Rethinking on regional CO2 allocation in China: A consideration of the carbon sink

Yang, Mian; Hou, Yaru; Wang, Qiaojiayu

doi:10.1016/j.eiar.2022.106822

Cited by 21 publications

(3 citation statements)

References 48 publications

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“…Our findings support the existing research that emphasizes the need for regions with net carbon emission inputs to assume greater responsibility for reducing carbon emissions [44,45]. The economic disparities among provinces, as evidenced by the decreasing trade volume from east to west and from south to north, reflect the imbalanced distribution of carbon emissions.…”

Section: Distinct Roles Of Different Regions In the Domestic Carbon E...supporting

confidence: 85%

Analysis of Carbon Emissions Embodied in the Provincial Trade of China Based on an Input–Output Model and k-Means Algorithm

Liu

Liang

et al. 2023

Sustainability

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National or regional carbon emissions are generally accounted for by the principle of “producer responsibility”, which ignores the embodied carbon emissions implied in product consumption via inter-regional trade. Therefore, it is necessary to include the embodied carbon emissions into the product consumption regions for overall calculation. As an example, this paper analyzes the characteristics of China’s domestic regional carbon flow network based on a multiregional input–output table and carbon emission data, identifying three clusters of carbon emission characteristic regions by k-means—the clustering algorithm of machine learning. The research results show that some provinces—such as Beijing, Zhejiang, and Guangdong—are the net input areas of embodied carbon emissions (“consumers”), consuming products and services produced by “producers” such as Hebei, Shanxi, and Inner Mongolia through trade, implicitly transferring the responsibility for carbon emissions. Accounting for carbon emissions worldwide/countrywide should consider both production responsibility and trade income. Our findings provide a novel national or regional classification approach based on embodied carbon emissions, which calls for an equitable regional distribution system of carbon emission rights. Meantime, inter-regional cooperation is of great significance in achieving carbon neutrality. In particular, the economically developed regions need to offer assistance to improve the energy efficiency or optimize the energy structure in less developed regions, by means of capital investment and technology transformation.

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Section: Distinct Roles Of Different Regions In the Domestic Carbon E...supporting

confidence: 85%

Analysis of Carbon Emissions Embodied in the Provincial Trade of China Based on an Input–Output Model and k-Means Algorithm

Liu

Liang

et al. 2023

Sustainability

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“…Southwest China is the largest carbon sink region in the country (Du et al,2022;Piao et al, 2009). Therefore, it should receive more CO2 quotas (Yang et al, 2022). The Southwest is a major contributor to China's carbon neutrality goal and plays an overall important role.…”

Section: Research Sitementioning

confidence: 99%

Carbon Neutrality Goal Is Too Far Away? Residents' Psychological Distance of Low-Carbon Policy Over Time and Space in China

Liu¹,

Sun²

2023

GLCE

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Residents' psychological time and space distance from the low-carbon policy can affect their support for the policy. The objective of this study is to investigate the psychological spatiotemporal distance of Chinese residents toward low-carbon policies and its influencing factors. Structural equation modeling was used in this study. Based on the data from the questionnaire survey, we found that most of the interviewed residents had a psychological time distance of 21–30 years for low-carbon policies, while the spatial distance was in the "global" range. Therefore, the goal of achieving carbon neutrality by 2060 exceeds the psychological time distance of the interviewed residents. The results of the structural equation model showed that residents' psychological time distance toward low-carbon policies is significantly and positively correlated with policy effects, policy costs, and residents' low-carbon values and attitudes. Residents' psychological spatial distance to low-carbon policies was significantly and positively correlated with the effects of low-carbon policies and residents' low-carbon values and attitudes.

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“…General Secretary Xi made the “Dual carbon” target explicit for the first time during the United Nations General Assembly’s 75th session. The majority of past studies on CO 2 emissions have concentrated on carbon sources rather than the function of carbon sinks [ 5 ]. To continuously advance the reduction of greenhouse gas emissions, we must balance the two factors in the emission reduction process and not just concentrate on “carbon sources” but also on “carbon sinks.” Global terrestrial ecosystems absorb 31% of anthropogenic CO 2 emissions between 2010 and 2019 [ 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Variation and Prediction of Ecosystem Carbon Stocks in Yunnan Province Based on Land Use Change

Luo

2022

IJERPH

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The function of ecosystems as carbon sinks has emerged as a key strategy for advancing the concept of “carbon neutrality” and “carbon peaking”. Ecosystem carbon stocks are impacted by land use changes that alter ecosystem structure and function. We evaluated the ecosystem carbon stocks of Yunnan Province in different periods with the aid of the carbon stock module of the InVEST model, analyzed the relationship between land use type shift and ecosystem carbon stock changes, and combine them with the CA-Markov model to predict land use types in 2030. The results showed that between 1990 and 2020, changes in land use primarily affected cropland, grassland, and forested areas. The ecosystem’s average carbon stock from 1990 to 2020 was 8278.97 × 106 t. The carbon stocks of cropland, grassland, and unused land decreased by 31.36 × 106 t, 32.18 × 106 t, and 4.18 × 106 t during 1990–2020, respectively, while the carbon stocks of forest land, water area, and construction land increased by 24.31 × 106 t, 7.34 × 106 t, and 22.08 × 106 t. The main cause of the increase in carbon stocks in the ecosystem in Yunnan Province throughout the process of land use type shift was the development of forest land area, whereas the main cause of the decline was the shrinkage of cropland and grassland areas.

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Rethinking on regional CO2 allocation in China: A consideration of the carbon sink

Cited by 21 publications

References 48 publications

Analysis of Carbon Emissions Embodied in the Provincial Trade of China Based on an Input–Output Model and k-Means Algorithm

Analysis of Carbon Emissions Embodied in the Provincial Trade of China Based on an Input–Output Model and k-Means Algorithm

Carbon Neutrality Goal Is Too Far Away? Residents' Psychological Distance of Low-Carbon Policy Over Time and Space in China

Spatial and Temporal Variation and Prediction of Ecosystem Carbon Stocks in Yunnan Province Based on Land Use Change

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