Empirics of the International Inequality in $$\hbox {CO}_{2}$$ CO 2 Emissions Intensity: Explanatory Factors According to Complementary Decomposition Methodologies

Duro, Juan Antonio; Teixidó-Figueras, Jordi; Padilla, Emilio

doi:10.1007/s10640-014-9840-6

Cited by 18 publications

(16 citation statements)

References 30 publications

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“…(+) [1,16,29,30,32,[35][36][37] Fleet [Fleet] Motor vehicles used for transportation purposes consume fuels which produce GHG emissions. (+) [25,[29][30][31][32][33][34][35][36][37][38][39][40]…”

Section: Carbon Intensity [Ci]mentioning

confidence: 99%

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Greenhouse Gas Emissions Growth in Europe: A Comparative Analysis of Determinants

Sánchez

Martín-Ortega²

2020

Sustainability

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Understanding the underlying reasons for greenhouse gas (GHG) emissions trends in different countries is fundamental for climate change mitigation. This paper identifies the main determinants that affect GHG emissions growth and assesses their impact and differences among countries in Europe. Previous studies have produced inconclusive results and presented several limitations, such as the lack of quality of the data used, the reduced identification of determinants and the use of methods that did not enable hypothesis testing. Conversely, this research identifies an extended list of determinants of GHG emissions, performs an in-depth statistical analysis and contrasts the significance of determinants using panel data and multiple linear regression models for the period 1990–2017 for the main Eurozone countries. The study found that GDP and final energy intensity are the main drivers for the reduction of GHG emissions in Europe. Furthermore, energy prices are not significant and heterogeneous results are found for the renewable energy, fuel mix and carbon intensity determinants, pointing to a different behavior at the country level. The uneven impact of the main determinants of GHG emission growth suggest that a differentiated application of European policies at country level will enhance the efficiency of mitigation efforts in Europe.

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Section: Carbon Intensity [Ci]mentioning

confidence: 99%

“…The authors in [15][16][17] improved the decomposition analysis using regression techniques for assessing the inequality of GHG emissions and emission intensity. These analyses, however, did not aim at analyzing the reasons for the GHG emissions growth, and contained a limited identification and assessment of determinants of GHG emissions.…”

Section: Introductionmentioning

confidence: 99%

Greenhouse Gas Emissions Growth in Europe: A Comparative Analysis of Determinants

Sánchez

Martín-Ortega²

2020

Sustainability

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“…After the study of Theil [18] in the field of income inequality, the vast literature of environmental inequality studies has emerged. Some of these studies have applied the Theil index to measure CO 2 emission inequality globally (see, e.g., [50,[70][71][72][73][74]), exposure to industrial pollution [7], or health disparity [75].…”

Section: The Empirical Methodologymentioning

confidence: 99%

Air Pollution Inequality and Its Sources in SO2 and NOX Emissions among Chinese Provinces from 2006 to 2015

2018

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This paper investigates inequality in SO 2 and NO X emissions, by observing their extraordinary levels and uneven distribution in China during the period of the 11th and 12th Five-Year Plans (FYPs, 2006(FYPs, -2015. This provincial and regional analysis utilizing the Theil index and Kaya factors help us to find the trajectory of inequality and its primary sources. Based on our analysis, we conclude the driving factors behind emissions inequalities are as follows. There are four economic factors of per capita SO 2 emission: SO 2 emission intensity of coal consumption, coal intensity of power generation, power intensity of GDP, and per capita GDP. Additionally, there are four urban development factors of per capita NO X emission: NO X emission intensity of gasoline consumption, proportion of gasoline vehicles, vehicle use in urban population, and urbanization rate. The SO 2 emission results represent an increase of 6% in overall inequality where the inequality of power intensity of GDP is the main contributor. In terms of NO X emission, the 3% growth in total inequality is related to the high effect of NO X emission intensity of gasoline consumption. We also examine the effect of other factors affecting the trajectory of inequalities. To apply these results in practice, we compare the 11th and 12th FYPs and give some policy suggestions.

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“…They further analyzed the source of the CO 2 inequality from the perspectives of groups (divided by geography, economy, etc.) [13,14,23], energy types [2,24], and economic sectors [25,26], and discussed the driving factors that caused the inequality [27][28][29].…”

Section: Literature Reviewmentioning

confidence: 99%

“…In this sense, and if measures to limit economic growth are not on the agenda, the reduction of global emissions necessarily requires a significant decrease in CO 2 emission intensities (CO 2 emissions per unit of output). The target of intensity decrease can also be seen as a preliminary goal to achieve the ultimate target in terms of absolute reductions [2].…”

Section: Introductionmentioning

confidence: 99%

Provincial-Level CO2 Emissions Intensity Inequality in China: Regional Source and Explanatory Factors of Interregional and Intraregional Inequalities

Jiang

Liu

2020

Sustainability

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As the largest emitter in the world, China has pledged to reduce CO2 emissions intensity (CO2 emissions per unit of output) by 60–65% between 2005 and 2030. CO2 emissions intensity inequality analysis in China can provide a scientific basis for the Chinese government to formulate reasonable regional carbon emission abatement strategies, so as to realize the goal above. This paper adopted the Theil index to study the provincial-level CO2 emissions intensity inequality in China during 2005–2015. The regional decomposition was firstly conducted and then the factors of interregional and intraregional inequalities were explored. The results show: (i) a clear increase in provincial CO2 emissions intensity inequality in China has happened; (ii) this inequality and its increase were both mainly explained by the intraregional component; and (iii) the energy efficiency was the most important and positive contributor in the interregional, Eastern, Central, and Western China inequalities. Energy efficiency was also the key factor that caused the growth in interregional and Western China inequalities. However, most of the Eastern and Central China inequality increments over the whole period were respectively driven by the expanding carbonization gap and the changing GDP share, instead of the trajectory of energy efficiency. According to the results, regional emission mitigation strategies were proposed.

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Empirics of the International Inequality in $$\hbox {CO}_{2}$$ CO 2 Emissions Intensity: Explanatory Factors According to Complementary Decomposition Methodologies

Cited by 18 publications

References 30 publications

Greenhouse Gas Emissions Growth in Europe: A Comparative Analysis of Determinants

Greenhouse Gas Emissions Growth in Europe: A Comparative Analysis of Determinants

Air Pollution Inequality and Its Sources in SO2 and NOX Emissions among Chinese Provinces from 2006 to 2015

Provincial-Level CO2 Emissions Intensity Inequality in China: Regional Source and Explanatory Factors of Interregional and Intraregional Inequalities

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