China’s pathways to peak carbon emissions: New insights from various industrial sectors

Fang, Kai; Li, Chenglin; Tang, Yidan; He, Jinling; Song, Junnian

doi:10.1016/j.apenergy.2021.118039

Cited by 135 publications

(40 citation statements)

References 69 publications

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“…In response to the increasingly challenging climate environment, the Chinese government has successively enacted several policies to shoulder its share of responsibility in the developing process (Yang et al, 2022;Ren et al, 2021). China, for example, has made clear that it will contribute more autonomously by aiming for "peak carbon emissions by 2030 and carbon neutrality by 2060" (Hao et al, 2021;Fang et al, 2022;Xin et al, 2022). Nevertheless, as China strives to fulfill its carbon emission reduction goals, the most immediate dilemma is the need to optimize the ecosystem by boosting carbon emission efficiency while guaranteeing stable and healthy economic development (Meng et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Exploring the Impact of the Digital Economy on Carbon Emission Efficiency Under Factor Misallocation Constraints: New Insights From China

Liu

et al. 2022

Front. Environ. Sci.

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The digital economy has introduced far-reaching innovations in the fields of government governance, enterprise production, and social operation. How to motivate the economic development mode towards a low-carbon and greenway transformation through the digital economy is a major issue concerning the Chinese government. However, there is scarce evidence to interpret the role mechanism of the digital economy on carbon emission efficiency from the factor misallocation scenario. Taking a database from 30 provincial-level administrative regions for the period from 2011 to 2019 in China as an example, the paper examines the effect of the digital economy on carbon emission efficiency, as well as explores its role mechanism deeply in terms of factor misallocation (capital misallocation and labor misallocation). The results suggest that there is a significant potential for the digital economy to contribute to carbon emission efficiency, as well as this finding, is valid when considering both the endogeneity issue and a series of robustness checks. Also, the digital economy can significantly contribute to carbon efficiency in both southern and northern regions, but more strongly in the northern region. Besides, the digital economy can inhibit the factor misallocation (labor misallocation and capital misallocation) level which ultimately improves carbon emission efficiency. Finally, as a digital economy, it can positively impact carbon efficiency in the long run by mitigating factor misallocation (labor misallocation and capital misallocation).

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Section: Introductionmentioning

confidence: 99%

Exploring the Impact of the Digital Economy on Carbon Emission Efficiency Under Factor Misallocation Constraints: New Insights From China

Liu

et al. 2022

Front. Environ. Sci.

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“…A study by [9] developed an econometric model and analyzes different pathways of industrial carbon emissions in China through regression analysis and Monte Carlo simulation [9]. Econometric methodology is also used by [10], who built a random effects panel model to study the relationship between climate policy goals and manufacturing industry investment in energy efficiency [10].…”

Section: Literature Review 21 Methods For Analyzing Changes In Co 2 Emissions In the Manufacturing Industrymentioning

confidence: 99%

Key Factors Influencing the Achievement of Climate Neutrality Targets in the Manufacturing Industry: LMDI Decomposition Analysis

Doļģe

Blumberga

2021

Energies

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The manufacturing industry is often caught in the sustainability dilemma between economic growth targets and climate action plans. In this study, a Log-Mean Divisia Index (LMDI) decomposition analysis is applied to investigate how the amount of industrial energy-related CO2 emissions in Latvia has changed in the period from 1995 to 2019. The change in aggregate energy-related CO2 emissions in manufacturing industries is measured by five different factors: the industrial activity effect, structural change effect, energy intensity effect, fuel mix effect, and emission intensity effect. The decomposition analysis results showed that while there has been significant improvement in energy efficiency and decarbonization measures in industry, in recent years, the impact of the improvements has been largely offset by increased industrial activity in energy-intensive sectors such as wood processing and non-metallic mineral production. The results show that energy efficiency measures in industry contribute most to reducing carbon emissions. In the future, additional policies are needed to accelerate the deployment of clean energy and energy efficiency technologies.

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“…Carbon neutrality refers to the total amount of greenhouse gas emissions produced by an enterprise, organization, or individual within a certain amount of time and the realization of a zero-carbon emissions status by offsetting these carbon emissions through forest planting, energy saving, and emission reduction [14,15]. Developed countries and major economies have developed their own targets to curb greenhouse gas emissions and are trying to do their part [16][17][18][19][20]. For example, China, a major emitter of greenhouse gases, has made a commitment to reach its carbon emissions peak by 2030 and to achieve a carbon neutral status by 2060 [21].…”

Section: Introductionmentioning

confidence: 99%

Carbon Peak and Carbon Neutrality in the Building Sector: A Bibliometric Review

Sun

et al. 2022

Buildings

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Due to large energy consumption and carbon emissions (ECCE) in the building sector, there is huge potential for carbon emission reduction, and this will strongly influence peak carbon emissions and carbon neutrality in the future. To get a better sense of the current research situation and future trends and to provide a valuable reference and guidance for subsequent research, this study presents a summary of carbon peak and carbon neutrality (CPCN) in buildings using a bibliometric approach. Three areas are addressed in the review through the analysis of 364 articles published from 1990–2021: (1) Which countries, institutions, and individuals have conducted extensive and in-depth research on CPCN in buildings, and what is the status quo of their collaboration and contributions? (2) What subjects and topics have aroused wide interest and enthusiasm among scholars, and what are their time trajectories? (3) What journals and authors have grabbed the attention of many scholars, and what are the research directions related to them? Moreover, we propose future research directions. Filling these gaps will enrich the research body of CPCN and overcome current limitations by developing more methods and exploring other practical applications.

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China’s pathways to peak carbon emissions: New insights from various industrial sectors

Cited by 135 publications

References 69 publications

Exploring the Impact of the Digital Economy on Carbon Emission Efficiency Under Factor Misallocation Constraints: New Insights From China

Exploring the Impact of the Digital Economy on Carbon Emission Efficiency Under Factor Misallocation Constraints: New Insights From China

Key Factors Influencing the Achievement of Climate Neutrality Targets in the Manufacturing Industry: LMDI Decomposition Analysis

Carbon Peak and Carbon Neutrality in the Building Sector: A Bibliometric Review

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