IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i24p16735-d1002103.html
   My bibliography  Save this article

Evaluating Agricultural Sustainability and Green GDP in China: An Emergy Analysis

Author

Listed:
  • Jiangfeng Hu

    (Chongqing Academy of Social Sciences, Chongqing 400020, China)

  • Jingjing Lyu

    (School of Business, Northeast Normal University, Changchun 130117, China)

  • Xinyuan Zhang

    (School of Taxation, Jilin University of Finance and Economics, Changchun 130117, China)

Abstract

Agricultural sustainability is the foundation and a guarantee of sustainable human reproduction. The scientific assessment of China’s agricultural sustainability is a prerequisite for properly resolving the conflict between short-term economic interests and long-term ecological security. This paper uses the emergy analysis method to estimate agricultural sustainability in China and further calculates the agricultural environmental cost and green GDP. The results show that China’s agricultural emergy yield rate (EYR) is generally greater than 1. This means that more emergy is obtained in relation to renewable and non-renewable inputs from human activity, which also indicates that China’s agricultural agroecosystem is characteristic of a profound transition from a self-supporting tradition to a modern industry based on external economic resource consumption. In contrast, China’s agricultural growth is mainly driven by the input of a large amount of non-renewable resources, which makes the environmental loading rate (ELR) increase year by year, resulting in the deterioration of China’s agricultural emergy sustainability index (ESI). China’s agricultural green GDP accounts for about 94.4% of traditional GDP, which means that the average agricultural environmental cost is about 5.6%, mainly from land loss, accounting for 48.23% of the environmental cost.

Suggested Citation

  • Jiangfeng Hu & Jingjing Lyu & Xinyuan Zhang, 2022. "Evaluating Agricultural Sustainability and Green GDP in China: An Emergy Analysis," IJERPH, MDPI, vol. 19(24), pages 1-17, December.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:24:p:16735-:d:1002103
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/24/16735/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/24/16735/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Xiuhong & Shen, Jianxiu & Zhang, Wei, 2014. "Emergy evaluation of agricultural sustainability of Northwest China before and after the grain-for-green policy," Energy Policy, Elsevier, vol. 67(C), pages 508-516.
    2. Jiang, M.M. & Chen, B. & Zhou, J.B. & Tao, F.R. & Li, Z. & Yang, Z.F. & Chen, G.Q., 2007. "Emergy account for biomass resource exploitation by agriculture in China," Energy Policy, Elsevier, vol. 35(9), pages 4704-4719, September.
    3. Wang, Xiang & Shao, Shuai & Li, Ling, 2019. "Agricultural inputs, urbanization, and urban-rural income disparity: Evidence from China," China Economic Review, Elsevier, vol. 55(C), pages 67-84.
    4. Yigang Wei & Yan Li & Xinjing Liu & Meiyu Wu, 2020. "Sustainable development and green gross domestic product assessments in megacities based on the emergy analysis method—A case study of Wuhan," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(1), pages 294-307, January.
    5. Zhuang, Minghao & Liu, Yize & Yang, Yi & Zhang, Qingsong & Ying, Hao & Yin, Yulong & Cui, Zhenling, 2022. "The sustainability of staple crops in China can be substantially improved through localized strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    6. Viet-Ngu Hoang & Mohammad Alauddin, 2012. "Input-Orientated Data Envelopment Analysis Framework for Measuring and Decomposing Economic, Environmental and Ecological Efficiency: An Application to OECD Agriculture," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 51(3), pages 431-452, March.
    7. Hoang, Viet-Ngu & Rao, D.S. Prasada, 2010. "Measuring and decomposing sustainable efficiency in agricultural production: A cumulative exergy balance approach," Ecological Economics, Elsevier, vol. 69(9), pages 1765-1776, July.
    8. Hoang, Viet-Ngu, 2011. "Measuring and decomposing changes in agricultural productivity, nitrogen use efficiency and cumulative exergy efficiency: Application to OECD agriculture," Ecological Modelling, Elsevier, vol. 222(1), pages 164-175.
    9. Lingran Yuan & Shurui Zhang & Shuo Wang & Zesen Qian & Binlei Gong, 2021. "World agricultural convergence," Journal of Productivity Analysis, Springer, vol. 55(2), pages 135-153, April.
    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. Yuan-Wei Du & Yi-Pin Fan, 2023. "Spatiotemporal Dynamics of Agricultural Sustainability Assessment: A Study across 30 Chinese Provinces," Sustainability, MDPI, vol. 15(11), pages 1-23, June.

    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. Hampf, Benjamin, 2015. "Estimating the materials balance condition: A stochastic frontier approach," Darmstadt Discussion Papers in Economics 226, Darmstadt University of Technology, Department of Law and Economics.
    2. Joanna Domagała, 2021. "Economic and Environmental Aspects of Agriculture in the EU Countries," Energies, MDPI, vol. 14(22), pages 1-23, November.
    3. Turčeková, Natália & Svetlanská, T. & Kollár, B. & Záhorský, T., 2015. "Agri-Environmental Performance of EU Member states," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 7(4), pages 1-10, December.
    4. Hampf, Benjamin & Rødseth, Kenneth Løvold, 2019. "Environmental efficiency measurement with heterogeneous input quality: A nonparametric analysis of U.S. power plants," Energy Economics, Elsevier, vol. 81(C), pages 610-625.
    5. Alfons Oude Lansink & Alan Wall, 2014. "Frontier models for evaluating environmental efficiency: an overview," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 43-50.
    6. Aparicio, Juan & Kapelko, Magdalena & Zofío, José L., 2020. "The measurement of environmental economic inefficiency with pollution-generating technologies," Resource and Energy Economics, Elsevier, vol. 62(C).
    7. Viet-Ngu Hoang & Mohammad Alauddin, 2012. "Input-Orientated Data Envelopment Analysis Framework for Measuring and Decomposing Economic, Environmental and Ecological Efficiency: An Application to OECD Agriculture," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 51(3), pages 431-452, March.
    8. Andreas Eder, 2022. "Environmental efficiency measurement when producers control pollutants under heterogeneous conditions: a generalization of the materials balance approach," Journal of Productivity Analysis, Springer, vol. 57(2), pages 157-176, April.
    9. Andreas Eder, 2021. "Environmental efficiency measurement when producers control pollutants under heterogeneous conditions: a generalization of the materials balance approach," Working Papers 752021, University of Natural Resources and Life Sciences, Vienna, Department of Economics and Social Sciences, Institute for Sustainable Economic Development.
    10. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    11. Annageldy Arazmuradov, 2016. "Economic prospect on carbon emissions in Commonwealth of Independent States," Economic Change and Restructuring, Springer, vol. 49(4), pages 395-427, November.
    12. repec:zbw:inwedp:752021 is not listed on IDEAS
    13. Rubio Rodríguez, M.A. & Ruyck, J. De & Díaz, P. Roque & Verma, V.K. & Bram, S., 2011. "An LCA based indicator for evaluation of alternative energy routes," Applied Energy, Elsevier, vol. 88(3), pages 630-635, March.
    14. Duan, N. & Liu, X.D. & Dai, J. & Lin, C. & Xia, X.H. & Gao, R.Y. & Wang, Y. & Chen, S.Q. & Yang, J. & Qi, J., 2011. "Evaluating the environmental impacts of an urban wetland park based on emergy accounting and life cycle assessment: A case study in Beijing," Ecological Modelling, Elsevier, vol. 222(2), pages 351-359.
    15. Kerstens, Kristiaan & Van de Woestyne, Ignace, 2014. "Comparing Malmquist and Hicks–Moorsteen productivity indices: Exploring the impact of unbalanced vs. balanced panel data," European Journal of Operational Research, Elsevier, vol. 233(3), pages 749-758.
    16. Jeanneaux, Philippe & Latruffe, Laure, 2016. "Modelling pollution-generating technologies in performance benchmarking: Recent developments, limits and future prospects in the nonparametric frameworkAuthor-Name: Dakpo, K. Hervé," European Journal of Operational Research, Elsevier, vol. 250(2), pages 347-359.
    17. Shah, Syed Mahboob & Liu, Gengyuan & Yang, Qing & Casazza, Marco & Agostinho, Feni & Giannetti, Biagio F., 2021. "Sustainability assessment of agriculture production systems in Pakistan: A provincial-scale energy-based evaluation," Ecological Modelling, Elsevier, vol. 455(C).
    18. Li, Mengxu & Liu, Jianghua & Chen, Yang & Yang, Zhijiu, 2023. "Can sustainable development strategy reduce income inequality in resource-based regions? A natural resource dependence perspective," Resources Policy, Elsevier, vol. 81(C).
    19. Shuai Qin & Hong Chen & Tuyen Thi Tran & Haokun Wang, 2022. "Analysis of the Spatial Effect of Capital Misallocation on Agricultural Output—Taking the Main Grain Producing Areas in Northeast China as an Example," Sustainability, MDPI, vol. 14(10), pages 1-17, May.
    20. Eder, Andreas, 2021. "Environmental efficiency measurement when producers control pollutants under heterogeneous conditions: a generalization of the materials balance approach," Discussion Papers DP-75-2021, University of Natural Resources and Life Sciences, Vienna, Department of Economics and Social Sciences, Institute for Sustainable Economic Development.
    21. Jinkai Li & Jueying Chen & Heguang Liu, 2021. "Sustainable Agricultural Total Factor Productivity and Its Spatial Relationship with Urbanization in China," Sustainability, MDPI, vol. 13(12), pages 1-15, June.

    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:jijerp:v:19:y:2022:i:24:p:16735-:d:1002103. 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.