Research Article
Year 2023,
Volume: 70 Issue: 4, 359 - 366, 29.09.2023
Abstract
References
- Ahumada H, Cornejo M (2016): Forecasting food prices: the case of corn, soybeans and wheat. Int J Forecast, 32, 838-848.
- Akın AC, Arıkan MS, Polat M, et al (2022): Examining the production amount of milk and dairy products using network analysis in Turkey. Food Sci Technol Campinas, 42, e125821.
- Akın AC, Tekindal M, Arıkan M, et al (2020): Modelling of the milk supplied to the industry in Turkey through box-jenkins and winters' exponential smoothing methods. Vet Hek Der Derg, 91, 49-60.
- Akın AC, Cevrimli MB, Arıkan MS, et al (2019): Determination of the causal relationship between beef prices and the consumer price index in Turkey. Turk J Vet Anim Sci, 43, 353-358.
- Arıkan MS, Çevrimli MB, Akın AC, et al (2019): Determining the change in retail prices of veal in Turkey by GARCH method between 2014-2017. Kafkas Üniv Vet Fak Derg, 25, 499-505.
- Arıkan MS, Çevrimli MB, Akın AC, et al (2019): Cointegration analysis of broiler meat and broiler feed prices in Turkey. Eurasian J Vet Sci, 35, 210-216.
- Aydin E, Aral Y, Can MF, et al (2011): Analysis of the red meat price changes over the last 25 years and effects of import decisions in Turkey. Vet Hek Der Derg, 82, 3-13.
- Bang-Jensen J, Gutin G (2002): Digraphs: Theory, Algorithms and Applications. London: Springer–Verlag. London Ltd.
- Benk H, Kösekahyaoğlu L (2018): Türkiye’de döviz kurundan enflasyona geçişkenlik etkisi: 2005-2018 dönemi üzerine bir inceleme. Uyg Sos Bil ve Güzel San Derg, 1, 110-126.
- Berger J, Dalheimer B, Brümmer B (2021): Effects of variable EU import levies on corn price volatility. Food Policy, 102063.
- BESD-BİR (2014): Tavuk Eti Sektör Raporu Beyaz Et Sanayicileri ve Damızlıkçıları Birliği Derneği.
- Bigras-Poulin M, Thompson RA, Chriél M, et al (2006): Network analysis of Danish cattle industry trade patterns as an evaluation of risk potential for disease spread. Prev Vet Med, 76, 11-39.
- Borgatti SP (2004): Centrality and network flow. Social Networks, 27, 55–71.
- Boudin F (2013): A Comparison of Centrality Measures for Graph-Based Keyphrase Extraction. 834–838. International Joint Conference on Natural Language Processing (IJCNLP).
- Brandes U (2001): A faster algorithm for betweenness centrality. J Math Sociol, 25, 163–177.
- CBRT (2021): Indicative Exchange Rates, Central Bank of the Republic of Turkey. Available at: https://www.tcmb. gov.tr/wps/wcm/connect/EN/TCMB+EN/Main+Menu/Statistics/Exchange+Rates/Indicative+Exchange+Rates. (Accessed Oct 05, 2021).
- Conforti P (2004): Price transmission in selected agricultural markets. FAO Commodity and Trade Policy Research Working Paper No. 7, Basic Foodstuffs Service (ESCB) Commodities and Trade Division, 19, Available at http://www.fao.org/3/j2730e/j2730e00.htm#Contents. (Accessed Oct 20, 2021).
- Çınar G, Keskin B (2018): The spillover effect of imported inputs on broiler prices in Turkey. New Medit, 17, 37-47.
- Çıplak U, Yücel M (2004): Trade Protection Measures. Agricultural and Food Prices. Research and Monetary Policy Department No: 04/01, Central Bank of the Republic of Turkey.
- Çiçek H, Doğan İ (2018): Türkiye’de canlı sığır ve sığır eti ithalatındaki gelişmeler ve üretici fiyatlarının trend modelleri ile incelenmesi. Kocatepe Vet J, 11, 1-10.
- Erdal G, Esengün K, Erdal H (2008): Türkiye’de tarim ve gida ürünleri fiyatlarindaki belirsizliğin enflasyon üzerindeki etkileri. KMU İİBF Dergisi, 10, 65-79.
- Eşidir A, Pirim L (2013): Kanatlı hayvancılık sektör raporu. Fırat Kalkınma Ajansı. Available at http://www.fka.org.tr/ContentDownload/Kanatl%C4%B1%20Hayvanc%C4%B1l%C4%B1k%20Sekt%C3%B6r%20Raporu.pdf. (Accessed Dec 10, 2021).
- Etienne XL, Trujillo-Barrera A, Hoffman LA (2017): Volatility spillover and time-varying conditional correlation between DDGS, corn, and soybean meal markets. Agric Econ Res Rev, 46, 529-554.
- Field A (2000): Discovering statistics using SPSS for Windows. London – Thousand Oaks – New Delhi, Sage Publications.
- Fould, LR (1992): Graph Theory Applications. New York: Springer–Verlag.
- Fruchterman TM, Reingold EM (1991): Graph drawing by force‐directed placement. Software: Practice and Experience, 21, 1129-1164.
- GDMMBs (2021): General Directory of Meat and Milk Board. Weekly Meat Price Bulletin. Available at: https://www.esk.gov.tr/. (Accessed Oct 20, 2021).
- JASP (2020): JASP (Version 0.14.1.0) [Computer software]. Retrieved from https://jasp-stats.org.
- Kaygısız F, Sezgin FH (2017): Forecasting goat milk production in turkey using artificial neural networks and box-jenkins models. Anim Rev, 4, 45-52.
- Kıymaz T (2015): Dünya ile Türkiye’deki tarimsal ürün fiyatlari arasindaki etkileşimin incelenmesi–kriz ve kuraklik etkileri. In EY International Congress on Economics II (EYC2015), November 5-6, Ankara, Turkey (No. 244). Ekonomik Yaklasim Association.
- Küçükoflaz M, Akçay A, Çelik E, et al (2019): Türkiye’de kırmızı et ve süt fiyatlarının Box-Jenkins modeller ile geleceğe yönelik kestirimleri. Vet Hek Der Derg, 90, 122-131.
- Lowes S, Lin P, Wang Y (2006): Studying the effectiveness of the discussion forum in online professional development courses. In Paper presented at the American Educational Research Association (AERA) annual meeting San Francisco, CA.
- Mat B, Arıkan MS, Çevrimli MB, et al (2020): Causality analysis of the factors affecting the consumer price of veal: The case of Turkey. Sustainability, 12, 6257.
- Mat B, Arıkan MS, Çevrimli MB, et al (2021): Factors affecting the price of raw milk in Turkey using panel data analysis. Ciência Rural, 51.
- Mekonnen GA, Ameni G, Wood JL, et al (2019): Network analysis of dairy cattle movement and associations with bovine tuberculosis spread and control in emerging dairy belts of Ethiopia. BMC Vet Res, 15, 1-14.
- Pinior B, Konschake M, Platz U, et al (2012): The trade network in the dairy industry and its implication for the spread of contamination. Int J Dairy Sci, 95, 6351-6361.
- Rhemtulla M, Fried EI, Aggen SH, et al (2016): Network analysis of substance abuse and dependence symptoms. Drug Alc Dep, 161, 230-237.
- Saramäki J, Kivelä M, Onnela J, et al (2007): Generalizations of the clustering coeffic ient to weighted complex networks. Phy Rev E, 75, 27–105.
- Sariözkan S (2006): Türkiye’de hayvansal ürün fiyatlari ve girdi maliyetleri (1995-2004). Erciyes Üniv Vet Fak Derg, 3, 105-110.
- Sinha R, Mihalcea R (2007): Unsupervised graph-based word sense disambiguation using measures of Word semantic similarity, 363–369. In: ICSC 2007 International Conference on Semantic Computing.
- Sun Q, Gao X, Wen S, et al (2018): The transmission of fluctuation among price indices based on Granger causality network. Phys A Stat Mech Appl, 506, 36-49.
- TFIA (2021): Turkey feed statistics. Turkish Feed Industrialists Association. Available at: http://www.yem. org.tr/Birligimiz/ istatistikler. (Accessed Oct 10, 2021).
- TSI (2021): Annual Industrial Product Statistics. Available at: https://biruni.tuik.gov.tr/medas/?kn=210&locale=tr. (Accessed Oct 20, 2021).
- TSI (2021): Agricultural price statistics, Turkish Statistical Institute. Available at: https://biruni.tuik.gov.tr/medas/?kn = 110&locale =tr. (Accessed Nov 20, 2021).
- Ubilava D (2017): The ENSO effect and asymmetries in wheat price dynamics. World Development, 96, 490-502.
- USDA (2016): Livestock and Poultry: World Markets and Trade. United States Department of Agriculture Service.
- Watts DJ, Strogatz SH (1998): Collective dynamics of “small-world” networks. Nature, 393, 440–442.
- Wolf CA (2012): Dairy farmer use of price risk management tools. J Dairy Sci, 95, 4176-4183.
Determining the variables affecting the prices of animal products by the network analysis in Türkiye
Abstract
Recently, Türkiye has seen significant increases in animal products and input prices. These recent increases in prices have made it even more important to examine the prices of animal products and their associated factors. This study aimed to reveal the pattern network structure and characteristics of the prices of animal products and related variables for the 2010-2020 period in Türkiye. For this aim, a network analysis covered the prices of animal products, input prices used in producing these foods, and some economic variables. The study results revealed that Producer Price Index (PPI) and Agricultural PPI are key variables that are highly active in the network and act as a bridge between other unconnected variables. In addition, the results of the analysis suggest that the overall network consists of highly correlated variables and that the PPI and Agricultural PPI are the two most important variables. As a result, the pattern network structure shows that economic variables have a high impact on the prices of animal products. The network structure visualizes Türkiye's import-substitution model in animal production and foreign dependency on feed inputs, and the market structure affected by high exchange rates. In addition, as can be understood from the positive connections between feed inputs, the pattern network of the variables affecting the prices of animal products is largely shaped by feed prices and the internal dynamics of economic variables.
Ethical Statement
This study does not present any ethical concerns.
References
- Ahumada H, Cornejo M (2016): Forecasting food prices: the case of corn, soybeans and wheat. Int J Forecast, 32, 838-848.
- Akın AC, Arıkan MS, Polat M, et al (2022): Examining the production amount of milk and dairy products using network analysis in Turkey. Food Sci Technol Campinas, 42, e125821.
- Akın AC, Tekindal M, Arıkan M, et al (2020): Modelling of the milk supplied to the industry in Turkey through box-jenkins and winters' exponential smoothing methods. Vet Hek Der Derg, 91, 49-60.
- Akın AC, Cevrimli MB, Arıkan MS, et al (2019): Determination of the causal relationship between beef prices and the consumer price index in Turkey. Turk J Vet Anim Sci, 43, 353-358.
- Arıkan MS, Çevrimli MB, Akın AC, et al (2019): Determining the change in retail prices of veal in Turkey by GARCH method between 2014-2017. Kafkas Üniv Vet Fak Derg, 25, 499-505.
- Arıkan MS, Çevrimli MB, Akın AC, et al (2019): Cointegration analysis of broiler meat and broiler feed prices in Turkey. Eurasian J Vet Sci, 35, 210-216.
- Aydin E, Aral Y, Can MF, et al (2011): Analysis of the red meat price changes over the last 25 years and effects of import decisions in Turkey. Vet Hek Der Derg, 82, 3-13.
- Bang-Jensen J, Gutin G (2002): Digraphs: Theory, Algorithms and Applications. London: Springer–Verlag. London Ltd.
- Benk H, Kösekahyaoğlu L (2018): Türkiye’de döviz kurundan enflasyona geçişkenlik etkisi: 2005-2018 dönemi üzerine bir inceleme. Uyg Sos Bil ve Güzel San Derg, 1, 110-126.
- Berger J, Dalheimer B, Brümmer B (2021): Effects of variable EU import levies on corn price volatility. Food Policy, 102063.
- BESD-BİR (2014): Tavuk Eti Sektör Raporu Beyaz Et Sanayicileri ve Damızlıkçıları Birliği Derneği.
- Bigras-Poulin M, Thompson RA, Chriél M, et al (2006): Network analysis of Danish cattle industry trade patterns as an evaluation of risk potential for disease spread. Prev Vet Med, 76, 11-39.
- Borgatti SP (2004): Centrality and network flow. Social Networks, 27, 55–71.
- Boudin F (2013): A Comparison of Centrality Measures for Graph-Based Keyphrase Extraction. 834–838. International Joint Conference on Natural Language Processing (IJCNLP).
- Brandes U (2001): A faster algorithm for betweenness centrality. J Math Sociol, 25, 163–177.
- CBRT (2021): Indicative Exchange Rates, Central Bank of the Republic of Turkey. Available at: https://www.tcmb. gov.tr/wps/wcm/connect/EN/TCMB+EN/Main+Menu/Statistics/Exchange+Rates/Indicative+Exchange+Rates. (Accessed Oct 05, 2021).
- Conforti P (2004): Price transmission in selected agricultural markets. FAO Commodity and Trade Policy Research Working Paper No. 7, Basic Foodstuffs Service (ESCB) Commodities and Trade Division, 19, Available at http://www.fao.org/3/j2730e/j2730e00.htm#Contents. (Accessed Oct 20, 2021).
- Çınar G, Keskin B (2018): The spillover effect of imported inputs on broiler prices in Turkey. New Medit, 17, 37-47.
- Çıplak U, Yücel M (2004): Trade Protection Measures. Agricultural and Food Prices. Research and Monetary Policy Department No: 04/01, Central Bank of the Republic of Turkey.
- Çiçek H, Doğan İ (2018): Türkiye’de canlı sığır ve sığır eti ithalatındaki gelişmeler ve üretici fiyatlarının trend modelleri ile incelenmesi. Kocatepe Vet J, 11, 1-10.
- Erdal G, Esengün K, Erdal H (2008): Türkiye’de tarim ve gida ürünleri fiyatlarindaki belirsizliğin enflasyon üzerindeki etkileri. KMU İİBF Dergisi, 10, 65-79.
- Eşidir A, Pirim L (2013): Kanatlı hayvancılık sektör raporu. Fırat Kalkınma Ajansı. Available at http://www.fka.org.tr/ContentDownload/Kanatl%C4%B1%20Hayvanc%C4%B1l%C4%B1k%20Sekt%C3%B6r%20Raporu.pdf. (Accessed Dec 10, 2021).
- Etienne XL, Trujillo-Barrera A, Hoffman LA (2017): Volatility spillover and time-varying conditional correlation between DDGS, corn, and soybean meal markets. Agric Econ Res Rev, 46, 529-554.
- Field A (2000): Discovering statistics using SPSS for Windows. London – Thousand Oaks – New Delhi, Sage Publications.
- Fould, LR (1992): Graph Theory Applications. New York: Springer–Verlag.
- Fruchterman TM, Reingold EM (1991): Graph drawing by force‐directed placement. Software: Practice and Experience, 21, 1129-1164.
- GDMMBs (2021): General Directory of Meat and Milk Board. Weekly Meat Price Bulletin. Available at: https://www.esk.gov.tr/. (Accessed Oct 20, 2021).
- JASP (2020): JASP (Version 0.14.1.0) [Computer software]. Retrieved from https://jasp-stats.org.
- Kaygısız F, Sezgin FH (2017): Forecasting goat milk production in turkey using artificial neural networks and box-jenkins models. Anim Rev, 4, 45-52.
- Kıymaz T (2015): Dünya ile Türkiye’deki tarimsal ürün fiyatlari arasindaki etkileşimin incelenmesi–kriz ve kuraklik etkileri. In EY International Congress on Economics II (EYC2015), November 5-6, Ankara, Turkey (No. 244). Ekonomik Yaklasim Association.
- Küçükoflaz M, Akçay A, Çelik E, et al (2019): Türkiye’de kırmızı et ve süt fiyatlarının Box-Jenkins modeller ile geleceğe yönelik kestirimleri. Vet Hek Der Derg, 90, 122-131.
- Lowes S, Lin P, Wang Y (2006): Studying the effectiveness of the discussion forum in online professional development courses. In Paper presented at the American Educational Research Association (AERA) annual meeting San Francisco, CA.
- Mat B, Arıkan MS, Çevrimli MB, et al (2020): Causality analysis of the factors affecting the consumer price of veal: The case of Turkey. Sustainability, 12, 6257.
- Mat B, Arıkan MS, Çevrimli MB, et al (2021): Factors affecting the price of raw milk in Turkey using panel data analysis. Ciência Rural, 51.
- Mekonnen GA, Ameni G, Wood JL, et al (2019): Network analysis of dairy cattle movement and associations with bovine tuberculosis spread and control in emerging dairy belts of Ethiopia. BMC Vet Res, 15, 1-14.
- Pinior B, Konschake M, Platz U, et al (2012): The trade network in the dairy industry and its implication for the spread of contamination. Int J Dairy Sci, 95, 6351-6361.
- Rhemtulla M, Fried EI, Aggen SH, et al (2016): Network analysis of substance abuse and dependence symptoms. Drug Alc Dep, 161, 230-237.
- Saramäki J, Kivelä M, Onnela J, et al (2007): Generalizations of the clustering coeffic ient to weighted complex networks. Phy Rev E, 75, 27–105.
- Sariözkan S (2006): Türkiye’de hayvansal ürün fiyatlari ve girdi maliyetleri (1995-2004). Erciyes Üniv Vet Fak Derg, 3, 105-110.
- Sinha R, Mihalcea R (2007): Unsupervised graph-based word sense disambiguation using measures of Word semantic similarity, 363–369. In: ICSC 2007 International Conference on Semantic Computing.
- Sun Q, Gao X, Wen S, et al (2018): The transmission of fluctuation among price indices based on Granger causality network. Phys A Stat Mech Appl, 506, 36-49.
- TFIA (2021): Turkey feed statistics. Turkish Feed Industrialists Association. Available at: http://www.yem. org.tr/Birligimiz/ istatistikler. (Accessed Oct 10, 2021).
- TSI (2021): Annual Industrial Product Statistics. Available at: https://biruni.tuik.gov.tr/medas/?kn=210&locale=tr. (Accessed Oct 20, 2021).
- TSI (2021): Agricultural price statistics, Turkish Statistical Institute. Available at: https://biruni.tuik.gov.tr/medas/?kn = 110&locale =tr. (Accessed Nov 20, 2021).
- Ubilava D (2017): The ENSO effect and asymmetries in wheat price dynamics. World Development, 96, 490-502.
- USDA (2016): Livestock and Poultry: World Markets and Trade. United States Department of Agriculture Service.
- Watts DJ, Strogatz SH (1998): Collective dynamics of “small-world” networks. Nature, 393, 440–442.
- Wolf CA (2012): Dairy farmer use of price risk management tools. J Dairy Sci, 95, 4176-4183.
There are 48 citations in total.
Details
| Primary Language | English |
|---|---|
| Subjects | Animal Health Economics and Management, Animal Science, Genetics and Biostatistics |
| Journal Section | Research Article |
| Authors | |
| Publication Date | September 29, 2023 |
| Published in Issue | Year 2023Volume: 70 Issue: 4 |
