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Open AccessJournal ArticleDOI

City-level climate change mitigation in China

TLDR
New, city-level estimates of CO2 emissions for 182 Chinese cities are presented and sector-based analysis of each city suggests that technological improvements could be a practical and effective means of reducing emissions while maintaining growth and the current economic structure and energy system.
Abstract
As national efforts to reduce CO2 emissions intensify, policy-makers need increasingly specific, subnational information about the sources of CO2 and the potential reductions and economic implications of different possible policies. This is particularly true in China, a large and economically diverse country that has rapidly industrialized and urbanized and that has pledged under the Paris Agreement that its emissions will peak by 2030. We present new, city-level estimates of CO2 emissions for 182 Chinese cities, decomposed into 17 different fossil fuels, 46 socioeconomic sectors, and 7 industrial processes. We find that more affluent cities have systematically lower emissions per unit of gross domestic product (GDP), supported by imports from less affluent, industrial cities located nearby. In turn, clusters of industrial cities are supported by nearby centers of coal or oil extraction. Whereas policies directly targeting manufacturing and electric power infrastructure would drastically undermine the GDP of industrial cities, consumption-based policies might allow emission reductions to be subsidized by those with greater ability to pay. In particular, sector-based analysis of each city suggests that technological improvements could be a practical and effective means of reducing emissions while maintaining growth and the current economic structure and energy system. We explore city-level emission reductions under three scenarios of technological progress to show that substantial reductions (up to 31%) are possible by updating a disproportionately small fraction of existing infrastructure.

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Journal ArticleDOI

Regional development and carbon emissions in China

TL;DR: In this paper, the authors used the logarithmic mean divisia index (LMDI) to estimate seven socioeconomic drivers of the changes in CO2 emissions in China since 2000 and found that China's carbon emissions have plateaued since 2012 mainly because of energy efficiency gains and structural upgrading.
Journal ArticleDOI

China’s CO2 peak before 2030 implied from characteristics and growth of cities

TL;DR: In this paper, a Monte Carlo approach is used to simulate the peak of per capita emissions using a Kuznets function based on China's historical emissions, which predicts that emissions in China could peak between 2021 and 2025, well ahead of the Paris target of 2030.
Journal ArticleDOI

Examining the multiple impacts of technological progress on CO2 emissions in China: A panel quantile regression approach

TL;DR: In this paper, a panel quantile regression approach and a balanced city panel data model are used to investigate the impact of technological progress on CO2 emissions, specifically taking into account its heterogeneous effect in various economic sectors.
Journal ArticleDOI

Coordinating technological progress and environmental regulation in CO2 mitigation: The optimal levels for OECD countries & emerging economies

TL;DR: In this article, the panel smooth transition regression technique was employed to explore the optimal threshold values for CO2 emissions reduction in the case of OECD countries and emerging economies, and the results showed that: (1) OECD countries are at a level of excessive technological progress, which will have a rebound effect and increase CO 2 emissions.
References
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TL;DR: A system of cluster analysis for genome-wide expression data from DNA microarray hybridization is described that uses standard statistical algorithms to arrange genes according to similarity in pattern of gene expression, finding in the budding yeast Saccharomyces cerevisiae that clustering gene expression data groups together efficiently genes of known similar function.
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The application of cluster analysis in strategic management research: an analysis and critique

TL;DR: Analysis of 45 published strategy studies reveals that the implementation of cluster analysis has been often less than ideal, perhaps detracting from the ability of studies to generate knowledge.
Posted Content

The Chinese Economy: Transitions and Growth

TL;DR: In this article, Naughton provides both an engaging, broadly focused introduction to China's economy since 1949 and original insights based on his own extensive research, which is suitable for classroom use for undergraduate or graduate courses.
Journal ArticleDOI

Reduced carbon emission estimates from fossil fuel combustion and cement production in China

TL;DR: China’s carbon emissions are re-evaluated using updated and harmonized energy consumption and clinker production data and two new and comprehensive sets of measured emission factors for Chinese coal, finding that total energy consumption in China was 10 per cent higher in 2000–2012 than the value reported by China's national statistics, and that emission factors are on average 40 per cent lower than the default values recommended by the Intergovernmental Panel on Climate Change.
Journal ArticleDOI

A review of recent multi-region input–output models used for consumption-based emission and resource accounting

TL;DR: In this article, the authors provide an in-depth review of the most recent multi-region input-output models used for the purpose of consumption-based environmental accounting and conclude that further research is mainly needed in two areas, improving data availability and quality and improving the accuracy of MRIO modelling.
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