Analyzing the relationship between energy security performance and decoupling of economic growth from CO2 emissions for OECD countries

2021 ◽  
Vol 152 ◽  
pp. 111633
Author(s):  
Shi-Wei Huang ◽  
Yung-Fu Chung ◽  
Tai-Hsi Wu
Keyword(s):  
Economic Growth ◽  
Co2 Emissions ◽  
Energy Security ◽  
Oecd Countries ◽  
The Relationship

scholarly journals Economic Growth and CO2 Emissions for OECD Countries

2017 ◽  
Vol 3 (5) ◽  
pp. 30-37
Author(s):  
Hasan Hüseyin Yildirim
Keyword(s):  
Economic Growth ◽  
Co2 Emissions ◽  
Co2 Emission ◽  
Oecd Countries ◽  
Production And Consumption ◽  
Cointegration Tests ◽  
Per Capita ◽  
National Economies ◽  
The 19Th Century ◽  
The Relationship

Following the 19th century Energy became an important and indispensable input for production and consumption activities all over the world. In the mean time, Energy has become a very determinant factor for growth for national economies. In this study, we aim to investigate the relationship between economic growth and CO2 emission for OECD countries. Panel data method and cointegration tests will be employed to analyze OECD member countries over the period 1960-2014. GDP per capita will be the Proxy for the economic growth and CO2 emissions (metric tons per capita) will be taken for CO2 emission on yearly basis.

scholarly journals Comparative and Relational Trajectory of Economic Growth and Greenhouse Gas Emission: Coupled or Decoupled?

Energies ◽  
2020 ◽  
Vol 13 (10) ◽  
pp. 2550
Author(s):  
Taewook Huh
Keyword(s):  
Economic Growth ◽  
Greenhouse Gas ◽  
Co2 Emissions ◽  
Greenhouse Gas Emission ◽  
Carbon Dioxide Emission ◽  
Oecd Countries ◽  
Kuznets Curve ◽  
Regulatory Policies ◽  
Measurement Framework ◽  
The Relationship

This study looks at the global trajectory of the relationship between GDP (gross domestic product) and CO2 (carbon dioxide) emission in the time-series, comparative, and transitional point of view (from Y1992 to Y2014). It sets up a measurement framework and compares thirty-seven countries (thirty-six OECD countries and China) through the fuzzy-set ideal type analysis while focusing on the comparative and relational types. This research found that economic growth (GDP) and environmental problems (CO2 emissions) are tied together in a very solid path-dependent relationship. Particularly, the analysis of comparisons among OECD countries and China shows that the relationship between GDP and CO2 emissions is very firmly coupled, unlike the previous non-combination of one-dimensional statistics that are based on the environmental Kuznets curve (EKC) hypothesis. In short, it draws out and highlights the research implications that the existing conventions regarding the relationship between sustained economic growth and GHG (greenhouse gas) emissions reductions are ill-founded at the international comparative level. This paper reiterates the importance of relevant regulatory policies in order to reduce the harmful external effects of GHG and a need for policy measures to solve the problem in the long term.

Is There a Threshold Effect of Public Debt on Economic Growth?

2019 ◽  
pp. 49-64
Author(s):  
Seher Gulsah Topuz ◽  
Taner Sekmen
Keyword(s):  
Economic Growth ◽  
Linear Relationship ◽  
Public Debt ◽  
Threshold Effect ◽  
Oecd Countries ◽  
Fiscal Policies ◽  
The Public ◽  
Regression Methods ◽  
The Relationship ◽  
Panel Threshold Regression

In this chapter, the relationship between public debt and economic growth is examined for OECD countries. In order to determine this relationship, the data between 2002 and 2016 is analyzed using panel threshold regression methods. The findings of the study suggest that the relationship between public debt and economic growth is linear. The public debt threshold is estimated at 99.75% for OECD countries but it is statistically insignificant. While the public debt to GDP ratio is both below and above this threshold, the effect of public debt on economic growth is negative and statistically significant. There is no evidence of the existence of a non-linear relationship between public debt and economic growth. These findings are expected to guide policymakers in the implementation of fiscal policies.

The Relationship Between R&D Expenditures and Economic Growth ın OECD Countries With Different Causality Tests

2020 ◽  
pp. 107-118
Author(s):  
Gökhan Karhan
Keyword(s):  
Economic Growth ◽  
Research And Development ◽  
Oecd Countries ◽  
Causality Test ◽  
Panel Causality ◽  
Rolling Window ◽  
Causality Tests ◽  
Mathematical Techniques ◽  
Rolling Windows ◽  
The Relationship

In this chapter, the relationship between research and development (R&D) expenditures and economic growth was investigated with both Emirmahmutoğlu and Köse Causality test and the Dimitrescu and Hurlin Panel Causality test based on Rolling Windows Regression for the selected 19 OECD member countries for the period 1996-2015. The results concluded that for all panel there is a causality from economic growth to R&D expenditures. In this study, the relationship between variables was investigated using different mathematical techniques like rolling windows. According to the results of the Dimitrescu and Hurlin Panel Causality Test based on Rolling Window Regression, which is applied differently from other studies in the literature, there was a causality from economic growth to R&D expenditures in 2010. In 2011, there was causality from R&D expenditures to economic growth for all panels.

The Relationship Between Economic Growth and Innovation

2020 ◽  
pp. 358-382
Author(s):  
Samet Akça ◽  
Bilge Afşar
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Unit Root ◽  
Oecd Countries ◽  
Patent Applications ◽  
The Relationship ◽  
Positive Effect

This chapter studies innovation and economic growth and emphasizes their relationship. In this context; innovation and economic growth outputs of 16 OECD countries between 2005 and 2015 are analyzed. GDP is considered as economic growth variable, R&D investments in GDP (%), and patent applications are considered as innovation variables. In light of these variables, panel data analyze is used. Unit root, Pedroni co-integration and FMOLS tests were applied with the order. As a result, the increase in patent applications and R&D investments was found to have a positive effect on economic growth.

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