Defining sustainability indicators and improving productivity of resources production in Plain Mahidasht cropping pattern of Kermanshah Province (fractional programming approach)

Mohamadian, Farshad; Yazdani, Saeed

doi:10.22034/iaes.2016.17748

Defining sustainability indicators and improving productivity of resources production in Plain Mahidasht cropping pattern of Kermanshah Province (fractional programming approach)

Document Type : Research Paper

Authors

farshad mohamadian

saeed yazdani

10.22034/iaes.2016.17748

Abstract

Today, to prevent the degradation of soil and water resources and reducing the economic and social losses, Agricultural sustainability and providing sustainable cropping patterns has become one of the main priorities for policy makers in the agricultural sector. Therefore, this study in the field of Introduce Suitable cropping pattern for Equalization consumption of chemical fertilizers and pesticides, balance between available resources and the climate, as well as optimal utilization of them in Mahidasht plain is located in Kermanshah province. For this purpose, 263 questionnaires were complete by two-stage cluster sampling in 2014, and using multi-objective and fuzzy multi-objective fractional programming models, sustainable cropping patterns in the framework technical constraints of production and self-sufficiency in providing forage and nutritional needs of livestock and poultry of this Plain presented in six different scenarios. According to the results, it can be stated that the proposed cropping patterns are more sustainable than the current cropping patterns of region. Therefore suggested that the policy makers with regard to overall and regional goals, prioritize the Implementation of each of the proposed cropping patterns. This requires the Codification of legal requirements, incentive and punitive policies and use of agricultural extension agents in order to move to the cropping pattern that proposed.

Keywords

Cropping Pattern

multi-objective fractional programming

fuzzy multi-objective fractional programming

Mahidasht plain

Subjects