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How do CO2 emissions and efficiencies vary in Chinese cities? Spatial variation and driving factors in 2007

pmid: 31030150
Understanding the spatial variability of CO2 emissions among and within cities and its driving factors is a prerequisite for emission reductions. Using 10 × 10 km national grid emission data (circa 2007), we quantified the spatial distribution of total CO2 emissions and emission efficiency of Chinese cities at the prefectural city scale. The emission efficiency was measured according to the emission intensity, CO2 emissions per capita, residential CO2 emissions per capita and industrial CO2 emissions per unit area. We found substantial variability in the total CO2 emissions among cities ranging from <0.1 to 214.3 million tons. High total CO2 emissions were mostly concentrated in northern, eastern and northeastern China. An overall analysis of the total CO2 emissions and emission intensity revealed that 75% of the cities in northern China had higher total emissions and lower efficiencies than the national average, and these cities shall be the main targeted cities for CO2 emissions reduction and emission intensity improvement. Additionally, urban districts had higher total CO2 emissions and emissions per capita than their surrounding regions for the majority of the prefectural cities. Four indicators, including the industrial structure, gross domestic product (GDP), total population, and size of the built-up area, were significantly related to the CO2 emissions and emission efficiency. Industrial structure was the most important driving force. Our results underscore the need to design region- and/or city-specific reduction strategies instead of a one-size-fits-all policy, and provide strategic information to public and private decision makers on controlling total emissions and improving emission efficiency.
- State Key Laboratory of Urban and Regional Ecology China (People's Republic of)
- Chinese Academy of Sciences China (People's Republic of)
- Chinese Academy of Sciences (中国科学院) China (People's Republic of)
- Wageningen University & Research Netherlands
- Research Center for Eco-Environmental Sciences China (People's Republic of)
571, Socioeconomic factors, CO2 emissions, PE&RC, Emission efficiency, Laboratory of Geo-information Science and Remote Sensing, Spatial distribution, Laboratorium voor Geo-informatiekunde en remote sensing, Laboratorium voor Geo-informatiekunde en Remote Sensing, Urban-rural difference
571, Socioeconomic factors, CO2 emissions, PE&RC, Emission efficiency, Laboratory of Geo-information Science and Remote Sensing, Spatial distribution, Laboratorium voor Geo-informatiekunde en remote sensing, Laboratorium voor Geo-informatiekunde en Remote Sensing, Urban-rural difference
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).37 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
