Análisis comparativo de la rentabilidad empresarial en Ucrania y Polonia

  • Mykhailo Luchko Department of Accounting and Control in Public Administration, West Ukrainian National University
  • Stanislaw Szmitka Department of Economics, Faculty of Humanitarian, Social Sciences and Technology, Olsztyn University, Poland
  • Nataliia Dziubanovska Department of Applied Mathematics, West Ukrainian National University
  • Iryna Vovk Department of Innovation and Services Management, Ternopil Ivan Puluj National Technical University

DOI:

https://doi.org/10.37610/84.681

Publicado

10-12-2024

Resumen

Este artículo investiga la actividad empresarial en dos países (Polonia y Ucrania) en términos de rentabilidad. Los objetivos de la investigación se alcanzan mediante la indagación científica y el análisis comparativo de datos sobre la rentabilidad empresarial. El artículo pretende determinar la relación entre las operaciones empresariales rentables y las variables que las afectan. Asimismo, identificar las variables más significativas e influyentes del conjunto para cada país y comparar los resultados nacionales. Los autores realizaron un análisis de regresión adaptativa multivariante intelectual de las actividades empresariales. La rentabilidad es la variable dependiente. Las relaciones se investigan para variables como el número de empresas, el número de empleados, los costes laborales, la población del país, la inmigración, la emigración y la inversión de capital. Los resultados del análisis y la matriz de coeficientes del modelo se obtienen utilizando el programa STATISTICA, en particular el análisis Data Mining/MAR Splines. La ecuación resultante de los paneles de regresión multivariante y de regresión splines indica que las empresas pueden alcanzar una rentabilidad óptima en condiciones diferentes en los dos países, es decir, valores máximos de las distintas variables. Los desarrollos teóricos de este trabajo pueden aplicarse en la práctica, lo que lo convierte en un recurso valioso.

Palabras clave:

Probabilidad, datos, análisis de splines Minning/MAR, análisis de datos intelectuales, modelización, regresión, spline

Agencias de apoyo

No

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