scholarly journals Impact of Energy Consumption on CO2 emissions: Case of Pakistan

2017 ◽  
Vol 4 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Nadia Bukhari ◽  
Muhammad Waseem
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Carbon Dioxide Emissions ◽  
Co2 Emission ◽  
Time Series Data ◽  
Carbon Dioxide Emission ◽  
Series Data ◽  
Consumption Expenditure ◽  
Causality Test ◽  
Final Consumption

This study investigates the long-term relationship between the carbon dioxide emissions, energy consumption, along with final consumption expenditure with regards to Pakistan by employing time series data from 1972 to 2013. For empirical analysis the Auto regressive distributed lag (ARDL) methodology is employed. A relationship between the energy consumption and the CO2 emission has been founded. The results of granger causality test point out the one way causality runs through energy consumption to carbon dioxide emission. The findings of the study also show that the CO2 emission is mainly determined by the energy consumption and the final consumption expenditure.

scholarly journals The Dynamic Relationship among Economic Growth, Energy Consumption and Environment in Iran

2015 ◽  
Vol 50 ◽  
pp. 118-128
Author(s):  
Hamid Amadeh ◽  
Parisa Kafi
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Carbon Dioxide Emissions ◽  
Time Series Data ◽  
Series Data ◽  
Long Run ◽  
Integration Test ◽  
The Government ◽  
Growth Energy

In recent decades, environmental risks and hazards are more visible. These damages caused by a combination of factors such as population growth, economic growth, energy, and industrial activities. This study discusses long-run equilibrium relationship, short-term dynamic relationships and causal relationships between energy consumption, economic growth and the environment (carbon dioxide emissions) in Iran, by using time series data during 1971-2009, through Co integration test. Co integration test demonstrates that a long-run relationship exists among the three variables. It is obvious that carbon dioxide emissions will be increased by positive shock of energy consumption and economic growth, by a one percent increase in energy consumption and economic growth, carbon dioxide emissions will increase 55 and 43 percent respectively. The result of this study is important because of reducing carbon dioxide emissions from energy use and economic development matters. In other words, to reduce carbon dioxide emissions, the government should reduce the amount of Petroleum products in energy consumption, and it also improves the efficiency of using energy.

scholarly journals Renewable energy and population growth for sustainable development in the Southeast Asian countries

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Duc Hong Vo ◽  
Anh The Vo
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Population Growth ◽  
Carbon Dioxide Emissions ◽  
Time Series Data ◽  
Southeast Asian ◽  
Series Data ◽  
Energy Usage

AbstractThe energy–environment–growth nexus has been examined for the Association of Southeast Asian Nations (ASEAN) region, mainly using time series data. However, the important role of renewable energy and population has largely been ignored in previous studies. As such, this study is conducted to investigate a causal link between renewable energy usage, population, carbon dioxide emissions, and economic growth. In addition, a relatively new and advanced panel vector autoregressive model and the Granger non-causality test for heterogeneous panels are utilized with a sample of seven ASEAN countries for almost three decades since 1990. Key findings from this paper are as follows. First, renewable energy usage responds to population growth and leads to carbon dioxide (CO2) emissions. Second, economic growth and renewable energy usage explain a substantial proportion of the change in energy consumption. Third, a bidirectional Granger causality does exist in each pair among energy consumption, economic growth and CO2 emissions. We argue that moderating population growth and extending renewable energy usage are vital to achieving sustainable economic growth in the ASEAN region.

Comparative Study on BRIC Carbon Dioxide Emissions - Econometric Empirical Test Based on Cross-Century Time Series Data

2012 ◽  
Vol 616-618 ◽  
pp. 1512-1515
Author(s):  
Wei Hua Du
Keyword(s):  
Carbon Dioxide ◽  
Time Series ◽  
Carbon Dioxide Emissions ◽  
Time Series Data ◽  
Comparative Statics ◽  
Total Carbon ◽  
Series Data ◽  
Per Capita Gdp ◽  
Bric Countries ◽  
Per Capita

Take for example the BRIC economies: Brazil, Russia, India and China. We investigated the time series data on the relationship between carbon dioxide emission and economic growth in these fast-growing developing countries by both comparative statics and comparative dynamics. The results show that there is the monotonic relationship between total carbon dioxide emissions, carbon dioxide emissions per capita and per capita GDP in any one of the BRIC countries. And there is decreasing relationship between the carbon dioxide emissions per unit GDP and per capita GDP.

Impact of urbanization on per capita energy use and emissions in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Stuti Haldar ◽  
Gautam Sharma
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Population Density ◽  
Carbon Dioxide Emissions ◽  
Energy Demand ◽  
Energy Use ◽  
Energy Intensity ◽  
Series Data ◽  
Content Type ◽  
Per Capita

Purpose The purpose of this study is to investigate the impacts of urbanization on per capita energy consumption and emissions in India. Design/methodology/approach The present study analyses the effects of urbanization on energy consumption patterns by using the Stochastic Impacts by Regression on Population, Affluence and Technology in India. Time series data from the period of 1960 to 2015 has been considered for the analysis. Variables including Population, GDP per capita, Energy intensity, share of industry in GDP, share of Services in GDP, total energy use and urbanization from World Bank data sources have been used for investigating the relationship between urbanization, affluence and energy use. Findings Energy demand is positively related to affluence (economic growth). Further the results of the analysis also suggest that, as urbanization, GDP and population are bound to increase in the future, consequently resulting in increased carbon dioxide emissions caused by increased energy demand and consumption. Thus, reducing the energy intensity is key to energy security and lower carbon dioxide emissions for India. Research limitations/implications The study will have important policy implications for India’s energy sector transition toward non- conventional, clean energy sources in the wake of growing share of its population residing in urban spaces. Originality/value There are limited number of studies considering the impacts of population density on per capita energy use. So this study also contributes methodologically by establishing per capita energy use as a function of population density and technology (i.e. growth rates of industrial and service sector).

Economic growth, Industrialization, Trade, Electricity production and Carbon dioxide emissions: Evidence from Ghana

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Kingsley Appiah ◽  
Rhoda Appah ◽  
Oware Kofi Mintah ◽  
Benjamin Yeboah
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Time Series Data ◽  
Electricity Production ◽  
Series Data ◽  
Data Set ◽  
Development Indicators ◽  
Explanatory Variables ◽  
Distributed Lag

Abstract: The study scrutinized correlation between electricity production, trade, economic growth, industrialization and carbon dioxide emissions in Ghana. Our study disaggregated trade into export and import to spell out distinctive and individual variable contribution to emissions in Ghana. In an attempt to investigate, the study used time-series data set of World Development Indicators from 1971 to 2014. By means of Autoregressive Distributed Lag (ARDL) cointegrating technique, study established that variables are co-integrated and have long-run equilibrium relationship. Results of long-term effect of explanatory variables on carbon dioxide emissions indicated that 1% each increase of economic growth and industrialization, will cause an increase of emissions by 16.9% and 79% individually whiles each increase of 1% of electricity production, trade exports, trade imports, will cause a decrease in carbon dioxide emissions by 80.3%, 27.7% and 4.1% correspondingly. In the pursuit of carbon emissions' mitigation and achievement of Sustainable Development Goal (SDG) 13, Ghana need to increase electricity production and trade exports.   

scholarly journals The Increase of Energy Consumption and Carbon Dioxide (CO2) Emission in Indonesia

2018 ◽  
Vol 31 ◽  
pp. 01008 ◽  
Author(s):  
Hadi Sasana ◽  
Annisa Eka Putri
Keyword(s):  
Carbon Dioxide ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Population Growth ◽  
Carbon Dioxide Emissions ◽  
Linear Regression Analysis ◽  
Carbon Dioxide Emission ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Fossil Energy

In the last decade, the increase of energy consumption that has multiplied carbondioxide emissions becomes world problems, especially in the developing countries undergoing industrialization to be developed ones like Indonesia. This aim of this study was to analyze the effect of fossil energy consumption, population growth, and consumption of renewable energy on carbon dioxide emission. The method used was multiple linear regression analysis with Ordinary Least Square approach using time series in the period of 1990 - 2014. The result showed that fossil energy consumption and population growth have a positive influence on carbon dioxide emission in Indonesia. Meanwhile, the consumption variable of renewable energy has a negative effect on the level of carbon dioxide emissions produced.

scholarly journals Assessing the Role of Environmental Expenditures and Green Transport in Emissions Released by Transport: An Application of ARDL Approach

2021 ◽  
Vol 9 ◽  
Author(s):  
Zahid Hussain ◽  
Cuifen Miao ◽  
Weitu Zhang ◽  
Muhammad Kaleem Khan ◽  
Zhiqing Xia
Keyword(s):  
Energy Consumption ◽  
Carbon Dioxide Emissions ◽  
Time Series Data ◽  
Oecd Countries ◽  
Joint Effect ◽  
Series Data ◽  
Cross Sectional ◽  
Railway Traffic ◽  
Long Run ◽  
Environmental Expenditures

This study investigates the effects of transport and environmental factors on transport carbon dioxide emissions (TCO2). It employs cross-sectional autoregressive distributed lags for the estimation in the short and long runs and examines the panel time-series data from 2000 to 2020 in the OECD countries. This method allows heterogeneity in the dependencies and slope parameters across the countries. The results demonstrate that road and railway traffic movements increase the amount of TCO2 in the short and long runs. In addition, transport energy consumption is the driving factor in releasing TCO2 in the long run. Moreover, the joint effect of locomotives and transport energy consumption significantly reduces TCO2 in the short run. By contrast, the findings support the argument that environmental expenditures and green transport mitigate TCO2 in the long run. The findings also show an inverted u-shaped relationship between TCO2 and transport energy consumption. With the empirical findings as a basis, we suggest that the OECD countries should reduce traffic movements and enhance the environmental expenditures so that they may produce green transport vehicles to combat environmental issues.

scholarly journals Is China’s target of a 40-45% reduction in carbon dioxide emission plausible?

2017 ◽  
Vol 5 (1) ◽  
pp. 46-50 ◽  
Author(s):  
Mpho Bosupeng
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Environmental Preservation ◽  
Carbon Taxation ◽  
Reduce Emissions ◽  
Potential Damage ◽  
Reduce Carbon Dioxide

AbstractIn the early days of industrialisation, economists believed that the ramifications of economic growth will far outweigh the potential damage to the environment. Today the concern is the rising magnitude of emissions. Many economies are under immense pressure to reduce carbon dioxide emissions. Carbon taxation and absorption technologies seem to be the main mechanisms controlling emissions in different nations. China proposed her target of reducing carbon dioxide emissions by 40-45% by 2025. The purpose of this study is to determine if China’s ambition of reducing its carbon dioxide emissions is feasible. This investigation also examines the potential effects of China's emissions on the economic growth of other countries. The study demonstrates that China’s target may not only reduce her output, but may also adversely affect the economic growth of others. This article further reveals that unemployment in China is likely to soar during the reduction in emissions and energy consumption. Additionally, this paper evaluates the effects of green taxation on carbon dioxide emissions. In conclusion, there is a possibility that China may reach her emissions target by 2025. However, the country faces a dilemma between economic growth and environmental preservation. It is recommended that China should explore techniques which will reduce emissions but not impinge negatively on economic growth.

Does trade openness affects global carbon dioxide emissions

2020 ◽  
Vol 31 (1) ◽  
pp. 32-53 ◽  
Author(s):  
Mohd Arshad Ansari ◽  
Salman Haider ◽  
N.A. Khan
Keyword(s):  
Carbon Dioxide ◽  
Saudi Arabia ◽  
Energy Consumption ◽  
Time Series Data ◽  
Structural Break ◽  
Trade Openness ◽  
Series Data ◽  
Content Type ◽  
Long Run ◽  
The Usa

Purpose The purpose of this paper is to analyze the effect of economic growth, international trade and energy consumption on the global carbon dioxide (CO2) emissions, in the case of top CO2 emitters, namely, USA, Japan, Canada, Iran, Saudi Arabia, UK, Australia, Italy, France and Spain using the annual data from 1971 to 2013. Design/methodology/approach For this purpose, the time series, data technique is applied. Unit root test with structural break and the bounds testing approach for cointegration in the presence of structural break is tested. Finally, a vector error correction model for the Granger causality test is applied to detect the direction of causality. The authors have used the techniques that will help in examining the structural break in the time series data. Findings The results reveal that their exists a long-run relationship between CO2 emissions and its determinants in the USA, Canada, Iran, Saudi Arabia, the UK, Australia, Italy, France and Spain, energy consumption is the main determinant of carbon dioxide (CO2) emissions in the long run and for direction of causality, the authors found bidirectional causality in the long run between energy consumption and CO2 emissions in the USA, Canada, Iran, Saudi Arabia and the UK, and Granger causality running in opposite direction in the case of Australia from CO2 emissions to energy consumption was analyzed. In terms of growth-trade-pollution nexus (USA, Canada, Iran and France) hold one-way causality running from economic growth and trade openness to CO2 emissions (IV) the environmental Kuznets curve hypothesis is validated only for the USA. Robust policy implications can be derived from this study. First, without harming the economy, these countries can reduce the use of energy consumption for lower pollution. Second, the amount of trade should be decreased to lower the emissions because the authors find that an increase in trade does Granger cause to CO2 emissions in the long run. Originality/value There has been no study that investigated the relationship between CO2 emissions, real income, consumption of energy and international trade in the environmental Kuznets relation for the top CO2 emitter’s countries over the period of 1971–2013. The authors did a comparative study of the empirical finding among these nations.

Calculation of Carbon Dioxide Emission in Nanjing City and its Influencing Factors

2014 ◽  
Vol 665 ◽  
pp. 517-520
Author(s):  
Qiang Zhao ◽  
Xiu Mei Li ◽  
Xiang Yu Cui
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Influencing Factors ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Clean Energy ◽  
Energy Structure ◽  
Low Carbon ◽  
Index Decomposition ◽  
Laspeyres Index

The research estimates the carbon dioxide emissions of energy consumption from 2003 to 2011 using the method in IPCC national greenhouse gases listing guidance, by adopting the method of Kaya identities and Laspeyres index decomposition technique to analyze the influencing factors and the influencing degree. The result shows that the main factors influencing carbon dioxide emissions are energy structure and per capita GDP, and to develop clean energy, to improve energy structure are important choice to reduce the carbon dioxide emissions of energy consumption, realize low carbon in the future. This research provides an important reference to protect the environment and to promote the sustainable development of economy.

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