Price Transmission and its Volatility in Rice Marketing Chain in Iran: A Case Study of Kamfirozian Variety

Authors
Department of Agricultural Economics, Faculty of Agriculture, Tarbiat Modares University, Tehran, Islamic Republic of Iran.
Abstract
Volatility and imperfect price transmission in food markets always impress the welfare of producers and consumers, especially in the developing countries. Therefore, the purpose of this study was to investigate the price relationship in vertical market levels (i.e. farm gate, wholesale and retail) of rice as a staple food for Iranians, using the Vector Error Correction Model (VECM) and the Generalized AutoRegressive Conditional Heteroskedastic (GARCH). The data used was based on monthly observations of prices in Kamfiroz Rice Market from April 1997 to March 2015. Results showed that the direction of Granger causality and partial price transmission were from farm gate to retail market as well as from wholesale to farm gate level and retail market to wholesale, such that, if wholesale prices increase by 1%, farm gate prices will increase about 0.37%. Also, if retail prices increase by 1%, then wholesale prices will increase by about 0.36%. In addition, if farm gate prices increase by 1%, then retail prices will decrease by about 0.08%. Results also implied that retail and wholesale price volatilities have positive spillover effects on the volatility of farm gate prices (i.e. 0.50 and 0.31, respectively). In addition, retail prices are more sensitive to wholesale prices and more volatile (i.e. 0.56) than the others. Finally, in order to increase the transparency of information and increase the efficiency of price transmission in Kamfiroz Rice Market, it was suggested that marketing cooperatives of this product be increased and supported more.

Keywords

Subjects


1. Ahmad, B. Gjolberg, O. and Mehdi, M. 2017. Spatial Differences in Rice Price Volatility: A Case Study of Pakistan 1994-2011. Pak. Dev. Rev., 56(3): 265-289.
2. Al-Najjar, D. 2016. Modelling and Estimation of Volatility Using ARCH/GARCH Models in Jordan’s Stock Market. Asian J. Fin. Acct., 8(1): 152-167.
3. Anash, I. G. K. 2012. Analyzing the Relationship between World Market Prices and Local Prices of Food in African Markets: The Case of Wheat in Ethiopia. A Thesis Submitted in Partial Fulfilment of the Requirement for the Award of MSc. Degree in Management, Economics and Consumer Studies. Wageningen University and Research Centre, Wageningen.
4. Apergis, N. and Rezitis, A. 2003a. A. Mean Spillover Effects in Agricultural Prices: The Case of Greece. Agribusiness, 19: 4-425-437.
5. Apergis, N. and Rezitis, A. 2003b. Agricultural Price Volatility Spillover Effects: The Case of Greece. Eur. Rev. Agric. Econ., 30(3): 389–406.
6. Apergis, N. and Rezitis, A. 2003c. Food Price Volatility and Macroeconomic Factor Volatility: “Heat Waves” or Meteor Showers? Econ. Letr. 8: 155- 160.
7. Arnade, C., Cooke, B. and Gale, F. 2017. Agricultural Price Transmission: China Relationships with World Commodity markets. J. Commodity Mark., 7: 28-40.
8. Baquedano, F. G. and Liefert, W. L. 2014. Market Integration and Price Transmission in Consumer Markets of Developing Countries. Food Policy, 44: 103-114.
9. Bettendorf, L. and Verboven, F. 2000. Incomplete Transmission of Coffee Bean Prices: Evidence from The Netherlands. Eur. Rev. Agric. Econ., 27: 1–16.
10. Bollerslev, T. 1986. Generalized Autoregressive Conditional Heteroskedasticity. J. Economet., 31: 307–27.
11. Ceballos, F. Hernandez, M. A. Minot, N. and Robles, M. 2017. Grain Price and Volatility Transmission from International to Domestic Markets in Developing Countries. World Dev., 94: 305-320.
12. Central Bank of Iran. 2016. Economic Tme Series Database. www.cbi.ir
13. Cermak, M. Malec, K. and Maitah, M. 2017. Price Volatility Modelling–Wheat: GARCH Model Application. Agris On-line Papers in Economics and Informatics, 4: 15-24.
14. Chavas, J. P. and Mehta, A. 2004. Price Dynamics in a Vertical Sector: The Case of Butter. Am. J. Agric. Econ.., 86: 1078–1093.
15. Cheteni, P. 2016. Stock Market Volatility Using GARCH Models: Evidence from South Africa and China Stock Markets. MPRA Paper No. 77355, Munich Personal RePEc Archive (MARPA). Online at https://mpra.ub.uni-muenchen.de/77355/
16. Darbandi, E. and Saghaian, S. 2016. The Great Recession and Vertical Price Transmission in the US Beef Market. Selected Paper Prepared for Presentation for the 2016 Agricultural & Applied Economics Association, July 31-August 2, Boston, MA.
17. Dong, X. Brown, C. Waldron, S. and Zhang, J. 2018. Asymmetric Price Transmission in the Chinese Pork and Pig Market. British Food J., 120(1): 120-132.
18. Engle, R. 1982. Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation. Econometrica. 55: 251-76.
19. Engle, R. and Granger, C. 1987. Cointegration and Error-Correction: Representation, Estimation and Testing. Econometrica. 55: 251-76.
20. Esfandyari, M. Yaghoubi, M. Shabaninejad, V. and Karbassi, A. 2012. Efficiency Evaluation of Rice Farmers at South Kamfirouz Region of Marvdasht County: Application of Data Envelopment Analysis Model. J. of Village and Development, 15(1): 65-84. (in Persian).
21. FAO. 2016. Biannual Report on Global Food Markets (Food Outlook). June 2016.
22. Ganneval, S. 2016. Spatial Price Transmission on Agricultural Commodity Markets under Different Volatility Regimes. Econ. Model., 52: 173-185.
23. Goodwin, B. K. and Holt, M. T. 1999. Price Transmission and Asymmetric Adjustment in the US Beef Sector. Am. J. Agric. Econ., 81: 630–637.
24. Haigh, M. and Holt, M. 2000. Hedging Multiple Price Uncertainty in International Grain Trade. Am. J. Agric. Econ., 84(2): 881-896.
25. Hamilton, J. D. 1994: Time Series Analysis. Princeton NJ: Princeton University Press.
26. Hassan, S. A. and Malik, F. 2007. Multivariate GARCH Modeling of Sector Volatility Transmission. Q. Rev. Econ. Fin., 47: 470-480.
27. Hassouneh, I. Radwan, A. Serra, T. and Gil, J. 2012. Food Scare Crises and Developing Countries: The Impact of Avian Influenza on Vertical Price Transmission in the Egyptian Poultry Sector. Food Policy, 37(3): 264-274.
28. Jacques, H. D. 2018. A Methodological and Applied Analysis on Asymmetric Price Transmission Models: Brazilian Rice Market Issues. Thesis Submitted to the Graduate Program in Economic Sciences, as Part of the Requirements for Obtaining the Doctor of Economics, State University of Maringá.
29. Jensen, R. 2009. Information, Efficiency and Welfare in Agricultural Markets. Presented at the 27th International Association of Agricultural Economists Conference, August 16-22, 2009, Beijing, China.
30. Jezghani, F. Moghaddasi, R. Yazdani, S. and Mohamadinejad, A. 2011. Price Transmission Mechanism in the Iranian Rice Market. Int. J. Agric. Sci. Res., 2(4): 31-38.
31. Johansen, S. and Juselius, K. 1990. Maximum Likelihood Estimation and Inference on Cointegration with Applications to the Demand for Money. Oxford Bull. Econ. Stat., 52: 169–210.
32. Johansen, S. and Juselius, K. 1994. Identification of the Long-Run and Short-Run Structure: An Application to the IS-LM Model. J. Economet., 63: 7-36.
33. Karanja, A., Kuyvenhoven, A. and Moll, H. 2003. Economic Reform and Evaluation of Producer Prices in Kenya: An ARCH-M Approach. Afr. Dev. Bank, 15: 271-296.
34. Layani, GH. Ghorbanian, A. Bakhshoudeh, M. (2015). World price transmission of cereals to domestic markets of these products. Journal of Agricultural Economics and Development. 29(4): 334-344. (In Persian).
35. Lemma, H. R. and Singh, R. 2015. Testing for Price Co-Integration between Producers and Retailers: Evidence from Ethiopian Milk Market. iBusiness, 7: 1-9.
36. Loy, J and Weaver, R. D. 1998. Inflation and Relative Price Volatility in Russian Food Markets. Eur. Rev. Agric. Econ., 25(1): 373–394.
37. Makbul, Y. and Ratnaningtyas, S. 2017. Analysis of the Integration of Rice and Paddy Prices in Indonesia Using a Vector Error Correction Model. Int. J. Appl. Bus. Econ. Res., 15(10): 209-225.
38. Mortazavi, S. A., Najafi Alamdarlo, H., Zaghi Bijarbas, M. 2019. Estimating the Eco-environmental Value of Damages Caused by Groundwater Over Drafting. Inter. J. Environ. Sci. Tech., 16(7): 3861-3868.
39. Mosavi, S. H. 2016. Energy Price Reform and Food Markets: The Case of Bread Supply Chain in Iran. Agric. Econ. 47(2): 169-179.
40. Mosavi, S. H., Esmaeili, A. 2012. Self-Sufficiency Versus Free Trade: The Case of Rice in Iran. J. Int. Food Agribus. Market. 24(1): 76-90.
41. Mosavi, S. H., Esmaeili, A. K., Azhdari, S. 2014. Evaluating Economic Effects of Exchange Rate Depreciation on the Rice Market in Iran. J. Agr. Sci. Tech. 16:705-717.
42. Mosavi, S. H. Alipour, A. and Shahvari, N. 2017. Liberalizing Energy Price and Abatement Cost of Emissions: Evidence from Iranian Agro-Environment. J. Agr. Sci. Tech., 19(3): 511-523.
43. Najafi Alamdarlo, H., Pourmozafar, H., Vakilpoor, M. H. 2018. Improving Demand Technology and Internalizing External Effects in Groundwater Market Framework, Case Study: Qazvin Plain in Iran. Agric. Water Manag., 213: 164-173
44. Ojiako, I. A. Ezedinma, C. Okechukwu, R. U. and Asumugha, G. N. 2013. Spatial Integration and Price Transmission in Selected Cassava Products’ Markets in Nigeria: A Case of Gari. World Appl. Sci. J., 22(9): 1373-1383.
45. Pishbahar, E. and Alizadeh, P. 2016. Vertical Price Transmission in the Market of Potato and Onion (Case Study: Kurdistan Province. Iranian Journal of Agricultural Economics and Development Research, 47(3): 533-543. (in Persian).
46. Rahmani, R. and Esmaeili, A. 2010. An Analysis of Price Transmission in Chicken Meat Market, Fars Province. Iranian Journal of Agricultural Economics and Development Research, 41(2): 275-286. (in Persian).
47. Reziti, I. 2005. The Relationship between Macroeconomic Variables and Relative Price Variability in Greek Agriculture. Int. Adv. Econ. Res., 11: 111-119.
48. Rezitis, A. 2003. Mean and Volatility Spillover Effects in Greek Producer–Consumer Meat Prices. Appl. Econ. Letr., 10: 381–384.
49. Roche, M. and McQuinn, K. 2003. Grain Price Volatility in Small Open Economy. Eur. Rev. Agric. Econ., 30(1): 77–98.
50. Shahvari, N., Khalilian, S., Mosavi, S. H., Mortazavi, S. A., 2019. Assessing Climate Change Impacts on Water Resources and Crop Yield: A Case Study of Varamin Plain Basin, Iran. Environ. Monitor. Assess. 191(3):134.
51. Sherafatmand, H. and Baghestani, A. 2016. Identification of Price Transmission Mechanism in Iran's Date Market (Application of Bivariate GARCH Model). J. Agric. Econ. Develop. 30(1): 70-79. (in Persian).
52. Varga, T. 2007. Vertical Price Transmission between Market Operators in Hungarian Agricultural Product Chains. Stud. Agric. Econ., 106: 41-70.
53. Vavra, P. and Goodwin, B. K. 2005. Analysis of Price Transmission along the Food Chain. Working Papers, OECD Food Agriculture and Fisheries No. 3.
54. Von Cramon-Taubadel, S. 1998. Estimating Asymmetric Price Transmission with the Error Correction Representation: An Application to the German Pork Market. Eur. Rev. Agric. Econ., 25: 1–18.
55. Ward, R. W. 1982. Asymmetry in Retail, Wholesale and Shipping Point Prices for Fresh Vegetables. Am. J. Agric. Econ., 64: 205–212.
56. Weaver, R. D. and Natcher, W. 2000. Has Market Reform Exposed Farmers to Greater Price Volatility? In: “Farm Economics”. Cooperative Extension Service, US Department of Agriculture, College Station, Pennsylvania State University, PA.
57. Yang, I., Haigh, M and Leatham, D. 2001. Agricultural Liberalization Policy and Commodity Price Volatility: A GARCH Application. Appl. Econ. Letr., 8: 593- 598.
58. Yosofi Motaghaed, H. and Moghadesi, R. 2013. World Price Transmission to Domestic Agricultural Markets: Case of Wheat, Barley and Rice. J. Agric. Econ. Res., 5(17): 81-99. (In Persian).
59. Zaleski, P. A. 1992. Industry Concentration and the Transmission of Cost-Push Inflation: Evidence from the 1974 OPEC Oil Crisis. J. Econ. Bus., 44(2): 135-141.