Investigating Factors Affecting Farmer’s Intention of Adopting Renewable Energy Technology in Larestan County

Document Type : Research Paper

Authors

1 Former M.Sc. Student of Agricultural Extension & Education, Department of Extension and Education, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran

2 Assistant Professor, Department of Extension and Education, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran

3 Ph.D. in Agricultural Extension and Education, Department of Extension and Education, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran

Abstract

Considering the importance of promoting and developing renewable energy technologies in today's world, the purpose of this study was to Investigating factors affecting farmer’s intention of adopting renewable energy technology in Larestan County of Iran. In order to achieve this goal, at first, it has been attempting to extract the factors affecting farmer’s intention of adopting by browsing library sources and documents. To determine the validity of the questionnaire, panel of experts of the department of agricultural extension and education of Tarbiat Modares University was used further more to access reliability of the research tool, Cronbach’s alfa test was used. Then, for different parts of completed questionnaires, Cronbach's alpha coefficient was calculated by using SPSS-22 software and showed that the questionnaire has a good reliability. A survey method was used to conduct this research. This research  in terms of purpose was applied research type, in terms of controlling variables was non- experimental and in term of data analysis was descriptive- correlative based on structural equations modeling. Statistical population included 2501 farmers of Larestan. Stratified random sampling method was used for sampling and sample size was determined by considering Kerjcie and Morgan table (n=331). The results of the research showed that among studied variables, attitude, perceived usefulness, self-efficiency, technology trust, ease of use, social effect, awareness and facilitating conditions respectively had the most influence on farmer’s intention of adopting renewable energy technologies and the level of intention of adopting of 83% of the farmers was in good condition.  

Keywords


  1. Abdullah, F., & Ward, R. (2016). Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors. Computers in Human Behavior, 56, 238-256.‏
  2. Ahmed, E., & Ward, R. (2016). Analysis of factors influencing acceptance of personal, academic and professional development e-portfolios. Computers in Human Behaviour, 63, 152-161.
  3. Akar, E., & Mardikyan, S. (2014). Analyzing factors affecting users' behavior intention to use social media: Twitter case. International Journal of Business and Social Science5(11). 85-95.
  4. Alam, S. S., & Rashid, M. (2012). Intention to use renewable energy: mediating role of attitude. Energy Research Journal, 3(2), 37-44.‏
  5. Alam, S. S., Hashim, N. H. N., Rashid, M., Omar, N. A., Ahsan, N., & Ismail, M. D. (2014). Small-scale household’s renewable energy usage intention: Theoretical development and empirical settings. Renewable Energy, 68, 255-263.
  6. Asadi, S., Nilashi, M., Husin, A. R. C., & Yadegaridehkordi, E.(2016). Customers perspectives on adoption of cloud computing in banking sector. Information Technology and Management, 1-26.
  7. Baptista, G., & Oliveira, T. (2015). Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators. Computers in Human Behavior, 50, 418-430.
  8. Beheshti Tabar, I., Keyhani, A., & Rafiee, S.(2010). Energy balance in Iran's agronomy (1990–2006). Renewable and Sustainable Energy Reviews, 14(2), 849-855.
  9. Belanche, D., Casaló, L. V., & Flavián, C. (2012). Integrating trust and personal values into the Technology Acceptance Model: The case of e-government services adoption. Cuadernos de Economía y Dirección de la Empresa, 15(4), 192-204.‏

10. Chang, S. E., Liu, A. Y., & Shen, W. C. (2017). User trust in social networking services: A comparison of Facebook and LinkedIn. Computers in Human Behavior69, 207-217.‏

11. Cheng, Y. M. (2011). Antecedents and consequences of e‐learning acceptance. Information Systems Journal, 21(3), 269-299.‏ Retrieved from https://library3.hud.ac. UK/summon/.

12. Davis, F.D. (1986). A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results, Massachusetts Institute of Technology, Cambridge, MA.

13. Davis, F.D. (1989), “Perceived usefulness, perceived ease of use, and user acceptance of information technology”, MIS Quarterly, 13(3), 319-340.

14. De Smet, C., Bourgonjon, J., De Wever, B., Schellens, T., & Valcke, M. (2012). Researching instructional use and the technology acceptation of learning management systems by secondary school teachers. Computers & Education, 58(2), 688-696.

15. Doszhanov, A., & Ahmad, Z. A. (2015). Customers’ intention to use green products: the impact of green brand dimensions and green perceived value. In SHS Web of Conferences, 18, 16 pages.

16. Fami, H. S., Ghasemi, J., Malekipoor, R., Rashidi, P., Nazari, S., & Mirzaee, A. (2010). Renewable Energy Use in Smallholder Farming Systems: A Case Study in Tafresh Township of Iran. Sustainability, 2(3), 702-716.

17. Fars Regional Electricity Company. (2017). Deputy Director of Planning and Research (Office of Communications Technology and Information Management). Retrieved July 28, 2018, from http: // www. Frec. Co.ir.

18. Fathema, N., Shannon, D., & Ross, M. (2015). Expanding the technology acceptance model (TAM) to Examine Faculty Use of Learning Management Systems (LMSs) In Higher Education Institutions. Journal of Online Learning & Teaching, 11(2), 210-232.

19. Feng, H. Y. (2012). Key factors influencing user’s intentions of adopting renewable energy technologies. Academic Research International, 2(2), 156.‏

20. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.

21. Heidari, H., Katircioglu, S. T., & Saeidpour, L. (2012). Natural gas consumption and economic growth: Are we ready to natural gas price liberalization in Iran?. Energy policy, 63, 638-645.

22. Hosseini, S. S., Nazari, M. R., & Araghinejad, Sh. (2013).Investigating the effect of climate change on agricultural sector with emphasis on the role of adaptation strategies in this section. Iranian Agricultural Economics and Development Research, 44(1), 1-16.(In Farsi)

23. Ifenthaler, D., & Schweinbenz, V. (2013). The acceptance of Tablet-PCs in classroom instruction: The teachers’ perspectives. Computers in Human Behavior, 29(3), 525-534.

24. International Energy Agency. (2017). Retrieved August 1, 2018, fromhttps://www.iea.org

25. Ismaili, A., Fatehi, F. (2012). Investigating the relationship between energy consumption, income and emissions of carbon dioxide in Iran, Iranian Agricultural Economics and Development Research, 43(2), 175- 181.(In Farsi)

26. Jebli, M. B., & Youssef, S. B. (2017). The role of renewable energy and agriculture in reducing CO2 emissions: Evidence for North Africa countries. Ecological indicators, 74, 295-301.

27. John, S. P. (2013). Influence of computer self-efficacy on information technology adoption. International Journal of Information Technology, 19(1), 1-13.‏

28. Kalantari, Kh. (2013). Structural Equation Modeling in Socio-Economic Research (with LISREL and SIMPLIS), (2th ed). Tehran: Culture Saba Publishing House. (In Farsi)

29. Karimi, E., Sedighi, H., & Babaei, A. R. (2011). Considering the barrieres to organic farming progress from the perspective of experts from the Ministry of Jihad-e-Agriculture, Iranian Agricultural Economics and Development Research, 42(2), 231-242.(In Farsi)

30. Keshavarz, M., Moidy, M. (2016). Challenges of Agricultural extension System in Adaptation to Climate Change: The Viewpoint of Agriculture Experts in Fars Province. Iranian Agricultural Economics and Development Research, 47(2), 453-466.(In Farsi)

31. Khalilzadeh, J., Ozturk, A. B., & Bilgihan, A. (2017). Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry. Computers in Human Behavior, 70, 460-474.

32. Khan, M. T. I., Ali, Q., & Ashfaq, M. (2017). The nexus between greenhouse gas emission, electricity production, renewable energy and agriculture in Pakistan. Renewable Energy118, 437-451.

33. Kim, H., Park, E., Kwon, S. J., Ohm, J. Y., & Chang, H. J. (2014). An integrated adoption model of solar energy technologies in South Korea. Renewable Energy, 66, 523-531.

34. Koç, T., Turan, A. H., & Okursoy, A. (2016).Acceptance and usage of a mobile information system in higher education: An empirical study with structural equation modeling. The International Journal of Management Education, 14(3), 286-300.

35. Krejcie, R.V., & Morgan, D.W., 1970, How to Randomize, Research Division, National Education Association. 163.

36. Lallmahomed, M. Z., Lallmahomed, N., & Lallmahomed, G. M. (2017). Factors influencing the adoption of e-Government Services in Mauritius. Telematics and Informatics, 34(4), 57-72.

37. Menozzi, D., Fioravanzi, M., & Donati, M. (2015). Farmer’s motivation to adopt sustainable agricultural practices. Bio-based and Applied Economics, 4(2), 125-147.‏

38. Mojavaryan, S. M., Ahmadi Kaligi, S., & Amin Ravan, M. (2015). Application of Riccardin Method in Investigating the Impact of Climate Change on Agricultural Land Rents, Iranian Agricultural Economics and Development Research, 46(3), 481- 491.(In Farsi)

39. Montazeri, M., Ebrahimi, A. R., Ahmadi, p., & Rahnema, A. (2014). Investigating the Factors Affecting Intent to Buy in E-Commerce. Business Management, 6(2), 207- 226.

40. Mousavi, S. F. & Pierre Damagh, M., (2015), Renewable energy development from the perspective of international law, Energy Law Studies, 2 (1), 257- 287.

41. National Center for the Distribution of Oil Products of Iran. (2015). Statistics. Retrieved June 27, 2016, from https://www.niopdc.ir.

42. Nowruzi, A., & Shahbazi, A. (2010). The role of extension the development of organic agriculture (bio) in the country's villages. Rural Development, 2(2), 1-22. (In Farsi)

43. Rezaei Dolatabadi, H; Khazaei Poul, J  & Shaabani Naft Chali, J. (2012). Investigating the tendency to electronic purchasing based on the development of the technology acceptance model. Journal of Research, New Marketing Research, Second Year,  93-110. (In Farsi)

44. Tofigh, A. A., & Abedian, M. (2016). Analysis of energy status in Iran for designing sustainable energy roadmap. Renewable and Sustainable Energy Reviews, 57, 1296-1306.‏

45. Yazdan Panah Derv, K; Pour Rostmi, N; Yousefi, R &  Hossein Zadeh, M. (2017). A Comparative Study of Enhancing Energy Security Using Renewable Energies: In a geopolitical comparison between Iran and Japan with a strategic management model, Human Geography Research, 49 (3), 713- 731. (In Farsi)

46. Yazdan, G. F., Behzad, V., & Shiva, M. (2012). Energy consumption in Iran: past trends and future directions. Procedia-Social and Behavioral Sciences, 62, 12-17.

47. Yazdanpanah, M., Komendantova, N., & Ardestani, R. S. (2015). Governance of energy transition in Iran: Investigating public acceptance and willingness to use renewable energy sources through socio-psychological model. Renewable and Sustainable Energy Reviews, 45, 565-573.