Analysis of the Financial Efficiency of Companies in the Industrial Sector during COVID-19: Case Study in Peru

Lucero Sovero Rivera, Nicole Ninamango Origuela, Grimaldo Quispe Santivanez

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

The pandemic has created an environment of considerable uncertainty, forcing companies to efficiently manage their resources to optimize their profits, prevent falling revenues, sustain the chain of payments and preserve employment. The objective of this research is to apply the Data Envelopment Analysis (DEA) method to know the financial impact of the COVID-19 crisis on Peruvian companies in the industrial sector, which are listed on the Bolsa de Valores de Lima. Multi-criteria model and correlation analysis were used for the validation of financial ratios, DEA method was used to evaluate efficiencies and Malmquist Productivity Index (MPI) to analyze changes in performance by quarter. Results indicate that 77% of companies are inefficient, equity items and administrative expenses are the most crucial for these companies to improve their performance; in addition, there is a deterioration of-31.5% in the total productivity of the sector mainly caused by the decrease in technological progress. This research offers decision-makers a tool that allows them to devise strategies to face the continuing financial crisis and promote investment in the use of technologies that may contribute to the improvement of productivity. copy; 2022 IEEE.

Idioma originalInglés estadounidense
Título de la publicación alojada2022 IEEE World AI IoT Congress, AIIoT 2022
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas59-64
Número de páginas6
ISBN (versión digital)9781665484534
DOI
EstadoPublicada - 2022
Evento2022 IEEE World AI IoT Congress, AIIoT 2022 - Seattle, Estados Unidos
Duración: 6 jun. 20229 jun. 2022

Serie de la publicación

Nombre2022 IEEE World AI IoT Congress, AIIoT 2022

Conferencia

Conferencia2022 IEEE World AI IoT Congress, AIIoT 2022
País/TerritorioEstados Unidos
CiudadSeattle
Período6/06/229/06/22

Nota bibliográfica

Publisher Copyright:
© 2022 IEEE.

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