Eficiencia técnica en la industria manufacturera en México

Santibáñez, Ana Lilia Valderrama; Castillo, Omar Neme; Bolívar, Humberto Ríos

doi:10.1016/j.inveco.2015.11.002

Cited by 5 publications

(1 citation statement)

References 17 publications

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“…While various research using parametric or non-parametric models-such as DEA-has been conducted in the Mexican manufacturing industry to measure efficiency, whether by sector or subsector (Tavares Luna and Llamas 2018;Olvera Rebolledo and Suárez 2023;Santibañez et al 2015;Rojas and Gómez 2018;Rojas et al 2016), there are few works in which their input variables are exclusively based on human capital and are carried out particularly for SMEs.…”

Section: Discussionmentioning

confidence: 99%

Evaluating the Efficiency of Human Capital at Small and Medium Enterprises in the Manufacturing Sector Using the DEA-Weight Russell Directional Distance Model

Rosales-Córdova,

Carmona-Benítez

2023

Economies

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The present research aims to analyze the efficiency of human capital in relation to sales in each of the subsectors of economic activity within Mexican small- and medium-sized enterprises in the manufacturing industry. To accomplish this, a panel data set covering the years 2009–2020 is utilized. The inputs used are investment in training, salary, and days worked, with sales as the output. Initially, due to the high variability (cv > 1) of both the inputs and the output, the information is divided into three groups by quartiles: Group 1 < 25%, Group 2 = 25–75%, and Group 3 > 75%. As a first step in the analysis, a hypothesis test identifies a significant increase in sales for those subsectors that reported investing in training compared with those that did not. As a result, for the efficiency analysis, SMEs that report not investing in training are removed from the sample. Subsequently, to confirm the statistical explanation of the inputs for the output, a regression analysis is performed. With an input-oriented DEA model, it is found that most subsectors exhibit high overall and pure efficiency (≥0.75) as well as increasing returns to scale. Interestingly, the research introduces a novel approach by proposing subgroups within SMEs, providing a more precise analysis. The findings of this study emphasize the fundamental role of human capital as a key driver of economic growth and innovation within the manufacturing sector. This research also highlights variations in efficiency among different subsectors, underscoring the need for tailored strategies for each. These results offer practical guidance for companies seeking to optimize their operations and contribute to the economic development of a developing country. In conclusion, this paper contributes both theoretically and practically to understanding the interaction between human capital and financial indicators. The results underscore the importance of investing in workforce development, ultimately promoting economic growth, improving productivity, and advancing social progress.

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Section: Discussionmentioning

confidence: 99%

Evaluating the Efficiency of Human Capital at Small and Medium Enterprises in the Manufacturing Sector Using the DEA-Weight Russell Directional Distance Model

Rosales-Córdova,

Carmona-Benítez

2023

Economies

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The Short-Term Effects of COVID-19 on the Manufacturing Industry in Colombia: Unveiling Insights through a Natural and Exogenous Experiment

Arenas,

Barreto,

Cabezas

2024

J Knowl Econ

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Contribución de la tecnología a la productividad de las pymes de la industria textil en Ecuador

Ibujés-Villacís

Pazmino

2018

Cuadernos de Economía

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Resumen La tecnología tiene actualmente un papel importante en la gestión empresarial a nivel mundial, y se ha convertido en un instrumento fundamental para que las empresas sean cada vez más eficaces, eficientes y competitivas. El presente documento realiza un estudio de cómo el uso de la tecnología se relaciona con el grado de productividad de las pequeñas y medianas empresas (pymes) de la industria textil en Ecuador. Este sector industrial es uno de los priorizados de la industria ecuatoriana y las pymes que son el objeto de este estudio pertenecen a la Clasificación Industrial Internacional Uniforme (CIIU) C13 «Fabricación de prendas textiles» distribuidas en todo el país. Para conocer la relación que existe entre tecnología y productividad se aplicó el modelo econométrico de Solow, que utiliza las variables: producción, capital, mano de obra y tecnología, las mismas que al ser combinadas permiten determinar cómo se encuentran los procesos productivos de dichas organizaciones empresariales. Los resultados del estudio, en forma general, muestran la medida en que las variables antes descritas aportan a la productividad de las empresas de la industria textil, y en forma particular, cuál es la influencia del uso de la tecnología en el crecimiento o decrecimiento de la productividad.

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Eficiencia técnica en la industria manufacturera en México

Cited by 5 publications

References 17 publications

Evaluating the Efficiency of Human Capital at Small and Medium Enterprises in the Manufacturing Sector Using the DEA-Weight Russell Directional Distance Model

Evaluating the Efficiency of Human Capital at Small and Medium Enterprises in the Manufacturing Sector Using the DEA-Weight Russell Directional Distance Model

The Short-Term Effects of COVID-19 on the Manufacturing Industry in Colombia: Unveiling Insights through a Natural and Exogenous Experiment

Contribución de la tecnología a la productividad de las pymes de la industria textil en Ecuador

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