پیچیدگی اقتصادی، نقدینگی، و تورم | ||
| سیاست گذاری اقتصادی | ||
| دوره 17، شماره 34، مهر 1404، صفحه 195-224 اصل مقاله (709.83 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22034/epj.2025.21527.2587 | ||
| نویسندگان | ||
| هدی زبیری* 1؛ عبادالله آقایی انارمرزی2 | ||
| 1دانشیار اقتصاد، دانشکده علوم اقتصادی و اداری، دانشگاه مازندران، بابلسر، ایران | ||
| 2دانشجوی کارشناسی ارشد اقتصاد، دانشکده علوم اقتصادی و اداری، دانشگاه مازندران، بابلسر، ایران. | ||
| چکیده | ||
| پیچیدگی اقتصادی به عنوان یکی از شاخصهای جامع پیشرفت اقتصادی کشورها بر این اصل تاکید دارد که اقتصاد، به عنوان یک سیستم پویا و پیچیده تاثیر بسزایی بر رفتار کل سیستم از جمله تورم، رکود و نوسانات بازار دارد. هدف از این پژوهش بررسی درجه پیچیدگی اقتصادی در رابطه نقدینگی و تورم میان 77 کشور در حال توسعه و توسعهیافته (47 کشور در حال توسعه و 30 کشور توسعهیافته) طی بازه زمانی 1995 الی 2021 با استفاده از روش گشتاورهای تعمیمیافته است. به عبارت دیگر، به دنبال پاسخ به این سوال هستیم که آیا پیچیدهتر شدن اقتصادها از شدت تورمزایی رشد نقدینگی میکاهد. نتایج این پژوهش نشان می-دهد با افزایش پیچیدگی اقتصادی، از میزان تاثیر نقدینگی بر افزایش تورم کاسته میشود. اندازه ضریب تعاملی در کشورهای توسعهیافته (0.05-) از اندازه این ضریب در کشورهای در حال توسعه (0.03-) بیشتر است که نشان میدهد در کشورهای توسعهیافته پیچیدگی اقتصادی اثر کاهندهتری در تورمزایی نقدینگی نسبت به کشورهای در حال توسعه دارد. همچنین، متغیرهای تولید سرانه، درجه باز بودن اقتصاد، استقلال بانک مرکزی و دموکراسی تأثیر منفی بر تورم دارند. | ||
| کلیدواژهها | ||
| پیچیدگی اقتصادی؛ تورم؛ سطح قیمتها؛ نقدینگی؛ گشتاورهای تعمیمیافته | ||
| عنوان مقاله [English] | ||
| Economic Complexity, Liquidity, and Inflation | ||
| نویسندگان [English] | ||
| Hoda Zobeiri1؛ Ebadallah Aghaei Anarmarzi2 | ||
| 1Associate Professor of Economics, Department of Economics, University of Mazandaran, Babolsar, Iran | ||
| 2M.A in Economics, University of Mazandaran, Babolsar, Iran | ||
| چکیده [English] | ||
| Purpose: Complexity and inflation are among the variables that consistently attract the attention of many policymakers and economists such that they are among the critical and effective issues in strategic and macroeconomic policies that can influence other economic variables. With a brief overview of the studies conducted on the economic complexity index, one can find that, despite the numerous studies in this field, the role of economic complexity in explaining the differences between developing and developed countries and its impact on the inflationary effect of liquidity, which is a key aim of macroeconomic policies, are somehow neglected. Considering the significance of economic complexity and its potential influence on the inflation rate, the purpose of this study is to investigate the role of economic complexity and its impact on inflationary effect of liquidity in 77 developing and developed countries. In order to answer why the complexity of economies can reduce the intensity of inflationary effect of liquidity growth, the research model has been analyzed for 47 developing economies and 30 developed economies. Methodology: The research model to investigate the interactive effect of economic complexity and liquidity on inflation is derived from the model proposed by Al Marhubi (2021), in which the logarithm of inflation is the dependent variable and a function of the annual change in the consumer price index. The research model is logarithmic. Liquidity is calculated as the difference between the logarithm of the liquidity volume and the logarithm of the GDP (at constant 2015 prices). The World Bank database was used to extract the data for these variables. The logarithm variable of economic complexity measures the knowledge production capabilities of the economy and quantifies its capacity to generate complex goods. The Atlas of Economic Complexity is the source of the information contained in this index. In order to investigate the impact of economic complexity on how liquidity affects inflation, the research model incorporates the interactive variable of the logarithm of economic complexity and liquidity. Thus, it is expected that the interaction coefficient in the model will be negative. This implies that the intensity of the inflationary effect of liquidity will diminish as economic complexity increases. Additional control variables, including the logarithm of per capita production (at constant 2015 prices) and the degree of the openness of the economy (sum of exports and imports divided by GDP as a percentage), were downloaded from the World Bank website. Also, the logarithm of the legal index of the central bank independence, which is referred to as the developed CBIE, is on a scale of 0 to 1, with 0 representing the lowest level of independence and 1 representing the highest level of independence. The data for this index was obtained from the Quality of Government (QoG) Institute in the Political Science Department of the University of Gothenburg. The average of five indices of electoral democracy, liberal democracy, participatory democracy, consultative democracy, and egalitarian democracy is used to calculate the logarithm of democracy. This index ranges from 0 (limited democracy) to 1 (high democracy). The data for this index were collected from V-DEM. The research period spanned from 1995 to 2021. The generalized method of moments (GMM) model was employed to conduct the research. Findings and Discussion: Based on the coefficients estimated through the GMM method, a rise in economic complexity decreases the impact of liquidity on inflation. The coefficients of developing and developed countries are statistically significant and justifiable, and they are consistent with the research hypothesis. The coefficient of the interactive variable was -0.03 in developing countries and -0.05 in developed countries. As predicted by the research hypothesis, economic complexity has a much more reducing impact on inflationary effect of liquidity in developed countries than in developing countries. In economies with a complex economic structure, liquidity growth is restricted, resulting in low and limited inflation. However, the ratio of liquidity to GDP is significantly higher than in economies with a low level of economic complexity. The Sargan test was implemented to verify the coefficients of the model. As indicated by this test, the null hypothesis was rejected, and the estimated model proved to have the required validity. The significance of the total regression was also demonstrated by the Wald test result. In the initial instance, the null hypothesis was rejected by the Arellano-Bond test results. Therefore, the estimated coefficients were found valid. Conclusions and Policy Implications: The purpose of this research was to examine the role of economic complexity in the relationship between liquidity and inflation. The research hypothesis was verified using the data from 77 countries from 1995 to 2021 and the GMM model. Also, the research hypothesis was evaluated for 47 developing countries and 30 developed countries. The research findings indicated that the impact of liquidity on inflation is diminished when the economic complexity index is enhanced. In other words, when an economy has a high degree of complexity, the increase in liquidity leads to lower inflation compared to an economy that has a lower degree of complexity. The coefficient of the interactive variable was found to be -0.03 in developing countries and -0.05 in developed countries. As expected, based on the research hypothesis, in developed countries, economic complexity has a much more reducing effect on the inflationary role of liquidity than in developing countries. Among the other research findings, one may refer to the negative impacts of the variables of per capita production, the degree of openness of the economy, the impact of the central bank independence and democracy on inflation, as well as the positive impact of liquidity on inflation in all research models. This study assists policymakers in comprehending the consequences of policies that are designed to enhance the country’s production capabilities and technical knowledge with respect to inflation, which is the primary objective of macroeconomic policies. Additionally, countries should specialize and diversify their export structures. The negative effect of economic complexity on the inflationary effect of liquidity is in favor of development strategies that seek to diversify the export portfolio rather than specializing exports. This is because export diversification is a basic component of economic complexity. | ||
| کلیدواژهها [English] | ||
| Economic Complexity, Liquidity, Inflation | ||
| مراجع | ||
|
Adrian, T., & Shin, H. S. (2010). Liquidity and leverage. Journal of Financial Intermediation, 19(3): 418-437. https://doi.org/10.1016/j.jfi.2008.12.002 Azizi, Z., & Daraei, F. (2022). The effect of economic complexity and institutional quality on income inequality in developing countries. Iranian Economic Development Analyses, 8(2): 153-172. (In Persian). https://doi.org/10.22051/ieda.2023.39654.1318 Azimi, N., & Azimi, D. A. (2022). Investigating the effect of globalization on the economic complexity of countries. Regional Planning, 12(45): 19-32. (In Persian). doi: 10.30495/jzpm.2022.4248 Al Marhubi, F. (2021). Economic complexity and inflation: An empirical analysis. Atlantic Economic Journal, 49(3): 259-271. https://doi.org/10.1007/s11293-021-09727-0 Antonietti, R., & Franco, C. (2021). From FDI to Economic Complexity: A Panel Granger Causality Analysis. Structural Change and Economic Dynamics, 56: 225-239. https://doi.org/10.1016/j.strueco.2020.11.001 Bahar, D., Rapoport, H., & Turati, R. (2022). Birthplace diversity and economic complexity: Cross-country evidence. Research policy, 51(8): 103991. https://doi.org/10.1016/j.respol.2020.103991 Barro, R. J., & Gordon, D. B. (1983). A positive theory of monetary policy in a natural rate model. Journal of political economy, 91(4): 589-610. https://doi.org/10.1086/261167 Basile, R., & Cicerone, G. (2022). Economic complexity and productivity polarization: Evidence from Italian provinces. German Economic Review, 23(4): 567-594. https://doi.org/10.1515/ger-2021-0070 Batten, D. S. (1981). Inflation: The cost-push myth. Federal Reserve Bank of St. Louis Review, 63(6): 20-26. Breitenbach, M. C., Chisadza, C., & Clance, M. (2022). The economic complexity index (ECI) and output volatility: High vs. low income countries. The Journal of International Trade & Economic Development, 31(4): 566-580. https://doi.org/10.1080/09638199.2021.1995467 Chávez, J. C., Mosqueda, M. T., & Gómez-Zaldívar, M. (2017). Economic complexity and regional growth performance: Evidence from the Mexican economy. Review of Regional Studies, 47(2): 201-219. http://dx.doi.org/10.52324/001c.8023 Chow, G. C., & Shen, Y. (2004). Money,Price Level and Output in the Chinese Macro Economy. Center for Economic Policy Studies, Princeton University. Dahmardeh Ghale No, N., & Delgarm, A. (2022). The effect of economic complexity index on the health outcomes in Iran and selected developing countries. Sjsph, 20(3): 261-278. (In Persian). Edmans, A., Fang, V. W., & Zur, E. (2013). The effect of liquidity on governance. The Review of Financial Studies, 26(6): 1443-1482. https://doi.org/10.1093/rfs/hht012 Elahi, N., Heydari, H., Kiaalhoseini, S. Z., & Abolhasani Chimeh, M. A. (2018). The effect of trade openness and government size on macroeconomic volatility in Iran: A stochastic volatility model (SVM) approach. Journal of Econometric Modelling, 3(3), 11-37. (In Persian). Engerman, S. L., & Sokoloff, K. L. (1994). Factor Endowments: Institutions, and Differential Paths of Growth Among New World Economies. National Bureau of Economic Research. https://doi.org/10.1515/9781503622500-013 Fenira, M. (2014). Democracy: a determinant factor in reducing inflation. International Journal of Economics and Financial Issues, 4(2), 363-375. Ferraz, D., Moralles, H. F., Campoli, J. S., Oliveira, F. C. R. D., & Rebelatto, D. A. D. N. (2018). Economic complexity and human development: DEA performance measurement in Asia and Latin America. Gestão & Produção, 25(4), 839-853. https://doi.org/10.1590/0104-530X3925-18 Friedman, M. (1956). The quantity theory of money: A restatement. Studies in The Quantity Theory of Money, 5: 3-31. Ghosh, M. A. R., & Phillips, M. S. (1998). Inflation, Disinflation, and Growth. International Monetary Fund. Gorjizadeh, A., & Sharifi Renani, H. (2014). The role of knowledge-based economy in controlling inflation. Economic Modeling, 26(8): 107-125. (In Persian). Güneri, B., & Yalta, A. Y. (2021). Does economic complexity reduce output volatility in developing countries?. Bulletin of Economic Research, 73(3), 411-431. https://doi.org/10.1111/boer.12257 Haddad, M., Lim, J. J., Pancaro, C., & Saborowski, C. (2013). Trade openness reduces growth volatility when countries are well diversified. Canadian Journal of Economics/Revue Canadienne D'économique, 46(2): 765-790. https://doi.org/10.1111/caje.12031 Hartmann, D. (2014). Economic complexity and human development: How economic diversification and social networks affect human agency and welfare. Taylor & Francis. https://doi.org/10.4324/9780203722084 Hidalgo, C. A., & Hausmann, R. (2009). The building blocks of economic complexity. Proceedings of The National Academy of Sciences, 106(26): 10570-10575. https://doi.org/10.1073/pnas.0900943106 Khan, H., Khan, U., & Khan, M. A. (2020). Causal nexus between economic complexity and FDI: Empirical evidence from time series analysis. The Chinese Economy, 53(5): 374-394. https://doi.org/10.1080/10971475.2020.1730554 Khaki, N., khorsandi, M., Mohammadi, T., Faridzad, A., & Azizi, Z. (2021). The impact of economic complexity index on greenhouse gas emissions in selected oil exporting countries: A panel Gentle Transmission Regression (PSTR) Model Approach. Iranian Energy Economics, 10(39), 99-125. (In Persian). doi: 10.22054/jiee.2022.67727.1911 Koren, M., & Tenreyro, S. (2013). Technological diversification. American Economic Review, 103(1): 378-414. https://doi.org 10.1257/aer.103.1.378 Krishna, P., & Levchenko, A. A. (2013). Comparative advantage, complexity, and volatility. Journal of Economic Behavior & Organization, 94: 314-329. https://doi.org/10.1016/j.jebo.2012.11.004 Lapatinas, A. (2016). Economic complexity and human development: A note. Economics Bulletin, 36(3): 1441-1452. Lee, D., & Zhang, H. (2022). Export diversification in low-income countries and small states: Do country size and income level matter?. Structural Change and Economic Dynamics, 60, 250-265. https://doi.org/10.1016/j.strueco.2021.11.017 Lv, L., Liu, Z., & Xu, Y. (2019). Technological Progress, globalization and low-inflation: Evidence from the United States. PLoS One, 14(4): 0215366. https://doi.org/10.1371/journal.pone.0215366 Malmendier, U., & Nagel, S. (2016). Learning from inflation experiences. The Quarterly Journal of Economics, 131(1): 53-87. https://doi.org/10.1093/qje/qjv037 Maggioni, D., Turco, A. L., & Gallegati, M. (2016). Does product complexity matter for firms' output volatility?. Journal of Development Economics, 121, 94-109. https://doi.org/10.1016/j.jdeveco.2016.03.006 Mishkin, F. S. (2007). The Economics of Money, Banking, and Financial Markets. Pearson Education. Moghadasi, L. S. (2018). The study of economic complexity and GDP effect on inflation rate and income inequality in Persian Gulf States 2002-2015. Mapta Journal of Mechanical and Industrial Engineering (MJMIE), 2(3): 31-39. http://dx.doi.org/10.33544/mjmie.v2i3.83 Motameni, M., & Zobeiri, H. (2022). Nexus between social technology and economic complexity :A PVAR Approach. Iranian Journal of Economic Research, 27(91): 223-255. (In Persian). https://doi.org/10.22054/ijer.2022.61995.1010 Orphanides, A., & Solow, R. M. (1990). Money, Inflation and Growth. Handbook of Monetary Economics, 1: 223-261. https://doi.org/10.1016/S1573-4498(05)80009-8 Papageorgiou, M. C., & Spatafora, M. N. (2012). Economic Diversification in LICs: Stylized Facts and Macroeconomic Implications. International Monetary Fund. Phelps, E. S. (1973). Inflation in the theory of public finance. The Swedish Journal of Economics, 67-82. https://doi.org/10.2307/3439275 Rahimi, F., Sayeh Miri, A.,Qasemian, N., & Shayan, A. (2021). The effect of the economic complexity index on the economic growth of MENAT countries (2008-2017). Applied Ecnomics,11(36): 1-15. (In Persian). https://doi.org/10.30495/jae.2021.18181 Rogoff, K. (2003). Globalization and global disinflation. Economic Review-Federal Reserve Bank of Kansas City, 88(4): 45-80. Romer, D. (1993). Openness and inflation: Theory and evidence. The Quarterly Journal of Economics, 108(4): 869-903. https://doi.org/10.2307/2118453 Shahabadi, A. , Karami, B., & Arghand, H. (2022). The impact of economic complexity on inflation in the selected countries of Organization of Islamic Cooperation. Quarterly Journal of Quantitative Economics (JQE), 19(2), 67-91. (In Persian). doi: 10.22055/jqe.2021.32056.2197 Shahabadi, A. , Chayani, T., & Sadeghi Motamedd,, Z. (2020). The effect of the economic complexity index on total factor productivity in the selected producing science countries. Journal of Economics and Modelling, 11(1), 181-205. (In Persian). doi: 10.29252/jem.2020.100523 Shahabadi, A., & Arghand, H. (2018). The effects of economic complexity on social welfare in selected developing countries. Iranian Journal of Trade Studies, 23(89), 89-122. (In Persian). Samandar Ali Eshtehardi, M., Azimi, N. A., & Shahmoradi, B. (2020). The causal relationship between knowledge-based economy components and economic complexity. Iranian Journal of Economic Research, 25(82): 217-242. (In Persian). https://doi.org/10.22054/ijer.2020.11915 Shakeri, A. (2017). Introduction to the Iranian Economy. Rafe Publications. (In Persian). Tang, S. H. K., Groenewold, N., & Leung, C. K. Y. (2008). The link between institutions, technical change and macroeconomic volatility. Journal of Macroeconomics, 30(4): 1520-1549. https://doi.org/10.1016/j.jmacro.2008.02.002 Zhu, S., Yu, C., & He, C. (2020). Export Structures, Income Inequality and Urban-Rural Divide in China. Applied Geography, 115: 102150. https://doi.org/10.1016/j.apgeog.2020.102150 Zobeiri, H., & Motameni, M. (2020). Human capital and economic complexity in Iran. QJER, 20(3): 145-166. (In Persian). http://dorl.net/dor/20.1001.1.17356768.1399.20.3.3.8. | ||
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