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Titlebook: Energy Demand in Industry; What Factors Are Imp Nabaz T Khayyat Book 2015 Springer Science+Business Media Dordrecht 2015 Cobb-Douglas produ

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發(fā)表于 2025-3-21 18:48:52 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Energy Demand in Industry
副標(biāo)題What Factors Are Imp
編輯Nabaz T Khayyat
視頻videohttp://file.papertrans.cn/311/310221/310221.mp4
概述Evaluates the structure of energy demand and its related risks in the industrial sectors.Covers important ways in which industries can reduce their energy consumption, applying stochastic production r
叢書(shū)名稱(chēng)Green Energy and Technology
圖書(shū)封面Titlebook: Energy Demand in Industry; What Factors Are Imp Nabaz T Khayyat Book 2015 Springer Science+Business Media Dordrecht 2015 Cobb-Douglas produ
描述.The book presents a stochastic analysis based on production risk and application of this method in the industrial sector under production risk where energy use is an input factor. Using South Korea as a case study, the book empirically models energy demand at the industrial level and analyzes the results to identify key determinants of energy demand, productions level, productions risk and energy usage efficiency..Particular attention is paid to the factors that enhance production risk or increase variations in energy input during production. A dynamic panel model is specified and applied to 25 Korean industrial sectors over the period 1970-2007. The determinants of energy usage are identified and their effects in the form of elasticities of energy usage are estimated. In addition the structural changes in the energy demand pattern are explored. Stochastic production technology is applied to create two primary models: A production model where the energy usage is a determinant of output and an energy demand model based on an inverted factor demand model where demand is a key determinant of the level of energy usage..The findings reveal that: First, there are large variations in the
出版日期Book 2015
關(guān)鍵詞Cobb-Douglas production function; Elasticities in Energy Demand Model; Energy Demand in industry; Energ
版次1
doihttps://doi.org/10.1007/978-94-017-9953-9
isbn_softcover978-94-024-0433-3
isbn_ebook978-94-017-9953-9Series ISSN 1865-3529 Series E-ISSN 1865-3537
issn_series 1865-3529
copyrightSpringer Science+Business Media Dordrecht 2015
The information of publication is updating

書(shū)目名稱(chēng)Energy Demand in Industry影響因子(影響力)




書(shū)目名稱(chēng)Energy Demand in Industry影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Energy Demand in Industry網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Energy Demand in Industry網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Energy Demand in Industry被引頻次




書(shū)目名稱(chēng)Energy Demand in Industry被引頻次學(xué)科排名




書(shū)目名稱(chēng)Energy Demand in Industry年度引用




書(shū)目名稱(chēng)Energy Demand in Industry年度引用學(xué)科排名




書(shū)目名稱(chēng)Energy Demand in Industry讀者反饋




書(shū)目名稱(chēng)Energy Demand in Industry讀者反饋學(xué)科排名




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Literature on Energy Demand,ficiency is hard to conceptualize and there is no single commonly accepted definition. From the literature, energy intensity at the national level is calculated as the ratio of energy use to GDP. This variable is often taken as a proxy for general energy efficiency in production. However, this aggre
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The Programming Language Pascal,oped a set of five-year plan for rational utilization of energy since 1993. A basic national energy plan covers 2008–2030 was announced in an attempt to reduce the energy use intensity by the end of 2030. This Chapter provides details about the energy consumptions in the industry sector and their de
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Software Process Automation in Perspective,ficiency is hard to conceptualize and there is no single commonly accepted definition. From the literature, energy intensity at the national level is calculated as the ratio of energy use to GDP. This variable is often taken as a proxy for general energy efficiency in production. However, this aggre
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1865-3529 e their energy consumption, applying stochastic production r.The book presents a stochastic analysis based on production risk and application of this method in the industrial sector under production risk where energy use is an input factor. Using South Korea as a case study, the book empirically mod
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發(fā)表于 2025-3-23 08:42:09 | 只看該作者
Tor Erlend F?gri,Svein Hallsteinsenrns to scale, (ii) There is a slight substitution pattern between energy and ICT capital, and (iii) There is a significant and positive impact of energy use on the production level in the South Korean industries.
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