| 摘要: |
| 在能源环境领域中,强度指标能够衡量能源利用与碳排放的相对效率,被广泛应用于国家节能减排目标和能源环境政策制定与实施中。乘性结构分解分析以投入-产出模型为基础,对导致强度指标变化/差异的影响因素进行系统的量化研究。近年来,乘性结构分解分析无论在应用还是方法论层面都有了较快的发展。对2010—2019年间将乘性结构分解分析方法用于能源碳排放指标的研究进行综述分析,发现:(1)研究数量呈现快速上升趋势; (2)研究问题呈现单区域向多区域拓展的特征; (3)非竞争型进口假设被越来越多地采纳; (4)大分解因素数量的研究逐渐增加; (5) D＆L(或广义Fisher指数)方法仍然是乘性结构分解分析框架内最为常用的分解方法。在对乘性结构分解分析方法论发展进行评述的基础上,提炼未来发展需求和研究空白。 |
| 关键词: 结构分解分析 乘性分解 强度指标 能源碳排放领域 中国 |
| DOI：10.13216/j.cnki.upcjess.2020.05.0001 |
| 分类号:X24;F426.2 |
| 基金项目:国家自然科学基金项目(71804121,71834003);中央高校基本科研业务费专项资金资助项目 |
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| Review of Energy/Carbon Intensity Studies Using Multiplicative Structural Decomposition Analysis Framework |
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YAN Junna1, SU Bin2, LI Yingzhu3
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(1.Business School, Tianjin University of Finance and Economics, Tianjin 300222, China;2.Energy Studies Institute, National University of Singapore, 119620 Singapore;3.School of Public Affairs, Zhejiang University, Hangzhou, Zhejiang 310058, China)
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| Abstract: |
| Within the energy and environment field, intensity indicator, which measures the relative efficiency of energy use and carbon emissions, has been widely adopted in the national energy conservation and mitigation goal and the related policy formulation. Multiplicative structural decomposition analysis (M-SDA), which is based on the input-output model, can quantitatively decompose the changes/differences in the intensity indicator in a systematic way. In recent years, M-SDA has achieved a rapid development in the aspects of methodology and application. This paper reviews the M-SDA studies on energy and emissions during 2010—2019. It is found that (1) the number of the studies has shown a quick growth trend; (2) the topic has expanded from single-region to multi-region issue; (3) the non-competitive imports assumption has been the most frequent choice; (4) there are increasing researches with large number of decomposed factors; (5) the D&L (or generalized Fisher index) method is the commonly adopted decomposition technique in M-SDA studies. On these bases, this paper summarizes the methodology development of M-SDA and the research gap in the near future. |
| Key words: structural decomposition analysis multiplicative decomposition intensity indicator energy and environment field China?偅j |
