Carbon network embodied in international trade: Global structural evolution and its policy implications

Li, Y.L.; Chen, B.; Chen, G.Q.

doi:10.1016/j.enpol.2020.111316

Cited by 83 publications

(26 citation statements)

References 101 publications

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“…In light of the growing importance of climate change, many studies have investigated the carbon content of global trade (Atkinson et al 2011 ; Chen and Chen 2011 ; Davis and Caldeira 2010 ; Davis et al 2011 ; Hertwich and Peters 2009 ; Peters and Hertwich 2008 ; Peters et al 2011 ; Wiebe et al 2012 ; Jiborn et al 2018 ; Li et al 2020a ). These papers typically provide descriptive discussions (cf.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Carbon embodied in trade has increased dramatically over the last decades (see, e.g., IPCC 2014 , chapter 5.4, Duarte et al 2018 , Li et al 2020a , Yamano and Guilhoto 2020 ). Understanding the role of trade is therefore crucial to design effective international climate policies and avoid distortions in firms’ and countries’ incentives (Jakob and Marschinski 2013 ; Kander et al 2015 ; Anouliès 2016 ; De Melo and Mathys 2010 ).…”

Section: Introductionmentioning

confidence: 99%

“…This evolution mirrors the growth in the traded portion of global GDP over the same period. The declines observed during 1995–1997, 2000–2002, and (especially) 2008–2009 indicate that carbon flows are sensitive to global economic downturns (see Li et al 2020a ), but the long-run upward trend is expected to continue. Figure 1 additionally displays the development of emission intensities over time, for worldwide consumption and worldwide exports, respectively.…”

Section: Introductionmentioning

confidence: 99%

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CO2 embodied in trade: trends and fossil fuel drivers

Weber

Gerlagh

Mathys

et al. 2021

Environ Sci Pollut Res

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The amount of CO2 embodied in trade has substantially increased over the last decades. We contribute to understanding the reasons for this evolution by studying the trends and some drivers of the carbon intensity of trade over the period 1995–2009 in 41 countries and 35 sectors. Our empirical analysis relies on the World Input-Output Database (WIOD) to compute embodied carbon emissions. Our main findings are the following. First, average emission intensity of traded goods is higher than average emission intensity of final demand. Second, relatively “dirty” countries tend to specialize in emission-intensive sectors. Third, the share of goods produced in emission-intensive countries is rising. Finally, we find that coal abundance (measured as fuel rent and controlling for reverse causality) leads both to a specialization in “dirty” sectors and to an increase in emissions per output when controlling for sector structure, which amounts to a fossil fuel endowment effect. These findings suggest trade liberalization may increase global emissions and therefore highlight the importance of considering trade when designing CO2 reduction strategies.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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CO2 embodied in trade: trends and fossil fuel drivers

Weber

Gerlagh

Mathys

et al. 2021

Environ Sci Pollut Res

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“…In 2009, the "Building and Climate Change" of United Nations Environment Programme (NNEP) reported that global buildings discharge 86 billion tons of CO 2 annually, and by 2030 emissions will increase to 156 million tons. At the regional level, a new tripartite cluster structure has been identified by the three gradually stabilized communities centered on USA, China, and Europe [1]. In the US, the construction industry is the third largest source of greenhouse gas (GHG) emissions [2].…”

Section: Introductionmentioning

confidence: 99%

Estimation Method of Carbon Emissions in the Embodied Phase of Low Carbon Building

Liu

Sun

et al. 2020

Advances in Civil Engineering

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The carbon emission at the embodied phase is a complex combination, extending the life cycle of the building, defining the process of the embodied phase scientifically and finding out the direct and indirect carbon emission sources in the embodied phase. Building materials have the characteristics of “low carbon surface, hidden high carbon.” Emission factor calculation method is used to establish carbon emission model for building materials. Considering the effect of design optimization on the carbon emissions of the whole life cycle of the building, a low carbon level system is set up to optimize the target of low carbon design. In the construction phase, the carbon emission sources, emission boundary, and calculation model are determined according to the subdivisional engineering division method. Through a series of process decomposition, the total amount of carbon emissions at the embodied phase can be obtained, and the carbon emission quota list at the embodied phase can be compiled to provide technical support for the carbon trading mechanism of the building.

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“…Duan et al [27] Embodied energy in final consumption of 121 countries The total energy consumption conditions across different countries throughout the world became more and more equal from 2000 to 2013. 6 Li et al [28] Embodied carbon in international trade…”

mentioning

confidence: 99%

How to Effectively Control Energy Consumption Growth in China’s 29 Provinces: A Paradigm of Multi-Regional Analysis Based on EAALMDI Method

et al. 2021

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Controlling energy consumption to reduce greenhouse gas emissions has become a global consensus in response to the challenge of climate change. Most studies have focused on energy consumption control in a single region; however, high-resolution analysis of energy consumption and personalized energy policy-making, for multiple regions with differentiated development, have become a complicated challenge. Using the logarithmic mean Divisia index I (LMDI) decomposition method based on energy allocation analysis (EAA), this paper aims to establish a standard paradigm for a high-resolution analysis of multi-regional energy consumption and provide suggestions for energy policy-making, taking 29 provinces of China as the sample. The process involved three steps: (1) determination of regional priorities of energy consumption control by EAA, (2) revealing regional disparity among the driving forces of energy consumption growth by LMDI, and (3) deriving policy implications by comparing the obtained results with existing policies. The results indicated that 29 provinces can be divided into four groups, with different priorities of energy consumption control according to the patterns of coal flows. Most provinces have increasing levels of energy consumption, driven by increasing per capita GDP and improving living standards, while its growth is restrained by decreasing end-use energy intensity, improving energy supply efficiency, and optimization of industrial structures. However, some provinces are not following these trends to the same degree. This indicates that policy-makers must pay more attention to the different driving mechanisms of energy consumption growth among provinces.

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Carbon network embodied in international trade: Global structural evolution and its policy implications

Cited by 83 publications

References 101 publications

CO2 embodied in trade: trends and fossil fuel drivers

CO2 embodied in trade: trends and fossil fuel drivers

Estimation Method of Carbon Emissions in the Embodied Phase of Low Carbon Building

How to Effectively Control Energy Consumption Growth in China’s 29 Provinces: A Paradigm of Multi-Regional Analysis Based on EAALMDI Method

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