作者:中国统计出版社 出版社:中国统计出版社 出版时间:2008-12-00 开本:16开 印刷时间:2008-12-00 版次:1 ,购买2008中国能源统计年鉴(china energy statistical yearbook等综合其他相关商品,欢迎您到孔夫子旧书网
中国能源统计年鉴 = China energy statistical yearbook . 1991～1996 喜欢 0 阅读量: 143 出版时间: 1998/1/1 收藏 引用 批量引用 报错 分享 求助全文 通过文献互助平台发起求助,成功后即可免费获取论文全文。 请先登入相似文献来源出版社 中国统计出版社 1998/1/1 研究点推荐 中国能源统计年鉴 站内活动...
World energy structure to low carbon fuel transition-BP company released: 2016 world energy statistical yearbook[J]. China Petroleum and Chemical Economics ... 国家统计局 - 中国环境统计年鉴-2014 China Statistical Yearbook on Environment 被引量: 55发表: 2014年 中国城乡建设统计年鉴 : China urban-...
China Energy Statistical Yearbook 1991–2021 National Bureau of Statistics of China & National Energy Administration of China. http://www.stats.gov.cn/ (2021). IEA. An energy sector road map to carbon neutrality in China IEA. https://www.iea.org/reports/an-energy-sector-roadmap-to-carbon...
The data is mainly from China Compendium of Statistics 1949–2008, China Statistical Yearbook, China Energy Statistical Yearbook, National Environment Statistic Communique, and the survey data of government agencies, including the National Development and Reform Commission of China, Ministry of Transport...
Note: Data collected from China Energy Statistical Yearbook from 2005 to 2018, The dotted line is the trend line of the energy structure during the study period, reflecting the changing trend of the energy structure Full size image In the new round of global technological and industrial change,...
The data in this paper comes from the China Energy Statistical Yearbook, China Industrial Statistical Yearbook, China Environmental Statistical Yearbook and EPS database. Notes “Two high and one surplus” refers to high pollution, high energy consumption, and overcapacity industries. Abbreviations GCP...
Source: China Energy Conservation and Environmental Network in China Energy Statistical Yearbook over the years, the International Energy and Power Statistical Manual of the International Statistical Yearbook 翻译结果2复制译文编辑译文朗读译文返回顶部 ...
Chinese residential electricity consumption: estimation and forecast using micro-data Resour. Energy Econ. (2019), 10.1016/j.reseneeco.2017.10.003 Google Scholar China Electricity Council, 2016 China Electricity Council Power Sector Statistics (2016) Google Scholar China Energy Statistical Yearbook, 2016...
The data used for the indicators in this paper were obtained from Statistical Yearbook30,31,32,33,34,35,36,37 and National Bureau of Statistics. Given that this paper applied a geographically weighted regression model to study the spatial variability of the driving factors of forest ecological ...