The impact of China's low-carbon transition on economy, society and energy in 2030 based on CO2 emissions drivers

Shi, Huiting; Chai, Jian; Lu, Quanying; Zheng, Jiantao; Wang, Shouyang

doi:10.1016/j.energy.2021.122336

Cited by 88 publications

(26 citation statements)

References 32 publications

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“…The low-carbon economy is supposed to achieve economic development and eco-environmental protection coordinately through technology, concepts, and industrial structure innovation to reduce carbon emissions [ 40 ]. Carbon emission efficiency, whose basis of manifestation is the low-carbon economy theory, lays stress on output effects triggered by carbon emissions.…”

Section: Methodsmentioning

confidence: 99%

Influence Mechanism of Different Environmental Regulations on Carbon Emission Efficiency

Liu

Gong

et al. 2022

IJERPH

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The rational use of environmental regulation tools has become an important means by which to improve the efficiency of carbon emissions. Different types of environmental regulations and their combinations have different impacts on carbon emission efficiency. In order to determine the environmental regulation configurations that may achieve high carbon emission efficiency or lead to low carbon emission efficiency, we constructed an analytical framework of connections between environmental regulation configurations and carbon emission efficiency. Moreover, 30 Chinese provinces from the period covering 2016 to 2019 were selected as research cases. In addition, the super slacks-based measure of efficiency (SE-SBM) model was applied to evaluate carbon emission efficiency. Finally, the fuzzy-set qualitative comparative analysis (fsQCA) method was employed to analyze the impact of different environmental regulation configurations on carbon emission efficiency. The results showed that the carbon emission efficiency of various regions of China is generally low (with most regions not having reached an effective level) and that there are large regional differences. We found that there are four environmental regulation configurations that can achieve high carbon emission efficiency and two environmental regulation configurations that lead to low carbon emission efficiency. Based on these configurations, we draw three conclusions: (1) There are three paths to achieving high carbon emission efficiency: one that values command-and-control environmental regulation but disfavors market-incentive environmental regulation, another that combines command-and-control environmental regulation with market-incentive environmental regulation, and a third that couples command-and-control environmental regulation with voluntary environmental regulation. (2) Two paths that may lead to low carbon emission efficiency were established: excessive penalties and the lack of specific measures. (3) In some conditions, environmental governance investment and fiscal expenditure could be substituted for each other; environmental protection administrative penalties and pollution charges are synchronized; environmental governance investment in the promotion of carbon emission efficiency is indispensable. Policies and suggestions on how the government can use environmental regulation tools to improve carbon emission efficiency are proposed from a general coordinative perspective in the final section of this paper.

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Section: Methodsmentioning

confidence: 99%

Influence Mechanism of Different Environmental Regulations on Carbon Emission Efficiency

Liu

Gong

et al. 2022

IJERPH

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“…Scholars often use predictive models to simulate land use, with the goal of improving policy effectiveness [15]. Many studies have found that realizing the carbon peak policy will impact land use changes [16][17][18][19]; however, the link between the policy and those changes have not yet been identified. In addition, few studies have effectively included policies in policy-related simulations.…”

Section: Introductionmentioning

confidence: 99%

Integrating IPAT and CLUMondo Models to Assess the Impact of Carbon Peak on Land Use

Wang

Jin

Xingming

et al. 2022

Land

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China’s growth plans include a carbon emission peak policy, which is a restriction that indirectly impacts land use structure. In this study, we simulate different paths for achieving policy objectives, and explore the linkages between those paths and land use change. The IPAT model was used to simulate the carbon emissions generated from a natural development scenario, an ideal policy scenario, and a retributive carbon emission scenario in China from 2020 to 2030. The simulation results were incorporated into the CLUMondo model as a demand driver to simulate the land use change in 2030. The results show that carbon emission peak policy can somewhat reduce carbon emissions and increase building land in a regulated way. However, the policy may also lead to a short-term surge in carbon emissions, a reactive expansion of arable land and building land. This may reduce losses in economic development when carbon emissions are limited, but does not achieve the integration of social, economic, and ecological goals. This study links the carbon emission peak policy with land use change and provides a fresh perspective on the Chinese government’s carbon reduction policy.

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“…Replacing or reducing the usage of fossil fuels with renewable energy is an effective way to reduce carbon emission (Maddalwar et al, 2021;Zhang B. et al, 2021). As one of the largest consumers of fossil energy and carbon emitter globally (Mi et al, 2017;Shi et al, 2022), the Chinese government actively responded to international carbon neutral actions (Nie et al, 2022), and it urgently needs to explore economical and environmentally friendly renewable energy sources to achieve carbon emission reduction targets.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Marginal Land Potential and Analysis of Environmental Variables of Jerusalem Artichoke in Shaanxi Province, China

Zhao

Yin

Ashraf

et al. 2022

Front. Environ. Sci.

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Based on the maximum entropy modeling (Maxent) and ArcGIS tool, this study assessed the potential of marginal land and analyzed the impact of environmental variables for Jerusalem artichoke (Helianthus tuberosus L.) in Shaanxi Province, China. The results showed that the dominant land type used for the growth of Jerusalem artichoke was moderately dense grassland. Additionally, significant environmental variables of Jerusalem artichoke and their suitable range in Shaanxi Province were average slope (SLP, 0–5°C), average soil depth (DPT, 1.50–1.60 m), max temperature of the warmest month (Bio5, 30–31°C), annual mean temperature (Bio1, 16.5–18.0°C), precipitation of the wettest quarter (Bio16, 0.01–0.02 m), July solar radiation (SR7, 1.66–1.67 × 107 W/m2), precipitation seasonality (Bio15, 50–60%), precipitation of the driest quarter (Bio17, 0–0.005 m), and isothermality (Bio3, 265–275). Furthermore, the suitable area was mainly distributed in southern (mainly Hanzhong, Ankang, and Shangluo) and northern (mainly Yan’an and Yulin) parts of Shaanxi Province, covering around 8.81 × 1010 m2 and accounting for 42.8% of the total area of the Shaanxi Province. This study can provide a reference for the rational planting of Jerusalem artichoke in Shaanxi Province.

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The impact of China's low-carbon transition on economy, society and energy in 2030 based on CO2 emissions drivers

Cited by 88 publications

References 32 publications

Influence Mechanism of Different Environmental Regulations on Carbon Emission Efficiency

Influence Mechanism of Different Environmental Regulations on Carbon Emission Efficiency

Integrating IPAT and CLUMondo Models to Assess the Impact of Carbon Peak on Land Use

Evaluation of Marginal Land Potential and Analysis of Environmental Variables of Jerusalem Artichoke in Shaanxi Province, China

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