MANUFACTURING AND ECONOMIC COMPLEXITY: A MULTISECTORIAL EMPIRICAL ANALYSIS

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Rebeca Maria Nepomuceno Lima
Luciano Ferreira Gabriel
Frederico G. Jayme Jr.

Abstract

This paper aims to analyze empirically how manufacturing, disaggregated into subsectors by R&D intensity, influences the level of economic complexity (ECI). For this, two methods are used: i) the parametric, and ii) the non-parametric: a) Data Envelopment Analysis (DEA) and b) Malmquist Decomposition. The econometric results suggests that the allocation of workers in the manufacture (of high R&D level) has a positive impact on the ECI level of all the countries in the sample analyzed, whereas in the sectors of lower R&D there is a greater impact in emerging countries, but lower effects (or negative) on advanced countries. In general, the non-parametric results present the relationship between efficiency in manufacturing subsectors and economic complexity as an inverted U shape. Special attention is given to Brazil, which manufacturing catching up was underperformed in explaining total factor productivity in the analyzed period.

Article Details

How to Cite
Nepomuceno Lima, R. M., Gabriel, L. F., & Jayme Jr., F. G. (2022). MANUFACTURING AND ECONOMIC COMPLEXITY: A MULTISECTORIAL EMPIRICAL ANALYSIS. Investigación Económica, 81(322), 27–51. https://doi.org/10.22201/fe.01851667p.2022.322.82471
Author Biographies

Rebeca Maria Nepomuceno Lima, Superintendence of Economic and Social Studies - CEPRO/ SEPLAN – PI

CEPRO/SEPLAN

Luciano Ferreira Gabriel, Universidade Federal de Juiz de Fora

Departamento de Economia e Finanças

Frederico G. Jayme Jr., UFMG

Departamento de Economia