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Analysis of drivers and policy implications of carbon dioxide emissions of industrial energy consumption in an underdeveloped city: The case of Nanchang, China

机译:欠发达城市工业能源消耗二氧化碳排放的驱动因素及政策含义分析:以南昌市为例

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摘要

Currently, little attention has been paid to reducing the carbon dioxide (CO2) emissions of underdeveloped cities to combat climate change, especially in central China. Taking Nanchang as a case study, we computed this city's CO2 emissions (CE) from industrial energy consumption and analyzed the corresponding drivers using the logarithmic mean Divisia index (LMDI). The results showed that economic output was mainly responsible for the CE growth followed by population with average annual contribution rates of 26.00% and 2.27%, respectively. In contrast, energy intensity presented the most clear mitigation effect followed by industrial structure, the mitigating effect of energy mix was the least impactful, and the average annual contributions were -10.71%, -4.20% and -1.40%, respectively. Moreover, the CE from "fuel combustion" exhibited a clear fluctuation due to the economic crisis, but the CE of "electricity and heat" exhibited only a slight variation because the consumption of the former could be easily reduced but reducing consumption of the latter is difficult in everyday life. In addition, in the traditional modes of economic development, 119 (smelting and processing of ferrous metals), 130 (production and supply of electric power and heat power) and 115 (manufacture of raw chemical materials and chemical products), were always among the top 3 contributing sub-sectors. However, in the 'new normal', 126 (manufacture of communication equipment, computers and other electronic equipment) and 12 (processing of food from agricultural products) were first among the top 3 sub-sectors. Thus, these sub-sectors should be given priority when designing related reduction policies. Specific countermeasures or suggestions for reducing Nanchang's CE were recommended. (C) 2018 Elsevier Ltd. All rights reserved.
机译:目前,很少有人关注减少不发达城市的二氧化碳排放以应对气候变化,特别是在中国中部地区。以南昌市为例,我们通过工业能耗计算了该市的二氧化碳排放量(CE),并使用对数平均Divisia指数(LMDI)分析了相应的驱动因素。结果表明,经济产出是消费电子消费增长的主要原因,其次是人口,年均贡献率分别为26.00%和2.27%。相比之下,能源强度的缓解效果最明显,其次是产业结构,能源结构的缓解效果影响最小,年均贡献分别为-10.71%,-4.20%和-1.40%。而且,由于经济危机,来自“燃料燃烧”的CE显示出明显的波动,但是“电和热”的CE仅显示出微小的变化,因为可以容易地减少前者的消耗,但是减少后者的消耗是。日常生活中的困难。此外,在传统的经济发展方式中,119(黑色金属的冶炼和加工),130(电力和热力的生产和供应)和115(化学原料药和化学产品的制造)始终是其中的一员。前三大贡献子行业。但是,在“新常态”中,排名前三的子行业中第一名是126(通信设备,计算机和其他电子设备的制造),第二名是12(农产品加工食品)。因此,在设计相关的减排政策时应优先考虑这些子行业。提出了减少南昌市CE的具体对策或建议。 (C)2018 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Journal of Cleaner Production》 |2018年第10期|843-857|共15页
  • 作者单位

    Jiangxi Normal Univ, Minist Educ, Key Lab Poyang Lake Wetland & Watershed Res, Nanchang 330022, Jiangxi, Peoples R China;

    Jiangxi Normal Univ, Sch Geog & Environm, Nanchang 330022, Jiangxi, Peoples R China;

    Jiangxi Sci & Technol Normal Univ, Nanchang 330013, Jiangxi, Peoples R China;

    Jiangxi Normal Univ, Minist Educ, Key Lab Poyang Lake Wetland & Watershed Res, Nanchang 330022, Jiangxi, Peoples R China;

    Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Key Lab Reservoir Aquat Environm, Chongqing 400714, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    CO2 emission (CE); Drivers; Industrial energy consumption; Underdeveloped city; LMDI;

    机译:二氧化碳排放量(CE);驱动因素;工业能耗;欠发达城市;LMDI;
  • 入库时间 2022-08-17 13:42:52

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