scholarly journals The Asymmetrical Effects of Economic Development on Consumption-based and Production-based Carbon Dioxide Emissions, 1990 to 2014

2018 ◽  
Vol 4 ◽  
pp. 237802311877362 ◽  
Author(s):  
Xiaorui Huang ◽  
Andrew K. Jorgenson
Keyword(s):  
Carbon Dioxide ◽  
Economic Development ◽  
Gross Domestic Product ◽  
Carbon Dioxide Emissions ◽  
Domestic Product ◽  
Anthropogenic Emissions ◽  
National Data ◽  
Per Capita ◽  
The Relationship ◽  
Cross National

The authors examine the potentially asymmetrical relationship between economic development and consumption-based and production-based CO2 emissions. They decompose economic development into economic expansions and contractions, measured separately as increases and decreases in gross domestic product per capita, and examine their unique effects on emissions. Analyzing cross-national data from 1990 to 2014, the authors find no statistical evidence of asymmetry for the overall sample. However, for a sample restricted to nations with populations larger than 10 million, the authors observe a contraction-leaning asymmetry whereby the effects of economic contraction on both emissions outcomes are larger in magnitude than the effects of economic expansion. This difference in magnitude is more pronounced for consumption-based emissions than for production-based emissions. The authors provide tentative explanations for the variations in results across the different samples and emissions measures and underscore the need for more nuanced research and deeper theorization on potential asymmetry in the relationship between economic development and anthropogenic emissions.

scholarly journals The Long Run Relationship between Economic Growth and Environmental Quality

2019 ◽  
pp. 1-10 ◽  
Author(s):  
Redwan Ahmed ◽  
Gabriela Sabau ◽  
Morteza Haghiri
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Gross Domestic Product ◽  
Environmental Economics ◽  
Carbon Dioxide Emissions ◽  
Graphical Analysis ◽  
Domestic Product ◽  
Long Run ◽  
Per Capita ◽  
The Relationship

One of the controversial debates in environmental economics, which began in the 1980s, is the relationship between environmental pollution and economic growth. The study investigated the relationship between per capita carbon dioxide emissions and gross domestic product per capita in 63 countries over 51 years during 1960 to 2010. Using a graphical analysis approach, the results of this study showed that the relationship between per capita carbon dioxide emissions and gross domestic product per capita amongst the sample data followed a sigmoid curve indicating that the per capita carbon dioxide emissions of a country increased when its economy transitioned from a labor-intensive technology to a capital-intensive one caused by an increase in the rate of economic growth. The results also showed that the amount of relative emissions varied amongst the countries. The variability could be imputed to the following reasons: (i) the heterogeneity in the structure of the economies, and (ii) the disparity in the mode of production used in the countries’ manufacturing processes.     

scholarly journals AN ECONOMIC ANALYSIS OF THE RELATIONSHIP BETWEEN ECONOMIC GROWTH AND THE ENVIRONMENT: IN IRAQ FOR THE PERIOD 2000-2017

2021 ◽  
Vol 52 (3) ◽  
pp. 640-646
Author(s):  
Ali S. Shukr ◽  
Basim H. Hameed
Keyword(s):  
Energy Consumption ◽  
Gross Domestic Product ◽  
Carbon Dioxide Emissions ◽  
Domestic Product ◽  
Transport Sector ◽  
Capita Gross Domestic Product ◽  
Factors Affecting ◽  
Explanatory Variables ◽  
Per Capita ◽  
The Relationship

The research aims to study the most important factors affecting carbon dioxide emissions Co2, through a model. Explanatory variables were used in the model, which are the average per capita gross domestic product (GDP), the square per capita gross domestic product (GDPSQ), per capita energy consumption (CONS), and the POP population for the period 2000-2017 via using  double logarithmic formula  which is more suitable for economic, statistical and econometric  logic in this type of studies, the results of the research showed that all the explanatory variables were statistically significant at the level of 1% and that the model was significant as a whole according to the statistic F and the value of R2=0.99. Economically, we find that the parameter of the average per capita GDP was 0.46 and it came with a positive signal consistent with the methodology of the Environmental Curve Kuznets ECK, the parameter of per capita energy consumption was 0.04, and it came with a negative sign that contradicts the Kuznets methodology,  the reason may belong to the conditions that   affected the country after 2003. The research recommended to go to investing in renewable energy, because it is environmentally friendly, such as sun energy, and to reduce the size of the gas in the sectors emitting to it, such as the transport sector, factories, the extraction sector, and manufacturing industries, in order to preserve the integrity of the environment and the plant and animal wealth it contains ,to a better environment in Iraq.

Abstract P360: Hypertension Treatment Rates And Health Worker Density: An Analysis Of Worldwide Data

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Rajesh Vedanthan ◽  
Mondira Ray ◽  
Valentin Fuster ◽  
Ellen Magenheim
Keyword(s):  
Gross Domestic Product ◽  
Health Worker ◽  
World Bank ◽  
Domestic Product ◽  
Hypertension Treatment ◽  
Treatment Rate ◽  
Capita Gross Domestic Product ◽  
The World ◽  
Per Capita ◽  
The Relationship

Introduction: Hypertension is the leading global risk for mortality and its prevalence is increasing in many low- and middle-income countries. Hypertension treatment rates are low worldwide, potentially in part due to insufficient human resources. However, the relationship between health worker density and hypertension treatment rates is unknown. Objective: To conduct an econometric analysis of the relationship between health worker density and hypertension treatment rates worldwide. Methods: Hypertension treatment rates were collected from published reports between 1980 and 2010. Data on health worker (physician and nurse) density were obtained from the World Health Organization (WHO). Data for potential confounding variables--per capita gross domestic product, hospital bed density, burden of infectious diseases, land area and urban population--were obtained from WHO and World Bank databases. Potential interaction by per capita gross domestic product was evaluated. Multivariable logistic-logarithmic regression analysis was performed using Stata. Results: Full data were available from 146 countries spanning all World Bank income classification categories. Health worker density was significantly associated with hypertension treatment rate in the unadjusted model (beta = 0.23; p < 0.005). In the fully adjusted model, the association remained positive but was not statistically significant (beta = 0.30; p = 0.078) (Figure). Hypertension treatment rates were more strongly related to physician than nurse density (beta = 0.21 vs 0.08; p = 0.10 vs 0.49). Conclusion: Hypertension treatment rates across the world appear to be related to health worker density, although the relationship does not achieve strict statistical significance. Our results suggest that a 10% increase in health worker density is associated with a 2-3% increase in hypertension treatment rate. Given the global burden of hypertension and other chronic diseases, WHO guidelines for health workforce staffing may need to be reconsidered.

scholarly journals Impact of self-perceptions, social norms, and social capital on nascent entrepreneurs: a comparative analysis by level of economic development in Latin American countries

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Gustavo Barrera-Verdugo
Keyword(s):  
Economic Development ◽  
Latin America ◽  
Gross Domestic Product ◽  
Latin American ◽  
Domestic Product ◽  
Nascent Entrepreneurs ◽  
Social Variables ◽  
Self Perceptions ◽  
Per Capita ◽  
Different Levels

AbstractThe impact of individual psychological and social conditions on participation in entrepreneurship has been widely studied. However, little is known about these variables’ comparative influence on the development of nascent ventures in countries with different levels of gross domestic product per capita. This research compares the effects of self-perceptions, perceived subjective norms, and first-hand connections with entrepreneurs on participation in nascent entrepreneurs in Latin America. Logistic regressions are performed and the resulting coefficient magnitudes and pseudo-R2 values compared for the populations of 11 countries in this region. The evidence reveals heterogeneity in the effect of these psychological and social attributes on nascent ventures’ creation process, conditional on different levels of gross domestic product per capita. Notably, higher economic development is positively related to a greater influence of these perceptual and social variables. The findings enhance understanding of the effects of key variables from theories of entrepreneurial behaviour, incorporating economic development level as a new determinant. In addition, the results could guide programmes aimed at strengthening entrepreneurship in Latin America by supporting the adaptation of efforts to support nascent entrepreneurship according to the influence of perceptual and social variables in different countries.

Индустријализација и раст бруто друштвеног производа // The Industrialization and Growth of Gross Domestic Product

2018 ◽  
Vol 13 (22) ◽  
pp. 151
Author(s):  
Брано Маркић ◽  
Сања Бијакшић ◽  
Арнела Беванда
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Gross Domestic Product ◽  
Industrial Production ◽  
Growth And Development ◽  
Manufacturing Sector ◽  
Domestic Product ◽  
Data Set ◽  
The Impact ◽  
The Relationship

Резиме: Рад је истраживање и емпиријска верификација закона Ницхолас Калдора о утицају индустријске производње на раст бруто друштвеног производа. Калдор је формулисао принципе економског раста у облику три закона који настоје утврдити кључне узроке економског раста. Први његов закон тврди да је стопа раста привреде позитивно корелирана са стопом раста њезина производног сектора. Индустрија као најважнија снага развоја привреде се поодавно анализира у литератури о привредном развоју: Hirschman (1961), Rosenstein-Rodan (1943), Th irnjall (2013), Cornnjall (1977). Циљ рада је емпиријски провјерити Калдоров приступ расту и развоју у Федерацији Босне и Херцеговине. Стога је обликован посебан скуп података кога чине дводимензионалне табеле и временске серије. Регресијском анализом је квантификована повезаност између стопа раста бруто друштвеног производа и стопе раста индустријске производње.Summary: The paper the industrialization and the growth of gross domestic product is a research and empirical verification of Nicholas Kaldor laws on the impact of industrial production to GDP growth. Kaldor has formulated the principles of economic growth in the form of three laws that tend to identify key causes of economic growth. His first law asserts that the rate of economic growth is positively correlated with the rate of growth of its manufacturing sector. Industry as the most important force of economic development is widely analyzed in the literature on economic development (Hirschman (1961), Rosenstein-Rodan (1943), Thirwall (2013), Cornwall (1977)). The aim is to empirically test the Kaldor’s approach to growth and development in the Federation of Bosnia and Herzegovina. It is therefore designed a special data set consisting of two-dimensional tables and time series. Using regression analysis was quantified the relationship between the growth rate of gross domestic product and the growth of industrial production. 

scholarly journals Continuous national gross domestic product (GDP) time series for 195 countries: past observations (1850–2005) harmonized with future projections according to the Shared Socio-economic Pathways (2006–2100)

2018 ◽  
Vol 10 (2) ◽  
pp. 847-856 ◽  
Author(s):  
Tobias Geiger
Keyword(s):  
Time Series ◽  
Economic Development ◽  
Gross Domestic Product ◽  
Climate Impact ◽  
Domestic Product ◽  
Data Set ◽  
The Past ◽  
Online Archive ◽  
Per Capita ◽  
Climate Impact Research

Abstract. Gross domestic product (GDP) represents a widely used metric to compare economic development across time and space. GDP estimates have been routinely assembled only since the beginning of the second half of the 20th century, making comparisons with prior periods cumbersome or even impossible. In recent years various efforts have been put forward to re-estimate national GDP for specific years in the past centuries and even millennia, providing new insights into past economic development on a snapshot basis. In order to make this wealth of data utilizable across research disciplines, we here present a first continuous and consistent data set of GDP time series for 195 countries from 1850 to 2009, based mainly on data from the Maddison Project and other population and GDP sources. The GDP data are consistent with Penn World Tables v8.1 and future GDP projections from the Shared Socio-economic Pathways (SSPs), and are freely available at http://doi.org/10.5880/pik.2018.010 (Geiger and Frieler, 2018). To ease usability, we additionally provide GDP per capita data and further supplementary and data description files in the online archive. We utilize various methods to handle missing data and discuss the advantages and limitations of our methodology. Despite known shortcomings this data set provides valuable input, e.g., for climate impact research, in order to consistently analyze economic impacts from pre-industrial times to the future.

scholarly journals Using big data to map the relationship between time perspectives and economic outputs

2019 ◽  
Vol 42 ◽  
Author(s):  
Christopher Y. Olivola ◽  
Helen Susannah Moat ◽  
Tobias Preis
Keyword(s):  
Big Data ◽  
Gross Domestic Product ◽  
Search Engine ◽  
Population Level ◽  
Domestic Product ◽  
Complex Relationship ◽  
Capita Gross Domestic Product ◽  
Time Perspectives ◽  
Per Capita ◽  
The Relationship

Abstract Recent studies have shown that population-level time perspectives can be approximated using “big data” on search engine queries, and that these indices, in turn, predict the per-capita Gross Domestic Product of countries. Although these findings seem to support Baumard's suggestion that affluence makes people more future-oriented, they also reveal a more complex relationship between time perspectives and economic outputs.

COVID-19 Early Vaccination Rates and Gross Domestic Product Per Capita

2021 ◽  
Vol 5 (1) ◽  
pp. 37-40
Author(s):  
Deepa Dongarwar ◽  
Brisa ◽  
Sitratullah ◽  
Korede ◽  
Hamisu
Keyword(s):  
Gross Domestic Product ◽  
Gdp Per Capita ◽  
Domestic Product ◽  
P Value ◽  
Valuable Insight ◽  
Public Health Response ◽  
Vaccination Rates ◽  
Creative Commons ◽  
Per Capita ◽  
The Relationship

Coronavirus disease – 2019 (COVID-19) vaccination is a crucial part of a multi-faceted public health response, and possibly, the best hope for ending the pandemic. In this ecological study, we examined the relationship between Gross Domestic Product (GDP) per capita and early vaccination rates across the world. Spearman’s correlation analysis was utilized to assess the strength and direction of the relationship between countries’ COVID-19 vaccination rates and GDP per capita. We observed that countries with high vaccination rates had higher GDP per capita (Spearman’s ƍ=0.35, p-value=0.01). Our study provides valuable insight into the association of GDP per capita and the early distribution of the COVID-19 vaccination.   Copyright © 2021 Dongarwar et al. Published by Global Health and Education Projects, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution License CC BY 4.0.

Sign in / Sign up

Export Citation Format

Share Document