scholarly journals An Investigation into the Nexus Between Human Development and Carbon Dioxide Emissions? A Global Panel Analysis

Author(s):  
A. Désiré Adom

A fact is that the environment remains an open-ended topic of paramount importance and interest in the literature. This is also true among decision-makers and the average person on “Main Street.” Another fact is that the momentum of human development is ongoing in most parts of the globe with higher wealth creation capabilities, better education and access to it, and better healthcare, all of which translates into a higher life expectancy. In that global context, it becomes a worthwhile endeavor to empirically assess the relationship between human development and pollution in the form of carbon dioxide emissions. Towards this end, the study considers different statistical and econometric methods involving granger-causality, panel vector error correction, and impulse responses. Using a broad panel of 139 countries sourced from the World Bank Group and United Nations Development Programme (UNDP) over the 1995-2018 period, results indicate some key takeaways and a material policy implication. Improvements in human development exacerbate pollution in the short run. However, in the long run, pollution is contained, even lessened, with improvements in human development. This latter outcome could be due to a growing class of environmentally conscious economic agents and decision-makers over time as economies mature. Such results should not constitute grounds for the pursuit of unchecked and incautious policies. To the contrary, all stakeholders should redouble their efforts in either devising or scrupulously implementing greener policies.

2018 ◽  
Vol 6 (9) ◽  
pp. 178-195
Author(s):  
Aliyu Alhaji Jibrilla

This study empirically evaluates whether Green House Gases (GHGs) significantly increase with the rising population and urban growth in Nigeria. In addition, the study examine whether the energy demand also influences Nigerian contribution of global pollution emissions. The results of the Autoregressive Distributed Lag (ARDL) cointegration test indicated long-run and stable relationships among the variables. For affluence, we find evidence that, in the long run, domestic per capita income significantly increases carbon dioxide emissions and then falls after a certain extreme point, providing evidence of an inverted EKC hypothesis in Nigeria. The EKC finding was further supported by appropriate inverted U test. The results also demonstrated that both urbanisation and population change do not have a long term effect on emissions; although urbanisation seems to significantly raise emissions in the short-run.  Energy demand has been found to have a significantly positive elasticity effect on carbon dioxide emissions both in the long- and short-run. The short-run Granger causality results indicate that, all variables make a short-run adjustment to correct any deviation from the long-run equilibrium. In addition, analysis of the error correction models reveals that all of the variables contribute to their stable long-run relationship.


Author(s):  
Samuel Adams ◽  
Eric Evans Osei Opoku

This study examined the effect of population growth and urbanization on the environment (carbon dioxide emissions) for 37 sub Saharan African countries based on 1980-2010 annual data. Using the Pooled Mean Group estimation technique, the findings of the study show that affluence and industrialization have negative effect on the environment (increases carbon dioxide emissions) while urbanization does not have a significant effect on carbon dioxide emissions. The population variable is significant only in the long run but insignificant in the short run. Also, after controlling for the different age groups, the results show that the more active age group (15-59) is positive and significantly related to carbon dioxide emissions.


2019 ◽  
Vol 9 (8) ◽  
pp. 1692 ◽  
Author(s):  
Abdul Rehman ◽  
Ilhan Ozturk ◽  
Deyuan Zhang

The rapid agricultural development and mechanization of agronomic diligence has led to a significant growth in energy consumption and CO2 emission. Agriculture has a dominant contribution to boosting the economy of any country. In this paper, we demonstrate carbon dioxide emissions’ association with cropped area, energy use, fertilizer offtake, gross domestic product per capita, improved seed distribution, total food grains and water availability in Pakistan for the period of 1987-2017. We employed Augmented Dickey-Fuller and Phillips-Perron unit root tests to examine the variables’ stationarity. An autoregressive distributed lag (ARDL) bounds testing technique to cointegration was applied to demonstrate the causality linkage among study variables from the evidence of long-run and short-run analyses. The long-run evidence reveals that cropped area, energy usage, fertilizer offtake, gross domestic product per capita and water availability have a positive and significant association with carbon dioxide emissions, while the analysis results of improved seed distribution and total food grains have a negative association with carbon dioxide emissions in Pakistan. Overall, the long-run effects are stronger than the short-run dynamics, in terms of the impact of explanatory variables on carbon dioxide emission, thus making the findings heterogeneous. Possible initiatives should be taken by the government of Pakistan to improve the agriculture sector and also introduce new policies to reduce the emissions of carbon dioxide.


2021 ◽  
Vol 36 (2) ◽  
pp. 124
Author(s):  
Azhima Muhammad Fattah ◽  
Jaka Aminata ◽  
Indah Susilowati ◽  
Arief Pujiyono

The purpose of this research is to analyze the causality between economic variables, i.e. economic growth, economic openness, and energy consumption to carbon dioxide emissions, and analyze short-run and long-run connections between research variables in Indonesia during the period 1971 to 2018. This research is using VECM analysis and Granger Causality. The results of the VECM analysis in this research show that in the short-run the variable carbon dioxide emissions in the previous period, economic openness, and energy consumption have a significant effect on carbon dioxide emissions in Indonesia, and in the long run, the variables of economic growth, economic openness, and energy consumption have a significant effect on carbon dioxide emissions in Indonesia. The Granger Causality analysis found a bidirectional causality between energy consumption and carbon dioxide emissions. It also found unidirectional causality between economic growth and carbon dioxide emissions. The recommendations that can be shared are that The Government of Indonesia should be more worried about the degradation in environmental quality in Indonesia as a result of economic development. On the other hand, in achieving sustainable economic development, the Indonesian Government must immediately use energy resources more efficiently and environmentally friendly


2020 ◽  
Vol 11 (6) ◽  
pp. 196
Author(s):  
Shanjida Chowdhury ◽  
K. B. M. Rajibul Hasan ◽  
Mahfujur Rahman ◽  
K. M. Anwarul Islam ◽  
Nurul Mohammad Zayed

Developing countries face environmental degradation crisis due to the consumption of nonrenewable energy for economic development induces ecological destruction. However, the consequences of environmental deterioration can no longer be overlooked. Using data from 1990 from 2018, this study scrutinized the long-run equilibrium along with the trend among consumption of renewable energy, carbon dioxide emissions, Population, and economic growth in Bangladesh. This study reveals the significant cointegration of renewable energy with controlled variables using the ARDL bound test. Also, ECM with ARDL unrestricted version enables us to decide the speed of adjustment is 27.647% addressed for short-run elasticity in the long run. Stability and further diagnostic tests are performed for model post estimation and validation. Also, it needs further steps from the government side to promote renewable energy that boosts economic development.


2011 ◽  
Vol 17 (1) ◽  
pp. 67-90 ◽  
Author(s):  
Gregmar I. Galinato ◽  
Suzette P. Galinato

AbstractThis article formulates an empirical model that measures the short- and long-run effects of political stability, corruption control and economic growth on CO2 emissions from deforestation. Political stability and corruption have significant effects on forest cover in the short run and have lingering long-run effects. We derive a U-shaped forest–income curve where forest cover initially declines as per capita income increases, but starts to rise after an income turning point. Political stability and corruption control do not significantly affect the income turning point but both variables shift the forest–income curve up or down. The resulting CO2 emission–income curve is downward sloping and is based on changes in the levels of variables affecting forest cover. Increased political stability flattens the CO2 emissions–income curve, leading to smaller changes of CO2 emissions per unit change in income.


2019 ◽  
pp. 1355-1370
Author(s):  
Samuel Adams ◽  
Eric Evans Osei Opoku

This study examined the effect of population growth and urbanization on the environment (carbon dioxide emissions) for 37 sub Saharan African countries based on 1980-2010 annual data. Using the Pooled Mean Group estimation technique, the findings of the study show that affluence and industrialization have negative effect on the environment (increases carbon dioxide emissions) while urbanization does not have a significant effect on carbon dioxide emissions. The population variable is significant only in the long run but insignificant in the short run. Also, after controlling for the different age groups, the results show that the more active age group (15-59) is positive and significantly related to carbon dioxide emissions.


2018 ◽  
Vol 17 (2) ◽  
pp. 183-207 ◽  
Author(s):  
Sudeshna Ghosh

This article utilises the vector error correction model (VECM) and Granger causality tests to explore short-run and long-run relationships, in India, across carbon dioxide (CO2) emissions, energy consumption, agriculture value added (AV), trade liberalisation and financial development over the time period 1971–2013. The study adopts the autoregressive distributed lag (ARDL)-bound testing approach and Johansen–Juselius maximum likelihood procedure to find out the cointegrating relation among the variables. Both ARDL approach and Johansen–Juselius cointegration approach show that the concerned variables under study are cointegrated. Short-run Granger causality results indicate the existence of bidirectional causality between AV and CO2 emissions, and energy used and CO2 emissions. In the long-run trade, financial development, energy consumption and AV affect CO2 emissions. The results put thrust on the need to utilise energy-efficient technologies in agriculture to save the damage of the environment. JEL: C32, O53, Q43


Author(s):  
Matheus Koengkan ◽  
José Alberto Fuinhas

The impact of renewable energy consumption on the carbon dioxide emissions was analyzed for a panel of ten South American countries in a period from 1980 to 2012. The Autoregressive r to decompose the total effect of renewable energy consumption on the carbon dioxide emissions in its short- and long-run components. The results indicate that the consumption of renewable energy reduce the carbon dioxide emissions in -0.0420 % when the consumption of alternative sources increases in 1% in short-run. Keywords: Renewable energy, environmental, energy economics, econometric. 


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