Pregled bibliografske jedinice broj: 1025592
A Comparative Evaluation of Operational Efficiency of Wood Industry Using Data Envelopment Analysis and Malmquist Productivity Index: the Cases of Slovenia and Croatia
A Comparative Evaluation of Operational Efficiency of Wood Industry Using Data Envelopment Analysis and Malmquist Productivity Index: the Cases of Slovenia and Croatia // Drvna industrija : znanstveno-stručni časopis za pitanja drvne tehnologije, 70 (2019), 3; 287-298 doi:10.5552/drvind.2019.1937 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1025592 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A Comparative Evaluation of Operational Efficiency of Wood Industry Using Data Envelopment Analysis and Malmquist Productivity Index: the Cases of Slovenia and Croatia
(A comparative evaluation of operational efficiency of wood industry using data envelopment analysis and Malmquist productivity index)
Autori
Kropivšek, Jože ; Jošt, Matej ; Grošelj, Petra ; Motik, Darko ; Pirc Barčić, Andreja ; Perić, Ivana
Izvornik
Drvna industrija : znanstveno-stručni časopis za pitanja drvne tehnologije (0012-6772) 70
(2019), 3;
287-298
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
financial analysis ; financial ratio ; wood industry ; Slovenia ; Croatia ; DEA ; Malmquist Index
Sažetak
The wood industry, as a traditional sector, represents a very important part of the economy in terms of ensuring a sustainable development of society and transition to a low-carbon society in both countries studied, Slovenia and Croatia. For its further development, it is crucial to know the current position of the industry. The best way to achieve this is an analysis of fi nancial data and international comparative evaluation of its operational effi ciency. The aim of the research is to compare the relative effi ciency of the wood industry using Data Envelopment Analysis (DEA) and the Malmquist Productivity Index (MI), focusing on the Slovenian and Croatian wood industry sectors (C16 and C31) for a recent fi ve-year period (from 2013-2017). With this purpose, the combined measure DEA/MI was applied. The analysis includes only the highest rated companies with more than fi ve employees, divided into 12 clusters regarding the company size. As a result, it was established that clusters CRO- C31- micro, CRO-C16-micro and SI- C16-larger have the highest operational effi ciency, due to the effects of different fi nancial indicators, especially activity and liquidity ratios. In general, within the grouped clusters regarding country and subsector, groups SI-C16 and CRO- C31 achieve the highest values for the average of weighted score of effi ciency, while CRO-C16 achieves the lowest values.
Izvorni jezik
Engleski
Znanstvena područja
Drvna tehnologija
POVEZANOST RADA
Ustanove:
Fakultet šumarstva i drvne tehnologije
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus