Evaluation for Water and Land Resources System Efficiency and Influencing Factors in China: A Two-Stage Network DEA Model
Improving the water and land resource system efficiency can effectively alleviate the severe situation of water and land resources in China. Through the two-stage network DEA model, spatial autocorrelation analysis, multiple linear regression, and geographic weighted regression analysis, this paper...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/12/2/396 |
| _version_ | 1797619931104149504 |
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| author | Cong Liu Wenlai Jiang Yang Liu Yunfei Liu |
| author_facet | Cong Liu Wenlai Jiang Yang Liu Yunfei Liu |
| author_sort | Cong Liu |
| collection | DOAJ |
| description | Improving the water and land resource system efficiency can effectively alleviate the severe situation of water and land resources in China. Through the two-stage network DEA model, spatial autocorrelation analysis, multiple linear regression, and geographic weighted regression analysis, this paper revealed the change characteristics, distribution types, spatial correlation relationship, and main driving factors of China’s water and land resources system efficiency. The results show that the water and land resources system efficiency fluctuates widely in different regions. Water and land resources systems in nearly half of the provinces belong to the high development, low economic benefit transformation type, mainly distributed in southwestern and northwestern China. The economic benefit transformation is becoming the weak link of water and land resources system. The overall efficiency of water and land resource system has significant spatial positive correlation, and this correlation has an increasing trend. Low-Low Clusters occupy more provinces. The urbanization level, population density, proportion of output value of secondary and tertiary industries, and effective irrigation all have a positive impact on the overall efficiency of water and land resources system. The impact of the proportion of construction land is bidirectional and the per land pesticide application has negative impact in general. |
| first_indexed | 2024-03-11T08:34:03Z |
| format | Article |
| id | doaj.art-dec6b7930cf24fe6b1913b4f60a4e157 |
| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-03-11T08:34:03Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj.art-dec6b7930cf24fe6b1913b4f60a4e1572023-11-16T21:36:46ZengMDPI AGLand2073-445X2023-02-0112239610.3390/land12020396Evaluation for Water and Land Resources System Efficiency and Influencing Factors in China: A Two-Stage Network DEA ModelCong Liu0Wenlai Jiang1Yang Liu2Yunfei Liu3Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaInstitute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaInstitute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaInstitute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaImproving the water and land resource system efficiency can effectively alleviate the severe situation of water and land resources in China. Through the two-stage network DEA model, spatial autocorrelation analysis, multiple linear regression, and geographic weighted regression analysis, this paper revealed the change characteristics, distribution types, spatial correlation relationship, and main driving factors of China’s water and land resources system efficiency. The results show that the water and land resources system efficiency fluctuates widely in different regions. Water and land resources systems in nearly half of the provinces belong to the high development, low economic benefit transformation type, mainly distributed in southwestern and northwestern China. The economic benefit transformation is becoming the weak link of water and land resources system. The overall efficiency of water and land resource system has significant spatial positive correlation, and this correlation has an increasing trend. Low-Low Clusters occupy more provinces. The urbanization level, population density, proportion of output value of secondary and tertiary industries, and effective irrigation all have a positive impact on the overall efficiency of water and land resources system. The impact of the proportion of construction land is bidirectional and the per land pesticide application has negative impact in general.https://www.mdpi.com/2073-445X/12/2/396two-stage network DEA modelshared inputswater and land resources system efficiencyinfluencing factorsChina |
| spellingShingle | Cong Liu Wenlai Jiang Yang Liu Yunfei Liu Evaluation for Water and Land Resources System Efficiency and Influencing Factors in China: A Two-Stage Network DEA Model Land two-stage network DEA model shared inputs water and land resources system efficiency influencing factors China |
| title | Evaluation for Water and Land Resources System Efficiency and Influencing Factors in China: A Two-Stage Network DEA Model |
| title_full | Evaluation for Water and Land Resources System Efficiency and Influencing Factors in China: A Two-Stage Network DEA Model |
| title_fullStr | Evaluation for Water and Land Resources System Efficiency and Influencing Factors in China: A Two-Stage Network DEA Model |
| title_full_unstemmed | Evaluation for Water and Land Resources System Efficiency and Influencing Factors in China: A Two-Stage Network DEA Model |
| title_short | Evaluation for Water and Land Resources System Efficiency and Influencing Factors in China: A Two-Stage Network DEA Model |
| title_sort | evaluation for water and land resources system efficiency and influencing factors in china a two stage network dea model |
| topic | two-stage network DEA model shared inputs water and land resources system efficiency influencing factors China |
| url | https://www.mdpi.com/2073-445X/12/2/396 |
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