Manufacturing and economic complexity: a multisectorial empirical analysis based on parametric and non-parametric methods

• Autor(a) principal: Rebeca Maria Nepomuceno Lima
• Data de Publicação: 2022
• Outros Autores: Luciano Ferreira Gabriel, Frederico Gonzaga Jayme Junior
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UFMG
• Texto Completo: https://doi.org/10.22201/fe.01851667p.2022.322.82471; http://hdl.handle.net/1843/60181
• topic: Economic complexity; Economic development; Data envelopment analysis; Economia; Desenvolvimento econômico; Paises emergentes

This paper aims to analyze empirically how manufacturing, disaggregated into subsectors by research and development (R&D) intensity, influences the level of economic complexity (eci). For this, two methods were used: 1) the parametric by Panel Dynamic Ordinary Least Squares (pdols) and 2) the non-parametric: a) Data Envelopment Analysis (dea) and b) Malm-quist Decomposition. The econometric results suggest 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-par-ametric results present the relationship between efficiency in manufactur-ing subsectors and economic complexity as an inverted U shape. Special attention is given to Brazil, which manufacturing catching up was under-performed in explaining total factor productivity in the analyzed period