Normality in the Distribution of Revealed Comparative Advantage Index for International Trade and Economic Complexity
Source abstract
Abstract
The Revealed Comparative Advantage (RCA) index is an important metric for evaluating competitiveness of a country in exporting certain commodity. While it is desirable to have a normally distributed RCA index, the opposite is often found in empirical studies, and efforts for developing alternative indices of the RCA index have not been very successful. This motivates us to ask a more fundamental question: what is the significance of a normally distributed RCA index? To answer this question, we have defined a quantity called the Deviation from Gaussianity (DfG) based on the KS test, which quantifies the deviation of the distribution of a country’s RCA index from normality. By systematically analyzing the distribution characteristics of RCA index for each country from 1991 to 2019, we find that DfG is strongly negatively correlated with the logarithm of GDP and the Economic Complexity Index (ECI). In particular, correlation between DfG and GDP is stronger than that between ECI and GDP since 2008. These results suggest that DfG may serve as a new excellent index to quantify the economic complexity and economic performance of a country.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Economic and Technological Innovation · Global Trade and Competitiveness
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Business School, Guangxi University, Nanning 530004, China
Center for Geodata and Analysis, Faculty of Geographical Science, Beijing Normal University, Beijing 100087, China
Institute of Automation, Chinese Academy of Sciences, Beijing 100087, China
Funding
the National Key Research and Development Program of China · the Fundamental Research Funds for the Central Universities · Innovation Project of Guangxi Graduate Education · National Natural Science Foundation of China
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