MEASURING EFFICIENCY OF BROILER BREEDING PROJECTS USING STOCHASTIC COST LIMIT IN IRAQ (BAGHDAD GOVERNORATE)

Authors

  • R.T. Al-Wasity
  • Z. H. Mahmood
  • M. H. AL-Sammarraie

DOI:

https://doi.org/10.36103/ijas.v54i2.1729

Keywords:

cost efficiency, Poultry project management, maximum likelihood

Abstract

The study aimed to estimate the cost efficiency and to know the most important social and economic factors affecting the production of broiler chickens in the Baghdad governorate. Using the random parametric analysis (SFA) based on the greatest possibility (ML) method. To determine the factors affecting the cost inefficiency function. The study relied on primary data from its field sources according to a questionnaire prepared for this purpose in Baghdad Governorate for one production year (2022). Data were collected randomly from (64) projects out of a total of (546) projects, with a rate of (11.72%). The results indicated that all the explanatory variables confirmed a prior prediction of the economic theory, as all the coefficients estimated for the cost of fodder, chicks, medicines, vaccines, and chicken meat production gave positive parameters indicating agreement with the assumption that the cost function increases directly with the input prices. The average cost of broiler breeding projects in the sample area was estimated at 1.04, which is about 4% more than the minimum cost set by the limits. Breeders can achieve an additional profit of up to 12.2% if the optimum efficiency is reached, so breeders must develop their agricultural skills in managing the use of inputs to achieve the lowest possible cost efficiency.

References

Adeyemi, B.B., V.O. Okoruwa and A. Ikudaisi. 2017. Cost efficiency among rice millers in Southwest Nigeria. Int. J. Social Econom., 4412:2450-2465

Aigner, D.J., C.A.K. Lovell and P. Schmidt. 1977. Formulation and estimation of stochastic frontier production function models. J. Econom., 6:21-37

AL- Ukeili, O.K. 2006. Estimation of cost functions and economies of size for poultry projects (in Baghdad). Iraqi J. Agri Sci., 37(2): 43-52.

Al-Abd alaali, H.J., and Z.H. Mahmood. 2021. Economic research of broiler projects for some provinces in the middle of Iraq in 2019. Iraqi J. Agri Sci., 52(4):1019-1030. https://doi.org/10.36103/ijas.v52i4.1413

Al-Aqili, O.K. 2005. Optimality by short ran cost function for poultry projects under rehabilitation program for the poultry sector. Iraqi J. Agri Sci., 36 (1):173- 180

Al-Hachami, I., F.H.N. AL-Bahadely and O.K. Jbara. 2020. An economic analysis of meat poultry breeding projects and their profit efficiency in Iraq for the year 2020 (Wasit as a case study). Iraqi J. Agric. Sci., 53: 677-684

AL-Hachamiy I.S. and O.K. Al Ukeili. 2014. Study of technical and economic efficiency of certified wheat cultivars in the irrigated areas of Iraq during the season 2012-2013. Iraqi. J. Agri Sci., 46(4):569-583

AL-Hachamiy I.S., O.K. Al Ukeili, and M.S. Jubouri. 2018. Measuring effect of moderm technological packages on the profit efficency of wheat farmers in Iraq using stochastic profit frontier function. Iraqi. J. Agri. Sci., 49(5):687-697. https://doi.org/10.36103/ijas.v49i5.38

Alrwis, K. and E. Francis. 2003.Technical, allocative, and economic efficiencies of broiler farms in the central region of Saudi Arabia: Data envelopment analysis approach. J. Saudi Society of Agri. Sci., 1(2): 73-99

Areerat-Todsadee, H. K., K. Ngamsomsuk and K.E. Yamauchi, K. 2012. Production efficiency of broiler farming in Thailand: A stochastic frontier approach. J. Agri Sci., 4(12):9752- 9760

Binuomote, S.O., J.O. Ajetomobi and A.O. Ajao. 2008. Technical efficiency of poultry egg producers in the Oyo State of Nigeria. Int. J. of Poultry Sci., 7: 1227-1231.

Coelli, T.J., S. Perelman and E. Romano. 1999. Accounting for environmental influences in stochastic frontier models: with application to international airlines. J. Productivity Analysis, 113:251-273

Ershad, S.M.E., S.S. Islam, S.C. Mandal, and B. Sarker. 2004. The efficiency of farmers on the productivity of broilers in a selected area of Bangladesh. Int. J. of Poultry Sci., 3(8): 503-506

Ezeh, C., C. Anyiro and J. Chukwu. 2012. Technical efficiency in poultry broiler production in Umuahia Capital Territory of Abia State, Nigeria. Greener J. Agri. Sci., 2(1):1- 7

Ghosh, C. and A. Raychaudhuri. 2010. Measurement of cost efficiency in the case of rice production in West Bengal and Andhra Pradesh. IUP J. Agric. Econom., 1-2:30 – 47.

Hassan, M.M. 2018. Application of stochastic frontier model for poultry broiler production: Evidence from Dhaka and Kishoreganj districts, Bangladesh. Bangladesh Development Studies, 41(1):65–87

Kumbhakar, S.C. and C.A.K. Lovell. 2003. Stochastic Frontier Analysis. New York: Cambridge University Press, pp:230-245.

Kumbhakar, S.C., K.S. Ghosh, and J.T.A. McGuckin. 2003. Generalized production frontier approach for estimating determinants of inefficiency in US Dairy farms. J. Bus. Econom. Statistics, 93:279-286

Mahmood, Z.H., A. Saadoon and S.A. Naser. 2018. Estimating profit and cost functions and economic and technical efficiencies of wheat production nejaf province – al-abbassi township (a case study) for season 2016. Iraqi. J. Agri Sci., 49(3):400-409. https://doi.org/10.36103/ijas.v49i3.111

Meeusen, W. and J. Van den Broeck.1977. Efficiency estimation from Cobb-Douglas production functions with composed error. Int. Econom. Rev.,18:435 – 444.

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Published

2023-04-28

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Articles

How to Cite

R.T. Al-Wasity, Z. H. Mahmood, & M. H. AL-Sammarraie. (2023). MEASURING EFFICIENCY OF BROILER BREEDING PROJECTS USING STOCHASTIC COST LIMIT IN IRAQ (BAGHDAD GOVERNORATE). IRAQI JOURNAL OF AGRICULTURAL SCIENCES, 54(2), 535-541. https://doi.org/10.36103/ijas.v54i2.1729

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