Cardoso Ben-Hur Francisco, Catela Eva Yamila da Silva, Viegas Guilherme, Pinheiro Flávio L, Hartmann Dominik
Departamento de Economia e Relações Internacionais, Universidade Federal de Santa Catarina, Florianópolis, SC, Brazil.
NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Lisbon, Portugal.
PLoS One. 2024 Dec 5;19(12):e0313945. doi: 10.1371/journal.pone.0313945. eCollection 2024.
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.
对生产结构的研究表明,经济复杂性决定了经济增长。然而,对于像巴西这样的大型新兴国家,哪种类型的复杂性(例如出口复杂性或产业复杂性)对区域经济增长更为重要,人们却知之甚少。巴西出口自然资源和农产品,但很大一部分就业来自服务业、非贸易品以及国内制造业贸易。在此,我们使用一个关于巴西正规劳动力市场的大型数据集,其中包括约1亿工人和581个行业,以揭示2003年至2019年间558个微观区域的出口复杂性、产业复杂性和经济增长模式。我们的结果表明,出口复杂性的分布比产业复杂性更为均匀。只有少数主要是发达的城市地区在高端服务业具有比较优势。回归分析表明,一个地区的产业复杂性是其三年增长前景的重要预测指标,但出口复杂性并非如此。此外,邻近地区的经济复杂性与经济增长显著相关。结果表明,出口复杂性并不能恰当地描述巴西的知识基础和增长机会。相反,促进异质区域产业结构的复杂性和发展溢出效应是增长的关键。这项研究表明,与基于出口的复杂性相比,涵盖所有就业部门的产业复杂性为在像巴西这样的新兴经济体中设计有效和包容性的产业政策提供了更准确的基础。