آمار
| تعداد نشریات | 13 |
| تعداد شمارهها | 642 |
| تعداد مقالات | 6,712 |
| تعداد مشاهده مقاله | 9,305,035 |
| تعداد دریافت فایل اصل مقاله | 8,692,529 |
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 | ||
|
Alcamo, J., Henrichs, T., and Rösch, T. 2000. World water in 2025‐global modeling and scenario analysis for the World Commission on Water for the 21st Century, Kassel World Water Series, Univ. of Kassel, Kassel, Germany.
Ali Shah, S.A., and Longsheng, C. 2020. New environmental performance index for measuring sector-wise environmental performance: a case study of major economic sectors in Pakistan. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-020-10145-z
Arnaldo Valdés, R., Liang Cheng, S., Gómez Comendador, V., and Sáez Nieto, F. 2018. Application of Bayesian Networks and Information Theory to Estimate the Occurrence of Mid-Air Collisions Based on Accident Precursors. Entropy. 20, 969.
Batary, P.V., Dicks, L., Kleijn, D.J., and Sutherland, W. 2015. The role agri-environmental schemes in conservation and environmental management. Conservation Biology. 29(4), 1006-1016.
Carpani, M., and Giupponi, C. 2010. Construction of a Bayesian Network for the Assessment of Agri-Environmental Measures – The Case Study of the Venice Lagoon Watershed. Italian Journal of Agronomy. 3, 265-274.
Carriger, J.F., and Parker, R.A. 2021. Conceptual Bayesian networks for contaminated site ecological risk assessment and remediation support. Journal of Environmental Management 278, 1-11.
Chai, J., Shi, H., Lu, Q., and Hu, Y. 2020. Quantifying and predicting the Water-Energy-Food-Economy-Society-Environment Nexus based on Bayesian networks - a case study of China. Journal of Cleaner Production. 256,1-27.
Chakrabarty, T., Akter, A., Saifullah, A.S.M., Sheikh, Md.S., Bhowmick, A.C. 2014. Use of fertilizer and pesticide for crop production in agrarian area of Tangail District Bangladesh. Environment and Ecology Research. 2 (6), 253–261.
Dkhili, H. 2019. Environmental Performance and Economic Growth in Middle East and North Africa Countries. Journal of Health & Pollution. 9 (24), 1-9.
Falkenmark M.J., Lundqvist, C., and Widstrand, C. 1989. Macro-scale water scarcity requires micro-scale approaches, Natural Resources Forum. 13, 258–267.
Food and Agricultural Organization of the United Nations, 2011. The state of the world’s land and water resources for food and agricultural- managing systems at risk (1st ed). Rome and Earthscan, London.
Grotkiewicz, K. 2017. Analysis of economic and agricultural indicators under sustainable agriculture conditions with the use of bayesian modelling. Technical Sciences. 20(3), 209-225.
High Level Panel of Experts on Food Security and Nutrition (HLPE/FSN) 2016. Sustainable agricultural development for food security and nutrition: what roles for livestock? A report by the High Level Panel of Experts on Food Security and Nutrition of the Committee on World Food Security, Rome.144 pp. Available at: http://www.fao.org/fileadmin/user_upload/hlpe/hlpe_documents/HLPE_Report
Jafari Samimi, A., Esmaeili Erami, N., and Mehnatfar, Y. 2010. Environmental Performance Index and Economic Growth: evidence from some Developing Countries. Australian Journal of Basic and Applied Sciences. 4(8), 3098-3102.
Kaikkonen, L., Parviainen, T., Rahikainen, M., Uusitalo, L., and Lehikoinen, A. 2020. Bayesian Networks in Environmental Risk Assessment: A Review. Integrated Environmental Assessment and Management. 17(5), 1-17.
Korb K.B. and Nicholson, A.E. 2011. Bayesian artificial intelligence. Chapman & Hall/CRC, London, UK.
Levontin, P., Kulmala, S., Haapasaari, P. and Kuikka, S. 2011. Integration of biological, economic, and sociological knowledge by Bayesian belief networks: the interdisciplinary evaluation of potential management plans for Baltic salmon. ICES Journal of Marine Science. 68(3), 632–638.
Li, S., Gong, Q., and Yang, S. 2019. Analysis of the Agricultural Economy and Agricultural Pollution Using the Decoupling Index in Chengdu, China. International Journal of Environmental Research and Public Health. 16, 1-11.
Liu, J., Yang, H., Gosllng, S.N., Kummu, M., florke, M., Pfister, S., Hanasaki, N., Wada, Y., Zhang, X., Zheng, C., Alcamo, J., and Oki, T. 2017. Water scarcity assessments in the past, present, and future. Agu publications Earth’s Future. 5, 545-559.
Maleki, A. 2018. Environmental Pollution in the Middle East. Strategics Studies of Public Policy.Strategic Studies of Globalization Journal. 8(27), 349-359.
Mamitimin, Y., Feike, T., Doluschitz, R. 2015. Bayesian network modeling to improve water pricing practices in northwest China. Water. 7(10), 5617-5637.
Mitchell, T.M. 1997. Machine Learning. McGraw-Hill.
Mohammadian, F., Yazdani, S., and Fehresti-sani, M. 2020. The Role of Diversity in Improving Environmental Indicators: A Case Study in Mahidasht Plain, Iran. International Journal of Environmental Research 1-14, doi.org/10.1007/s41742-020-00288-9.
Muller, A., Schader, C., El-Hage Scialabba, N., Judith Brüggemann, J., Isensee, A., Erb, K.H., Smith, P., Peter Klocke, P., Leiber, F., Stolz, F., Niggli, U. 2017. Strategies for feeding the world more sustainably with organic agriculture. Nature Communications | DOI: 10.1038/s41467-017-01410-w
Pretty, J. 2008. Agricultural sustainability: Concepts, principles and evidence. Philos. Trans. R. Society of London, Biological Sciences. 363, 447-465.
Punith Kumar, L.M., and Indria, M. 2017. Trends in Fertilizer Consumption and Food Grain Production in India: A Co-Integration Analysis. SDMIMD Journal of Management. 2,45-50.
Radermacher, W. 2009. Sustainable development in the European Union. Monitoring report of the EU sustainable development strategy.
Russell, A., Chalaieny, M., Gazdiyeva, B., Sara Zhumabayeva, S., Kurmanbayeva, A., Akhmetov, K.K., Mukanov, Y., McCann, M., Ali, M., Tucker, A., Vitolo, C., and Althonayan, A. 2018. A Spatial Survey of Environmental Indicators for Kazakhstan: An Examination of Current Conditions and Future Needs. International Journal of Environmental Research. 12, 735-748.
Safarelizadeh, E., Hosseinzadeh, R., and Akbari, M. 2017. The Analysis of the Relative Performance of the Middle East in Terms of Sustainable Development Indices. Journal of Regional Planning. 8(29), 1-11.
Sharma, N., and Singhvi, R. 2017. Effects of chemical fertilizers and pesticides on human health and environment: a review. Int. J. Agric. Environ. Biotechnol. 10 (6): 675–679.
Sule, I., Khan, F., Butt, S., and Yang, M. 2018. Kick control reliability analysis of managed pressure drilling operation. Journal of Loss Prevention in the Process Industries. 52, 7–20.
Sulewski, P., and Kloczho-Gajewska Sroka, W. 2018. Relations between Environmental, Economic and Social Dimensions of Farms’ Sustainability.sustainability.10,1-23.
United Nations 2015. Population Pyramids of the World from 1950 to 2100. World Population Prospects. Retrieved from. https://un.org
United Nations. 2020. Policy Brief: The Impact of COVID-19 on Food Security and Nutrition.
United Nations. 2015. Resolution Adopted by the General Assembly on 25 September 2015. Transforming Our World: The 2030 Agenda for Sustainable Development; Seventieth Session; Distr. General 21; United Nations: New York, NY, USA.
Vikari, A., Hietala, R., Huusela-Veistola, E., and Hyvönen, T. 2007. Evaluating agri-environmental indicators (AEIs)--Use and limitations of international indicators at national level. Ecological Indicators. 7(1), 150-163.
Volkov, A., Morkunas, M., Balezentis, T. and Sapolaite, V. 2020. Economic and Environmental Performance of the Agricultural Sectors of the Selected EU Countries. Sustainability. 12, 1-17.
Vörösmarty C.J., Green, P., Salisbury, J., Lammers, R.B. 2000. Global water resources: Vulnerability from climate change and population growth, Science. 28, 284-288.
Widayati, T., Waridin, W., and Mafruhah, L. 2019. Between Environmental Performance and Agricultural Productivity: Assessing the Convergence and Divergence of Demand-Driven Agricultural Extension," International Journal of Energy Economics and Policy. 9(4), 158-165.
World Health Organization (WHO); Food and Agriculture Organization of the United Nations (FAO). Organically Produced Foods. Available online: http://ftp.fao.org/docrep/fao/010/a1385e/a1385e00.pdf (accessed on 14 October 2015).
Zarandi Motasadi, S., and Bebaran, S. 2009. Strategies of the environmental sector to achieve the goals of the 20-year vision document of the country. Strategy Quarterly. 48, 101-122. | ||
|
آمار تعداد مشاهده مقاله: 153 تعداد دریافت فایل اصل مقاله: 108 |
||
سامانه مدیریت نشریات علمی. طراحی و پیاده سازی از سیناوب