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Distribution and drivers for blue water dependence in crop production in China, 1999–2018

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  • Wu, Nan
  • Zhang, Jianyun
  • Gao, Xinyu
  • Wang, Xiaojun
  • Wu, Mengyang
  • Cao, Xinchun

Abstract

The process of blue water used in crop cultivation has both natural and economic properties due to the intervention of irrigation facilities. This study revealed crop water use (CWU) from 1999 to 2018 in each province of China based on water footprint theory, and then established the blue water dependence index (BDI) to evaluate the dependence of agricultural cultivation on irrigation water from the perspective of water withdraw, and conducted a spatial and temporal pattern analysis.The influencing factors and structural pathways of BDI were explored using least squares structural equation modeling (PLS-SEM) at national and regional scales. Results indicated that the annual amount of water used for crop production in China exceeded 900.0 Gm³. The growth in CWU from 1999 to 2018 for cash crops and grain crops was 145.4 Gm³ and 74.4 Gm³, respectively.BDI of all crops was 0.281 over the study period in China, with grain crops being 2.6 times more dependent on blue water resources than cash crops. Xinjiang, with annual average BDI of 0.716, 0.805, and 0.620 for all, grain and cash crops, respectively, has the highest irrigation demand. The PLS-SEM results showed a significant causal relationship between the economy and BDI, with obvious regional differences in structural path analysis. Based on the analysis of agricultural water use, the regions can adjust the structure of crop cultivation, optimize the allocation of water and soil resources, expand the cultivation of fodder grains and promote steady economic growth, to achieve a "win-win" situation of ensuring food security and sustainable use of agricultural water resources.

Suggested Citation

  • Wu, Nan & Zhang, Jianyun & Gao, Xinyu & Wang, Xiaojun & Wu, Mengyang & Cao, Xinchun, 2023. "Distribution and drivers for blue water dependence in crop production in China, 1999–2018," Agricultural Water Management, Elsevier, vol. 290(C).
    • Handle: RePEc:eee:agiwat:v:290:y:2023:i:c:s0378377423004584
    DOI: 10.1016/j.agwat.2023.108593
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    References listed on IDEAS

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    1. Xiang, Mingtao & Yu, Qiangyi & Li, Yan & Shi, Zhou & Wu, Wenbin, 2022. "Increasing multiple cropping for land use intensification: The role of crop choice," Land Use Policy, Elsevier, vol. 112(C).
    2. Xu, Hang & Yang, Rui, 2022. "Does agricultural water conservation policy necessarily reduce agricultural water extraction? Evidence from China," Agricultural Water Management, Elsevier, vol. 274(C).
    3. Cao, Xinchun & Li, Yueyao & Wu, Mengyang, 2022. "Irrigation water use and efficiency assessment coupling crop cultivation, commutation and consumption processes," Agricultural Water Management, Elsevier, vol. 261(C).
    4. Lu, Chengpeng & Ji, Wei & Hou, Muchen & Ma, Tianyang & Mao, Jinhuang, 2022. "Evaluation of efficiency and resilience of agricultural water resources system in the Yellow River Basin, China," Agricultural Water Management, Elsevier, vol. 266(C).
    5. 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.
    6. Xu, Hang & Song, Jianfeng, 2022. "Drivers of the irrigation water rebound effect: A case study of Hetao irrigation district in Yellow River basin, China," Agricultural Water Management, Elsevier, vol. 266(C).
    7. Yin, Jieling & Wu, Nan & Engel, Bernie A. & Hua, En & Zhang, Fuyao & Li, Xin & Wang, Yubao, 2022. "Multi-dimensional evaluation of water footprint and implication for crop production: A case study in Hetao Irrigation District, China," Agricultural Water Management, Elsevier, vol. 267(C).
    8. Haida, Christin & Chapagain, Ashok K. & Rauch, Wolfgang & Riede, Maximilian & Schneider, Katrin, 2019. "From water footprint to climate change adaptation: Capacity development with teenagers to save water," Land Use Policy, Elsevier, vol. 80(C), pages 456-463.
    9. Cao, Xinchun & Bao, Yutong & Li, Yueyao & Li, Jianni & Wu, Mengyang, 2023. "Unravelling the effects of crop blue, green and grey virtual water flows on regional agricultural water footprint and scarcity," Agricultural Water Management, Elsevier, vol. 278(C).
    10. Tian, Xu & Yu, Xiaohua, 2015. "Using semiparametric models to study nutrition improvement and dietary change with different indices: The case of China," Food Policy, Elsevier, vol. 53(C), pages 67-81.
    11. Cao, Xinchun & Zeng, Wen & Wu, Mengyang & Guo, Xiangping & Wang, Weiguang, 2020. "Hybrid analytical framework for regional agricultural water resource utilization and efficiency evaluation," Agricultural Water Management, Elsevier, vol. 231(C).
    12. Zhou, Qing & Zhang, Yali & Wu, Feng, 2021. "Evaluation of the most proper management scale on water use efficiency and water productivity: A case study of the Heihe River Basin, China," Agricultural Water Management, Elsevier, vol. 246(C).
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