A STUDY OF ECONOMIC, SOCIAL, AND INSTITUTIONAL FACTORS AFFECTING THE ADOPTION OF THE HIGH-RANK WHEAT SEEDS
DOI:
https://doi.org/10.36103/ijas.v54i1.1688Keywords:
tobit model , seed multiplication, tenure, comparative advantage of technology.Abstract
The aim of this research is to investigate the effect of economic, social and institutional factors on adoption within the national program for the propagation of high-rank seeds of wheat crop. 170 questionnaires were collected, 50% of them were participants in the program from Wasit and Babil governorates. Probabilistic regression models were used to know this effect, and the possibility of adopting Farmers of improved seeds produced from the national program for the multiplication of seeds of higher grades using the (ADOPT) program. The adoption rate was 0.12%, and the total number of adopters were 12 farmers, at a rate of 14.2%. Tobit model was estimated to find out the impact of the profitability of the dunum, capital, farm size, education, type of tenure, and the number of adoption cycles expressed by 1 in the case of adoption and 0 otherwise. It was found that the increase in the size of the farm and the profitability of the dunum by one unit, the probability of adoption will increase by 5.6 and 2.3, respectively. The results of the ADOPT analysis showed that after the first (5) passes after the launch of the program’s seeds and the farmers’ knowledge of its existence, the adoption rate is expected to reach about (90.9%) of farmers, and reaching the top of adoption, which reaches about (95%) of farmers, requires a period up to about (7.4) years. The size of the initial cost of the investment in relation to the potential annual returns from the use of the technology: The size of the initial investment is (low) cost, the seeds produced from the program had a lower cost than the imported seeds and are competitive with them in quality, purity, and desirable genetic characteristics , so the cost the initial investment for these seeds is small compared to the expected return from the seed output.
References
Ali, E. H. 2016. Measuring of efficiency of the cows farms by using the qualitative response models. The Iraqi Journal of Agricultural Sciences. 47(2):600-611.
Andersen, A. 2002. Understanding the Elements and Adoption of Environmental Best Practice in Horticulture. Horticultural Australia Ltd , pp:202
Baerenklau, K. A., and K.C. Knapp.2007. Dynamics of agricultural technology adoption: Age structure, reversibility, and uncertainty. American Journal of Agricultural Economics, 89(1): 190-201
Barbaz, D.S.2014. The economic evaluation of producing wheat al-Abaichi. The Iraqi Journal of Agricultural Sciences, 45(2): 165-173
Eskander. H. A. and M. F. Faeq.2019. Using probability regression models to measuring efficiency for broiler projects. The Iraqi Journal of Agricultural Sciences 50(Special Issue):76-83
Falck-Zepeda, J.B., and G. Traxler. 2000. Rent Creation and Distribution from Transgenic Cotton in the United States. American Journal of Agricultural Economics 82: 360–369
Feder, G. R. and D. Zilberman, 1985, Adoption of agricultural innovations in developing countries: A survey. Economic Development and Cultural Change, (2)33.:98-255.
8.Fichman, R. G. and C. F. Kemerer. 1993. Adoption of software engineering process innovations: The case of object orientation. Sloan management review, 2(34): 7-22.
Gujarati, D. N. 2004. Basic Econometrics. 4thedition. McGraw-Hill Companies. New York Press. LTD. pp: 580-635
Hall, T. J., J.H. Dennis, and R.G. Lopez . 2009. Factors affecting growers' willingness to adopt sustainable floriculture practices. Hortscience.44(5):1346–1351.
Ionescu, R. V., Zlati, M. L., Antohi, V. M., Stanciu, S., and F.O. Virlanuta.2020. New agricultural model of economic sustainability for Wheat seed production in Romania. Sustainability, 12(10): 1-21
Kuehne, G., R.S. Llewellyn, Pannell, D. J., Wilkinson, R., Dolling, P., and m.a. Ewing. 2011. ADOPT: A tool for predicting adoption of agricultural innovations , Agricultural Systems.V.156:115-125
Kumar, G., C. Engle and C. Tucker. 2018. Factors driving aquaculture technology adoption. Journal of the World Aquaculture Society, 49(3): 447-476.
Llewellyn, R. 2007. Information quality and effectiveness for more rapid adoption decisions by farmers, Field Crops Research. 104(3):148-156
Marshall, G. R. 2008. Multi-level governance and on-farm adoption of conservation practices in three Australian regions. Paper presented to the 12th Biennial Conference of the International Association
Mohammed, K. F., B.H. AL-Badri and B. B. Dhehibi. 2021.An economic analysis for adoption of subsurface drip irrigation technology in Iraq. Islamic economics conference
Montes D., O. Pannell, and R. Llewellyn. 2021. Understanding the Adoption of Innovations in Agriculture: A Review of Selected Conceptual Models. Agronomy, 11(139): 1-22.
Pannell, D. J., G.R.Marshall, N. Barr, Vanclay, F., and R.Wilkinson. 2006. Understanding and promoting adoption of conservation practices by rural landholders. Australian journal of experimental agriculture, 46(11):1407-1424.
Rogers , M .2003. Diffusion Of Innovations ,3ed. A Division of Macmillan Publishing Co., Inc. New York. Pp:447
Shideed, K. H. 1995. Adoption of barley production technologies in Iraq: a farm level analysis. In Regional Symposium on Integrated Crop-Livestock Systems in the Dry Areas of West Asia and North Africa, Amman (Jordan), 6-8 Nov. ICARDA
Ugochukwu, A. I., and P.W. Phillips.2018. Technology adoption by agricultural producers: a review of the literature. From Agriscience to Agribusiness.,p:(361-377).
Zaleskiewicz, T., 2001, Beyond risk seeking and risk aversion:personality and the dual nature of economic risk taking. European. Journal of Personality, Special Issue: Personality and Economic Behaviour (S1)15:105-122.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
How to Cite
2.jpg)
2.jpg)
