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Year 2020, , 143 - 152, 03.03.2020

Mustafa Bahadır Çevrimli , Mehmet Saltuk Arıkan Mustafa Agah Tekindal

https://doi.org/10.33988/auvfd.570790
Cited By: 3

Abstract

References

  • 1. Akaike HA (1974): A new look at the statistical model identification. 215-222. In: Selected Papers of Hirotugu Akaike, Springer, New York.
  • 2. Akdi Y (2012): Zaman Serileri Analizi (Birim Kökler ve Kointegrasyon). Gazi Kitabevi, 2. Baskı, Ankara.
  • 3. Arıkan MS, Çevrimli MB, Mat B, et al (2018): Price forecast for farmed and captured trout using box-jenkins method and 2009-2017. 79-90. In: Academic Studies in Health Sciences. Gece Publishing, Ankara.
  • 4. Batt PJ, Liu A (2012): Consumer behaviour towards honey products in Western Australia. BFJ, 114, 285-297.
  • 5. Box GEP, Jenkins GM, Reinsel GC, et al (2015): Time Series Analysis: Forecasting and Control. 5th Edition, John Wiley & Sons, USA.
  • 6. Burucu V, Gülse Bal HS (2017): Türkiye’de arıcılığın mevcut durumu ve bal üretim öngörüsü. Tar Eko Der, 3, 28-37.
  • 7. Cejvanovic F, Grgic Z, Maksimovic A, et al (2017): Assumptions of economic model for sustainable productions of beekeeping in the Bosnia and Hercegovina. JASTA, 5, 481-485, 2011.
  • 8. Chatfield C, Yar M (1998): Holt‐Winters forecasting: some practical issues. The Statistician, 37, 129-140.
  • 9. Çelik Ş (2015): Modelling of honey production by using time series in Turkey. SAUJS, 19, 377-382.
  • 10. Çevrimli MB, Sakarya E (2018): Türkiye arıcılık sektöründe mevcut durum, sorunlar ve çözüm önerileri. Erciyes Üniv Vet Fak Derg, 15, 58-67.
  • 11. Çevrimli MB, Sakarya E (2019): Economic analysis of beekeeping enterprises in Aegean Region, Turkey. Ankara Univ Vet Fak Derg, 66, 109-115.
  • 12. FAOSTAT (2018): Food and Agriculture Organization of the United Nations Statistics Division. Beekeping statictics. Available at http://faostat3.fao.org/download/Q/*/E. (Accessed Sept 07, 2018).
  • 13. FAOSTAT (2019): Food and Agriculture Organization of the United Nations Statistics Division. Crops and Livestock Statictics. Available at http://faostat3.fao.org/download/Q/*/E. (Accessed Aug 29, 2019)
  • 14. Gujarati DN (2009): Temel Ekonometri. 6.Baskı, Literatür Yayıncılık, İstanbul.
  • 15. IBM Corp. Released (2013): IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY: IBM Corp.
  • 16. Kaymaz Ö (2018): Forecasting of commercial egg production in Turkey with box-jenkins and winter’s exponential smoothing methods. Eurasian J Vet Sci, 34, 142-149.
  • 17. Kaymaz Ö, Tekindal MA, Ateş C, et al (2018): Power analysis and sample size determination in log-rank (lakatos) test. Biostat Biometrics Open Acc J, 6, 1-4.
  • 18. Koç B, Terin M, Ceylan M, et al (2010): General situation of beekeeping in the Eastern Anatolian Region of Turkey and ARIMA model with the help of long-term analysis. AJAVA, 5, 537-546.
  • 19. Kos Skubic M, Erjavec K, Klopčič M (2018): Consumer preferences regarding national and EU quality labels for cheese, ham and honey: The case of Slovenia. BFJ, 120, 650-664.
  • 20. Ma L (2009): International comparison of the export competitiveness of Chinese honey. Asian Agric Res, 1, 17-20.
  • 21. Menozzi D, Mora C, Chryssochoidis G, et al (2010): Traceability, quality and food safety in consumer perception, ECAG, 12, 137-158.
  • 22. Ören MN, Alemdar T, Parlakay O, et al (2011): Adana İlinde Arıcılık Faaliyetinin Ekonomik Analizi. Ankara: Tarımsal Ekonomi Araştırma Enstitüsü (TEAE) Publication number:178.
  • 23. Parlakay O, Yılmaz H, Yaşar B, et al (2018): The situation of beekeeping in Turkey and the future expectations by the trend analysis method. Bursa Uludağ Üniv Ziraat Fak Derg, 22, 17-24.
  • 24. RTMD (2013): Republic of Turkey Ministry of Development, 10th Development Plan 2014-2018. Special report on livestock commission, Ankara, Turkey. Available at http://www.sbb.gov.tr/wp-content/uploads/2018/10/10_Hayvancilik.pdf. (Accessed June 07, 2019)
  • 25. Saner G, Engindeniz S, Çukur F et al (2005): İzmir ve Muğla illerinde faaliyet gösteren arıcılık işletmelerinin teknik ve ekonomik yapısı ile sorunların üzerine bir araştırma. T.C. Tarım ve Köyişleri Bakanlığı Tarımsal Ekonomi Araştırma Enstitüsü, Yayın No:126, ISBN: 975-407-169-1, Ankara.
  • 26. Saner G, Adanacıoğlu H, Naseri Z (2018): Forecasting Honey Supply and Demand in Turkey. TJAE, 24, 43-51.
  • 27. Schwert GW (1989): Tests for Unit Roots: A Monte Carlo Investigation. J Bus Econ Stat, 7, 147-160.
  • 28. Semerci A (2017): Overall situation of beekeeping in Turkey and future prospects. MKUTBD, 22, 107-118.
  • 29. SERKA (2012): Serhat Kalkınma Ajansı. Ardahan Kafkas Arı Irkı ve Arıcılık Çalıştayı Sektör Raporu; 58-59 Kars, Türkiye.
  • 30. Šimpach O (2012): Statistical view of the current situation of beekeeping in the Czech Republic. In: The 6th International Days of Statistics and Economics, Sep 13-15, Czech Republic.
  • 31. Tekin ME, Tekindal MA (2019): Optimum sample size in group comparisons in animal breeding researches with simulation study. JSTR, 5, 279-286.
  • 32. Tekindal MA, Güllü Ö, Yazıcı AC, et al (2016): The modelling of time-series and the evaluation of forecasts for the future: the case of the number of persons per physician in Turkey between 1928 and 2010. Biomed Res, 27, 965-971.
  • 33. Temuçin T, Temiz İ (2016): Türkiye dış ticaret ihracat hacminin projeksiyonu: holt-winters ve box, jenkins modellerinin bir kıyaslaması. SDÜ İİBF Dergisi, 21, 937-960.
  • 34. Terin M, Yıldırım İ, Aksoy A, et al (2018): Competition power of Turkey’s honey export and comparison with Balkan Countries. Bulg J Agric Sci, 24, 17-22.
  • 35. TURKSTAT (2019): Turkey Statistical Institute Livestock statistics database. Available at https://biruni.tuik.gov.tr/hayvancili-kapp/hayvancilik.zul. (Accessed Jan 05, 2019).
  • 36. TURKSTAT (2019): Turkey Statistical Institute. Agricultural price statistics database. Available at https://biruni.tuik.gov.tr/medas/?kn=110&locale=tr. (Accessed Feb 22, 2019).
  • 37. Wei GX, Huang JK, Jun Y (2012): Honey safety standards and its impacts on China's honey export. JIA, 11, 684-693.
  • 38. Wickramarachchi AR, Herath HMLK, Jayasinghe-Mudalige UK, et al (2017): An analysis of price behavior of major poultry products in Sri Lanka. JAS Sri Lanka, 12, 138-148.
  • 39. Yenice S, Tekindal MA (2015): Forecasting the stock indexes of fragile five countries through box-jenkins methods. IJBSS, 6,180-191.

Honey price estimation for the future in Turkey; example of 2019- 2020

Year 2020, , 143 - 152, 03.03.2020

Mustafa Bahadır Çevrimli , Mehmet Saltuk Arıkan Mustafa Agah Tekindal

https://doi.org/10.33988/auvfd.570790
Cited By: 3

Abstract

The purpose of the present study is to develop models for the time series data of honey prices in Turkey between 1998 and 2018 using Box-Jenkins and Winter's Exponential Smoothing methods and to evaluate the TRY- and US$-denominated forecasts made using such models for 2019-2020. The method employed to analyse the time series data is the Seasonal Auto Regressive Integrated Moving Average (SARIMA). The most suitable model to forecast the honey prices was found to be SARIMA (2,1,2)(1,0,1) for TRY-denominated prices and SARIMA (0,1,3)(0,0,0) for US$-denominated prices. It was forecast that the average price of 1 kg of honey would be 49.08 TRY/6.15 US$ at the end of 2020. Since the study will provide beekeepers with information on future prices, it will help them better plan their production activities. The price forecasts in this study will be useful for producers and those involved in sale of honey with respect to prediction of how the honey prices will change in the years to come.

Keywords

Forecasting honey time series Turkey

References

  • 1. Akaike HA (1974): A new look at the statistical model identification. 215-222. In: Selected Papers of Hirotugu Akaike, Springer, New York.
  • 2. Akdi Y (2012): Zaman Serileri Analizi (Birim Kökler ve Kointegrasyon). Gazi Kitabevi, 2. Baskı, Ankara.
  • 3. Arıkan MS, Çevrimli MB, Mat B, et al (2018): Price forecast for farmed and captured trout using box-jenkins method and 2009-2017. 79-90. In: Academic Studies in Health Sciences. Gece Publishing, Ankara.
  • 4. Batt PJ, Liu A (2012): Consumer behaviour towards honey products in Western Australia. BFJ, 114, 285-297.
  • 5. Box GEP, Jenkins GM, Reinsel GC, et al (2015): Time Series Analysis: Forecasting and Control. 5th Edition, John Wiley & Sons, USA.
  • 6. Burucu V, Gülse Bal HS (2017): Türkiye’de arıcılığın mevcut durumu ve bal üretim öngörüsü. Tar Eko Der, 3, 28-37.
  • 7. Cejvanovic F, Grgic Z, Maksimovic A, et al (2017): Assumptions of economic model for sustainable productions of beekeeping in the Bosnia and Hercegovina. JASTA, 5, 481-485, 2011.
  • 8. Chatfield C, Yar M (1998): Holt‐Winters forecasting: some practical issues. The Statistician, 37, 129-140.
  • 9. Çelik Ş (2015): Modelling of honey production by using time series in Turkey. SAUJS, 19, 377-382.
  • 10. Çevrimli MB, Sakarya E (2018): Türkiye arıcılık sektöründe mevcut durum, sorunlar ve çözüm önerileri. Erciyes Üniv Vet Fak Derg, 15, 58-67.
  • 11. Çevrimli MB, Sakarya E (2019): Economic analysis of beekeeping enterprises in Aegean Region, Turkey. Ankara Univ Vet Fak Derg, 66, 109-115.
  • 12. FAOSTAT (2018): Food and Agriculture Organization of the United Nations Statistics Division. Beekeping statictics. Available at http://faostat3.fao.org/download/Q/*/E. (Accessed Sept 07, 2018).
  • 13. FAOSTAT (2019): Food and Agriculture Organization of the United Nations Statistics Division. Crops and Livestock Statictics. Available at http://faostat3.fao.org/download/Q/*/E. (Accessed Aug 29, 2019)
  • 14. Gujarati DN (2009): Temel Ekonometri. 6.Baskı, Literatür Yayıncılık, İstanbul.
  • 15. IBM Corp. Released (2013): IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY: IBM Corp.
  • 16. Kaymaz Ö (2018): Forecasting of commercial egg production in Turkey with box-jenkins and winter’s exponential smoothing methods. Eurasian J Vet Sci, 34, 142-149.
  • 17. Kaymaz Ö, Tekindal MA, Ateş C, et al (2018): Power analysis and sample size determination in log-rank (lakatos) test. Biostat Biometrics Open Acc J, 6, 1-4.
  • 18. Koç B, Terin M, Ceylan M, et al (2010): General situation of beekeeping in the Eastern Anatolian Region of Turkey and ARIMA model with the help of long-term analysis. AJAVA, 5, 537-546.
  • 19. Kos Skubic M, Erjavec K, Klopčič M (2018): Consumer preferences regarding national and EU quality labels for cheese, ham and honey: The case of Slovenia. BFJ, 120, 650-664.
  • 20. Ma L (2009): International comparison of the export competitiveness of Chinese honey. Asian Agric Res, 1, 17-20.
  • 21. Menozzi D, Mora C, Chryssochoidis G, et al (2010): Traceability, quality and food safety in consumer perception, ECAG, 12, 137-158.
  • 22. Ören MN, Alemdar T, Parlakay O, et al (2011): Adana İlinde Arıcılık Faaliyetinin Ekonomik Analizi. Ankara: Tarımsal Ekonomi Araştırma Enstitüsü (TEAE) Publication number:178.
  • 23. Parlakay O, Yılmaz H, Yaşar B, et al (2018): The situation of beekeeping in Turkey and the future expectations by the trend analysis method. Bursa Uludağ Üniv Ziraat Fak Derg, 22, 17-24.
  • 24. RTMD (2013): Republic of Turkey Ministry of Development, 10th Development Plan 2014-2018. Special report on livestock commission, Ankara, Turkey. Available at http://www.sbb.gov.tr/wp-content/uploads/2018/10/10_Hayvancilik.pdf. (Accessed June 07, 2019)
  • 25. Saner G, Engindeniz S, Çukur F et al (2005): İzmir ve Muğla illerinde faaliyet gösteren arıcılık işletmelerinin teknik ve ekonomik yapısı ile sorunların üzerine bir araştırma. T.C. Tarım ve Köyişleri Bakanlığı Tarımsal Ekonomi Araştırma Enstitüsü, Yayın No:126, ISBN: 975-407-169-1, Ankara.
  • 26. Saner G, Adanacıoğlu H, Naseri Z (2018): Forecasting Honey Supply and Demand in Turkey. TJAE, 24, 43-51.
  • 27. Schwert GW (1989): Tests for Unit Roots: A Monte Carlo Investigation. J Bus Econ Stat, 7, 147-160.
  • 28. Semerci A (2017): Overall situation of beekeeping in Turkey and future prospects. MKUTBD, 22, 107-118.
  • 29. SERKA (2012): Serhat Kalkınma Ajansı. Ardahan Kafkas Arı Irkı ve Arıcılık Çalıştayı Sektör Raporu; 58-59 Kars, Türkiye.
  • 30. Šimpach O (2012): Statistical view of the current situation of beekeeping in the Czech Republic. In: The 6th International Days of Statistics and Economics, Sep 13-15, Czech Republic.
  • 31. Tekin ME, Tekindal MA (2019): Optimum sample size in group comparisons in animal breeding researches with simulation study. JSTR, 5, 279-286.
  • 32. Tekindal MA, Güllü Ö, Yazıcı AC, et al (2016): The modelling of time-series and the evaluation of forecasts for the future: the case of the number of persons per physician in Turkey between 1928 and 2010. Biomed Res, 27, 965-971.
  • 33. Temuçin T, Temiz İ (2016): Türkiye dış ticaret ihracat hacminin projeksiyonu: holt-winters ve box, jenkins modellerinin bir kıyaslaması. SDÜ İİBF Dergisi, 21, 937-960.
  • 34. Terin M, Yıldırım İ, Aksoy A, et al (2018): Competition power of Turkey’s honey export and comparison with Balkan Countries. Bulg J Agric Sci, 24, 17-22.
  • 35. TURKSTAT (2019): Turkey Statistical Institute Livestock statistics database. Available at https://biruni.tuik.gov.tr/hayvancili-kapp/hayvancilik.zul. (Accessed Jan 05, 2019).
  • 36. TURKSTAT (2019): Turkey Statistical Institute. Agricultural price statistics database. Available at https://biruni.tuik.gov.tr/medas/?kn=110&locale=tr. (Accessed Feb 22, 2019).
  • 37. Wei GX, Huang JK, Jun Y (2012): Honey safety standards and its impacts on China's honey export. JIA, 11, 684-693.
  • 38. Wickramarachchi AR, Herath HMLK, Jayasinghe-Mudalige UK, et al (2017): An analysis of price behavior of major poultry products in Sri Lanka. JAS Sri Lanka, 12, 138-148.
  • 39. Yenice S, Tekindal MA (2015): Forecasting the stock indexes of fragile five countries through box-jenkins methods. IJBSS, 6,180-191.
There are 39 citations in total.

Details

Primary Language English
Subjects Veterinary Surgery
Journal Section Research Article
Authors

Mustafa Bahadır Çevrimli 0000-0001-5888-242X

Mehmet Saltuk Arıkan 0000-0003-4862-1706

Mustafa Agah Tekindal 0000-0002-4060-7048

Publication Date March 3, 2020
Published in Issue Year 2020

Cite

APA Çevrimli, M. B., Arıkan, M. S., & Tekindal, M. A. (2020). Honey price estimation for the future in Turkey; example of 2019- 2020. Ankara Üniversitesi Veteriner Fakültesi Dergisi, 67(2), 143-152. https://doi.org/10.33988/auvfd.570790
AMA Çevrimli MB, Arıkan MS, Tekindal MA. Honey price estimation for the future in Turkey; example of 2019- 2020. Ankara Univ Vet Fak Derg. March 2020;67(2):143-152. doi:10.33988/auvfd.570790
Chicago Çevrimli, Mustafa Bahadır, Mehmet Saltuk Arıkan, and Mustafa Agah Tekindal. “Honey Price Estimation for the Future in Turkey; Example of 2019- 2020”. Ankara Üniversitesi Veteriner Fakültesi Dergisi 67, no. 2 (March 2020): 143-52. https://doi.org/10.33988/auvfd.570790.
EndNote Çevrimli MB, Arıkan MS, Tekindal MA (March 1, 2020) Honey price estimation for the future in Turkey; example of 2019- 2020. Ankara Üniversitesi Veteriner Fakültesi Dergisi 67 2 143–152.
IEEE M. B. Çevrimli, M. S. Arıkan, and M. A. Tekindal, “Honey price estimation for the future in Turkey; example of 2019- 2020”, Ankara Univ Vet Fak Derg, vol. 67, no. 2, pp. 143–152, 2020, doi: 10.33988/auvfd.570790.
ISNAD Çevrimli, Mustafa Bahadır et al. “Honey Price Estimation for the Future in Turkey; Example of 2019- 2020”. Ankara Üniversitesi Veteriner Fakültesi Dergisi 67/2 (March 2020), 143-152. https://doi.org/10.33988/auvfd.570790.
JAMA Çevrimli MB, Arıkan MS, Tekindal MA. Honey price estimation for the future in Turkey; example of 2019- 2020. Ankara Univ Vet Fak Derg. 2020;67:143–152.
MLA Çevrimli, Mustafa Bahadır et al. “Honey Price Estimation for the Future in Turkey; Example of 2019- 2020”. Ankara Üniversitesi Veteriner Fakültesi Dergisi, vol. 67, no. 2, 2020, pp. 143-52, doi:10.33988/auvfd.570790.
Vancouver Çevrimli MB, Arıkan MS, Tekindal MA. Honey price estimation for the future in Turkey; example of 2019- 2020. Ankara Univ Vet Fak Derg. 2020;67(2):143-52.

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