一带一路沿线国家碳排放的LMDI分解研究
Research on LMDI Decomposition of Carbon Emissions from OBOR Countries
DOI: 10.12677/CCRL.2018.71005, PDF,  被引量    国家自然科学基金支持
作者: 郭 宇*, 赵长红, 袁家海, 吴梦雅:华北电力大学经济与管理学院,北京
关键词: 一带一路碳排放LMDIOBOR Carbon Emission LMDI
摘要: “一带一路”战略有利于带路国家履行减排承诺,还能帮助其实现绿色可持续发展,这对“一带一路”战略得到世界认同并取得成功具有重要意义。本文基于对数平均迪式分解法(LMDI)将碳排放贡献因素分解为:人口、人均GDP、能源碳强度和能源强度,发现四项因素对不同国家的影响具有差异性,同时存在一定的地域综合性;人口和人均GDP对碳排放的贡献大致是一个由正转负的过程,后两项则相反,且能源碳强度和能源强度越来越成为“一带一路”沿线国家减排的重要考量因素。因此,沿线各国地区在制定低碳发展政策时,要立足自身情况,积极借鉴其他国家经验,尽可能与周边国家地区在气候领域范围内协同共进,进而建立起适应全球气候变化的发展新路径。
Abstract: In the process of implementing the “OBOR” strategy, both to lead the countries to fulfill the com-mitment to reduce emissions and achieve its green sustainable development, the “OBOR” strategy getting the world recognition and success is of great significance. Based on LMDI, the contribution of carbon emission is decomposed into four categories: population, per capita GDP, energy carbon intensity and energy intensity. It is found that the four factors have different effects on different countries, but there is also a certain degree of territoriality. The first two contributions to carbon emissions are roughly a process of positive to negative. The latter two are the opposite, and energy carbon intensity and energy intensity have increasingly become important factors in OBOR’s emission reduction. Therefore, countries and regions in the development of low-carbon development policies should base on their own situation, learn from other countries’ experience, as far as possible with the neighboring countries and regions in the climate field synergies, and then establish a new path to the development of global climate change.
文章引用:郭宇, 赵长红, 袁家海, 吴梦雅. 一带一路沿线国家碳排放的LMDI分解研究[J]. 气候变化研究快报, 2018, 7(1): 32-43. https://doi.org/10.12677/CCRL.2018.71005

参考文献

[1] 刘源, 李向阳, 林剑艺, 崔胜辉, 赵胜男. 基于LMDI分解的厦门市碳排放强度影响因素分析[J]. 生态学报, 2014, 34(9): 2378-2387.
[2] 顾阿伦, 何崇恺, 吕志强. 基于LMDI方法分析中国产业结构变动对碳排放的影响[J]. 资源科学, 2016, 38(10): 1861-1870.
[3] 郭朝先. 中国碳排放因素分解: 基于LMDI分解技术[J]. 中国人口.资源与环境, 2010, 20(12): 4-9.
[4] 梁大鹏, 刘天森, 李一军. 基于LMDI模型的金砖五国二氧化碳排放成本及其影响因素比较研究[J]. 资源科学, 2015, 37(12): 2319-2329.
[5] 杨言洪, 徐天鹏. “一带一路”沿线国家经济社会发展比较分析[J]. 北方民族大学学报(哲学社会科学版), 2016(4): 115-118.
[6] 张守营. 中国在“一带一路”沿线国家中工业化水平处于上游[N]. 中国经济导报, 2016-03-09(T05).
[7] Ang, B.W. (2004) Decomposition Analysis for Policymaking in Energy: Which Is the Preferred Method? Energy Policy, 32, 1131-1139. [Google Scholar] [CrossRef
[8] Saboori, B., Rasoulinezhad, E. and Sung, J. (2017) The Nexus of Oil Consumption, CO2 Emissions and Economic Growth in China, Japan and South Korea. Environmental Science and Pollution Research International, 24, 7436-7455. [Google Scholar] [CrossRef] [PubMed]
[9] Cheah, L. and Finenko, A. (2014) Carbon Dioxide Reduction Potential in Singapore’s Power Generation Sector. Energy Procedia, 61, 527-532.
[10] 施锦芳, 刘娟. “一带一路”倡议下的东北亚经济合作分析[J]. 日本研究, 2016(4): 53-56.
[11] 曹云华. 东南亚地区的能源形势[J]. 东南亚纵横, 2000(S1): 94-100.
[12] 方人. 东南亚国家的能源[J]. 东南亚研究资料, 1981(2): 1-3.
[13] Ali, W., Abdullah, A. and Azam, M. (2017) The Dynamic Relationship between Structural Change and CO2 Emissions in Malaysia: A Cointegrating Approach. Environmental Science and Pollution Research International, 24, 12723-12739. [Google Scholar] [CrossRef] [PubMed]
[14] Chandarasekharam, D., Aref, L. and Al Arifi, N. (2014) CO2 Mitigation Strategy through Geothermal Energy, Saudi Arabia. Renewable and Sustainable Energy Reviews, 38, 154-163. [Google Scholar] [CrossRef
[15] Solarin, S.A. and Lean, H.H. (2016) Natural Gas Consumption, Income, Urbanization, and CO2 Emissions in China and India. Environmental Science and Pollution Research International, 23, 18753-18765. [Google Scholar] [CrossRef] [PubMed]
[16] Dai, S., Zhang, M. and Huang, W. (2016) Decomposing the Decoupling of CO2 Emission from Economic Growth in BRICS Countries. Natural Hazards, 84, 1055-1073. [Google Scholar] [CrossRef
[17] 俄罗斯人口终于增长了[EB/OL].
http://www.renkou.org.cn/countries/eluosi/2016/6023.html, 2016-06-23.
[18] 俄媒: IMF统计显示俄罗斯人均GDP四年缩水近一半[EB/OL].
http://news.163.com/16/1201/21/C77UOKQO000187V8.html, 2016-12-01.
[19] Hasan, R. and Andrés, A.R. (2016) Determinants of CO2 Emissions in Brazil and Russia between 1992 and 2011: A Decomposition Analysis. Environmental Science and Policy, 58, 95-106. [Google Scholar] [CrossRef