Veranstalter: Österreichisches Institut für Wirtschaftsforschung
Online seit: 17.05.2021 0:00
Research question(s): Economic complexity is typically approximated using an economy's gross export structure. Considering
increasingly integrated global value chains, can economic complexity based on value-added exports better explain economic
growth? Do value-added export specialisations convey a different picture of economic development from a network perspective
than gross export specialisations? • Approach (empirical or theoretical models, simulation, etc.): Using value-added
exports and applying non-linear iterative algorithms, I introduce a novel empirical approach to the topic of economic complexity.
Moreover, in analogy to the Product Space, which uses gross exports and maps products to each other based on required capabilities,
value-added exports enable a complementary visualisation of economic development and structural cross-country differences
we refer to as Industry Space. • Data (if empirical, what data is used; level of aggregation; most important variables):
The latest release of the World Input-Output Database is used, which covers 43 countries and 56 industries each for 2000 to
2014. • Main result(s): This approach leads to substantially different complexity rankings compared to established
metrics using gross exports and the explanatory power of GDP per capita growth is considerably higher. Our study on the Industry
Space emphasises the need for value-added exports in analysing economic development by providing evidence that using gross
exports significantly changes the similarities between industries.