Did industrial and export complexity drive regional economic growth in Brazil?

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Vydáno v:PLoS One vol. 19, no. 12 (Dec 2024), p. e0313945
Hlavní autor: Ben-Hur, Francisco Cardoso
Další autoři: Eva Yamila da Silva Catela, Viegas, Guilherme, Pinheiro, Flávio L, Hartmann, Dominik
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Public Library of Science
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100 1 |a Ben-Hur, Francisco Cardoso 
245 1 |a Did industrial and export complexity drive regional economic growth in Brazil? 
260 |b Public Library of Science  |c Dec 2024 
513 |a Journal Article 
520 3 |a Research on productive structures has shown that economic complexity conditions economic growth. However, little is known about which type of complexity, e.g., export or industrial complexity, matters more for regional economic growth in a large emerging country like Brazil. Brazil exports natural resources and agricultural goods, but a large share of the employment derives from services, non-tradables, and within-country manufacturing trade. Here, we use a large dataset on Brazil’s formal labor market, including approximately 100 million workers and 581 industries, to reveal the patterns of export complexity, industrial complexity, and economic growth of 558 micro-regions between 2003 and 2019. Our results show that export complexity is more evenly spread than industrial complexity. Only a few—mainly developed urban places—have comparative advantages in sophisticated services. Regressions show that a region’s industrial complexity is a significant predictor for 3-year growth prospects, but export complexity is not. Moreover, economic complexity in neighboring regions is significantly associated with economic growth. The results show export complexity does not appropriately depict Brazil’s knowledge base and growth opportunities. Instead, promoting the sophistication of the heterogeneous regional industrial structures and development spillovers is a key to growth. This study demonstrates that industrial complexity, which accounts for all employment sectors, provides a more accurate basis for designing effective and inclusive industrial policies in emerging economies like Brazil, compared to export-based complexity. 
651 4 |a Brazil 
653 |a Knowledge bases (artificial intelligence) 
653 |a Employment 
653 |a Industrial policy 
653 |a Global economy 
653 |a Productivity 
653 |a Economic growth 
653 |a International trade 
653 |a Natural resources 
653 |a Regions 
653 |a Exports 
653 |a Labor market 
653 |a Regional development 
653 |a Economics 
653 |a Infrastructure 
653 |a Knowledge 
653 |a Economic activity 
653 |a Emerging markets 
653 |a Gross Domestic Product--GDP 
653 |a Complexity 
653 |a Economic development 
653 |a Sophistication 
653 |a Knowledge base 
653 |a Economic conditions 
653 |a Spillover effect 
653 |a Regional economic development 
653 |a Agricultural production 
653 |a Economic 
700 1 |a Eva Yamila da Silva Catela 
700 1 |a Viegas, Guilherme 
700 1 |a Pinheiro, Flávio L 
700 1 |a Hartmann, Dominik 
773 0 |t PLoS One  |g vol. 19, no. 12 (Dec 2024), p. e0313945 
786 0 |d ProQuest  |t Health & Medical Collection 
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