Explaining events of strong decoupling from CO2 and NOx emissions in the OECD 1994–2016

Lundquist, Sanna

doi:10.1016/j.scitotenv.2021.148390

Cited by 24 publications

(18 citation statements)

References 67 publications

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“…Its applications include the decoupling problem in energy consumption [50,51], agricultural resource utilization [52,53], and electricity consumption [54]. Carbon decoupling means a gradual reduction in energy consumption based on economic growth [55]. Building upon this concept, Vehmas et al [56] established a framework.…”

Section: Decoupling Modelmentioning

confidence: 99%

Research on the Decoupling Relationship and Driving Factors of Carbon Emissions in the Construction Industry of the East China Core Economic Zone

Zheng,

He,

Liang

et al. 2024

Buildings

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This study focuses on the core economic zone of East China, utilizing the decoupling model to investigate the relationship between carbon emissions and economic development in the construction industry. Furthermore, it analyzes the driving factors through the application of the logarithmic mean index method. The findings reveal that, firstly, Zhejiang and Jiangsu provinces exhibit higher total carbon emissions in the construction industry. Except for Fujian Province, the other regions exhibit a downward trend after 2019. Secondly, there is considerable spatial variability in carbon emissions in the construction industry within the core economic zone of East China, and it gradually decreases over the study period. While economically developed regions like Zhejiang and Jiangsu provinces tend to concentrate and consume more resources and energy, their impact on surrounding neighboring provinces or cities is relatively limited. Thirdly, carbon emissions from the construction industry in the core economic zone of East China show a development trend shifting from weak decoupling to strong decoupling, indicating a healthy growth in the construction industry. Specifically, different regions show different trends. Lastly, regarding influencing factors, the impact direction of carbon intensity on total carbon emissions shows instability. Energy intensity consistently exhibits inhibitory effects, and the economy and the population scale act as driving forces.

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Section: Decoupling Modelmentioning

confidence: 99%

Research on the Decoupling Relationship and Driving Factors of Carbon Emissions in the Construction Industry of the East China Core Economic Zone

Zheng,

He,

Liang

et al. 2024

Buildings

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show abstract

“…Compared with other relationship testing models, this method can better reflect the relative changes in economic and environmental pressures 21 . The decoupling index model mainly includes the decoupling index model proposed by OECD 22 and the decoupling analysis model proposed by Tapio 23 . The Tapio decoupling model is more stable and accurate than the OECD index model.…”

Section: Literature Reviewmentioning

confidence: 99%

Decoupling analysis and peak prediction of carbon emission in less developed provinces: A case study of Sichuan province, China

Chen

Liu

et al. 2023

Greenhouse Gases

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With the increasing severity of climate change, the unevenness of economic development has resulted in the heterogeneity of carbon peaking in different regions. Under the dual‐carbon target strategy, the peak research in China's less developed provinces is significant. This study uses the emission factor method to calculate the carbon emission inventory of an economically underdeveloped province (Sichuan) and 15 major cities from 2010 to 2020. The carbon emissions in the Sichuan province showed a fluctuating trend, and the emission intensity decreased year by year. This study analyzes the decoupling effect of carbon emissions and GDP gold content (GDPgc). Sichuan's economy and carbon emissions have not been strongly decoupled. Finally, under three scenarios, it forecasts the peak carbon emissions in Sichuan province. Sichuan province will peak in 2029 (361.74 million tons) under the simultaneous peak scenario. This study provides an important reference for formulating and implementing energy‐saving and emission‐reduction policies in relatively poor regions. © 2023 Society of Chemical Industry and John Wiley & Sons, Ltd.

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“…However, further research found that the drivers of carbon emissions can be heterogeneous depending on national and regional differences. For example, some scholars found that the increase of carbon emissions in Brazil is mainly due to the increase of personal living standards, exports and population size (Lundquist, 2021). The YRB has its own special characteristics, and in this context, it is important to investigate the individual drivers of carbon emissions in the YRB.…”

Section: Decomposition Of Carbon Emission Driving Factorsmentioning

confidence: 99%

Carbon emissions and economic growth in the Yellow River Basin: Decoupling and driving factors

Han

Zhang

Yuan

2022

Front. Environ. Sci.

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In the context of global countries’ pursuit of sustainable development and “dual carbon” goals of China, this paper combines the Tapio decoupling model, Kaya’s equation and LMDI decomposition method to analyze the relationship between carbon emissions and economic growth and the driving factors of carbon emissions in the Yellow River Basin (YRB) of China from 2001 to 2019. It is found that the decoupling state of CO2 and economic growth in the Yellow River Basin shows a trend of expansion negative decoupling - expansion connection - weak decoupling - strong decoupling, but different regions shows some heterogeneity. The economic intensity effect and population size effect generally play a positive role in driving carbon emissions, while carbon emission intensity, industrial structure and energy structure effect play a negative role in driving carbon emissions in most years. From the regional perspective, the energy consumption structure in the middle reaches is the most important factor to promote carbon emissions. In terms of time period, the industrial structure effect is the driving factor of carbon emissions in the decoupling state overall as expansionary linkage, while it is the inhibitor of carbon emissions in the decoupling state overall as weak decoupling. This study also puts forward countermeasures such as optimize the energy structure and upgrade the industrial structure to achieve green and high-quality economic development in the YRB.

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Explaining events of strong decoupling from CO2 and NOx emissions in the OECD 1994–2016

Cited by 24 publications

References 67 publications

Research on the Decoupling Relationship and Driving Factors of Carbon Emissions in the Construction Industry of the East China Core Economic Zone

Research on the Decoupling Relationship and Driving Factors of Carbon Emissions in the Construction Industry of the East China Core Economic Zone

Decoupling analysis and peak prediction of carbon emission in less developed provinces: A case study of Sichuan province, China

Carbon emissions and economic growth in the Yellow River Basin: Decoupling and driving factors

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