اثر تکانه‌های ساختاری و رفتاری بر قدرت بازاری صنایع غذایی در ایران

نوع مقاله : مقالات پژوهشی به زبان انگلیسی

نویسندگان

مرضیه دینداررستمی

علی رنجبرکی

سید محمد موسی مطلبی

پژوهشگاه علوم انسانی و مطالعات اجتماعی جهاد دانشگاهی

https://doi.org/10.22067/jead.2026.96326.1399

چکیده

این پژوهش با هدف بررسی اثر تکانه‌های ساختاری و رفتاری بر قدرت بازار در ۱۷ زیربخش (کد چهار رقمی ISIC) صنعت غذایی ایران طی سال‌های ۱۳۸۱ تا ۱۴۰۱ انجام شده است. مطالعه حاضر با به‌کارگیری مدل خودرگرسیون برداری ساختاری تابلویی (PSVAR) در چارچوب ساختار-رفتار-عملکرد (SCP) برای اولین بار در این زمینه، امکان تحلیل پویای تعاملات بین شوک‌های ساختاری و رفتاری را فراهم می‌سازد. متغیرهای ساختاری و رفتاری مورد بررسی شامل نرخ ارز، هزینه انرژی، شاخص تمرکز، ارزش افزوده، هزینه تبلیغات و هزینه نهاده‌های واسطه‌ای بودند. نتایج تجزیه واریانس نشان می‌دهد که بیش از ۸۰ درصد تغییرات قدرت بازار (شاخص لرنر) توسط عوامل ساختاری و هزینه‌ای (شامل هزینه نهاده‌های واسطه‌ای، ارزش افزوده، انرژی و نرخ ارز) توضیح داده می‌شود. هزینه نهاده‌های واسطه‌ای مهم‌ترین عامل اثرگذار منفی بر قدرت بازار شناسایی شده است. تمرکز بازار اثر مثبت و ارزش افزوده نیز از طریق نوآوری، اثر تقویت‌کننده داشته است. در مقابل، عوامل رفتاری مانند تبلیغات، با سهمی کمتر از ۱٪، نقش کاملاً حاشیه‌ای داشته و به‌دلیل محدودیت‌های نهادی و حساسیت قیمتی مصرف‌کننده، نتوانسته‌اند تأثیر معناداری بر قدرت قیمت‌گذاری بنگاه‌ها بگذارند. این یافته‌ها مؤید آن است که قدرت بازار در صنایع غذایی ایران عمدتاً تابعی از ساختار هزینه‌ها، تمرکز صنعتی و سیاست‌های کلان اقتصادی است، نه استراتژی‌های رفتاری بنگاه‌ها. بر این اساس، با توجه به نقش کلیدی عوامل ساختاری و هزینه‌ای در قدرت بازار صنایع غذایی ایران، پیشنهادات سیاستی شامل مدیریت هزینه‌های تولید، تقویت نوآوری و ارزش افزوده، مدیریت ریسک ارزی، تنظیم ساختار بازار، بازنگری در استراتژی‌های تبلیغاتی و تقویت سیاست‌های تنظیم بازار ارائه شده است.

کلیدواژه‌ها

پانل SVAR

شاخص لرنر

صنایع غذایی

قدرت بازاری

طبقه‌بندی:JEL D24؛ L11؛ L60؛ C33؛ O14

موضوعات

• اقتصاد کشاورزی

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عنوان مقاله English

The Impact of Structural and Behavioral Shocks on Market Power in Iran's Food Industry

نویسندگان English

M. Dindar Rostami

A. Ranjbaraki

M.M. Motalebi

Academic Center for Education, Culture and Reasearch, Tehran, Iran

چکیده English

This study investigates the effects of structural and behavioral shocks on market power across 17 four-digit ISIC subsectors of Iran's food industry from 2002 to 2022. We employ a Panel Structural Vector Autoregression (PSVAR) model within the Structure-Conduct-Performance (SCP) framework, enabling a dynamic analysis of the interactions between structural and behavioral shocks. The variables examined include the exchange rate, energy costs, market concentration, value added, advertising expenditures, and intermediate input costs. Variance decomposition results reveal that structural and cost-related factors—intermediate input costs, value added, energy, and the exchange rate—account for over 80% of the variation in market power (Lerner index). Intermediate input costs emerge as the most significant negative driver of market power. Market concentration exerts a positive effect, while value added has a reinforcing effect through innovation. In contrast, behavioral factors such as advertising play a purely marginal role, contributing less than 1%. Owing to institutional constraints and consumer price sensitivity, these factors fail to significantly influence firms' pricing power. These findings confirm that market power in Iran's food industry is primarily shaped by cost structure, industrial concentration, and macroeconomic policies rather than by firms' behavioral strategies. Accordingly, given the key role of structural and cost factors, policy recommendations include managing production costs, fostering innovation and value added, mitigating exchange rate risk, regulating market structure, rethinking advertising strategies, and strengthening market regulation policies.

کلیدواژه‌ها English

Iran

Food industries

Lerner index

Market power

Panel SVAR

SCP framework

Authors retain the copyright. This is an open access article distributed under Creative Commons Attribution 4.0 International License (CC BY 4.0).

مراجع

1. Akhani, S., Ahmad, H., & Saeidifar, Gh. (2024). Investigating the impact of energy subsidies on the market power of Iranian industry. Economic Policy, 15(30), 140–165. (In Persian). https://doi.org/10.22034/epj.2024.20468.2471
2. Apelbaum, E. (1999). The importance of brand name and quality in the retail food industry. 1999 Annual meeting, August 8-11, Nashville, TN 21497, American Agricultural Economics Association.
3. Bresnahan, T.F. (1982). The oligopoly solution concept is identified. Economics Letters, 10(1–2), 87–92. https://doi.org/10.1016/0165-1765(82)90121-5
4. Cacchiarelli, L., & Sorrentino, A. (2019). Pricing strategies in the Italian retail sector: The case of pasta. Social Sciences, 8(4), 113. https://doi.org/10.3390/SOCSCI8040113
5. De Loecker, J. (2011). Recovering markups from production data. International Journal of Industrial Organization, 29(3), 350–355. https://doi.org/10.1016/j.ijindorg.2011.02.002
6. De Loecker, J., & Warzynski, F. (2012). Markups and firm-level export status. American Economic Review, 102(6), 2437–2471, https://doi.org/10.1257/aer.102.6.2437
7. De Loecker, J., Eeckhout, J., & Unger, G. (2020). The rise of market power and the macroeconomic implications. The Quarterly Journal of Economics, 135(2), 561–644. https://doi.org/10.1093/qje/qjz041
8. Färe, R., & Primont, D. (2012). Multi-output production and duality: Theory and applications. Springer Science & Business Media. https://doi.org/10.1007/978-94-011-0651-1
9. Garcia, D., Kutlu, L., & Sickles, R.C. (2022). Market structures in production economics. In S. C. Ray, R. G. Chambers, & S. C. Kumbhakar (Eds.), Handbook of Production Economics (Vol. 2, pp. 537–574). Springer. https://doi.org/10.1007/978-981-10-3455-8_4
10. Gohin, A., & Guyomard, H. (1998). Measuring market power for food retail activities: French evidence. Journal of Agricultural Economics, 51, 181-195. https://doi.org/10.1111/j.1477-9552.2000.tb01222.x
11. Hall, R.E. (1988). The relation between price and marginal cost in U.S. industry. Journal of Political Economy, 96(5), 921–947. https://doi.org/10.1086/261570
12. Hall, R.E. (2018). Using empirical marginal cost to measure market power in the US economy (NBER Working Paper No. 25251). National Bureau of Economic Research. https://doi.org/10.3386/w25251
13. Heydari, Kh. (2019). Analysis of the impact of trade on the dispersion of monopoly power in industries in Iran. Quarterly Journal of Industrial Economics Research, 3(10), 23-36. (In Persian). https://doi.org/10.30473/indeco.2020.7019
14. Hyde, C.E., & Perloff, J.M. (1995). Can market power be estimated? Review of Industrial Organization, 10(4), 465–485. https://doi.org/10.1007/BF01024231
15. Irz, X., & Liu, X. (2016). Measuring the market power of Finnish food retailers. Economics, Business, Natural Resources Institute Finland (Luke), Economics and Society Research Unit, Koetilantie 5, 00790 Helsinki. https://doi.org/10.33354/SMST.75150
16. Jaumandreu, J., & Lopez, R. (2024). Markups in US food manufacturing accounting for non-neutral productivity. Journal of Agricultural Economics, 75(2), 573–591. https://doi.org/10.1111/1477-9552.12575
17. Khodadkashi, F., Ebadi, J., Kiaalhosseini, S.Z., & Heydari, Kh. (2018). Estimating market power and its dispersion in Iranian food industries. Agricultural Economics and Development, 26(102), 195-215. (In Persian). https://doi.org/10.30490/aead.2018.73559  
18. Khodadkashi, F., Shahikitash, M.N., & Noorani Azad, S. (2015). Monopoly power in the industrial sector and evaluating its effects on Iran's economic growth using the endogenous markup approach. Economic Growth and Development Research, 5(19), 95-114. (In Persian). https://sid.ir/paper/192146/fa
19. Kocour Kroupová, H., Steinbach, C., Pech, M., Šauer, P., Prokopová, I., Grabic, R., Brooks, B.W., & Grabicová, K. (2025). Differential bioconcentration and depuration of diphenhydramine in Xenopus laevis tadpoles and frogs. Precision Agriculture, 26, 17. https://doi.org/10.1016/j.envpol.2025.126922
20. Kumbhakar, S.C., Baardsen, S., & Lien, G. (2012). A new method for estimating market power with an application to Norwegian sawmilling. Review of Industrial Organization, 40(2), 109–129. https://doi.org/10.1007/s11151-012-9339-7
21. Lu, Y. (2024). ESG initiatives and branding in food and beverage industry (US). Advances in Economics Management and Political Sciences, 93(1), 93-97. https://doi.org/10.54254/2754-1169/93/20241054
22. Ma, X., Li, W., & Wu, J. (2021). Research on the operation of e-commerce enterprises based on Blockchain technology and bilateral platforms. Wireless Communications and Mobile Computing, 2021, https://doi.org/10.1155/2021/8872689
23. Mydland, Ø., Størdal, S., Kumbhakar, S.C., & Lien, G. (2022). Modeling markups and its determinants: The case of Norwegian industries and regions. Economic Analysis and Policy, 76, 252-262. https://doi.org/10.1016/j.eap.2022.08.014
24. Pedroni, P. (2013). Structural Panel VARs. Econometrics, MDPI, 1(2), 1-27, September. https://doi.org/3390/econometrics1020180
25. Perekhozhuk, O., Glauben, T., Grings, M., & Teuber, R. (2017). Approaches and methods for the econometric analysis of market power: a survey and empirical comparison. Journal of Economic Surveys, 31(1), 303–325. https://doi.org/10.1111/joes.12141
26. Sexton, R.J., & Xia, T. (2018). Increasing concentration in the agricultural supply chain: implications for market power and sector performance. Annual Review of Resource Economics, 10, 229–251. https://doi.org/10.1146/annurev-resource-100517-023312
27. Shahiki Tash, M.N., & Ettazii, F. (2012). The effect of foreign competition on the intensity of competition and mark-up in Iranian industrial markets. Iranian Quarterly Journal of Applied Economic Studies, 1(3), 27-55. (In Persian).
28. Sheldon, I., & Sperling, R. (2003). Estimating the extent of imperfect competition in the food industry: What have we learned? Journal of Agricultural Economics, 54(1), 89–109. https://doi.org/10.1111/j.1477-9552.2003.tb00052.x
29. Størdal, S., & Baardsen, S. (2002). Estimating price taking behavior with mill-level data: the Norwegian sawlog market, 1974–1991. Canadian Journal of Forest Research, 32(3), 401–411. https://doi.org/10.1139/x01-203
30. Syverson, C. (2011). What determines productivity? Journal of Economic Literature, 49(2), 326–365. https://doi.org/10.1257/jel.49.2.326
31. Syverson, C. (2019). Macroeconomics and market power: Context, implications, and open questions. Journal of Economic Perspectives, 33(3), 23–43. https://doi.org/10.1257/jep.33.3.23
32. Syverson, C. (2024). Markups and markdowns (NBER Working Paper No. 32871). National Bureau of Economic Research. https://doi.org/10.3386/w32871
33. Tripathy, P. (2025). Food brand cultivation. In [Book Title] (pp. 243-260). IGI Global. https://doi.org/10.4018/979-8-3693-8542-5.ch010
34. Wang, Y., & Li, S. (2021). Market concentration, market power, and firm growth of construction companies. Advances in Civil Engineering, 2021, 9990846. https://doi.org/10.1155/2021/9990846
35. Wang, W., Fu, Z., Liu, Ch., Ding, J., Zheng, J., Zhang, CH., & Li, H. (2025). A study of the impact of technological innovation in food production on the resilience of the food industry. Journal of Innovation & Knowledge, 10(4), 1-15. https://doi.org/10.1016/j.jik.2025.100756
36. Weche, J.P., & Wambach, A. (2021). The fall and rise of market power in Europe. Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), 241(5-6), 555-575. https://doi.org/10.1515/jbnst-2020-0047
37. Weche, J.P., & Wagner, J. (2021). Markups and concentration in the context of digitization: evidence from german manufacturing industries. Jahrbücher für Nationalökonomie und Statistik, 241(5–6), 667–699. https://doi.org/10.1515/jbnst-2020-0046
38. Wolfram, C.D. (1999). Measuring duopoly power in the British electricity spot market. American Economic Review, 89(4), 805–826. https://doi.org/10.1257/aer.89.4.805
39. Kroupová, Z., & Trnková, G. (2025). Profitability, efficiency, and market structure in the meat and milk processing industry: Evidence from central Europe. International Journal of Financial Studies. https://doi.org/10.3390/ijfs13010045