IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v15y2024i1p69-d1556340.html
   My bibliography  Save this article

Assessing the Economic Value of Carbon Sinks in Farmland Using a Multi-Scenario System Dynamics Model

Author

Listed:
  • Shixiong Song

    (School of Economics and Management, Zhejiang Sci-Tech University, Hangzhou 310018, China
    Zhejiang Academy of Eco-Civilization, Zhejiang Sci-Tech University, Hangzhou 310018, China)

  • Mingjian Su

    (School of Economics and Management, Zhejiang Sci-Tech University, Hangzhou 310018, China)

  • Lingqiang Kong

    (School of Public Administration, Zhejiang University of Finance and Economics, Hangzhou 310018, China)

  • Mingli Kong

    (School of Economics and Management, Zhejiang Sci-Tech University, Hangzhou 310018, China)

  • Yongxi Ma

    (School of Economics and Management, Zhejiang Sci-Tech University, Hangzhou 310018, China
    Zhejiang Academy of Eco-Civilization, Zhejiang Sci-Tech University, Hangzhou 310018, China)

Abstract

Exploring the economic value of carbon sinks in agricultural systems can improve the development of sustainable agriculture. However, there are few studies on the economic value of farmland carbon sinks from a systemic perspective. This study takes Zhejiang, China’s first common wealth demonstration zone, as an example, and quantifies the carbon sinks in farmland and their economic value. The driving mechanism is analyzed by using a system dynamics model. The potential value and management of farmland carbon sinks are discussed. The results show that from 2007 to 2021, the average annual carbon sinks in farmland of Zhejiang were 5.84 million tons, a downward trend. The annual economic value was CNY 149.80 million, a marked upward trend. A rational fertilization project is a win-win ecological and economical measure to enhance the carbon sinks in farmland. Artificially increasing the carbon price to 32% will help Zhejiang achieve the core goal of the common prosperity plan, bringing the urban–rural income gap below 1.9 in 2025. Achieving the economic value of farmland carbon sinks is a green way to narrow the urban–rural income gap. Our study indicates that the marketization of carbon sinks in agricultural land systems may be a very promising path to promote green agriculture.

Suggested Citation

  • Shixiong Song & Mingjian Su & Lingqiang Kong & Mingli Kong & Yongxi Ma, 2024. "Assessing the Economic Value of Carbon Sinks in Farmland Using a Multi-Scenario System Dynamics Model," Agriculture, MDPI, vol. 15(1), pages 1-21, December.
  • Handle: RePEc:gam:jagris:v:15:y:2024:i:1:p:69-:d:1556340
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/15/1/69/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/15/1/69/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jiang, Jingjing & Xie, Dejun & Ye, Bin & Shen, Bo & Chen, Zhanming, 2016. "Research on China’s cap-and-trade carbon emission trading scheme: Overview and outlook," Applied Energy, Elsevier, vol. 178(C), pages 902-917.
    2. Hongpeng Guo & Sidong Xie & Chulin Pan, 2021. "The Impact of Planting Industry Structural Changes on Carbon Emissions in the Three Northeast Provinces of China," IJERPH, MDPI, vol. 18(2), pages 1-20, January.
    3. Shixiong Song & Siyuan Zhao & Ye Zhang & Yongxi Ma, 2023. "Carbon Emissions from Agricultural Inputs in China over the Past Three Decades," Agriculture, MDPI, vol. 13(5), pages 1-12, April.
    4. Xiaobao Yu & Zhongfu Tan & Yuxie Zhang & Daoxin Peng & Hui Xia, 2017. "The Feedback Mechanism of Carbon Emission Reduction in Power Industry of Delayed Systems," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-14, December.
    5. Yifeng Xie & Haitao Wu & Ruikuan Yao, 2023. "The Impact of Climate Change on the Urban–Rural Income Gap in China," Agriculture, MDPI, vol. 13(9), pages 1-17, August.
    6. Hequ Huang & Jia Zhou, 2022. "Study on the Spatial and Temporal Differentiation Pattern of Carbon Emission and Carbon Compensation in China’s Provincial Areas," Sustainability, MDPI, vol. 14(13), pages 1-19, June.
    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. Jia Peng & Xianli Hu & Xinyue Fan & Kai Wang & Hao Gong, 2023. "The Impact of the Green Economy on Carbon Emission Intensity: Comparisons, Challenges, and Mitigating Strategies," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
    2. Liu, Menghe & Li, Yuxiao, 2022. "Environmental regulation and green innovation: Evidence from China's carbon emissions trading policy," Finance Research Letters, Elsevier, vol. 48(C).
    3. Zhuoyuan Gu & Jing Xue & Hongfang Han & Chao Wang, 2025. "Exploring Crop Production Strategies to Mitigate Greenhouse Gas Emissions Based on Scenario Analysis," Land, MDPI, vol. 14(2), pages 1-19, January.
    4. Xu, Yingying & Salem, Sultan, 2021. "Explosive behaviors in Chinese carbon markets: are there price bubbles in eight pilots?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    5. Ziheng Niu & Jianliang Xiong & Xuesong Ding & Yao Wu, 2022. "Analysis of China’s Carbon Peak Achievement in 2025," Energies, MDPI, vol. 15(14), pages 1-18, July.
    6. Chu, Baoju & Dong, Yizhe & Liu, Yaorong & Ma, Diandian & Wang, Tianju, 2024. "Does China's emission trading scheme affect corporate financial performance: Evidence from a quasi-natural experiment," Economic Modelling, Elsevier, vol. 132(C).
    7. Chang, Kai & Chen, Rongda & Chevallier, Julien, 2018. "Market fragmentation, liquidity measures and improvement perspectives from China's emissions trading scheme pilots," Energy Economics, Elsevier, vol. 75(C), pages 249-260.
    8. Wang, Feng & Liu, Xiying & Nguyen, Tue Anh, 2018. "Evaluating the economic impacts and feasibility of China's energy cap: Based on an Analytic General Equilibrium Model," Economic Modelling, Elsevier, vol. 69(C), pages 114-126.
    9. Bo Li & Jing Liu & Qian Liu & Muhammad Mohiuddin, 2022. "The Effects of Broadband Infrastructure on Carbon Emission Efficiency of Resource-Based Cities in China: A Quasi-Natural Experiment from the “Broadband China” Pilot Policy," IJERPH, MDPI, vol. 19(11), pages 1-27, May.
    10. Mengfei Jiang & Xi Liang & David Reiner & Boqiang Lin & Maosheng Duan, 2018. "Stakeholder Views on Interactions between Low-carbon Policies and Carbon Markets in China: Lessons from the Guangdong ETS," Working Papers EPRG 1805, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    11. Chang, Kai & Ge, Fangping & Zhang, Chao & Wang, Weihong, 2018. "The dynamic linkage effect between energy and emissions allowances price for regional emissions trading scheme pilots in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 415-425.
    12. Zhang, Yanfang & Gao, Qi & Wei, Jinpeng & Shi, Xunpeng & Zhou, Dequn, 2023. "Can China's energy-consumption permit trading scheme achieve the “Porter” effect? Evidence from an estimated DSGE model," Energy Policy, Elsevier, vol. 180(C).
    13. Yu Li & Yanjun Zhang & Xiaoyan Li, 2024. "Insight into Carbon Emissions in Economically Developed Regions Based on Land Use Transitions: A Case Study of the Yangtze River Delta, China," Land, MDPI, vol. 13(11), pages 1-21, November.
    14. Wenwei Hou & Fan Liu & Yanqin Zhang & Jiaying Dong & Shumeng Lin & Minhua Wang, 2024. "Research Progress and Hotspot Analysis of Low-Carbon Landscapes Based on CiteSpace Analysis," Sustainability, MDPI, vol. 16(17), pages 1-24, September.
    15. Cong, Ren & Lo, Alex Y., 2017. "Emission trading and carbon market performance in Shenzhen, China," Applied Energy, Elsevier, vol. 193(C), pages 414-425.
    16. Song, Yazhi & Liu, Tiansen & Liang, Dapeng & Li, Yin & Song, Xiaoqiu, 2019. "A Fuzzy Stochastic Model for Carbon Price Prediction Under the Effect of Demand-related Policy in China's Carbon Market," Ecological Economics, Elsevier, vol. 157(C), pages 253-265.
    17. Jin, Yana & Liu, Xiaorui & Chen, Xiang & Dai, Hancheng, 2020. "Allowance allocation matters in China's carbon emissions trading system," Energy Economics, Elsevier, vol. 92(C).
    18. Fu, Yang & Zheng, Zeyu, 2020. "Volatility modeling and the asymmetric effect for China’s carbon trading pilot market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    19. Yunqing Zhao & Debao Dai & Wei Shao & Liang Ye, 2024. "Can the Carbon Trading Policy Enhance Resource Allocation Efficiency?—An Analysis of the Synergistic Effect of Market Mechanism and Government Intervention," Sustainability, MDPI, vol. 16(22), pages 1-24, November.
    20. Feng Liu & Tao Lv & Yuan Meng & Xiaoran Hou & Jie Xu & Xu Deng, 2022. "Low-Carbon Transition Paths of Coal Power in China’s Provinces under the Context of the Carbon Trading Scheme," Sustainability, MDPI, vol. 14(15), pages 1-14, August.

    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:jagris:v:15:y:2024:i:1:p:69-:d:1556340. 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.