A STUDY OF FACTORS AFFECTING ADOPTION OF PIVOT SPRINKLER IRRIGATION TECHNOLOGY FOR WHEAT CROP PRODUCERS
DOI:
https://doi.org/10.36103/0sdxzx58Keywords:
structural equation modeling, confirmatory factor analysis, likert scale, responsible consumption.Abstract
This research was aimed to investigate a model of confirmatory structural validity for indicators of adopting axial sprinkler irrigation technology for wheat producers in Ain Al-Tamr district as the Karbala governorate during the agricultural season (2020-2021) through a number of hypotheses to measure and estimate the latent variables based on the five-point Likert scale to show the behaviors and psychological preferences for a set of phrases the samples targeting of farmers to the most important factor affecting the adoption of pivot sprinkler irrigation technology. The sample consisted of (100) farmers and based on the method confirmatory factor analysis and using the AMOS program. The most important influencing factors were obtained after exceeding the quality of conformity model, as the study proved that technology is of great importance in solving production problems, and social media has a significant impact on the availability of concepts and information about technology and great importance in the dissemination of that technology, and the decrease in water levels in the rivers (Tigris and Euphrates). Climatic changes led to directing the behavior and preferences of producers towards adopting pivot sprinkler irrigation to compensate for the shortage in irrigation water sources. Academic achievement and government support have a significant impact on the producer’s behavior in using modern irrigation methods.
References
Akyuz, N.C. and L. Theuvsen. 2020. The impact of behavioral drivers on adoption of sus-tainable agricultural practices: the case of orga-nic farming in Turkey. Sustain-ability. 12(17): 1-20.
Al-Timimi, Y. K., F. Y. Baktash. 2024. Monitoring the shift of rainfed line of 250 mm over Iraq. 55(3):931-940. https://doi.org/10.36103/h10cqh53
Ali, E.H., Y.T. Baker, and B.F. Al-Douri. 2022. Effect of supplementary irrigation system on wheat production efficiency using a stochastic frontier analysis. Iraqi Journal of Agricultural Sciences. 53(2): 353-364. https://doi.org/10.36103/ijas.v53i2.1542
Ali, S.H., and O. K. Jbara. 2021. An economic study of post-harvest losses for wheat farmers in Iraq Baghdad governorate case study. Iraqi Journal of Agricultural Scien-ces. 52(5): 1267-1275. https://doi.org/10.36103/ijas.v52i5.1464
Al-Mahdi, Y.F. Al-Hindawi. 2007. Structural equation modeling method (SEM) and applica-tions in educational administration research. Journal of Education and Development. 15(40): 9-41.
Amer, A.N. Al-Sayed. 2018. Structural Equation Modeling for The Psychological and Social Sciences: Foundations, Applications, And Issues, 2nd ed., Naif Arab University for Security Sciences, Al-Riyadh. pp: 344.
Caffaro, F., and E. Cavallo. 2019. The effects of individual variables, farming system characteristics and perceived barriers on actual use of smart farming technologies: Evidence from the Piedmont region, northwestern Italy. Agriculture. 9(5): 1-13.
Castillo, G.M.L., A. Engler, and M. Wollni. 2021. Planned behavior and social capital: Understanding farmers’ behavior toward press- urezed irrigation technologies. Agricultural Water Management. 243(2021): 1-12.
Economic and Social Commission for Western Asia (ESCWA) and International Cen-ter for Agricultural Research in The Dry Areas (ICARDA). 2003. Enhancing Agricultural Pro-ductivity Through On-From Water-Use Effi-ciency: An Empirical Case Study of Wheat Production in Iraq. United Nations, New York. pp: 74.
Feder, G., R.E. Just, and D. Zilberman. 1985. Adoption of agricultural innovations in developing countries: A survey. Economic development and cultural change. 33(2): 255-298.
Gliem, J.A., and R.R. Gliem. 2003. Calculating, interpreting, and reporting Cron-bach’s alpha reliability coefficient for Likert-type scales. Midwest Research to Practice Conference in Adult, Continuing, and Comm-unity Education. pp: 7.
Ibrahem, N. T; 2021. The role of remote sensing in monitoring the wheat’s growth phonological phases to support the yielding process management in Syria. Arabian Journal of Scientific Research. 2(9): 1-18.
Michels, M., C.F. von Hobe, P.J. Weller von Ahlefeld, and O. Musshoff. 2021. The adoption of drones in German agriculture: a st-ructural equation model. Precision Agriculture. 22(6): 1728-1748.
Namik, F. N; 2013. Employing exploratory factor analysis to extract the factors of organizational loyalty and job satisfaction as a case study at the Administrative Technical College Baghdad. Journal of Economics and Administrative Sciences. 19(70): 96-96.
Nicholas, K. and et al. 2018. From Agri-science to Agribusiness: Theories, Policies and Practices in Technology Transfer and Comm-ercialization, Springer International Publishing AG 2018. pp: 364.
Pino, G., P. Toma, C. Rizzo, P.P. Miglietta, A.M. Peluso, and G. Guido, 2017. Deter-minants of farmers’ intention to adopt water saving measures: Evidence from Italy. Sustain-ability. 9(1): 1-14.
Rogers, E. M.; 1995. The Diffusion of Innovations, 4th ed., The Free Press, New York, U.S.A. pp: 519.
Rogers, E. M.; 2003. The Diffusion of Innovations. 5th ed., The Free Press, New York, U.S.A. pp: 551.
Saengavut, V., and N. Jirasatthumb. 2021. Smallholder decision-making process in technology adoption intention: implications for Dipterocarpus alatus in Northeastern Thaila-nd. Heliyon. 7(4): 1-10.
Salimi, M., R. Pourdarbani and B. A. Nouri. 2020. Factors affecting the adoption of agri-cultural automation using Davis’s aceptance model (case study: Ardabil). Acta Techno-logical Agricul-ture. 23(1): 30-39.
Sharma, B; 2016. A focus on reliability in developmental research through Cronbach’s Alpha among medical, dental and paramedical professionals. Asian Pacific Journal of Health Sciences. 3(4): 271-278.
The U.S. Geological Survey’s (USGS). http://www.EarthExplorer.USGS.gov.
Tighaza, M. B; 2012. Exploratory and Confirmatory Factor Analysis, 1st ed., Dar Al-Maysara for Publishing and Distribution, Amman. pp: 399.
Yaron, D., H. Voet and A. Dinar. 1992. Innovations on family farms. American Journal of Agricultural Economics. 74(2): 361-370.
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