IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v234y2020ics0378377419318207.html
   My bibliography  Save this article

Driving force analysis of irrigation water consumption using principal component regression analysis

Author

Listed:
  • Chen, Mengting
  • Luo, Yufeng
  • Shen, Yingying
  • Han, Zhenzhong
  • Cui, Yuanlai

Abstract

The effective management of irrigation water consumption is one of the main countermeasures to combat water shortages. This paper introduced an integrated approach to determine the major factors influencing irrigation water consumption in China. It combined multiple linear regression and principal component analysis to analyze the relationship between irrigation water consumption and influencing factors and then applied analytic hierarchy process and cluster analysis to analyze the spatial variation in driving factors of irrigation water consumption. Based on statistical data from the 31 provinces of China from 2000 to 2015, the results showed that irrigation water consumption was positively affected by the planting size, the ratio of surface water in water consumption (RSW), the planting structure, the annual ET0 (AE) and the annual average temperature (AAT); in contrast, consumption was generally negatively affected by irrigation technique, economic development, and annual rainfall (AR). The water consumption structure, irrigation technique and planting structure were major influential factors in most provinces of China, and there were significant differences in different regions; thus, regions should be restructured to be studied as subregions. For the total consumption of irrigation water, Central China was mainly affected by the water consumption structure, irrigation technique and climatic conditions, and North and Northwest China were hardly influenced by planting structure. Northeast, Southwest and southeastern coastal China were slightly affected by climatic conditions. For the per unit area irrigation water consumption, Central China was mainly affected by the water consumption structure, irrigation technique, planting size and climatic conditions, Southwest, South, East and Northeast China were mainly affected by the planting structure and planting size, and Northwest and North China were mainly influenced by the irrigation technique, water consumption structure and planting size.

Suggested Citation

  • Chen, Mengting & Luo, Yufeng & Shen, Yingying & Han, Zhenzhong & Cui, Yuanlai, 2020. "Driving force analysis of irrigation water consumption using principal component regression analysis," Agricultural Water Management, Elsevier, vol. 234(C).
    • Handle: RePEc:eee:agiwat:v:234:y:2020:i:c:s0378377419318207
    DOI: 10.1016/j.agwat.2020.106089
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377419318207
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2020.106089?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Taheri, Mercedeh & Emadzadeh, Maryam & Gholizadeh, Mohsen & Tajrishi, Masoud & Ahmadi, Mehdi & Moradi, Melika, 2019. "Investigating the temporal and spatial variations of water consumption in Urmia Lake River Basin considering the climate and anthropogenic effects on the agriculture in the basin," Agricultural Water Management, Elsevier, vol. 213(C), pages 782-791.
    2. Yan, Tingting & Wang, Jinxia & Huang, Jikun, 2015. "Urbanization, agricultural water use, and regional and national crop production in China," Ecological Modelling, Elsevier, vol. 318(C), pages 226-235.
    3. Blanke, Amelia & Rozelle, Scott & Lohmar, Bryan & Wang, Jinxia & Huang, Jikun, 2007. "Water saving technology and saving water in China," Agricultural Water Management, Elsevier, vol. 87(2), pages 139-150, January.
    4. Song, Jianfeng & Guo, Yanan & Wu, Pute & Sun, SHikun, 2018. "The Agricultural Water Rebound Effect in China," Ecological Economics, Elsevier, vol. 146(C), pages 497-506.
    5. Zhang, Dongmei & Guo, Ping, 2016. "Integrated agriculture water management optimization model for water saving potential analysis," Agricultural Water Management, Elsevier, vol. 170(C), pages 5-19.
    6. Abu-Madi, Maher O., 2009. "Farm-level perspectives regarding irrigation water prices in the Tulkarm district, Palestine," Agricultural Water Management, Elsevier, vol. 96(9), pages 1344-1350, September.
    7. Kang, Shaozhong & Hao, Xinmei & Du, Taisheng & Tong, Ling & Su, Xiaoling & Lu, Hongna & Li, Xiaolin & Huo, Zailin & Li, Sien & Ding, Risheng, 2017. "Improving agricultural water productivity to ensure food security in China under changing environment: From research to practice," Agricultural Water Management, Elsevier, vol. 179(C), pages 5-17.
    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. Wu, Di & Cui, Yuanlai & Li, Dacheng & Chen, Manyu & Ye, Xugang & Fan, Guofu & Gong, Lanqiang, 2021. "Calculation framework for agricultural irrigation water consumption in multi-source irrigation systems," Agricultural Water Management, Elsevier, vol. 244(C).
    2. Wenbo Li & Alim Samat & Jilili Abuduwaili & Wei Wang, 2024. "Spatiotemporal Pattern, Evolutionary Trend, and Driving Forces Analysis of Ecological Quality in the Irtysh River Basin (2000–2020)," Land, MDPI, vol. 13(2), pages 1-28, February.
    3. Xin Liu & Xuefeng Sang & Jiaxuan Chang & Yang Zheng & Yuping Han, 2021. "The water supply association analysis method in Shenzhen based on kmeans clustering discretization and apriori algorithm," PLOS ONE, Public Library of Science, vol. 16(8), pages 1-21, August.
    4. Awais, Minahil & Afzal, Ayesha & Firdousi, Saba & Hasnaoui, Amir, 2023. "Is fintech the new path to sustainable resource utilisation and economic development?," Resources Policy, Elsevier, vol. 81(C).

    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. Cao, Zhaodan & Zhu, Tingju & Cai, Ximing, 2023. "Hydro-agro-economic optimization for irrigated farming in an arid region: The Hetao Irrigation District, Inner Mongolia," Agricultural Water Management, Elsevier, vol. 277(C).
    2. Zhang, Chenglong & Guo, Ping, 2018. "FLFP: A fuzzy linear fractional programming approach with double-sided fuzziness for optimal irrigation water allocation," Agricultural Water Management, Elsevier, vol. 199(C), pages 105-119.
    3. Giovanni Pino & Pierluigi Toma & Cristian Rizzo & Pier Paolo Miglietta & Alessandro M. Peluso & Gianluigi Guido, 2017. "Determinants of Farmers’ Intention to Adopt Water Saving Measures: Evidence from Italy," Sustainability, MDPI, vol. 9(1), pages 1-14, January.
    4. Shi, Rongchao & Wang, Jintao & Tong, Ling & Du, Taisheng & Shukla, Manoj Kumar & Jiang, Xuelian & Li, Donghao & Qin, Yonghui & He, Liuyue & Bai, Xiaorui & Guo, Xiaoxu, 2022. "Optimizing planting density and irrigation depth of hybrid maize seed production under limited water availability," Agricultural Water Management, Elsevier, vol. 271(C).
    5. Yongsheng Wang & Xiao Cui & Xinrong Zhang & Qi Wen, 2022. "Exploring the Sustainable Use Strategy of Scarce Water Resources for Rural Revitalization in Yanchi County from Arid Region of Northwest China," IJERPH, MDPI, vol. 19(23), pages 1-13, December.
    6. Ren, Dongyang & Xu, Xu & Engel, Bernard & Huang, Quanzhong & Xiong, Yunwu & Huo, Zailin & Huang, Guanhua, 2021. "A comprehensive analysis of water productivity in natural vegetation and various crops coexistent agro-ecosystems," Agricultural Water Management, Elsevier, vol. 243(C).
    7. Wu, Zhangsheng & Li, Yue & Wang, Rong & Xu, Xu & Ren, Dongyang & Huang, Quanzhong & Xiong, Yunwu & Huang, Guanhua, 2023. "Evaluation of irrigation water saving and salinity control practices of maize and sunflower in the upper Yellow River basin with an agro-hydrological model based method," Agricultural Water Management, Elsevier, vol. 278(C).
    8. 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.
    9. El-Saied E. Metwaly & Hatim M. Al-Yasi & Esmat F. Ali & Hamada A. Farouk & Saad Farouk, 2022. "Deteriorating Harmful Effects of Drought in Cucumber by Spraying Glycinebetaine," Agriculture, MDPI, vol. 12(12), pages 1-16, December.
    10. Yang, Danni & Li, Sien & Kang, Shaozhong & Du, Taisheng & Guo, Ping & Mao, Xiaomin & Tong, Ling & Hao, Xinmei & Ding, Risheng & Niu, Jun, 2020. "Effect of drip irrigation on wheat evapotranspiration, soil evaporation and transpiration in Northwest China," Agricultural Water Management, Elsevier, vol. 232(C).
    11. Zhai, Yijie & Zhang, Tianzuo & Ma, Xiaotian & Shen, Xiaoxu & Ji, Changxing & Bai, Yueyang & Hong, Jinglan, 2021. "Life cycle water footprint analysis of crop production in China," Agricultural Water Management, Elsevier, vol. 256(C).
    12. Yan, Nana & Wu, Bingfang & Perry, Chris & Zeng, Hongwei, 2015. "Assessing potential water savings in agriculture on the Hai Basin plain, China," Agricultural Water Management, Elsevier, vol. 154(C), pages 11-19.
    13. Bao-Li Miao & Ying Liu & Yu-Bing Fan & Xue-Jiao Niu & Xiu-Yun Jiang & Zeng Tang, 2023. "Optimization of Agricultural Resource Allocation among Crops: A Portfolio Model Analysis," Land, MDPI, vol. 12(10), pages 1-18, October.
    14. Jovanovic, N. & Pereira, L.S. & Paredes, P. & Pôças, I. & Cantore, V. & Todorovic, M., 2020. "A review of strategies, methods and technologies to reduce non-beneficial consumptive water use on farms considering the FAO56 methods," Agricultural Water Management, Elsevier, vol. 239(C).
    15. Jincai Zhao & Yiyao Wang & Xiufeng Zhang & Qianxi Liu, 2022. "Industrial and Agricultural Water Use Efficiency and Influencing Factors in the Process of Urbanization in the Middle and Lower Reaches of the Yellow River Basin, China," Land, MDPI, vol. 11(8), pages 1-18, August.
    16. Taboada, Cristal & Mamani, Armando & Raes, Dirk & Mathijs, Erik & Garcia, Magalí & Geerts, Sam & Gilles, Jere, 2011. "Farmers’ willingness to adopt irrigation for quinoa in communities of the Central Altiplano of Bolivia," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB) "San Pablo", issue 16, pages 7-28, Noviembre.
    17. Louis Sears & Joseph Caparelli & Clouse Lee & Devon Pan & Gillian Strandberg & Linh Vuu & C. -Y. Cynthia Lin Lawell, 2018. "Jevons’ Paradox and Efficient Irrigation Technology," Sustainability, MDPI, vol. 10(5), pages 1-12, May.
    18. Dániel Fróna & János Szenderák & Mónika Harangi-Rákos, 2019. "The Challenge of Feeding the World," Sustainability, MDPI, vol. 11(20), pages 1-18, October.
    19. Li, Xiaolin & Tong, Ling & Niu, Jun & Kang, Shaozhong & Du, Taisheng & Li, Sien & Ding, Risheng, 2017. "Spatio-temporal distribution of irrigation water productivity and its driving factors for cereal crops in Hexi Corridor, Northwest China," Agricultural Water Management, Elsevier, vol. 179(C), pages 55-63.
    20. Ran, Hui & Kang, Shaozhong & Li, Fusheng & Du, Taisheng & Tong, Ling & Li, Sien & Ding, Risheng & Zhang, Xiaotao, 2018. "Parameterization of the AquaCrop model for full and deficit irrigated maize for seed production in arid Northwest China," Agricultural Water Management, Elsevier, vol. 203(C), pages 438-450.

    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:eee:agiwat:v:234:y:2020:i:c:s0378377419318207. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    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.