شناسایی عوامل مؤثر بر توسعة پایدار در بخش کشاورزی با تأکید بر عوامل سلامت و شرایط بحرانی (همه ‏گیری کووید ۱۹)

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری اقتصاد منابع طبیعی و محیط زیست، گروه اقتصاد کشاورزی، دانشکدة کشاورزی، دانشگاه شهید باهنر کرمان، کرمان، ایران.

2 نویسندة مسئول و استاد گروه اقتصاد کشاورزی، دانشکدة کشاورزی، دانشگاه شهید باهنر کرمان، کرمان، ایران.

3 استاد گروه مهندسی برق، دانشکدة فنی، دانشگاه شهید باهنر کرمان، کرمان، ایران.

4 استاد گروه اقتصاد کشاورزی، دانشکدة کشاورزی، دانشگاه شهید باهنر کرمان، کرمان، ایران.

چکیده

همه­‌گیری کرونا بر جنبه‌­های مختلف از جمله امنیت غذایی، زنجیره­‌های عرضه، و ایمنی مواد غذایی در بخش کشاورزی تأثیر گذاشته و معضلات اجتماعی، اقتصادی و بهداشتی ناشی از همه‌­گیری کووید 19 زندگی و رفاه جهانی را به‏طور مستقیم تهدید کرده است. هدف مطالعه حاضر شناسایی عوامل مؤثر بر توسعه پایدار در بخش کشاورزی با تأکید بر عوامل سلامت و شرایط بحرانی (همه‌‏گیری کووید ۱۹) بود. نخست، با استفاده از روش داده‌‏بنیاد و مطالعه ادبیات موضوعی تحقیق، عوامل مؤثر بر توسعه پایدار در بخش کشاورزی شناسایی شد و سپس، از طریق مصاحبة هفده‌‏سؤالی با بیست خبرة اقتصاد، ترویج و پایداری کشاورزی، شناسایی عوامل مؤثر مورد نظر در هدف پژوهش صورت گرفت. آنگاه با استفاده از روش دلفی فازی و نظر خبرگان، معیارها و زیرمعیارهای نهایی تحقیق به‌دست آمد. سرانجام، با روش دیمتل فازی، روابط درونی، تأثیر و تأثر زیرمعیارهای عوامل سلامت، شرایط بحرانی، زیست‌‏محیطی، اقتصادی و اجتماعی تعیین شدند. نتایج تحقیق نشان داد که در بین زیرمعیارهای عوامل سلامت، اجتماعی، اقتصادی، زیست‌‏محیطی و شرایط بحرانی (همه‌‏گیری کووید ۱۹)، زیرمعیارهای وضعیت تأمین منابع مالی پایدار در بخش سلامت، میزان توسعه فردی کشاورزان، تسهیل صادرات محصولات کشاورزی در شرایط بحرانی، وضعیت مدیریت پسماندهای بیمارستانی کووید ۱۹ و بحران طبیعی، به‏‌ترتیب، از بیشترین تأثیرگذاری برخوردارند؛ و از سوی دیگر، زیرمعیارهای میزان اهمیت اولویت پیشگیری بر درمان، میزان توسعه فردی کشاورزان، تسهیل صادرات محصولات کشاورزی در شرایط بحرانی، متوسط هزینه اجتماعی انتشار آلاینده‌‏ها و بحران سلامت، به‌‏ترتیب، از بیشترین تعامل با سایر زیرمعیارها برخوردارند. بنابراین، برای دستیابی به توسعه پایدار در بخش کشاورزی، باید در هر بُعد، به زیرمعیارهایی با قدرت تأثیرگذاری و تعامل بیشتر توجه ویژه صورت گیرد و با توجه به روابط علت‌‏ومعلولی بین این زیرمعیارها، برای مدیریت و کنترل آنها، برنامه­‌ریزی­‌های لازم انجام شود.

کلیدواژه‌ها


عنوان مقاله [English]

Identification of Factors Affecting the Agricultural Sector's Sustainable Development with a Focus on Health Factors and Critical Conditions (Covid-19 Pandemic)

نویسندگان [English]

  • mohammadreza rezaeefar 1
  • Mohamadreza Zaremehrjerdy 2
  • Hossein Nezamabadi-pour 3
  • Hossein MehrabiBoshrabadi 4
1 Ph.D Student in Economics of Natural Resources and Environment, Department of Agricultural Economics, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran.
2 Corresponding Author and Professor, Department of Agricultural Economics, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran
3 Professor, Department of Electrical Engineering, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran.
4 Professor, Department of Agricultural Economics, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran.
چکیده [English]

Introduction: Agriculture is the primary source of income for over one billion people worldwide. The pandemic control measures impeded the production and distribution of agricultural goods, which is a prolonged process including planting, maintenance, harvesting, and transportation. These activities were hindered by the travel restrictions imposed by countries around the world to prevent the spread of the Coronavirus. Agriculture is an industry influenced by inputs. In agricultural systems, the dependence on each production factor can vary dramatically, subjecting farmers to higher input costs. Various circumstances such as clogged ports or highways, delays in customs clearance, transportation interruptions, denied access to financing, increased interest rates, and capital costs can result in the need for more inputs. These additional expenses reduce the profitability of agricultural production and may result in substantial losses for farmers (Workie et al., 2020). Therefore, this study aimed at determining the factors affecting the agricultural sector's sustainable development with a focus on health aspects and critical situations (Covid-19 pandemic).
Material and Methods: Since the study aimed to offer and identify new concepts and modeling, it could be known as a  fundamental research in terms of the goal. In modeling, qualitative research was used. The qualitative section would employ grounded theory as its methodology. This study used a combination of quantitative and qualitative approaches to achieve its objectives. After defining the statistical population and determining that the target demographic for the study included experts, the snowball approach was used to estimate the desired sample size.
Results and Discussion: In this study, the significance of each criterion, the effectiveness of sub-criteria, the extent of sub-criteria interaction and sub-criteria relationship types of health, social, economic and environmental factors as well as crisis conditions (Covid-19 pandemic) were investigated.
Conclusion: In this study, grounded theory, the Fuzzy Delphi method, and the Fuzzy DEMATEL method were utilized to discover factors affecting the agricultural sector's sustainable development with a focus on health considerations and critical situations (Covid-19 pandemic). Firstly, 50 criteria were identified using grounded theory; secondly, based on the findings of the fuzzy Delphi approach, five primary criteria and 43 sub-criteria were picked. Using the Fuzzy DEMATEL approach, the internal relationships, influence, and efficacy of the model's primary criteria were determined. The research results indicated that the sub-criteria of providing sustainable financial resources in the health sector, the level of individual development of farmers, facilitating the export of agricultural products in critical conditions, and the status of medical waste management during the Covid-19 pandemic and natural disasters had the most significant impact among the sub-criteria of health, social, economic and environmental factors and crisis conditions.

کلیدواژه‌ها [English]

  • Sustainable Development
  • Agricultural Sector
  • Health Factors
  • Iran
  • Fuzzy
  • Acuña-Carvajal, F., Pinto-Tarazona, L., López-Ospina, H., Barros-Castro, R., Quezada, L. and Palacio, K. (2019). An integrated method to plan, structure and validate a business strategy using fuzzy DEMATEL and the balanced scorecard. Expert Systems with Applications, 122: 351-368.
  • Akram, M., Naz, S., Edalatpanah, S.A. and Mehreen, R. (2021). Group decision-making framework under linguistic q-rung orthopair fuzzy Einstein models. Soft Computing, 25(15): 10309-10334. DOI: 1007/s00500-021-05771-9.
  • Ali, I. and Alharbi, O.M.L. (2020). COVID-19: Disease, management, treatment, and social impact. Science of the Total Environment, 728: 138861. DOI: 10.1016/j.scitotenv.2020.138861.
  • Altuntas, S. and Dereli, T. (2015). A novel approach based on DEMATEL method and patent citation analysis for prioritizing a portfolio of investment projects. Expert Systems with Applications, 42(3): 1003-1012.
  • Berchin, I.I., Nunes, N.A., de Amorim, W.S., Zimmer, G.A.A., da Silva, F.R., Fornasari, V.H., ... and de Andrade, J.B. (2019). The contributions of public policies for strengthening family farming and increasing food security: the case of Brazil. Land Use Policy, 82: 573-584. DOI: 10.1016/j.landusepol.2018.12.043.
  • Buini, M. and Mohammadi, H. (2020). The role of rural management in sustainable development with emphasis on viability. New Researches of Geographical Sciences, Architecture and Urban Planning, 3(25): 184-196. (Persian)
  • Chang, B., Chang, C.W. and Wu, C.H. (2011). Fuzzy DEMATEL method for developing supplier selection criteria. Expert Systems with Applications, 38(3): 1850-1858.
  • de Andrade Guerra, J.B., Berchin, I.I., Garcia, J., da Silva Neiva, S., Jonck, A.V., Faraco, R.A., ... and Ribeiro, J.M.P. (2021). A literature-based study on the water-energy-food nexus for sustainable development. Stochastic Environmental Research and Risk Assessment, 35(1): 95-116. DOI: 10.1007/s00477-020-01772-6.
  • FAO (1991). FAO statement on sustainable development of agriculture. Food and Agriculture Organization (FAO) of the United Nations. Netherlands Conference on Agriculture and the Environment. Available at http://www.fao.org.
  • FAO (2017). How to feed the world in 2050. Rome, Italy: Food and Agriculture Organization (FAO) of the United Nations. Available at http://www.fao.org/fileadmin/templates/wsfs/docs/expert_paper/How_to_Feed_the_World_in_2050. pdf.
  • Galanakis, C.M. (2020). The food systems in the era of the coronavirus (COVID-19) pandemic crisis. Foods, 9(4): 523. DOI: 10.3390/foods9040523.
  • Ghanbari, A., Rahmani Fazli, A. and Azizpour, F. (2020). Analysis of the effect of geographical advantages on sustainable rural development of Khorramabad city. Regional Geography and Urban Planning, 36: 1-20. (Persian)
  • Glaser, B.G. and Strauss, A.L. (1967). The discovery of grounded theory. Aldine, New York.
  • Heffron, R.J., Körner, M.F., Schöpf, M., Wagner, J. and Weibelzahl, M. (2021). The role of flexibility in the light of the COVID-19 pandemic and beyond: contributing to a sustainable and resilient energy future in Europe. Renewable and Sustainable Energy Reviews, 140: 110743.
  • Kanitkar, T. (2020). The COVID-19 lockdown in India: impacts on the economy and the power sector. Global Transitions, 2: 150-156.
  • Kumar, P., Singh, S.S., Pandey, A.K., Singh, R.K., Srivastava, P.K., Kumar, M., ... and Drews, M. (2021). Multi-level impacts of the COVID-19 lockdown on agricultural systems in India: the case of Uttar Pradesh. Agricultural Systems, 187: 103027.
  • Laurett, R., Paco, A. and Mainardes, E.W. (2021). Sustainable development in agriculture and its antecedents, barriers and consequences – an exploratory study. Sustainable Production and Consumption, 27: 298-311. DOI: 10.1016/j.spc.2020.10.032.
  • Li, C.W. and Tzeng, G.H. (2009). Identification of a threshold value for the DEMATEL method using the maximum mean de-entropy algorithm to find critical services provided by a semiconductor intellectual property mall. Expert Systems with Applications, 36(6): 9891-9898.
  • Lin, C.J. and Wu, W.W. (2008). A causal analytical method for group decision-making under fuzzy environment. Expert Systems with Applications, 34(1): 205-213.
  • Magar, D.B.T., Pun, S., Pandit, R. and Rola-Rubzen, M.F. (2021). Pathways for building resilience to COVID-19 pandemic and revitalizing the Nepalese agriculture sector. Agricultural Systems, 187: 103022.
  • Mahdavi, A. (2020). Investigating the efficiency of higher education in Iran in order to achieve sustainable development. Economic Research (Sustainable Growth and Development), 20(4): 1-32. (Persian)
  • Mercure, J.F., Paim, M.A., Bocquillon, P., Lindner, S., Salas, P., Martinelli, P., ... and Viñuales, J.E. (2019). System complexity and policy integration challenges: the Brazilian energy-water-food nexus. Renewable and Sustainable Energy Reviews, 105: 230-243. DOI: 10.1016/j.rser.2019.01.045.
  • Meshkbid, A., Amar, T. and Qureshi, M. (2020). Comparative analysis of agricultural development policies in the last two decades in Guilan province with emphasis on sustainable development (case study: Roudsar city). Journal of New Attitudes in Human Geography, 12(3): 381-403. (Persian)
  • Morton, J. (2020). On the susceptibility and vulnerability of agricultural value chains to COVID-19. World Development, 136: 105132. DOI: 10.1016/j.worlddev.2020.105132.
  • Najafi Alamdarlou. H. and Yunesian. A. (2020). About dealing with the spread of the corona virus (27) Investigating the economic effects of the spread of the corona virus on the agricultural sector of Iran. IPRC Report No. 16972. Tehran: Economic Studies Office of the Islamic Parliament Research Center (IPRC) of the Islamic Republic of Iran. (Persian)
  • Neto, R., Berchin, I., Magtoto, M., Berchin, S., Xavier, W. and Andrade Guerra, J.B. (2018). An integrative approach for the water-energy-food nexus in beef cattle production: a simulation of the proposed model to Brazil. Journal of Cleaner Production, 204: 1108-1123. DOI: 10.1016/j.jclepro.2018.08.200.
  • Schaltegger, S., and Wagner, M. (2011). Sustainable entrepreneurship and sustainability innovation: categories and interactions. Business Strategy and the Environment, 20(4): 222-237.
  • Sohaili, H., Hajiqurbani, M., Gerami, B., Rezaei, S., Khodaparast., Y., Rajabi, F., Jahanfar, N. and Narimani, S. (2019). An introduction to the effects of the spread of the corona virus on the economy of Iran. The Deputy of Economic Affairs and Planning of the Ministry of Cooperation, Labor and Social Welfare. (Persian)
  • Song, W., Zhu, Y. and Zhao, Q. (2020). Analyzing barriers for adopting sustainable online consumption: a rough hierarchical DEMATEL method. Computers and Industrial Engineering, 140: 106279.
  • Tadić, S., Zečević, S. and Krstić, M. (2014). A novel hybrid MCDM model based on fuzzy DEMATEL, fuzzy ANP and fuzzy VIKOR for city logistics concept selection. Expert Systems with Applications, 41(18): 8112-8128.
  • Valizadeh, N. and Hayati, D. (2021). Development and validation of an index to measure agricultural sustainability. Journal of Cleaner Production, 280: 123797. DOI: 10.1016/j.jclepro.2020.123797.
  • Wang, L., Garg, H. and Li, N. (2021). Pythagorean fuzzy interactive Hamacher power aggregation operators for assessment of express service quality with entropy weight. Soft Computing, 25(2): 973-993.
  • Workie, E., Mackolil, J., Nyika, J. and Ramadas, S. (2020). Deciphering the impact of COVID-19 pandemic on food security, agriculture, and livelihoods: a review of the evidence from developing countries. Current Research in Environmental Sustainability, 2: 100014. DOI: 10.1016/j.crsust.2020.100014.
  • Zamani, Z. and Tayyebi, S. (2020). Foreign direct investment, the determining factor of sustainable development in developing countries and countries with emerging markets. Economic Research (Sustainable Growth and Development), 20(4): 33-66. (Persian)