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影响单位GDP能耗的因素多种多样,其中结构因素是较为重要的影响因素。为客观比较地区能源效率,设法将较为重要的结构因素剔除,引入"虚拟单位GDP能耗"概念,对22个省级地区2010年的能源利用效率进行比较分析。产业层次下的虚拟单位GDP能耗是保持地区各产业部门能源消费量不变,将地区产业结构用全国产业结构替换,参照单位GDP能耗计算方法所得的结果即为地区虚拟单位GDP能耗。分析结果表明,结构因素仍然是影响地区能源利用效率的重要因素,三次产业结构调整仍是节能降耗的重要方向。对于虚拟单位GDP能耗较实际单位GDP能耗降低幅度较大的地区,产业结构调整显得尤为重要,但三次产业结构调整短期内难以实现,且具有较大的不确定性,此类地区短期内可行的节能降耗途径是调整二次产业内部结构,降低高耗能行业比重,并利用科技进步降低产品单耗。对于虚拟单位GDP能耗较实际单位GDP能耗升高的地区,其产业结构较为合理,需通过进一步优化三次产业结构、重点优化产业内部结构、降低产品单耗等方式实现节能降耗。 相似文献
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杭州市能源利用效率现状与对策 总被引:1,自引:1,他引:0
以"十五"末~2005年本地区的能源与利用状况为分析基础,针对国家提出的"十一五"期间GTP能耗下降20%的目标,从能源消费现状、结构和发展趋势、工业用能、单位产品能耗、工艺、设备耗能效率和节能技术创新角度,浅析降低能源消耗和损失;提高能源利用效率. 相似文献
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本文对广东省能源消费情况进行了介绍,分析了"十一五"前4年广东省单位GDP能耗变化趋势,并采用因素分解模型对2006~2009年广东省单位GDP能耗和工业增加值能耗变动因素进行了分解和分析,根据上述结果,提出了"十二五"广东省节能工作的相关建议。 相似文献
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国家"十一五"规划纲要明确提出到"十一五"期末要实现单位GDP能耗下降20%的目标,我国政府对节能工作高度重视,目前已经出台了一系列的相关法律和政策,必将进一步推动我国的节能工作。我国能源消费和供应结构都是以煤为主,单位GDP能耗较高,而且能源资源价格还有待于进一步完善。"十一五"期间,要坚持节能与开源并举,节能优先的基本方针,大力提高能源利用效率,积极优化产业结构,大力发展清洁新能源,加大节能先进适用技术的研发。为此,要进一步修改完善相关法律法规、完善能源价格形成机制、加大节能研发和国际合作、建立能耗统计、监测和评估体系,以保障"十一五"节能目标的实现。 相似文献
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中国人口众多,正处于工业化和城镇化快速发展时期,能源消费仍处于增长阶段。目前,中国的人均能源消费量只有美国的1/5。"十一五"以来,中国以较低的能源消费增长支撑了国民经济较快发展,"十一五"前四年,中国万元GDP能耗由1.276t标准煤下降到1.077t标准煤,年均下降4.15%。2010年是"十一五"规划最后一年,为完成"十一五"期间实现全国单位GDP能耗下降20%的节能减排目标,国务院各部委纷纷出台相应的措施,采取法律、行政、经济等多种手段,力争确保这一目标的顺利实现。未来5~10年,国家将进一步加大产业调整力度,大力发展新能源,逐步减少传统能源在能源需求中的比重,预计"十二五"期间,中国的煤炭在能源结构中的比重将由目前的70%下降到63%,中国风电、太阳能等可再生能源利用规模将达到1.1×108t标准煤;在2020年之前国家将投入5万亿元用于新兴能源产业建设;同时,国家还将重点推广257项新技术,支持新能源发展。 相似文献
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我国近几年节能减排取得巨大成就,与2005年比较,2009年全国单位GDP能耗降低15.56%;"十一五"前4年节能率为4.14%,节能量达到56511×104t标煤;环境污染物增长率和单位GDP污染物产生量明显下降。但节能减排形势依然严峻,目前完成"十一五"能源强度降低20%左右的目标任务十分艰巨。同时,能源资源相对短缺、节能压力巨大、能源开发利用效率不高、环境污染严重、节能管理体制改革明显滞后等问题依然存在。其原因主要是经济增长过快、产业结构调整十分艰难、节能降耗步履维艰、能源结构调整进展较慢、能源消费量增长迅速等。为了保持资源和环境的可持续发展,必须控制能源需求总量的增长,优化能源结构,2020年能源消费总量不应超过42×108t标煤,特别要抑制煤炭生产量和消费量的快速增长。同时今后10年经济增长速度最好保持在7%~8%之间。改变经济增长模式的重点在于转变发展方式,要由生产型大国向消费型大国转型、由投资主导型转向消费主导型,到2020年第三产业的比重应达到50%左右。要加大节能力度,提高能源利用效率,"十二五"和"十三五"期间,单位GDP能耗应分别下降20%。另外,应积极发展各种非化石能源,深化能源体制改革,进一步加强国际合作。 相似文献
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本文研究与分析了2013年~2018年期间我国GDP增长、一次能源消费、单位GDP能耗等情况,分析了这些年来我国GDP能耗下降的原因,指出当前进行的第四次能源革命,已经将节能提高到了"第一能源"的优先位置,我们一定要对节能重新认识,加强其紧迫感与使命感,使节能在经济可持续发展中发挥应有的作用。 相似文献
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随着昆明市社会经济的快速发展,能源消耗及环境问题日益严重,减少二氧化碳排放、建设低碳城市已成为昆明市可持续发展的关键.基于扩展的Kaya恒等式建立了因素分解模型,并应用对数平均Divisia指数方法(LMDI)对昆明市2005—2010年能源消费碳排放变化情况进行了分解分析.研究表明:现阶段昆明市能源消费碳排放最大的影响因素是经济产出规模,其贡献率达到155.76%;而能源效率仅次于经济产出呈现负效应,其贡献率为-87.68%;其它表现为正效应的影响因素分别为产业结构、人口规模、产业能源消费碳排放,其贡献率分别为14.36%、13.42%、4.13%.“十二五”及未来一段时期,调整产业结构、优化能源结构、提高能源效率及发展碳汇项目是昆明市二氧化碳减排的重点任务,为昆明市低碳城市建设提供保障. 相似文献
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Jiang Kejun 《Energy Efficiency》2009,2(4):401-409
It is suggested in the proposal of the 11th Five Year Plan (from 2006 to 2010) that the total reduction rate of energy intensity
per GDP (2005–2010) should be 20%. The annual reduction rate of energy intensity between 2005 and 2010 must reach 4.3% to
meet this goal, and the elasticity of energy consumption should be less than 0.5. However, given that in 2000–2005 the average
elasticity of energy consumption was as high as 1.084, it will be a great challenge to achieve the goal. We characterize the
progress on energy efficiency in the context of the overall Chinese energy system, including both government policies and
business efforts. When reviewing recent progress made (until 2007), major energy efficiency improvements can be observed.
China is now adopting best efficiency practice in its newly installed capacity. This paper presents the policy packages and
efficiency achievements in industry and other sectors. 相似文献
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The challenge of reducing energy consumption of the Top-1000 largest industrial enterprises in China
In 2005, the Chinese government announced an ambitious goal of reducing energy consumption per unit of gross domestic product (GDP) by 20% between 2005 and 2010. One of the key initiatives for realizing this goal is the Top-1000 Energy-Consuming Enterprises program. The energy consumption of these 1000 enterprises accounted for 33% of national and 47% of industrial energy usage in 2004. Under the Top-1000 program, 2010 energy consumption targets were determined for each enterprise. The objective of this article is to evaluate the program design and initial results, given limited information and data, to understand the possible implications of its success in terms of energy and carbon dioxide emission reductions and to recommend future program modifications based on international experience with similar target-setting agreement programs. Even though the Top-1000 program was designed and implemented rapidly, it appears that – depending upon the GDP growth rate – it could contribute to somewhere between approximately 10% and 25% of the savings required to support China's efforts to meet a 20% reduction in energy use per unit of GDP by 2010. 相似文献
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从主要能耗指标变动看江苏省的节能形势 总被引:1,自引:1,他引:0
我国在"十一五"规划纲要中提出"十一五"末万元GDP能耗下降20%左右的目标,江苏正在积极落实这一目标。本文通过对江苏能源生产与消费状况,以及能源利用效率和节能潜力的分析,提出了加强江苏节能工作的具体建议。 相似文献
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Mehdi Abid 《Energy Sources, Part B: Economics, Planning, and Policy》2020,15(4):252-277
ABSTRACT Since its revolution in 2010, Tunisia has known a drastic decrease of its GDP reaching the lowest level during the two last decades. In this context, this paper examines the relationship between oil prices, GDP and energy consumption for Tunisia over the 1986–2014 period. The error-correction model (VECM) is employed to investigate the dynamic causality relationships among the variables. In the short run, we find unidirectional causality from oil price and energy consumption to GDP, but this does not indicate unidirectional causality from energy consumption and GDP to oil price. In the long run, our results suggest the existence of a bi-directional Granger causality between oil price, energy consumption, and GDP. We thus propose policy suggestions to solve the energy and sustainable development dilemma in Tunisia, such as encouraging the development of renewable energy, controlling energy consumption through more ambitious programs of energy efficiency and rational use of energy. 相似文献
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This study was conducted to evaluate the causality between energy consumption, GDP growth and carbon emissions for eight Asia-Pacific countries from 1971 to 2005 using the panel data. The results indicate that there are long-run equilibrium relationships between these variables. Additionally, causality from energy consumption to CO2 emissions was observed generally, but there were some opposite relationships also. Parameter estimations of the panel data model indicate that there are great differences in the carbon emissions, the efficiencies of energy use, carbon emissions of unit GDP and unit energy consumption between developed and developing countries. The base carbon emissions, per capita energy consumption and efficiency of energy use in developing countries are far lower than in developed countries; however, the CO2 emissions per unit of energy use is higher. Although developing countries may reduce their CO2 emission per unit energy use, total energy consumption will rise rapidly with economic development. Thus, developing countries must determine how to undergo economic growth while conserving energy and reducing emissions. To respond to global climate change, it is necessary to develop innovative technology for energy use, transform the energy structure and conduct the clean development mechanism. 相似文献