8 Ergebnisse
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In: Ekonomický časopis: časopis pre ekonomickú teóriu, hospodársku politiku, spoločensko-ekonomické prognózovanie = Journal of economics, Band 71, Heft 6-7, S. 405-427
ISSN: 0013-3035
In: Environmental science and pollution research: ESPR, Band 30, Heft 29, S. 73009-73017
ISSN: 1614-7499
In: Journal of international trade & economic development: an international and comparative review, Band 31, Heft 4, S. 493-510
ISSN: 1469-9559
In: Journal of economic studies, Band 49, Heft 2, S. 364-378
ISSN: 1758-7387
PurposeInternational tourism and FDI inflows have generated detectable beneficial impacts on the economy of Estonia in the last decades. However, recently, poor international market conditions mostly caused by the trade war and COVID-19 pandemic have been a potential threat to these two factors. Besides, the poor performance of investments in recent years is behind the stagnation of productivity in Estonia. This study examines the dynamics of the effects of these factors on the rate of economic growth in Estonia and provides policy implications in line with sustained recovery.Design/methodology/approachA nonlinear ARDL technique is employed in this study to investigate the long-run effects of FDI and the degree of tourism specialization on economic growth rate.FindingsOur findings indicate that the economic growth rate of Estonia in the long run has been positively affected by both the rate of FDI inflows and international tourism.Originality/valueThis is the first study that employs a non-linear approach to investigate the dynamics of long-run effects of FDI and tourism specialization on the rate of economic growth in Estonia and provides policy implications in line with optimal growth strategy considering the economic structure, the current level of productivity and available potentials in this economy.
SSRN
In: JRPO-D-22-00182
SSRN
SSRN
In: The Indian economic journal, Band 67, Heft 3-4, S. 233-245
ISSN: 2631-617X
This article aims at assessing the effects of the Federal Reserve's quantitative easing (QE) programmes on both economic activity and prices in the United States. Using a structural vector autoregression (SVAR) model on monthly data from January 2007 to March 2017, it is assumed that a substantial fraction of the liquidity injected under the Federal Reserve's quantitative easing programmes was used to artificially inflate stock prices. Furthermore, QE is assumed to be a competitive devaluation programme. The findings reveal that QE helps support economic activity, while its effect on inflation is rather small and insignificant. Besides, it is also found that QE boosts stock prices but does not have a significant effect on the US dollar.