A study on the effects of regional differences on agricultural water resource utilization efficiency using super-efficiency SBM model

Huang, Yujie; Huang, Xianke; Xie, Munan; Cheng, Wei; Shu, Qin

doi:10.1038/s41598-021-89293-2

Cited by 40 publications

(25 citation statements)

References 28 publications

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“…WUE of cities is not only related to their economic strength, but also connected to the water management level and the local physical endowment (Zhu and Tang, 2020). In general, the WUE is significantly lower in the agriculture sector than the industry and service sectors (Geng et al, 2019;Huang et al, 2021), higher in water-deficient or vulnerable regions than in water-rich regions (Guo et al, 2019), and lower in cities and towns than in rural areas (Hai et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Water Resources Utilization Efficiency in Guangdong Province Based on the DEA–Malmquist Model

Cheng

Song

Xie

2022

Front. Environ. Sci.

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In this study, we examined the temporal and spatial trends of water utilization efficiency in the highly developed Guangdong Province based on a data envelopment analysis (DEA) model and Malmquist index, trying to evaluate and predict the water utilization status in prefecture-level cities from the input–output perspective. The results showed that the water utilization efficiency in Guangdong Province in 2012–2018 was on a fluctuating upward trend, although the utilization efficiency had not reached the DEA efficiency; spatially, the water utilization efficiency in Guangdong Province was relatively high in the Pearl River Delta and the surrounding cities, but low in the Western Guangdong region; in the perspective of efficiency decomposition factors, technological change was the most pervasive driving force of the water utilization efficiency. Pearl River Delta and Northern Guangdong made progress in productivity due to the advantages of scale expansion benefit. Eastern Guangdong achieved improvement in all-over parameters and made the largest growth in water utilization efficiency, while Western Guangdong basically profited from organizational management during the study period; the prediction analysis revealed a continuous increase in the water utilization efficiency in Guangdong Province during 2019–2025 with an average annual growth rate of about 0.6%, benefiting mainly from the technological innovation and secondly from management renewal, while scale expansion benefit tended to decline. Furthermore, spatial heterogeneity exhibited a decreasing tendency in the future owing to the rapid water utilization efficiency increase in the Western and Eastern Guangdong. It is suggested that the technological innovation and the integrated management capability in water use should be paid more attention to enhance the water utilization efficiency in Guangdong Province. Achieving a balance between economic growth and water resource protection, and promoting the sustainable development of the nature-economy-society compound system is of the utmost priority in Guangdong.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Water Resources Utilization Efficiency in Guangdong Province Based on the DEA–Malmquist Model

Cheng

Song

Xie

2022

Front. Environ. Sci.

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“…The traditional DEA model omits the internal structure of the model and cannot decompose and measure the total efficiency. Therefore, we use a two-stage dynamic SBM model to decompose and carry the research process more robustly as suggested by Huang et al (2021b). Second, the static model based on cross-sectional data cannot see the dynamic efficiency changes between DMUs.…”

Section: Methodsmentioning

confidence: 99%

Assessing the efficiency level of the “poverty alleviation through agriculture project”: A case study of fixed observation points in China

Yan¹,

Li²,

Sarkar³

et al. 2022

Front. Sustain. Food Syst.

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In the modern era, development organizations and governments worldwide are undertaking various policies and projects to eradicate poverty. However, there is a lack of evidence that can trigger the efficiency level of those. Based on the survey data of the Ministry of Agriculture and Rural Affairs, which was acquired at rural fixed observation points across 31 provinces of China from 2012 to 2016, the study evaluates the overall efficiency, stage-specific efficiency, and indicator-based efficiency of “Poverty alleviation through agriculture projects of China”. First of all, the entire process of agricultural poverty relief is divided into two stages: (i) agricultural production and (ii) social governance. Accordingly, the study proposes a two-stage theoretical analysis framework for agricultural poverty relief and decomposes the mechanisms; it also discusses the potential for improved efficiency levels in both agricultural production efficiency and social governance efficiency. Therefore, we utilize the two-stage dynamic data envelopment analysis (DEA) model to outline the findings. The outcomes showed the efficiency level of the projects can play an important role in addressing rural poverty in China. This study's major findings are summarized as follows: (i) the overall efficiency of the projects tends to be stable undauntedly. While agricultural production efficiency is the major cause and social governance efficiency in the second stage has been a minor cause for maintaining a relatively lower level of overall efficiency. (ii) There is significant room for improving the efficiency of certain input indicators (including total labor force, productive fixed assets, and education attainment of rural labor) and intermediate variables (i.e., income gap of village households). However, limited room has been found for certain output indicators (including the total output of grain, the poverty elimination index, and an aggregate index of social harmony). Thus, in China, poverty alleviation projects should be revitalized and targeted instead of concentrated. It is required to advance a long-term structure for rural poverty and promote the smooth transition of poverty alleviation projects and working criteria. Moreover, the government should strengthen the top-level design for addressing the relative poverty problem and incorporate it into the rural revitalization strategy.

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“…The SE-SBM model considers expected and unexpected output, so it is widely used in efficiency measurement in various fields. Huang et al [22] calculated the utilization efficiency of agricultural water resources through the super efficiency SBM model and provided reasonable suggestions for utilizing regional water resources. Long et al [23] proposed an SBM-DEA model with unexpected output efficiency to measure urban ecological sustainable development.…”

Section: Plos Onementioning

confidence: 99%

Spatiotemporal evolution characteristics and dynamic efficiency decomposition of carbon emission efficiency in the Yellow River Basin

Zhang

2022

PLoS ONE

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The Yellow River Basin (YRB) is China’s substantial energy consumption base. The issue of carbon emission efficiency directly affects the ecological protection and high-quality development of the YRB. It is the key to achieving carbon peak in 2030 and carbon neutralization in 2060 (“30.60”) double carbon emission reduction targets. Therefore, taking YRB as the research object, this paper first calculates the carbon emission and the decoupling state in the YRB. Secondly, the super-efficiency slacks-based measurement (SE-SBM) model is combined with the Malmquist index to analyze the temporal and spatial evolution characteristics of YRB’s carbon emission efficiency from static and dynamic perspectives. Thirdly, the dynamic evolution characteristics of carbon emission efficiency are analyzed with the help of the Kernel density function. Finally, the Tobit model analyzes the influencing factors of YRB’s and China’s carbon emission efficiency. The results show that: (1) Among the nine provinces of YRB, the decoupling state between carbon emissions and economic growth in most provinces changes from weak decoupling to strong decoupling, and the decoupling elasticity index shows a fluctuating downward trend. (2) There are significant differences in carbon emission efficiency among provinces, but on the whole, it shows a stable growth trend. The high-value area of carbon emission efficiency is increasing, and the phenomenon of two-level differentiation is improving. The decline of the technological progress index causes the Malmquist index in Qinghai and Ningxia. On the contrary, the rise of the Malmquist index in the other seven provinces is caused by improving the technical efficiency index. (3) Industrial structure, economic development, and industrialization are the main positive factors affecting YRB’s carbon emission efficiency. Urbanization level, green development level, and energy consumption level are the leading negative indicators hindering YRB’s improvement of carbon emission efficiency. Therefore, targeted emission reduction suggestions should be formulated according to YRB’s resource endowment and development stage characteristics.

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A study on the effects of regional differences on agricultural water resource utilization efficiency using super-efficiency SBM model

Cited by 40 publications

References 28 publications

Evaluation of Water Resources Utilization Efficiency in Guangdong Province Based on the DEA–Malmquist Model

Evaluation of Water Resources Utilization Efficiency in Guangdong Province Based on the DEA–Malmquist Model

Assessing the efficiency level of the “poverty alleviation through agriculture project”: A case study of fixed observation points in China

Spatiotemporal evolution characteristics and dynamic efficiency decomposition of carbon emission efficiency in the Yellow River Basin

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