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Assessing Sustainability Development Indicators Impacts on Environmental Performance Index and Agri-Economic Indicators in EU and ME countries : A Bayesian Network Based Model | ||
| Environmental Resources Research | ||
| دوره 10، شماره 1، فروردین 2022، صفحه 51-70 اصل مقاله (2.28 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22069/ijerr.2022.19633.1360 | ||
| نویسندگان | ||
| somayeh naghavi* 1؛ Ali Firoozzare2؛ mehdi Ahmadyousefi3 | ||
| 1Assistant Professor, Department of Agricultural Economics, Faculty of Agriculture, University of Jiroft, Kerman, Iran, | ||
| 2Assistant Professor, Department of Agricultural Economics, Faculty of Agriculture, Ferdowsi University of Mashhad, Khorasan Razavi, Iran, | ||
| 3Ph.D. Departments of Plant Physiology, Faculty of Agriculture, University of Jiroft, Kerman, Iran, | ||
| چکیده | ||
| Agricultural sector has a key role in relation to poverty reduction and improving food security.One of important challenges in the agriculture sector is to feed population that is increasing in the world. Agriculture has significant positive and negative impacts on the environment and earth ecosystem. The agriculture sector is a significant contributor of pollution that restricts forty-nine increasing agriculture production. Climate change has led researchers to pay close attention to environmental performance. Bayesian networks are relatively well recognized to be an advantageous method for different types of environmental model. This study was designed a Bayesian network model to investigate the relation between agri-economic-environmental indicators and Environmental performance Index in the EU countries compared to the Middle East countries, in 2018. the Middle East countries is faced with most challenges for sustainability development. The scarcity of water, population growth and degradation of natural ecosystem are some of these challenges. Our findings showed relations between variables of model based on expert interview and previous researches. The results indicated land productivity is directly affected by node Agriculture area certified organic.We predicted with developing Agriculture area certified organic and conservation agricultural area, and productivity can be increased in EU Countries. Also, our findings showed with decreasing N2O and CH4 emissions indicators, increased Enivironmental performance index in EU countries and decreasesd in Middle East countries.Therefore, EU countries is improved agricultural practices and pesticides and fertilizer, But ME countries have not been successful in improving the environmental performance index and sustainable development objectives. | ||
| کلیدواژهها | ||
| Agri-environmental-economic indicators؛ Agriculture area certified organic؛ Agricultural value added؛ Bayesian Network؛ Environmental Performance Index | ||
| مراجع | ||
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