Kas Turtėjo Greičiausiai? Baltijos Šalių Ūkio Augimo 1913–1938 Metais Palyginimas

Norkus, Zenonas

doi:10.15388/polit.2015.3.8428

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…Gross Domestic Product is defined as the ultimate value of goods and services created over a given period in the country (Statistical Yearbook of Lithuania, 2013). According to Norkus (2015), GDP shows economic productivity and its ability to create new assets over a period of time. Stundžienė, Bliekienė (2012), as a result of the impact of economic fluctuations on the survey of Lithuanian enterprises, have found that the performance of enterprises is changing in the light of the economic situation in the country and that there is a particularly close connection between GDP growth and corporate income and profit growth.…”

Section: Methodology Of the Assessment Of Energy Sector Influence On mentioning

confidence: 99%

Assessment of Lithuanian Energy Sector Influence on GDP

Mačerinskienė¹,

Kremer-Matyskevic²

2017

Montenegrin Journal of Economics

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The relationship between the Economic growth and Energy Sector performance is unquestionable. Honewer it is not an easy task to evaluate the strength of this relationship. The majority of scientists are investigating the impact of certain Energy Sector's activities on the overall energy consumption, climate change or Economic growth. This article analyzes the influence of Energy Sector to GDP of Lithuania. The objective of the research is to show how the results of Lithuanian Energy Sector in 2005-2015 have been changed and to determine their impact on GDP. The concept of Energy Sector is presented first. Secondly, a methodology for analyzing the performance of the Economic growth and Energy Sector is described. Thirdly, the analysis of the activities of Energy Sector and its influence on GDP has been analyzed. The proposed model of the impact of the Energy Sector's activities on the growth of GDP in the article combines six main aspects of the research: participants in the Energy Sector; Energy balance indicators; Changes in energy product prices; The value added created by the Energy Sector; The main taxes paid by Energy Sector as part of the National budget revenue; The net profitability of the Energy Sector. This model is applicable for analyzing the aggregate performance indicators of Energy Sector and its impact on the growth of GDP. Hypothesis of this research-Lithuanian energy sector has a statistically significant influence on GDP. The findings showed that GDP and Energy Sector indicators, after a year of crisis, tended to grow. But the impact of these indicators on GDP is weak. However, particularly high correlation ratios between them may indirectly affect the change in GDP.

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Section: Methodology Of the Assessment Of Energy Sector Influence On mentioning

confidence: 99%

Assessment of Lithuanian Energy Sector Influence on GDP

Mačerinskienė¹,

Kremer-Matyskevic²

2017

Montenegrin Journal of Economics

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“…taip pat Z. Norkus, 2015. ūkiniam lygiui vertinti lieka jau minėti F. Šipicos skaičiavimai. Kol nežinome jų metodikos, keblu pasakyti, ar ir jiems reikia pataisų, panašių į tas, kurias pasiūlėme A. Rimkos skaičiavimams.…”

Section: Antroji a Rimkos Klaida: Ar Valdžios Sektorius Yra Tik Naštunclassified

Apie pirmuosius nacionalinių pajamų skaičiavimus tarpukario Lietuvoje ir Albino Rimkos juose padarytas klaidas, pagreitinusias demokratijos žlugimą

Norkus¹

2017

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The economic output growth of Baltic countries in 1913–1938: a quantitative cross-country comparison

Norkus

2018

Journal of Baltic Studies

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Kas Turtėjo Greičiausiai? Baltijos Šalių Ūkio Augimo 1913–1938 Metais Palyginimas

Cited by 3 publications

References 7 publications

Assessment of Lithuanian Energy Sector Influence on GDP

Assessment of Lithuanian Energy Sector Influence on GDP

Apie pirmuosius nacionalinių pajamų skaičiavimus tarpukario Lietuvoje ir Albino Rimkos juose padarytas klaidas, pagreitinusias demokratijos žlugimą

The economic output growth of Baltic countries in 1913–1938: a quantitative cross-country comparison

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