IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i23p10236-d1527277.html
   My bibliography  Save this article

Multi-Party Collaboration in Agricultural Green Technology Innovation and Adoption: An Evolutionary Game Approach

Author

Listed:
  • Xueli Ma

    (School of Economics and Management, Yantai University, Yantai 264005, China)

  • Tianyuan Ren

    (School of Economics and Management, Yantai University, Yantai 264005, China)

  • Sardar M. N. Islam

    (Institute for Sustainable Industries & Liveable Cities, Victoria University, Melbourne 8001, Australia)

Abstract

The collaborative promotion of agricultural green technology innovation and adoption (AGTIA) is essential for achieving green agriculture. However, there remains a need to raise both innovation and adoption levels, necessitating explorations of the effects of government subsidies and collaborative mechanisms. To this end, this paper builds an evolutionary game model to analyze the collaborative promotion of AGTIA. By introducing relevant parameters, such as government subsidies for AGTIA, dividends and liquidated damages within industrial technology innovation alliances (ITISAs), and cost reduction coefficients, this paper explores the impacts of the technology spillover effect, price premium of green agricultural products, and government subsidies on the strategic choices of related participants. The main findings are as follows: (1) The key factors influencing AGTIA are different and the government can implement different combinations of dynamic and static subsidy mechanisms at distinct stages of agricultural green development. Government subsidies play a major role at the initial stage, while ITISAs should take fuller advantage of AGTIA as green agriculture matures. (2) Increasing subsidies can promote AGTIA at the initial stage. However, an optimal range of subsidies exists, and when subsidies are higher than a certain threshold, government subsidy willingness fluctuations may lead to decreased stability. (3) There is a threshold of liquidated damages within ITISAs. Only when liquidated damages exceed the threshold can they facilitate the development of durable ITISAs and discourage free-rider behavior. The above findings can provide theoretical support for relevant government sectors when issuing policies to promote AGTIA and agricultural green development.

Suggested Citation

  • Xueli Ma & Tianyuan Ren & Sardar M. N. Islam, 2024. "Multi-Party Collaboration in Agricultural Green Technology Innovation and Adoption: An Evolutionary Game Approach," Sustainability, MDPI, vol. 16(23), pages 1-34, November.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:23:p:10236-:d:1527277
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/23/10236/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/23/10236/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yigezu, Yigezu Atnafe & Mugera, Amin & El-Shater, Tamer & Aw-Hassan, Aden & Piggin, Colin & Haddad, Atef & Khalil, Yaseen & Loss, Stephen, 2018. "Enhancing adoption of agricultural technologies requiring high initial investment among smallholders," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 199-206.
    2. Xingyi Yang & Xiaopei Dai & Yijing Zhang, 2024. "The Government Subsidy Policies for Organic Agriculture Based on Evolutionary Game Theory," Sustainability, MDPI, vol. 16(6), pages 1-24, March.
    3. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    4. Yubin Wang & Jie Li & Pengfei Cheng, 2023. "Multiple Subject Behavior in Pest and Disease Control Outsourcing from the Perspective of Government Intervention: Based on Evolutionary Game and Simulation Analysis," Agriculture, MDPI, vol. 13(6), pages 1-21, June.
    5. Xiaolong Guo & Lihong Cheng & Yugang Yu, 2022. "Government subsidy policy for green and efficient raw materials considering farmer heterogeneity," Production and Operations Management, Production and Operations Management Society, vol. 31(11), pages 4095-4112, November.
    6. Yu, Yanan & He, Yong & Zhao, Xuan, 2021. "Impact of demand information sharing on organic farming adoption: An evolutionary game approach," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    7. Luo, Jianli & Guo, Hongdong & Jia, Fu, 2017. "Technological innovation in agricultural co-operatives in China: Implications for agro-food innovation policies," Food Policy, Elsevier, vol. 73(C), pages 19-33.
    8. Jing Gong & Hongyan Du & Yong Sun, 2023. "Collaboration among Governments, Pesticide Operators, and Farmers in Regulating Pesticide Operations for Agricultural Product Safety," Agriculture, MDPI, vol. 13(12), pages 1-20, December.
    9. Xingyi Yang & Xiaopei Dai & Zhenyu Liu, 2023. "Retailers’ Audit Strategies for Green Agriculture Based on Dynamic Evolutionary Game," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    10. Zheng, Shan & Yu, Lianghong, 2022. "The government's subsidy strategy of carbon-sink fishery based on evolutionary game," Energy, Elsevier, vol. 254(PB).
    11. Nematollahi, Mohammadreza & Tajbakhsh, Alireza & Mosadegh Sedghy, Bahareh, 2021. "The reflection of competition and coordination on organic agribusiness supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
    12. Hu, Zhenhua & Song, Gaohui & Hu, Ziyue & Fang, Jiaqi, 2024. "An improved dynamic game analysis of farmers, enterprises and rural collective economic organizations based on idle land reuse policy," Land Use Policy, Elsevier, vol. 140(C).
    13. Renato Villano & Boris Bravo-Ureta & Daniel Solís & Euan Fleming, 2015. "Modern Rice Technologies and Productivity in the Philippines: Disentangling Technology from Managerial Gaps," Journal of Agricultural Economics, Wiley Blackwell, vol. 66(1), pages 129-154, February.
    14. Ma, Wanglin & Renwick, Alan & Yuan, Peng & Ratna, Nazmun, 2018. "Agricultural cooperative membership and technical efficiency of apple farmers in China: An analysis accounting for selectivity bias," Food Policy, Elsevier, vol. 81(C), pages 122-132.
    15. Mengling Tian & Ruifeng Liu & Jian Wang & Jiahao Liang & Yefan Nian & Hengyun Ma, 2023. "Impact of Environmental Values and Information Awareness on the Adoption of Soil Testing and Formula Fertilization Technology by Farmers—A Case Study Considering Social Networks," Agriculture, MDPI, vol. 13(10), pages 1-22, October.
    16. Na He & Zhong-Zhong Jiang & Song Huang & Kunyang Li, 2023. "Evolutionary game analysis for government regulations in a straw-based bioenergy supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 61(18), pages 6093-6114, September.
    17. Chen, Zhe & Sarkar, Apurbo & Rahman, Airin & Li, Xiaojing & Xia, Xianli, 2022. "Exploring the drivers of green agricultural development (GAD) in China: A spatial association network structure approaches," Land Use Policy, Elsevier, vol. 112(C).
    18. Zhao, Chuan & Ma, Xuying & Wang, Kun, 2022. "The electric vehicle promotion in the cold-chain logistics under two-sided support policy: An evolutionary game perspective," Transport Policy, Elsevier, vol. 121(C), pages 14-34.
    19. Markard, Jochen, 2020. "The life cycle of technological innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 153(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. Lyu, Zhengwei & Lan, Hongjie & Hua, Guowei & Cheng, T.C.E. & Xu, Yadong, 2024. "How to promote Chinese food waste-to-energy program? An evolutionary game approach," Energy, Elsevier, vol. 293(C).
    2. Jing Gong & Hongyan Du & Yong Sun, 2023. "Collaboration among Governments, Pesticide Operators, and Farmers in Regulating Pesticide Operations for Agricultural Product Safety," Agriculture, MDPI, vol. 13(12), pages 1-20, December.
    3. Shuai Jin & Na Qiao & Muhamad Aamir Shafique Khan & Changchun Zhu, 2024. "Promoting the production and consumption of green products from the perspective of supply and demand: An evolutionary game-based analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(9), pages 23193-23213, September.
    4. Awal Abdul‐Rahaman & Gazali Issahaku & Wanglin Ma, 2023. "Agrifood system participation and production efficiency among smallholder vegetable farmers in Northern Ghana," Agribusiness, John Wiley & Sons, Ltd., vol. 39(3), pages 812-835, July.
    5. Tan, Bing Qing & Kang, Kai & Zhong, Ray Y., 2023. "Electric vehicle charging infrastructure investment strategy analysis: State-owned versus private parking lots," Transport Policy, Elsevier, vol. 141(C), pages 54-71.
    6. Xia, Xiaoning & Li, Pengwei & Cheng, Yang, 2023. "Tripartite evolutionary game analysis of power battery carbon footprint disclosure under the EU battery regulation," Energy, Elsevier, vol. 284(C).
    7. repec:ags:aaea22:335541 is not listed on IDEAS
    8. Felister Y. Tibamanya & Mursali A. Milanzi & Arne Henningsen, 2021. "Drivers of and Barriers to Adoption of Improved Sun- flower Varieties amongst Smallholder Farmers in Singida, Tanzania: the Double-Hurdle Approach," IFRO Working Paper 2021/03, University of Copenhagen, Department of Food and Resource Economics.
    9. Wanglin Ma & Hongyun Zheng & Peng Yuan, 2022. "Impacts of cooperative membership on banana yield and risk exposure: Insights from China," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(2), pages 564-579, June.
    10. Lu, Wencong & Addai, Kwabena Nyarko & Ng’ombe, John N., 2021. "Does the use of multiple agricultural technologies affect household welfare? Evidence from Northern Ghana," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 60(4), November.
    11. Manda, Julius & Khonje, Makaiko G. & Alene, Arega D. & Tufa, Adane H & Abdoulaye, Tahirou & Mutenje, Munyaradzi & Setimela, Peter & Manyong, Victor, 2020. "Does cooperative membership increase and accelerate agricultural technology adoption? Empirical evidence from Zambia," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    12. Neubauer, Florian & Songsermsawas, Tisorn & Kámiche-Zegarra, Joanna & Bravo-Ureta, Boris E., 2022. "Technical efficiency and technological gaps correcting for selectivity bias: Insights from a value chain project in Nepal," Food Policy, Elsevier, vol. 112(C).
    13. Ngango, Jules & Hong, Seungjee, 2021. "Impacts of land tenure security on yield and technical efficiency of maize farmers in Rwanda," Land Use Policy, Elsevier, vol. 107(C).
    14. Carrer, Marcelo José & Filho, Hildo Meirelles de Souza & Vinholis, Marcela de Mello Brandão & Mozambani, Carlos Ivan, 2022. "Precision agriculture adoption and technical efficiency: An analysis of sugarcane farms in Brazil," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    15. Shan, Haiyan & Pi, Wenjie, 2023. "Mitigating panic buying behavior in the epidemic: An evolutionary game perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    16. Toba Stephen Olasehinde & Fangbin Qiao & Shiping Mao, 2023. "Impact of Improved Maize Varieties on Production Efficiency in Nigeria: Separating Technology from Managerial Gaps," Agriculture, MDPI, vol. 13(3), pages 1-14, March.
    17. Tan, Yiheng & Huang, Xiying & Li, Wei, 2023. "Does blockchain-based traceability system guarantee information authenticity? An evolutionary game approach," International Journal of Production Economics, Elsevier, vol. 264(C).
    18. Abdul-Rahaman, Awal & Issahaku, Gazali & Zereyesus, Yacob A., 2021. "Improved rice variety adoption and farm production efficiency: Accounting for unobservable selection bias and technology gaps among smallholder farmers in Ghana," Technology in Society, Elsevier, vol. 64(C).
    19. Qianru Chen & Hualin Xie & Qunli Zhai, 2022. "Management Policy of Farmers’ Cultivated Land Abandonment Behavior Based on Evolutionary Game and Simulation Analysis," Land, MDPI, vol. 11(3), pages 1-23, February.
    20. Lichi Zhang & Yanyan Jiang & Junmin Wu, 2022. "Evolutionary Game Analysis of Government and Residents’ Participation in Waste Separation Based on Cumulative Prospect Theory," IJERPH, MDPI, vol. 19(21), pages 1-16, November.
    21. Manda, Julius & Feleke, Shiferaw & Mutungi, Christopher & Tufa, Adane H. & Mateete, Bekunda & Abdoulaye, Tahirou & Alene, Arega D., 2024. "Assessing the speed of improved postharvest technology adoption in Tanzania: The role of social learning and agricultural extension services," Technological Forecasting and Social Change, Elsevier, vol. 202(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:gam:jsusta:v:16:y:2024:i:23:p:10236-:d:1527277. 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.