Document Type : Research Paper

Authors

1 Department of Agricultural Extension and Education, Agricultural Sciences and Natural Resources University of Khuzestan, Mollasani, Iran

2 MSC

Abstract

This study was conducted with the general purpose of developing strategies for the use of renewable energy in the agricultural sector in Bushehr province. In this study, first, using analytical studies and literature, the subject of the four SWOT points, namely strength, weakness, opportunity and threat, were identified and prioritized using the AHP technique. The statistical population of the study were subject-aware experts and specialists in relevant organizations who were purposefully selected for the study. Data analysis was performed using SWOT-AHP technique using Expert Choice software. Findings showed that in evaluating the criteria, strengths, weaknesses, threats, opportunities were the first to fourth priorities that the weights obtained from the results of these points indicate the dominance of risky space over space. useful. In addition, in prioritizing strategic areas, the results showed that the first SO strategy is aggressive strategy (maximum-maximum), the second strategy is ST strategy is contingent strategy (maximum-minimum), the third WO strategy is adaptive strategy (minimum-maximum strategy). And finally, the last strategy in the subject under consideration is the WT strategy, that is, the defense strategy (at least - at least). In general, the results of this research can provide new insights for energy and environmental policy makers.

Highlights

This study was conducted with the general purpose of developing strategies for renewable energy use in the agricultural sector in Bushehr province. First, the four points of SWOT including strength, weakness, opportunity and threat were identified using analytical studies and literature review, and then prioritized through the AHP technique. The statistical population of the study was subject-aware experts and specialists in relevant organizations in Bushehr province including Agriculture Jihad, Agricultural Recearch Center, Environment, and New Energy Research Center. According to the principles of strategic studies, targeted sampling method was used in this research so that in each of above-mentioned organizations, 15 individuals were chosen for study. Data analysis was done using SWOT-AHP technique and through Expert Choice software. Findings showed that in evaluating the criteria, the points of strengths, weaknesses, threats and opportunities were assigned the first to fourth priorities, respectively. The weights obtained from the results of these points indicate the dominance of risky space over useful space. In addition, in prioritizing strategic areas, the results showed that the first SO strategy is aggressive strategy (maximum-maximum), the second strategy is ST strategy is contingent strategy (maximum-minimum), the third WO strategy is adaptive strategy (minimum-maximum strategy). And finally, the last strategy in the subject under consideration is the WT strategy, that is, the defense strategy (at least - at least). In general, the results obtained in this research can lead to the creation of new insights among energy and environmental policy-makers.

Keywords

Main Subjects

  • Alam, S. S., Hashim, N. H. N., Rashid, M., Omar, N. A., Ahsan, N., & Ismail, M. D. (2014). Small-scale households renewable energy usage intention: Theoretical development and empirical settings. Renewable Energy68, 255-263
  • Ali, Q., Raza, A., Narjis, S., Saeed, S., & Khan, M. T. I. (2020). Potential of renewable energy, agriculture, and financial sector for the economic growth: Evidence from politically free, partly free and not free countries. Renewable Energy162, 934-947
  • Asadpourian, Z., Rahimian, M., & Gholamrezai, S. (2020). SWOT-AHP-TOWS analysis for sustainable ecotourism development in the best area in Lorestan Province, Iran. Social Indicators Research152(1), 289-315.
  • Aydi, A. Kazemieh, F. Raheli, H. (2019). Explanation of factors affecting the possibility of using solar energy in the agricultural sector from the point of view of Jihad Keshavarzi experts (case study: Maragheh County). Quarterly journal of agricultural knowledge and sustainable production, 29 (3); 223-236. (In Persion).
  • Aydi, A., Kazemieh, F., & Raheli, H. (2019). Explaining the Factors Affecting the Possibility of Solar Energy Utilization in the Agricultural Sector from the Viewpoints of Agriculture Jahad Experts (Case Study: Maragheh County). Agricultural knowledge and sustainable production quarterly, 29 (3), 223-336. (In Persian). https://sustainagriculture.tabrizu.ac.ir/article_9396.html
  • Aydoğan, B., & Vardar, G. (2020). Evaluating the role of renewable energy, economic growth and agriculture on CO2 emission in E7 countries. International Journal of Sustainable Energy39(4), 335-348
  • Azizi, Z. Yghoubi, J. Yazdanpani, M. (2020). Investigating the intention of villagers to use biofuels and factors affecting it in Tarem county. Rural Research Quarterly, 11 (3); 466-481. (In Persion
  • Azizi, Z., Yaghoubi, J., & Yazdanpanah, M. (2017). Meta-analysis of obstacles to the development and expansion of the use of renewable energy. The first national conference of new ideas and technologies in geographic sciences. Zanjan, Iran. (In Persian). https://civilica.com/doc/679493/
  • Baz, K., Xu, D., Ampofo, G. M. K., Ali, I., Khan, I., Cheng, J., & Ali, H. (2019). Energy consumption and economic growth nexus: New evidence from Pakistan using asymmetric analysis. Energy189, 116254.
  • Ben Jebli, M., & Ben Youssef, S. (2017). Renewable energy consumption and agriculture: evidence for cointegration and Granger causality for Tunisian economy. International Journal of Sustainable Development & World Ecology24(2), 149-158.
  • Berimani, M. Kabani Nejadian, A. (2014). Renewable energies and sustainable development in Iran. Two quarterly renewable and new energies, 1(1); 21-36. (In Persion)
  • Bilgen, S. (2015). Calculation of thermodynamic values for agricultural residues as potential renewable energy resources. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects37(12), 1268-1274
  • Cheraghi, S. Chubchian, Sh. (2017). Identifying the factors inhibiting the development of entrepreneurship in the field of renewable energy in the agricultural sector, Iran. Two quarterly journals of entrepreneurial strategies in agriculture, 4(8); 23-31. (In Persion)
  • Cheraghi, S., Choobchian, S., & Abbasi, E. (2019). Factors Affecting Decision-Making Process in Renewable Energies Investment in Agricultural Sector, Iran. Journal of Agricultural Science and Technology21(7), 1673-1689
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information Systems Quarterly, 319–340
  • 2017. “The Future of Food and Agriculture – Trends and Challenges.” Rome. http://www.fao.org/3/a-i6583e.pdf
  • Ghorbanzadeh, M., Chobchian, Sh., & Farhadian, H. (2018). Analysis of obstacles to the development of renewable energy technology from the perspective of farmers. Rural Research Quarterly, (In Persian). 9 (2), 308-322. (In Persian). https://doi.org/10.22059/JRUR.2018.247759.1194
  • Gottfried, O., De Clercq, D., Blair, E., Weng, X., & Wang, C. (2018). SWOT-AHP-TOWS analysis of private investment behavior in the Chinese biogas sector. Journal of Cleaner Production184, 632-647.
  • Groenewold, G., de Bruijn, B., & Bilsborrow, R. (2012). Psychosocial factors of migration: Adaptation and application of the health belief model. International Migration, 50(6), 211-231.
  • Hanson, J. A., & Benedict, J. A. (2002). Use of the Health Belief Model to examine older adults' food-handling behaviors. Journal of Nutrition Education and Behavior, 34, S25-S30
  • Huang, X., Dai, S., & Xu, H. (2020). Predicting tourists' health risk preventative behaviour and travelling satisfaction in Tibet: Combining the theory of planned behavior and health belief model. Tourism Management Perspectives, 33, 100589
  • Jamalipour, M. Ghorbani, M. Kocheki, A. (2015). Estimation of greenhouse gas emission value of oilseeds in Iran. Quarterly Journal of Agricultural Economics and Development, 29 (3); 224-241. (In Persion).
  • Kahraman, C., Demirel, N. Ç., Demirel, T., & Ateş, N. Y. (2008). A SWOT-AHP application using fuzzy concept: e-government in Turkey. In Fuzzy multi-criteria decision making(pp. 85-117). Springer, Boston, MA.
  • Kamal, S. A., Shafiq, M., & Kakria, P. (2020). Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM). Technology in Society, 60, 101212.
  • Kangas, J., Kurttila, M., Kajanus, M., & Kangas, A. (2003). Evaluating the management strategies of a forestland estate—the SOS approach. Journal of environmental management69(4), 349-358
  • Karimpour, S. Shakeri Bostanabad, R. Ghasemi, A. (2019). The effect of renewable energy consumption on the economic growth of selected countries in the MENA region: the application of the panel vector autoregression model (Panel VAR). Iranian energy economy research journal, 8(32); 105-136. (In Persion)
  • Kaymaz, Ç. K., Birinci, S., & Kızılkan, Y. (2021). Sustainable development goals assessment of Erzurum province with SWOT-AHP analysis. Environment, Development and Sustainability, 1-27.
  • Kazemieh, F. Aydi, A. Raheli, H. (2021). xplanation of the factors affecting the possibility of using new energies in the agricultural sector from the point of view of the experts of the Jihad Agricultural Organization of Urmia couny. Environmental Science Quarterly, 19 (2); 225-240. (In Persion).
  • Lombardi, G. V., & Berni, R. (2021). Renewable energy in agriculture: farmers Willingness-to-Pay for a photovoltaic electric farm tractor. Journal of Cleaner Production, 127520.
  • Makki, A. A., & Mosly, I. (2020). Factors affecting public willingness to adopt renewable energy technologies: an exploratory analysis. Sustainability12(3), 845
  • Manzour, D. Nikan, L. (2012). Development of renewable energies in the country: obstacles and strategies. Iranian Energy Quarterly, 15 (3); 1-15. (In Persion)
  • Martinho, V. J. P. D. (2018). Interrelationships between renewable energy and agricultural economics: An overview. Energy Strategy Reviews22, 396-409
  • Migonpouri, M. Motavaseli, M. Migonpouri, E. (2013). Identifying factors affecting the technological innovation system in the field of renewable energy. Entrepreneurial Development Quarterly, 6(4); 169-184. (In Persion)
  • Mohammadi, M. Sabouri, M. S. (2015). Investigating the obstacles to the use of renewable energies in the agricultural sector of Iran: a case study of Semnan province. Iranian Energy Quarterly, 18 (3); 45-90. (In Persion)
  • Monavarian, A. Vatankhahmoghadam, S. Shahhosseini, M. A. Vaezi, S. K. Norollahi, Y. (2020). Designing a policy model for the development of renewable energies in Iran. Public Policy Quarterly, 6(2); 115-134. (In Persion)
  • Namor, Y., & Omani, A. (2021). Requirements, obstacles and the possibility of using renewable energy in the greenhouses of branched flowers (flowers and ornamental plants) in Khuzestan province. Renewable and New Energy Quarterly, 8 (2), 15-170. (In Persian). https://www.jrenew.ir/article_128365.html
  • Njoh, A. J. (2021). A systematic review of environmental determinants of renewable energy performance in Ethiopia: A PESTECH analysis. Renewable and Sustainable Energy Reviews147, 111243
  • Orji, R., Vassileva, J., & Mandryk, R. (2012). Towards an effective health interventions design: an extension of the health belief model. Online journal of public health informatics, 4(3)
  • Qudrat-Ullah, H., & Nevo, C. M. (2021). The impact of renewable energy consumption and environmental sustainability on economic growth in Africa. Energy Reports7, 3877-3886
  • Raheli, H., Zarifian, S., & Yazdanpanah, M. (2020). The power of the health belief model (HBM) to predict water demand management: A case study of farmers’ water conservation in Iran. Journal of Environmental Management, 263, 110388.
  • Razaghi, S. M. Rezaie, R. Shabanalifami, H. (2012). Analysis of the factors preventing the development of the use of renewable energy in the farming systems of Tafarsh county. Iranian Energy Quarterly, 1(3); 1-18. (In Persion)
  • Razzaghi Borkhani, F., & Mohammadi, Y. (2018). The Design of TOWS Strategic Model for Rural and Agricultural Tourism Development of Mazandaran Province. Iranian Journal of Agricultural Economics and Development Research49(3), 509-525
  • Rezaei, R., & Mianaji, S. (2019). Using the Health Belief Model to Understand Farmers’ Intentions to Engage in the On-Farm Food Safety Practices in Iran. Journal of Agricultural Science and Technology, 21(3), 561-574
  • Ridzuan, N. H. A. M., Marwan, N. F., Khalid, N., Ali, M. H., & Tseng, M. L. (2020). Effects of agriculture, renewable energy, and economic growth on carbon dioxide emissions: Evidence of the environmental Kuznets curve. Resources, Conservation and Recycling160, 104879.
  • Rincon, L., Puri, M., Kojakovic, A., & Maltsoglou, I. (2019). The contribution of sustainable bioenergy to renewable electricity generation in Turkey: Evidence based policy from an integrated energy and agriculture approach. Energy Policy130, 69-88
  • Rosso-Cerón, A. M., & Kafarov, V. (2015). Barriers to social acceptance of renewable energy systems in Colombia. Current Opinion in Chemical Engineering10, 103-110. https://doi.org/10.1016/j.coche.2015.08.003
  • Sahani, N. (2021). Application of hybrid SWOT-AHP-FuzzyAHP model for formulation and prioritization of ecotourism strategies in Western Himalaya, India. International Journal of Geoheritage and Parks9(3), 349-362
  • Saidmamatov, O., Matyakubov, U., Khodjaniyazov, E., Day, J., Ibadullaev, E., Chuponov, S., ... & Matyusupov, B. (2021). TOWS analysis for sustainable ecotourism development and state support during the pandemic: The Aral Sea region of Uzbekistan. Turyzm/ Tourism31(1), 47-56
  • Savari, M., & Amghani, M. S. (2022). SWOT-FAHP-TOWS analysis for adaptation strategies development among small-scale farmers in drought conditions. International Journal of Disaster Risk Reduction67, 102695
  • Savari, M., Damaneh, H. E., & Damaneh, H. E. (2022). Drought vulnerability assessment: Solution for risk alleviation and drought management among Iranian farmers. International Journal of Disaster Risk Reduction67, 102654.
  • Sharma, G. D., Shah, M. I., Shahzad, U., Jain, M., & Chopra, R. (2021). Exploring the nexus between agriculture and greenhouse gas emissions in BIMSTEC region: The role of renewable energy and human capital as moderators. Journal of Environmental Management297, 113316
  • Sindhu, S., Nehra, V., & Luthra, S. (2016). Identification and analysis of barriers in implementation of solar energy in Indian rural sector using integrated ISM and fuzzy MICMAC approach. Renewable and Sustainable Energy Reviews62, 70-88. https://doi.org/10.1016/j.rser.2016.04.033
  • Solangi, Y. A., Longsheng, C., & Shah, S. A. A. (2021). Assessing and overcoming the renewable energy barriers for sustainable development in Pakistan: An integrated AHP and fuzzy TOPSIS approach. Renewable Energy173, 209-222. https://doi.org/10.1016/j.renene.2021.03.141
  • Sung, H. Y., Hwang, G. J., Chen, C. Y., & Liu, W. X. (2019). A contextual learning model for developing interactive e-books to improve students’ performances of learning the Analects of Confucius. Interactive Learning Environments, 1-14
  • Tseng, M. L., Ardaniah, V., Sujanto, R. Y., Fujii, M., & Lim, M. K. (2021). Multicriteria assessment of renewable energy sources under uncertainty: Barriers to adoption. Technological Forecasting and Social Change171, 120937. https://doi.org/10.1016/j.techfore.2021.120937
  • Tuzmen, S. (2011, March). A Multi-Criteria Factor Evaluation Model For Gas Station Site Selection. In 2nd International Conference on Business and Economic Research (2nd ICBER 2011) Proceeding(No. 2011-164). Conference Master Resources
  • Vassallo, M., Saba, A., Arvola, A., Dean, M., Messina, F., Winkelmann, M., ... & Shepherd, R. (2009). Willingness to use functional breads. Applying the Health Belief Model across four European countries. Appetite, 52(2), 452-460.
  • Wall, W. P., Khalid, B., Urbański, M., & Kot, M. (2021). Factors influencing consumer’s adoption of renewable energy. Energies14(17), 5420
  • Yazdanpanah, M., Komendantova, N., & Zobeidi, T. (2021). Explaining intention to apply renewable energy in agriculture: the case of broiler farms in Southwest Iran. International Journal of Green Energy, 1-11
  • Zobeidi, T., Komendantova, N., & Yazdanpanah, M. (2022). Social media as a driver of the use of renewable energy: The perceptions of instagram users in Iran. Energy Policy161, 112721. https://doi.org/10.1016/j.enpol.2021.112721