Technological constraints to energy-related carbon emissions and economic growth decoupling: A retrospective and prospective analysis

Apeaning, Raphael

doi:10.1016/j.jclepro.2020.125706

Cited by 52 publications

(16 citation statements)

References 20 publications

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“…Thus, it is considered that while energy intensity describes the efficiency of energy usage, the analyzed components would elucidate the consumption structure and the importance of each element (by destination and source). Previous studies proved that in the case of developing economies, such as those considered in our research, the economic growth is even exceeded by the carbon production [59] and their energy consumption is one of the main drivers for it.…”

Section: Dataset Descriptionmentioning

confidence: 62%

National Carbon Accounting—Analyzing the Impact of Urbanization and Energy-Related Factors upon CO2 Emissions in Central–Eastern European Countries by Using Machine Learning Algorithms and Panel Data Analysis

Nuţă

Zamfir

et al. 2021

Energies

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The work at hand assesses several driving factors of carbon emissions in terms of urbanization and energy-related parameters on a panel of emerging European economies, between 1990 and 2015. The use of machine learning algorithms and panel data analysis offered the possibility to determine the importance of the input variables by applying three algorithms (Random forest, XGBoost, and AdaBoost) and then by modeling the urbanization and the impact of energy intensity on the carbon emissions. The empirical results confirm the relationship between urbanization and energy intensity on CO2 emissions. The findings emphasize that separate components of energy consumption affect carbon emissions and, therefore, a transition toward renewable sources for energy needs is desirable. The models from the current study confirm previous studies’ observations made for other countries and regions. Urbanization, as a process, has an influence on the carbon emissions more than the actual urban regions do, confirming that all the activities carried out as urbanization efforts are more harmful than the resulted urban area. It is proper to say that the urban areas tend to embrace modern, more green technologies but the road to achieve environmentally friendly urban areas is accompanied by less environmentally friendly industries (such as the cement industry) and a high consumption of nonrenewable energy.

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Section: Dataset Descriptionmentioning

confidence: 62%

National Carbon Accounting—Analyzing the Impact of Urbanization and Energy-Related Factors upon CO2 Emissions in Central–Eastern European Countries by Using Machine Learning Algorithms and Panel Data Analysis

Nuţă

Zamfir

et al. 2021

Energies

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“…The deterioration of the environment has made us realize that it is unsustainable to promote economic development at the expense of environmental quality. As a result, many scholars are devoted to exploring the relationship between economy and environment in order to serve coordinated development [ 8 ]. Among them, the Environmental Kuninets Curve (EKC) revealed an inverted U-shaped relationship between per capita income and environmental pollution levels, which sparked the attention of a wide range of scholars.…”

Section: Literature Reviewmentioning

confidence: 99%

Revisiting the Existence of EKC Hypothesis under Different Degrees of Population Aging: Empirical Analysis of Panel Data from 140 Countries

2021

IJERPH

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Population aging and environmental sustainability have become two hot topics in the world today. To clarify whether the Environmental Kuninets Curve (EKC) hypothesis between the economy and the environment is still valid in the context of population aging is the key to reveal the complexity of social-ecological systems in aging societies. So far, the impact of population aging on the environment has not been clear. To this end, an empirical analysis on the threshold panel model was conducted using panel data of 140 countries from 2000 to 2015. The global findings suggest that economic growth was the main reason for the increase in the ecological footprint at the beginning of aging. However, deepening aging weakened this association between economic and ecological footprints. For high-income countries, with the deepening of aging, the economic and ecological footprints were firstly negatively correlated, then positively correlated, and finally negatively correlated. In other words, the EKC hypothesis remained valid in high-income countries as aging deepened. In contrast, for the low- and middle-income group, the economic-environmental association was not affected by the degree of aging. This result sheds light on the variability of different income country groups in coping with the environmental impacts of aging. For the high-income group, policy makers should pay attention to the aging threshold in socio-ecological management. Only in this way can the development of aging and the ecological environment be reconciled to the greatest extent.

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“…Many methodologies were frequently employed to explore the drivers of carbon emission, including Kaya identity, structural decomposition analysis (SDA) and logarithmic mean Divisia index (LMDI) decompose model [41][42][43][44]. The GeoDetector is a statistical method to detect spatial stratified heterogeneity and elucidate the driving factors behind it.…”

Section: Driving Forces Of Carbon Footprint Pressure Based On the Geodetector Methodsmentioning

confidence: 99%

Decoupling the Relationships between Carbon Footprint and Economic Growth within an Urban Agglomeration—A Case Study of the Yangtze River Delta in China

Pei

Zhong

Qiao

2021

Land

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Carbon footprint is emerging as an effective tool for carbon emission management, especially that from fossil energy consumption. In addition, decoupling analysis is important to keep a high pace of economic growth while reducing carbon emission and its carbon footprint. Taking the Yangtze River Delta (YRD) urban agglomeration in China as a case, this paper examined the changes in carbon footprint and carbon footprint pressure by incorporating land resource limits. On this basis, we further analyzed the decoupling relationships between carbon footprint, carbon footprint pressure and economic growth. The GeoDetector was also employed to detect the spatial heterogeneity of the carbon footprint pressure. The results showed that despite the decrease of carbon emissions from 2011 to 2019 in the YRD, carbon footprint pressure still revealed an increased trend in this period. As to the decoupling relationships between carbon footprint, carbon footprint pressure and economic growth, they were improved in most of the cities in the YRD, changing from expansive coupling to weak decoupling to strong decoupling. However, the descending trend of decoupling elasticity coefficient for carbon footprint pressure is smaller than that of the carbon footprint. This result could be explained by the fact that not only carbon emission but also carbon sequestration (by productive lands including forests and grasslands) pose large impacts on carbon footprint pressure. The findings indicate the necessity not only to reduce carbon emission, but also to protect productive lands to realize low carbon economy.

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Technological constraints to energy-related carbon emissions and economic growth decoupling: A retrospective and prospective analysis

Cited by 52 publications

References 20 publications

National Carbon Accounting—Analyzing the Impact of Urbanization and Energy-Related Factors upon CO2 Emissions in Central–Eastern European Countries by Using Machine Learning Algorithms and Panel Data Analysis

National Carbon Accounting—Analyzing the Impact of Urbanization and Energy-Related Factors upon CO2 Emissions in Central–Eastern European Countries by Using Machine Learning Algorithms and Panel Data Analysis

Revisiting the Existence of EKC Hypothesis under Different Degrees of Population Aging: Empirical Analysis of Panel Data from 140 Countries

Decoupling the Relationships between Carbon Footprint and Economic Growth within an Urban Agglomeration—A Case Study of the Yangtze River Delta in China

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