Factors affecting the use of climate-smart agricultural technologies among wheat farmers in Alborz province with a planned behavior approach

Subject Areas : Agriculture Marketing and Commercialization

Seyed Mohamad Khademi Noshabadi ¹ , Maryam Omidi Najafabadi ² , Mehdi Mirdamadi ³

1 - Department of Economics, Agricultural Extension and Education, Science and Research Branch, Islamic Azad University, Tehran, Iran.
2 - Department of Agricultural Economics, Extension and Education, Science and Research Branch, Islamic Azad University, Tehran, Iran
3 - Department of Economics, Agricultural Extension and Education, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Received: 2023-07-03 Accepted : 2023-09-27 Published : 2023-12-01

Keywords: Climate Change, Theory of planned behavior, Climate-smart agriculture,

Abstract :

The increase of greenhouse gases such as methane and carbon dioxide in the earth's atmosphere has caused global warming and climate change. The effects of climate change, such as increasing temperatures and changes in rainfall, have threatened food security and reduced crop production. Therefore, it is necessary to use climate-smart agricultural (CSA) technologies for adaptation and resilience to these effects. The purpose of this study was to investigate the factors influencing the intention to use CSA technologies for climate-smart crop production using the theory of planned behavior. The method of this research was quantitative and research data has been collected through a questionnaire. The path analysis method was used to test the model. The statistical population of this research was 800 wheat farmers of Nazarabad city in Alborz province. The sample size was determined by Cochran's formula of 260 people and the sampling method was proportional stratified random. The results showed that the variables of attitude, subjective norms, and perceived behavioral control could predict 25.3% of the variance of the intention to use CSA technologies. The importance of these variables on the intention variable was respectively: subjective norms (0.340), perceived behavioral control (0.188), and attitude (0.148).

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