News

zarafshani, K. (2018). Determining the predictors of adoption continuance among Canola farming in Kermanshah Townships. , 48(4), 633-646. doi: 10.22059/ijaedr.2018.65238
kiumars zarafshani. "Determining the predictors of adoption continuance among Canola farming in Kermanshah Townships". , 48, 4, 2018, 633-646. doi: 10.22059/ijaedr.2018.65238
zarafshani, K. (2018). 'Determining the predictors of adoption continuance among Canola farming in Kermanshah Townships', , 48(4), pp. 633-646. doi: 10.22059/ijaedr.2018.65238
zarafshani, K. Determining the predictors of adoption continuance among Canola farming in Kermanshah Townships. , 2018; 48(4): 633-646. doi: 10.22059/ijaedr.2018.65238

Determining the predictors of adoption continuance among Canola farming in Kermanshah Townships

تحقیقات اقتصاد و توسعه کشاورزی ایران
Article 8, Volume 48, Issue 4, March 2018, Pages 633-646    PDF (572.38 K)
Document Type: Research Paper
DOI: 10.22059/ijaedr.2018.65238
Author
kiumars zarafshani*
Abstract
Oilseed, after cereals, is considered the second food supply in the world. In Iran, oilseed is a major source of agricultural production. Although there have been major accomplishments in oilseed production in Iran, this country is still dependent on oilseed imports. Moreover, canola adoption among farmers in Kermanshah is not in an acceptable condition and the adoption rate has been rather slower than predicted. Therefore, the purpose of this survey study was to determine the predictors of canola adoption continuance among farmers in Kermanshah. The population in this study comprised of farmers in Kermanshah Townships. Farmers were categorized into adopters, non-adopters, and discontinuance after adoption. Using Bartlet et al. sampling table, a sample of 106 farmers including adopters, non-adopters and discontinuers participated in this study. A researcher-made questionnaire was used to collect data. Result of discriminate analysis revealed that extension agent contact, interest in canola cultivation, participation in extension classes, and agricultural advising services discriminated 69.6% of farmers falling into adopters and discontinuers after adoption. The result of this study has implications for agricultural policy makers in developing canola production in Kermanshah province.
Keywords
adoption; Canola; adopters; non-adopters and abandoners
References
  1. Adeogun, O. A., Ajana, A. M., Ayinla, O. A., Yarhere, M. T., & Adeogun, M. O. (2008). Application of legit model in adoption decision: A study of hybrid claries Lagos state Nigeria. Amer.  Journal of Agriculture and Environmental Sciences, 4(4), 468-472.
  2. Aghel, H., & Zoghi, M. (2004). Assessment of Canola farmers attitude and factors influencing on the adoption and development of canola in Khorasan Province, Agricultural Jihad Organization of Mashhad, extension management and public participation. (In Farsi).
  3. Agricultural Jihad Statistics, (2012), AgriculturalJihad Organization of Kermanshah Province.
  4. Amaza, P., Kwacha, A., & Kamara, A. (2000). Farmers Perceptions, Profitability, and Factors Influencing the Adoption of Improved Maize Varieties in the Guinea Savannas of Nigeria. Journal of Research to Nourish Africa.
  5. Asiabaka, C., & Owens, M. (2002). Determinants of Adoptive Behaviors of Rural Farmers in Nigeria. Proceeding of the 18th Annual Conference. Durban, South Africa.
  6. Bagheri, A., & Malekmohammadi, I. (2005). Adoption behavior of sprinkler irrigation among farmers in Ardabil province, Iranian Journal of Agricultural Sciences, 36(6): 1479-1488. (In Farsi).
  7. Balunk, A. Rozelle, S. Lohmar, B. & Wang. H. (2007). Water saving technology and saving water in China. Agricultural Water Management, 87: 139-150.
  8. Barasa, R.D., (2001). The Influence of Technology Characteristics and Social- Economic Factors on Adoption of Agroforestry Technologies: the case of southern Malawi. Student Theses, Department of Economics, Chancellor College, University of Malawi. Available at:http://www.economics.chanco..
  9. Bartlett, J. E., Kotrlik, J. W., & Higgins, C. C. (2001). Organizational research: Determining appropriate sample size in survey research. Information Technology, Learning, and Performance Journal, 19, 43- 50.

10. Bazargan, A., Sarmad, Z., & Hedjazi, A. (2008). Research Methods in Behavioral Sciences. (15th ed.) Teharn: Agah Pub. (In Farsi)

11. Black, W. (1983). Discontinuance and diffusion: Examination of the post adoption decision process. Advances in Consumer Research, 10, 356-361.

12. Borg, W. R., & Gall, M. D. (1989). Educational research. New York: Longman.

13. Cabrera, V. E., Leston, D. & Podesta, G. (2006). The value of climate information when farm programs matter. Agricultural Systems, 87, 351-369.

14. Doss, C., & Morris, M. (2001). How dose Gender Affect the Adoption of Agricultural Innovations? The Case of Improved Maize Technology in Ghana. Journal of Agricultural Economics, 25 (27-36).

15. Greiner, R., Patterson, L., & Miller, O. (2009). Agricultural Systems. Journal of Agricultural Systems, 99 (86-104).

16. Hosseinzad, J., Khayat, A., & Havati, B.  (2008). Study of Effective Economic and Managerial Factors in Willing to Investment on Sprinkler Irrigation Systems (Case study: Boukan), Journal of Agricultural Development and Economy, 18 (4): 29-37. (In Farsi).

17. Jagtap, S. S., Jones, J. W., Hildebrand, P., Leston, D., Obrien, J. J., Podesta, G., & Zazueta, F. (2002). Responding to stakeholders demands for climate information: from research to applications in & Florida. Agricultural Systems, 74, 415-430.

18. Jahannama, F. (2001). Effective Economic-social factors on pressurized irritation systems adoption, Journal of development and agricultural economy, 9 (36), 237-261.

19. Kalantari, K.H., & Mirgohar, M. (2003). Investigating factors affecting the technological knowledge level and its application and their role in irrigated wheat yield, Journal of development and agricultural economy, winter; 10(4(40)); 103-126. (In Farsi).

20. Karami, E. ,Rezaei  Moghadam, K., Ahmadvan. M., & Lari, M.B.(2006) adoption  of rice- fish farming (RFF) in  Fars Province.  Iranian agricultural Extension and education; 2(2):31-43

21. Leeuwis. C. & Van den ben. A. (2003). Communication for Rural Innovation. The Journal of Agricultural Education and Extension, pp127-129

22. Mahboubi, M. (2003). Analysis Factorsaffecting the adoption behavior regarding soil conservationtechnologyin the Zarrin watershed Golestan, Doctoral thesis, Faculty of Agriculture, Tehran University. (In Farsi).

23. Marques, G. F., & Lund, J.R., (2005). Modeling irrigated agricultural production and water use under water supply uncertainly. Water Resources Research, 41(8) WO8423.

24. Miller, M, & Mariola. J. (2008).The Discontinuance of Environmental Technologies In the Humid Tropics of Costa Rica: Results from a Qualitative Survey.

25. Monfared, N. (1995). Factors effecting on technology adoption in rice farming and consequences of technologies on rice producers women in Fars and Mazandaran provinces, Master's thesis, Faculty of Agriculture, University of Shiraz. (In Farsi).

26. Namara, R., Nagar, R. & Upadhyay, B. (2007). Economics Adoption determinants, and impacts of micro- irrigation technologies: empirical result from India, Irrigation Science, 25(3): 283-297.

27. Neupane, R., Sharma, K., & Thapa, G. (2002). “Adoption of Agroforestry in the Hills of Nepal: A Logistic Regression Analysis”. Journal of Agricultural Systems, 72(177-196).

28. Noroozi, O., & Chizari, M. (2006). Effective factors involved in adoption of sprinkler irrigation: A case study in wheat farmers in Nahavand Township, Iran. Journal of development and agricultural economy, summer: 14 (50). (In Farsi).

29. Ofuoku, A., Olele, N., & Emah, G. (2008). Determinants of Adoption of Improved Fish Production Technologies among Fish Farmers in Delta State, Nigeria. Journal of Agricultural Education and extension, 14 (297-306).

30. Oilseeds Production Plan 2005-2014, (2009), Ministry of Agricultural Jihad.

31. Robertson, A., Soopramanien, D. and Fildes, R. (2007). A segment-based analysis of Internet service adoption among UK households. Technology in Society, 29 (2007) 339–350 Available www.elsevier.com/locate/techsoc.

32. Saburi, M.S., & Ommani, A.R. (2008). Factors related to accepting livestock insurance by Garmsar City ranchers. Journal of development and agricultural economy, 1(2); 93-104. (In Farsi).

33. Shahin, A.H. (2004). Adoption of innovation in smallholder buffalo dairy farms in the Menoufia province of Egypt, Un published Doctoral, Dissertation, Humboldt University, Berlin.

34. Subashini, B. & Thyagarajan, S. (2002). Characteristics of Tapioca Farmers and their Adoption Behavior. Indian Journal of Extension Education, 38(1&2): 85-87.

35. Tabraee, M. & Hasannejad, M. (2009). Factors influencing the performance and adoption of agricultural extension interventions towards agricultural development: A case of wheat farmers in Kermanshah Township,Journal of Economics and Agricultural Development, 21(1), 59-69.(In Farsi).

36. Tarazkar, M.H., & Behjat, A.M. (2007). Determinants of nitrogen fertilizer overuse in wheat dry farming in Kermanshah Province, Journal of Agricultural Extension and Education, 3(1); 45-54. (In Farsi).

Yaghoubi, J. & Chizari, M. (2006). Effective factors in adoption and application of Internet in educational and research activities of graduate students of agricultural education and extension, Iranian Journal of Agricultural Sciences (Journal of Agriculture), 37-2(1), (Agricultural Economics and Development); 85-92. (In Farsi).

Statistics
Article View: 662
PDF Download: 808


Journal Management System. Powered by Sinaweb