首页|基于LMDI模型的湖北省农业水足迹时空分布与驱动力研究

基于LMDI模型的湖北省农业水足迹时空分布与驱动力研究

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结合水足迹理论和传统农业用水核算方法,分析2005-2020年湖北省各市州农业水足迹时空演变特征,并利用LMDI模型对农业水足迹变化量进行驱动力因素分解.结果表明:1)湖北省农业水足迹呈现先上升再下降的波动趋势;湖北省各市州农业水足迹存在明显的时空分布差异,这是自然因素和经济因素共同作用的结果.2)各驱动力对湖北省农业水足迹变化的影响程度为经济效应>技术效应>人口效应,经济效应对农业水足迹变化量的贡献值,达53.72%,技术效应和人口效应的贡献值分别为32.86%和13.42%;其中,经济效应对农业水足迹起正向驱动作用,技术效应和人口效应对农业水足迹起到反向驱动的作用.研究结论拓展了长江流域农业水足迹及驱动力分析,同时对于提高农业可持续发展、增加农业用水效率有指导意义.
Study on spatial-temporal distribution and driving forces of the agricultural water footprint in Hubei province based on the LMDI model
[Background]The development of agriculture is related to the development of national security.As a central agricultural province in China,Hubei province should shoulder the heavy responsibility.The study of water footprint helps solve the problem of uneven distribution of agricultural water use and thus to improve agricultural development.[Methods]Using the water footprint theory and traditional agricultural water use accounting methods,we analyzed the spatial-temporal evolution characteristics of the agricultural water footprint of cities and prefectures in Hubei province from 2005 to 2020.And the LMDI model was used to decompose the driving factors of agricultural water footprint changes.[Results]1)The agricultural water footprint of Hubei province shows a fluctuating trend of first rising and then falling.The agricultural water footprint of each city and prefecture in Hubei province has noticeable spatial and temporal distribution differences.The agricultural water footprint of most cities is concentrated in 10 × 108-40 × 108 m3,at 40 × 108-85 × 108 m3 the number of cities in the range ranks second,with only a few remaining over 85 × 108 m3.Over time,the agricultural water footprint of each city has gradually shifted to a higher level,with 5 cities reaching over 80 × 108 m3 by 2020.2)The average total effect of agricultural water footprint changes in Hubei province during the research period is 13.92 x 108 m3.The impact of each driving force on the changes in agricultural water footprint in Hubei province is in the following order:Economic effect>technological effect>population effect.The contribution of economic effects to agricultural water footprint changes exceeds half,reaching 53.72%.The contribution values of technological effects and population effects are 32.86%and 13.42%,respectively.[Conclusions]The spatial and temporal distribution difference in water footprint results from the joint action of natural factors and economic factors.Economic effect plays a positive role in driving agricultural water footprint,while technological effect and population effect play a negative role in driving agricultural water footprint.The conclusion expands the analysis of the agricultural water footprint and driving force in the Yangtze River basin.It has theoretical significance for improving sustainable agricultural development and increasing agricultural water use efficiency.

agricultural water footprintspatiotemporal distributionLMDI modeldriving force

杨润丁、杨冬民

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西安理工大学经济与管理学院,710061,西安

农业水足迹 时空分布 LMDI模型 驱动力

国家社会科学基金一般项目

23BGL081

2024

中国水土保持科学
中国水土保持学会

中国水土保持科学

CSTPCD北大核心
影响因子:0.902
ISSN:1672-3007
年,卷(期):2024.22(1)
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