Explaining intention to apply renewable energy in agriculture: the case of broiler farms in Southwest Iran

References

• Aini, M. S., and L. M. Goh Mang. 2013. Factors Affecting the Willingness to Pay for Renewable Energy amongst Eastern Malaysian Households: A Case Study. Pertanika Journal of Social Sciences & Humanities 21:1.
   Google Scholar
• Ajzen, I. 1985. From intentions to actions: A theory of planned behavior. In Action control: From Cognition to Behavior, 11–39. Berlin, Heidelberg: Springer.
   Google Scholar
• Akella, A. K., R. P. Saini, and M. P. Sharma. 2009. Social, economical and environmental impacts of renewable energy systems. Renewable Energy 34 (2):390–96. doi:https://doi.org/10.1016/j.renene.2008.05.002.
   Web of Science ®Google Scholar
• Alam, S. S., N. H. N. Hashim, M. Rashid, N. A. Omar, N. Ahsan, and M. D. Ismail. 2014. Small-scale households renewable energy usage intention: Theoretical development and empirical settings. Renewable Energy 68:255–63.
   Web of Science ®Google Scholar
• Arbuckle, J. J., G. Morton, L. W., and J. Hobbs. 2015. Understanding farmer perspectives on climate change adaptation and mitigation: The roles of trust in sources of climate information, climate change beliefs, and perceived risk. Environment and Behavior 47 (2):205–34.
   PubMed Web of Science ®Google Scholar
• Aryal, J. P., T. B. Sapkota, R. Khurana, and A. Khatri-Chhetri. 2020. Climate change mitigation options among farmers in South Asia. Environment, Development and Sustainability 22:3267–3289.
   Google Scholar
• Bakhtiyari, Z., M. Yazdanpanah, M. Forouzani, and N. Kazemi. 2017. Intention of agricultural professionals toward biofuels in Iran: Implications for energy security, society, and policy. Renewable and Sustainable Energy Reviews 69:341–49.
   Web of Science ®Google Scholar
• Bandura, A. 1977. Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review 84 (2):191.
   PubMed Web of Science ®Google Scholar
• Bang, H. K., A. E. Ellinger, J. Hadjimarcou, and P. A. Traichal. 2000. Consumer concern, knowledge, belief, and attitude toward renewable energy: An application of the reasoned action theory. Psychology & Marketing 17 (6):449–68.
   Web of Science ®Google Scholar
• Beckman, J., and I. M. Xiarchos. 2013. Why are Californian farmers adopting more (and larger) renewable energy operations? Renewable Energy 55:322–30.
   Web of Science ®Google Scholar
• Bhattacharya, M., S. R. Paramati, I. Ozturk, and S. Bhattacharya. 2016. The effect of renewable energy consumption on economic growth: Evidence from top 38 countries. Applied Energy 162:733–41.
   Web of Science ®Google Scholar
• Boazar, M., A. Abdeshahi, and M. Yazdanpanah. 2020. Changing rice cropping patterns among farmers as a preventive policy to protect water resources. Journal of Environmental Planning and Management 63 (14):2484–500.
   Web of Science ®Google Scholar
• Bozorgparvar, E., M. Yazdanpanah, M. Forouzani, and B. Khosravipour. 2018. Cleaner and greener livestock production: Appraising producers’ perceptions regarding renewable energy in Iran. Journal of Cleaner Production 203:769–76.
   Web of Science ®Google Scholar
• Buglar, M. E., K. M. White, and N. G. Robinson. 2010. The role of self-efficacy in dental patients’ brushing and flossing: Testing an extended Health Belief Model. Patient Education and Counseling 78 (2):269–72.
   PubMed Web of Science ®Google Scholar
• Carpenter, C. J. 2010. A meta-analysis of the effectiveness of health belief model variables in predicting behavior. Health Communication 25 (8):661–69.
   PubMed Web of Science ®Google Scholar
• Chen, M. F. 2016. Extending the theory of planned behavior model to explain people’s energy savings and carbon reduction behavioral intentions to mitigate climate change in Taiwan–moral obligation matters. Journal of Cleaner Production 112:1746–53.
   Web of Science ®Google Scholar
• Cismaru, M., R. Cismaru, T. Ono, and K. Nelson. 2011. “Act on climate change”: An application of protection motivation theory. Social Marketing Quarterly 17 (3):62–84.
   Google Scholar
• Corner, A., D. Venables, A. Spence, W. Poortinga, C. Demski, and N. Pidgeon. 2011. Nuclear power, climate change and energy security: Exploring British public attitudes. Energy Policy 39 (9):4823–33.
   Web of Science ®Google Scholar
• Davis, F. D. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13 (2): 319–40.
   Web of Science ®Google Scholar
• Davis, S. J., N. S. Lewis, M. Shaner, S. Aggarwal, D. Arent, I. L. Azevedo, S. M. Benson, T. Bradley, J. Brouwer, Y. M. Chiang, et al. 2018. Net-zero emissions energy systems. Science 360.(6396).
   Google Scholar
• De Fraiture, C., M. Giordano, and Y. Liao. 2008. Biofuels and implications for agricultural water use: Blue impacts of green energy. Water Policy 10:67–81.
   Web of Science ®Google Scholar
• De Groote, O., G. Pepermans, and F. H. Verboven. 2016. Heterogeneity in the adoption of photovoltaic systems in Flanders. Energy Economics 59:45–57.
   Web of Science ®Google Scholar
• Evans, S. 2017. Solar, wind and nuclear have ‘amazingly low’ carbon footprints, study finds. CarbonBrief 8:12.
   Google Scholar
• Fathi, F., M. Bakhshoudeh, and M. Zibaei. 2016. Energy carrier prices and energy efficiency; Case study of the Iranian meat market. Renewable Energy and Energy Efficiency Organization (Ministry of Energy).
   Google Scholar
• Fornara, F., P. Pattitoni, M. Mura, and E. Strazzera. 2016. Predicting intention to improve household energy efficiency: The role of value-belief-norm theory, normative and informational influence, and specific attitude. Journal of Environmental Psychology 45:1–10.
   Web of Science ®Google Scholar
• Fornell, C., and D. F. Larcker, (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics.
   Google Scholar
• Ge, J., L. A. Sutherland, J. G. Polhill, K. Matthews, D. Miller, and D. Wardell-Johnson. 2017. Exploring factors affecting on-farm renewable energy adoption in Scotland using large-scale microdata. Energy Policy 107:548–60.
   Web of Science ®Google Scholar
• Gezahegn, T. W., G. Gebregiorgis, T. Gebrehiwet, and K. Tesfamariam. 2018. Adoption of renewable energy technologies in rural Tigray, Ethiopia: An analysis of the impact of cooperatives. Energy Policy 114:108–13.
   Web of Science ®Google Scholar
• Green, E. C., and E. Murphy. 2014. Health belief model. In The Wiley Blackwell encyclopedia of health, illness, behavior, and society, 766–69.
   Google Scholar
• Guta, D. D. 2018. Determinants of household adoption of solar energy technology in rural Ethiopia. Journal of Cleaner Production 204:193–204.
   Web of Science ®Google Scholar
• Hair, J. F. J., W. C. Black, B. J. Babin, and R. E. Anderson. 2010. Multivariate Data Analysis, seventh ed. Upper Saddle River, NJ: Prentice Hall.
   Google Scholar
• Halder, P., J. Pietarinen, S. Havu-Nuutinen, S. Pöllänen, and P. Pelkonen. 2016. The Theory of Planned Behavior model and students’ intentions to use bioenergy: A cross-cultural perspective. Renewable Energy 89:627–35.
   Web of Science ®Google Scholar
• Harrison, J. A., P. D. Mullen, and L. W. Green. 1992. A meta-analysis of studies of the health belief model with adults. Health Education Research 7 (1):107–16.
   PubMed Web of Science ®Google Scholar
• Henry, J. W., and R. W. Stone. 1994. A structural equation model of end-user satisfaction with a computer-based medical information system. Information Resources Management Journal (IRMJ) 7 (3):21–33.
   Google Scholar
• Hua, J., and H. G. Shiu. 2018. Sustainable development of renewable energy on Wangan Island, Taiwan. Utilities Policy 55:200–08.
   Web of Science ®Google Scholar
• Huijts, N. M., E. J. Molin, and L. Steg. 2012. Psychological factors influencing sustainable energy technology acceptance: A review-based comprehensive framework. Renewable and Sustainable Energy Reviews 16 (1):525–31.
   Web of Science ®Google Scholar
• Jacobson, M. Z., and M. A. Delucchi. 2011. Providing all global energy with wind, water, and solar power, Part I: Technologies, energy resources, quantities and areas of infrastructure, and materials. Energy Policy 39 (3):1154–69.
   Web of Science ®Google Scholar
• Janz, N. K., and M. H. Becker. 1984. The health belief model: A decade later. Health Education Quarterly 11 (1):1–47.
   PubMedGoogle Scholar
• Jayanti, R. K., and A. C. Burns. 1998. The antecedents of preventive health care behavior: An empirical study. Journal of the Academy of Marketing Science 26 (1):6–15.
   Web of Science ®Google Scholar
• Jörreskog, K. G., and D. Sörbom. 1996. LISREL 8: User’s reference guide. USA: Scientific Software International.
   Google Scholar
• Kardooni, R., S. B. Yusoff, and F. B. Kari. 2016. Renewable energy technology acceptance in Peninsular Malaysia. Energy Policy 88:1–10.
   Web of Science ®Google Scholar
• Khanna, N., D. Fridley, N. Zhou, N. Karali, J. Zhang, and W. Feng. 2019. Energy and CO2 implications of decarbonization strategies for China beyond efficiency: Modeling 2050 maximum renewable resources and accelerated electrification impacts. Applied Energy 242:12–26.
   Web of Science ®Google Scholar
• Khoshnevisan, S., A. Anvari, R. Hajian, and M. Riahi (2013). The study and comparative analysis of energy consumption in two poultries in two various climates of Iran. 3rd National Conference of Fuel, Energy & Environment; September. Karaj, Iran.
   Google Scholar
• Kilic, I. 2016. Analysis of the energy efficiency of poultry houses in the Bursa region of Turkey. Journal of Applied Animal Research 44 (1):165–72.
   Web of Science ®Google Scholar
• Komendantova, N., M. Yazdanpanah, and R. Shafiei. 2018. Studying young people’views on deployment of renewable energy sources in Iran through the lenses of Social Cognitive Theory. AIMS Energy 6 (2):216–28.
   Web of Science ®Google Scholar
• Lin, C. Y., and D. Syrgabayeva. 2016. Mechanism of environmental concern on intention to pay more for renewable energy: Application to a developing country. Asia Pacific Management Review 21 (3):125–34.
   Web of Science ®Google Scholar
• Liu, W., C. Wang, and A. P. Mol. 2013. Rural public acceptance of renewable energy deployment: The case of Shandong in China. Applied Energy 102:1187–96.
   Web of Science ®Google Scholar
• Mahler, R. L., and M. E. Barber. 2017. University student perceptions of the current and future role of non-carbon emitting energy sources in the world. International Journal of Energy Production and Management 2.3:277–87.
   Google Scholar
• Martinho, V. J. P. D. 2018. Interrelationships between renewable energy and agricultural economics: An overview. Energy Strategy Reviews 22:396–409.
   Web of Science ®Google Scholar
• McCarl, B. A. 2010. Analysis of climate change implications for agriculture and forestry: An interdisciplinary effort. Climatic Change 100 (1):119.
   Web of Science ®Google Scholar
• Moerkerken, A., J. Blasch, P. Van Beukering, and E. Van Well. 2020. A new approach to explain farmers’ adoption of climate change mitigation measures. Climatic Change 159 (1):141–61.
   Web of Science ®Google Scholar
• Omid, M., M. Khanali, and S. Zand. 2018. Energy analysis and greenhouse gas emission in broiler farms: A case study in Alborz province, Iran. Agricultural Engineering International: CIGR Journal 19 (4):83–90.
   Google Scholar
• Orji, R., J. Vassileva, and R. Mandryk. 2012. Towards an effective health interventions design: An extension of the health belief model. Online Journal of Public Health Informatics 4:3.
   Google Scholar
• Park, E., and J. Y. Ohm. 2014. Factors influencing the public intention to use renewable energy technologies in South Korea: Effects of the Fukushima nuclear accident. Energy Policy 65:198–211.
   Web of Science ®Google Scholar
• Renewable Energy and Energy Efficiency Organization (SATBA). (2019). Ministry of Energy Renewable Energy and Energy Efficiency Organization. http://www.satba.gov.ir.
   Google Scholar
• Renewable Energy and Energy Efficiency Organization (SATBA). 2021. Ministry of Energy Renewable Energy and Energy Efficiency Organization. Report of non-governmental companies licensed to build renewable energy power plants.
   Google Scholar
• Resources, W. E. (2016). 24th edition of the World Energy Resources. report.https://www.worldenergy.org/assets/images/imported/2016/10/World-Energy-Resources-Full-report-2016.10.03.pdf
   Google Scholar
• Rezaei, R., and M. Ghofranfarid. 2018. Rural households’ renewable energy usage intention in Iran: Extending the unified theory of acceptance and use of technology. Renewable Energy 122:382–91.
   Web of Science ®Google Scholar
• Rosenstock, I. M. 1974. The health belief model and preventive health behavior. Health Education Monographs 2 (4):354–86.
   Google Scholar
• Rosenstock, I. M., V. J. Strecher, and M. H. Becker. 1988. Social learning theory and the health belief model. Health Education Quarterly 15 (2):175–83.
   PubMedGoogle Scholar
• Rosso-Cerón, A. M., and V. Kafarov. 2015. Barriers to social acceptance of renewable energy systems in Colombia. Current Opinion in Chemical Engineering 10:103–10.
   Web of Science ®Google Scholar
• Sadrnia, H., M. Khojastehpour, H. Aghel, and O. A. Saiedi Rashk. 2017. Analysis of different inputs share and determination of energy Indices in broilers production in Mashhad city. Journal of Agricultural Machinery 7 (1):285–97.
   Google Scholar
• Sardianou, E., and P. Genoudi. 2013. Which factors affect the willingness of consumers to adopt renewable energies? Renewable Energy 57:1–4.
   Web of Science ®Google Scholar
• Schwartz, S. H. 1977. Normative influences on altruism. In Advances in experimental social psychology, 10: 221–79. Academic Press, University of Wisconsin Madison. Wisconsin, Elsevier . https://doi.org/https://doi.org/10.1016/S0065-2601(08)60358-5
   Google Scholar
• Shahsavari, A., F. T. Yazdi, and H. T. Yazdi. 2019. Potential of solar energy in Iran for carbon dioxide mitigation. International Journal of Environmental Science and Technology 16 (1):507–24.
   Web of Science ®Google Scholar
• Sheelanere, P., and S. S. Kulshreshtha. 2013. Sustainable biofuel production: Opportunities for rural development. International Journal of Environment and Resource 2.1:1–13.
   Google Scholar
• Şimşekoğlu, Ö., and T. Lajunen. 2008. Social psychology of seat belt use: A comparison of theory of planned behavior and health belief model. Transportation Research Part F. Traffic Psychology and Behaviour 11 (3):181–91.
   Web of Science ®Google Scholar
• Statistics Center of Iran. (2018). Census results of broiler farms in 2018.
   Google Scholar
• Stern, P. C., T. Dietz, T. Abel, G. A. Guagnano, and L. Kalof. 1999. A value-belief-norm theory of support for social movements: The case of environmentalism. Human Ecology Review 6 (2): 81–97.
   Google Scholar
• Straub, C. L., and J. E. Leahy. 2014. Application of a Modified Health Belief Model to the Pro‐Environmental Behavior of Private Well Water Testing. JAWRA. Journal of the American Water Resources Association 50 (6):1515–26.
   Web of Science ®Google Scholar
• Strecher, V. J., and I. M. Rosenstock. 1997. The health belief model. Cambridge Handbook of Psychology, Health and Medicine 113:117.
   Google Scholar
• Tajeri Moghadam, M., H. Raheli, S. Zarifian, and M. Yazdanpanah. 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.
   PubMed Web of Science ®Google Scholar
• UNFCCC. (2015). Synthesis report on the aggregate effect of the intended nationally determined United Nations, The Paris Agreement, December 2015; http://unfccc.int/files/essential_background/convention/application/pdf/english_paris_agreement.pdf
   Google Scholar
• Van Alphen, K., Q. V. V. tot Voorst, M. P. Hekkert, and R. E. Smits. 2007. Societal acceptance of carbon capture and storage technologies. Energy Policy 35 (8):4368–80.
   Web of Science ®Google Scholar
• van der Werff, E., and L. Steg. 2015. One model to predict them all: Predicting energy behaviours with the norm activation model. Energy Research & Social Science 6:8–14.
   Web of Science ®Google Scholar
• Vassallo, M., A. Saba, A. Arvola, M. Dean, F. Messina, M. Winkelmann, … R. Shepherd. 2009. Willingness to use functional breads. Applying the Health Belief Model across four European countries. Appetite 52 (2):452–60.
   PubMed Web of Science ®Google Scholar
• Waheed, R., D. Chang, S. Sarwar, and W. Chen. 2018. Forest, agriculture, renewable energy, and CO2 emission. Journal of Cleaner Production 172:4231–38.
   Web of Science ®Google Scholar
• Welton, S. 2018. Electricity Markets and the Social Project of Decarbonization. Columbia Law Review 118 (4):1067–138.
   Web of Science ®Google Scholar
• Wojuola, R. N., and B. P. Alant. 2017. Public perceptions about renewable energy technologies in Nigeria. African Journal of Science, Technology, Innovation and Development 9 (4):399–409.
   Web of Science ®Google Scholar
• Xenias, D., and L. Whitmarsh. 2018. Carbon capture and storage (CCS) experts’ attitudes to and experience with public engagement. International Journal of Greenhouse Gas Control 78:103–16.
   Web of Science ®Google Scholar
• Yazdanpanah, M., N. Komendantova, Z. N. Shirazi, and J. Linnerooth-Bayer. 2015. Green or in between? Examining youth perceptions of renewable energy in Iran. Energy Research & Social Science 8:78–85.
   Web of Science ®Google Scholar
• Yazdanpanah-dero, Q., N. Porrostami, R. Yousfi, and M. R. Hosseinzade. 2017. A comparative study of energy security to promote the use of renewable energy; In the geopolitical Iran and Japan. Human Geography Research 49 (3):713–31.
   Google Scholar
• Zhang, L., J. Ruiz-Menjivar, B. Luo, Z. Liang, and M. E. Swisher. 2020. Predicting climate change mitigation and adaptation behaviors in agricultural production: A comparison of the theory of planned behavior and the Value-Belief-Norm Theory. Journal of Environmental Psychology 68:101408.
   Web of Science ®Google Scholar
• Zimmerman, R. S., and D. Vernberg. 1994. Models of preventive health behavior: Comparison, critique, and meta-analysis. Advances in Medical Sociology 4:45–67.
   Google Scholar