Impact of technological innovation on the productivity of manufacturing companies in Peru

Julio César Ortíz Berrú; Cristhian Aldana Yarlequé; Lucio Leo Verástegui Huanca

doi:10.1007/978-3-030-39512-4_66

Impact of technological innovation on the productivity of manufacturing companies in Peru

Julio César Ortíz Berrú
, Cristhian Aldana Yarlequé
, Lucio Leo Verástegui Huanca

Facultad de Ciencias Económicas y Ambientales

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

It is estimated the relationship between the investment in innovation activities, the results of innovation and productivity in Peruvian manufacturing firms, using the multi-equation model, called the CDM model, which studies the entire innovation process. The quantile regression approach was used, using data from the II National Survey of Innovation in the Manufacturing Industry 2015 in Peru. The findings were that technological innovation is associated with a 56% increase in productivity in the company. Finally, the quantile regression approach shows that the effect of technological innovation on the firm’s productivity is heterogeneous, increasing the effect on bigger firms. If investment in technological activities increases by 1%, then the labor productivity increases by 0.22% and the returns of innovation depend on the entrepreneurial position according the distribution of productivity.

Idioma original	Inglés
Título de la publicación alojada	Intelligent Human Systems Integration - Proceedings of the 3rd International Conference on Intelligent Human Systems Integration IHSI 2020
Subtítulo de la publicación alojada	Integrating People and Intelligent Systems
Editores	Tareq Ahram, Waldemar Karwowski, Alberto Vergnano, Francesco Leali, Redha Taiar
Editorial	Springer
Páginas	421-426
Número de páginas	6
ISBN (versión impresa)	9783030395117
DOI	https://doi.org/10.1007/978-3-030-39512-4_66
Estado	Publicada - 2020
Evento	3rd International Conference on Intelligent Human Systems Integration, IHSI 2020 - Modena, Italia Duración: 19 feb. 2020 → 21 feb. 2020

Serie de la publicación

Nombre	Advances in Intelligent Systems and Computing
Volumen	1131 AISC
ISSN (versión impresa)	2194-5357
ISSN (versión digital)	2194-5365

Conferencia

Conferencia	3rd International Conference on Intelligent Human Systems Integration, IHSI 2020
País/Territorio	Italia
Ciudad	Modena
Período	19/02/20 → 21/02/20

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 8: Trabajo decente y crecimiento económico
ODS 9: Industria, innovación e infraestructura

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10.1007/978-3-030-39512-4_66

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Ortíz Berrú, J. C., Aldana Yarlequé, C., & Verástegui Huanca, L. L. (2020). Impact of technological innovation on the productivity of manufacturing companies in Peru. En T. Ahram, W. Karwowski, A. Vergnano, F. Leali, & R. Taiar (Eds.), Intelligent Human Systems Integration - Proceedings of the 3rd International Conference on Intelligent Human Systems Integration IHSI 2020: Integrating People and Intelligent Systems (pp. 421-426). (Advances in Intelligent Systems and Computing; Vol. 1131 AISC). Springer. https://doi.org/10.1007/978-3-030-39512-4_66

Ortíz Berrú, Julio César ; Aldana Yarlequé, Cristhian ; Verástegui Huanca, Lucio Leo. / Impact of technological innovation on the productivity of manufacturing companies in Peru. Intelligent Human Systems Integration - Proceedings of the 3rd International Conference on Intelligent Human Systems Integration IHSI 2020: Integrating People and Intelligent Systems. editor / Tareq Ahram ; Waldemar Karwowski ; Alberto Vergnano ; Francesco Leali ; Redha Taiar. Springer, 2020. pp. 421-426 (Advances in Intelligent Systems and Computing).

@inproceedings{b7f0d45338cf4ef7ba8d13d37a26498c,

title = "Impact of technological innovation on the productivity of manufacturing companies in Peru",

abstract = "It is estimated the relationship between the investment in innovation activities, the results of innovation and productivity in Peruvian manufacturing firms, using the multi-equation model, called the CDM model, which studies the entire innovation process. The quantile regression approach was used, using data from the II National Survey of Innovation in the Manufacturing Industry 2015 in Peru. The findings were that technological innovation is associated with a 56\% increase in productivity in the company. Finally, the quantile regression approach shows that the effect of technological innovation on the firm{\textquoteright}s productivity is heterogeneous, increasing the effect on bigger firms. If investment in technological activities increases by 1\%, then the labor productivity increases by 0.22\% and the returns of innovation depend on the entrepreneurial position according the distribution of productivity.",

keywords = "CDM, Manufacturing sector, Productivity, Technological innovation",

author = "\{Ort{\'i}z Berr{\'u}\}, \{Julio C{\'e}sar\} and \{Aldana Yarlequ{\'e}\}, Cristhian and \{Ver{\'a}stegui Huanca\}, \{Lucio Leo\}",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020.; 3rd International Conference on Intelligent Human Systems Integration, IHSI 2020 ; Conference date: 19-02-2020 Through 21-02-2020",

year = "2020",

doi = "10.1007/978-3-030-39512-4\_66",

language = "Ingl{\'e}s",

isbn = "9783030395117",

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Ortíz Berrú, JC, Aldana Yarlequé, C & Verástegui Huanca, LL 2020, Impact of technological innovation on the productivity of manufacturing companies in Peru. En T Ahram, W Karwowski, A Vergnano, F Leali & R Taiar (eds.), Intelligent Human Systems Integration - Proceedings of the 3rd International Conference on Intelligent Human Systems Integration IHSI 2020: Integrating People and Intelligent Systems. Advances in Intelligent Systems and Computing, vol. 1131 AISC, Springer, pp. 421-426, 3rd International Conference on Intelligent Human Systems Integration, IHSI 2020, Modena, Italia, 19/02/20. https://doi.org/10.1007/978-3-030-39512-4_66

Impact of technological innovation on the productivity of manufacturing companies in Peru. / Ortíz Berrú, Julio César; Aldana Yarlequé, Cristhian; Verástegui Huanca, Lucio Leo.
Intelligent Human Systems Integration - Proceedings of the 3rd International Conference on Intelligent Human Systems Integration IHSI 2020: Integrating People and Intelligent Systems. ed. / Tareq Ahram; Waldemar Karwowski; Alberto Vergnano; Francesco Leali; Redha Taiar. Springer, 2020. p. 421-426 (Advances in Intelligent Systems and Computing; Vol. 1131 AISC).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Impact of technological innovation on the productivity of manufacturing companies in Peru

AU - Ortíz Berrú, Julio César

AU - Aldana Yarlequé, Cristhian

AU - Verástegui Huanca, Lucio Leo

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2020.

PY - 2020

Y1 - 2020

N2 - It is estimated the relationship between the investment in innovation activities, the results of innovation and productivity in Peruvian manufacturing firms, using the multi-equation model, called the CDM model, which studies the entire innovation process. The quantile regression approach was used, using data from the II National Survey of Innovation in the Manufacturing Industry 2015 in Peru. The findings were that technological innovation is associated with a 56% increase in productivity in the company. Finally, the quantile regression approach shows that the effect of technological innovation on the firm’s productivity is heterogeneous, increasing the effect on bigger firms. If investment in technological activities increases by 1%, then the labor productivity increases by 0.22% and the returns of innovation depend on the entrepreneurial position according the distribution of productivity.

AB - It is estimated the relationship between the investment in innovation activities, the results of innovation and productivity in Peruvian manufacturing firms, using the multi-equation model, called the CDM model, which studies the entire innovation process. The quantile regression approach was used, using data from the II National Survey of Innovation in the Manufacturing Industry 2015 in Peru. The findings were that technological innovation is associated with a 56% increase in productivity in the company. Finally, the quantile regression approach shows that the effect of technological innovation on the firm’s productivity is heterogeneous, increasing the effect on bigger firms. If investment in technological activities increases by 1%, then the labor productivity increases by 0.22% and the returns of innovation depend on the entrepreneurial position according the distribution of productivity.

KW - CDM

KW - Manufacturing sector

KW - Productivity

KW - Technological innovation

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DO - 10.1007/978-3-030-39512-4_66

M3 - Contribución a la conferencia

AN - SCOPUS:85081910519

SN - 9783030395117

T3 - Advances in Intelligent Systems and Computing

SP - 421

EP - 426

BT - Intelligent Human Systems Integration - Proceedings of the 3rd International Conference on Intelligent Human Systems Integration IHSI 2020

A2 - Ahram, Tareq

A2 - Karwowski, Waldemar

A2 - Vergnano, Alberto

A2 - Leali, Francesco

A2 - Taiar, Redha

PB - Springer

T2 - 3rd International Conference on Intelligent Human Systems Integration, IHSI 2020

Y2 - 19 February 2020 through 21 February 2020

ER -

Ortíz Berrú JC, Aldana Yarlequé C, Verástegui Huanca LL. Impact of technological innovation on the productivity of manufacturing companies in Peru. En Ahram T, Karwowski W, Vergnano A, Leali F, Taiar R, editores, Intelligent Human Systems Integration - Proceedings of the 3rd International Conference on Intelligent Human Systems Integration IHSI 2020: Integrating People and Intelligent Systems. Springer. 2020. p. 421-426. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-39512-4_66

Impact of technological innovation on the productivity of manufacturing companies in Peru

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