Carbon emission reduction characteristics for China's manufacturing firms: Implications for formulating carbon policies

An, Yunfei; Zhou, Dequn; Yu, Jiang Tsu; Shi, Xunpeng; Wang, Qunwei

doi:10.1016/j.jenvman.2021.112055

Cited by 92 publications

(38 citation statements)

References 42 publications

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“…Inclusive green growth is the green growth capacity of the economy (Sun et al, 2020). The nonparametric DEA method has been extensively applied to measure energy efficiency, environmental performance, carbon emissions, and the green economy (An et al, 2021; Jia, Fan, et al, 2021; Lee et al, 2021; Pan et al, 2019). Song et al (2020) studied green growth among China's regions by combining DEA and the GML index.…”

Section: Model and Datamentioning

confidence: 99%

The emerging driving force of inclusive green growth: Does digital economy agglomeration work?

et al. 2022

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Inclusive green growth, which considers green growth, inclusive growth and growth, is a sustainable development model that aims to pursue the comprehensive and harmonious growth of humans, the economy, society, and the environment. Against the backdrop of the pandemic as well as sluggish economic development, the global economy is endowed with a driving mission that may affect inclusive green growth. This research primarily discusses the influence of digital economy agglomeration on inclusive green growth and its transmission mechanism in China. Specifically, the slacks-based measure of directional distance functions (SBM-DDF) model was integrated with the global Malmquist-Luenberger index (GML) to calculate inclusive green growth at the city level for 282 cities in China during 2004-2019. A measurement system for the digital economy level was constructed, and the degree of digital economy agglomeration in each region was further measured through geographic concentration. Based on these analyses, this research points out that digital economy agglomeration exerts a positive influence on inclusive green growth. The transmission mechanism analysis indicates that inclusive green growth is influenced by digital economy agglomeration through energy consumption, environmental pollution, economic growth, human capital, industrial structure, and technological progress. Moreover, taking the "Broadband China" pilot policy as the starting point, a spatial difference-in-differences (SDID) model was used to analyze the policy effect. The results suggest that the "Broadband China" policy is conducive to enhancing local inclusive green growth, while it inhibits inclusive green growth in neighboring cities.

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Section: Model and Datamentioning

confidence: 99%

The emerging driving force of inclusive green growth: Does digital economy agglomeration work?

et al. 2022

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“…From the perspective of economic theory, PI policy can not only achieve emission reduction targets at a lower economic cost but also incentivise target subjects to adopt more advanced technologies (Porter and Linde, 1995), and improve overall economic efficiency, in the so-called "double dividend" (Pearce, 1991). Overall, existing research generally indicates that PI policy tools such as carbon taxes, resource taxes, emissions trading schemes, and marginal abatement costs can effectively reduce emissions (Andersson, 2019;Lin and Jia., 2019;Dorsey-Palmateer and Niu, 2020;Liu et al, 2020;An et al, 2021;Xian et al, 2022). The focus of the debate is on which price incentive tool has the lowest cost and/or best emission reduction effect (Strand, 2013;Wang and Qi, 2016;Barragán-Beaud et al, 2018;Hu et al, 2021).…”

Section: Pi Policy and Its Effectsmentioning

confidence: 99%

“…Achieving carbon emission reduction targets requires relevant policy tools. To sum up, the existing literature focuses on traditional command-and-control (CAC) policies such as air and water environmental quality standards, pollutant discharge standards, and sustainable development goals (Greenstone and Hanna, 2014;Harrison et al, 2015;Singhal, 2018;Yu et al, 2021), as well as price incentive (PI) policies 2 such as carbon taxes, resource taxes, emission trading schemes, and marginal abatement costs (Pearce, 1991;Wang and Qi, 2016;Jia and Lin, 2020;An et al, 2021;Xian et al, 2022). However, a new type of policy tool, which is different from CAC policy and PI policy but popularly used in China, so-called "appraisal and commendation" (AAC) policy, have not yet received effective attention.…”

Section: Introductionmentioning

confidence: 99%

Appraisal-and-commendation policy and carbon emissions: Evidence from the national civilised city program in China

Huang

Zhao²,

Huang³

2022

Front. Energy Res.

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Based on the theory of “Non-Economic Promotion Championship,” this paper takes Appraisal-And-Commendation (AAC) policy of National Civilised City (NCC) program in China as the research object, and analyses the influence and mechanism of the NCC on carbon emissions from the perspective of energy demand. We find that NCC reduces carbon emissions significantly, and this reduction effect continues to expand over time. Furthermore, the NCC reduces carbon emissions through two mechanisms: First, the NCC reduces carbon emissions by slowing urbanisation. This mechanism mainly functions in big cities, megacities, and super cities, and does not function in small and medium cities. Second, the NCC reduces carbon emissions by promoting industrial restructuring from secondary industry to tertiary industry. This carbon reduction effect is a pure structural adjustment effect, regardless of any effects on technological level and productivity. Moreover, there are regional differences in the reduction of carbon emissions by NCC through industrial restructuring in two dimensions: In the first dimension, compared with the western region and the northeast region, the eastern and central regions are more able and willing to reduce carbon emissions through industrial restructuring. In the second dimension, compared with the northern region, the southern region is more likely to reduce carbon emissions through industrial restructuring.

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“…Wang et al [8] proposes a new total factor energy-efficiency indicator, based on the directional meta-frontier data envelopment analysis (DEA) approach, to account for the heterogeneity of production technology among provinces in China. 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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Carbon emission reduction characteristics for China's manufacturing firms: Implications for formulating carbon policies

Cited by 92 publications

References 42 publications

The emerging driving force of inclusive green growth: Does digital economy agglomeration work?

The emerging driving force of inclusive green growth: Does digital economy agglomeration work?

Appraisal-and-commendation policy and carbon emissions: Evidence from the national civilised city program in China

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

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