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Carbon Emission Characteristics and Driving Factors of Low Carbon Development in the Main Functional Areas of Guangdong Province

  • WANG Rong ,
  • WANG Wen-jun ,
  • ZHAO Dai-qing
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  • 1. Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei 230026, China;
    2. Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China

Received date: 2019-03-21

  Revised date: 2019-04-15

  Online published: 2019-08-29

Abstract

Based on the development orientation of different types of the main functional areas and the decomposition of carbon emission driving factors, targeted regional differentiation and low carbon development path as an important part of promoting the sustainable development of the main functional areas was proposed. Based on the survey data, the evolution characteristics of carbon emissions and low carbon development problems of the main functional areas in Guangdong Province since 2010 were analyzed; the reason of carbon emission differences in different functional areas were analyzed according to population effect, economic effect, energy intensity effect, industrial structure effect and carbon emission factor effect. It was found that the increase of GDP and population were the majors that led to carbon emission increase in the optimized development areas; since 2012, the optimization of industrial structure has become an influential factor for the reduction of carbon emissions in the optimized development areas, and the effect on the reduction of carbon emissions in key development areas and ecological development areas were still not obvious; the change of industrial energy intensity inhibited the carbon emissions in all these three types of the main functional areas, while the contribution rate showed significant differences. Suggestions: (1) accelerate the development of the service industry in the optimized development areas and actively promote the implementation of residential carbon emission management; (2) key development areas should focus on improving energy efficiency and promoting low-carbon technologies to improve low-carbon transformation; (3) the ecological development area should positively promote clean energy and promote the development of low-carbon agriculture.

Cite this article

WANG Rong , WANG Wen-jun , ZHAO Dai-qing . Carbon Emission Characteristics and Driving Factors of Low Carbon Development in the Main Functional Areas of Guangdong Province[J]. Advances in New and Renewable Energy, 2019 , 7(4) : 365 -373 . DOI: 10.3969/j.issn.2095-560X.2019.04.010

References

[1] WANG H K, ZHANG Y X, LU X, et al.Understanding China’s carbon dioxide emissions from both production and consumption perspectives[J]. Renewable and sustainable energy reviews, 2015, 52: 189-200. DOI: 10.1016/j.rser.2015.07.089.
[2] 赵领娣, 吴栋. 中国能源供给侧碳排放核算与空间分异格局[J]. 中国人口·资源与环境, 2018, 28(2): 48-58. DOI: 10.12062/cpre.20171003.
[3] 庄颖, 夏斌. 广东省交通碳排放核算及影响因素分析[J]. 环境科学研究, 2017, 30(7): 1154-1162. DOI: 10.13198/j.issn.1001-6929.2017.02.43.
[4] 韩钰铃, 刘益平. 基于LMDI的江苏省工业碳排放影响因素研究[J]. 环境科学与技术, 2018, 41(12): 278-284. DOI: 10.19672/j.cnki.1003-6504.2018.12.040.
[5] 王新利, 黄元生. 河北省能源消费碳排放强度影响因素分解[J]. 数学的实践与认识, 2018, 48(23): 49-58.
[6] 崔凯璇, 王仲智. 基于LMDI的江阴市工业能源消费碳排放实证分析[J]. 资源与产业, 2017, 19(2): 89-95. DOI: 10.13776/j.cnki.resourcesindustries.20170323.001.
[7] 谭显春, 赖海萍, 顾佰和, 等. 主体功能区视角下的碳排放核算——以广东省为例[J]. 生态学报, 2018, 38(17): 6292-6301. DOI: 10.5846/stxb201710311950.
[8] ANG B W.The LMDI approach to decomposition analysis: a practical guide[J]. Energy policy, 2005, 33(7): 867-871. DOI: 10.1016/j.enpol.2003.10.010.
[9] 李文慧, 李振国, 余光辉, 等. 基于LMDI法的湖南省碳排放强度影响因素解析[J]. 中国环境管理干部学院学报, 2018, 28(5): 50-54. DOI: 10.13358/j.issn.1008-813x. 2018.0830.01.
[10] 杜威. 基于LMDI分解模型的中国居民生活间接碳排放特征分析[J]. 中国人口·资源与环境, 2016, 26(S2): 5-9.
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