2023
DOI: 10.3390/land12050982
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Spatial–Temporal Evolution of the Coupling Coordination Degree between Water and Land Resources Matching and Cultivated Land Use Eco-Efficiency: A Case Study of the Major Grain-Producing Areas in the Middle and Lower Reaches of the Yangtze River

Abstract: Improving the coupling coordination degree between water and land resources matching (WLRM) and cultivated land use eco-efficiency (CLUE) is crucial to ensuring national food security and constructing an ecological civilization. This study is based on the data of 71 prefecture-level cities in the major grain-producing areas in the middle and lower reaches of the Yangtze River from 2008 to 2020. The unit area water resource method, the slacks-based measurement (SBM)-undesirable, the Theil–Sen median analysis, t… Show more

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Cited by 4 publications
(4 citation statements)
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“…The equilibrium test results of the PSM matching (Table 7) show that after matching, the pseudo R 2 and LR chi2 significantly decreased, the B value was less than 25%, and the R values were in the range of 0.5-1. According to Caliendo and Kopeinig [1], the worse the explanatory capacity of the pos-match variables on the probability of project participation, the smaller the difference in the variables between the treatment group and the control group after matching (i.e., the lower the pseudo R 2 and LR chi2 of the logit model based on the postmatching sample estimate, the worse the significance of the test results of the explanatory variables), and the higher the matching quality. According to Rubin [39], when the B value is lower than 25% and R is between 0.5 and 2, the equilibrium hypothesis is fully met.…”
Section: Matching Quality Inspectionmentioning
confidence: 99%
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“…The equilibrium test results of the PSM matching (Table 7) show that after matching, the pseudo R 2 and LR chi2 significantly decreased, the B value was less than 25%, and the R values were in the range of 0.5-1. According to Caliendo and Kopeinig [1], the worse the explanatory capacity of the pos-match variables on the probability of project participation, the smaller the difference in the variables between the treatment group and the control group after matching (i.e., the lower the pseudo R 2 and LR chi2 of the logit model based on the postmatching sample estimate, the worse the significance of the test results of the explanatory variables), and the higher the matching quality. According to Rubin [39], when the B value is lower than 25% and R is between 0.5 and 2, the equilibrium hypothesis is fully met.…”
Section: Matching Quality Inspectionmentioning
confidence: 99%
“…Obviously, agricultural carbon emissions have become an important source of greenhouse gases. In response to the calls for carbon emission reduction and green agricultural development, scholars have introduced carbon emissions from cultivated land use as an environmental constraint to measure cultivated land use efficiency and proposed the LUEE based on the traditional economic efficiency of cultivated land use [1][2][3]. Previous research on LUEE has focused on two aspects: efficiency measurement and impact factor analysis.…”
Section: Introductionmentioning
confidence: 99%
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“…The 19th National Congress of the CPC provided a comprehensive summary and key deployment strategy for ecological civilization construction and environmental protection. Under the guidance of the requirements of ecological civilization construction and the concept of green agricultural development, the Chinese government issued a series of environmental regulations and policies, aiming to promote the coordinated development of land use and ecological environment protection [5]. However, the following questions remain unanswered: How effective has the development of cultivated land utilization been in China's agricultural sector?…”
Section: Introductionmentioning
confidence: 99%