TY - JOUR
T1 - 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
AU - Shafia, Mohammad Ali
AU - Loghman, Sayyede Ashraf Moousavi
AU - Badiee, Aghdas
AU - Shahanaghi, Kamran
N1 - Publisher Copyright:
© 2018 Journal of Optimization in Industrial Engineering. All Rights Reserved.
PY - 2018/7/1
Y1 - 2018/7/1
N2 - Production is a key economic activity with potential long-term social benefits that can be thoroughly realised 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.
AB - Production is a key economic activity with potential long-term social benefits that can be thoroughly realised 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.
KW - Fuzzy programming
KW - Government
KW - Grey quadratic programming
KW - Social benefit
KW - Stackelberg game
KW - Sustainable agriculture
UR - http://www.scopus.com/inward/record.url?scp=85064259776&partnerID=8YFLogxK
U2 - 10.22094/joie.2018.622.1400
DO - 10.22094/joie.2018.622.1400
M3 - Article
AN - SCOPUS:85064259776
SN - 2251-9904
VL - 11
SP - 119
EP - 127
JO - Journal of Optimization in Industrial Engineering
JF - Journal of Optimization in Industrial Engineering
IS - 2
ER -