Evaluation Index System of Rural Ecological Revitalization in China: A National Empirical Study Based on the Driver-Pressure-State-Impact-Response Framework

Guang Han, Zehao Wei, Huawei Zheng and Liqun Zhu ()
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Guang Han: College of Humanities & Social Development, Nanjing Agricultural University, No. 1 Weigang, Nanjing 210095, China
Zehao Wei: College of Humanities & Social Development, Nanjing Agricultural University, No. 1 Weigang, Nanjing 210095, China
Huawei Zheng: School of Marxism Academy, Nanjing Agricultural University, No. 1 Weigang, Nanjing 210095, China
Liqun Zhu: College of Humanities & Social Development, Nanjing Agricultural University, No. 1 Weigang, Nanjing 210095, China

Land, 2024, vol. 13, issue 8, 1-26

Abstract: Rural ecological revitalization (RER) is one of the five goals of China’s rural revitalization strategy. However, there is a lack of an effective index system to evaluate RER levels, which hinders the implementation of this national policy and reduces the effectiveness and efficiency of public resource input. Using the driver-pressure-state-impact-response (DPSIR) framework, this study developed an evaluation framework consisting of 5 subsystems, 12 secondary indicators, and 33 tertiary indicators. Using the entropy-weighted TOPSIS method, we analyzed a set of 30 provinces’ data and empirically determined the weights of each indicator. We found that the response subsystem had the largest weight (0.338), followed by the state (0.271), impact (0.148), pressure (0.130), and driver (0.113). We then evaluated the RER level in each province and found that five provinces had high RER levels, 16 provinces had moderate RER levels, and nine provinces had low RER levels. Using Moran’s I, we examined spatial autocorrelation of provincial RER levels at global and local dimensions. We found significant positive global autocorrelations across all subsystems, indicating that geological aggregation exists in all RER subsystems. The local autocorrelation results showed that low–low and high–high patterns were the dominant local autocorrelation patterns. According to the findings, we discussed the possible implications of this RER evaluation index system and provided policy recommendations for strengthening RER in different regions across the country.

Keywords: rural ecological revitalization; evaluation index system; entropy weight; TOPSIS; spatial autocorrelation (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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