IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i8p1270-d1454733.html
   My bibliography  Save this article

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

Author

Listed:
  • Guang Han

    (College of Humanities & Social Development, Nanjing Agricultural University, No. 1 Weigang, Nanjing 210095, China
    China Resources & Environment and Development Academy, Nanjing Agricultural University, No. 1 Weigang, Nanjing 210095, China
    Institute of Regional Agricultural Research, Nanjing Agricultural University, No. 1 Weigang, Nanjing 210095, China
    The authors contributed equally to this work.)

  • Zehao Wei

    (College of Humanities & Social Development, Nanjing Agricultural University, No. 1 Weigang, Nanjing 210095, China
    The authors contributed equally to this work.)

  • 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
    Institute of Regional Agricultural Research, Nanjing Agricultural University, No. 1 Weigang, Nanjing 210095, China)

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.

Suggested Citation

  • Guang Han & Zehao Wei & Huawei Zheng & Liqun Zhu, 2024. "Evaluation Index System of Rural Ecological Revitalization in China: A National Empirical Study Based on the Driver-Pressure-State-Impact-Response Framework," Land, MDPI, vol. 13(8), pages 1-26, August.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:8:p:1270-:d:1454733
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/8/1270/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/13/8/1270/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xie, Zhen & Zhang, Fengrong & Lun, Fei & Gao, Yang & Ao, Jia & Zhou, Jian, 2020. "Research on a diagnostic system of rural vitalization based on development elements in China," Land Use Policy, Elsevier, vol. 92(C).
    2. Langemeyer, Johannes & Gómez-Baggethun, Erik & Haase, Dagmar & Scheuer, Sebastian & Elmqvist, Thomas, 2016. "Bridging the gap between ecosystem service assessments and land-use planning through Multi-Criteria Decision Analysis (MCDA)," Environmental Science & Policy, Elsevier, vol. 62(C), pages 45-56.
    3. Nan Jing & Wenxue Cai, 2010. "Analysis on the spatial distribution of logistics industry in the developed East Coast Area in China," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 45(2), pages 331-350, October.
    4. Yang, Zhe & Li, Qingqing & Xue, Wenhao & Xu, Zhihua, 2022. "Impacts of nature reserves on local residents' income in China," Ecological Economics, Elsevier, vol. 199(C).
    5. Liu, Yansui, 2018. "Introduction to land use and rural sustainability in China," Land Use Policy, Elsevier, vol. 74(C), pages 1-4.
    6. Tao, Jiancong & Wang, Zhe & Xu, Yujie & Zhao, Boyu & Liu, Jiaqi, 2024. "Can the digital economy boost rural residents’ income? Evidence from China based on the spatial Durbin model," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 856-872.
    7. David Niemeijer & Rudolf Groot, 2008. "Framing environmental indicators: moving from causal chains to causal networks," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 10(1), pages 89-106, February.
    8. Nie, Xin & Li, Xiaojuan & Lyu, Chengyu & Su, Yanglan & Wang, Han, 2024. "Can ecological compensation based on the transfer of development rights (TDR) improve ecosystem service value? A multi-scenario simulation," Land Use Policy, Elsevier, vol. 138(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Romulus Iagăru & Nicolae Concioiu & Anca Șipoș & Pompilica Iagăru & Achim Daniel Băluță & Andrei Vasile, 2025. "Strategic Approaches to Sustainable Rural Development by Harnessing Endogenous Resources to Improve Residents’ Quality of Life," Land, MDPI, vol. 14(3), pages 1-23, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dongli Zhang & Lihong Yu & Wenxiong Wang, 2022. "Promoting Effect of Whole-Region Comprehensive Land Consolidation on Rural Revitalization from the Perspective of Farm Households: A China Study," Land, MDPI, vol. 11(10), pages 1-24, October.
    2. Liu, Jianzhi & Fang, Yangang & Wang, Ruru & Zou, Cunming, 2022. "Rural typology dynamics and drivers in peripheral areas: A case of Northeast China," Land Use Policy, Elsevier, vol. 120(C).
    3. Zhang, Pengyan & Yang, Dan & Qin, Mingzhou & Jing, Wenlong, 2020. "Spatial heterogeneity analysis and driving forces exploring of built-up land development intensity in Chinese prefecture-level cities and implications for future Urban Land intensive use," Land Use Policy, Elsevier, vol. 99(C).
    4. Jianglin Lu & Keqiang Wang & Hongmei Liu, 2022. "Residents’ Selection Behavior of Compensation Schemes for Construction Land Reduction: Empirical Evidence from Questionnaires in Shanghai, China," Land, MDPI, vol. 12(1), pages 1-29, December.
    5. Lü, Da & Gao, Guangyao & Lü, Yihe & Xiao, Feiyan & Fu, Bojie, 2020. "Detailed land use transition quantification matters for smart land management in drylands: An in-depth analysis in Northwest China," Land Use Policy, Elsevier, vol. 90(C).
    6. Yang, Yuanyuan & Bao, Wenkai & Liu, Yansui, 2020. "Scenario simulation of land system change in the Beijing-Tianjin-Hebei region," Land Use Policy, Elsevier, vol. 96(C).
    7. Qiu, Bingwen & Li, Haiwen & Tang, Zhenghong & Chen, Chongcheng & Berry, Joe, 2020. "How cropland losses shaped by unbalanced urbanization process?," Land Use Policy, Elsevier, vol. 96(C).
    8. Gyula Dörgő & Viktor Sebestyén & János Abonyi, 2018. "Evaluating the Interconnectedness of the Sustainable Development Goals Based on the Causality Analysis of Sustainability Indicators," Sustainability, MDPI, vol. 10(10), pages 1-26, October.
    9. Weijia Chen & Yongquan Lu & Guilin Liu, 2022. "Balancing cropland gain and desert vegetation loss: The key to rural revitalization in Xinjiang, China," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1122-1145, September.
    10. Wang, Bo & Li, Fan & Feng, Shuyi & Shen, Tong, 2020. "Transfer of development rights, farmland preservation, and economic growth: a case study of Chongqing’s land quotas trading program," Land Use Policy, Elsevier, vol. 95(C).
    11. Jianing Wei & Jixiao Cui & Yinan Xu & Jinna Li & Xinyu Lei & Wangsheng Gao & Yuanquan Chen, 2022. "Social Life Cycle Assessment of Major Staple Grain Crops in China," Agriculture, MDPI, vol. 12(4), pages 1-22, April.
    12. Min Liu & Jianpeng Fan & Yuanzheng Li & Qizheng Mao, 2023. "Ecosystem Service Optimisation in the Central Plains Urban Agglomeration Based on Land Use Structure Adjustment," Land, MDPI, vol. 12(7), pages 1-27, July.
    13. Chi, Yuan & Liu, Dahai & Wang, Jing & Wang, Enkang, 2020. "Human negative, positive, and net influences on an estuarine area with intensive human activity based on land covers and ecological indices: An empirical study in Chongming Island, China," Land Use Policy, Elsevier, vol. 99(C).
    14. Xinhui Feng & Yan Li & Lu Zhang & Chuyu Xia & Er Yu & Jiayu Yang, 2022. "Carbon Metabolism in Urban “Production–Living–Ecological” Space Based on Ecological Network Analysis," Land, MDPI, vol. 11(9), pages 1-22, August.
    15. Xu, Tingting & Gao, Jay & Li, Yuhua, 2019. "Machine learning-assisted evaluation of land use policies and plans in a rapidly urbanizing district in Chongqing, China," Land Use Policy, Elsevier, vol. 87(C).
    16. Yin, Xu & Wang, Jing & Li, Yurui & Feng, Zhiming & Wang, Qianyi, 2021. "Are small towns really inefficient? A data envelopment analysis of sampled towns in Jiangsu province, China," Land Use Policy, Elsevier, vol. 109(C).
    17. Lili Guo & Yuting Song & Mengqian Tang & Jinyang Tang & Bright Senyo Dogbe & Mengying Su & Houjian Li, 2022. "Assessing the Relationship among Land Transfer, Fertilizer Usage, and PM 2.5 Pollution: Evidence from Rural China," IJERPH, MDPI, vol. 19(14), pages 1-18, July.
    18. Liu, Yansui & Zhou, Yang, 2021. "Territory spatial planning and national governance system in China," Land Use Policy, Elsevier, vol. 102(C).
    19. Liu, Yansui & Li, Xuhong & Guo, Yuanzhi, 2024. "Exploring land system reform for demographic transition in rural China," Land Use Policy, Elsevier, vol. 147(C).
    20. Antonín Vaishar & Milada Šťastná, 2019. "Sustainable Development of a Peripheral Mountain Region on the State Border: Case Study of Moravské Kopanice Microregion (Moravia)," Sustainability, MDPI, vol. 11(19), pages 1-15, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:13:y:2024:i:8:p:1270-:d:1454733. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.