Productivity of Arian Broiler Industry in Kurdistan Province: Integrating ANP and DAMATEL Methods

Document Type : Original Research

Authors
1 Department of Agricultural Economics, Faculty of Agriculture, Tarbiat Modares University, Islamic Republic of Iran.
2 Department of Animal Sciences, Faculty of Agriculture, Tarbiat Modares University, Islamic Republic of Iran.
3 University of Kiel/Thuenen Institute, Braunschweig, Germany.
Abstract
The poultry industry is one of the most important agricultural subsectors, significantly contributing to protein supply and holding a unique position in terms of production and employment. To expand and boost profitability in this industry, it is important to analyze the economic factors of production, so that the factors influencing the rise in productivity of broiler production units may properly be recognized. As a result, the effective factors on the productivity of the Arian broiler sector in Iran's Kurdistan Province were investigated and prioritized in the current study. In order to evaluate the productivity of the industry, four main factors including human capital, economic, technical, and environmental variables were evaluated. The DEMATEL-ANP integrated approach was then used to determine the relative weights of the factors. The results revealed that the human capital component had the highest impact and the economic component was identified as the most influential factor among the other factors. Furthermore, the economic indicator had the highest priority, with a weight of 0.17. Of the 29 research components (sub-criteria), the "broiler farmer experience", with a weight of 0.042, exerted the greatest impact on the productivity of the province's broiler sector. The "feed cost", "day-old chicks cost", and "health care cost" ranked the second to fourth, respectively. According to the findings, more attention should be devoted to the production chain, such as input production and poultry vaccinations, in order to accomplish and also enhance productivity in the broiler industry.

Keywords

Subjects


1. Aboki, E., Jongurr, A.A.U., Onu, J.I. 2013. Productivity and technical efficiency of family poultry production in kurmi local government area of Taraba State, Nigeria. Journal of Agriculture and Sustainability. 3(1): 52-66.
2. Adegbite, D.A., Afolabi, O.I., Ashaolu, O.F., Akinbode, S.O., Olarewaju, T.O. 2014. Non-parametric estimation of the production efficiency of poultry egg farming in Ogun State, Nigeria. American Journal of Experimental Agriculture, 4(12):1668-1679.
3. Adetola, A., Simeon, O. 2013. Economic assessment of raising different broiler strains. Asian Journal of Poultry Science, 7(2): 75-82.
4. Asheri, E.A., Karimzadeh, Y. 2010. Calculation of production factor productivity in broiler farms in West Azerbaijan province. Animal Sciences, 89: 1-7.
5. Birhanu, M.Y., Alemayehu, T., Bruno, J.E., Kebede, F.G., Sonaiya, E.B., Goromela, E.H., Bamidele, O., Dessie, T. 2021. Technical efficiency of traditional village chicken production in Africa: Entry Points for Sustainable Transformation and Improved Livelihood. Sustainability, 13, 8539. https://doi.org/ 10.3390/su13158539.
6. Büyüközkan, G., Güleryüz, S. 2016. An integrated DEMATEL-ANP approach for renewable energy resources selection in Turkey. International Journal of Production Economics, 182: 435-448.
7. EESC .2018. Study on best practices on national export promotion activities, Europen Economic and Social Committee.
8. FAOSTAT. 2019.URL http://www.faostat.org
9. Haji Rahimi, M., Karimi, A. 2009. Factors productivity analysis of broiler chicken industry in Kurdistan province. 17(66): 1-17.
10. Hassan, F. A. 2021. Data Envelopment Analysis (DEA) Approach for assessing technical, economic and scale efficiency of broiler farms. Iraqi Journal of Agricultural Sciences, 52(2): 291–300.
11. Heidari, M.D., Omid, M., Akram, A. 2011. Using Nonparametric Analysis (DEA) for measuring technical efficiency in poultry farms. Brazilian Journal of Poultry Science, 13(4): 271-277.
12. Houedjofonon, E.M., Ahoyo Adjovi, N.R., Chogou, S.K., Honfoga, B., Mensah, G.A., Adegbidi, A. 2020. Scale economies and total factor productivity growth on poultry egg farms in Benin: a stochastic frontier approach. Poultry Science. 8(99): 3853-3864.
13. IKE P.C., Ugwumba C.O.A. 2011. profitability of small scale broiler production in onitsha north local government area of Anambra state, Nigeria. International Journal of Poultry Science, 10: 106-109
14. Kumbhakar, S.C., Malikov, E., Parmeter, C.F. 2021. Applications of efficiency and productivity analysis: editors’ introduction. Empirical Economics 60(6): 2657–2663.
15. Kurdistan Agri-Jahad Portal. 2018. Agricultural Statistics Report.
16. Lee, H. S., Tzeng, G. H., Yeih, W., Wang, Y. J. Yang, S. C. 2013. Revised DEMATEL: Resolving the Infeasibility of DEMATEL, Applied Mathematical Modelling, 37: 6746-6757.
17. Lin, C. L., Tzeng, G. H. 2009. A value-created system of science (technology) park by using DEMATEL. Expert systems with applications, 36(6): 9683-9697.
18. Maisonet-Guzman, O. E. 2011. Food security and population growth in the 21st century. https://www.e-ir.info/2011/07/18/food-security-and-population-growth-in-the-21stcentury/
19. Maureen, O. 2016. factors influencing poultry production among poultry farmers in Eldoret town, uasin Gishu county, Kenya. Master Ofarts In Project Planning And Management, University of Nairobi.
20. Mlambo, V., Khuwayo, N.N. 2021. COVID-19, food insecurity and a government response: reflections from south Africa. Technium Social Sciences Journal, 19: 1-14.
21. Motemed, M.K., Pourkand, Sh. 2011. Productivity of production factors in broilers production: case study of Gilan Province. Agricultural Ecinimics Resesrch. 3(12): 97/114.
22. Nasrollahi, M., Asgharizadeh, E. 2019. Identification and prioritization of criteria affecting the productivity of production factors in broiler industry using Fuzzy Best-Worst method: a case study of West Azerbaijan province of Iran. Agricultural Economics and Development. 27(106): 237-261.
23. OECD/FAO. 2020. OECD-FAO Agricultural Outlook, OECD Agriculture statistics (database). doi: dx.doi.org/10.1787/agr-outl-data-en
24. Onubuogu, G.C. 2012. factor productivity and efficiency in poultry farming: evidence from broiler production in Imo state, Nigeria. Journal of Agriculture and Food Sciences. 10(1): 1-8.
25. Organiation of Agricultural-Jahad, 2010. Status of the country's livestock and poultry industry.
26. Pun, K.F., Hosein, A. 2007. Identification of performance indicators for poultry agribusiness operations. The Asian Journal on Quality, 8(3): 11–22.
27. Romero, L.F., Zuidhof, M.J., Jeffrey, S.R. Renema, R.A., Robinson F.E. 2010. A data envelope analysis to assess factors affecting technical and economic efficiency of individual broiler breeder hens. Poultry Science, 89(8): 1769-1777.
28. Sadat saei, f., Dashti, Gh., Sani, F. 2021. Comparison and analysis of total factor productivity of broiler chicken productions in Iran: The Application of Fare-Primont Index. Animal Science Research. 2(31): 71-86.
29. Salehi, R., Asaadi, M. A., Rahimi, M. H., Mehrabi, A. 2021. The information technology barriers in supply chain of sugarcane in Khuzestan province, Iran: A combined ANP-DEMATEL approach. Information Processing in Agriculture, 8(3): 458-468.
30. Shaikh, A.S. Zala, Y.C. 2011. Production performance and economic appraisal of broiler farms in anand district of Gujarat. Agricultural Economics Research Review, 24(2): 317-323.
31. Shieh, J. I., Wu, H. H., Huang, K. K. 2010. A DEMATEL method in identifying key success factors of hospital service quality. Knowledge-Based Systems, 23(3): 277-282.
32. Statistical Center of Iran . 2020. Statistical Center of Iran.https://www.amar.org.ir/english .
33. Unang, I.R. 2003. Profitability and efficiency of the broiler industry in Tasikmalaya. M.Sc thesis, Faculty of Agriculture, University of Siliwangi Tasikmalaya.
34. Yusuf, S. A., Malomo, O. 2007. Technical efficiency of poultry egg production in Ogun state a DEA approach. International Journal of Poultry Science, 6(9), 622-629
35. Zamani, O., Bittmann, T., Loy, J.P. 2019. Demand peaks and cost pass-through: The case of Iran's poultry market. Agribusiness, 35, 657–674.
36. Zamani, O., Bittmann, T., Loy, J.P. 2021. The role of temperature for seasonal market integration: a case study of poultry in Iran. Agricultural and Resource Economics, 59: 1-29.
37. Zhang, W., Deng, Y. 2019. Combining conflicting evidence using the DEMATEL method. Soft Comput, 23, 8207–8216.
38. Zhou, X., Shi, Y., Deng, X., Deng, Y. 2017. D-DEMATEL: A new method to identify critical success factors in emergency management. Safety science, 91: 93-104.