Investigating the Mutual Correlations between Components of Climate-Smart Agriculture, Using DEMATEL Technique

Document Type : Research Paper

Authors

1 PhD of student Agricultral development, Faculty of Economics and Agricultural Development, University of Tehran, Tehran, Iran

2 Professor, Departmen of Agricultural Management of Development, Faculty of Agricultural Economics and Development, University of Tehran, Karaj, Iran

3 Professor, Department of Agricultural Management and Development, Faculty of Agricultural Economics and Development, University of Tehran, Karaj, Iran

Abstract

Food and Agriculture Organization of the United Nations (FAO) has introduced climate-smart agriculture as a resistant and productive agriculture for better management of resources. This study aimed to recognition and obtaining the affecting or undergoing (cause and effect, and mutual relationship) components of climate-smart agriculture. DEMATEL technique was employed to identify and extract the Mutual relationships (effective or influential, causal and causal relationships) of the components of the climate-smart agriculture and the extent to which they interact with this agricultural system. The research was applied to a descriptive-survey method. The statistical population of the study was 15 experts in agricultural development, Agricultural extension and education, meteorology and soil science, University of Tehran. The research instrument was a questionnaire whose validity (its appearance and content) was confirmed by the opinion of professors of Tehran University. In this research, Excel software and DEMETLIC technique have been used to analyze the data. According to the results of the research, the most effective variable among the main components of agriculture in the climate-smart agricultural, increase in adaptability with effect intensity of 0.34 and the most effective the influence variable is, income sustainability with the effect intensity of 0.44, and also climate-smart agriculture with 11.18 highest interaction (both effect And effect sustainability) and income sustainability with a coefficient of 8.63 has the least interaction with other components and the agricultural system itself. The results indicate that among the main sub-components of agriculture, climate-smart agricultural is the most effective variable, improvement of water management with the intensity of 0.59 and the most effective variable, maintaining land use with the intensity of 0.53, and in terms of interaction, agricultural climate with a coefficient 3.14. The highest and 0.55 percent of agricultural insurance products have the least interaction with other subspecies and the agricultural system itself.

Keywords

References

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Iranian Journal of Agricultural Economics and Development Research
Volume 52, Issue 3
August 2021
Pages 569-589

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