scholarly journals The Winner Takes It All: International Inequality in Communication and Media Studies Today

2018 ◽  
Vol 96 (1) ◽  
pp. 37-59 ◽  
Author(s):  
Marton Demeter
Keyword(s):  
Developing Countries ◽  
Media Studies ◽  
English Language ◽  
Web Of Science ◽  
Developed Countries ◽  
Natural Sciences ◽  
Per Capita Gdp ◽  
International Inequality ◽  
Publication Patterns ◽  
Per Capita

In this research, we analyzed all 79 Web of Science (WoS) indexed journals in communication and media studies to disclose main publication patterns. We found that English-language countries dominate the field in a greater extent than in other disciplines, and developing countries are in a weaker position than English-language developed countries not just in natural sciences but also in soft sciences. We found significant correlations between the nominal GDP, the per capita publication, and per capita GDP of a given country and its publication scores.

Does Domestic Energy Consumption Affect GDP of a Country? A Panel Data Study

2016 ◽  
Vol 16 (2) ◽  
pp. 229-273 ◽  
Author(s):  
Somesh K. Mathur ◽  
Sohini Sahu ◽  
Ishita Ghoshal ◽  
Kanak Aggarwal
Keyword(s):  
Energy Efficiency ◽  
Developing Countries ◽  
Energy Consumption ◽  
Panel Data ◽  
Energy Conservation ◽  
Regression Model ◽  
Developed Countries ◽  
Gdp Growth ◽  
Per Capita Gdp ◽  
Per Capita

The present study is an attempt to test the relationship between energy consumption, energy efficiency, CO2 Emissions and economic growth for a set of some developed, transition and developing counties. For this purpose, panel data on various factors of GDP growth has been taken for 18 developing, 16 transition and 18 developed countries from 1980–2013. The paper uses the variant of Solow model to provide the economic justification behind the econometric estimation of regression model which includes energy consumption per capita, CO2 emissions and energy efficiency as one of the independent variables affecting GDP growth of a country, among others. To estimate the regression model, the study uses various panel data estimation methodologies such as: panel data cointegration, panel causality (assuming homogeneous and heterogeneous panels), panel VECM, panel VAR and panel data ARDL and SURE. The results help us to find out he short run and long-run relationship between the policy variables. The paper also tests the direction of causality between energy consumption and GDP and per capita GDP growth by working on the following hypotheses:(a) Neutrality Hypothesis, which holds that there is no causality (neither direction) between these two variables; (b) Energy conservation hypothesis, which holds that there is evidence of unidirectional causality from GDP growth to energy consumption; (c)Growth hypothesis, energy consumption drives GDP growth; and (d) Feedback hypothesis, which suggests a bidirectional causal relationship between energy consumption and GDP growth. S-shaped relationship between energy consumption and per capita GDP is also tested by hypothesizing that with high GDP, first energy consumption increases at an increasing rate and then increases at a decreasing rate. The overall conclusion emerges from the analysis is that per capita energy consumption has a negative impact on growth of per capita GDP in developing countries and transition economies but positive impact in case of developed countries. This may be due to the fact that in developed nations, the energy consumption expenditures may be more devoted to technological progress in alternative source of oil like shell gas or in expenditures related to renewable energy intensive technological products. The developing and transition countries although trying to put efforts in increasing expenditures in alternative energy sources like non-renewable, oil consumption still seem to not have many alternatives sources of energy. Therefore, reducing oil expenditures tend to promote growth among developing countries. Growth, Energy Conservation and Feedback hypotheses tend to work for developed, transition and developing countries. Also, the direction of causality may run from growth per capita to energy consumption depicting a S-shaped relation signifying that as society matures energy consumption increases but at a decreasing rate.

International differences in labor productivity: Role of capital, technological level and resource rent

2016 ◽  
pp. 67-93 ◽  
Author(s):  
A. Zaytsev
Keyword(s):  
Labor Productivity ◽  
Developed Countries ◽  
Resource Rent ◽  
Per Capita Gdp ◽  
Technological Level ◽  
Per Capita ◽  
Oil Sector ◽  
Population Ratio ◽  
Gdp Gap ◽  
Productivity Gap

Using level accounting methodology this article examines sources of per capita GDP and labor productivity differences between Russia and developed and developing countries. It considers the role played by the following determinants in per capita GDP gap: per hour labor productivity, number of hours worked per worker and labor-population ratio. It is shown that labor productivity difference is the main reason of Russia’s lagging behind. Factors of Russia’s low labor productivity are then estimated. It is found that 33-39% of 2.5-5-times labor productivity gap (estimated for non-oil sector) between Russia and developed countries (US, Canada, Germany, Norway) is explained by lower capital-to-labor ratio and the latter 58-65% of the gap is due to lower technological level (multifactor productivity). Human capital level in Russia is almost the same as in developed countries, so it explains only 2-4% of labor productivity gap.

ICTs and Coordination for Poverty Alleviation

2013 ◽  
pp. 165-189
Keyword(s):  
Developing Countries ◽  
Poverty Alleviation ◽  
Poverty Reduction ◽  
Statistical Tests ◽  
Developed Countries ◽  
Literacy Rate ◽  
The Third ◽  
Internet Users ◽  
Per Capita ◽  
Use Of Internet

In recent decades, calls for poverty alleviation have increased significantly in both developed and developing countries. Relatively, ICTs have been viewed as offering helpful tools for poverty reduction. This chapter investigates access to ICTs in the context of poverty, in both developed and developing countries. Based on a sample of 40 countries (20 developing and 20 developed countries), several statistical tests have been performed with promising results obtained. It is first shown that people in developing countries have less access to ICTs relative to those in developed countries. Second, it is also proven that the use of Internet is positively affected by the literacy rate within a country. The higher the literacy rate, the higher the number of Internet users in a country. The third result conveys that countries with higher GDP per capita ensure higher access to ICTs for their populations. Finally, this chapter proposes that populations of countries with higher poverty rates have less access to ICTs.

The Impact of Infrastructure on Growth in Developing Countries

2017 ◽  
pp. 40-68 ◽  
Author(s):  
Derya Yılmaz ◽  
Işın Çetin
Keyword(s):  
Developing Countries ◽  
Instrumental Variables ◽  
Dynamic Panel Data ◽  
Gdp Growth ◽  
Per Capita Gdp ◽  
Gdp Growth Rate ◽  
Generating Capacity ◽  
Catch Up ◽  
Per Capita ◽  
The Impact

Infrastructure and growth nexus has been debated in the literature since 1980s. This debate has a vital importance for the sake of developing countries. These countries need to grow faster in order to catch-up their advanced counterparts. Thus, it is important to detect the effect of infrastructure on growth. Bearing in mind this fact, we develop a standard growth regression in this present chapter using per capita GDP growth rate as a dependent variable. Infrastructure is added to the model as an index constructed from the indicators of infrastructure: total electric generating capacity, total telephone lines and the length of road network. We also employ set of instrumental variables comprising 29 developing countries between 1990 and 2014. In order to estimate our dynamic panel data we prefer GMM estimators. According to our empirical analysis, we can claim that infrastructure has a positive and significant impact on growth. But this impact is smaller than the earlier studies predict.

The relationship among tourism, poverty, and economic development in developing countries

2016 ◽  
Vol 22 (6) ◽  
pp. 1174-1190 ◽  
Author(s):  
Namhyun Kim ◽  
HakJun Song ◽  
Ju Hyun Pyun
Keyword(s):  
Developing Countries ◽  
Economic Development ◽  
Developed Countries ◽  
Tourism Industry ◽  
Least Developed Countries ◽  
Income Per Capita ◽  
International Dollar ◽  
Heterogeneous Effects ◽  
Per Capita ◽  
The Relationship

This study investigates the relationship among tourism, poverty, and economic development in developing countries. The empirical model is set up using unbalanced panel observations for 69 developing countries for the period 1995–2012. The findings show that tourism has heterogeneous effects on the poverty ratio in terms of a country’s income per capita: the positive effect of tourism on poverty alleviation switches to being negative after a certain threshold of a country’s income level. The results of this study indicate that only the least developed countries (those with an income per capita below international dollar 3400) have benefited from the tourism industry in terms of reducing their poverty ratios.

Prospects and Opportunities for New Techno-Economic Paradigms — New Technological Modes

2018 ◽  
Vol 6 (1) ◽  
pp. 4-11
Author(s):  
Леонид Басовский ◽  
Leonid Basovskiy ◽  
Елена Басовская ◽  
Elena Basovskaya
Keyword(s):  
Economic Development ◽  
Harmonic Component ◽  
Developed Countries ◽  
Econometric Models ◽  
Per Capita Gdp ◽  
The Real ◽  
Economic Paradigm ◽  
Fixed Assets ◽  
Per Capita ◽  
Regions Of Russia

The model of long-term technical and economic development of industrial and post-industrial economic systems is constructed. The system consists of several subsystems existing simultaneously. Each new subsystem, embodying a new technical and economic mode, provides a higher level of per capita income. The transition to each new stage of technical and economic development — the transition to the predominance, the dominance of the technical and economic paradigm, and the beginning of the spread of a new technical and economic paradigm occurs at the moment when the upward half-wave of the Kondratiev cycle begins to form. To establish the moments of the onset of the upward halfwaves of Kondratiev cycles and the timing of the start of the spread of new techno-economic modes, econometric models of real per capita GDP in developed countries, including a smooth and cyclic (harmonic) component, were constructed. The average duration of the third cycle in these countries was 51.9 years, the fourth cycle — 49.8 years. Because of the construction of econometric models, it was possible to evaluate the productivity of relic, fourth, fifth and sixth technical and economic paradigms in developed countries. The average value of the maximum productivity of the fourth techno-economic mode was 2594 Geri-Hemis $ 1990, the fifth — 12,245 Geri-Hemis $ 1990, the sixth — 25 374 Geri-Hemis $ 1990. The average contribution to the real per capita GDP of relict modes and the fourth mode in the period of its domination was 5004 Geri-Hemis $ 1990, which corresponds to the value of 161,379 rubles. 2008. The excess of this value in Russia provided isdue to the spread of the fifth technical and economic mode. Its significant contribution to the real per capita GDP of the country began to observe since 2001 and by 2015 reached 47%. Modeling the period of the contribution of the fifth paradigm to Russia’s per capita GDP made it possible to predict the transition to its dominance in 2040. The forecast of the transition to the domination of the fifth mode in the regions of Russia is to include this time from 2010 to 2200. Construction of production functions based on data on per capita GRP over the years made it possible to establish that investment in fixed assets and an increase in the share of employed persons with a higher education can accelerate the spread of the fifth techno-economic mode and have received estimates of their effectiveness in the regions of Russia. A feature of the regions in which new modes did not receive proliferation was the low capitalization of new fixed assets and the increased number of employees of territorial bodies of federal executive bodies.

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 Challenges of childhood obesity in a developing economy: A review

1970 ◽  
Vol 42 (3) ◽  
pp. 169-179
Author(s):  
CB Eke ◽  
AC Ubesie ◽  
BC Ibe
Keyword(s):  
Risk Factors ◽  
Developing Countries ◽  
Childhood Obesity ◽  
English Language ◽  
Developing Economies ◽  
Relevant Literature ◽  
Developed Countries ◽  
Economic Costs ◽  
Double Burden ◽  
Double Burden Of Malnutrition

Background: Obesity once considered a high income country’s malady is now on the rise in most developing countries particularly in urban settings. Most of these emerging economies have been reported to have different shades of under – nutrition coexisting side by side with over-nutrition. It is pertinent therefore that we determine the factors driving the increase in obesity rates in developing countries as they generally lack the infrastructure to adequately handle the associated complications.Objectives: This communication is aimed at reviewing the burden and risk factors for obesity in children in developing countries, double burden of malnutrition, challenges including medical as well as economic costs and sustainable preventive programmes of obesity in our environment with the hope of sensitizing both the health community and policy makers of this emerging epidemic.Methods: We searched relevant literature on the subject published only in English language or translated into English language manually and electronically. The Index Medicus, AJOL, Medline, PUBMED, and HINARI were specifically searched for the period between 1980 and 2014 and reviewed. The following key words were applied in the search: Obesity in childhood, its burden and associated risk factors, complications of obesity in childhood, double burden of malnutrition in developing countries, assessment of obesity, childhood challenges of obesity including its direct and indirect costs in developing countries as well as practical preventive models in developing economies.Results: Several relevant studies were identified. The health as well as economic costs of obesity is diverse. Obesity is the major risk factor for a variety of non – communicable diseases including cardiovascular diseases, type 2 diabetes and malignancies in later life. Also obese children have higher risk of orthopaedic problems and psychological disturbances like low -self esteem and bullying. This can also lead to poor social adjustments among our teeming youths who are the bedrock of our future economy. Most of these diseases cause premature deaths in addition to long term morbidities. Many of these obesity associated complications impose substantial burden on the health care system in developing countries with weak health systems, and if allowed unmitigated the implications are that the cost of its care may overwhelm not only the health budget but also affect the provisions of basic social amenities.Conclusions: Preventive programmes have been shown to reduce the burden of obesity in developed countries. Dearth of data on burden of obesity and its associated complications in children and adolescents still a challenge in most developing economies. Efforts should be made to prevent childhood obesity using multi- pronged approach at population level through targeted education, sustainable interventions related to healthy nutritional practices as well as physical activity promotion.Key words: Challenges; Obesity; Children; Developing Economies

scholarly journals Gender Gaps in Human Capital in Developing Countries: An Empirical Assessment

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Minh Quang Dao
Keyword(s):  
Developing Countries ◽  
Human Capital ◽  
Maternal Mortality ◽  
Female Employment ◽  
Gdp Growth ◽  
Water Services ◽  
Gender Gaps ◽  
Per Capita Gdp ◽  
Ethnic Fractionalization ◽  
Per Capita

This paper examines the impact of various determinants on gender gaps in human capital in developing countries. We find that female primary completion is dependent on per capita GDP growth, female employment in agriculture, in industry, and in services, and the interactions between per capita GDP growth and female employment in industry and in services. We are also able to show that the ratio of girls to boys’ enrollments in primary and secondary schools is a function of the poverty rate, the fraction of the population with access to an improved water source, and maternal mortality. In addition, we observe that girls’ mortality is dependent upon the fraction of the population having access to improved sanitation and water services, and ethnic fractionalization. Finally, we find that maternal mortality is a function of the fraction of the population with access to improved water services, the fraction of births attended by skilled staff, the fraction of women receiving prenatal care, and ethnic fractionalization. These statistical results can assist developing countries identify areas that need to be improved upon in order to reduce gender gaps in human capital—specifically those concerning female mortality and education.

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