Decoupling relationship analysis between urbanization and carbon emissions in 33 African countries

Duan, Xuelin; Li, Xi; Tan, Wenfang; Xiao, R.

doi:10.1016/j.heliyon.2022.e10423

Cited by 39 publications

(19 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Studies on the relationship between urbanization and CEs have been favored by the academic community, and a large amount of research has been conducted with varying conclusions [15,67]. Previous studies have found that there are negative, positive, or "inverted U-shaped" relationships between urbanization and CE intensity [39][40][41][42]. The HREEB is an important ecological barrier in China, and although urbanization is being promoted rapidly, there is still a large gap in its urbanization development level compared with economically developed regions.…”

Section: Spatial Relationship Between Urbanization Level and Carbon E...mentioning

confidence: 99%

See 1 more Smart Citation

Spatially Non-Stationary Response of Carbon Emissions to Urbanization in Han River Ecological Economic Belt, China

Zhen-wei

Mao

et al. 2022

IJERPH

View full text Add to dashboard Cite

Within the context of the “30·60 dual carbon” goal, China’s low-carbon sustainable development is affected by a series of environmental problems caused by rapid urbanization. Revealing the impacts of urbanization on carbon emissions (CEs) is conducive to low-carbon city construction and green transformation, attracting the attention of scholars worldwide. The research is rich concerning the impacts of urbanization on CEs but lacking in studies on their spatial dependence and heterogeneity at multiple different scales, especially in areas with important ecological statuses, such as the Han River Ecological Economic Belt (HREEB) in China. To address these gaps, this study first constructed an urbanization level (UL) measurement method. Then, using a bivariate spatial autocorrelation analysis and geographically weighted regression model, the spatial relationships between UL and CEs from 2000 to 2020 were investigated from a multiscale perspective. The results were shown as follows. The total CEs in the HREEB witnessed an upsurge in the past two decades, which was mainly dispersed in the central urban areas of the HREEB. The ULs in different regions of the HREEB varied evidently, with high levels in the east and low levels in the central and western regions, while the overall UL in 2020 was higher than that in 2000, regardless of the research scale. During the study period, there was a significant, positive spatial autocorrelation between UL and CEs, and similar spatial distribution characteristics of the bivariate spatial autocorrelation between CEs and UL at different times, and different scales were observed. UL impacted CEs positively, but the impacts varied at different grid scales during the study period. The regression coefficients in 2020 were higher than those in 2000, but the spatial distribution was more scattered, and more detailed information was provided at the 5 km grid scale than at the 10 km grid scale. The findings of this research can advance policy enlightenment for low-carbon city construction and green transformation in HREEB and provide a reference for CE reduction in other similar regions of the world.

show abstract

Section: Spatial Relationship Between Urbanization Level and Carbon E...mentioning

confidence: 99%

“…There are different views about the impact of urbanization on CEs [40][41][42]. One view is that urbanization accelerates the growth of CEs mainly by affecting residential and industrial energy consumption, construction industry energy consumption, and forest conversion for urban development [43,44].…”

Section: Introductionmentioning

confidence: 99%

Spatially Non-Stationary Response of Carbon Emissions to Urbanization in Han River Ecological Economic Belt, China

Zhen-wei

Mao

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…Environmental awareness and guiding residents to develop green consumption and low-carbon lifestyles should be strengthened [ 46 ]. Based on provincial characteristics, China needs to develop high-tech, low-carbon green industries to improve urban functions, reduce carbon emissions, and thus improve local CEE [ 47 ].…”

Section: Discussionmentioning

confidence: 99%

Differentiation Analysis on Carbon Emission Efficiency and Its Factors at Different Industrialization Stages: Evidence from Mainland China

Wei

Wang

2022

IJERPH

View full text Add to dashboard Cite

Industrial production is currently the main source of global carbon emissions. There are obvious differences in regional carbon emission efficiencies (CEE) at different industrial stages. We investigate CEE and explore its factors in mainland China at different industrialization stages from 2008-2020 using the super-SBM model with an undesirable output and the STIRPAT model. There is significant spatial heterogeneity in regional CEE, with gaps gradually widening. CEE’s spatial heterogeneity in mid-industrialized provinces is narrowing, while in late-industrialized and post-industrialized provinces, it is widening. CEE’s factors also differ in provinces at different industrialization stages. At the mid-industrialization stage, the industrial structure (IS) is the dominant factor, while population urbanization (PU) is dominant at the late-industrialization stage, and both PU and IS are dominant at the post-industrialization stage. Based on CEE’s characteristics at different industrialization stages, we propose suggestions for green development.

show abstract

“…5 depicts the increase in overall CO2 emissions and per-capita CO2 emissions due to the use of LPG and kerosene between 1994 and 2017. Cameroon has overtaken all countries in the Central African sub-region to take first place since the early 2000s [ 33 ]. Engo [ 34 ] claim that in 2016, the residential sector accounted for 7% of all CO2 emissions; however, given the dramatic rise in number of households since then, the current percentage may be higher.…”

Section: Energy Demand Trends In Cameroon's Householdsmentioning

confidence: 99%

Analysis of household LPG demand elasticity in Cameroon and policy implications

Sapnken

Kibong

Tamba

2023

Heliyon

View full text Add to dashboard Cite

Decoupling relationship analysis between urbanization and carbon emissions in 33 African countries

Cited by 39 publications

References 49 publications

Spatially Non-Stationary Response of Carbon Emissions to Urbanization in Han River Ecological Economic Belt, China

Spatially Non-Stationary Response of Carbon Emissions to Urbanization in Han River Ecological Economic Belt, China

Differentiation Analysis on Carbon Emission Efficiency and Its Factors at Different Industrialization Stages: Evidence from Mainland China

Analysis of household LPG demand elasticity in Cameroon and policy implications

Contact Info

Product

Resources

About