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

被引:1
作者
Ma, Xueli [1 ]
Ren, Tianyuan [1 ]
Islam, Sardar M. N. [2 ]
机构
[1] Yantai Univ, Sch Econ & Management, Yantai 264005, Peoples R China
[2] Victoria Univ, Inst Sustainable Ind & Liveable Cities, Melbourne 8001, Australia
关键词
agricultural innovation; green technology adoption; innovation alliances; static subsidies; dynamic subsidies; evolutionary game; WILLINGNESS-TO-PAY; CHINA; COOPERATIVES; PREFERENCES; MECHANISM; FARMERS; IMPACT; RICE; FOOD;
D O I
10.3390/su162310236
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:34
相关论文
共 50 条
  • [41] Research on Evolutionary Game from Strategy of Technology Standard Introduction to Independent Innovation
    Liu Ren-zhong
    PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE OF MANAGEMENT SCIENCE AND INFORMATION SYSTEM, VOLS 1-4, 2009, : 450 - 454
  • [42] An Evolutionary Game Analysis on Green Technological Innovation of New Energy Enterprises under the Heterogeneous Environmental Regulation Perspective
    Shi, Yi
    Li, Yan
    SUSTAINABILITY, 2022, 14 (10)
  • [43] Reusable packaging adoption in e-commerce markets with green consumers: An evolutionary game analysis
    Yue, Ruiting
    Xu, Xianhao
    Li, Zhiwen
    Bai, Qingguo
    JOURNAL OF RETAILING AND CONSUMER SERVICES, 2024, 81
  • [44] Research on an Enterprise Green Innovation Ecosystem From the Vulnerability Perspective: Evolutionary Game and Simulation
    Zou, Hua
    Qin, Hao
    He, Deyu
    Sun, Jian
    IEEE ACCESS, 2021, 9 : 140809 - 140823
  • [45] Evolutionary Game and Simulation of Collaborative Green Innovation in Supply Chain under Digital Enablement
    Li, Mo
    Dong, Hua
    Yu, Haochen
    Sun, Xiaoqi
    Zhao, Huijuan
    SUSTAINABILITY, 2023, 15 (04)
  • [46] Evolutionary game analysis on the selection of green and low carbon innovation between manufacturing enterprises
    Chen, Hongmei
    Wang, Jianxue
    Miao, Yujun
    ALEXANDRIA ENGINEERING JOURNAL, 2021, 60 (02) : 2139 - 2147
  • [47] Green sensitivity in supply chain management: An evolutionary game theory approach
    Zhu, Zishuai
    Wang, Xiaohe
    Liu, Linjie
    Hua, Shijia
    CHAOS SOLITONS & FRACTALS, 2023, 173
  • [48] Promoting the Adoption of Agricultural Green Production Technologies for Sustainable Farming: A Multi-Attribute Decision Analysis
    Asiedu-Ayeh, Love Offeibea
    Zheng, Xungang
    Agbodah, Kobina
    Dogbe, Bright Senyo
    Darko, Adjei Peter
    SUSTAINABILITY, 2022, 14 (16)
  • [49] Three-Party Stochastic Evolutionary Game Analysis of Reward and Punishment Mechanism for Green Credit
    Zhu, Qingfeng
    Zheng, Kaimin
    Wei, Yilin
    DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2021, 2021
  • [50] Green finance and "greenization" of enterprise's technology: based on evolutionary game theory and empirical test in China
    Qi, Shaozhou
    Jia, Mengyu
    Zhou, Xiaoxiao
    Zhang, Teng
    APPLIED ECONOMICS, 2025,