Evolutionary Game Mechanism on Complex Networks of Green Agricultural Production under Intensive Management Pattern

The diffusion of green agricultural production under intensive management pattern is an interactive process of strategy comparison and learning on complex networks among traditional farmers and new agricultural operation entities. Based on the theory of evolutionary game and complex networks, we construct evolutionary game models on the scale-free networks to simulate the evolution process of green agricultural production under the market mechanism and the government guidance mechanism, respectively. The comparison analysis results in different scenarios show that the stable state of the green agricultural production network is determined by interactions among the subjects. Detailed experimental results indicate that the double-score system under government guidance mechanism has a significant effect on the diffusion of the green agricultural production, of which the extra reward or penalty obtained from government is crucial. Besides, the diffusion of the green agricultural production under the market mechanism is mostly affected by the net profit of green agricultural production. These results are of great significance for increasing efficiency of government’s incentive and promoting the initiatives of traditional farmers and new agricultural operation entities in the green agricultural production.

[1]  P. Nie,et al.  Agricultural Pollution and Regulation: How to Subsidize Agriculture? , 2017 .

[2]  R. Rena.  Green Revolution: Indian Agricultural Experience - A Paradigm for Eritrea , 2004 .

[3]  Raymond De Young,et al.  Environmental Awareness, Economic Orientation, and Farming Practices: A Comparison of Organic and Conventional Farmers , 1997, Environmental management.

[4]  Yu Tao,et al.  Current status of agricultural and rural non-point source Pollution assessment in China. , 2010, Environmental pollution.

[5]  Dung Tien Luu,et al.  Willingness to pay and actual purchase decision for organic agriculture products in Vietnam , 2019, Economic Journal of Emerging Markets.

[6]  G. Yu,et al.  An evaluation of China’s agricultural green production: 1978–2017 , 2020 .

[7]  Nicholas E. Rada.  India's post-green-revolution agricultural performance: what is driving growth? , 2016 .

[8]  V. Valdmanis,et al.  Green growth and structural change in Chinese agricultural sector during 1997–2014 , 2018, China Economic Review.

[9]  V. Visha Kumari,et al.  Organic farming in India: Status, opportunities and constraints , 2016 .

[10]  A. Auclair.  Ecological Factors in the Development of Intensive‐Management Ecosystems in Midwestern United States , 1976 .

[11]  M C S Bantilan,et al.  Competitiveness and technical efficiency: Determinants in the groundnut oil sector of India , 2012 .

[12]  A Amarender A. Reddy,et al.  Producer Organisations in Indian Agriculture , 2014 .

[13]  M. Lapka,et al.  Rural development in the context of agricultural "green" subsidies: Czech farmers' responses , 2018 .

[14]  Adrian Martin,et al.  Green Revolution in Sub-Saharan Africa: Implications of Imposed Innovation for the Wellbeing of Rural Smallholders , 2016 .

[15]  Liguo Zhang,et al.  Toward cleaner production: What drives farmers to adopt eco-friendly agricultural production? , 2018 .

[16]  B. Girard,et al.  Enabling a sustainable and prosperous future through science and innovation in the bioeconomy at Agriculture and Agri-Food Canada. , 2018, New biotechnology.

[17]  Wu Xiaoping,et al.  Efficiency of Traffic Routing When Some Users Are Controlled in Grid Traffic Networks , 2012 .

[18]  M. Lubell,et al.  Local diffusion networks act as pathways?to sustainable agriculture in the Sacramento River Valley , 2007 .

[19]  Emanuele Cozzo,et al.  A Complex Network Framework to Model Cognition: Unveiling Correlation Structures from Connectivity , 2018, Complex..

[20]  Wei Zhang,et al.  Emergy evaluation of agricultural sustainability of Northwest China before and after the grain-for-green policy , 2014 .

[21]  Jun Luo,et al.  Scare Behavior Diffusion Model of Health Food Safety Based on Complex Network , 2018, Complex..

[22]  D. Rodríguez,et al.  Designing sustainable agricultural production systems for a changing world: Methods and applications , 2014 .

[23]  Information, Credit Reputation and the Motivation of Producing Green Agricultural Products , 2010, 2010 International Conference on Management and Service Science.

[24]  U. Behera.  Integrated Farming Systems and the Livelihood Security of Small and Marginal Farmers in India and Other Developing Countries , 2016 .

[25]  J. Bugri.  The dynamics of tenure security, agricultural production and environmental degradation in Africa: Evidence from stakeholders in north-east Ghana , 2008 .

[26]  Considering Structural, Individual and Social Network Explanations for Ecologically Sustainable Agriculture: An Example Drawn from Washington State Wheat Growers , 2009 .

[27]  D. Mburu,et al.  THE IMPACT OF GREEN SCHEMES ON THE LIVELIHOOD OF COMMUNITIES IN THE KAVANGO REGION, NAMIBIA , 2016 .

[28]  Pashupati Chaudhary,et al.  Institutional and technological innovation: Understanding agricultural adaptation to climate change in Nepal , 2012 .

[29]  Farmers’ attitudes towards common farming practices in northern Greece: implications for environmental pollution , 2016, Nutrient Cycling in Agroecosystems.

[30]  Shuntian Yao,et al.  The Effectiveness of the Multilateral Coalition to Develop a Green Agricultural Products Market in China Based on a TU Cooperative Game Analysis , 2018 .

[31]  Xiaofeng Li,et al.  Impacts of China's Rural Land Policy and Administration on Rural Economy and Grain Production , 2006 .