Title of article
A Novel Model for the Analysis of Interactions Between Governments and Agricultures in a Study of Social Beneficial Externalities Based on the Stackelberg Game:A Case Study on Cotton production
Author/Authors
Shafia, Mohammad Ali Department of industrial engineering - Iran University of Science and Technology, Tehran, Iran , Moousavi Loghmanb, Ashraf Department of industrial engineering - Iran University of Science and Technology, Tehran, Iran , Badiee, aghdas Department of industrial engineering - Iran University of Science and Technology, Tehran, Iran , Shahanaghi, kamran Department of industrial engineering - Iran University of Science and Technology, Tehran, Iran
Pages
9
From page
119
To page
127
Abstract
Production is a key economic activity with potential long-term social benefits realised thoroughly be can that only if governments comply
with their duties towards domestic production. Governments are responsible for the production of sustainable agricultural products via
appropriate allocation of subsidies and regulation of price policies that would help take advantage of the potentials underlying agricultural
production. In this paper, a model is developed to investigate the interaction between two decision makers in the stackelberg game,
government as leader and agriculture as follower, with the ultimate aim of providing benefits to all sectors in the society in the sustainable
agriculture paradigm. The proposed model is validated and its efficiency demonstrated via a case study of cotton production as a strategic
agricultural production. The model is first solved using a combination of fuzzy mathematical and grey quadratic programming methods to
account for the inherent uncertainty in a number of problem parameters. The model is then analyzed against various government-producer
interaction scenarios and finally, the analysis results are compared.
Keywords
Government , Sustainable agriculture , Stackelberg game , Social benefit , Grey quadratic programming , Fuzzy programming
Journal title
Astroparticle Physics
Serial Year
2018
Record number
2435712
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