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Over the past decades, increasing in consumption of goods and services led to the destruction of natural resources and severe damage to the environment, which has led many consumers to reduce environmental impact caused by their consumption. In this study, it has been tried to investigate the effect of knowledge on environmental issues, consumer perception and consumer recycling behavior on the purchasing behavior of green products using structural equation modeling method. For this purpose, it was used 215 consumers in the city of Mashhad in 1396.
The results of structural equation modeling suggest that consumers' perception or attitude is the most important predictor of the purchasing behavior of green food products, which attempts to raise awareness of consumers can be one of the most important measures through advertising tools to introduce their various abilities to reduce environmental degradation.
 

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Agricultural sector plays a fundamental role in development, especially in developing countries. Investment in targeted agribusinesses can develop and improve agricultural value chains. Because of capital shortages and different investment requirements of the sector, the capital allocation has become an important decision-making issue for managers and investors of the agricultural sector in recent years. Investors have many alternative investment options in the agriculture sector and factors such as return on investment, investor expertise and interest, government policies, and the comparative advantages of each region can affect the direction of the capital to different agricultural subsectors. The main objective of this study was to investigate investment priorities in the livestock and poultry value chains of Khorasan Razavi Province in Iran. This paper employs the Analytic Network Process (ANP) model for agribusiness investment decisions, which is one of the important Multi-Criteria Decision-Making (MCDM) methods. The contribution of this research is that it ranks agribusiness activities on the livestock and poultry value chains and determines the most important areas for investment direction. The results show that “government policies and laws” are the most important factor for business selection in the livestock and poultry subsectors. Furthermore, livestock and poultry feed businesses contribute the most to the progress of the value chains. Therefore, stability in policy-making and appropriate legislation to support agricultural businesses can be effective in this regard.