Pregled bibliografske jedinice broj: 1174434
RELATIONS BETWEEN ENVIRONMENTAL, SOCIAL AND ECONOMIC VARIABLES OF THE NAUTICAL PORT SYSTEM: A CROATIAN CASE
RELATIONS BETWEEN ENVIRONMENTAL, SOCIAL AND ECONOMIC VARIABLES OF THE NAUTICAL PORT SYSTEM: A CROATIAN CASE // 19th International Conference on Transport Science (ICTS 2020): Maritime, Transport and Logistics Science, Conference proceedings / Zanne, Marina ; Bajec, Patricija ; Twrdy, Elen (ur.).
Portorož: Fakulteta za pomorstvo in promet Univerza v Ljubljani, 2020. str. 214-219 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1174434 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
RELATIONS BETWEEN ENVIRONMENTAL, SOCIAL AND ECONOMIC VARIABLES OF THE NAUTICAL PORT SYSTEM: A CROATIAN CASE
Autori
Marušić, Eli
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
19th International Conference on Transport Science (ICTS 2020): Maritime, Transport and Logistics Science, Conference proceedings
/ Zanne, Marina ; Bajec, Patricija ; Twrdy, Elen - Portorož : Fakulteta za pomorstvo in promet Univerza v Ljubljani, 2020, 214-219
ISBN
978-961-7041-08-8
Skup
19th International Conference on Transport Science (ICTS 2020)
Mjesto i datum
Portorož, Slovenija, 17.09.2020. - 18.09.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Nautical ports ; Economic performance ; Sustainability dimensions ; Correlation matrix
(nautical ports ; economic performance ; sustainability dimensions ; correlation matrix)
Sažetak
This paper investigates relationships between environmental, social, and economic dimensions mapped as sustainability input variables in the recreational boating industry, on the example of the Croatian Nautical Port System (CNPS). All three dimensions can be presented as the following sets: the usage of natural resources, employment, income, and nautical demand. Nowadays, in a dynamic organizational environment, to make a decision, it is important to consider and integrate as many variables as possible, which fall into the categories mentioned above. The paper proposes the model-based analysis with a correlation matrix to determine a minimal number of input variables. The results show strong hidden relations between the input variables from the different dimensions. Consequently, the optimal number of input variables is less than then the number of dimensions.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija