The impact of economic complexity on carbon emissions: evidence from France

Can, Muhlis; Gözgör, Giray

doi:10.1007/s11356-017-9219-7

Cited by 308 publications

(172 citation statements)

References 25 publications

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“…According to existing studies [66,78,79], the sectoral structure of the economy and the composition of energy consumption (solid fuels, oil, gas, and renewable energy), as well as the economic complexity [27] influence the level of pollutant emissions. The economic complexity was chosen as the primary explanatory variable because it is considered an accurate predictor of economic growth and expression of a skill-based, knowledge-based and sophisticated production [22], which was not included before in a panel analysis of environmental impact.…”

Section: Model and Datamentioning

confidence: 99%

“…In other words, if products complexity creates more greenhouse gas emission, the import can be an alternative. However, as Can and Gozgor (2017) [27] stated, a detailed analysis of the scale of environmental degradation in each industry is needed.…”

Section: Conclusion and Policy Implicationsmentioning

confidence: 99%

“…Considering the above, it can be noted that the relationship between economic complexity and GHG emissions has not been analysed to date in the relevant literature, except for the aforementioned work of Can and Gozgor (2017) [27] which tests the validity of the EKC hypothesis in the French economy. The aim of the paper is to examine the long-term relationship between economic complexity, energy consumption structure and GHG emissions within a panel of 25 European Union countries.…”

Section: Introductionmentioning

confidence: 99%

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The Relationship between Economic Complexity, Energy Consumption Structure and Greenhouse Gas Emission: Heterogeneous Panel Evidence from the EU Countries

2019

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The aim of the paper is to examine the long-term relationship between economic complexity, energy consumption structure, and greenhouse gas emission, within a panel of European Union countries and two subpanels: (i) European economies with higher economic complexity and (ii) European economies with a lower level of economic complexity. Taking into consideration the heterogeneity among European countries, the heterogeneous panel technique is used, including panel estimation through fully modified least squares (FMOLS) and dynamic ordinary least squares (DOLS). The empirical findings indicate a long-term equilibrium relationship between economic complexity, energy consumption structure and greenhouse gas emission within all three panels. Economic complexity and energy consumption structure have a statistically significant impact on greenhouse gas emission within all panels, but the influence is higher within the subpanel of countries with a lower level of economic complexity, suggesting a higher risk of pollution as the economic complexity grows and as the energy balance inclines in favor of non-renewable energy consumption. Our paper suggests that the economic complexity is a variable that must be taken into consideration when national economic and energy policies are shaped. Finally, policy implications for each panel of countries are discussed.

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Section: Model and Datamentioning

confidence: 99%

Section: Conclusion and Policy Implicationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Relationship between Economic Complexity, Energy Consumption Structure and Greenhouse Gas Emission: Heterogeneous Panel Evidence from the EU Countries

2019

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“…There is a scarcity of bibliographical resources regarding the link between economic complexity and pollution. The study of Can and Gozgor (2017) [17] highlights the impact of economic complexity index on carbon emissions in France. For the first time, the economic complexity (ECI) is introduced in a model testing the Environmental Kuznets validity in France over the period 1964-2014.…”

Section: Introductionmentioning

confidence: 99%

The Link between Economic Complexity and Carbon Emissions in the European Union Countries: A Model Based on the Environmental Kuznets Curve (EKC) Approach

Neagu

2019

Sustainability

136

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The aim of the paper is to apply the Environmental Kuznets Curve (EKC) model in order to explore the link between economic complexity index (ECI) and carbon emissions, in 25 selected European Union (EU) countries from 1995–2017. The study examines a cointegrating polynomial regression (CPR) for a panel data framework as well as for simple time series of individual countries. In the model is also included the variable ‘energy intensity’ as main determinant of carbon emissions. Depending on economic complexity, the CO2 emissions pattern was found to exhibit an inverted U-shaped curve: in the initial phase, pollution increases when countries augment the complexity of the products they export using and after a turning point the rise of economic complexity suppress the pollutant emissions. The panel cointegration test indicates a long-run relationship between economic complexity, energy intensity and carbon emissions. It was also found that a rise of 10% of energy intensity would lead to a 3.9% increase in CO2 emissions. The quadratic model incorporating ECI is validated for the whole panel as well as for six countries (Belgium, France, Italy, Finland, Sweden and the United Kingdom). The graphical representation of the EKC in these countries is discussed. Policy implications are also included.

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“…Additionally, at these stages, manufacturers use cleaner technologies to get away from the factors that contributed to air pollution during the production process. Moreover, high-income countries tend to limit those manufacturing products that cause pollution (Can and Gozgor, 2017).…”

Section: Introductionmentioning

confidence: 99%

Effects of export concentration on CO2 emissions in developed countries: an empirical analysis

Apergis

Can

Gözgör

et al. 2018

Environ Sci Pollut Res

Self Cite

100

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This paper provides the evidence on the short- and the long-run effects of the export product concentration on the level of CO emissions in 19 developed (high-income) economies, spanning the period 1962-2010. To this end, the paper makes use of the nonlinear panel unit root and cointegration tests with multiple endogenous structural breaks. It also considers the mean group estimations, the autoregressive distributed lag model, and the panel quantile regression estimations. The findings illustrate that the environmental Kuznets curve (EKC) hypothesis is valid in the panel dataset of 19 developed economies. In addition, it documents that a higher level of the product concentration of exports leads to lower CO emissions. The results from the panel quantile regressions also indicate that the effect of the export product concentration upon the per capita CO emissions is relatively high at the higher quantiles.

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The impact of economic complexity on carbon emissions: evidence from France

Cited by 308 publications

References 25 publications

The Relationship between Economic Complexity, Energy Consumption Structure and Greenhouse Gas Emission: Heterogeneous Panel Evidence from the EU Countries

The Relationship between Economic Complexity, Energy Consumption Structure and Greenhouse Gas Emission: Heterogeneous Panel Evidence from the EU Countries

The Link between Economic Complexity and Carbon Emissions in the European Union Countries: A Model Based on the Environmental Kuznets Curve (EKC) Approach

Effects of export concentration on CO2 emissions in developed countries: an empirical analysis

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