Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic
status are significant for economic development. The understanding of socioeconomic …

This study investigates the impacts of patents and financial development on economic
complexity in a sample of 52 economies (including 32 high-income economies (HIEs) and …

China has experienced an outstanding economic expansion during the past decades,
however, literature on non-monetary metrics that reveal the status of China's regional …

Complex systems are extremely hard to predict due to its highly nonlinear interactions and
rich emergent properties. Thanks to the rapid development of network science, our …

This paper uses information on the productive structure of each of Mexico's states to
calculate a measure of economic complexity using the Method of Reflections proposed by …

This study examines the link between economic complexity and entrepreneurship density.
Testing 53 economies over the period 2006-2016, we find a significant Granger causality …

The so-called index of economic complexity, based on nations' exports, was initially
proposed as an alternative to traditional macroeconomic metrics just as the scientific …

Complex economic systems can often be described by a network, with nodes representing
economic entities and edges their interdependencies, while network centrality is often a …

Economic growth and development requires greater access to global markets, while
developing countries face many challenges in terms of trade liberalization. That is why most …

Economic diversification is relevant for poorer developing countries to create jobs and foster
economic development. The empirical economic literature has identified several stylized …