Mohsen Mohammadi Khyareh; Amineh Zivari
Abstract
Economic complexity is a relatively new concept developed in recent years to assess the productive characteristics of countries. It not only explains the production structure, but also helps examine differences in income and growth across countries. In this paper, we estimate the macroeconomic ...
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Economic complexity is a relatively new concept developed in recent years to assess the productive characteristics of countries. It not only explains the production structure, but also helps examine differences in income and growth across countries. In this paper, we estimate the macroeconomic impact of economic complexity on growth of a sample of N-11 countries for the period 2000-2020, using the economic complexity index developed by Hidalgo and Hausman (2009). Diagnostic tests confirmed the assumption of slope coefficient heterogeneity and cross-sectional dependence of the error term. Thus, we employ the Pesaran (2006) Common Correlated Effects Mean Group estimator (CCEMG) and the Chudik and Pesaran (2015) Common Correlated Effect Pooled Mean Group (CCEPMG) methodology. The findings suggest that economic complexity is one of the key determinants of long-term economic growth. However, its impact on economic growth is not significant in the short term, suggesting that the impact of changes in production structure on economic growth is time-sensitive. The coefficients of other control variables such as human capital, investment, institutional quality, and inflation rate were statistically significant.
Rozbeh Amanifard; Mohsen Mohammadi Khyareh; Reza Mazhari
Abstract
The importance of establishing “Enabling Trade” measures in the countries of origin and destination of exports is of great importance in the international economic literature. In this regard, many studies have shown that improving Enabling Trade can reduce trade costs and improve export ...
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The importance of establishing “Enabling Trade” measures in the countries of origin and destination of exports is of great importance in the international economic literature. In this regard, many studies have shown that improving Enabling Trade can reduce trade costs and improve export performance. However, in previous studies, the issue of Enabling Trade at export destinations and its impact on the commercial performance of export sources has not received much attention. In addition, the need for non-linear estimation of gravity models has been almost completely agreed in the past decade. Therefore, this article studies the estimation of the impact of the Poisson Pseudo-Maximum Likelihood (PPML) on the trade facilitation of its 21 trading partner countries from 2008 to 2016. Enabling Trade Index (ETI) includes four sub-indexes: market access, border management, transportation and communications infrastructure, and operating environment. The results show that Enabling Trade Indices such as market access, border management, infrastructure, and operating environment in the country of origin and export destination countries have had a positive and significant impact on trade flows between Iran and its trading partners. In addition, the results show that the importance and intensity of Iran’s enabling trade indicators are higher than similar measures taken by its trading partners. The authors interpret it as explaining the important role of enabling trade policies in increasing trade between Iran and its trading partners.
Mohsen Mohammadi Khyareh; Nasrin Rostami
Abstract
Many scholars emphasize the importance of economic competitiveness in the improvement of economic growth. However, studies that quantitatively analyze the interconnection between different components of competitiveness in one economy and their impact on economic growth are very limited. Therefore, the ...
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Many scholars emphasize the importance of economic competitiveness in the improvement of economic growth. However, studies that quantitatively analyze the interconnection between different components of competitiveness in one economy and their impact on economic growth are very limited. Therefore, the purpose of this study is to fill the gap in the literature on economic growth and study the effect of competitiveness in different stages of economic development. In this regard, using the data of 81 countries of the World Economic Forum (WEF) in three groups of resource-, efficiency- and innovation-driven countries for years 2008-2017, the relationship between national competitiveness and economic growth is examined through the econometric model of generalized method of Moments (GMM). Our results indicate that the impact of institutions, infrastructure, higher education, business complexity and innovation on economic growth is positive and significant in all three groups of countries. In addition, the impact of labor market efficiency, financial market development and macroeconomic stability has been significant only in inefficiency - and innovation-driven, and the impact of primary education and health had been meaningful only in resource-driven countries. In addition, the effect of the goods market efficiency and market size on economic growth has been significant only in innovation-driven countries and technology-readiness was significant in all but innovation-driven countries. In summary, our estimation results indicate that the impact of competitiveness components on economic growth in different countries varies according to their stage of development.
