A Comparison of the Economic Growth of the Baltic States between the Two World Wars

2016 ◽  
Vol 12 (1) ◽  
pp. 1-23 ◽  
Author(s):  
Zenonas Norkus

AbstractThis paper contributes to cliometric research on the economic output of Finland, Estonia, Lithuania and Latvia between 1913 and 1938. For Finland, gross domestic product (GDP) values from Maddison project dataset are accepted. For Estonia, Arno Köörna’s and Jaak Valge’s estimates are endorsed with reservations for 1923–1924. According to an optimistic estimate, Lithuania’s GDP per capita was below all-Russian mean in 1913, but was not less than USSR level in 1938, while Gediminas Vaskela’s pessimistic estimate of the 1938 Lithuanian GDP implies its GDP growth underperformance. Using new sources, the first estimates of Latvia’s output for the 1913–1938 period in cross-country and cross-temporally comparable measurement units (1990 Geary Khamis international $) are substantiated. Under optimistic estimates of Lithuanian GDP growth, this country was on par with Finland in terms of annual growth rates, with Latvia following next and Estonia displaying the weakest growth performance.

Entropy ◽  
2021 ◽  
Vol 23 (7) ◽  
pp. 890
Author(s):  
Jakub Bartak ◽  
Łukasz Jabłoński ◽  
Agnieszka Jastrzębska

In this paper, we study economic growth and its volatility from an episodic perspective. We first demonstrate the ability of the genetic algorithm to detect shifts in the volatility and levels of a given time series. Having shown that it works well, we then use it to detect structural breaks that segment the GDP per capita time series into episodes characterized by different means and volatility of growth rates. We further investigate whether a volatile economy is likely to grow more slowly and analyze the determinants of high/low growth with high/low volatility patterns. The main results indicate a negative relationship between volatility and growth. Moreover, the results suggest that international trade simultaneously promotes growth and increases volatility, human capital promotes growth and stability, and financial development reduces volatility and negatively correlates with growth.


Author(s):  
L.V. Detochenko

The role and place of the tourism industry in the economic complex of Georgia are considered; the conclusion is made about the “tourist miracle” taking place in the country, which is a factor of the economic growth of the republic. The differences between the concepts of “foreign visitors” and “foreign tourists” are presented. The increase in the contribution of the tourism industry and related industries involved in the tourism industry in the creation of the gross domestic product of the country, its impact on the growth of the Georgian budget and GDP per capita, the average monthly wage is shown. The conclusion about the need to increase the share of medium and long-term tourists among foreign visitors and tourists in the country is justified. The problems of the return of tourists, the long-term stay in Georgia, the differences of the countries-generators of tourist flows by these indicators have been studied. The changes in work and the prospects of various types of transport for the delivery of tourists to Georgia are analyzed, the measures to improve the tourist transport component are proposed. The correlation between the number of tourist arrivals and the average cost of tourists visiting Georgia from different countries is shown and the economic profitability of attracting Russian tourists, capable of filling all the tourist destinations of the country, contributing to the “tourist miracle” of Georgia is considered.


2020 ◽  
Vol 10 (2) ◽  
Author(s):  
Saleh Nagiyev

Demographic factors have sometimes occupied center-stage in the discussion of the sources of economic growth. In the 18th century, Thomas Malthus made the pessimistic forecast that GDP growth per capita would fall due to a continued rapid increase in world population. There is a straightforward accounting relationship when identifying the sources of economic growth: Growth Rate of GDP = Growth Rate of Population + Growth Rate of GDP per capita, where GDP per capita is simply GDP divided by population. This article examines the interconnection between economic development and the demographic policy of Azerbaijan. The article analyzes various approaches of the impact of demographic factors on the economic development of a country. The following demographic factors have been identified and described as significant for the economic development: fertility dynamics, mortality dynamics, population size and gender and age structure.


Author(s):  
Piotr Koryś ◽  
Maciej Tymiński

Abstract This paper presents the estimates of the gross domestic product (GDP) of the Congress Kingdom of Poland for the period 1870–1912. The authors used bottom-up methodology and calculated sectoral added values using historical economic, social, and demographic data. The presented results offer first ever insight into the structure of sectoral added values in the Congress Kingdom of Poland during the period of first globalization and first reliable estimates of GDP of the Congress Kingdom of Poland. All results are presented in Geary–Khamis dollars PPP1990 and are compatible with Maddison dataset.


2019 ◽  
Vol 113 ◽  
pp. 381-383
Author(s):  
Ronald Eberhard Tundang

For over five decades, countries in Southeast Asia and its surroundings in Asia, the Pacific Ocean, and Pacific Rim have enjoyed peace and stability, upon which economic growth and welfare have accumulated. The marvel of uninterrupted development has transformed them into a group of countries that are part of the engines of global economic growth. Over the period of 1967 until 2017, Southeast Asian region recorded growth in gross domestic product (GDP) per capita almost thirty-three times bigger, from USD 122 to USD 4,021. In 2016, the region represented 6.2 percent GDP of the world in 2016, almost doubled the share in 1967 at just 3.2 percent. The period also saw an immense trade growth from USD 9.7 billion to USD 2.2 trillion. Right now the region has become the third largest economy in Asia and the fifth largest in the world.


2017 ◽  
Vol 52 (4) ◽  
pp. 406-440 ◽  
Author(s):  
Andrey Korotayev ◽  
Stanislav Bilyuga ◽  
Alisa Shishkina

Our research suggests that the relation between GDP per capita and sociopolitical destabilization is not characterized by a straightforward negative correlation; it rather has an inverted U-shape. The highest risks are typical for the countries with intermediate values of GDP per capita, not the highest or lowest values. Thus, until a certain value of GDP per capita is reached, economic growth predicts an increase in the risks of sociopolitical destabilization. This positive correlation is particularly strong ( r = .94, R2 = .88) and significant for the intensity of antigovernment demonstrations. This correlation can be observed in a very wide interval (up to 20,000 of international 2014 dollars at purchasing power parities [PPPs]). We suggest that it is partially accounted for by the following regularities: (a) GDP growth in authoritarian regimes strengthens the pro-democracy movements, and, consequently, intensifies antigovernment demonstrations; (b) in the GDP per capita interval from the minimum to $20,000, the growth of GDP per capita correlates quite strongly with a declining proportion of authoritarian regimes and a growing proportion of intermediate and democratic regimes; and, finally, (c) GDP growth in the given diapason increases the level of education of the population, which, in turn, leads to a higher intensity of antigovernment demonstrations.


2018 ◽  
Vol 45 (1) ◽  
pp. 46-58 ◽  
Author(s):  
Minh Quang Dao

Purpose The purpose of this paper is to empirically test a more comprehensive model of economic growth using a sample of 28 lower middle-income developing countries. Design/methodology/approach The authors modify the conventional neoclassical growth model to account for the impact of the increase in the number of people working relative to the total population and that of the increase in the value added per worker over time. The authors then extend this model by incorporating the role of trade, government consumption, and human capital in output growth. Findings Regression results show that over three quarters of cross-lower middle-income country variations in per capita GDP growth rate can be explained by per capita growth in the share of public expenditures on education in the GDP, per capita growth in the share of government consumption in the GDP, per capita growth in the share of imports in the GDP, per capita growth in the share of manufactured exports in the GDP (not of that of total exports in the GDP), and the growth of the working population relative to the total population. Practical implications Statistical results of such empirical examination will assist governments in these countries identify policy fundamentals that are essential for economic growth. Originality/value To address the simultaneity bias, the authors develop a simultaneous equations model and are able to show that such model is more robust and helps explains cross-country variations in per capita GDP growth over the 2000-2014 period.


TRIKONOMIKA ◽  
2020 ◽  

This study investigates the impact of globalization toward economic growth in ASEAN countries during 2012 to 2017. The research method used judgmental sampling with samples of 11 countries. They were Brunei Darussalam, Cambodia, East Timor, Indonesia, Lao PDR, Malaysia, Myanmar, Philippines, Singapore, Thailand, and Vietnam. The analysis used path analysis to examine the impact between the variables of globalization and economic growth. Globalization was determined by globalization index, economic globalization, social globalization, and politic globalization. Real Gross Domestic Product (GDP) and Gross Domestic Product (GDP) per capita are used as a proxy for economic growth. The finding results are that globalization index, economic globalization, social globalization, and politic globalization have a significant positive association with Gross Domestic Product (GDP) and Gross Domestic Product (GDP) per capita. Overall globalization evidence the positive impact on economic growth in ASEAN Countries.


2019 ◽  
Vol 4 (7) ◽  
pp. 87-95
Author(s):  
DAVID ASLANISHVILI

This research will explore other possible financial vehicles that go beyond traditional sources of private capital offered by commercial banks. It will look at international experience and the opportunities to use public support, green bonds to raise green finance as well as the work of energy service companies (ESCOs) to finance green investments. We have offered our view of what should be done in fact (not in paper in Georgia as it has been in the past 15 years) to change the situation and end the negative and harmful monopoly of the commercial banks and the National Bank of Georgia and to have in place the two independent sources to attract and invest resources in Georgia. This will increase the capitalization of the country and is a proven way to eradicate the country›s lagging and accelerate economic growth. Why should we focus on this issue? 1. According to WHO›s latest data, over 7 million people die each year because of breathing air with solid particles, and one of its main pollutants is vehicles. (Cereceda Rafael, Cuddy Alice. 2018.....) 2. Georgia’s Capital - Tbilisi - is occupying the 3rd place in the light of air pollution, 3. Due to the critical situation, the public demand to live in a clean ecological environment, day by day increases. In our research the following Questions are discussed and overviewed: • Is it important to act on the issues of Georgia›s position on the global scale? • What unique components can be used to prolong the average life of people? • What investors do the country need for building ecoprojects and their realization? • What type of ecofriendly technologies can be developed for potential customers in Georgia? In that field we have studied the following: • The links between economic growth, green growth (e.g. clean energy), high living standards and capital markets; • Why the Commercial Banks are the main and the only source of finance for green (and not only) investments in Georgia; • Situation on capital markets of Georgia (stock and bond markets) - as an indicator of economic growth and an alternative source of financing; • Possible benefits of non-bank financing, including for clean energy projects and the SME sector (e.g. small hydro, energy efficiency); • The role of government in supporting capital market development; • The role of international community (donors, IFIs, international organization) to support Georgia’s efforts to develop capital markets Georgia – Recent level of development To illustrate the wide gap between the developed economy and the weak one, let us compare the current level of per capita GDP of Switzerland, Hungary, Poland to Georgian one (source: https://tradingeconomics.com/switzerland/gdpper-capita; https://tradingeconomics.com/poland/gdp-percapita; https://tradingeconomics.com/hungary/gdp-per-capita; https://tradingeconomics.com/georgia/gdp-per-capita); • The Gross Domestic Product per capita in Switzerland was last recorded at 76667.44 US dollars in 2017. The GDP per Capita in Switzerland is equivalent to 607 percent of the world›s average. • The Gross Domestic Product per capita in Hungary was last recorded at 15647.85 US dollars in 2017. The GDP per Capita in Hungary is equivalent to 124 percent of the world›s average. • The Gross Domestic Product per capita in Poland was last recorded at 15751.23 US dollars in 2017. The GDP per Capita in Poland is equivalent to 125 percent of the world›s average. • The Gross Domestic Product per capita in Georgia was last recorded at 4290.17 US dollars in 2017).The GDP per Capita in Georgia is equivalent to 34 percent of the world›s average.


2020 ◽  
Author(s):  
Matthew G. Burgess ◽  
Ryan E. Langendorf ◽  
Tara Ippolito ◽  
Roger Pielke

Authoritative economic growth forecasts are often optimistically biased. Negatively skewed variation--negative shocks being larger than positive shocks--could contribute to bias by making long-run average growth smaller than typical-year (median) growth. This positively biases forecasts based on typical years. We compare medians and means in real per-capita GDP growth across countries, regions, and time windows from 1820-2016. Over decadal periods, we find mean growth rates <1%/y smaller than median growth rates in most countries and regions (median 0.23%/y across countries). Surprisingly, we find both large- and medium-magnitude shocks contribute to these differences, rather than only large ‘black swan’ events. We find negative skewness correlated with high levels and slow growth of per-capita GDP and population, and high per-capita GDP growth volatility, building on previous studies. We find negative skewness alone insufficient to explain recent growth over-projections by the International Monetary Fund (IMF) and the U.S. Congressional Budget Office (CBO).


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