In collaboration with Iranian Association for Energy Economics(IRAEE) and Scientific Association of Defence Economics of Iran(SADEI)

Document Type : applicative

Authors

1 Associate Professor in Economics, Department of Economics, Faculty of Socisl Sciences, Razi University, Kermanshah, Iran.

2 Ph.D. in Economics, Razi University, West Regional Electric Company, Kermanshah, Iran.

3 Ph.D. Student in Economics, Razi University, Province Electric Distribution Company, Kermanshah, Iran.

Abstract

In this paper, while using  the Green and Porter's trigger price oligopoly model as well as data for the period 1996-2020, the impacts of  of negative demand shocks on the market conduct and structure of Iran's beef industry were investigated.  For this purpose, a system of equations consisting of three functions of demand, supply and price-cost margin  was specified  to identify  large and negative demand shocks through demand residuals and grid search approach. The results indicate that the beef market has become more competitive following the unexpected decline in demand, but the structure of the factor (livestock) market has not changed. By using auxiliary tests, the results of this study were reconfirmed. Using the results of this research, policies can be made to improve competition in beef industry.

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Main Subjects

بهمنی، تیمور؛ یوسفی، محمدقلی. (1389). آثار شوک‌های تقاضای بخش صنعت بر تولید در صنایع کارخانه‌‌ای ایران. مجله توسعه و سرمایه. 3(6)، 111-138.
شاکری، عباس. (1395). مقدمه‌‌ای بر اقتصاد ایران. انتشارات رافع. چاپ اول. 227-229.
یوسفی، محمد قلی؛ محمدی، تیمور؛ بهمنی، مجتبی. (1390). آثار شوک‌‌های تقاضای بخش صنعت بر قیمت محصولات صنایع کارخانه‌‌ای ایران. فصلنامه اقتصاد مقداری، 8(1)، 99-122.
وزارت کشاورزی، معاونت امور تولیدات دامی، https://dla.maj.ir.
Azzam, A., and T. Park. (1993). “Testing for Switching Market Conduct”. Applied Economics, 25)7(, 96-801.
Bagwell, K. and Staiger, R.W. (1995). “Collusion over the business cycle”. Journal of Economics, 28, 82–106.
Baker, J.(1989).“Identifying Cartel Policing under Uncertainty: The U.S. Steel Industry, 1933-1939”. J. Law and Econ, 32, 47-76.
Brandao, A. Luís Guimaraes and Carlos Seixas. (2011). “The  Relationship Between Triger Price and Punishment Period in Green and Porter (1984) Game Made Endogenous”. Research Work In Progress, 432, 1-11.
Green, Edward J and Porter, Robert H. (1986). “Noncooperative Collusion under Imperfect Price  Information. Econometrica, Econometric Society, 52(1), 87-100.
Haltwanger, J. and Harrington, J. (1991). “The impact of cyclical demand movement on collusive behavior”. The Rand Journal of Economics, 22(1), 89–106.
Hanazono, M., & Yang, H. (2007). “Collusion, Fluctuating Demand, and Price RigidityRICE”. International Economic Review, 48(2), 483-515.
Oleksandr S., and NaokiWakamori. (2015). “A simple way to identify the degree of collusion under proportional reduction, Governance and the Efficiency of Economic Systems (GESY) ”. 497, 1-40.
Porter, R. (1983). “A study of cartel stability: the Joint Executive Committee 1880–1886”. Bell Journal of Economics, 14, 301–25.
Rotemberg, J., and G. Saloner. (1991). “A Supergame-Theoretic Model of Price Wars during Booms”. American Economic Review, 76 , 390–407.
Rey P. (2002). “Collective Dominance in the Telecommunications Industry”. University of Toulouse, mimeo.
Suslow, v. y. (1988). “Stability in International Cartels: An Empirical Survey”. Hoover Istitution, Stanford University Working Paper, 88-7.
Weliwita A., and Azzam A. (1996). “Identifying implicit collusion under declining output demand”. Journal of Agricultural and Resource Economics, 235-246.‏