留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

天然气需求价格弹性研究综述

李兰兰,诸克军,杨娟

downloadPDF
李兰兰, 诸克军, 杨娟. 天然气需求价格弹性研究综述[J]. bob手机在线登陆学报(社会科学版), 2012, (6): 22-31.
引用本文: 李兰兰, 诸克军, 杨娟. 天然气需求价格弹性研究综述[J]. bob手机在线登陆学报(社会科学版), 2012, (6): 22-31.
LI Lanlan, ZHU kejun, YANG juan. Literature Review on Natural Gas Demand Price Elasticity[J]. Journal of Beijing Institute of Technology (Social Sciences Edition), 2012, (6): 22-31.
Citation: LI Lanlan, ZHU kejun, YANG juan. Literature Review on Natural Gas Demand Price Elasticity[J].Journal of Beijing Institute of Technology (Social Sciences Edition), 2012, (6): 22-31.

天然气需求价格弹性研究综述

基金项目:

国家自然科学基金资助项目(71173202)

Literature Review on Natural Gas Demand Price Elasticity

  • 摘要:天然气需求价格弹性对天然气需求的估计及价格的确定有着重要的影响作用。对天然气需求价格弹性估计模型进行总结, 给出短期弹性和长期弹性的估计过程;并分别对天然气工业用户和居民用户需求价格弹性的国内外研究进行了详细的综述, 认为:(1)一般而言, 天然气自价格弹性为负值, 且工业用户的自价格弹性大于居民用户的自价格弹性。(2)对于各类用户, 天然气长期价格弹性的绝对值都大于短期价格弹性的绝对值。(3)替代能源与天然气的交叉价格弹性为正值, 但是都较小。
  • [1] 贺永德. 天然气应用技术手册[M]. 北京: 化学工业出版社, 2009.
    [2] BP公司. BP世界能源统计年鉴2011[M/OL].(2011-06)[20120-03-22]. www.bp.com/statisticalreview.
    [3] Houthakker H S, Taylor L E D. Consumer demand in the United States:1929—1970[M]. Cambridge: Harvard University Press, 1966.
    [4] BOHI D R. Analyzing demand behavior: a study of energy elasticities[M]. Johns Hopkins University Press, Baltimore, MD, 1981.
    [5] Bohi D R A M. An update on econometric studies of energy demand behavior[J]. Annual Review of Energy, 1984(9):105-154.
    [6] Lowe R. A theoretical analysis of price elasticity of energy demand in multi-stage energy conversion systems[J]. Energy Policy, 2003, 31(15):1699-1704.
    [7] Abdel-Khalek G. Income and price elasticities of energy consumption in Egypt: a time-series analysis[J]. Energy Economics, 1988, 10(1):47-58.
    [8] LIU B. Natural gas price elasticities: variations by region and by sector in the USA[J]. Energy Economics, 1983, 5(3):195-201.
    [9] Bentzen J, Engsted T. Short- and long-run elasticities in energy demand: a cointegration approach[J]. Energy Economics, 1993, 15(1):9-16.
    [10] Türkekul B, Unakitan G. A co-integration analysis of the price and income elasticities of energy demand in Turkish agriculture[J]. Energy Policy, 2011, 39(5):2416-2423.
    [11] Koetse M J, de Groot H L F, FLORAX R J G M. Capital-energy substitution and shifts in factor demand: a meta-analysis[J]. Energy Economics, 2008, 30(5):2236-2251.
    [12] Madlener R. Econometric analysis of residential energy demand[J]. Journal of Energy Literature, 1996, 11(2):3-32.
    [13] Houthakker H S. Residential electricity revisited[J]. Energy Journal, 1980, 1(1):29-41.
    [14] 危慧惠. 理性预期和适应性预期股价模型的比较研究[J]. 技术经济与管理研究, 2004(6):45-46.
    [15] 顾六宝, 么海亮. 适应性预期消费模型的内生化改进[J]. 统计与决策, 2010(11):24-26.
    [16] Andersen T B, Nilsen O B, Tveteras R. How is demand for natural gas determined across European industrial sectors?[J]. Energy Policy, 2011, 39(9):5499-5508.
    [17] Dagher L. Natural gas demand at the utility level: an application of dynamic elasticities[J]. Energy Economics, 2012, 34(4):961-969.
    [18] Griffin J M. Inter-fuel substitution possibilities: a translog application to intercountry data[J]. International Economic Review, 1977(18):755-770.
    [19] Uri N D. Interfuel substitution possibilities: short-term prospects[J]. Applied Energy, 1978, 4(4):251-260.
    [20] Pindyck R S. Interfuel substitution and the industrial demand for energy: an international comparison[J]. The Review of Economics and Statistics, 1979(61):169-179.
    [21] Considine T J. Separability, functional form and regulatory policy in models of interfuel substitution[J]. Energy Economics, 1989, 11(2):82-94.
    [22] Jones C T. A dynamic analysis of interfuel substitution in U. S. industrial energy demand[J]. Journal of Business & Economic Statistics, 1995(13):459-465.
    [23] Urga G. An application of dynamic specifications of factor demand equations to interfuel substitution in US industrial energy demand[J]. Economic Modelling, 1999, 16(4):503-513.
    [24] Urga G, Walters C. Dynamic translog and linear logit models: a factor demand analysis of interfuel substitution in US industrial energy demand[J]. Energy Economics, 2003, 25(1):1-21.
    [25] Renou-Maissant P. Interfuel competition in the industrial sector of seven OECD countries[J]. Energy Policy, 1999, 27(2):99-110.
    [26] Serletis A, Timilsina G R, VASETSKY O. Interfuel substitution in the United States[J]. Energy Economics, 2010, 32(3):737-745.
    [27] Fuss M A. The demand for energy in Canadianmanufacturing: an example of the estimation of production structures with many inputs[J]. Journal of Econometrics, 1977, 5(1):89-116.
    [28] Siddayao C M, Khaled M, Ranada J G, et al. Estimates of energy and non-energy elasticities in selected Asian manufacturing sectors: Policy implications[J]. Energy Economics, 1987, 9(2):115-128.
    [29] Barnett A H, Reutter K, Thompson H. Electricity substitution: some local industrial evidence[J]. Energy Economics, 1998, 20(4):411-419.
    [30] Thompson H. The applied theory of energy substitution in production[J]. Energy Economics, 2006, 28(4):410-425.
    [31] Arnberg S, Bjørner T B. Substitution between energy, capital and labour within industrial companies: a micro panel data analysis[J]. Resource and Energy Economics, 2007, 29(2):122-136.
    [32] Kander A, Schön L. The energy—capital relation—Sweden 1870—2000[J]. Structural Change and Economic Dynamics, 2007, 18(3):291-305.
    [33] Ma H, Oxley L, GIBSON J, et al. China’s energy economy: technical change, factor demand and interfactor/interfuel substitution[J]. Energy Economics, 2008, 30(5):2167-2183.
    [34] Travaglini G. Trade-off between labor productivity and capital accumulation in Italian energy sector[J]. Journal of Policy Modeling, 2012, 34(1):35-48.
    [35] Maddala G S, Trost R P, Li H, et al. Estimation of short-run and long-run elasticities of energy demand from panel data using shrinkage estimators[J]. Journal of Business & Economics Statistics, 1997, 15(1):90-100.
    [36] Rehdanz K. Determinant楳渠慯?戠慲獥敳摩?潥湮?捩潡浬瀠畳瑰慡扣汥攠?来敡湴敩牮慧氠?數煰略楮汤楩扴牵楲略浳?浩潮搠敇汥?慭湡慮汹祛獊楝献嬠?嵮???湹攠牅杣祯???ど???????祝????ㄨ????财???戸爲?嬼??崾??氷扝攠牎楩湬楳?????慂測猠?坳??噥攠汆攬稠??潥灴敥穲????刮攠獎楡摴敵湲瑡楬愠汧?捳漠湤獥畭浡灮瑤椠潩湮?潴晨?朠慅獵?慯湰摥?敮氠敨捯瑵牳楥捨楯瑬祤?楳湥?瑴桯敲?啊?匮??瑨桥攠?牮潥汲敧?漠晊?灵牲楮捡敬猬?愲渰搰?椨渲挹漩洺攲嬷?崴???湢敲爾杛礳??挠澯湯漬洠椠挹猬???ゆ?ㄠ??????????る??????抐牛?孝??崩?圔日猚琬氠攲礰‰?????吱栲攰?爱攲瀲漮爼瑢?猾畛洳洹慝爠楍穥敩獥?愠湈搬?慒湥慨汤祡穮敺猠?氮椠瑄敥牴慥瑲畭物敮?潮湴?琠桯敦?摲敥浳慩湤摥?晴潩牡?攠汳数捡瑣牥椠捨楥瑡祴?楮湧??慸瑰楥湮??浴敵牲楥捳愠孩剮崠???湡瑴攠牂??浴敡物楮捛慊湝??故癮敥汲潧灹洠故湣瑯??慭湩正??圠愲猰栱椰測朠琳漲渨??????唭渹椵琹攮搼?卲琾慛琴攰獝????潯桧湤獵??漮瀠歎楡湴獵?啡湬椠癧??倠牤敥獭獡???慩汮琠楔浵潲牫敥??????啁湰楰瑬敩摥?匠瑅慮瑥敲獧??????日??戸爷?嬱??崲??愭爲挱椹愮??敲爾牛甴琱瑝椠???????獡瑩楳浳慡瑮楴渠材?攠汉慮獴瑥楲捦極瑥楬攠獣?潭晰?牴敩獴楩摯敮渠瑩楮愠汴?敥渠敩牮杤祵?摴敲浩慡湬搠?晥牣潴浯?瀠慯湦攠汳?捶潥畮渠瑏祅?摄愠瑣慯?畮獴楲湩来?摛祊湝愮洠楅据?牲慧湹搠潐浯?癩慣特椬愠戱氹改猹?洠漲搷攨氲猩?眹椹琭栱?栰攮琼敢牲漾獛欴攲摝愠珦瑯榳挮?懶渮搂?挭漵狏爵旷氹愧瓻数搆?敛牄牝漮爠?琥攺爩津猧学?崠?‰到攴献漼畢牲挾敛?愳湝搠??湰敥特朠祊??挬漠湅潳浰楥捹猠??㈠ごふひ?????????????????扳爺?孡??嵥??愭癡?湡???噩???慦氠敲?????慮湴敩浡慬渠湥????敲瑩?慩汴??呤桥敭?楮浤瀠慥捬瑡?潴晩?灩牴楩捥敳?潊湝?爠敊獯極摲敮湡瑬椠慯汦?摁敧浲慩湣摵?晴潵牲?敬氠敡据瑤爠楁捰楰瑬祩?慤渠摅?湯慮瑯畭物慣汳?朠愲猰嬰?崬?″?氨椱洩愺琶椵挭??栮愼湢杲放??名そㄠ????び??ㄠ??ㄠ??????? W. Household electricity demand, revisited[J]. Review of Economic Studies, 2005, 72(3):853-858.
    [37] Narayan P K, Smyth R. The residential demand for electricity in Australia: an application of the bounds testing approach to cointegration[J]. Energy Policy, 2005, 33(4):467-474.
    [38] Narayan P K. Are G7 per capita real GDP levels non-stationary, 1870—2001[J]. Japan and The World Economy, 2007, 19(3):374-379.
    [39] Amarawickrama H A, Hunt L C. Electricity demand for Sri Lanka: a time series analysis[J]. Energy, 2008, 33(5):724-739.
    [40] Hosoe N, Akiyama S. Regional electric power demand elasticities of Japan's industrial and commercial sectors[J]. Energy Policy, 2009, 37(11):4313-4319.
    [41] Athukorala P P A W, Wilson C. Estimating short and long-term residential demand for electricity: New evidence from Sri Lanka[J]. Energy Economics, 2010, 32, Supplement 1(0):S34-S40.
    [42] Bernard J, Bolduc D, Yameogo N. A pseudo-panel data model of household electricity demand[J]. Resource and Energy Economics, 2011, 33(1):315-325.
    [43] He Y X, Yang L F, He H Y, et al. Electricity demand price elasticity in Ch
  • [1] 徐翔, 余珺君.从个体茧房到公共茧房:社交网络内容生产中用户“茧房”趋同引力 ——基于BERT模型的新浪微博样本研究. bob手机在线登陆学报(社会科学版), 2022, (): -.
    [2] 涂艳, 崔智斌, 蒋楚钰.基于用户细分的社会化问答社区知识贡献激励机制研究. bob手机在线登陆学报(社会科学版), 2022, 24(3): 154-167.doi:10.15918/j.jbitss1009-3370.2022.2741
    [3] 徐翔.微博媒介使用中的用户趋同化现象与路径. bob手机在线登陆学报(社会科学版), 2021, 23(6): 176-187.doi:10.15918/j.jbitss1009-3370.2021.2698
    [4] 刘崇光, 刘浪.价格随机条件下的闭环供应链应急数量弹性契约. bob手机在线登陆学报(社会科学版), 2020, 22(2): 50-59.doi:10.15918/j.jbitss1009-3370.2020.7955
    [5] 李静, 张玉林.考虑用户信息水平与参照价格的平台定价策略. bob手机在线登陆学报(社会科学版), 2019, (6): 90-96.doi:10.15918/j.jbitss1009-3370.2019.2991
    [6] 史文强, 刘浪, 汪明月, 李文川.价格随机和销售成本信息不对称下的应急数量弹性契约. bob手机在线登陆学报(社会科学版), 2018, (4): 120-127.doi:10.15918/j.jbitss1009-3370.2018.3423
    [7] 邵明星, 范静.企业用户云服务技术选择行为. bob手机在线登陆学报(社会科学版), 2018, (3): 80-89.doi:10.15918/j.jbitss1009-3370.2018.3558
    [8] 肖建忠, 赵银玲.中国液化天然气进口流量与贸易潜力——基于贸易引力模型. bob手机在线登陆学报(社会科学版), 2016, (5): 16-23.doi:10.15918/j.jbitss1009-3370.2016.0503
    [9] 田家华, 田时中, 赵鹏大.减排约束下中国天然气供需安全评价:2006-2014年. bob手机在线登陆学报(社会科学版), 2016, (2): 22-29.doi:10.15918/j.jbitss1009-3370.2016.0205
    [10] 张炎治, 魏晓平, 冯颖.中国矿产资源利益分配研究综述及展望——基于政府与企业视角. bob手机在线登陆学报(社会科学版), 2015, (5): 46-49.doi:10.15918/j.jbitss1009-3370.2015.0506
    [11] 张希栋, 张晓.行政垄断、政府管制与产业绩效——对天然气开采业的一般均衡分析. bob手机在线登陆学报(社会科学版), 2015, (6): 38-45.doi:10.15918/j.jbitss1009-3370.2015.0605
    [12] 许民利, 周依.基于行为运作的供应链牛鞭效应研究综述. bob手机在线登陆学报(社会科学版), 2013, (5): 43-51.
    [13] 孔慧珍, 孔昭君.民用工业动员基础的内涵及构成. bob手机在线登陆学报(社会科学版), 2012, (2): 89-92,99.
    [14] 曾春媛, 潘云海.知识溢出的测度模型研究综述. bob手机在线登陆学报(社会科学版), 2012, (1): 20-26.
    [15] 冯颖, 张炎治.销售价格影响需求的易变质产品动态定价模型. bob手机在线登陆学报(社会科学版), 2012, (5): 6-10.
    [16] 诸克军, 李兰兰, 龚承柱.天然气工业用户峰谷分时定价多目标优化模型. bob手机在线登陆学报(社会科学版), 2012, (1): 9-14.
    [17] 张纪海, 鄂继明.天然气动员研究. bob手机在线登陆学报(社会科学版), 2010, (6): 72-77.
    [18] 黄石.基于用户交互体验的游戏性评估. bob手机在线登陆学报(社会科学版), 2010, (4): 102-104.
    [19] 陈宋生, 魏素艳.基于应用软件公司ERP 用户效益的实证研究. bob手机在线登陆学报(社会科学版), 2008, (4): 7-11.
    [20] 李婷.天然气管道项目融资风险研究. bob手机在线登陆学报(社会科学版), 2005, (3): 77-79.
  • 加载中
计量
  • 文章访问数:1104
  • HTML全文浏览量:2
  • PDF下载量:41
  • 被引次数:0
出版历程
  • 收稿日期:2012-05-29
  • 刊出日期:2012-11-29

天然气需求价格弹性研究综述

    基金项目:

    国家自然科学基金资助项目(71173202)

摘要:天然气需求价格弹性对天然气需求的估计及价格的确定有着重要的影响作用。对天然气需求价格弹性估计模型进行总结, 给出短期弹性和长期弹性的估计过程;并分别对天然气工业用户和居民用户需求价格弹性的国内外研究进行了详细的综述, 认为:(1)一般而言, 天然气自价格弹性为负值, 且工业用户的自价格弹性大于居民用户的自价格弹性。(2)对于各类用户, 天然气长期价格弹性的绝对值都大于短期价格弹性的绝对值。(3)替代能源与天然气的交叉价格弹性为正值, 但是都较小。

English Abstract

李兰兰, 诸克军, 杨娟. 天然气需求价格弹性研究综述[J]. bob手机在线登陆学报(社会科学版), 2012, (6): 22-31.
引用本文: 李兰兰, 诸克军, 杨娟. 天然气需求价格弹性研究综述[J]. bob手机在线登陆学报(社会科学版), 2012, (6): 22-31.
LI Lanlan, ZHU kejun, YANG juan. Literature Review on Natural Gas Demand Price Elasticity[J]. Journal of Beijing Institute of Technology (Social Sciences Edition), 2012, (6): 22-31.
Citation: LI Lanlan, ZHU kejun, YANG juan. Literature Review on Natural Gas Demand Price Elasticity[J].Journal of Beijing Institute of Technology (Social Sciences Edition), 2012, (6): 22-31.
参考文献 (43)

目录

    /

      返回文章
      返回
        Baidu
        map