0000000000278840
AUTHOR
Inna ŠTeinbuka
COVID-19 Lessons and Post-pandemic Recovery: A Case of Latvia.
The research was supported by the NATIONAL RESEARCH PROGRAMME “LATVIAN HERITAGE AND FUTURE CHALLENGES FOR THE SUSTAINABILITY OF THE STATE” project “CHALLENGES FOR THE LATVIAN STATE AND SOCIETY AND THE SOLUTIONS IN INTERNATIONAL CONTEXT" (INTERFRAME-LV, Project No.VPP-IZM-2018/1-0005).
Alignments of Latvian economy in the context of European integration
Cooperation Formats of China and Europe: Synergies and Divergences
Abstract This contribution articulates the synergies and divergences of the various formats of cooperation between China and the European countries. The EU and China have a strong interest in each other’s flagship initiatives, namely the Investment Plan for Europe, and the One Belt, One Road Initiative (Silk Road Economic Belt and 21st-Century Maritime Silk Road). The authors argue that there are certain synergies between these initiatives. Furthermore, the new initiative EU-China Connectivity Platform is aimed to explore these synergies. The authors explore the recent developments in the EU-China investments, trade cooperation and the challenges of the ever-growing CEEC-China partnership i…
Latvijas VLA modeļa pilnveides mehānismi, lai Latvijas gadījumam nodrošinātu starptautiski konkurētspējīgu vispārējā līdzsvara modeli klimata politikas ietekmes uz tautsaimniecību novērtēšanai un tās efektīvu sasaisti ar FEI TIMES modeli
Nodevums projekta “Klimata mērķu ekonomiskās ietekmes modelēšana un analīze” ietvaros
Latvijas makroekonomiskās attīstības scenāriju un prognožu novērtējums, lai izvērtētu Eiropas Komisijas pārskatīto energoefektivitātes un atjaunoto energoresursu direktīvu ietekmi
Nodevums projekta “Klimata mērķu ekonomiskās ietekmes modelēšana un analīze” ietvaros.
Pattern Identification by Factor Analysis for Regions with Similar Economic Activity Based on Mobile Communication Data
The study analyses the regions’ economic activity in Latvia using Latvia Mobile Telephone (LMT) mobile communication data from July 2015 to January 2017. The call activity and a number of unique phone users by 119 Latvia counties and biggest cities were analysed in two steps: at first method of principal components was used to explain the variance in the data and then exploratory factor analysis was applied. Three factors were identified that describe 87.5% of the total variance of the aggregated daily data. The first factor is related more to the regions with higher economic activity, the second and third factors capture, respectively, lowers call activity during weekdays and are related t…