اقتصاد کشاورزی و توسعه

اقتصاد کشاورزی و توسعه

بررسی اثر تکانه‏‌های نرخ ارز واقعی بر کیفیت محصولات کشاورزی صادراتی ایران با استفاده از مدل خودتوضیح‌ برداری ساختاری پانلی (Panel-SVAR)

نوع مقاله : مقاله پژوهشی

نویسندگان
1 نویسنده مسئول و استادیار پژوهشی، مؤسسه پژوهش‏‌های برنامه‌ریزی، اقتصاد کشاورزی و توسعه روستایی، تهران،ایران.
2 استادیار مؤسسه پژوهش‏‌های برنامه‌ریزی، اقتصاد کشاورزی و توسعه روستایی، تهران، ایران
3 استادیار اقتصاد کشاورزی، موسسه پژوهش‌های برنامه‌ریزی، اقتصاد کشاورزی و توسعه روستایی، تهران، ایران
4 استادیار مؤسسه پژوهش‌‏های برنامه‌ریزی، اقتصاد کشاورزی و توسعه روستایی، تهران، ایران
چکیده
نرخ ارز واقعی، به‏‌عنوان یکی از متغیرهای کلیدی اقتصاد کلان، همواره مورد توجه سیاست‌گذاران و اقتصاددانان بوده است. تأثیر نرخ ارز واقعی بر کیفیت محصولات کشاورزی صادراتی ایران نیز از موضوعات مهم در حوزه اقتصاد کشاورزی است. بنابراین، هدف اصلی پژوهش حاضر بررسی اثر شوک‌‏ها یا همان تکانه‌‏های نرخ ارز واقعی بر کیفیت محصولات کشاورزی صادراتی ایران با استفاده از مدل خودتوضیح‌ برداری ساختاری پانلی (Panel-SVAR) در قالب داده‌های پانلی ماهانه برای 36 کشور منتخب طی سال‌های 2020-2007 بود. افزون بر این، در مطالعه حاضر، اثر تکانه‏‌های متغیرهای تولید ناخالص داخلی سرانه واقعی و نیز اثر مقدار و قیمت محصولات کشاورزی صادراتی ایران بر کیفیت آنها بررسی شد. نتایج به‏‌دست‌‏آمده از تابع واکنش آنی نشان داد که واکنش تجمعی کیفیت محصولات کشاورزی صادراتی ایران نسبت به تکانه‌‏های نرخ ارز واقعی، تولید ناخالص داخلی سرانه و مقدار و قیمت محصولات کشاورزی صادراتی برای ایران مثبت و معنی‌‏دار است؛ و در واقع، افزایش نرخ ارز واقعی سبب ارتقای کیفیت محصولات کشاورزی صادراتی ایران می‌شود. نتایج تجزیه واریانس ساختاری نیز نشان داد که در پنج دوره اول، متغیرهای کیفیت محصولات کشاورزی صادراتی (با 88 درصد) و مقدار محصولات کشاورزی صادراتی (با ده درصد) بیشترین اثر را بر تغییرات کیفیت محصولات کشاورزی صادراتی در ایران دارند. بنابراین، تلاش در راستای بهبود پایدار کیفیت محصولات کشاورزی از طریق به‏‌کارگیری فناوری‌های پیشرفته و حمایت از فعالیت‌های تحقیق و توسعه در زمینه بهبود کیفیت و طراحی الگوی جامع تجارت با کشورهای هدف را می‌توان راهکاری مناسب برای دولت و صادرکنندگان محصولات کشاورزی در راستای مقابله با تغییرات نرخ ارز واقعی دانست.
کلیدواژه‌ها

موضوعات


عنوان مقاله English

Investigating the Effect of Real Exchange Rate Shocks on Quality of Iran’s Export Agricultural Products Using Panel-SVAR Model

نویسندگان English

Reza heydari 1
Mohsen Rafaati 2
Mehdi Shabanzadeh-Khoshrody 3
ebrahim javdan 4
1 Corresponding Author and Assistant Professor, Agricultural Planning, Economics and Rural Development Research Institute (APERDRI), Tehran, Iran
2 Assistant Professors, Agricultural Planning, Economics and Rural Development Research Institute (APERDRI), Tehran, Iran.
3 Assistant Professor of Agricultural Economics, Institute of Planning Research, Agricultural Economics and Rural Development, Tehran, Iran
4 Assistant Professor of Agricultural Planning, Economic and Rural Development Research Institute (APERDRI)
چکیده English

Introduction: The real exchange rate, as one of the key macroeconomic variables, has always been focused by policymakers and economists. Also, the effect of the real exchange rate on the quality of Iran's export agricultural products is one of the important issues in agricultural economics. The change in the real exchange rate through changes in the composition of export goods, exporters’ motivation, demand elasticity as well as in other variables can cause variation in the quality of agricultural products. Therefore, this study mainly aimed at investigating the effect of real exchange rate shocks on the quality of Iran's export agricultural products using the Panel-SVAR model in the form of monthly panel data for 36 countries during 2007-2020. In addition, in this study, the effects of changes shocks in real GDP per capita and also in the quantity and price of Iran's agricultural products on their quality were investigated.
Materials and Methods: The study used the panel SVAR methodology developed by Pedroni (2013) to analyze the effect of the real exchange rate on the quality of Iran's export agricultural products, as follows:
In the above equation, c and t indices indicate the country and time period; the λ, q and 𝜋 variables also indicate the quality, quantity and price of export agricultural products, respectively; in addition, RER and RGDP represent the bilateral real exchange rate (between the exporting and importing countries) and the real GDP per capita for the importing country of Iran's agricultural products, respectively. Based on the above equation, the panel SVAR model could be defined as follows:
In the above equation, Sc is the matrix of structural parameters and reflects the short-term relationship between model variables. According to Mao et al. (2021), the Sc matrix could be considered as follows:
Results and Discussion: The results of the Impulse Response Functions (IRFs) showed that the cumulative response of the quality of Iran's agricultural products to shocks of real exchange rate was significantly positive, so that it would increase suddenly at the beginning of the period and then, reach a stable state, and the full effect of real exchange rate shocks would be revealed in the short term. In fact, an increase in the real exchange rate will improve the quality of Iran's export agricultural products. In addition, the cumulative response of the quality of Iran's agricultural products to shocks of GDP per capita and also the quantity and price of Iran's export agricultural products was significantly positive. Finally, the results of the structural variance decomposition showed that in the first five periods, the variables of quality of export agricultural products (by 88 percent) and the amount of export agricultural products (by 10 percent) had the greatest effects on changes in the quality of export agricultural products of Iran, respectively.
Conclusion and Suggestions: The study results have important policy implications for the government and companies that export agricultural products. The response of the quality of Iran’s export agricultural products in the short term showed that the improvement in the quality of these products after the increase in the bilateral real exchange rate can be achieved by the improvement of the quality of agricultural products in Iran's export baskets. Therefore, efforts towards the sustainable improvement of the quality of agricultural products through the advanced technologies, supporting Research and Development (R&D) activities in quality improvement and designing a comprehensive pattern of trade with the target countries can be the suitable solution considered by the government.

کلیدواژه‌ها English

Real Exchange Rate
Quality of Iran's Export Agricultural Products
Panel-SVAR Model
  1. Aziznejad, S., & Komijani, A. (2017). The effects of exchange rate volatility on the selected macroeconomic variables: case study of Iran. Quarterly Journal of Economic Research (Sustainable Growth and Development), 17(1), 121-143. Available at

    http://ecor.modares.ac.ir/article-18-6317-en.html. [In Persian]

  2. Baek, J., & Koo, W. W. (2011). How sensitive is U.S. agricultural trade to the bilateral exchange rate? Evidence from bulk and consumer-oriented products. Journal of Agricultural Economics, 42(3), 387-403.
  3. Beestermöller, M., Disdier, A. C., & Fontagné, L. (2018). Impact of European food safety border inspections on agri-food exports: Evidence from Chinese firms. Journal of China Economic Review, 48: 66-82.
  4. Breinlich, H., Dhingra, S., & Ottaviano, G. (2016). How have EU’s trade agreements impacted consumers? Centre for Economic Performance, London School of Economics and Political Science.
  5. Broda, C., & Weinstein, D. E. (2006). Globalization and the gains from variety. Quarterly Journal of Economics, 121(2), 541-585.
  6. Cazorzi, M., Kolasa, M., & Rubaszek, M. (2017). Exchange rate forecasting with DSGE models. Journal of International Economics, 107, 127-146.
  7. Chen, M. W., Lub, C., & Tiana, Y. (2021). Export price and quality adjustment: the role of financial stress and exchange rate. Journal of Economic Modelling, 96, 336-345.
  8. Chen, N., & Juvenal, L. (2016). Quality, trade, and exchange rate pass-through. Journal of International Economics, 100, 61-80.
  9. Daei Karimzadeh, S., Imamverdi, Gh., & Shayesteh, A. (2014). Investigating the effect of real exchange rate on Iran's non-oil exports. Journal of Financial Economics (Financial Economics and Development), 8(29), 151-167. [In Persian]
  10. Dai, M., Yu, M., & Zhao, C. (2018). Export tightening, competition, and firm innovation: evidence from the Renminbi appreciation. Review of Development Economics, 22(1), 263-286.
  11. Dury, K., & Oomen, O. (2007). The real exchange rate and quality improvements. Bank of England. Available at www.bankofengland.co.uk/publications/workingpapers/index.htm.
  12. Feng, L., Li, Z., & Swenson, D. L. (2016). The connection between imported intermediate inputs and exports: evidence from Chinese firms. Journal of International Economics, 101, 86-101.
  13. Flach, L. (2016). Quality upgrading and price heterogeneity: evidence from Brazilian exporters. Journal of International Economics, 102, 282-290.
  14. Fooladi, M. (2012). Investigating the effect of exchange rate changes on the level of prices, production, exports and imports of different economic sectors using a general equilibrium model. Journal of Planning and Budgeting, 17(2), 127-148. [In Persian]
  15. Ghazali, S., & Zibaei, M. (2016). Real exchange rate uncertainty and agricultural bilateral trade: panel data analysis. Journal of Agricultural Economics and Development, 23(92). 39-60. DOI: https://doi.org/10.30490/aead.2016.59012. [In Persian]
  16. Gilanpour, O., Pakravan. M. R., & Taheri Rikandeh, E. (2016). Analyzing agricultural products import pattern in Iran with the emphasis on unstability of exchange rate (using VECM and EGARCH methods). Iranian Journal of Agricultural Economics and Development Research, 47(4), 785-804. [In Persian]
  17. Hallak, J. C. (2006). Product quality and the direction of trade. Journal of International Economics, 68(1), 238-265.
  18. Heydari, R. (2021). Investigating drivers of the price of meat types in Iran using Panel-SVAR model. Journal of Agricultural Economics and Development, 36(3), 265-286. [In Persian]
  19. Hosseini, S. S., & Homayounpour, M. (2013). Factors affecting agricultural commodities export in Iran. Journal of Iran Agricultural Economics, 6(4), 1-15. [In Persian]
  20. Hu, C., Parsley, D. C., & Tan, Y. (2019). Exchange rate induced export quality upgrading: a firm level perspective. Vanderbilt Owen Graduate School of Management Research Paper, 3011013.
  21. Hummels, D., & Skiba, A. (2004). Shipping the good apples out? An empirical confirmation of the Alchian-Allen conjecture. Journal of Political Economy, 112(6), 1384-1402.
  22. IMF (2021). International financial statistics. International Monetary Fund (IMF), Washington DC. Available at https://data.imf.org.
  23. ITC (2021). Trade map. International Trade Centre (ITC). Available at https://m.trademap.org.
  24. Kang, J. W., & Dagli, S. (2018). International trade and exchange rates. Journal of Applied Economics, 21, 84-105.
  25. Khan, I., Tango, C. N., Miskeen, S., Lee, B. H., & Oh, D. H. (2017). Hurdle technology: a novel approach for enhanced food quality and safety- a review. Journal of Food Control, 73, 1426-1444.
  26. Khandelwal, A. K., Schott, P. K., & Wei, S. J. (2013). Trade liberalization and embedded institutional reform: evidence from Chinese exporters. Journal of American Economic Review, 103(6), 2169-2195.
  27. Lotfalipour M. R., & Bazargan, B. (2016). The study of real effective exchange rate, export and import changes on trade balance in Iran. Quarterly Journal of Economic Research (Sustainable Growth and Development), 16 (1), 73-94. Available at

    http://ecor.modares.ac.ir/article-18-9068-en.html. [In Persian]

  28. Mao, R., Xing, M., & Yu, X. (2021). Quality response to real exchange rate shocks: a panel SVAR analysis on China’s agricultural exports. International Association of Agricultural Economists, Journal of Agricultural Economics, 52(5), 719-731. DOI: 10.1111/agec.12650.
  29. Olayungbo, D., Yinusa, O., & Akinlo, A. (2011). Effects of exchange rate volatility on trade in some selected Sub-Saharan African countries. Journal of Modern Economy, 2, 538-545.
  30. Pakravan, M., Mehrabi Boshrabadi, H., & Gilanpour, O. (2010). Estimating supply and demand function of Iran’s agricultural products export. Journal of Agricultural Economics and Development, 24(4), 471-478. [In Persian]
  31. Pedroni, P. (2013). Structural Panel VARs. Journal of Econometrics, 1(2), 180-206. DOI: 10.3390/econometrics1020180.
  32. Pennerstorfer, D., & Weiss, C. R. (2013). Product quality in the agri-food chain: Do cooperatives offer high-quality wine? European Review of Agricultural Economics, 40(1), 143-162.
  33. Pingali, P. (2007). Westernization of Asian diets and the transformation of food systems: implications for research and policy. Journal of Food Policy, 32(3), 281-298.
  34. Rowbotham, N., Saville, A., & Mbululu, D. (2014). Exchange rate policy and export performance in efficiency-driven economies. ERSA Working Paper 469N. Available at https://papers.ssrn.com.
  35. Shafei, S., Bostan, Y., Fatahi Ardakani, A., Jahangirpor, D., & Erfani, R. (2020). Predicting and studying the effect of uncertainty in the real exchange rate on the imports of Iran’s agricultural sector. Journal of Agricultural Economics Research, 12(3), 125-150. [In Persian]
  36. Sharif-Karimi, M., Ghaderi, Sh., & Seyfouri, J. (2019). Asymetric effects of exchange rate changes on Iran-China trade. Journal of Economy and Modeling, 10(3), 30-59. [In Persian]
  37. Thorstensen, V., Marçal, E., & Ferraz, L. (2012). Impacts of exchange rates on international trade policy instruments: the case of tariffs. Journal of World Trade, 46(3), 597-634.
  38. Vandenbussche, H. (2014). Quality in exports. European Economy. Available at http://ec.europa.eu/economy_finance/publications/.
  39. World Bank (2021). World development indicators. World Bank. Available at https://databank.worldbank.org.
  40. Xing, Y., & Zhao, L. (2008). Reverse imports, foreign direct investment and exchange rates. Journal of Japan and the World Economy, 20(2), 275-289.
  41. Yanikkaya, H., Kaya, H., & Kocturk, O. M. (2013). The effect of real exchange rates and their volatilities on the selected agricultural commodity exports: a case study on Turkey, 1971-2010. Journal of Agricultural Economics, 59(5), 235-245.
  42. Yusoff, M. B., & Sabit, A. H. (2015). The effects of exchange rate volatility on ASEAN-China bilateral exports. Journal of Economics, Business and Management, 3(5), 479-482.