Detailed Information on Publication Record
2020
Capital Investments and Manufacturing Firms’ Performance: Panel-Data Analysis
GRODZIĆ, Vanja, Branislav MARIĆ, Mladen RADIŠIČ, Jarmila ŠEBESTOVÁ, Marcin LIS et. al.Basic information
Original name
Capital Investments and Manufacturing Firms’ Performance: Panel-Data Analysis
Authors
GRODZIĆ, Vanja (688 Serbia, guarantor), Branislav MARIĆ (688 Serbia), Mladen RADIŠIČ (688 Serbia), Jarmila ŠEBESTOVÁ (203 Czech Republic, belonging to the institution) and Marcin LIS (616 Poland)
Lis Marcin.
Lis Marcin.
Edition
Sustainability, 2020, 2071-1050
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
50204 Business and management
Country of publisher
Switzerland
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
RIV identification code
RIV/47813059:19520/20:A0000131
Organization unit
School of Business Administration in Karvina
UT WoS
000522460200407
Keywords in English
capital investments; firm performance; profitability; sustainability; panel data
Tags
International impact, Reviewed
Změněno: 14/8/2020 14:11, doc. Mgr. Ing. Jarmila Duháček Šebestová, Ph.D.
Abstract
V originále
The main goal of this study was to examine the effects of capital investments on firm performance, using panel-data analysis. For this purpose, financial data were gathered for 60 manufacturing firms based in Serbia, in the period from 2004 to 2016. The main research hypotheses were developed in accordance with the definition, nature, and time aspect of capital investments. Therefore, empirical expectation of this study was that the relationship between capital investments and firm performance should be positive—they probably bring losses to the firm in the short term, but they should increase firm performance in the long term. Finally, the results have indeed shown that capital investments have statistically significant negative effect on the short-term performance, but positive effect on the long-term performance of the analyzed firms, while controlling for time-fixed effects and certain internal factors.