How can agricultural water use efficiency be promoted in China? A spatial-temporal analysis

Wang, Fengting; Yu, Chang; Xiong, Lichun; Chang, Yuan

doi:10.1016/j.resconrec.2019.03.017

Cited by 114 publications

(39 citation statements)

References 39 publications

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“…The reason is related to the level of regional economic development and agricultural irrigation technology. The relative lack of water resources in the region, the ecological environment, and the harsh climate also reduce the agricultural water use efficiency to some extent [61][62][63]. In addition, the large-scale flood irrigation as an irrigation method formed in the history of Ningxia resulted in a large amount of water resources being lost during evaporation and leakage.…”

Section: Law Of Agricultural Water Utilization Efficiencymentioning

confidence: 99%

How High-Quality Urbanization Affects Utilization Efficiency of Agricultural Water Resources in the Yellow River Basin under Double Control Action?

2020

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To promote the high-quality development of the Yellow River Basin, the total amount and intensity of agricultural water must be controlled. Further speaking, an urbanization development system should be established that is compatible with water resources and the water environment. We adopted the stochastic frontier analysis model to measure the agricultural water utilization efficiency of the Yellow River Basin from 2007 to 2017. We also adopted the dynamic panel difference generalized method of moments (GMM) and system GMM models to verify the driving factors, in which population urbanization, economic urbanization, and equilibrium urbanization levels were selected as the key variables. The results show that the overall efficiency of agricultural water utilization maintained a steady upward trend during the research period. The spatial differentiation was generally characterized by higher efficiency levels in the eastern region and lower levels in the western region. The variation coefficient of water utilization efficiency showed a downward trend in general, which indicates a space spillover effect. Agricultural water utilization efficiency continued to converge from 2007 to 2017, and the upper reaches area converged relatively more quickly. Regarding the influencing factors, the population urbanization, economic urbanization, balanced urbanization, crop planting ratio, and rice planting ratio had negative effects on agricultural water utilization efficiency. Urbanization did not positively affect agricultural water use efficiency as the related theories, so urbanization quality and urban–rural integration should be paid more attention. However, technology innovation was significantly positive in agricultural water utilization efficiency. The influencing factors of per capita water availability and annual precipitation did not pass the significance test. Therefore, the government should vigorously promote the development of high-quality new-type urbanization, scientifically formulate the scale and speed of urbanization, strengthen the urban, rural, and industrial integration, and promote the adjustment of planting structures and agricultural deep processing.

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Section: Law Of Agricultural Water Utilization Efficiencymentioning

confidence: 99%

How High-Quality Urbanization Affects Utilization Efficiency of Agricultural Water Resources in the Yellow River Basin under Double Control Action?

2020

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“…With the rapid development of the population and socioeconomy in Ningxia, resources and the environment have been over-exploited. As for agriculture, problems like uneven distribution of land and water resources, and low efficiency of agricultural water use have severely restricted regional development [25,26].…”

Section: Study Areamentioning

confidence: 99%

Spatial–Temporal Matching Characteristics between Agricultural Water and Land Resources in Ningxia, Northwest China

Yang

Wang

et al. 2019

Water

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Agricultural water and land resources are key elements of human production and their unbalanced distribution has threatened the sustainable development of agriculture and regional food security. This study is aiming to investigate the spatial-temporal changes of matching characteristics between agricultural water and land resources in Ningxia during 2007 to 2017. The agricultural irrigation water (AIW), farmland area (FA) and effective irrigated area (EIA) were selected as quantity parameters for agricultural water and land resource. Results show that the gravity centers of AIW and EIA both moved in the southeast direction, while the gravity center of FA moved northwestward, which indicated a better spatial matching degree between AIW and EIA. According to the Gini coefficient and total spatial mismatch index, the spatial mismatch between AIW and FA of Ningxia was remedied and that of AIW and EIA was worse. Counties with sufficient and insufficient AIW were distributed in the north and the south of Ningxia, respectively. The sensitivity of agricultural irrigation water to land resources remarkably increased in the study period, particularly for the counties in northern area of Ningxia. The findings may provide implications for effective management of regional agricultural water and land resources.

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“…Natural factors and human factors are significant factors affecting agricultural WUE. The former factors are related to natural conditions, including climate, temperature and soil, as well as farmland infrastructure construction, while the latter factors can be divided into engineering factors, management factors and technical factors [34][35][36]. Kang et al analyzed the evolution of irrigation water productivity and its relationships with variations of crop yield, cropping patterns and fertilization [37].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Agricultural Water Use Efficiency Based on Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation in Xinjiang, China

Song

Wang

et al. 2020

Water

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Improving agricultural water use efficiency (WUE) and reducing the proportion of agricultural water consumption are of great significance for coping with the water crisis in the world, particularly in northwest China. However, considering the lack of WUE indicators for the selection and an evaluation of system construction in Xinjiang, the implementation of the strictest water resources management system in this province has been seriously restricted. In order to evaluate the agricultural water utilization situation of 14 administrative regions in Xinjiang, a synthetical evaluation model is proposed combining the analytic hierarchy process method and the fuzzy evaluation method. Firstly, an evaluation system composed of the target layer (i.e., water use efficiency), the criterion layer (i.e., water use situation, engineering measure, planting structure) and the index layer (e.g., utilization coefficient of irrigation water, weighting irrigation quota, grain production per cubic meter of irrigation water, etc.) is constructed. Secondly, a classification standard of evaluation indicators is put forward and a fuzzy evaluation model is introduced into calculate agricultural WUE. Finally, key evaluation indicators that lead to these administrative regions with very low WUE are identified, and discussions on improving agricultural WUE in Kashgar are made. The evaluation results of this study are beneficial for providing support for reforming agricultural water use and promoting sustainable agricultural development in Xinjiang.

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How can agricultural water use efficiency be promoted in China? A spatial-temporal analysis

Cited by 114 publications

References 39 publications

How High-Quality Urbanization Affects Utilization Efficiency of Agricultural Water Resources in the Yellow River Basin under Double Control Action?

How High-Quality Urbanization Affects Utilization Efficiency of Agricultural Water Resources in the Yellow River Basin under Double Control Action?

Spatial–Temporal Matching Characteristics between Agricultural Water and Land Resources in Ningxia, Northwest China

Analysis of Agricultural Water Use Efficiency Based on Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation in Xinjiang, China

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