School of Accounting, Hebei Finance University, Baoding, China.
College of Economics and Management, Hebei Agricultural University, Baoding, China.
PLoS One. 2023 Aug 3;18(8):e0289408. doi: 10.1371/journal.pone.0289408. eCollection 2023.
Based on the current state of China's agricultural industry, this article proposes an integrated framework for the agricultural innovation ecosystem in developing countries. Furthermore, a dynamic simulation model is constructed to analyze the game process and factors influencing the agricultural innovation ecosystem. The results indicate that industry-university-research collaboration serves as the main source of innovation within the agricultural innovation ecosystem, playing a central role in its development. The willingness to participate, cost of participation, and establishment of default fees by governments, agro-related enterprises, universities, and research institutions have significant implications for the evolution of collaborative innovation within agricultural innovation ecosystems. In order to promote the evolution of the system, agriculture-related enterprises, universities, and research institutions should establish more effective reward and punishment mechanisms, as well as cost control mechanisms. Governments should set reasonable regulatory costs and incentive intervals to actively foster a collaborative innovation atmosphere. The innovation points of this paper are as follows: extending the theory of innovation ecosystems to agriculture, particularly in developing countries characterized by imbalanced and insufficient development. A game model is also constructed to represent the collaborative innovation evolution among government, agriculture-related enterprises, universities, and research institutions, with the government as the endogenous variable. Through numerical simulation, the dynamic evolution process of collaborative innovation within the agricultural innovation ecosystem is revealed. This research enriches and expands upon innovation ecosystem theory, providing guidance for the of innovation ecology in agriculture through mathematical models in developing countries. This, in turn, promotes the convergence of symbiotic, shared, and-creation development.
基于中国农业产业的现状，本文提出了发展中国家农业创新生态系统的综合框架。进一步构建了动态仿真模型，以分析农业创新生态系统的博弈过程和影响因素。结果表明，产学研合作是农业创新生态系统的主要创新来源，在系统发展中起着核心作用。政府、涉农企业、大学和研究机构的参与意愿、参与成本和默认费用的建立，对农业创新生态系统中协同创新的演化有重要影响。为了促进系统的演化，涉农企业、大学和研究机构应该建立更有效的奖惩机制和成本控制机制。政府应该设定合理的监管成本和激励区间，积极培育协同创新氛围。本文的创新点如下：将创新生态系统理论扩展到农业，特别是在发展中国家，这些国家的发展不平衡且不足。还构建了一个博弈模型来表示政府、涉农企业、大学和研究机构之间的协同创新演化，其中政府是内生变量。通过数值模拟，揭示了农业创新生态系统中协同创新的动态演化过程。这一研究丰富和扩展了创新生态系统理论，通过发展中国家的数学模型为农业创新生态系统提供了指导，从而促进了共生、共享和共创发展的趋同。
