Document Type : Research Paper

Authors

1 PhD Student in Financial Engineering, Department of Management, Dhg. C., Islamic Azad University, Dehaghan, Iran

2 Associate Professor of International Economics, Department of Management, Mo. C., Islamic Azad University, Mobarakeh,Iran

3 Assistant Professor of Management, Department of Management, Dhg. C., Islamic Azad University, Dehaghan, Iran

Abstract

 In recent years, as the interdependence of different markets has increased, the level of financial risk of developing countries exporting industrial goods has increased. The main objective is to assess the extent to which industrial exports of these countries are affected by country financial risk and its components in comparison with traditional factors of bilateral trade such as economic size, real exchange rate, common border, and distance. In this paper, panel data for the period 2022 to 2002 are used within the framework of the Gravity Model and Pseudo-Poisson Maximum Likelihood (PPML) method. According to the findings of this study, the country financial risk conditions of developing countries have the greatest impact compared to other classic factors of bilateral trade. This study also showed that among the determinants of country financial risk, with the exception of external debt risk, reducing current account risk, service debt, exchange rate stability, and international liquidity risk leads to growth in industrial exports of developing countries. Therefore, an approach to assessing country financial risk and its effective management is crucial for developing countries exporting industrial goods. Thus, it is suggested that policies for managing these risks, including identifying them, assessing their impact on trade, prioritizing them, and developing measures to overcome them, should be on the agenda of export planners and policymakers in developing countries to minimize the negative impact on exports and prevent the negative impacts in the future.
 
Introduction
Currently, high correlation between different markets, increasing unilateralism and trade protectionism of developing countries have led to the spread of risk and uncertainty in these countries. One of the risks threatening industrial exports is country financial risk, which arises from fluctuations in exchange rates and government debt, affecting trade budgets and profitability. This category of risks represents an important hidden transaction cost and determines the flow of international trade in bilateral or multilateral industrial goods and therefore should be considered in any empirical model of international trade. The country financial risk considered in this study is a measure of a country's ability to meet its financial obligations at the international level. The country financial risk index is a combination of external debt risk, external service debt, current account, international liquidity and exchange rate stability. The main issue of the article is to identify the degree of influence of developing countries' industrial exports on country financial risk and its determining components in comparison with other factors affecting the exports of this group of countries.
Given that so far the discussion of the effect of country financial risk in the industrial export model has been very limited, and also the research conducted with an approach that has focused only on one of the country risk factors; therefore, the present study, in addition to examining the effect of country financial risk, also examines the importance of each of its determining components on the industrial exports of developing countries in comparison with other classic factors determining industrial exports. The result of this study can provide more effective and useful decision-making areas for developing countries that have always faced various types of deterrent risks in the course of international exchanges in the last four decades.
The present study can contribute to the discussion of decision-making in the field of industrial exports of developing countries from three perspectives: First, the factors affecting developing countries’ exports, especially from the perspective of country financial risk and at the industry sector level, are identified and a model for the development of industrial exports of these countries is presented. In fact, the industrial export model of developing countries is identified and explained by considering country financial risk along with other determinants of bilateral trade. Second, based on the latest available domestic and foreign studies that have emphasized traditional influential factors, such as economic factors, supply and demand factors, and distance on industrial export patterns of developing countries, the impact of country financial risk on industrial exports remains largely unknown. However, many researchers argue that country risk, such as financial risk, is a key factor that should be considered with regard to international trade policy. Third, the impact of developing countries’ financial risk in terms of each of its determinants is also considered. The results of these assessments will ultimately provide the basis for a more realistic analysis of the selection of important and influential drivers of industrial exports in developing countries.
Methods and Material
In the present study, based on the modified Gravity Model of Anderson and Van Wynkoop (2003) and also based on the aforementioned empirical studies such as Kai et al. (2022) and Jahanbakhsh Pour-Jabbari et al. (1402), the proposed Gravity Model is presented in terms of the financial risk index and separately for each of its constituent components as equations (2) to (7):
Model (2) assesses the impact of the country's financial risk index (FRR):
 
Model (3): for assessing the impact of the external debt risk index (fd):
 
Model (4): for assessing the impact of the external debt service risk index (fds):
 
Model (5): for assessing the impact of the current account risk index (ca):
 
Model (6): for assessing the impact of the international liquidity risk index (nil):
 
Model (7): for evaluating the impact of the exchange rate stability risk index (ers):
 
In models (2) to (7), t represents the year, i denotes the country of origin (exporter of industrial goods), and j denotes the country of destination, v_i and u_j with country fixed effect and δ_t is the period fixed effect and ε_ijt is the random error. Also, the variable xcdv is the value of industrial exports of developing countries. As mentioned, the country financial risk of this study is a measure of a country's ability to fulfill its financial obligations at the international level. The country financial risk index (FRR) variable is a composite index that evaluates five financial variables, namely the external debt risk index (FD), the external debt service risk index (FDS), the current account risk (CA), the international liquidity risk (NIL) and the exchange rate stability risk (ERS) and their associated risk points. The range of the indices varies between zero and 50; the closer the index is to zero, the higher the risk, and the closer it is to 50, the lower the risk. To ensure comparability between countries, the components are based on the accepted ratios between them. In general, a financial risk index of 0.0 to 24.5 percent indicates very high risk, 0.25 to 29.9 percent high risk, 0.30 to 34.9 percent medium risk, 0.35 to 39.9 percent low risk, and 0.40 percent or more very low risk. Information on the country financial risk index and its determinants was purchased from prsgroup.com. The raw data is monthly and is used in this study after averaging.
Results and Discussion
The results indicate that, in the medium term, unlike the long term, financial risks in developing countries are growing, which affects the development of industrial exports. Another point to be examined is that, at the same time as the country's financial risks increase, the growth of industrial exports has also become lower than the long-term industrial export growth rate. During the study period, the growth of industrial exports was 17.3 percent per year, significantly lower than the long-term growth rate of 67.9 percent. The distribution of industrial exports of developing countries in terms of country financial risk and its determinants in terms of the average period of 2002-2022 shows that many developing countries exporting industrial goods have low country financial risk during the period under study; hence, very little industrial exports of developing countries in an uncertain environment are exported to the global market in this respect.
The results of estimating the industrial export attraction model of developing countries in the form of six attraction models, taking into account the country financial risk index (FRR) and 5 determinants including the current account risk index (CA), debt service risk (FDS), external debt risk (FD), exchange rate stability risk (ERS), and international liquidity risk (NIL), show that the coefficient of the variable of the country financial risk index of developing countries in the industrial export attraction model is positive as expected and statistically significant at the 1 percent error level. The coefficients of the stated variables that show the elasticity of industrial exports of developing countries to the country financial risk of this group of countries are 2.588 units. Specifically, with a one percent increase in the country financial risk index of developing countries, there is a 2.588 percent increase in the growth of industrial exports of developing countries. The sign of the coefficient of the variable of the country financial risk index of export destinations in the industrial export attraction model is negative and statistically significant at the 1 percent error level. The coefficients of the variables that indicate the elasticity of developing countries' industrial exports to the country financial risk of developing countries' export destinations are -0.968. Specifically, with a one percent increase in the country financial risk index of export destinations (risk reduction), the growth of developing countries' industrial export demand decreases by 0.968. This empirical finding leads to the conclusion that reducing the country risk of export destinations is not only an important and important determinant of stimulating the demand for developing countries' industrial exports, but also leads to a decrease in the demand for developing countries' industrial exports. The results also show a positive and statistically significant effect of the five components of developing countries' country financial risk and export destinations on the industrial exports of these countries. Among the five components determining the country financial risk of developing countries, current account risk (ca), debt service (fds), exchange rate stability (ers) and international liquidity risk (nil) have a positive and significant effect on industrial exports of developing countries at the 1 percent error level. This is while the external debt risk component (fd) of developing countries does not have a significant relationship with industrial exports of this group of countries at a statistically acceptable level. Among the components affecting industrial exports, three components of current account risk (3.253), debt service risk (1.167) and exchange rate stability risk (1.111) have elasticity above one and international liquidity (0.417) has elasticity less than one in the industrial export model of developing countries. The results related to the impact of the country financial risk components of export destinations of developing countries show that the coefficients of all 5 components determining the country financial risk of export destinations are statistically significant at the 1 percent error level. Meanwhile, the coefficients of the current account risk components (-0.596), service debt (-0.642), external debt (-0.190), and international liquidity (-0.129) are negative, which indicates that with an increase in the coefficients of these components (risk reduction) of export destinations, the demand for industrial exports of developing countries decreases. In contrast, the exchange rate instability risk component (0.608) has a positive coefficient, and thus, with an increase in the exchange rate instability risk of export destinations (risk reduction) by one percent, the demand for industrial exports of developing countries increases by 0.608 percent.
Conclusion
This study focuses on examining the impact of country financial risk on industrial exports of developing countries and the role of each of its determinants. Based on the literature, trends, determinants, and the impact of each of the classical factors affecting bilateral trade have been examined along with the determinants of country risk.
The results of the descriptive analysis of trends show that many developing countries exporting industrial goods in the period under study have low country financial risk, which indicates that industrial exports of developing countries have been made to the world market in an environment of very little uncertainty in this regard. A large share of the low risk mentioned in developing countries is due to the low country current account risk, service debt risk, and exchange rate stability risk. Also, a high share of developing countries' exports is exported to countries that have very little uncertainty in the area of ​​country financial risk.
It is noteworthy that from 2011 to 2022, the level of country financial risk in developing countries increased, contrary to the trend in industrial exports. This indicates an increase in country financial risk and uncertainty in the financial sector in this group of countries since 2011. The increase in this uncertainty in recent years is more evident in the areas of external debt, international liquidity, and exchange rate stability. This is while the risk of service debt and account risk has decreased. Therefore, the results of examining the trends of country financial risk in developing countries indicate that in recent years, the financial risks of this group of countries for the development of industrial exports to the world in the field of industrial goods have been growing. Another point of the study is that, at the same time as country financial risks have increased, the growth of industrial exports has slowed down. Econometric analysis confirms the role of country financial risk in the growth of industrial exports of developing countries. Similarly, the country financial risk conditions of developing countries and export destinations are introduced as one of the effective factors in the growth of industrial exports of developing countries. It is noteworthy that the country financial risk conditions of developing countries have the greatest impact on industrial exports compared to other classical factors of the Gravity Model such as economic size, distance and common border and have a demand elasticity of one. Among the five components determining the country financial risk of developing countries, reducing current account risk, service debt, exchange rate stability and international liquidity risk have a positive effect on the growth of industrial exports of developing countries. This is while increasing the country financial risk, current account, service debt and international liquidity risk of export destinations reduces the growth of industrial exports of developing countries, which confirms the results of the studies of Kai et al. (2022) on the impact of country financial risk. Of course, increasing the exchange rate stability risk of export destinations reduces the growth of industrial exports of developing countries. This is an important empirical finding in terms of the different roles of developing countries’ country financial risk and export destinations on the growth of developing countries’ bilateral industrial exports. Since financial risk has the fastest impact on the cash flows and income of developing countries’ industrial export firms, it seems that industrial manufacturing firms in these countries manage risk by expanding their export activities within the framework of regional cooperation in order to be less exposed to financial risk.
Policymakers seeking to reduce the consequences of financial risk as a tool for developing countries’ industrial exports should consider strengthening institutional quality to improve country risk management by international and regional organizations facilitating financial flows as a primary strategy for developing regional cooperation among developing countries; therefore, increasing institutional capabilities to manage the risk of developing countries’ export firms is essential as a key issue in regional cooperation.

Keywords

اژدری، علی‌اصغر. (1395). واکاوی تأثیرپذیری صادرات صنعتی از نرخ ارز در اقتصاد ایران. فصلنامه مجلس و راهبرد، 23(87)، 323-348.
امیری، حسین و امینی‌داران، مهناز. (1397). عوامل موثر بر متنوع‌سازی صادرات صنعتی در ایران. فصلنامه پژوهشنامه اقتصاد کلان، 13(25)، 65-91. Doi: 10.22080/iejm.2018.2034.
امینی، علیرضا و زارع، سحر. (1396). تحلیل نقش نرخ واقعی ارز و نوسانات آن بر صادرات صنعتی ایران. فصلنامه اقتصاد مالی، 11(38)، 121-147.
باقریان کاسگری، باقر. (1402). تأثیر لجستیک تجاری در صادرات صنعتی دوجانبه ایران با رویکرد مدل جاذبه. فصلنامه پژوهشنامه بازرگانی، 27(106)، 105-130. Doi: 10.22034/ijts.2023.1974097.3747
جهانبـخش پـورجبـاری، مهدی، کریمی، فرزاد و رجبی، مصطفی. (1402). تأثیر ریسک اقتصادی، مالی و سیاسی بر صادرات صنعتی درون‌گروهی کشورهای عضو سازمان همکاری اسلامی. فصلنامه پژوهشنامه بازرگانی، 28(109)، 35-73. Doi: 10.22034/ijts.2023.2014386.3915
درینی، ولی محمد، اسماعیل پورمقدم، هادی و دهباشی، وحید. (1395). تجزیه و تحلیل تأثیر بی‌ثباتی سیاسی با توجه به موقعیت ژئوپلیتیکی ایران بر تجارت بین‌الملل. فصلنامه پژوهش‌های سیاسی جهان اسلام، 6(3)، 101-119. http://priw.ir/article-1-406-fa.html.
سرخوش سرا، علی، نصرالهی، خدیجه و آذربایجانی، کریم. (1399). تحلیل تأثیر عوامل بنیادی و متغیرهای نهادی بر صادرات کشورهای نوظهور (2015-2000): آموزه‌ای برای اقتصاد ایران. فصلنامه پژوهشنامه اقتصادی، 20(77)، 29-65. Doi: 10.22054/joer.2020.12077
شاه‌حسینی، سمیه، میرزابابازاده، نادیا و نورانی آزاد، سمانه. (1402). اثر واردات کالاهای واسطه‌ای بر صادرات: شواهدی از بنگاه‌های صنعتی ایران. فصلنامه تحقیقات اقتصادی، 58(4) (پیاپی 145)، 635-660. Doi: 10.22059/jte.2024.365759.1008854.
طیبی، سیدکمیل، عماد زاده، مصطفی و اربابیان، شیرین. (1383).  اثرات ارتقاء آموزش عالی بر عرضه صادرات صنعتی در ایران. فصلنامه تحقیقات اقتصادی، 64، 29-54.
عباسی، غلامرضا، میرزایی نژاد، محمدرضا و دنیابین، فهیمه. (1391).  عوامل موثر بر صادرات در صنایع ایران با تاکید بر ساختار بازار. فصلنامه برنامه‌ریزی و بودجه، 17(3)، 97-113. URL: http://jpbud.ir/article-1-638-fa.html.
کازرونی، علیرضا و نصیب‌پرست، سیما. (1393). عوامل تعیین‌کننده صادرات در کشورهای درحال‌توسعه: رویکرد اقتصادسنجی بیزینی. فصلنامه برنامه‌ریزی و بودجه، 19(4)(پیاپی 127)، 35-63.
گـوگردچیـان، احمد و میرجابری، زهره. (۱۳۹۶). ارزیابی تأثیر ریسک سیاسی و ریسک بازرگانی بر صادرات غیـرنفتی ایران به عمده‌ترین کشورهای هدف صادرات با تاکید بر بیمه اعتبار صادراتی. نشریـه علمی-پژوهشی سیاست‌گـذاری اقتصادی، 9(17)، 15-18. Doi: 10.29252/JEP.9.17.119
ناقلی، شکوفه و مداح، مجید. (1396). اثر نهادهای سیاسی بر صادرات ایران به شرکای مهم تجاری در الگوی مختلف کالایی. فصلنامه نظریه‌های کاربردی اقتصاد، 4(3)، 59-90.
نوروزی، بیتا. (1399). صادرات صنعتی متقابل ایران و تأثیر تغییرات نرخ ارز حقیقی. فصلنامه پژوهشنامه بازرگانی،  24(96)، 33-60. Doi: 20.1001.1.17350794.1399.24.96.2.5.
یوسفی، محمدقلی و محمدی، الهه. (1392). تخمین کمی منابع رشد صنعتی در صنایع کارخانه‌ای ایران. فصلنامه پژوهشنامه اقتصادی، 13(50)، 1-15.
Abbasi, G., Mirzaee-nejad, M., & Donyabin F. (2012). The Factors Influencing Exports in Iranian Industry with the Emphasis on Market Structure. Journal of Economic and Planning Research. 17(3), 97-113. [In Persian]
Abreo, C., Bustillo, R., & Rodriguez, C. (2021). The role of institutional quality in the international trade of a Latin American country: evidence from Colombian export performance. Journal of Economic Structures, 10(24).
Ajdari, A. A. (2016). An Analysis on Effects of Exchange Rate on Industrial Exports in Iranian Economy. Majlis and Rahbord, 23(87), 323-348. [In Persian] 
Amini, A., & Zare, S. (2017). Analysis of the role of real exchange rate and its fluctuations on Iran's industrial exports. Financial Economics (Financial Economics and Development), 11(38), 99-120. [In Persian]
Amiri, H., & Amini Daran, M. (2018). Factors Affecting Diversification of Industrial Exports in Iran. Macroeconomics Research Letter, 13(25), 65-91. doi: 10.22080/iejm.2018.2034 [In Persian] 
Anderson, J. (1979). A Theoretical Foundation for the Gravity Equation. American Economic Review, 69, 106-116. https://www.jstor.org/stable/1802501.
Anderson, J. E., & Marcouiller, D. (2002). Insecurity and the pattern of trade: An empirical investigation. The Review of Economics and Statistics, 84(2), 342–352.
Anderson, J. E., & van Wincoop, E. (2003). Gravity with gravitas: A solution to the border puzzle. American Economic Review, 933, 170–192.
Anderson, J. E., & van Wincoop, E. (2004). Trade costs. Journal of Economic Literature, 42(3), 691–751.
 Bagherian Kasgari, B. (2023). The Effect of Commercial Logistics on Iran’s Bilateral Industrial Exports with the Gravity Model Approach. Iranian Journal of Trade Studies, 27(106), 105-130. doi: 10.22034/ijts.2023.1974097.3747 [In Persian]
Banik, B., & Roy, C. K. (2021). Effect of exchange rate uncertainty on bilateral trade performance in SAARC countries: a gravity model analysis. International Trade, Politics and Development, ISSN: 2586-3932.
Belloc, M. (2006). Institutions and international trade: A reconsideration of comparative advantage. Journal of Economic Surveys, 20(1), 3–26.
Berg, A., & Ostry, J. D., & Zettelmeyer, J. (2012).  What makes growth sustained? Journal of Development Economics, Elsevier, 98(2), 149-166.
Bergstrand, J. (1985). The Gravity Equation in International Trade: Some Microeconomic Foundations and Empirical Evidence. Review of Economics and Statistics, 67, 474– 481.
Bergstrand, J. H. (1989). The generalised gravity equation, monopolistic competition, and the factor-proportions theory in international trade. The Review of Economics and Statistics, 71, 143-53.
Bergstrand, J. H. (1990). The Heckscher-Ohlin-Samuelson Model, the Linder Hypothesis and the Determinants of Bilateral Intra-Industry Trade. The Economic Journal, 100, 1261-1229. https://doi.org/10.2307/2233969.
Bergstrand, J., & Egger, P. (2007). A Knowledge-and-Physical-Capital model of international Ttrade, foreign direct investment, and foreign affiliates sales: Developed countries. Journal of International Economics, 73, 278–308.
Berkowitz, D., Moenius, J., & Pistor, K. (2006, 08). Trade, law, and product complexity. The Review of Economics and Statistics 88 (2), 363–373.
Brakman S., Garretsen, H., & van Merrewijk, C. (2001). An Introduction to Geographical Economics. first edition, Cambridge University Press: Cambridge.
Busse, M., Dary, S. K., & Wüstenfeld, J. (2024). Trade liberalisation and manufacturing employment in developing countries. Structural Change and Economic Dynamics70(C), 410-421.
Cai, Y., Zhu, H., Chen, Zh., & Geng, Y. (2022), Country Risk and Wooden Furniture Export Trade: Evidence from China. Forest Products Journal, 72(3), 180–189.
Caldara, D., & Iacoviello, M. (2018). Measuring geopolitical risk. Board of Governors of the Federal Reserve Board International Finance Discussion Paper. No. 1222. Washington, D.C.: Federal Reserve Board
Cavusgil, S. T., Deligonul, S., Ghauri, P. N., Bamiatzi, V., Park, B. I., & Mellahi, K. (2020). Risk in international business and its mitigation. J. World Bus. 55(2), 101078.
Cevik, S. (2024). Geopolitics and international trade: The democracy advantage. IMF Working Paper,
Chowdhury, S. R. (2011). Impact of global crisis on small and medium enterprises. Global Bus. Rev, 12(3), 377–399.
Coase, R. (2005). The institutional structure of production. In M. S. C. Mnard (Ed.), The Handbook of New Institutional Economics, pp. 31–39. Springer.
Cowan, K., & Neut, A. (2007). Intermediate goods, institutions and output per worker. Banco Central de Chile Documentos de Trabajo - Central Bank of Chile, Working Papers.
Darini, V. M., Esmaeilpour Moghadam, H., & Vahid, D. (2016). Analyzing the Effect of Political Instability on International Business Based on Geopolitical Situation of Iran. Quarterly Journal of Political Research in Islamic World, 6(3), 119-101. http://priw.ir/article-1-406-fa.html. [In Persian]
De Groot, H. L. F., Linders, G. J., Rietveld, P., & Subramanian, U. (2004). The institutional determinants of bilateral trade patterns. Kyklos, 57(1), 103–123.
Devadason, E. S., Govindaraju, V. G. R. C., & Mubarik, S. (2018). Defining potentials and barriers to trade in the Malaysia–Chile partnership. International Journal of Emerging Markets, 13(5), 758-779.
Dirk, G. B. (2012). Financial contagion and the real economy. J. Banking Finance, 36(10), 2680–692.
Eaton, J., & Kortum, S. (2002). Technology, Geography and Trade. Econometrica, 70, 1741-1779.
Engel, C. (2014). Exchange rates and interest parity. In G. Gopinath, E. Helpman, & K. Rogof (Eds.), Handbook of international economics (Vol. 4, pp. 453–522). Amsterdam: Elsevier.
Evenett, S. J., & Keller, W. (1998). On Theories Explaining the Success of the Gravity Equation. NBER Working Paper 6253, National Bureau of Economic Research: Cambridge MA.
Feenstra, R. C., Markusen, J. R., & Rose, A. K. (2001). Using the Gravity Equation to Differentiate among Alternative Theories of Trade. The Canadian Journal of Economics, 34(2), 430-447.
Galkin, P.Bollino, C. A., & Atalla, T. (2018). Effect of preferential trade agreements on China’s energy trade from Chinese and exporters’ perspectives. International Journal of Emerging Markets, 13(6), 1776-1797.
Glick, R., & Taylor, A. M. (2010). Collateral damage: Trade disruption and the economic impact of war. The Review of Economics and Statistics, 92(1), 102–127.
Googerdchian, A., & Mirjaberi, Z. (2017). Evaluation of the Effects of Political and Commercial Risks on Iran’s Non-Oil Exports to the Main Export Destination Countries, with an Emphasis on Export Credit Insurance Subsidy. The Journal of Economic Policy, 9(17), 119-143. doi: 10.29252/jep.9.17.119 [In Persian]
Goswami, G. G., Panthamit, D. N. (2020). Does Political Risk lower Bilateral Trade Flow? A Gravity Panel Framework for Thailand vis-a-vis her Trading Partners. International Journal of Emerging Markets, https://doi.org/10.1108/IJOEM-07-2020-0755.
Hausmann, R., Hwang, H., & Rodrik, D. (2007). What you export matters. Journal of Economic Growth12(1), 25.
Hou, M. (2010). Multidimensionality and Gravity in Global Trade, 1950–2000. Social Forces, 88, 1619–1673.
International Monetary Fund. (2017). World Economic Outlook October 2017: Seeking sustainable growth: short-term recovery, long-term challenges. Washington, D.C: International Monetary Fund.
Jahanbakhsh Porjabari, M., Karimi, F., & Rajabi, M. (2024). The Impact of Economic, Financial and Political Risk on Industrial Exports within the Group of Member Countries of the Organization of Islamic Cooperation (OIC). Iranian Journal of Trade Studies, 28(109), 35-73. doi: 10.22034/ijts.2023.2014386.3915 [In Persian]
Jarreau, J., & Poncet, S. (2012). Export sophistication and economic growth: Evidence from China. Journal of Development Economics, 97(2), 281-292 .
Kazerooni, A., & Nasibparast, S. (2014). The Main Determinants of Exports in Developing Countries: An Econometric Bayesian Approach. Journal of Economic and Planning Research. 19(4), 35-64. [In Persian]
Khayat, S. H. (2019). A gravity model analysis for trade between the GCC and developed countries. Cogent Economics & Finance, 7(1), 1-13, https://doi.org/10.1080/23322039.2019.1703440.
Krugman, P. R. (1979). Increasing Returns, Monopolistic Competition and International Trade.  Journal of International Economics, 9(4), 469-479.
Krugman, P. R. (1980). Scale Economics, Product differentiation and the Pattern of Trade. American Economic Review, 70(5). 950-959.
Kuncic, A. (2012). Institutional Determinants of Bilateral Trade: Taking Another Look. Advanced Studies in International Economic Policy Research Kiel Institute for the World Economy indenburgufer 66 Working Paper No. 462,
Levchenko, A. A. (2007). Institutional quality and international trade. Review of Economic Studies, 74(3), 791–819.
Levchenko, A. A. (2007). Institutional quality and international trade. Review of Economic Studies, 74(3), 791–819. https://doi.org/10.1111/j.1467-937X.2007.00435.x.
Liu, H. M., Hu, S. L., Fang, K., He, G. Q., Ma, H. T., & Cui, X. G. (2019). A comprehensive assessment of political, economic and social risks and their prevention for the countries along the Belt and Road. Geogr. Res, 38(12), 2966–2984.
Liu, W. G., & Huang, Y. (2020). Geopolitical risks and trade flows: Theoretical mechanism and empirical research. Int. Econ. Trade Res, 279(03), 47–60.
Melitz, M. J. (2003). The Impact of Trade on Intra-Industry Reallocations and Aggregate Industry Productivity. Econometrica, 71(6), 1695-1725.
Mnasri, A., & Nechi, S. (2019). New approach to estimating gravity models with heteroskedasticity and zero trade values. University Library of Munich, MPRA Paper 93426.Moser
Moser, C., Nestmann, T., & Wedow, M. (2008). Political risk and export promotion: Evidence from Germany. World Econ, 31(06), 781–803.
Mueller, P., Tahbaz-Salehi, A., & Vedolin, A. (2017). Exchange rates and monetary policy uncertainty. The Journal of Finance, 72(3), 1213–1252.
Nagheli, S., & Maddah, M. (2017). The Effect of Political Institutions on Iranian Export to Major Trading Partners in Different Commodities Groups. Applied Theories of Economics, 4(3), 59-90. [In Persian]
Nguyen, B. (2010). The Determinants of Vietnamese Export Flows: Static and Dynamic Panel Gravity Approaches. International Journal of Economics and Finance, 2(4), DOI:10.5539/ijef.v2n4p122.
Nicolini, R. (2003). On the Determinants of Regional Trade Flows. International Regional Science Review 26(4): 447-65.
Norouzi, B. (2020). Interactive Industrial Exports of Iran and the Impact of Real Exchange Rate Changes. Iranian Journal of Trade Studies, 24(96), 33-60. [In Persian]
North, D. C. (2005). Understanding the process of economic change. Preston University Press, pp. 15-155.
Nunn, N. (2007). Relationship-specificity, incomplete contracts, and the pattern of trade. The Quarterly Journal of Economics, 122(2), 569–600.
Nunn, N. (2007). Relationship-specificity, incomplete contracts, and the pattern of trade. The Quarterly Journal of Economics, 122(2), 569–600.
Okawa, Y., & van Wincoop, E. (2012). Gravity in international finance. Journal of International Economics, 87, 205–215.
Qazi, A., & Khan, M. S. (2021). Exploring probabilistic network-based modeling of multidimensional factors associated with country risk. Risk Anal, 41(6), 911-928.
Salvatore, D. (1998). International Economics. Sixth Edition, Prentice Hall: New Jersey
Santos Silva, J. M. C., & Tenreyro, S. (2022). The Log of Gravity at 15. Portuguese Economic Journal, 21(3), 423–437. DOI:10.1007/s10258-021-00203-w.
Saputra, P. M. A. (2019). Corruption perception and bilateral trade flows evidence from developed and developing countries. Journal of International Studies, 12(1), 65-78. Doi: 10.14254/ 2071-8330.2019/12-1/4.
Sarkhosh-Sara, A., Nasrollahi, K., & Azarbayjani, K. (2020). Analyzing the Impact of Fundamental Factors and Institutional Variables on Exports of Emerging Countries (2000- 2015): Lessons for Iranian Economy. Economics Research, 20(77), 29-65. doi: 10.22054/joer.2020.12077 [In Persian]
Shahhosseini, S., Mirzababazadeh, N., & Norani Azad, S. (2024). The Impact of Imported Intermediate Goods on Exports: Evidence from Iran’s Industrial Firms. Journal of Economic Research (Tahghighat- E- Eghtesadi), 58(4), 637-662. doi: 10.22059/jte.2024.365759.1008854[In Persian]
Sheridan, B. J. (2012). Manufacturing exports and growth: When is a developing country ready to transition from primary exports to manufacturing exports? Journal of Macroeconomics, Elsevier, 42(C), 1-13.
Suresh K. G., & Aswal, N. (2014). Determinants of India's manufactured exports to south and north: A Gravity Model Analysis. International Journal of Economics and Financial Issues, Econjournals, 4(1), 144-151.
Tayyebi, S. K., Emadzadeh, M., & Arbabian, Sh. (2004). The effects of promoting higher education on the supply of industrial exports in Iran (1966-1999). Journal of Economic Research (Tahghighat- E- Eghtesadi), 39(1), 29-54. [In Persian]
Tinbergen, J. (1962). Shaping the World Economy: Suggestions for an International Economic Policy. The International Executive, 5, 27–30.
UNIDO. (2006). Industrial development, trade and poverty reduction through South-South cooperation, UNIDO: Vienna.
Wan, X., Kazmi, S. A. A., & Wong, Ch. Y. (2022).  Manufacturing, Exports, and Sustainable Growth: Evidence from Developing Countries. Sustainability, 14(3), 1646.https://doi.org/10.3390/su14031646.
Wang, Zh., Zong,Y., Dan, Y., & Jiang, Sh.J. (2020). Country risk and international trade: evidence from the China-B&R countries. Applied Economics Letters, 28(20), 1784-1788. DOI: 10.1080/13504851.2020.1854433.
Wooldridge, J. M. (2002). Econometric Analysis of Cross Section and Panel Data. Cambridge, MA: MIT Press.
Yotov, Y., Piermartini, R., Monteiro, J. A., & Larch, M. (2017). An Advanced Guide to Trade Policy Analysis: The Structural Gravity Model. New York: United Nations and World Trade Organization.
Yousefi, M., & Elahe Mohammadi, E. M. (2013). A Quantitative Estimation of the Sources of Industrial Growth in Manufacturing Industries of Iran. Economics Research, 13(50), 1-15. [In Persian]
Zhang, H. W., Wang, Y., Yang, C., & Guo, Y. Q. (2021). The impact of country risk on energy trade patterns based on complex network and panel regression analyses. Energy, 222, 119979.