The evolution of inter-sectoral linkages in China's energy-related CO2 emissions from 1997 to 2012

Yuan, Rong; Behrens, Paul; Rodrigues, João F.D.

doi:10.1016/j.eneco.2017.11.022

Cited by 48 publications

(14 citation statements)

References 39 publications

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“…It was estimated by Wang et al (2017) that ~45% of the environmental damage in 2007 in China was driven by the interprovincial trade. Moreover, the emissions embodied in interprovincial trade usually flow from developing to developed regions, making developed regions become net importers and developing regions become net exporters (Su and Ang, 2014;Wang et al, 2018;Yang et al, 2018b;Yuan et al, 2018a).…”

Section: Introductionmentioning

confidence: 99%

Environmental responsibility for sulfur dioxide emissions and associated biodiversity loss across Chinese provinces

Qian

Behrens

Tukker

et al. 2019

Environmental Pollution

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Recent years have witnessed a growing volume in Chinese interregional trade, along with the increasing disparities in environmental pressures. This has prompted an increased attention on where the responsibilities for environmental impacts should be placed. In this paper, we quantify the environmental responsibility of SO 2 emissions and biodiversity impacts due to terrestrial acidification at the provincial level for the first time. We examine the environmental responsibility from the perspectives of production, consumption, and income generation by employing a Multi-Regional Input-Output (MRIO) model for 2007, 2010, and 2012. The results indicate that ~40% of SO 2 emissions were driven by the consumption in provinces other than where the emissions discharged. In particular, those developed provinces were net importers of SO 2 emissions and mainly outsourced their emissions to nearby developing provinces. Over the period of analysis, environmental inequality among 30 provinces was larger than GDP inequality. Furthermore, environmental inequality continued to increase while GDP inequality decreased over the time period. The results of a shared income-and consumption-based responsibility approach suggest that the environmental responsibility of SO 2 emissions and biodiversity impacts for developed provinces can reach up to ~4-to 93-fold the environmental pressure occurred within those provinces. This indicates that under these accounting principles the developed northern provinces in China would bear a much larger share of the environmental responsibility. Capsule: We calculate the shared responsibilities for SO 2 emissions in China and find them to differ significantly from the production-based reduction targets set by governments.

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Section: Introductionmentioning

confidence: 99%

Environmental responsibility for sulfur dioxide emissions and associated biodiversity loss across Chinese provinces

Qian

Behrens

Tukker

et al. 2019

Environmental Pollution

Self Cite

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“…By using the Leontief demand-driven input-output models, a series of studies have been performed to measure consumption-based accounting of GHG emissions at different scales (Feng et al, 2015;Hawkins et al, 2015). An increasing amount of literature has focused on China's CO 2 emissions embodied in final consumption and international trade (e.g., Chen and Zhang, 2010;Feng et al, 2012;Yuan et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Socioeconomic determinants of China's growing CH4 emissions

Chen

Guan

et al. 2018

Journal of Environmental Management

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Reducing CH emissions is a major global challenge, owing to the world-wide rise in emissions and concentration of CH in the atmosphere, especially in the past decade. China has been the greatest contributor to global anthropogenic CH emissions for a long time, but current understanding towards its growing emissions is insufficient. This paper aims to link China's CH emissions during 2005-2012 to their socioeconomic determinants by combining input-output models with structural decomposition analysis from both the consumption and income perspectives. Results show that changes in household consumption and income were the leading drivers of the CH growth in China, while changes in efficiency remained the strongest factor offsetting CH emissions. After 2007, with the global financial crisis and economic stimulus plans, embodied emissions from exports plunged but those from capital formation increased rapidly. The enabled emissions in employee compensation increased steadily over time, whereas emissions induced from firms' net surplus decreased gradually, reflecting the reform on income distribution. In addition, at the sectoral level, consumption and capital formation respectively were the greatest drivers of embodied CH emission changes from agriculture and manufacturing, while employee compensation largely determined the enabled emission changes across all industrial sectors. The growth of CH emissions in China was profoundly affected by the macroeconomic situation and the changes of economic structure. Examining economic drivers of anthropogenic CH emissions can help formulate comprehensive mitigation policies and actions associated with economic production, supply and consumption.

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“…where ce i y i represents the direct carbon emissions caused by the increase in the final demand of sector i, and (c ei l ii + i j ce j l ji − ce i )y i refers to the indirect carbon emissions. Indirect carbon emissions can be further decomposed into internal emissions and overflow emissions [38]. The carbon emissions caused by the total demand of sector i can be broken down into:…”

Section: Direct Input Coefficientmentioning

confidence: 99%

Analysis and Measurement of Carbon Emission Aggregation and Spillover Effects in China: Based on a Sectoral Perspective

Liu

Wei

2020

Sustainability

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Faced with the environmental pressure of global warming, China has achieved certain results in emission reduction, but this needs to be completed more efficiently. Therefore, this article conducts a more comprehensive and in-depth study of China’s carbon emissions from the perspective of the development of national economic sectors and taps the potential for emission reduction in various sectors. Taking into account the adjustment of the national economic sector and the current status of carbon emissions, the study period was from 2003 to 2017. The logarithmic mean Divisia index (LMDI) method was used to measure and analyze the impact of seven factors, including urban construction conditions, on the carbon emissions of various sectors. According to the commonalities and differences of the impacts, 42 sectors were aggregated into four categories. At the same time, the input–output structure decomposition analysis (IO–SDA) model was used to analyze the spillover effects of intersectoral carbon emissions. According to the research results, based on the characteristics of the four types of sectors, and fully considering the spillover effects, the improvement of life cycle management to control energy consumption in the entire supply chain was taken as the leading idea. Moreover, combined with the actual development situation, four types of sectoral carbon emission reduction paths and optimization strategies are proposed to establish a more sustainable demand structure in order to achieve emission reduction.

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The evolution of inter-sectoral linkages in China's energy-related CO2 emissions from 1997 to 2012

Cited by 48 publications

References 39 publications

Environmental responsibility for sulfur dioxide emissions and associated biodiversity loss across Chinese provinces

Environmental responsibility for sulfur dioxide emissions and associated biodiversity loss across Chinese provinces

Socioeconomic determinants of China's growing CH4 emissions

Analysis and Measurement of Carbon Emission Aggregation and Spillover Effects in China: Based on a Sectoral Perspective

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