Semiparametric spatio-temporal analysis of regional GDP growth with respect to renewable energy consumption levels
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F20%3A00053591" target="_blank" >RIV/61384399:31140/20:00053591 - isvavai.cz</a>
Result on the web
<a href="https://onlinelibrary.wiley.com/doi/full/10.1002/asmb.2445" target="_blank" >https://onlinelibrary.wiley.com/doi/full/10.1002/asmb.2445</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/asmb.2445" target="_blank" >10.1002/asmb.2445</a>
Alternative languages
Result language
angličtina
Original language name
Semiparametric spatio-temporal analysis of regional GDP growth with respect to renewable energy consumption levels
Original language description
Main topics of the document: GDP growth; Moran's eigenvector map; renewable energy; spatial filtering
Czech name
—
Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Applied Stochastic Models in Business and Industry
ISSN
1524-1904
e-ISSN
—
Volume of the periodical
36
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
14
Pages from-to
145-158
UT code for WoS article
000518398100018
EID of the result in the Scopus database
2-s2.0-85069456948