scholarly journals Determinants of Temporary Trade Barriers in Global Forest Products Industry

2020 ◽  
Vol 12 (9) ◽  
pp. 3839
Author(s):  
Xufang Zhang ◽  
Changyou Sun ◽  
Jason Gordon ◽  
Ian A. Munn
Keyword(s):  
Developing Countries ◽  
Sample Selection ◽  
Forest Products ◽  
Gdp Per Capita ◽  
Trade Barriers ◽  
Forest Products Industry ◽  
Probit Regression ◽  
Per Capita ◽  
Education And Employment ◽  
Temporary Trade Barriers

Imposing temporary trade barriers (TTBs) as remedy actions against imports has become popular among global countries in recent decades. Many countries have employed these trade barriers to protect domestic firms from possible injury by unfair international trade. This study evaluated the main factors that influenced the implementation of TTBs in the forest products industry from 1995 to 2015 for two scenarios: a global and developing countries scenario; and a paper and non-paper products scenario. A two-step sample selection model was employed to assess the determinants of the decision to impose TTBs and the frequency to implement TTBs for the scenario of global and developing countries. From the perspective of forest products, determinants of applying TTBs on paper and non-paper products were examined with the probit regression. For the scenario of global and developing countries, the import, employment in agriculture, forest coverage rate, inflation, and GDP per capita were significant determinants. For the scenario of paper and non-paper products, variables of the forest area, imports, exports, GDP per capita, tariff rate, expenditure on education, and employment in agriculture were significant. The results show that a country with a large per capita GDP is more likely to file more TTBs against others. One implication is that countries should be cautious to impose TTBs, as it may cause the attention to shift from the inefficiencies of domestic forest firms to the unfair trade actions of exporters.

Searching for new Sources of growth. Are the Developing Countries Catching up with the Developed ones?

2015 ◽  
pp. 30-53
Author(s):  
V. Popov
Keyword(s):  
Developing Countries ◽  
Western Europe ◽  
Gdp Per Capita ◽  
The West ◽  
Catching Up ◽  
The Us ◽  
The World ◽  
Economic Divergence ◽  
Per Capita ◽  
Relative Standing

This paper examines the trajectory of growth in the Global South. Before the 1500s all countries were roughly at the same level of development, but from the 1500s Western countries started to grow faster than the rest of the world and PPP GDP per capita by 1950 in the US, the richest Western nation, was nearly 5 times higher than the world average and 2 times higher than in Western Europe. Since 1950 this ratio stabilized - not only Western Europe and Japan improved their relative standing in per capita income versus the US, but also East Asia, South Asia and some developing countries in other regions started to bridge the gap with the West. After nearly half of the millennium of growing economic divergence, the world seems to have entered the era of convergence. The factors behind these trends are analyzed; implications for the future and possible scenarios are considered.

scholarly journals Globalization and educational inequality during the 18th to 20th centuries: Latin America in global comparison

2010 ◽  
Vol 28 (2) ◽  
pp. 279-305 ◽  
Author(s):  
Joerg Baten ◽  
Christina Mumme
Keyword(s):  
Developing Countries ◽  
Latin America ◽  
Strong Evidence ◽  
Educational Inequality ◽  
Gdp Per Capita ◽  
Positive Effects ◽  
Global Comparison ◽  
Per Capita ◽  
The Rich

AbstractThis paper explores the inequality of numeracy and education by studying school years and numeracy of the rich and poor, as well as of tall and short individuals. To estimate numeracy, the age-heaping method is used for the 18th to early 20th centuries. Testing the hypothesis that globalization might have increased the inequality of education, we find evidence that 19th century globalization actually increased inequality in Latin America, but 20th century globalization had positive effects by reducing educational inequality in a broader sample of developing countries. Moreover, we find strong evidence for Kuznets’s inverted U hypothesis, that is, rising educational inequality with GDP per capita in the period until 1913 and the opposite after 1945.

scholarly journals How Much Does Economic Growth Contribute to Child Stunting Reductions?

Economies ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 55 ◽  
Author(s):  
Sébastien Mary
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Causal Effect ◽  
Gdp Per Capita ◽  
Reverse Causality ◽  
Child Stunting ◽  
Percentage Point Increase ◽  
Child Undernutrition ◽  
Novel Approach ◽  
Per Capita

The role of economic growth in reducing child undernutrition remains an open and highly debated question that holds important implications for food security strategies. The empirical evidence has been quite contrasted, primarily in regard to the magnitude of the impacts. Yet, most studies have not (appropriately) accounted for the reverse causality between economic growth and child stunting. Using a dataset of 74 developing countries observed between 1984 and 2014, this paper develops a novel approach accounting for the reverse causal effect of stunting on GDP per capita and finds that the impacts of economic growth are much lower than estimated in most previous studies. A 10% increase in GDP per capita reduces child stunting prevalence by 2.7%. In other words, economic growth is modestly pro-poor. We also estimate that a percentage point increase in child stunting prevalence results in a 0.4% decrease in GDP per capita. A back-of-the-envelope calculation suggests that stunting costs on average about 13.5% of GDP per capita in developing countries.

Economic Impacts of the Pandemic on the Tourism of the Developing World

2021 ◽  
pp. 135-154
Author(s):  
Ayca Sarialioglu Hayali ◽  
Cabir Celik
Keyword(s):  
Developing Countries ◽  
Developing World ◽  
Economic Impacts ◽  
Panel Data Analysis ◽  
Tourism Industry ◽  
Gdp Per Capita ◽  
Main Hypothesis ◽  
Tourism Sector ◽  
Policy Measures ◽  
Per Capita

The COVID-19 pandemic crisis of 2020 with its policy measures and economic impacts has negatively affected the tourism industry, which is regarded as the most negatively affected one due to the nature of the sector, both directly and indirectly. In other words, through its policy measures such as restrictions on travel, it has affected the tourism sector directly, and through its economic impacts such as decreasing GDP per capita and hence total demand, it has influenced the tourism sector indirectly. In this regard, the aim of this study is to empirically investigate the economic impacts of the pandemic on tourism of the developing world for the case of the COVID-19 pandemic crisis of 2020. This is done by a panel data analysis including 38 developing countries for the nine months of 2020, January-September, the ongoing era of pandemic crisis of 2020 considering the available data. The findings support the main hypothesis of the study.

scholarly journals Impacts from Economic Development and Environmental Factors on Life Expectancy: A Comparative Study Based on Data from Both Developed and Developing Countries from 2004 to 2016

2021 ◽  
Vol 18 (16) ◽  
pp. 8559
Author(s):  
Zhiheng Chen ◽  
Yuting Ma ◽  
Junyi Hua ◽  
Yuanhong Wang ◽  
Hongpeng Guo
Keyword(s):  
Developing Countries ◽  
Economic Development ◽  
Gini Coefficient ◽  
Negative Impact ◽  
Positive Impact ◽  
Developed Countries ◽  
Environmental Indicators ◽  
Gdp Per Capita ◽  
Per Capita ◽  
Urbanization Rate

Both economic development level and environmental factors have significant impacts on life expectancy at birth (LE). This paper takes LE as the research object and selects nine economic and environmental indicators with various impacts on LE. Based on a dataset of economic and environmental indicators of 20 countries from 2004 to 2016, our research uses the Pearson Correlation Coefficient to evaluate the correlation coefficients between the indicators, and we use multiple regression models to measure the impact of each indicator on LE. Based on the results from models and calculations, this study conducts a comparative analysis of the influencing mechanisms of different indicators on LE in both developed and developing countries, with conclusions as follow: (1) GDP per capita and the percentage of forest area to land area have a positive impact on LE in developed countries; however, they have a negative impact on LE in developing countries. Total public expenditure on education as a percentage of GDP and fertilizer consumption have a negative impact on LE in developed countries; however, they have a positive impact on LE in developing countries. Gini coefficient and average annual exposure to PM2.5 have no significant effect on LE in developed countries; however, they have a negative impact on LE in developing countries. Current healthcare expenditures per capita have a negative impact on LE in developed countries, and there is no significant impact on LE in developing countries. (2) The urbanization rate has a significant positive impact on LE in both developed countries and developing countries. Carbon dioxide emissions have a negative impact on LE in both developed and developing countries. (3) In developed countries, GDP per capita has the greatest positive impact on LE, while fertilizer consumption has the greatest negative impact on LE. In developing countries, the urbanization rate has the greatest positive impact on LE, while the Gini coefficient has the greatest negative impact on LE. To improve and prolong LE, it is suggested that countries should prioritize increasing GDP per capita and urbanization level. At the same time, countries should also work on reducing the Gini coefficient and formulating appropriate healthcare and education policies. On the other hand, countries should balance between economic development and environmental protection, putting the emphasis more on environmental protection, reducing environmental pollution, and improving the environment’s ability of self-purification.

scholarly journals Internal Trade in Canada

2019 ◽  
Vol 2019 (158) ◽  
Author(s):  
Jorge Alvarez ◽  
Ivo Krznar ◽  
Trevor Tombe
Keyword(s):  
Free Trade Agreement ◽  
Positive Impact ◽  
Trade Agreement ◽  
Gdp Per Capita ◽  
Trade Barriers ◽  
Trade Restrictions ◽  
Per Capita ◽  
Cooperative Solutions ◽  
Productivity Gains ◽  
Internal Trade

This paper assesses the costs of internal trade barriers and proposes policies to improve internal trade. Estimates suggest that complete liberalization of internal trade in goods can increase GDP per capita by about 4 percent and reallocate employment towards provinces that experience large productivity gains from trade. The positive impact highlights the need for federal, provincial and territorial governments to work together to reduce internal trade barriers. There is significant scope to build on the new Canadian Free Trade Agreement to more explicitly identify key trade restrictions, resolve differences, and agree on cooperative solutions.

scholarly journals Determinants of FDI in BRICS Countries: Panel Data Approach

2018 ◽  
Vol 63 (2) ◽  
pp. 35-48
Author(s):  
Mduduzi Biyase ◽  
September Rooderick
Keyword(s):  
Selection Bias ◽  
Unobserved Heterogeneity ◽  
Statistical Significance ◽  
Sample Selection ◽  
Gdp Per Capita ◽  
Heckman Selection Model ◽  
Two Stage ◽  
Brics Countries ◽  
Per Capita ◽  
Heckman Selection

Abstract We empirically investigates the factors that affect Foreign Direct Investment (FDI) inflows in five BRICS countries for the period 1990–2015. We address the selection bias and unobserved heterogeneity by estimating a panel Heckman selection method and attempts to account for both selection and endogeneity within the new two-stage method. After addressing the above mentioned econometric issues, the infrastructure and GDP per capita variables under the new two-stage method remain positive and significantly similar to the coefficient of infrastructure and GDP per capita under the panel Heckman selection model. In addition, the inverse Mills ratio maintain its level of statistical significance, confirming the presence of both sample selection bias and endogeneity.

scholarly journals Effects of economic clusters, FDI and R&D on Innovation: Developing Countries in European Monetary Union Example

2019 ◽  
Vol 7 (2) ◽  
pp. 236-251 ◽  
Author(s):  
Durmuş Çağrı Yıldırım ◽  
KORHAN ARUN
Keyword(s):  
Developing Countries ◽  
Developing Country ◽  
Monetary Union ◽  
European Monetary Union ◽  
Gdp Per Capita ◽  
European Monetary ◽  
Moderation Effect ◽  
Empirical Results ◽  
Per Capita ◽  
The Impact

This study investigates the impact of clusters, FDI, RD, and GDP per capita on innovation. Using a unique panel dataset obtained from eight developing countries with similar innovation levels that are in and out of economic clusters from 2001-2014. The empirical results show that dynamic (uncountable) effects of clusters are not statistically significant on innovation, but static effects (countable) are. Therefore, clusters are effective for developing countries on trade but not innovation directly that developing country should increase trade for innovation spillover by moderation effect of being in economic unions.

scholarly journals An Impact Assessment of Expected Future Turmoil Risk on FDI: A Panel Data Analysis of Developing Countries

2014 ◽  
Vol 19 (2) ◽  
pp. 101-128 ◽  
Author(s):  
Mahvish Faran
Keyword(s):  
Developing Countries ◽  
Foreign Direct Investment ◽  
Data Analysis ◽  
Direct Investment ◽  
Panel Data Analysis ◽  
Gdp Per Capita ◽  
Democratic Accountability ◽  
Fdi Inflows ◽  
Per Capita ◽  
Very High

This paper uses foreign direct investment (FDI) data from 39 developing countries for the period 2002–11 to explore whether the expected future turmoil risk of a country plays a significant role in determining FDI. It concludes that countries for which the expected future turmoil risk is very high are likely to have lower FDI inflows than countries for which the expected future turmoil risk is low, keeping all other factors constant. The results also illustrate that GDP per capita, democratic accountability, religious tension, and FDI inflows in the previous period are important determinants of FDI in developing countries.

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