اقتصاد فضا و توسعه روستایی

اقتصاد فضا و توسعه روستایی

مکانیزم انتقال قیمت در بازار محصولات شیلاتی منتخب (مدل GARCH دو متغیره)

نویسندگان
1 دانشگاه آزاد اسلامی زابل
2 دانشگاه خوارزمی
چکیده
هدف: هدف از این پژوهش بررسی وضعیت انتقال قیمت و سنجش میزان انتقال قیمت بین سطوح عمده و خرده‌فروشی در بازار محصولات شیلاتی بوده است.

روش پژوهش: در این مطالعه با استفاده از مدل گارچ دومتغیره و مدل هوک میزان تقارن و عدم تقارن انتقال قیمت در بازار محصولات شیلاتی منتخب مشتمل بر ماهیان قزل‌آلا، شیر، کپور، حلوا سفید، کیلکا، شوریده، ماهیان سرد آبی، ماهیان گرم آبی و میگو بر اساس داده­ های ماهانه طی سال­های 1398- 1390 مورد بررسی قرار گرفتند.

یافته‌ها: نتایج نشان می­ دهد که فرضیه انتقال متقارن قیمت­ها در کوتاه ­مدت تنها برای ماهیان شیر و شوریده تأیید و برای سایر محصولات رد می­ شود. همچنین فرضیه انتقال نامتقارن قیمت­ها در بلندمدت برای ماهیان قزل‌آلا، شیر و شوریده تأیید و برای سایر محصولات رد می­ شود. همچنین برای ماهیان قزل‌آلا، شیر و شوریده کشش کوتاه‌مدت انتقال قیمت بیشتر از کشش بلندمدت انتقال قیمت است که بیانگر انتقال کامل تغییرات قیمت از سطوح عمده به خرده‌فروشی است. درحالی‌که برای ماهی­ های کیلکا، کپور، حلوا سفید و میگو کشش کوتاه‌مدت انتقال قیمت کمتر از کشش بلندمدت انتقال قیمت است که این یافته با نتایج حاصل از مدل رزیت همخوانی دارد.

نتیجه‌گیری: پیشنهاد می­ شود مسئولین ذی‌ربط برای جلوگیری از تضییع حقوق دو قشر تولیدکننده و مصرف­ کننده تعاونی­های موجود فروش با تولیت و مشارکت واقعی عرضه‌کنندگان و پرورش‌دهندگان نهاده ها و محصولات شیلاتی را با فرهنگ­ سازی، آموزش و دادن امکانات، مورد حمایت قرار دهند تا با خرید به­ موقع و عرضه مستقیم نهاده ­ها و محصولات به مصرف­ کنندگان زمینه صادرات را نیز فراهم آورند که این خود از افزایش حاشیه بازار و نوسانات قیمتی نیز جلوگیری می­ کند.
کلیدواژه‌ها

عنوان مقاله English

Price Transmission Mechanism in the Market of Selected Fishery Products (Bivariate GARCH Model)

نویسندگان English

Mahdi Saravani 1
Hossein Amiri 2
Mohammad Hossein Karim 2
1 Department of Economies, Zabol branch Islamic Azad University, Zabol, Iran
2 Department of Islamic Economic and Banking, Faculty of Economics, Kharazmi University, Tehran
چکیده English

Objective: This study aims to examine price transmission dynamics and assess the extent of price transmission between wholesale and retail levels in the seafood market.

Methods: The study employs the bivariate GARCH model and the Houck model to analyze the symmetry and asymmetry of price transmission in selected seafood markets, including trout, silver pomfret, common carp, white pomfret, anchovy, croaker, cold-water fish, warm-water fish, and shrimp. The analysis is based on monthly data from 2011 to 2019.

Findings: The results indicate that the hypothesis of symmetric price transmission is only confirmed in the short term for silver pomfret and croaker, while it is rejected for other products. Conversely, in the long term, the hypothesis of asymmetric price transmission is confirmed for trout, silver pomfret, and croaker but rejected for the other seafood products. Additionally, for trout, silver pomfret, and croaker, the short-term price transmission elasticity is higher than the long-term elasticity, suggesting that price changes are fully transmitted from the wholesale to the retail level. However, for anchovy, common carp, white pomfret, and shrimp, short-term price transmission elasticity is lower than long-term elasticity, aligning with findings from the Reziti model.

Conclusion: It is recommended that relevant authorities take measures to protect both producers and consumers by supporting existing sales cooperatives. This can be achieved through proper cultural promotion, training, and providing necessary facilities to facilitate timely purchasing and direct distribution of seafood products to consumers. Such actions would not only help stabilize market prices but also create export opportunities and prevent excessive market margins and price fluctuations.

کلیدواژه‌ها English

Price Transmission
Bivariate GARCH
Fishery Products
Degree of Symmetry
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Enders, W., & Granger, C. W. J. (1998). Unit-root tests and asymmetric adjustment with an example using the term structure of interest rates. Journal of Business & Economic Statistics, 16(3), 304-311.
Abounoori, E., & Abdollahi, M. (2012). Modeling Different Sector Volatility of Iran Stock Exchange Using Multivariate GARCH Model. Financial Research Journal, 14(1), 1-16. doi: 10.22059/jfr.2012.36628 (In persian).
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Azzam, A. M. (1999). Asymmetry and rigidity in farm‐retail price transmission. American journal of agricultural economics, 81(3), 525-533.
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Baghestani,A.A & Rahimi, R. (2019).Determination of The Price Transmission Mechanism in Shrimp Market of Iran (Application of Bivariate GARCH Model).Economic Modeling,45,137-157 (In persian).
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Bailey, D., & Brorsen, B. W. (1989). Price asymmetry in spatial fed cattle markets. Western journal of agricultural economics, 246-252.
Frost, D., & Bowden, R. (1999). An Asymmetry Generator for Error-Coorection Mechanisms, With Application to Bank Mortgage-Rate Dynamics. Journal of Business & Economic Statistics, 17(2), 253-263.
Ball, R. J., & Burns, T. (1976). The inflationary mechanism in the UK economy. The American Economic Review, 66(4), 467-484.
Granger, C. W. (1981). Some properties of time series data and their use in econometric model specification. Journal of econometrics, 16(1), 121-130.
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Goodwin, B. K., & Harper, D. C. (2000). Price transmission, threshold behavior, and asymmetric adjustment in the US pork sector. Journal of Agricultural and Applied Economics, 32(3), 543-553.
Bollerslev, T., Engle, R. F., & Wooldridge, J. M. (1988). A capital asset pricing model with time-varying covariances. Journal of political Economy, 96(1), 116-131.‌
Goodwin, B. K., & Piggott, N. E. (2001). Spatial market integration in the presence of threshold effects. American Journal of Agricultural Economics, 83(2), 302-317.
Borenstein, S., Cameron, A. C., & Gilbert, R. (1997). Do gasoline prices respond asymmetrically to crude oil price changes? The Quarterly journal of economics, 112(1), 305-339.
Granger, C. W., & Lee, T. H. (1989). Investigation of production, sales and inventory relationships using multicointegration and non‐symmetric error correction models. Journal of applied econometrics, 4(S1), S145-S159.
Bettendorf, L., & Verboven, F. (2000). Incomplete transmission of coffee bean prices: evidence from the Netherlands. European Review of Agricultural Economics, 27(1), 1-16.
Hansen, B. E. (1994). Autoregressive conditional density estimation. International Economic Review, 705-730.
Cramon-Taubadel, S. V. (1998). Estimating asymmetric price transmission with the error correction representation: An application to the German pork market. European review of agricultural economics, 25(1), 1-18.
Hazelwood, A., & Vandome, P. (1961). A Post Mortem on Econometric Forecasts for 1959. Bulletin of the Oxford University Institute of Economics & Statistics, 23(1), 67-81.
Enders, W., & Siklos, P. L. (1998). The term structure: testing for an equilibrium with asymmetric adjustment. Mimeo. Iowa State University Working Paper, Ames, IA.
Heidari, H., &Molabahrami, A. (2011). Portfolio Optimization Using Multivariate GARCH Models: Evidence from Tehran Stock Exchange. Financial Research Journal, 12(30), 35-56 (In persian).
Enders, W., & Granger, C. W. J. (1998). Unit-root tests and asymmetric adjustment with an example using the term structure of interest rates. Journal of Business & Economic Statistics, 16(3), 304-311.
Heien, D. M. (1980). Markup pricing in a dynamic model of the food industry. American Journal of Agricultural Economics, 62(1), 10-18.
Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica: Journal of the econometric society, 987-1007.
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Engle, R. F., & Granger, C. W. (1987). Co-integration and error correction: representation, estimation, and testing. Econometrica: journal of the Econometric Society, 251-276.
Khazaei, H. &Zamanian, G.H. (2016). Evaluating and Ranking the Performance of the Multivariate GARCH Models in Value at Risk of Industries in Tehran Stock Exchange,Journal of Securities Exchange, 8 (32), 157-182 (In persian).
Farzin Vash, A.&Labafi Fariz, F. (2013). The effect of inflation uncertainty on inflation and value-added growth of the industrial sector in Iran's economy (using bivariate GARCH model). Research Journal of Macroeconomics, (18)9, 67-92 (In persian).
Kinnucan, H. W., & Forker, O. D. (1987). Asymmetry in farm‐retail price transmission for major dairy products. American journal of agricultural economics, 69(2), 285-292.
Frost, D., & Bowden, R. (1999). An Asymmetry Generator for Error-Coorection Mechanisms, With Application to Bank Mortgage-Rate Dynamics. Journal of Business & Economic Statistics, 17(2), 253-263.
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Granger, C. W. (1981). Some properties of time series data and their use in econometric model specification. Journal of econometrics, 16(1), 121-130.
Johansen, S. (1988). Statistical analysis of cointegration vectors. Journal of economic dynamics and control, 12(2-3), 231-254.
Granger, C. W., & Weiss, A. A. (1983). Time series analysis of error-correction models. In Studies in econometrics, time series, and multivariate statistics (pp. 255-278). Academic Press.
Mainardi, S. (2001). Limited arbitrage in international wheat markets: threshold and smooth transition cointegration. Australian Journal of Agricultural and Resource Economics, 45(3), 335-360.
Goodwin, B. K., & Harper, D. C. (2000). Price transmission, threshold behavior, and asymmetric adjustment in the US pork sector. Journal of Agricultural and Applied Economics, 32(3), 543-553.
Meyer, J., & Von Cramon‐Taubadel, S. (2004). Asymmetric price transmission: a survey. Journal of agricultural economics, 55(3), 581-611.
Goodwin, B. K., & Piggott, N. E. (2001). Spatial market integration in the presence of threshold effects. American Journal of Agricultural Economics, 83(2), 302-317.
Mohanty, S., Peterson, E. W. F., & Kruse, N. C. (1995). Price asymmetry in the international wheat market. Canadian Journal of Agricultural Economics/Revue canadienned'agroeconomie, 43(3), 355-366.
Granger, C. W., & Lee, T. H. (1989). Investigation of production, sales and inventory relationships using multicointegration and non‐symmetric error correction models. Journal of applied econometrics, 4(S1), S145-S159.
Mousavi Jahormi, Y., Gholami, E.&Samei, S. (2015). Optimizing the investment portfolio of Sepeh Bank Investment Company using the combined model of Markowitz and multivariable GARCH. Applied Economics, (18)6, 1-14 (In persian).
Hansen, B. E. (1994). Autoregressive conditional density estimation. International Economic Review, 705-730.
Najafi, H.& Sadri, H. (2017). The application of multivariate GARCH models in financial management and decision-making, The first national conference on research and development in management and resistance economy, Tehran, https://civilica.com/doc/787753 (In persian).
Hazelwood, A., & Vandome, P. (1961). A Post Mortem on Econometric Forecasts for 1959. Bulletin of the Oxford University Institute of Economics & Statistics, 23(1), 67-81.
Rezitis, A. (2003). Mean and volatility spillover effects in Greek producer-consumer meat prices. Applied economics letters, 10(6), 381-384.‌
Heidari, H., &Molabahrami, A. (2011). Portfolio Optimization Using Multivariate GARCH Models: Evidence from Tehran Stock Exchange. Financial Research Journal, 12(30), 35-56 (In persian).
Sargan, J. D. (1964). Wages and prices in the United Kingdom: a study in econometric methodology. Econometric analysis for national economic planning, 16, 25-54.
Heien, D. M. (1980). Markup pricing in a dynamic model of the food industry. American Journal of Agricultural Economics, 62(1), 10-18.
Saravani, M., &Keykhah, A. (2018). Analysis of Price Transmission in Market of Marine and Farmed fish in North of Iran. Agricultural Economics Research, 9(36), 209-230 (In persian).
Houck, J. P. (1977). An approach to specifying and estimating nonreversible functions. american Journal of agricultural Economics, 59(3), 570-572.
Sephton, P. S. (2003). Spatial market arbitrage and threshold cointegration. American Journal of Agricultural Economics, 85(4), 1041-1046.
Khazaei, H. &Zamanian, G.H. (2016). Evaluating and Ranking the Performance of the Multivariate GARCH Models in Value at Risk of Industries in Tehran Stock Exchange,Journal of Securities Exchange, 8 (32), 157-182 (In persian).
Scholnick, B. (1996). Asymmetric adjustment of commercial bank interest rates: evidence from Malaysia and Singapore. Journal of international Money and Finance, 15(3), 485-496.
Kinnucan, H. W., & Forker, O. D. (1987). Asymmetry in farm‐retail price transmission for major dairy products. American journal of agricultural economics, 69(2), 285-292.
Sherafatmand, H., & Baghestany, A. A. (2016). Determination of the Price Transmission Mechanism in Iran Dates Market (Application of BV GARCH Model). Journal of Agricultural Economics and Development, 30(1), 70-79. doi: 10.22067/jead2.v30i1.48798 (In persian).
Klein, L. R. (1967). Wage and price determination in macroeconometrics. Chapter, 6, 82-100.
Sherafatmand, H., Yazdani, S., & Moghadasi, R. (2014). Dates price risk management using futures markets tools (Bivariate GARCH model). Iranian Journal of Agricultural Economics and Development Research, 45(4), 601-611. doi: 10.22059/ijaedr.2014.53835.
Johansen, S. (1988). Statistical analysis of cointegration vectors. Journal of economic dynamics and control, 12(2-3), 231-254.
Stiglitz, J. E. (1989). Imperfect information in the product market. Handbook of industrial organization, 1, 769-847.
Mainardi, S. (2001). Limited arbitrage in international wheat markets: threshold and smooth transition cointegration. Australian Journal of Agricultural and Resource Economics, 45(3), 335-360.
Suri, Ali. (2012), Econometrics along with the application of Eviews 7, 6th edition, Farhang-e-Sanish Publications, Tehran (In persian).
Meyer, J., & Von Cramon‐Taubadel, S. (2004). Asymmetric price transmission: a survey. Journal of agricultural economics, 55(3), 581-611.
Thompson, S., & Bohl, M. T. (1999). International wheat price transmission and CAP Reform.
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Mousavi Jahormi, Y., Gholami, E.&Samei, S. (2015). Optimizing the investment portfolio of Sepeh Bank Investment Company using the combined model of Markowitz and multivariable GARCH. Applied Economics, (18)6, 1-14 (In persian).
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Najafi, H.& Sadri, H. (2017). The application of multivariate GARCH models in financial management and decision-making, The first national conference on research and development in management and resistance economy, Tehran, https://civilica.com/doc/787753 (In persian).
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Saravani, M., &Keykhah, A. (2018). Analysis of Price Transmission in Market of Marine and Farmed fish in North of Iran. Agricultural Economics Research, 9(36), 209-230 (In persian).
Sephton, P. S. (2003). Spatial market arbitrage and threshold cointegration. American Journal of Agricultural Economics, 85(4), 1041-1046.
Scholnick, B. (1996). Asymmetric adjustment of commercial bank interest rates: evidence from Malaysia and Singapore. Journal of international Money and Finance, 15(3), 485-496.
Sherafatmand, H., & Baghestany, A. A. (2016). Determination of the Price Transmission Mechanism in Iran Dates Market (Application of BV GARCH Model). Journal of Agricultural Economics and Development, 30(1), 70-79. doi: 10.22067/jead2.v30i1.48798 (In persian).
Sherafatmand, H., Yazdani, S., & Moghadasi, R. (2014). Dates price risk management using futures markets tools (Bivariate GARCH model). Iranian Journal of Agricultural Economics and Development Research, 45(4), 601-611. doi: 10.22059/ijaedr.2014.53835.
Stiglitz, J. E. (1989). Imperfect information in the product market. Handbook of industrial organization, 1, 769-847.
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