万元工业增加值取水量变化的行业驱动作用与类型分析
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- 论文作者：潘国强
- 年：2016
- 作者机构：河南省水利科学研究院;
- 论文关键词：LMDI ; Kaya恒等式 ; 万元工业增加值取水量 ; 驱动因素 ; 行业驱动特征
- 会议召开时间：2016-10-14
- 会议录名称：2016中国环境科学学会学术年会论文集（第一卷）
- 英文会议录名称：Proceedings of 2016 Annual Meeting of Chinese Society for Environmental Sciences
- 语种：中文
- 分类号：TV213.4
- 学会代码：HJKP
- 会议名称：中国环境科学学会2016年学术年会
- 会议地点：中国海南海口
- 主办单位：中国环境科学学会
- 学会名称：中国环境科学学会
- 页数：12
- 文件大小：619k
- 原文格式：O
- 会议级别：全国
摘要
通过kaya恒等式扩展,将万元工业增加值取水量变化的驱动作用分解为区域工业结构、行业节水效率和行业用水效益三个方面;采用对数均值迪氏指标分解方法(LMDI),提出基于行业尺度的区域万元工业增加值取水量变化的驱动作用、类型与对策为论文的创新点。依据河南省2008年-2013年的而板数据的研究表明:用水效益的正向驱动作用持续稳定,是河南万元工业增加值取水量下降的主要驱动因素,工业节水建设的成效逐步显现,工业结构调整的驱动作用有待加强;在划分的强抑制、弱抑制、弱推动和强推动四种行业类型中,强抑制和强推动行业是决定区域万元工业增加值取水量变化的重点,提出基于行业驱动特征的河南省降低万元工业增加值取水量的对策建议。论文将Kaya模型拓展,并应用于行业尺度的水资源研究,将应对水资源危机的对策分解落实到具体的行业,有针对性的给出政策建议,具有理论和实际双重意义。
引文
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[19]郭朝先.中国碳排放因素分解:基于LMDI分解技术[J].中国人口·资源与环境,2010,20(12):4-9.Guo Chaoxian.Decomposition of China's carbon emissions:based on LMDI method[J].China Population Resources and Environment,2010,20(12):4-9.
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[22]Ang B W.The LMDI approach to decomposition analysis:a practical guide[J].Energy Policy,2005,(33):867-871.
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[2]河南省统计局.河南统计年鉴[M].北京:中国统计出版社,2008~2013.Henan Province Statistical Bureau.Statistics yearbook of Henan province[M].Beijing:China Statistics Press,2008~2013.
[3]孙才志,王妍,李红新,等.辽宁省用水效率影响因素[J].水利经济,2009,27(2):1-5.Sun Caizhi,Wang Yan,Li Hongxin,et al.Influencing factors of water utilization efficiency in Liaoningprovince[J].Journal of Economics of Water Resources,2009,27(2):1-5.
[4]孙才志,谢巍,邹玮.中国水资源利用效率驱动作用测度及空间驱动类型分析[J].地理科学,2011,31(10):1213-1220.Sun Caizhi,Xie Wei,Zou Wei.Contribution ratio measurement of water use efficiency driving effects and spatial driving type in China[J].Scientia Geographica Sinica,2011,31(10):1213-1220.
[5]宋岩,刘群昌,江培福.区域用水效率评价体系研究[J].节水灌溉,2013,(10):56-58.Song Yan,Liu Qunchang,Jing Peifu.Study on evaluation system of regional water use efficiency[J].Water Saving Irrigation,2013,(10):56-58.
[6]钱文婧,贺灿飞.中国水资源利用效率区域差异及影响因素研究[J].中国人口·资源与环境,2011,21(2):54-60.Qian Wenjing,He Canfei.China's regional difference of water resource use efficiency and influencing factors[J].China Population Resources and Environment,2011,21(2):54-60.
[7]廖虎昌,董毅明.基于DEA和Malmquist指数的西部12省水资源利用效率研究[J].资源科学,2011,33(2):273-279.Liao Huchang,Dong Yiming.Utilization efficiency of water resources in 12 western provinces of china based on the DEA and Malmquist TFP index[J].Resources Science,2011,33(2):273-279.
[8]马海良,黄德春,张继国,等.考虑非合意产出的水资源利用效率及影响因素研究[J].中国人口·资源与环境,2012,22(10):35-42.Ma Hailiang,Huang Dechun,Zhang Jiguo,et al.Water resource utility efficiency and its Influencing factors considering undesirable goods[J].China Population Resources and Environment,2012,22(10):35-42.
[9]姜楠.我国水资源利用相对效率的时空分异与影响因素研究[D].大连:辽宁师范大学,2009.Jiang Nan.The spatial-temporal difference of water resources utilization relative efficiency and influence factors in China[D].Dalian:Liaoning Normal University,2009.
[10]余维,江奎,赵远翔.我国工业用水效率研究进展[J].人民长江,2012,43(S2):70-74.Yu Wei,Wang Kui,Zhao Yuanxiang.The progress in study on industrial water use efficiency in China[J].Yangtze River,2012,43(S2):70-74.
[11]朱启荣.中国工业用水效率与节水潜力实证研究[J].工业技术经济,2007,26(9):48-51Zhu Qirong.An empirical study on industrial water use efficiency and water saving potential in China[J].Industrial Technology&Economy,2007,26(09):48-51.
[12]卞锦宇,刘恒,耿雷华,等.基于随机前沿生产函数的我国工业用水效率影响因素研究[J].水利经济,2014,32(5):69-71.Bian Jinyu,Liu Hen,Gen Leihua,et al.Study on the influence factors of industrial water use efficiency in China based on stochastic frontier production function[J].Journal of Economics of Water Resources,2014,32(5):69-71.
[13]孙爱军,董增川,王德智.基于时序的工业用水效率测算与耗水量预测[J].中国矿业大学学报,2007,36(4):547-553.Sun Aijun,Dong Zengchuan,Wang Dezhi.Prediction of technical efficiency and water consumption of industrial water in china based on time series[J].Journal of China University of Mining&Technology,2007,36(4):547-553.
[14]]刘虹利,左萍,王红瑞,等.北京市工业用水效率和工业增长空间差异性分析[J].北京师范大学学报(自然科学版),2013,49(2):199-204.Liu Hongli,Zuo Pin,Wang Hongrui,et al.Analysis on the spatial difference of industrial water use efficiency and industrial added value in Beijing[J].Journal of Beijing Normal University(Natural Science),2013,49(2):199-204.
[15]姜蓓蕾,耿雷华,卞锦宇,等.基于中国工业用水效率水平驱动因素分析及区划研究[J].资源科学,2014,36(11):2231-2239.Jiang Peilei,Geng Leihua,Bian Jingyu,et al.Driving factor analysis and the spatial regionalization on the industrial water use efficiency in China[J].Resources Science,2014,36(11):2231-2239.
[16]佟金萍,马剑锋,刘高峰,等.基于完伞分解模犁的中国万元GDP用水量变动及因素分析[J].资源科学,2011,33(10):1870-1876.Tong Jinping,Ma Jianfeng,Liu Gaofeng,et al.Analysis of variations and factors of water use amount per ten thousand yuan GDP in China based on a complete[J].Resources Science,2011,33(10):1870-1876.
[17]陈雯,王湘萍.我国工业行业的技术进步、结构变迁与水资源消耗-基于LMDI方法的实证分析[J].湖南大学学报(社会科学版),2011,25(2):68-72.Chen Wen,Wang Xiangping.Technology progress structure shift and water intensity in Chinese industry:An analysis based on LMDI method[J].Journal of Hunan University(Social Sciences),2011,25(2):68-72.
[18]Kaya Yoichi.Impact of carbon dioxide emission on GNP growth;interpretation of proposed scenarios[R].Paris;Presentation to the Energy and Industry Subgroup,Response Strategies Working Group,IPCC,1989.
[19]郭朝先.中国碳排放因素分解:基于LMDI分解技术[J].中国人口·资源与环境,2010,20(12):4-9.Guo Chaoxian.Decomposition of China's carbon emissions:based on LMDI method[J].China Population Resources and Environment,2010,20(12):4-9.
[20]Ang B W.Decomposition analysis for policy making in energy:Which is the preferred method?[J].Energy Policy,2004,(32):1131-1139.
[21]Ang B W,Liu N.Handling zero values in the logarithmic mean divisia index decomposition approach[J].Energy Policy,2007,35(1):238-246.
[22]Ang B W.The LMDI approach to decomposition analysis:a practical guide[J].Energy Policy,2005,(33):867-871.
[23]Liu Lancui,Fan Ying,Wu Gang,Wei Yiming.Using LMDI method to analyze the change of China's industrial C02emissions from final fuel use:An empirical analysis[J].Energy Policy,2007,35(11):5892-5900.