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master's thesis
Analiza regionalnih lanaca opskrbe zemalja EU metodom kvantilne regresije
Rijeka: University of Rijeka, Faculty of Economics and Business, 2023. urn:nbn:hr:192:982205
Šekimić, Dora
University of Rijeka
Faculty of Economics and Business

Institutional repository: Repository of the University of Rijeka, Faculty of Economics and Business

Cite this document

Šekimić, D. (2023). Analiza regionalnih lanaca opskrbe zemalja EU metodom kvantilne regresije (Master's thesis). Rijeka: University of Rijeka, Faculty of Economics and Business. Retrieved from https://urn.nsk.hr/urn:nbn:hr:192:982205

Šekimić, Dora. "Analiza regionalnih lanaca opskrbe zemalja EU metodom kvantilne regresije." Master's thesis, University of Rijeka, Faculty of Economics and Business, 2023. https://urn.nsk.hr/urn:nbn:hr:192:982205

Šekimić, Dora. "Analiza regionalnih lanaca opskrbe zemalja EU metodom kvantilne regresije." Master's thesis, University of Rijeka, Faculty of Economics and Business, 2023. https://urn.nsk.hr/urn:nbn:hr:192:982205

Šekimić, D. (2023). 'Analiza regionalnih lanaca opskrbe zemalja EU metodom kvantilne regresije', Master's thesis, University of Rijeka, Faculty of Economics and Business, accessed 19 September 2024, https://urn.nsk.hr/urn:nbn:hr:192:982205

Šekimić D. Analiza regionalnih lanaca opskrbe zemalja EU metodom kvantilne regresije [Master's thesis]. Rijeka: University of Rijeka, Faculty of Economics and Business; 2023 [cited 2024 September 19] Available at: https://urn.nsk.hr/urn:nbn:hr:192:982205

D. Šekimić, "Analiza regionalnih lanaca opskrbe zemalja EU metodom kvantilne regresije", Master's thesis, University of Rijeka, Faculty of Economics and Business, Rijeka, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:192:982205

Metadata
TitleAnaliza regionalnih lanaca opskrbe zemalja EU metodom kvantilne regresije
Title (english)An analysis of regional supply chains of EU countries using the quantile regression method
AuthorDora Šekimić
MentorDavor Mance (mentor)
Committee memberDavor Mance (predsjednik povjerenstva)
Committee memberTomislav Galović (član povjerenstva)
Committee memberDejan Miljenović (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Economics and Business
Rijeka
Defense date and country2023-09-18, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Abstract
Sve je veća primjena metode panel analize u empirijskim znanostima zbog brojnih prednosti koje pruža, poput veće učinkovitosti podataka, informacija i varijabilnosti, koje uobičajeno korištene metode statističke analize ne sadrže. Panel analiza je u društvenim znanostima dobra za oblikovanje i testiranje složenijih bihevioralnih modela, može izmjeriti dinamiku promjene i osigurati kontrolu nad neopaženim varijablama. U radu se provodi empirijsko istraživanje regionalnih lanaca opskrbe zemalja Europske unije uz pomoć ekonometrijskih i statističkih metoda. Analiza je provedena na broju promatranih jedinica od 27 zemalja članica Europske unije u vremenskom razdoblju od 2000. do 2019. godine, metodom slučajnih efekata, prvih razlika fiksnih efekata, GMM metodom i kvantilnom regresijom. U istraživanju će se kvantilna regresija pokazati kao adekvatna za odabran skup podataka i dati će bolju procjenu u odnosu na ostale modele. Zaključuje se da je hrvatsko gospodarstvo dinamički dobro integrirano u regionalni lanac opskrbe Europske unije, što omogućava povećanje poslovne konkurentnosti, učinkovitosti i potencijalne koristi za Hrvatsku u globalnoj organizaciji proizvodnje.
Abstract (english)
The application of panel analysis method in empirical sciences is increasing due to the numerous advantages it provides, such as greater efficiency of data, information and variability, which the commonly used methods of statistical analysis do not contain. Panel analysis is good in the social sciences for designing and testing more complex behavioral models, it can measure the dynamics of change and provide control over unobserved variables. Empirical research of regional supply chains of European Union countries is carried out in the paper with the help of econometric and statistical methods. The analysis was carried out on the number of observed units from 27 member states of the European Union in the time period from 2000 to 2019, using the method of random effects, first differences of fixed effects, the GMM method and quantile regression. In the research, quantile regression will prove to be adequate for the selected data set and will provide a better estimate compared to other models. It is concluded that the Croatian economy is dynamically well integrated into the regional supply chain of the European Union, which enables an increase in business competitiveness, efficiency and potential benefits for Croatia in the global organization of production.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:192:982205
Study programmeTitle: Business economics; specializations in: Finance, Entrepreneurship, Management, Finance and Accounting, Marketing, International Business, IT Business
Course: Management
Study programme type: university
Study level: graduate
Academic / professional title: sveučilišni/a magistar/magistra ekonomije (sveučilišni/a magistar/magistra ekonomije)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2023-11-20 12:38:52