-750.
    7. M'raihi, Rafaa & Mraihi, Talel & Harizi, Riadh & Taoufik Bouzidi, Mohamed, 2015. "Carbon emissions growth and road freight: Analysis of the influencing factors in Tunisia," Transport Policy, Elsevier, vol. 42(C), pages 121-129.
    8. Cansino, José M. & Sánchez-Braza, Antonio & Rodríguez-Arévalo, María L., 2018. "How can Chile move away from a high carbon economy?," Energy Economics, Elsevier, vol. 69(C), pages 350-366.
    9. Fernández González, P. & Presno, M.J. & Landajo, M., 2015. "Regional and sectoral attribution to percentage changes in the European Divisia carbonization index," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1437-1452.
    10. Hongjun Lei & Xunfeng Xia & Changjia Li & Beidou Xi, 2012. "Decomposition Analysis of Wastewater Pollutant Discharges in Industrial Sectors of China (2001–2009) Using the LMDI I Method," IJERPH, MDPI, vol. 9(6), pages 1-15, June.
    11. Jiang, Shan & Zhu, Yongnan & He, Guohua & Wang, Qingming & Lu, Yajing, 2020. "Factors influencing China’s non-residential power consumption: Estimation using the Kaya–LMDI methods," Energy, Elsevier, vol. 201(C).
    12. Román-Collado, Rocío & Cansino, José M. & Botia, Camilo, 2018. "How far is Colombia from decoupling? Two-level decomposition analysis of energy consumption changes," Energy, Elsevier, vol. 148(C), pages 687-700.
    13. David Font Vivanco & René Kemp & Ester Voet & Reinout Heijungs, 2014. "Using LCA-based Decomposition Analysis to Study the Multidimensional Contribution of Technological Innovation to Environmental Pressures," Journal of Industrial Ecology, Yale University, vol. 18(3), pages 380-392, May.
    14. Patiño, Lourdes Isabel & Alcántara, Vicent & Padilla, Emilio, 2021. "Driving forces of CO2 emissions and energy intensity in Colombia," Energy Policy, Elsevier, vol. 151(C).
    15. Tan, Xianchun & Dong, Lele & Chen, Dexue & Gu, Baihe & Zeng, Yuan, 2016. "China’s regional CO2 emissions reduction potential: A study of Chongqing city," Applied Energy, Elsevier, vol. 162(C), pages 1345-1354.
    16. Chen, Qingjuan & Wang, Qunwei & Zhou, Dequn & Wang, Honggang, 2023. "Drivers and evolution of low-carbon development in China's transportation industry: An integrated analytical approach," Energy, Elsevier, vol. 262(PB).
    17. Wang, Zhaojing & Jiang, Qingzhe & Dong, Kangyin & Mubarik, Muhammad Shujaat & Dong, Xiucheng, 2020. "Decomposition of the US CO2 emissions and its mitigation potential: An aggregate and sectoral analysis," Energy Policy, Elsevier, vol. 147(C).
    18. Changfeng Shi & Luji Li & Yung‐Ho Chiu & Yanying Wang & Ang Li, 2023. "Decoupling analysis of water consumption and economic development of arid and semiarid regions in Northwest China," Natural Resources Forum, Blackwell Publishing, vol. 47(2), pages 192-213, May.
    19. Yanan Chen & Sheng Lin, 2015. "Decomposition and allocation of energy-related carbon dioxide emission allowance over provinces of 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. 76(3), pages 1893-1909, April.
    20. Dong, Kangyin & Hochman, Gal & Timilsina, Govinda R., 2020. "Do drivers of CO2 emission growth alter overtime and by the stage of economic development?," Energy Policy, Elsevier, vol. 140(C).

    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:17:y:2020:i:16:p:5758-:d:396620. 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.