AN ANALYSIS OF THE IMPACT OF SOME SOCIO-ECONOMIC VARIABLES IN REGULATING THE CULTIVATION AND MARKETING OF THE RICE CROP IN IRAQ

Authors

DOI:

https://doi.org/10.36103/ijas.v54i1.1704

Keywords:

Agricultural legislation, logistic regression, subsidy policy

Abstract

This research was aimed to study the results of the application of agricultural legislation and the variables affecting compliance with such legislation, as well as knowing the role of agricultural legislation in supporting the agricultural policy steps in Iraq. The results showed that the variable of providing loans increases the probability of farmers’ commitment to the governmental agricultural plan to a large extent, amounting to about (28.7), and the variable of the sale price of the crop to the state has an impact on the probability of commitment to the plan at a degree of (1.02) greater than the chances of non-compliance with the agricultural plan, as well as the variable value of the returns achieved under The existence of government support to a degree or a fixed rate of (1) in favor of adhering to the agricultural plan. As for the farmers' decision to market their crops to the state, it was found that the most influential variables were the commitment to the agricultural plan, almost six times (6.25), which will increase the probability of marketing the crop to the state compared to the commercial one. The other variable was the provision of loans with a double degree of about (2.72). The research concluded that paying attention to the aspect of financing and providing agricultural loans to farmers will lead to farmers getting rid of the financial restrictions imposed on them by the private sector. Also, the continuation of providing support will lead to an improvement in the level of farm income for farmers and not to search for other means to obtain income and thus adhere to the government legislation drawn up. The research recommended the need to provide government support and use modern technologies to increase production rates and achieve greater returns for farmers, and the presence of a supervisory body working to ensure that farmers do not violate the imposed government legislation.

References

Abbas.A. K H. 2012. Using a logistic regression model to predict functions with qualitative dependent economic variables. Kirkuk University Journal of Administrative and Economic Sciences. 2(2): 238- 248

Alfarhood, S. H. A. 2014. The use of logistic regression to study the factors affecting the performance of stocks (applied study on the Kuwait Stock Exchange. Journal of Al Azhar University-Geza (Natural Sciences). 16 : 47-68

Alhasani, L. N. H and A. D. Almadhidy. 2017. Effect of irrigation times and organic fertilization on the growth and yield of two rice cultivars under the SRI rice intensification system. Iraqi journal of agricultural sciences. 48(3):823-840

Aljaadhi, K. S. 2005. Decision-Making Techniques, Computer Applications, Part one, Riyadh, Dar Al-Ashab. pp.88

Assalihi, A.TH.H. 2016. The sources of communication used by the agricultural guide to transfer agricultural information to the cultivation of straw in Al-Abbasiya sub-district, Al-Najaf Governorate. Iraqi journal of agricultural sciences. 47(3): 765-771

Ba bteen, A. B. A. 2009. Logistic Regression and How to use it to Build Prediction Models for Data with two-valued Dependent Variables. Ph.D dissertation, Dept. of Psychology., Coll. of Education., Univ. of Um-AlKora. pp. 11

Garson, D., 2006, Logistic Regression. Available at: http://www2.class.ncsu.edu/garson/pa765/logistic.htm

Habshah, M. and et.al. 2013. Collinearity diagnostics of binary logistic regression model. Journal of Interdisciplinary Mathematics. 13(3): 253-267

Ismaeel, M.A. 2001. Linear Regression Analysis. Riyadh: Institute of Public Administration.pp

Lian, N. 2018. A review of the application of logistic regression in educational research: common issues, implications, and suggestions. Educational Review 72(3):1-27

Mahmood, Z. H. 2010. An economic analysis of the response to the supply of rye crop in Najaf governorate for the period 1985-2006. Iraqi journal of agricultural sciences. 41(3): 130-139

Maroof D. A. 2012. Binary Logistic Regression. In: Statistical Methods in Neuropsychology. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-3417-7_8

Mhesen, A. J. 2012. Logistic regression in the study of family income adequacy in Diwaniyah. Al-Kut Journal of Administrative and Economic Sciences. Special issue scientific conference. 1(part 2) : 332-341

Othman, I.A. 2018. An applied study on logistic regression using the R program. Dept. of Statistics. Coll. of Science., Univ. of Sabha. pp.3

Pampel, K. and C. Fred. 2000. Logistic Regression A primer. Sage University Paper series on Quantitative Applications in the Social Sciences. No.(07-132). Beverly Halls, CA: Sage Publications

Sidibe A., 2005. Farm-level Adoption of Soil and Water Conservation Techniques in Northern Burkina Faso, Department of Rural Sociology and Economics, Rural Development Institute (IDR), Polytechnic University of Bobo-Dioulasso, Burkina Faso, West Africa.pp.219

Suleiman, A. A. F. and et.al. 2016. A comparison between the binary logistic model and the discriminatory function in classification by applying to the most important factors affecting the adequacy of family income. Journal of Economic Science. 17(2): 75-85

Shemal, A. H. and A. M. Chechan. 2017. Analysis of the effect of some variables on treatment response to heart failure using a logistic regression model. Al Kut University journal. 1(4):58-70

Walker, J. 1996. Methodology Application: Logistic Regression Using the Codes Data. Developed For Department of Transportation, National Highway Traffic Safety Administration (NHTS). Washington DC. pp.61

Zhao, Limi and others. 2001.Comparison of logistic regression and Linear regression in modeling percentage data. Applied and Environmental Microbiology. 67( 5): 21-31

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2023-02-22

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How to Cite

Noor.A.A, A.D.K AL-Hiyali, & Muhammed. KH. M. (2023). AN ANALYSIS OF THE IMPACT OF SOME SOCIO-ECONOMIC VARIABLES IN REGULATING THE CULTIVATION AND MARKETING OF THE RICE CROP IN IRAQ. IRAQI JOURNAL OF AGRICULTURAL SCIENCES, 54(1), 317-329. https://doi.org/10.36103/ijas.v54i1.1704

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