The Relationship between Carbon Dioxide Emission Intensity and Economic Growth in China: Cointegration, Linear and Nonlinear Granger Causality

2016 ◽  
Vol 7 (2) ◽  
pp. 122-129 ◽  
Author(s):  
Tu Xiongling
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Granger Causality ◽  
Emission Intensity ◽  
Carbon Dioxide Emission ◽  
Linear And Nonlinear ◽  
The Relationship

Economic growth based in carbon dioxide emission intensity

2018 ◽  
Vol 506 ◽  
pp. 179-185 ◽  
Author(s):  
Tanja Vujović ◽  
Zdravka Petković ◽  
Miloš Pavlović ◽  
Srdjan Jović
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Emission Intensity ◽  
Carbon Dioxide Emission

scholarly journals The relationship of economic growth and carbon-dioxide emissions: an application on member countries of Organization of Islamic Cooperation

2021 ◽  
Vol 20 (4) ◽  
pp. 813-833
Author(s):  
Muhammed Veysel Kaya ◽  
Suat Serhat Yilmaz ◽  
Mehmet Gökhan Özdemir
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Natural Resources ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Environmental Damage ◽  
Homogeneity Test ◽  
Annual Data ◽  
Causality Analysis ◽  
The Relationship

Motivation: Humanity has benefited from natural resources in production activities throughout history and this pressure on natural resources has increased even more with the efforts of industrialization. In this process, people benefited heavily from fossil fuels in their production and distribution activities, thereby damaging the environment and the atmosphere to a large extent. With the destruction of the environment, it has become important for the countries and the academic circles to measure environmental damage with the increase of economic activities in order to take various measures. Aim: At this point, in this study, the relationship between economic growth and carbon-dioxide emissions was examined within the scope of 50 countries that are members of the Organization of Islamic Cooperation (OIC). In this process, annual data of the countries concerned between 1995 and 2017 were used; Pedroni Cointegration Analysis, Granger Causality Analysis, Pooled Mean Group Estimator (PMGE) and Mean Group Estimator (MGE) methods were used to measure and estimate the relationship between these two variables. The causality analysis shows that the economic growth is the Granger cause of carbon-dioxide emissions in the country group studied. In addition, the coefficients obtained in PMGE and MGE analyzes were found as 0.43 and 0.33 and were statistically significant and positive. Then, with the help of Hausman Homogeneity Test, it was decided between the two estimators, and it concluded that PMGE Estimator is the more reliable estimator. Results: The results obtained with the PMGE estimator indicate that the 1% increase in economic growth increased carbon dioxide emission by 0.43%.

scholarly journals Dynamic relationship between urban carbon dioxide emissions and economic growth

2020 ◽  
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Granger Causality ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Carbon Dioxide Emission ◽  
Dynamic Relationship

<p>Urban economic development cannot be separated from energy consumption, and energy consumption directly leads to a large number of carbon emissions. It is of great significance to study the relationship between carbon dioxide emissions and economic growth for the implementation of energy conservation, emission reduction and the development of low-carbon economy in cities. A new method of dynamic relationship between urban carbon dioxide emission and economic growth is put forward. The carbon dioxide emission data in cities are calculated by using urban carbon dioxide emission measurement method. The data of economic attributes are obtained by using classification algorithm under uncertain data flow environment. Based on this data, a decoupling model of carbon emission and economic growth is constructed to measure economic growth elasticity of urban carbon emissions; Granger causality test model is established to analyze the Granger causality between urban carbon dioxide emissions and economic growth. The experimental results show that the growth rate of urban economy is obviously faster than that of carbon emissions. Economic growth is the Granger causality of carbon dioxide emissions. On the contrary, the implementation of carbon emission reduction measures will not hinder economic growth.</p>

Causality between Energy Conservation and Economic Growth in China

2013 ◽  
Vol 291-294 ◽  
pp. 1251-1254
Author(s):  
Yun Bing Hou ◽  
Jian Min Wang ◽  
Sen Sen Shi ◽  
Xiao Zhang ◽  
Chun Lin Liu ◽  
...  
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Conservation ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Emissions Reduction ◽  
Causality Analysis ◽  
Long Run ◽  
Equilibrium Relationship ◽  
The Relationship

The relationship between carbon dioxide emissions and economic growth is analyzed and the results show that there exists a long-run equilibrium relationship between carbon dioxide emissions and economic growth to clear some people’s mind of doubts that energy conservation and carbon dioxide emissions reduction policy will hamper the economic development. When GDP increases, the carbon dioxide emission will increase too. Causality analysis shows that the unidirectional causal relationship exists and the direction is from GDP to carbon dioxide emission. The result implies that when a certain technique of carbon dioxide emissions reduction is used, it can not only reduce the carbon dioxide amount but promote the growth of GDP. Energy conservation and carbon dioxide reduction can form a new economic growth industry. To fulfill the promise of carbon dioxide emissions reduction to the world, China should make policies based on the relationship between carbon emissions and economic growth.

Driving Factors Analysis of Carbon Dioxide Emissions in China Based on STIRPAT Model

2013 ◽  
Vol 734-737 ◽  
pp. 1910-1914 ◽  
Author(s):  
Qiao Zhi Zhao ◽  
Qing You Yan
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
High Speed ◽  
Carbon Dioxide Emission ◽  
Urbanization Process ◽  
Stirpat Model ◽  
Factors Analysis ◽  
Secondary Industry

China is developing at relatively high speed, not only the regional development speed should be focused upon, but also the environmental impact of economic growth should be paid attention to, especially the level change of carbon dioxide emission. To some degree, quantity of carbon dioxide emission has become one of the most important indexes for measuring quality of a nations economic growth. Thus, this thesis is trying to analyze the driving relations between economic growth and carbon dioxide. Upon STIRPAT model, ridge regression method and elasticity theory are applied to analyze the influencing factors of carbon dioxide quantity such as the population quantity, Chinas urbanization process, per capita GDP, energy density and the percentage of the secondary industry. Correspondingly, based on the different influencing variables to carbon dioxide emission quantity, needy measures are brought out to control and decrease emissions. Feasible suggestions are trying to improve Chinas economic development quality.

The relationship between financial development and economic growth in Eswatini (formerly Swaziland)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Financial Development ◽  
Granger Causality Test ◽  
Causality Test ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Relationship

PurposeThe paper examined the relationship between financial development and economic growth for the period 1996 to 2018 in Eswatini.Design/methodology/approachThe Autoregressive Distributed Lag bounds test (ARDL) was employed to determine the long-run and short-run dynamics of the link between the variables of interest. The Granger causality test was also performed to establish the direction of causality between financial development and economic growth.FindingsThe ARDL results revealed that there is a long-run relationship between financial development and economic growth. The Granger causality test revealed bidirectional causality between money supply and economic growth, and unidirectional causality running from economic growth to financial development. The results highlight that economic growth exerts a positive and significant influence on financial development, validating the demand following hypothesis in Eswatini.Practical implicationsPolicymakers should formulate policies that aims to engineer more economic growth. The policies should strike a balance between deploying funds necessary to stimulate investment and enhancing productivity in order to enliven economic growth in Eswatini.Originality/valueThe study investigates the finance-growth linkage using time series analysis. It determines the long-run and short-run dynamics of this relationship and examines the Granger causality outcomes.

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