Journals / Turkish Journal of Veterinary and Animal Sciences / 2017 / Cilt: 41 - Sayı: 2

Modelling beef consumption in Turkey: the ARDL/bounds test approach

Pages
255–264
Publication Date
2017-04-19
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In addition, the empirical findings indicate that chicken meat prices and per capita income level have a positive effect on beef consumption.

📌 3 Key Takeaways

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Objective & Hypothesis:The study aimed to examine the short-run and long-run relationship between beef consumption and beef prices, chicken meat prices, and per capita income for the period of 1994?2014 in Turkey by employing the ARDL/bounds test approach.
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Key Findings & Data:After deciding on the presence of cointegration between the related variables, a parsimonious VECM model was estimated to conduct the structural analyses of the impulse response function and variance decomposition.
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Conclusion & Impact:In addition, the empirical findings indicate that chicken meat prices and per capita income level have a positive effect on beef consumption.
🔬Design:Modeling & Simulation
📍Scope:2014 Verileri
⚙️Variables:Beef consumption · cointegration analysis · impulse response function

Abstract

The study aimed to examine the short-run and long-run relationship between beef consumption and beef prices, chicken meat prices, and per capita income for the period of 1994?2014 in Turkey by employing the ARDL/bounds test approach. After deciding on the presence of cointegration between the related variables, a parsimonious VECM model was estimated to conduct the structural analyses of the impulse response function and variance decomposition. The results of the bounds test suggest a long-run equilibrium relationship between beef consumption and its selected determinants. In addition, the empirical findings indicate that chicken meat prices and per capita income level have a positive effect on beef consumption. The results of variance decomposition reveal that the portion of beef prices in explaining beef consumption is large, whereas chicken meat prices have decreasing impact and income level has increasing impact on beef consumption in the long run. The results of the impulse response function are also consistent with the theory. The findings suggest that beef consumption is sensitive to beef prices and responds negatively to a shock in beef prices.

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Cite This Article

ERDOĞDU, H., ÇİÇEK, H. (2017). Modelling beef consumption in Turkey: the ARDL/bounds test approach. Turkish Journal of Veterinary and Animal Sciences, Cilt: 41 - Sayı: 2, 255–264. https://ajindex.com/articles/121549

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References (9)

  1. GTHB. Gıda Tarım ve Hayvancılık Bakanlığı, Hayvancılık Genel Müdürlüğü, Kırmızı et stratejisi. Ankara, 2015 (in Turkish). BESD-BİR. Beyaz Et Sanayicileri ve Damızlıkçıları Birliği Derneği, Piliç eti sektör raporu (üretim, tüketim, dış ticaret, sorunlar, görüşler). Ankara, 2014 (in Turkish). TÜİK. Türkiye İstatistik Kurumu, Kırmızı et üretimi, tarımsal fiyat, dış ticaret, ulusal gelir istatistikleri. Ankara, 24 December 2015. Available at http://www.tuik.gov.tr/PreTabloArama. do?metod=search&araType=vt. A kbay C, Bilgiç A, Miran B. Türkiye’de önemli gıda ürünlerinin talep esneklikleri. Tarım Ekonomisi Dergisi 2008; 14: 55-65 (article in Turkish with an English abstract). Bilgic A, Yen ST. Demand for meat and dairy products by Turkish households: a bayesian censored system approach. Agr Econ 2014; 45: 117-127.
  2. Armağan G, Akbay C. An econometric analysis of urban households’ animal products consumption in Turkey. Appl Econ 2008; 40: 2029-2036.
  3. Aadland D, Bailey DV, Feng S. A theoretical and empirical investigation of the supply response in the U.S. beef-cattle industry. Economic Research Institute Study Papers 2000; 188: 1-38.
  4. Sulgham A, Zapata H. A dynamic approach to estimate theoretically consistent US meat demand system. Annual Meeting of American Agricultural Economics Association, 2006.
  5. Kunova D, Bielik P. The modelling of meat consumption in Slovakia. ŽEMĖS ŪKIO MOKSLAI 2007; 181-183.
  6. Antonova M, Zeller M. A time-series analysis of the beef supply response in Russia: implications for agricultural sector development policies. 104th Seminar, Budapest, Hungary. European Association of Agricultural Economists, 2007.
  7. Gosalamang DS, Belete A, Hlongwane JJ, Masuku M. Econometric analysis of supply response among beef farmers in Botswana. African Journal of Agricultural Research 2010; Vol 7, No 31. Ndayitwayeko WM, Odhiambo MO, Nyangweso PM, Korir MK. Determinants of beef meat supply in Burundi: A Vector Error Correction Model Approach Applied to structural Nerlov Paradigm. Eighth AFMA Congress, African Farm Management Association (AFMA), 2012.
  8. Dagdemir V, Demir O, Keskin A. Estimation of supply and demand models for chicken meat in Turkey. J Appl Anim Res 2004; 25: 45-48.
  9. Hatırlı SA, Öztürk E, Aktaş AR. An analysis of demand of red meat, fish and chicken using full demand system approach. Süleyman Demirel Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 2007; 6: 211-221 (article in Turkish with an English abstract). Yavuz F, Bilgic A, Terin M, Guler IO. Policy