Soyyiǧit, Semanur; Elverdi, Sevgi

Today, it is almost impossible for countries to reach a higher level of growth and development just by maintaining their existing production and export structures. Therefore, there has been an increased interest recently in examining the concept of economic complexity in the literature. The foundational premise of these studies is that countries can achieve higher levels of development by producing and exporting more complex products. In this study examines how the integration of various G20 countries into the global value chain affects the economic complexity of these countries. Integration in the global value chain occurs in the form of backward and forward participation. In this context, the study establishes two separate models and explores how these connections affect economic complexity. According to the analysis, GVC participation has a positive effect on the level of economic complexity in China, Korea, Mexico and Türkiye. No significant effect was found in India, Indonesia and Saudi Arabia. In developed countries such as Germany, the US, Australia, France, the United Kingdom, Italy, Japan and Canada the effects of GVC participation were negative. A statistically significant negative effect was also found in developed countries such as Argentina, Brazil, South Africa and Russia.

Semanur, Soyyigit; Hüseyin, Topuz; Halil, Özekicioǧlu

The role of energy for the developmental process of nations is a known fact due to being crucial input for any phase of production of goods and services. That's the reason why countries that are rich in energy resources also have strategic power in terms of the international trade of these resources. On the other hand, it becomes important to provide energy security for countries that are resource-poor. Although green energy has become preferred one, fossil fuel energy keeps its place as one of the most used energy resources. That's why in this study it is aimed to determine major providers and users of coal as a type of fossil fuel energy resources. It is vital to investigate the structure of global coal trade structure to determine the weaknesses and strength of supply and use of coal. Network approach provides a holistic view to the system analyzed and presents more realistic (high-degree) indicators to analyze it. In this study, global trade network of coal is analyzed from 2000 to 2017 via network analysis. Changing structure and evolution of global coal trade has been revealed via some topological parameters which are specific to complex networks such as density, clustering, assortativity/disassortativity, centrality and degree distribution.