Analysis of the Financial Efficiency of Companies in the Industrial Sector during COVID-19: Case Study in Peru
2022 Ieee World Ai Iot Congress (Aiiot)
; : 59-64, 2022.
Article
in English
| Web of Science | ID: covidwho-2070275
ABSTRACT
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.
Full text:
Available
Collection:
Databases of international organizations
Database:
Web of Science
Type of study:
Case report
Country/Region as subject:
South America
/
Peru
Language:
English
Journal:
2022 Ieee World Ai Iot Congress (Aiiot)
Year:
2022
Document Type:
Article
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