Evaluation of Agricultural Water Resources Allocation Efficiency and Its Influencing Factors in the Yellow River Basin

Abstract

Improving the agricultural water resources allocation efficiency (AWRAE) and promoting the efficient and intensive utilization of agricultural water resources and high-quality development is an effective path to alleviate the water scarcity in one basin. In this study, the AWRAE and its influencing factors were measured and evaluated by constructing the evaluation system of the AWRAE in nine provinces (autonomous regions) of the Yellow River Basin, which consists of the super-efficiency slacks-based model (SBM), standard deviation ellipse (SDE), spatial autocorrelation analysis, Malmquist index and Tobit regression model. The results show that the value of AWRAE is 0.768 and it is at the medium level in the whole Yellow River Basin. The AWRAE values in the nine provinces (autonomous regions) ranking from large to small are Sichuan > Shaanxi > Ningxia > Henan > Inner Mongolia > Shanxi > Qinghai > Shandong > Gansu, and the AWRAE values show a significant increasing trend in Shanxi, Henan, Inner Mongolia and Shandong. The gravity center of the AWRAE keeps wandering along the provincial boundaries of Gansu and Shaanxi, which presents a counterclockwise rotation trend; the AWRAE of Shaanxi exhibits significant H-H aggregation in 2000, 2005, 2010, and 2015 (p < 0.05) while the agglomeration is not significant in 2020. The AWRAE has been continuously improved in which the technological progress change (Techch) and technical efficiency change (Effch) play an important positive role while the pure technical efficiency change (Pech) acts as the negative role in the Yellow River Basin. Moreover, the key influencing factors on the AWRAE in different provinces and autonomous regions are significantly different; for example, the total power of agricultural machinery (AMTP) has a significant positive effect on AWRAE in most provinces, but the annual average precipitation (AAP), agricultural water (AW), water saving irrigated area (WIA) and water saving irrigation machinery (WIM) have significant negative effects on the efficiency of AWRAE in Qinghai. The research results can provide quantitative support for agricultural water-saving and stable grain yield increase in the Yellow River Basin.

Assessment of low-carbon tourism development from multi-aspect analysis: a case study of the Yellow River Basin, China

“…The existence of non-desired outputs is one of the keys affecting the applicability of efficiency assessment methods 47 , 48 . Since MLPI was introduced by Chung et al, it has been widely used to measure total factor productivity with undesirable outputs 25 , 26 , 48 , 49 .…”

Coupling Coordination Evaluation of Water and Soil Resource Matching and Grain Production, and Analysis of Obstacle Factors in a Typical Black Soil Region of Northeast China

“…In recent years, there have been fruitful research results on the matching of water and soil resources and grain production performed at the scale of watersheds [10][11][12], regions [13,14], typical mountainous areas [15,16], northwestern dry zones [17], and provinces [18,19], providing a reference for this study. The measurement of regional agricultural water and soil resource matching value, the analysis of the spatial and temporal matching patterns and changes in water and soil resources, and the formulation of regional regulatory programs for water and soil resource allocation are all important tasks.…”