Manufacturing and economic complexity: a multisectorial empirical analysis based on parametric and non-parametric methods
| dc.creator | Rebeca Maria Nepomuceno Lima | |
| dc.creator | Luciano Ferreira Gabriel | |
| dc.creator | Frederico Gonzaga Jayme Junior | |
| dc.date.accessioned | 2023-10-27T19:59:54Z | |
| dc.date.accessioned | 2025-09-09T01:11:23Z | |
| dc.date.available | 2023-10-27T19:59:54Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | El objetivo de este trabajo es analizar empíricamente cómo la ma-nufactura dividida en subsectores por intensidad de investigación y desarrollo (I+D) incide en el nivel de complejidad económica (eci). Para ello, utilizamos dos métodos: 1) paramétrico a través de mínimos cuadrados ordinarios dinámicos (pdols), y 2) no paramétrico: a) análisis envolvente de datos (dea) y b) descom-posición de Malmquist. Los resultados econométricos sugieren que la asignación de trabajadores a la manufactura de elevado nivel de I+D tiene un impacto positivo en el nivel de eci de todos los países de la muestra analizada, mientras que en los sectores de menor I+D hay un mayor impacto en los países emergentes, pero menores efectos (o negativos) sobre los países avanzados. En general, los resultados no paramétricos indican que la relación entre la eficiencia de los subsectores manufactureros y la comple-jidad económica presenta forma de U invertida. Se presta especial atención a Brasil, cuyo nivel de recuperación de la industria ma-nufacturera fue insuficiente para explicar la productividad total de los factores en el periodo analizado. | |
| dc.identifier.doi | https://doi.org/10.22201/fe.01851667p.2022.322.82471 | |
| dc.identifier.issn | 0185-1667 | |
| dc.identifier.uri | https://hdl.handle.net/1843/60181 | |
| dc.language | eng | |
| dc.publisher | Universidade Federal de Minas Gerais | |
| dc.relation.ispartof | Investigación Económica | |
| dc.rights | Acesso Aberto | |
| dc.subject | Economia | |
| dc.subject | Desenvolvimento econômico | |
| dc.subject | Paises emergentes | |
| dc.subject.other | Economic complexity | |
| dc.subject.other | Economic development | |
| dc.subject.other | Data envelopment analysis | |
| dc.title | Manufacturing and economic complexity: a multisectorial empirical analysis based on parametric and non-parametric methods | |
| dc.title.alternative | Complejidad económica e industria: un análisis empírico multisectorial | |
| dc.type | Artigo de periódico | |
| local.citation.epage | 51 | |
| local.citation.issue | 322 | |
| local.citation.spage | 27 | |
| local.citation.volume | 81 | |
| local.description.resumo | 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 | |
| local.publisher.country | Brasil | |
| local.publisher.department | FCE - DEPARTAMENTO DE CIÊNCIAS ECONÔMICAS | |
| local.publisher.initials | UFMG | |
| local.url.externa | https://www.revistas.unam.mx/index.php/rie/article/view/82471 |