THE IMPACT OF TRADE OPENNESS IN LATIN AMERICA ON ECONOMIC GROWTH

2010 ◽  
Vol 1 (2) ◽  
pp. 150
Author(s):  
Fanny Wigeborn
Keyword(s):  
Economic Growth ◽  
Latin America ◽  
Trade Openness ◽  
Common View ◽  
Single Measure ◽  
Explanatory Variables ◽  
Before And After ◽  
Goods Market ◽  
The Common ◽  
The Impact

This paper investigates empirically the notion that enhanced levels of foreign trade as a result of the deregulation in international goods market would have spurred economic development and demonstrates that it is not obvious. We shed light on how this relationship applies to the special case of Latin America before and after “La Apertura”, the trade liberalization that took place in the late 80s and early 90s. Results show that openness solely is not a determinant of economic growth for the observed countries which stand in contrast to the general findings of existing literature on the topic. Using a single measure of trade openness togetherwith other explanatory variables, this paper fail to confirm the common view that openness is associated with growth.

Measuring the effect of trade liberalisation on the consumption of non-renewable energy sources in Latin America & the Caribbean Countries

2021 ◽  
Vol 10 (4) ◽  
pp. 349-358
Author(s):  
Matheus Koengkan ◽  
José Alberto Fuinhas ◽  
Isabel Vieira
Keyword(s):  
Economic Growth ◽  
Latin America ◽  
Renewable Energy ◽  
Error Correction ◽  
Fossil Fuels ◽  
Renewable Energy Sources ◽  
Trade Openness ◽  
Energy Sources ◽  
The Caribbean ◽  
The Impact

This article investigates the impact of trade openness on the consumption of fossil fuels for a panel of fourteen LAC countries over the period from 1990 to 2014. To this end, a PARDL model in unrestricted error-correction form is estimated. The results of the model regression point indicate that the impact of economic growth and elasticity of trade openness are statistically significant at the 1% level and contribute to increased consumption of fossil fuels in the LAC countries. However, the impact and elasticity of consumption of renewable energy are statistically significant at 1% and 5% levels and thus contribute to decreasing consumption of fossil fuels.

scholarly journals Does Economic Integration Affect Inequality in Developing Countries? Evidence from a Global Sample

2020 ◽  
Vol 9 (2) ◽  
pp. 579-588
Author(s):  
Le Thanh Tung ◽  
Pham Nang Thang ◽  
Lam Tu Uyen
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Latin America ◽  
Economic Integration ◽  
Direct Investment ◽  
Technology Development ◽  
Negative Impact ◽  
Trade Openness ◽  
The Impact ◽  
The Relationship

Economic integration plays an important role in promoting economic growth. However, it can also increase inequality, although the relationship between economic integration and inequality is still unclear. Our paper aims to study the impact of economic integration on income inequality with a global sample regarding 59 developing countries collected from 1996-2016. Besides, we divide the overall sample into three smaller examples including developing countries in Asia, Africa, and Latin-America. Unlike previous studies, our research results confirm that economic integration has a multidimensional impact on inequality in countries. In detail, trade openness can help to reduce inequality, however, foreign direct investment increases inequality during the study period. The Kuznets' inverted-U curve among income and inequality is confirmed in the cases including the overall sample, Asia and Africa, excluding for the Latin-America. Finally, technology development and remittances are found to play a negative impact on inequality, while inflation leads to an increase in inequality level in developing countries.  Keywords: economic integration, inequality, trade openness, FDI, Kuznets, developing country

Reform, corruption, and growth: Why corruption is more devastating in Russia than in China

2006 ◽  
Vol 39 (2) ◽  
pp. 265-281 ◽  
Author(s):  
Tomas Larsson
Keyword(s):  
Economic Growth ◽  
Comparative Advantage ◽  
Economic Performance ◽  
Political Corruption ◽  
Common Assumption ◽  
Rapid Economic Growth ◽  
The Common ◽  
The Impact ◽  
Intervening Factors

This article explains why massive political corruption appears to be incompatible with economic growth in Russia but compatible with very rapid economic growth in China. The common assumption is that corruption is bad for economic performance. So how can we explain the puzzling contrast between Russia and China? Is Russia being more severely “punished” for its corruption than China? If so, why? This article demonstrates that three intervening factors—comparative advantage, the organization of corruption, and the nature of rents—determines the impact of corruption on economic performance, and that these factors can explain the divergent outcomes. The article thereby offers an alternative to statist explanations of the Russia-China paradox.

scholarly journals Deep-Down Time: Political Tradition in Central Africa

1989 ◽  
Vol 16 ◽  
pp. 341-362 ◽  
Author(s):  
Jan Vansina
Keyword(s):  
Political Ideology ◽  
Regional Scale ◽  
Central Africa ◽  
Common View ◽  
Historical Processes ◽  
The Social ◽  
The Common ◽  
Political Communities ◽  
The Mind ◽  
The Impact

Around 1850 the peoples of central Africa from Duala to the Kunene River and from the Atlantic to the Great Lakes shared a common view of the universe and a common political ideology. This included assumptions about roles, statuses, symbols, values, and indeed the very notion of legitimate authority. Among the plethora of symbols connected with these views were the leopard or the lion, the sun, the anvil, and the drum, symbolizing respectively the leader as predator, protector, forger of society, and the voice of all. Obviously, in each case the common political ideology was expressed in slightly different views, reflecting the impact of differential historical processes on different peoples. But the common core persisted. The gigantic extent of this phenomenon, encompassing an area equal to two-thirds of the continental United States, baffles the mind. How did it come about? Such a common tradition certainly did not arise independently in each of the hundreds of political communities that existed then. However absorbent and stable this mental political constellation was, it must have taken shape over a profound time depth. How and as a result of what did this happen? Is it even possible to answer such queries in a part of the world that did not generate written records until a few centuries ago or less?This paper addresses this question: how can one trace the social construction of such a common constellation over great time depths and over great regional scale? All the peoples involved are agriculturalists and the political repertory with which we are concerned could not easily exist in its known form outside sedentary societies.

scholarly journals Impact of foreign direct investment on economic growth in the world during 1975–2015

2018 ◽  
Vol 20 (91) ◽  
pp. 28-32
Author(s):  
B. B. Brychka
Keyword(s):  
Economic Growth ◽  
Literature Review ◽  
Regression Models ◽  
Trade Openness ◽  
Positive Influence ◽  
Linear Regression Models ◽  
Average Value ◽  
Gdp Growth Rate ◽  
The World ◽  
The Impact

The study is concentrated on examination the impact of FDI on economic growth in the World during 1975–2015. The study consists of four consecutive parts, including introduction, literature review, model and methodology, data, empirical results and conclusion. Each part of the study is focused on its own goals. According to the results of the literature review, there is positive influence of FDI on economic growth in various countries. Economic growth is one of the most important goals of any country. The country image on the international level is dependent on its economic power. Economic growth provides an opportunity to improve the living standards in the country. Most researchers conclude that there is a positive influence of FDI on the countries’ economic growth. However, the impact of FDI is strong in developing countries. Moreover, this relationship is stronger in countries with higher educational and technological level, trade openness and development of the countries’ stock markets. Economists often build regression models to estimate the relationship between the variables. In order to find the impact of FDI on economic growth, we are going to apply linear regression models. We take two variables as indicators of the countries’ economic growth, including current GDP expressed in U.S dollars, and annual GDP growth rate. Taking into account that the World’s GDP in current U.S dollar is a factor variable with the mentioned resulting variables, the regression equation looks as follows: The R-squared of the built model is 0.99, indicating that roughly 100% of changes in the World’s GDP is caused by the chosen factors. As it is seen from the SAS output, the residuals of dependent variable and factors variables are distributed normally among its average value. Thus, non-normality is not observed in the model. Taking into account the coefficients of the factor variables, the log GDP is most sensitive to the changes in trade as a percent of GDP. The log GDP is not quite sensitive to the changes in FDI, since the coefficient of 0.000128 means that increasing of FDI by one unit increase the logarithmic value of GDP by $ 0.000128.

scholarly journals Economic Growth of Asia Pacific Countries

2018 ◽  
Vol 2 (1) ◽  
pp. 52-60
Author(s):  
Nabaz T. Khayyat ◽  
Sherwan Kafoor
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Trade Openness ◽  
Government Expenditure ◽  
Asia Pacific ◽  
Tax Rate ◽  
Education And Health ◽  
Fixed Capital Formation ◽  
Main Driver ◽  
The Impact

This empirical study examines the determinant of economic growth among Asia Pacific countries. While many other studies focused on specific economies with particular determinants identified from previous studies, this study expands the boundaries of countries to examine different factors that are expected to affect the economic growth in Asia Pacific countries. Estimation results of this study are based on the analysis of a panel data for the period 1994–2011. The impact of total population, industry share of GNI, interest rate, gross fixed capital formation, and tax rate are statistically examined to be strongly significant for the whole sample. In the case of government expenditure and trade openness, they are examined to be significant to some degree. Finally, though human capital is expected to be the main driver of economic growth, the result from correlation analysis revealed that there is a high correlation between expenditure on education and health. To show the impact of human capital on economic growth in Asia Pacific countries, estimation with years of schooling may enhance the study instead of using expenditure on education and health.

scholarly journals The Impact of Industrialization, Trade Openness, Financial Development, and Energy Consumption on Economic Growth in Indonesia

Economies ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 174
Author(s):  
Khalid Eltayeb Elfaki ◽  
Rossanto Dwi Handoyo ◽  
Kabiru Hannafi Ibrahim
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Least Squares ◽  
Financial Development ◽  
Correction Term ◽  
Trade Openness ◽  
Ordinary Least Squares ◽  
Distributed Lag ◽  
Long Run ◽  
The Impact

This study aimed to scrutinize the impact of financial development, energy consumption, industrialization, and trade openness on economic growth in Indonesia over the period 1984–2018. To do so, the study employed the autoregressive distributed lag (ARDL) model to estimate the long-run and short-run nexus among the variables. Furthermore, fully modified ordinary least squares (FMOLS), dynamic least squares (DOLS), and canonical cointegrating regression (CCR) were used for a more robust examination of the empirical findings. The result of cointegration confirms the presence of cointegration among the variables. Findings from the ARDL indicate that industrialization, energy consumption, and financial development (measured by domestic credit) positively influence economic growth in the long run. However, financial development (measured by money supply) and trade openness demonstrate a negative effect on economic growth. The positive nexus among industrialization, financial development, energy consumption, and economic growth explains that these variables were stimulating growth in Indonesia. The error correction term indicates a 68% annual adjustment from any deviation in the previous period’s long-run equilibrium economic growth. These findings provide a strong testimony that industrialization and financial development are key to sustained long-run economic growth in Indonesia.

scholarly journals PENGARUH PEMBANGUNAN INFRASTRUKTUR TELEKOMUNIKASI TERHADAP PERTUMBUHAN EKONOMI DI ASEAN

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Galih adi Prasetyo
Keyword(s):  
Economic Growth ◽  
Trade Openness ◽  
Dynamic Panel Data ◽  
Infrastructure Development ◽  
Method Of Moment ◽  
Telecommunications Infrastructure ◽  
Telecommunication Infrastructure ◽  
Asean Countries ◽  
Urbanization Rate ◽  
The Impact

Abstract This study aims to determine the effect of the development of telecommunications infrastructure to economic growth in ASEAN. Generalized Method of Moment (GMM) is used to test how telecommunication infrastructure development to economic growth in ASEAN. This study uses a dynamic panel data from 10 ASEAN countries in the period 2000-2013. Variables used in this research is the GDP growth, the development of telecommunication infrastructure index, foreign direct investment, trade openness, and urbanization rate. Tests were performed using STATA 13.0 software shows the use sys-GMM better than diff-GMM. The results of this study indicate the development of telecommunications infrastructure significantly affect economic growth but had negative relationships. Based on the theory of demand following hypothesis (DFH) economic growth leads to the development of telecommunications infrastructure. The impact of telecommunications infrastructure development is only emerge through the product or outcome of economic growth. Telecommunications infrastructure development is considered as the impact of economic growth continues to increase.

scholarly journals Political Stability and its Impact on Economic Growth of Pakistan (1988-2018): A Time Series Analysis

2020 ◽  
Vol 6 (1) ◽  
pp. 273-282
Author(s):  
Majid Hussain Phul ◽  
Muhammad Saleem Rahpoto ◽  
Ghulam Muhammad Mangnejo
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Data ◽  
Political Stability ◽  
Series Data ◽  
Explanatory Variables ◽  
Long Run ◽  
Short Run ◽  
The Impact ◽  
Positive Effect

This research paper empirically investigates the outcome of Political stability on economic growth (EG) of Pakistan for the period of 1988 to 2018. Political stability (PS), gross fixed capital formation (GFCF), total labor force (TLF) and Inflation (INF) are important explanatory variables. Whereas for model selection GDPr is used as the dependent variable. To check the stationary of time series data Augmented Dickey Fuller (ADF) unit root (UR) test has been used,  and whereas to find out the long run relationship among variables, OLS method has been used. The analysis the impact of PS on EG (EG) in the short run, VAR model has been used. The outcomes show that all the variables (PS, GFCF, TLF and INF) have a significantly positive effect on the EG of Pakistan in the long run period. But the effect of PS on GDP is smaller. Further, in this research we are trying to see the short run relationship between GDP and other explanatory variables. The outcomes show that PS does not have such effect on GDP in the short run analysis. While GFCF, TLF and INF have significantly positive effect on GDP of Pakistan in the short run period.

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