a multi criteria analysis to assess sustainable olive cultivation at the regional level: an application of the topsis model

Rapid population growth and the industrial revolution have led to an increase in the demand for olive oil. on the other hand, the cost of olive oil imports and the less production of olive has forced the government to develop olive production through an olive localization project. some economic, environmental, public, and private factors influence the localization of olive cultivation. therefore, these criteria were evaluated using multi criteria decision making (mcdm) techniques. for this purpose, the topsis model was applied to evaluate these criteria. seventy three percent of the sample (372) indicated that adaptation was successful. the results showed that land allocation, increase in income and improvement in employment were the most important factors, at the same time transforming industries and credit opportunities were less important factors for the adaptation of the olive production. in addition, the results of the model can be used by policy makers as a prerequisite tool for the development of olive production in new regions to reduce policy opportunity costs and reduce dependence on olive oil imports.

a multi criteria analysis to assess sustainable olive cultivation at the regional level: an application of the topsis model

rapid population growth and the industrial revolution have led to an increase in the demand for olive oil. on the other hand, the cost of olive oil imports and the less production of olive has forced the government to develop olive production through an olive localization project. some economic, environmental, public, and private factors influence the localization of olive cultivation. therefore, these criteria were evaluated using multi criteria decision making (mcdm) techniques. for this purpose, the topsis model was applied to evaluate these criteria. seventy three percent of the sample (372) indicated that adaptation was successful. the results showed that land allocation, increase in income and improvement in employment were the most important factors, at the same time transforming industries and credit opportunities were less important factors for the adaptation of the olive production. in addition, the results of the model can be used by policy makers as a prerequisite tool for the development of olive production in new regions to reduce policy opportunity costs and reduce dependence on olive oil imports.