Agritourism is known as a means of identification and realization of various on-farm and off-farm attractions existing in rural areas. This study aims at exploring the main determinants of agritourism development in Iran. Data were obtained via field survey and interview with 115 sample farmers from areas currently presenting agritourism services. By using a multinomial logit model, the impacts of theoretically expected variables were estimated. Findings/Originality: Education is the main driver of agritourism development. The programs aiming at increasing the knowledge of farmers regarding different advantages of agritourism should be paid special attention by the government. The result also indicates direct effect of diversified crops and services on probability to get involved in agritourism business. Provision of more crops and services on the farm generates more attraction for tourists and can lead to development of agritourism. Likewise, farm size revealed the same association, while the age of farmers has an adverse effect on provision of agritourism.

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Growing development of various industries and the necessity for paying attention to sustainable development, on the one hand, and undesirable effects of environmental pollution on various agricultural and social aspects of countries, on the other hand, have caused environmental protection to be one of the main concerns of policymakers. Accordingly, in recent decades, a large amount of theoretical and empirical research has focused on the methods of improving environmental quality and related effective factors. This research mainly aims to investigate the impact of globalization and agricultural value-added on the amount of pollution arisen due to CO2 emissions in the agricultural sector in Iran. For this purpose, a distributed lag nonlinear model is used over the period 1979-2016. The results indicate that positive agricultural value-added and globalization shocks have a direct and inverse relationship with CO2 emissions, respectively. At the same time, a negative shock in agricultural value-added reduces the pollution of this sector. Moreover, the results indicate significant asymmetry between agricultural value-added and pollution in this sector. The results were obtained by the NARDL method, which is used for the first time to estimate the effect of agricultural value-added and globalization on pollution arisen from CO2 emissions in the Iranian agricultural sector.

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