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新疆能源消费强度空间公平性分析及节能潜力评估
引用本文:尹晶晶,杨德刚,霍金炜,于良,张豫芳.新疆能源消费强度空间公平性分析及节能潜力评估[J].资源科学,2013,35(11):2151-2157.
作者姓名:尹晶晶  杨德刚  霍金炜  于良  张豫芳
作者单位:中国科学院新疆生态与地理研究所, 乌鲁木齐 830011;中国科学院大学, 北京 100049;中国科学院新疆生态与地理研究所, 乌鲁木齐 830011;中国科学院新疆生态与地理研究所, 乌鲁木齐 830011;中国科学院大学, 北京 100049;中国科学院新疆生态与地理研究所, 乌鲁木齐 830011;中国科学院大学, 北京 100049;中国科学院新疆生态与地理研究所, 乌鲁木齐 830011
基金项目:中国科学院西部博士课题:"天山北坡城镇化进程中的用水保障能力及动态调控研究"(编号:XBBS201108)
摘    要:能源消费强度空间公平性的本质是区域经济发展权的合理分配,维持能源消费空间公平性有利于区域经济的协调与可持续发展。本文以新疆15个地、州、市为研究对象,运用基尼系数、人均GDP能耗绿色贡献系数和节能潜力指数等测算方法,对区域能源消费强度的空间公平性和节能潜力进行研究,结果表明:①发展阶段的差异导致新疆总体能源消费强度和工业能耗分配呈现显著的空间非均衡性,其中新疆能源消费不均衡的原因是部分快速工业化地区能源消费过度,而工业能耗分配悬殊的原因则是粗放的经济增长方式和工业发展模式;②基于影响因素呈现工业阶段化特征,提出根据不同工业化发展阶段对各区域制定差别化节能目标和节能措施,不仅能有效缩小地区间的能源消费差距,经测算还将使新疆整体的能耗减少13%,这对新疆乃至全国低碳经济发展都有着重要意义。

关 键 词:基尼系数  能源利用差异  绿色贡献系数  节能潜力  新疆
修稿时间:9/9/2013 12:00:00 AM

Energy Consumption Intensity Space Differences and The Evaluation of The Energy Saving Potential in Xinjiang
YIN Jingjing,YANG Degang,HUO Jinwei,YU Liang and ZHANG Yufang.Energy Consumption Intensity Space Differences and The Evaluation of The Energy Saving Potential in Xinjiang[J].Resources Science,2013,35(11):2151-2157.
Authors:YIN Jingjing  YANG Degang  HUO Jinwei  YU Liang and ZHANG Yufang
Institution:Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;University of Chinese Academy of Sciences, Beijing 100049, China;Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;University of Chinese Academy of Sciences, Beijing 100049, China;Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;University of Chinese Academy of Sciences, Beijing 100049, China;Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
Abstract:The Gini coefficient and the green contribution ratio are perfect measures of energy consumption fairness and reasonability across regions. The Gini coefficient is used to analyze causes of energy consumption spatial differences and the green contribution ratio is a tool to identify unfair factors leading to inequity of energy consumption. Here, we calculate the Gini coefficient and green contribution ratio to definite the causes and factors of spatial differences. We found that the Gini coefficient of energy consumption based on per capita GDP is 0.41 for Xinjiang, indicating that energy utilization efficiency has obvious regional differences. The green contribution ratio revealed that Urumqi, Aksu and Changji are in a rapid development stage of industrialization and are unfair factors. The Gini coefficient of energy consumption based on industrial added value per unit of GDP is 0.58, which shows that the distribution of industrial energy consumption is disparate. The green contribution coefficient revealed that unfair factors comprise regions with extensive industrial development mode, such as Kashi, Hotan, Tacheng, BoZhou, Urumqi and Shihezi. Through calculating the energy-saving potential coefficient based on different development stages of industrialization, and using the potential energy saving as the target to enhance regional energy efficiency, overall energy consumption in Xinjiang will be reduced by 13%. We recommend that the area be divided into high and low potential energy saving areas, so that effective methods can drive the effective allocation of regional energy.
Keywords:Gini coefficient  Energy utilization difference  Green contribution coefficient  Energysaving potential  Xinjiang
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