Determinants of Non-price Competitiveness of New EU Member States: Bayesian Model Averaging Approach
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F18%3APU130235" target="_blank" >RIV/00216305:26510/18:PU130235 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Determinants of Non-price Competitiveness of New EU Member States: Bayesian Model Averaging Approach
Original language description
This paper examines the determinants of non-price competitiveness using Bayesian model averaging. over the past twenty years, the EU New Member States have experienced improvements in export performance. This development has been driven by gains of the non-price competitiveness.However, the causes and determiannts of this growth have not been identified so far. Therefore, we construct an export price index that adjusts for changes in non-price factors based on Benkovkis and Worz (2012). Ind addition to the index, we analyse detrminants of non-price competitiveness in 13 new EU member states between 2006-2016. It is evident that hte most significant indicators are associated with aducation, credit GDP and foreign market size.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
50602 - Public administration
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
32nd International-Business-Information-Management-Association Conference
ISBN
978-0-9998551-1-9
ISSN
—
e-ISSN
—
Number of pages
11
Pages from-to
1625-1635
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Sevilla
Event date
Nov 15, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000508553202069