The relationship between energy consumption, trade, GDP (economic growth), population growth and carbon emissions: a recent evidence from South Africa

2018 ◽  
Vol 10 (2) ◽  
pp. 99
Author(s):  
Fortune Ganda
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Energy Consumption ◽  
Population Growth ◽  
Carbon Emissions ◽  
The Relationship

Study on the Relationship between Energy Consumption, Carbon Emission and Economic Growth in China

2013 ◽  
Vol 869-870 ◽  
pp. 746-749
Author(s):  
Tian Tian Jin ◽  
Jin Suo Zhang
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Energy Structure ◽  
Ardl Model ◽  
Relationship Of ◽  
The Relationship ◽  
Reducing Energy

Abstract. Based on ARDL model, this paper discussed the relationship of energy consumption, carbon emission and economic growth.The results indicated that the key to reduce carbon emissions lies in reducing energy consumption, optimizing energy structure.

scholarly journals Economic Growth And Carbon Emissions In South Africa: An Empirical Investigation

2011 ◽  
Vol 10 (7) ◽  
pp. 75 ◽  
Author(s):  
Nicholas M. Odhiambo
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Emissions ◽  
Empirical Investigation ◽  
Output Growth ◽  
Bounds Testing ◽  
Conservation Policies ◽  
Long Run

In this paper we examine the causal relationship between CO2 emissions and economic growth in South Africa - using the newly developed ARDL-Bounds testing approach. We incorporate energy consumption in a bivariate causality setting between CO2 emissions and economic growth, thereby creating a simple trivariate model. Our empirical results show that there is a distinct unidirectional causal flow from economic growth to carbon emissions in South Africa. We also find that energy consumption Granger-causes both carbon emissions and economic growth. We recommend that energy conservation policies, as well as appropriate forms of renewable energy, should be explored in South Africa in order to enable the country to reduce its carbon emission footprint without necessarily sacrificing its output growth. The results apply irrespective of whether the causality is estimated in the short or in the long run.

The Asymmetric Impact of Economic Growth, Energy Consumption, Population, and R&D on Carbon Emission in Turkey

2022 ◽  
pp. 200-215
Author(s):  
Nurcan Kilinc-Ata
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Population Growth ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Nonlinear Ardl ◽  
Asymmetric Impact ◽  
The Asymmetry ◽  
Growth Energy

The presented study analyzes the asymmetry effect of research and development (R&D) expenditures, population growth, energy consumption, and economic growth on carbon emissions in the sample of Turkey for the period 1990-2020. Nonlinear ARDL is used to control the asymmetry of the variables. Linear ARDL is used to control the long-term and short-term relationships between the variables. The findings show that there is a symmetrical or linear relationship between the variables of R&D expenditures, population growth, energy consumption, economic growth, and carbon emissions. The findings display that economic growth and R&D are effective in reducing carbon emissions, while energy consumption seems to increase carbon emissions. Interestingly, the population was found to be effective in reducing carbon emissions in the study. In order for Turkey to reach its 2050 target, it is necessary to give priority to environmental regulations and policies.

Application of Lagrange Interpolation Algorithm in Beijing Carbon Emissions Prediction

2014 ◽  
Vol 1010-1012 ◽  
pp. 1844-1849
Author(s):  
Mo Yu Wang ◽  
Yan Yan Wang ◽  
Xiao Liu Shen
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Lagrange Interpolation ◽  
Interpolation Algorithm ◽  
Beijing City ◽  
Depth Analysis ◽  
The Government ◽  
Matlab Programming ◽  
The Relationship

Based on the depth analysis of the related literature and the present situation of energy consumption of Beijing’s carbon emissions, through the MATLAB programming on the Lagrange interpolation algorithm, the paper predicts the carbon emissions from energy consumption in Beijing’s economic growth. According to the relevant historical and predicted data, the paper examines the process of Carbon Emission Trend of energy consumption in Beijing. The results show that: Beijing carbon emissions showed "Y=X3" type growth. Combining the current situation, the paper analyzes the results, and finally provides decision support to the government, to promote the relationship between economic growth and energy consumption of carbon emissions in Beijing city into the inverted "U" trend.

Recent advances in the relationship between economic development and carbon emissions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ziqi Yin ◽  
Xue Jin
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
High Frequency ◽  
Visual Analysis ◽  
Rapid Development ◽  
Content Type ◽  
Wide Range ◽  
The Relationship

PurposeWith the rapid development of the economy, carbon emissions have also risen sharply. This study explores the relationship between the two by combining the literature of relevant fields and maps the analytical framework from the knowledge base to the research frontier model using CiteSpace.Design/methodology/approachUsing CiteSpace and data statistical tools, we conducted a bibliometric and visual analysis of nearly ten thousand research papers on carbon emissions and economic development published in the Web of Science (WOS) and China National Knowledge Infrastructure (CNKI) databases from 1991 to 2021.FindingsIt shows that research on economic development and carbon emissions is developing steadily and involves a wide range of fields. Notably, keywords such as “carbon emissions,” “economic growth,” and “energy consumption” had high frequency, centrality, and persistence. “carbon emissions,” “economic growth,” and “energy consumption” had high frequency, centrality, and persistence. Research institutions in the USA and China have made great contributions to research on economic development and carbon emissions. The authors should continue to enrich and improve research on related subjects and concerns to reasonably plan the path of carbon emission reduction and economic development.Originality/valueThe study analyzes the evolution of the relationship between carbon emissions and economic growth to provide scholars a more comprehensive and in-depth understanding of the relationship from an international perspective.

An Empirical Study on China's Energy Consumption, Carbon Emissions and Economic Growth

2013 ◽  
Vol 869-870 ◽  
pp. 377-380
Author(s):  
Meng Hui Liu ◽  
Kun Kun Xue
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Empirical Investigation ◽  
Var Model ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Negative Effect ◽  
The Relationship ◽  
Carbon Economy

With the development of low-carbon economy, it is necessary to explore the relationship between energy consumption, carbon emissions and the economic growth correctly. In this paper, the VAR model was proposed with analyzing the relationship between the three factories through pulse response graph. Through the empirical investigation, the result shows: increasing energy consumption can promote economic growth, while the increasing consumption will also raise emissions of carbon. However, the emissions of carbon have negative effect on economic growth. Therefore, we must correctly handle the relationship between the three factories. Thus, it offers the best way to develop the economic in this paper is to develop the low carbon economy.

Sign in / Sign up

Export Citation Format

Share Document