Drivers for decoupling carbon footprint pressure from economic growth in China’s provinces

Liang, Dongzhe; Lu, Hongxi; Guan, Yanlong; Feng, Liyang

doi:10.1016/j.geosus.2022.08.003

Cited by 13 publications

(11 citation statements)

References 78 publications

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“…In terms of the economic growth efficiency effect on decoupling, efficiency in carbon emissions reduction has marginally increased, consistent with China's strong negative decoupling [35]. Additionally, energy efficiency drove absolute decoupling in 22 provinces between 2006 and 2015 [17]. This has been accelerated by substituting natural gas and oil for coal, lowering industry share, and enhancing carbon sequestration [17].…”

Section: Decoupling For Carbon Neutrality In Chinamentioning

confidence: 85%

“…Additionally, energy efficiency drove absolute decoupling in 22 provinces between 2006 and 2015 [17]. This has been accelerated by substituting natural gas and oil for coal, lowering industry share, and enhancing carbon sequestration [17].…”

Section: Decoupling For Carbon Neutrality In Chinamentioning

confidence: 99%

“…The country has been making progress in decoupling its economic growth from carbon emissions [16]. However, its energy structure, heavily reliant on fossil fuels, requires urgent optimization to mitigate climate risks [17,18]. China's decoupling has been driven by a range of policy interventions, including research and development (R&D), structural change, energy intensity, energy structure, and investment in clean technology [11,17,[19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

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Decoupling for Carbon Neutrality: An Industrial Structure Perspective from Qinghai, China over 1990–2021

Nyangchak

2023

Sustainability

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Carbon neutrality is urgent as rapidly emerging economies aggravate their share of global energy demand. In China, the energy structure is dominated by fossil fuels, but it varies significantly across provinces. As an indicator of carbon neutrality, previous studies of decoupling between carbon dioxide emissions and economic growth focused at the national and sector levels in China. However, they overlook the role of industrial structure in decoupling at the provincial level. In this light, the following paper focuses on Qinghai Province, analyzing decoupling and its influencing factors for achieving carbon neutrality from an industrial structure perspective over 1990–2021. It uses the Tapio decoupling model to evaluate decoupling states and the Logarithmic Mean Divisia Index decomposition to evaluate the influencing factors. A Data Envelopment Analysis model of super-efficiency Slacks-Based Measure is used to evaluate the decarbonization efficiency. The study finds that the overall trend shifted from weak to strong decoupling. Strong decoupling dominated the primary industry while weak decoupling dominated the secondary and tertiary industries. Economic growth negatively impacted overall decoupling, while population had a marginal effect. Energy structure and intensity generally promoted decoupling. Additionally, the overall mean efficiency of decarbonization was 0.95, led by the tertiary industry. The paper concludes by discussing policy implications.

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Section: Decoupling For Carbon Neutrality In Chinamentioning

confidence: 85%

Section: Decoupling For Carbon Neutrality In Chinamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Decoupling for Carbon Neutrality: An Industrial Structure Perspective from Qinghai, China over 1990–2021

Nyangchak

2023

Sustainability

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“…Decoupling is used to describe whether the interdependence between variables lasts (Han et al 2020 ). The low-carbon development mode is to achieve a negative growth of carbon emissions while maintaining positive economic growth, meaning that the nexus between carbon emissions and economic growth keeps thinning until it eventually vanishes (Chen and Yan 2022 ; Liang et al 2022 ; Liu et al 2022 ). In other words, economic development and carbon emissions are decoupled.…”

Section: Methodology and Datamentioning

confidence: 99%

Emission accounting and drivers in Central Asian countries

Zhao,

Liu,

Wang

et al. 2023

Environ Sci Pollut Res

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Emerging countries are at the frontier of climate change actions, and carbon emissions accounting provides a quantifiable measure of the environmental impact of economic activities, which allows for comparisons of emissions across different entities. However, currently there is no study covering detailed emissions inventories for emerging countries in Central Asian. This paper compiles detailed and accurate carbon emissions inventories in several Central Asian countries (i.e., Kazakhstan, Kyrgyzstan, Pakistan, Palestine, Tajikistan, and Uzbekistan) during the period 2010–2020. Using the IPCC administrative territorial approach, we for the first time compile their emissions inventories in 47 economic sectors and five energy categories. Moreover, we also investigate decoupling status based on Tapio decoupling model and examine emissions driving factors based on the index decomposition analysis method. The primary results illustrate that carbon emissions in Central Asian countries are increasing with huge differences. Decoupling results highlight that most of the sample countries still need more effort to decouple the economy and emissions except that Pakistan achieves an ideal strong decoupling state. The results of the decomposition indicate that the economy and population both raise emissions, while energy intensity and carbon intensity are negative drivers in some countries. We propose practical policy implications for decarbonization and energy transition roadmap in Central Asian countries.

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“…29 We select social development and energy emission reduction variables as factors affecting carbon emissions. The main factors affecting carbon emission in the Sichuan province are population, 43 industrial structures, and energy consumption structure. 44 Please refer to Table 1 for the description of the variables.…”

Section: Predictive Modelmentioning

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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Drivers for decoupling carbon footprint pressure from economic growth in China’s provinces

Cited by 13 publications

References 78 publications

Decoupling for Carbon Neutrality: An Industrial Structure Perspective from Qinghai, China over 1990–2021

Decoupling for Carbon Neutrality: An Industrial Structure Perspective from Qinghai, China over 1990–2021

Emission accounting and drivers in Central Asian countries

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

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