Is electricity consumption of Chinese counties decoupled from carbon emissions? A study based on Tapio decoupling index

Liu, Fengqi; Kang, Yuxin; Guo, Kun

doi:10.1016/j.energy.2022.123879

Cited by 36 publications

(11 citation statements)

References 64 publications

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“…The decoupling model finds applications in various domains such as resources, environment, transportation, construction, and the economy. 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].…”

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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“…In the formula,𝐼 𝐸𝑆 ,𝐼 𝐸𝐼 ,𝐼 𝑆𝐼 ,𝐼 𝐺 ,𝐼 𝑃𝐴 ,and 𝐼 𝑈𝑆 are the six sub-indices of 𝐼 t , representing the decoupling elasticity coefficients for energy structure, energy intensity, industrial structure, economic factors, population density, and urban scale [6].…”

Section: Analysis Of Factors Affecting Decoupling Relationshipmentioning

confidence: 99%

Exploring the Carbon Footprint of Energy Consumption in Shanxi Province Based on the Tapio Decoupling and Grey BP Neural Network Model

Guo,

Wang,

Song

2024

HSET

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This paper focuses on analyzing the carbon footprint of energy consumption in Shanxi Province, China. It utilizes data from sources such as the 'China Energy Statistical Yearbook' (2001-2022), the China Carbon Accounting Database, and the 'Shanxi Statistical Yearbook' for an exploratory analysis of energy consumption and the province's economy. The study calculates the carbon footprint of energy consumption in Shanxi Province and employs the LMDI model to identify influencing factors. Additionally, it uses the Tapio decoupling model to assess the relationship between these factors and economic development. To forecast the carbon footprint from 2022 to 2026, a grey BP neural network prediction model is applied, demonstrating improved accuracy compared to BP and grey models, with MAE and RMSE values of 2.44 and 10.91.

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“…One is an empirical test study using only the decoupling model. Liu et al (2022) used the Tapio decoupling index to study the relationship between electricity consumption and carbon dioxide emissions in more than 600 counties in China. Zhang, Li, Su, et al (2020) (2018) used Tapio decoupling analysis method under the framework of Kaya identity to analyze the decoupling state of carbon dioxide emission intensity, energy consumption structure, energy intensity, per capita GDP and population size from fossil energy.…”

Section: Thementioning

confidence: 99%

“…One is an empirical test study using only the decoupling model. Liu et al (2022) used the Tapio decoupling index to study the relationship between electricity consumption and carbon dioxide emissions in more than 600 counties in China. Zhang, Li, Su, et al (2020) combined the Tapio index with economic development indicators to establish a two‐dimensional decoupling model of economic growth and energy footprint.…”

Section: Literature Reviewmentioning

confidence: 99%

The impact of globalization on the decoupling of water consumption and economic growth in BRICS and N11 countries—Linear and nonlinear approaches

Wang,

2023

Sustainable Development

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In the context of globalization, the 2030 sustainable development goals pose a huge challenge to the coordinated development of economy and environment in emerging economies. The purpose of this article is to investigate whether globalization contributes to balance water consumption and economic growth in emerging economies. China is the largest developing country and the largest trader of goods in the world. From holistic and representative perspectives, this article analyzes the mechanisms affecting economic growth and water consumption in BRICS countries, Next Eleven (N11) countries and China. Combining decoupling model and econometric models, fully modified ordinary least squares (FMOLS) linear model and threshold panel nonlinear model are constructed. Both linear and nonlinear effects of trade and foreign investment on economic growth and water consumption are considered. The results show that, from a holistic perspective, globalization helps balance economic growth and water consumption in emerging economies. The impact of trade on water consumption in BRICS countries is negative. And with the increase of trade, its positive coefficient on water consumption in N11 countries gradually decreases. Foreign direct investment (FDI) plays a positive role in the coordinated development of economic growth and water environment in BRICS and N11 countries. Taking China as a representative country, there is a decoupling phenomenon between economic growth and water use during the study period. With the trade crossing the threshold successively, the promoting effect on economy increases first and then decreases, and the inhibiting effect on water consumption weakens. With the increase of foreign investment, its positive effect on GDP increases, and its positive coefficient on water consumption decreases. The conclusions from representative country and holistic perspective are consistent. Finally, some policy recommendations are put forward.

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Is electricity consumption of Chinese counties decoupled from carbon emissions? A study based on Tapio decoupling index

Cited by 36 publications

References 64 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

Exploring the Carbon Footprint of Energy Consumption in Shanxi Province Based on the Tapio Decoupling and Grey BP Neural Network Model

The impact of globalization on the decoupling of water consumption and economic growth in BRICS and N11 countries—Linear and nonlinear approaches

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