Determinants of farmers' willingness to use knowledge-based agriculture in Mazandaran province

Document Type : Research Paper

Authors

1 Department of Agricultural Extension and Education, Faculty of Crop Sciences, Sari Agricultural Sciences & Natural Resources University , Sari, Iran.

2 Industrial Management Department, Economic and Administrative Sciences Faculty, Mazandaran University, Babolsar, Iran

3 Department of Industrial Management, Faculty of Economic and Administrative Sciences, Mazandaran University, Babolsar, Iran

Abstract

The agricultural sector is of most importance for ensuring the country's food security, but for the negative effects on the environment and excessive use of the country's natural resources is criticized. So it is necessary to utilize knowledge-based agriculture in order to optimally use of resources in line with sustainable development and ensuring food security. This study was conducted with the purpose of explaining the determinants of farmers' willingness to use knowledge-based agriculture by using the descriptive-correlation method and the survey technique in Mazandaran province. The statistical population includes all the farmers of Mazandaran province who were selected by multi-stage random sampling. The data collection tool is a questionnaire. Based on the results, the average willingness of farmers to use knowledge-based agriculture was higher than average.

The results of the path analysis showed that the attitude towards knowledge-based agriculture, the amount of knowledge and information of farmers and the level of understanding of problems had a significant direct effect on the willingness of farmers to use knowledge-based agriculture. The level of farmers' education had a positive and significant effect on the farmers' knowledge and information and their attitude, also education had a considerable indirect effect on the willingness of farmers.

Keywords

Main Subjects

References

Abadi, B., Azizi-Khalkheili, T., & Morshedloo, M.R. (2021). Analysis of adopter and non-adopter farmers’ behavior to cultivate medicinal plants in Sari township. Iran Agricultural Extension and Education Journal, 17, 49-59. Doi: 20.1001.1.20081758.1400.17.0.4.8, (In Persian)
Adesina, A. A., & Zinnah, M. (1993). Technology characteristics, farmers’ perceptions and adoption decisions: A Tobit model application in Sierra Leone. Agricultural Economics, 9(4), 297–311. Doi:org/10.1111/j.1574-0862.1993.tb00276.x
Ajzen, I. (2011). Theory of planned behavior. Available at http:// www.people. umass. edu/aizen/tpb accessed 24February 2011. doi:org/10.1016/0749-5978(91)90020-T.
Ajzen, I., & Fishbein, M., (1980). Understanding Attitude and Predicting Social Behaviour, Prentice-Hall, Englewood Cliffs, NJ. doi:org/10.1111/j.2044-8260.1976.tb00002.x.
Ajzen, I., (1991). The theory of planned behavior, Organizational behavior and human decision processes, Amsterdan 50, 179e211. DOI:10.1016/0749-5978(91)90020-T.
Ajzen, I., (2005). Attitude, Personality and Behavior, 2 ed, Open University Press, Maidenhead.
Azami, M., & Hasanpoor, K. (2020). Applying an integrated acceptance model and using technology for accepting innovations among farmers in Delfan County). Journal of Agricultural Education Administration Research, 12(52), 157-176. doi: 10.22092/jaear.2020.342593.1718 (in Persian)
Baniasadi, M., &Jala’eeEsfandabadi, S. (2016). Analysis the Impact of Technology Spillovers on Total Factor Productivity of Agricultural Sector in Iran. Journal of Agricultural Economics and Development, 30(2), 117-126. doi: 10.22067/jead2.v30i2.54600 (in Persian)
Castillo, G. M. L., Engler, A., &Wollni, M. (2021). Planned behavior and social capital: Understanding farmers’ behavior toward pressurized irrigation technologies. Agricultural Water Management, 243, 106524. doi:10.1016/j.agwat.2020.106524.
Challa, M. (2013). Determining Factors and Impacts of Modern Agricultural Technology Adoption in West Wollega: The Case of Gulliso District. GRIN Verlag, Munich.
Cheng, E. W. L. (2018). Choosing between the theory of planned behavior (TPB) and the technology acceptance model (TAM). Educational Technology Research and Development. doi:10.1007/s11423-018-9598-6.
Chikwendu, D.O., &Arokoyo, J.O.(1997). Women and sustainable agricultural development in Nigeria. Journal of Sustainable Agriculture. 1997 Sep 10;11(1):53-69. doi:org/10.1300/J064v11n01_06.
Coulibaly, T. B., Du, J., Diakité, D., Abban, O. J., &Kouakou, E.(2021). A Proposed Conceptual Framework on the Adoption of Sustainable Agricultural Practices: The Role of Network Contact Frequency and Institutional Trust, Sustainability 2021, 13, 2206. https://doi.org/10.3390/su13042206.
Darzi-Naftchali, A., Maldar-Badeli, M., Ziatabar-Ahmadi, M., &Karandish, F. (2016). Analyzing Climate Change Effects on Agriculture Sustainability in Mazandaran Province. Iranian Journal of Irrigation & Drainage, 9(6), 994-1004. (in Persian)
Dong, H., Wang, H., and Han, J. (2022). Understanding Ecological Agricultural Technology Adoption in China Using an Integrated Technology Acceptance Model—Theory of Planned Behavior Model, Frontiers in Environmental Science, doi: 10.3389/fenvs.2022.927668.
Fuentes, M.(2016). Saba, V. Explaining Ocean Warming: Causes, Scale, Effects and Consequences; IUCN: Gland, Switzerlan, 2016; pp. 289–302.
Godfray, H.C.J., Beddington, J.R., Crute, I.R., Haddad, L., Lawrence, D., Muir, J.F., Pretty, J., Robinson, S.,Thomas, S.M., & Toulmin, C.(2010). Food Security: The Challenge of Feeding 9 Billion People, 812–818.
Jamshidnejad, G., vahedi, M., Poursaeed, A., &chaharsoughi amin, H. (2021). Educational Promoter and Deterrent Affecting Agricultural Knowledge-Based Firms’ Management towards Successful Development in West of the Iran. Journal of Agricultural Education Administration Research, 12(55), 9-37. doi: 10.22092/jaear.2021.352665.1778 (in Persian)
Kazemian, M., Habibi, A., Habibi, M. (2020). Effect of ease of use, perceived usefulness and social picture of customer attitudes and willingness of customers to use mobile banking (Case Study: Mobile users of Tejarat Bank). Journal of New Research Approaches in Management and Accounting. 28(1), 74-93. Doi: 10.4314/jfas.v8i2s.125, (in Persian)
Keshavarz, A., Memar, S., &Hemmati, R. (2023). Azna Region Farmers' Perception of High-Risk Agriculture (A Grounded Theory). Quarterly Journal of Social Development (Previously Human Development), 17(3), 169-202. doi: 10.22055/qjsd.2023.18268.
Mahdavi, T.(2021). Application of the ‘theory of planned behavior’ to understand farmers’ intentions to accept water policy options using structural equation modeling, Water Supply (2021) 21 (6): 2720–2734, https://doi.org/10.2166/ws.2021.138 .
Makarau, S. B., Damina, A., Daneji, M. I., and Garba, A. O., (2013). Socio-economic factors influencing the adoption of Ginger (Zingiber Fficinale) farming technologies in Samaru Zone of the Kaduna State Agricultural Development Project (Kadp). International Journal of Humanities and Social Science Invention, 2(7), 39-44.
Maleki M. B. R., M., Farsizadeh, H. &Baluochi, H. (2014). The Effect of Customer Knowledge Management on the Willingness to Purchase on the Internet Among the Students of Semnan University. Journal of Industrial Management, 9(Special Issue on Knowledge Management), 13-26. (in Persian)
McElroy, M.W.(2008). Social Footprints. Measuring the Social Sustainability Performance of Organizations. Dissertation, University of Groningen.
Meijer, S. S., Catacutan, D., Ajayi, O. C., Sileshi, G. W., &Nieuwenhuis, M. (2015). The role of knowledge, attitudes and perceptions in the uptake of agricultural and agroforestry innovations among smallholder farmers in sub-Saharan Africa. International Journal of Agricultural Sustainability, 13(1), 40–54. Doi:org/10.1080/14735903.2014.912493.
naghavi, S. (2019). the role of knowledge-based economic in the agriculture growth of selected countries with an emphasis on Iran. Agricultural Economics, 13(2), 83-105. doi: 10.22034/iaes.2019.105813.1686 (in Persian)
Negatu, W., & Parikh, A. (1999). The impact of perception and other factors on the adoption of agricultural technology in the Moret and Jiru Woreda (district) of Ethiopia. Agricultural Economics, 21(2), 205–216. Doi:org/10.1111/j.1574-0862.1999.tb00594.x.
Ngigi, S. N. (2003). What is the limit of up-scaling rainwater harvesting in a river basin? Physics and Chemistry of the Earth, Parts A/B/C, 28(20–27), 943–956. Doi:org/10.1016/j.pce.2003.08.015
Ntshangase, N. L., Muroyiwa, B., & Sibanda, M. (2018). Farmers’ perceptions and factors influencing the adoption of no-till conservation agriculture by smallscale farmers in Zashuke, KwaZulu-Natal province. Sustainability (Switzerland), 10(2), 1–16. https://doi.org/10.3390/su10020555.
Pezeshki Rad, G., Mostafavi, S., &KaramiDehkordi, E. (2013). An Investigation of The Factors Influencing Farmers’ Adoption of Modern Irrigation Systems in Zanjan, and Khodabande Townships. Iranian Journal of Agricultural Economics and Development Research, 43(4), 595-605. doi: 10.22059/ijaedr.2013.51341.
Pourmoghaddam, A. (2011). The impact of factors productivity changes of production on rural poverty indices in Iran, M.Sc Thesis, Faculty of Agricultural, Department of Agricultural Economics, Shahid Bahonar University of Kerman. (In Persian).
Prager, K., &Posthumus, H. (2010). Socio-economic factors influencing farmers’ adoption of soil conservation practices in Europe. In T. L. Napier (Ed.), Human dimensions of soil and water conservation, number January chapter 12 (pp. 203–223). New York: Nova Science Publishers Inc.
Rahimnia, F., Noruzi Nik, Y., &Yoosofpour, A. (2016). Study of the effects of perceived knowledge of Green products on purchase intention in terms of attachment to this hypermarket. Journal of Business Management, 8(3), 569-586. doi: 10.22059/jibm.2016.60628 (in Persian)
Razzaghi B., F. &Mirtorabi, M. S. (2021). Modeling The Intention To Adoption Conservation Agriculture Technologies Based On TPB Model. Journal Of Environmental Education And Sustainable Development, 9(3), 63-80. Doi:org/10.30473/ee.2021.52065.2187, (in Persian)
Rogers, E. M. (2003). Diffusion of Innovations (5th ed.). New York: Simon & Schuster.
Ruzzante, S., Labarta, R., &Bilton, A. (2021). Adoption of agricultural technology in the developing world: A meta-analysis of the empirical literature. World Development, 146, 105599. doi:10.1016/j.worlddev.2021.105. 10.1016/j.worlddev.2021.105599.
Ryan, B., & Gross, N. (1943). The diffusion of hybrid seed corn in two Iowa communities. Rural Sociology, 8(1), 15–24.
Sahrai, F., Rezvanfar, A., &Alambaigi, A. (2018). Development of a Structural Model of Conservation Agricultural Technology among Wheat Producers in Ilam Province Based on Variables of Social Capital and Social Perception. Agricultural Extension and Education Research, 11(2), 41-49.doi: magiran.com/p1864566, (in Persian)
Salleh Hassan, M, Mohamed Shaffril, H. A., Abu Samah, B., Ali, M. S., Ramli, N. S. &Azarian, Z. S. (2012). The credibility of television in disseminating agricultural information to farmers in Malaysia. Asian Social Science, 8(12), 133-139. Doi:org/10.5539/ass.v8n12p133.
Senger, I., Borges, J. A. R., & Machado, J. A. D. (2017). Using the theory of planned behavior to understand the intention of small farmers in diversifying their agricultural production, Journal of Rural Studies, 49, 32–40. doi:10.1016/j.jrurstud.2016.10.
Statistical Centre of Iran (1401). Economic growth rate for nine months of 1401.
Statistical Centre of Iran (1401). Summary of the labor force census plan. Summer 1401.
Streiner, D. L. (2005). Finding our way: an introduction to path analysis. Canadian Journal of Psychiatry, 50(2), 115-122. Doi: 10.1177/070674370505000207
Tahmasabi, M. &Mozafari, A. (2021). The impact of mass media on agricultural development. Journal of Islamic Studies and Research, 3(29), 1-9. (In Persian)
Ugochukwu, A. I.., & Phillips, P. W. B. (2018). Technology Adoption by Agricultural Producers: A Review of the Literature. In K. Nicholas, C. Elias G., G. Evangelos, & R. Stelios (Eds.), From Agriscience to Agribusiness - Theories, Policies and Practices in Technology Transfer and Commercialization (pp. 361–377). Springer, Cham. http://dx.doi.org/10.1007/978-3-319-67958-7_17.
Vashishtha, U. (2011). An assessment of knowledge and adoption of chilli (Capsicum annum L.) production technology in Udaipur district of Rajasthan. Ph.D. Dissertation. MPUAT, Udaipur.
Wyckoff, A. (2016). Measuring science, technology and innovation. OECD, Paris.
Journal of Technology Development Management
Volume 11, Issue 1
January 2024
Pages 9-40

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History

  • Receive Date: 10 June 2023
  • Revise Date: 19 November 2023
  • Accept Date: 11 December 2023

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