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首页> 外文期刊>Journal of Cleaner Production >Provincial-level useful work and influencing factors analysis in China from 1985 to 2016: Based on logarithmic mean divisia index decomposition and affinity propagation clustering
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Provincial-level useful work and influencing factors analysis in China from 1985 to 2016: Based on logarithmic mean divisia index decomposition and affinity propagation clustering

机译：1985-2016年中国省级有益工作及影响因素分析：基于对数平均除数指数分解和亲和力传播聚类

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Different from conventional energy analyses which focus on primary and final stages of energy flows, useful work analysis can describe the last stage of energy transformations to end-uses. Besides, useful work analysis considers the quality of energy flows as well as efficiencies and provide a robust thermodynamic framework for analyzing the efficiency of energy use. As the world's largest energy consumer, China has less number of studies related to useful work analysis and mainly centered on national scale besides ignoring the impact of differences among different regions. Owing to this, this study developed an analysis on the temporal and spatial characteristics of useful work in China on provincial level during 1985-2016, and combined logarithmic mean divisia index (LMDI) decomposition with affinity propagation clustering to systematically evaluate the spatial distribution of the driving factors of useful work, thereby proposing a targeted energy policy proposal for each cluster of provinces. It has been noted that the useful work of southeastern provinces has increased significantly since 1995, while western provinces had some improvements after 2005 due to the "Western Development Drive" policy. Economic output and energy intensity were the two most important factors in most of the provinces, the efficiency effect was always positive and incremental and the impact of industrial structure and energy structure were complicated. Furthermore, it could be noted that the formulation of China's energy policies should consider the features of regional useful work and their driving mechanism, and more importantly it should be adjusted in a timely manner in order to respond to different developmental stages. (C) 2018 Elsevier Ltd. All rights reserved.
机译：与专注于能量流的初始阶段和最终阶段的常规能源分析不同，有用的工作分析可以描述能源转换为最终用途的最后阶段。此外，有用的工作分析会考虑能量流的质量以及效率，并为分析能源使用效率提供强大的热力学框架。作为世界上最大的能源消费国，除了忽略不同地区之间的影响之外，与有用的工作分析相关的研究数量很少，并且主要集中在国家一级。因此，本研究对1985-2016年中国省级有用工作的时空特征进行了分析，并将对数平均除数指数（LMDI）分解与亲和力传播聚类相结合，从而系统地评估了中国有用工作的时空分布。推动有用工作的因素，从而针对每个省份提出有针对性的能源政策建议。值得注意的是，自1995年以来，东南省份的有用工作大大增加，而西部省份由于“西部大开发”政策而在2005年之后有所改善。经济产出和能源强度是大多数省份中最重要的两个因素，效率效应始终是积极的和增量的，产业结构和能源结构的影响是复杂的。此外，应该指出的是，中国能源政策的制定应考虑区域有益工作的特点及其驱动机制，更重要的是应及时调整以适应不同的发展阶段。 （C）2018 Elsevier Ltd.保留所有权利。

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