Influencing factors and decoupling analysis of carbon emissions in China’s manufacturing industry

Jin, Baoling; Han, Ying

doi:10.1007/s11356-021-15548-0

Cited by 63 publications

(34 citation statements)

References 67 publications

(31 reference statements)

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“…In terms of the structure factor IS, the driving directions of various industries of the industrial structure (IS) were inconsistent, and different stages showed inconsistent effects. This corroborated with the research of Jin and Han ( 2021 ). When the value was positive, it indicated that changes in the industrial structure are not conducive to the reduction of the industries’ CEP.…”

Section: Resultssupporting

confidence: 92%

“…In recent years, researchers conducted more in-depth discussions on the driving factors of industrial carbon emissions. Among them, energy consumption intensity was the main indicator for reducing carbon emissions (Jin and Han 2021 ), and the expansion of industrial scale was the leading force driving the increase in carbon emissions (Du et al 2018 ), and it was most significant in the power industry. Udemba et al ( 2020 ) found positive correlations between carbon emissions and energy consumption, foreign direct investment, and population in addition to economic growth.…”

Section: Literature Reviewmentioning

confidence: 99%

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Analysis on the dynamic evolution of the equilibrium point of “carbon emission penetration” for energy-intensive industries in China: based on a factor-driven perspective

Liu

Wei

2022

Environ Sci Pollut Res

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In order to achieve the carbon peaking and carbon neutrality goals, energy-intensive industries in China, as the main sectors of energy consumption and carbon emissions, had huge pressure to reduce emissions. In addition, the reduction of vegetation area led to a decline in carbon sink capacity, which further exacerbated the imbalance of mutual penetration between carbon source and carbon sink. Therefore, this article considered the role of carbon source and carbon sink and defined and calculated the “carbon emission penetration” (CEP) of the six energy-intensive industries from 2001 to 2020. The KAYA formula and the LMDI method were used to decompose the driving factors of CEP in the three aspects of scale, intensity, and structure. The combined model of STIRPAT and the environmental Kuznets curve (EKC) was used to simulate and analyze the equilibrium points of energy-intensive industries in China from the perspective of factor driving. The analysis results indicated that there were differences in the fluctuation trend of CEP in the six energy-intensive industries, which can be divided into three types: “two-stage growth,” “steady growth,” and “single peak.” Secondly, the driving factors from the three aspects of scale, intensity, and structure—emission intensity (CE), energy consumption intensity (EI), industrial structure (IS), economic scale (GP), and carbon sequestration scale (PCA)—had differences in industry and time dimensions. And the realization time of the CEP equilibrium points of six industries showed a three-level gradient feature significantly. This can provide some reference for the low-carbon transformation of six energy-intensive industries and optimization of China’s environmental management under the carbon peaking and carbon neutrality goals. Graphical abstract

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Section: Resultssupporting

confidence: 92%

Section: Literature Reviewmentioning

confidence: 99%

Analysis on the dynamic evolution of the equilibrium point of “carbon emission penetration” for energy-intensive industries in China: based on a factor-driven perspective

Liu

Wei

2022

Environ Sci Pollut Res

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“…In 2020, the total scale of China's digital economy reached CNY 39.2 trillion, accounting for 38.6% of GDP, with a growth rate of 8.2%, ranking second in the world [3]. From the perspective of digital industrialization infrastructure, it mainly includes 5G, integrated circuits, artificial intelligence, big data, cloud computing, blockchain, and other electronic information industries and the Internet, providing technical products and services for the digital economy.…”

Section: Measurement Of Digital Industry Level In Chinamentioning

confidence: 99%

“…As a major manufacturing country, China's manufacturing global value chain division status has also changed, facing opportunities and challenges. Therefore, accelerating the development of the digital economy is of great significance in enhancing the division of labor status of China's manufacturing global value chains (GVCs) [3].…”

Section: Introductionmentioning

confidence: 99%

Research on China’s Manufacturing Industry Moving towards the Middle and High-End of the GVC Driven by Digital Economy

Zhou

Tang

et al. 2022

Sustainability

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A country’s manufacturing industry is often an important route for national prosperity, but it is also a conduit by which a digital economy may become truly useful. This is so the deep integration of the digital economy and manufacturing industry can enhance independent innovation efficiencies, promote the development of advanced manufacturing clusters, and constantly spawn new models, forms of business, and industries. Consequently, it is crucial to improve China’s global manufacturing value chain. This article starts with an analysis of the development status and competitiveness of the digital economy in China and abroad. It establishes a structural equation and uses the latest data from the World Input-Output and Asian Development Bank databases. It introduces new variables, such as digitization, research and development (R&D) investment, and industrial scale to empirically analyze China’s manufacturing industry’s global value chain (GVC). The results show that the digitization of China’s manufacturing industry can increase the forward participation of GVC in the manufacturing industry to improve the division status of GVCs. Analyses suggest that due to insufficient R&D investment in the division of labor in the GVCs, China’s manufacturing industry is prone to low-end lock-in, inefficient industrial structures, and weak innovation ability. Consequently, the following suggestions are proposed: China’s manufacturing industry needs to accelerate digital transformation, increase R&D investment, actively participate in the division of labor in the GVCs, and enhance core competitiveness.

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“…An et al [9] constructed a DEA and grid search (DEA-GS) model from a cost perspective to understand emission-reduction characteristics and found that the carbon price for China's manufacturing industry should not exceed 200 RMB/t. Jin and Han [10] conducted a decoupling analysis of carbon emissions and industrial value-added to investigate the state of the manufacturing industry under "low carbon" and "economy" pressures.…”

Section: Introductionmentioning

confidence: 99%

Extended Carbon Emission Pinch Analysis for the Low-Carbon Tobacco Industry

et al. 2022

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The tobacco industry is an important contributor to realizing the carbon reduction goal. Less attention is paid to the carbon emissions of the tobacco industry. The tobacco production system is generally a carbon sink, where carbon sequestration by photosynthesis in tobacco planting and by soil are sufficient to offset the carbon emissions of the tobacco production system. This work proposed an integrated framework of life-cycle assessment (LCA) and Source-Sink Model to determine the optimal allocation of carbon sources to sinks with the objective of maximizing the profitable external benefits. From an economic perspective, internal carbon sources could be offset by the internal carbon sink of the tobacco production system. The additional internal carbon sinks can be transferred in the form of carbon trading, increasing external revenue. A case-study tobacco manufacturing plant in Sichuan, China, was chosen to demonstrate the feasibility of the proposed work. This study assesses the carbon footprint and economic benefits of a tobacco industry supply chain case (from tobacco cultivation to finished product) and analyzes the energy restructuring of different percentages of renewable energy to replace thermal power. The objective of the study is to maximise the offsetting of carbon emissions from the tobacco production system, while achieving optimal internal costs and profitable external benefits.

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Influencing factors and decoupling analysis of carbon emissions in China’s manufacturing industry

Cited by 63 publications

References 67 publications

Analysis on the dynamic evolution of the equilibrium point of “carbon emission penetration” for energy-intensive industries in China: based on a factor-driven perspective

Analysis on the dynamic evolution of the equilibrium point of “carbon emission penetration” for energy-intensive industries in China: based on a factor-driven perspective

Research on China’s Manufacturing Industry Moving towards the Middle and High-End of the GVC Driven by Digital Economy

Extended Carbon Emission Pinch Analysis for the Low-Carbon Tobacco Industry

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