IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v143y2024ics0264837724001649.html
   My bibliography  Save this article

The social-ecological benefits of grain for green program based on coupled coordination network: Taking the China’s Loess Plateau as an example

Author

Listed:
  • Yibin, Wang
  • Fei, Li
  • Jian, Wang
  • Hongyu, Cao
  • Mengfei, Li

Abstract

The Grain for Green Program (GFGP) is the world’s largest payment for ecosystem services (PES). In the past 20 years, the Chinese government has implemented three stages of GFGP, which have profoundly affected the social-ecological benefits (SEB) of China’s Loess Plateau (LP), one of the regions with the most severe soil erosion and the most fragile ecological environment in the world. Therefore, we explored the changes and coupling coordination relationships of LP’s SEB in the past three stages of GFGP, and examined the spatial correlation network relationships between various units and their roles of GFGP, which was particularly important for the rationality and implementation direction of LP’s GFGP in the future. We found that in different GFGP stages, changes in LP’s SEB showed stage differences and spatiotemporal differences. The comprehensive social benefits (CSB) changed slowly (1.342 dropped to 1.232), and there was an obvious “northwest-southeast” regional division in space. The changes in comprehensive ecological benefits (CEB) fluctuated more obviously (1.481, 1.638, 0.597). After experiencing significant improvements of CEB in two stages, it entered a bottleneck period in the third stage. For a long time, the LP’s SEB have been in a state of coupling coordination, but the coupling coordination degree dropped to 0.493 in the third stage. With climate change, the continuous increase in potential grain yield has led to increasing losses in CSB. It was difficult to promote further coordination of LP’s SEB by accelerating the improvement of CEB. The coupling coordination degree has gradually moved from overall coupling coordination to mild imbalance. At the same time, the overall density of the SEB coupling coordination space network correlation was 0.218, which has shown an obvious network structure, and formed four major sectors: main beneficiary sector, broker sector, net overflow sector, and bidirectional overflow sector in each stage of GFGP. The role of each county has undergone regional changes in the entire GFGP, and there were recurring power transmission mechanisms and complex network formation factors. Based on this, we proposed to promote the coupling coordination and positive network transmission of SEB in the next stage of LP’s GFGP through “low-carbonization of agricultural production”, “further improvement of the compensation mechanism”, and “fusion of power transmission mechanism and network formation factors”.

Suggested Citation

  • Yibin, Wang & Fei, Li & Jian, Wang & Hongyu, Cao & Mengfei, Li, 2024. "The social-ecological benefits of grain for green program based on coupled coordination network: Taking the China’s Loess Plateau as an example," Land Use Policy, Elsevier, vol. 143(C).
  • Handle: RePEc:eee:lauspo:v:143:y:2024:i:c:s0264837724001649
    DOI: 10.1016/j.landusepol.2024.107211
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837724001649
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.landusepol.2024.107211?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Liu, Jingming & Chen, Haibin & Hou, Xianhui & Zhang, Daojun & Zhang, Hui, 2021. "Time to adopt a context-specific and market-based compensation scheme for a new round of the Grain for Green Program," Land Use Policy, Elsevier, vol. 108(C).
    2. Giefer, Madeline M. & An, Li, 2022. "Divergent impacts of the grain to green program, landholdings, and demographic factors on livelihood diversification in rural China," World Development, Elsevier, vol. 156(C).
    3. Emi Uchida & Scott Rozelle & Jintao Xu, 2009. "Conservation Payments, Liquidity Constraints, and Off-Farm Labor: Impact of the Grain-for-Green Program on Rural Households in China," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 70-86.
    4. Ajanaku, B.A. & Collins, A.R., 2021. "Economic growth and deforestation in African countries: Is the environmental Kuznets curve hypothesis applicable?," Forest Policy and Economics, Elsevier, vol. 129(C).
    5. Zhangxuan Qin & Xiaolin Liu & Xiaoyan Lu & Mengfei Li & Fei Li, 2022. "Grain Production Space Reconstruction and Its Influencing Factors in the Loess Plateau," IJERPH, MDPI, vol. 19(10), pages 1-18, May.
    6. Xu, Zhigang & Xu, Jintao & Deng, Xiangzheng & Huang, Jikun & Uchida, Emi & Rozelle, Scott, 2006. "Grain for Green versus Grain: Conflict between Food Security and Conservation Set-Aside in China," World Development, Elsevier, vol. 34(1), pages 130-148, January.
    7. Wang, Liye & Zhang, Siyu & Xiong, Qiangqiang & Liu, Yu & Liu, Yanfang & Liu, Yaolin, 2022. "Spatiotemporal dynamics of cropland expansion and its driving factors in the Yangtze River Economic Belt: A nuanced analysis at the county scale," Land Use Policy, Elsevier, vol. 119(C).
    Full references (including those not matched with items on IDEAS)

    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. repec:gat:wpaper:1509 is not listed on IDEAS
    2. Jennifer M. Alix-Garcia & Elizabeth N. Shapiro & Katharine R. E. Sims, 2012. "Forest Conservation and Slippage: Evidence from Mexico’s National Payments for Ecosystem Services Program," Land Economics, University of Wisconsin Press, vol. 88(4), pages 613-638.
    3. Hao Chen & Luuk Fleskens & Simon W. Moolenaar & Coen J. Ritsema & Fei Wang, 2022. "Stakeholders’ Perceptions towards Land Restoration and Its Impacts on Ecosystem Services: A Case Study in the Chinese Loess Plateau," Land, MDPI, vol. 11(11), pages 1-18, November.
    4. Jing You, 2014. "Dietary change, nutrient transition and food security in fast-growing China," Chapters, in: Raghbendra Jha & Raghav Gaiha & Anil B. Deolalikar (ed.), Handbook on Food, chapter 9, pages 204-245, Edward Elgar Publishing.
    5. Démurger, Sylvie & Pelletier, Adeline, 2015. "Volunteer and satisfied? Rural households' participation in a payments for environmental services programme in Inner Mongolia," Ecological Economics, Elsevier, vol. 116(C), pages 25-33.
    6. Liu, Zhen & Li, Qiuming & Lan, Jing & Abu Hatab, Assem, 2020. "Does participation in the sloping land conversion program reduce the sensitivity of Chinese farmers to climate change?," Land Use Policy, Elsevier, vol. 99(C).
    7. Lunyu Xie & Bohan Zeng & Li Jiang & Jintao Xu, 2018. "Conservation Payments, Off-Farm Labor, and Ethnic Minorities: Participation and Impact of the Grain for Green Program in China," Sustainability, MDPI, vol. 10(4), pages 1-18, April.
    8. Qu, Futian & Kuyvenhoven, Arie & Shi, Xiaoping & Heerink, Nico, 2011. "Sustainable natural resource use in rural China: Recent trends and policies," China Economic Review, Elsevier, vol. 22(4), pages 444-460.
    9. Li Li & Atsushi Tsunekawa & Yangshangyu Zuo & Atsushi Koike, 2019. "Conservation Payments and Technical Efficiency of farm Households Participating in the Grain for Green Program on the Loess Plateau of China," Sustainability, MDPI, vol. 11(16), pages 1-16, August.
    10. Yan, Youpei, 2017. "Unintended Land Use Effects of Afforestation in China," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258280, Agricultural and Applied Economics Association.
    11. Alix-Garcia, Jennifer & Wolff, Hendrik, 2014. "Payment for Ecosystem Services from Forests," IZA Discussion Papers 8179, Institute of Labor Economics (IZA).
    12. Shuning Chen & Masaru Kagatsume, 2018. "Impacts of environmental conservation programs on regional economic structural change in Guizhou, China, from 2002 to 2012: an input–output analysis," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 7(1), pages 1-18, December.
    13. Sims, Katharine R.E. & Alix-Garcia, Jennifer M., 2017. "Parks versus PES: Evaluating direct and incentive-based land conservation in Mexico," Journal of Environmental Economics and Management, Elsevier, vol. 86(C), pages 8-28.
    14. Liu, Yue & Yao, Shunbo & Lin, Ying, 2018. "Effect of Key Priority Forestry Programs on off-farm employment: Evidence from Chinese rural households," Forest Policy and Economics, Elsevier, vol. 88(C), pages 24-37.
    15. Jia, Lili, 2012. "Land fragmentation and off-farm labor supply in China," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 66, number 66, September.
    16. Zhang, Daojun & Jia, Qiqi & Xu, Xin & Yao, Shunbo & Chen, Haibin & Hou, Xianhui & Zhang, Jinting & Jin, Gui, 2019. "Assessing the coordination of ecological and agricultural goals during ecological restoration efforts: A case study of Wuqi County, Northwest China," Land Use Policy, Elsevier, vol. 82(C), pages 550-562.
    17. Mullan, Katrina & Grosjean, Pauline & Kontoleon, Andreas, 2011. "Land Tenure Arrangements and Rural-Urban Migration in China," World Development, Elsevier, vol. 39(1), pages 123-133, January.
    18. Sylvie Démurger & Haiyuan Wan, 2012. "Payments for ecological restoration and internal migration in China: the sloping land conversion program in Ningxia," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 1(1), pages 1-22, December.
    19. Huang, Wei, 2019. "Forest condition change, tenure reform, and government-funded eco-environmental programs in Northeast China," Forest Policy and Economics, Elsevier, vol. 98(C), pages 67-74.
    20. Zhang, Qi & Bilsborrow, Richard E. & Song, Conghe & Tao, Shiqi & Huang, Qingfeng, 2019. "Rural household income distribution and inequality in China: Effects of payments for ecosystem services policies and other factors," Ecological Economics, Elsevier, vol. 160(C), pages 114-127.
    21. Han, Bo & Jin, Xiaobin & Sun, Rui & Li, Hanbing & Liang, Xinyuan & Zhou, Yinkang, 2023. "Understanding land-use sustainability with a systematical framework: An evaluation case of China," Land Use Policy, Elsevier, vol. 132(C).

    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:eee:lauspo:v:143:y:2024:i:c:s0264837724001649. 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: Joice Jiang (email available below). General contact details of provider: https://www.journals.elsevier.com/land-use-policy .

    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.