Promoting energy conservation in China's iron & steel sector
暂无分享,去创建一个
[1] N. Metropolis,et al. The Monte Carlo method. , 1949 .
[2] G. Boyd,et al. Estimating the linkage between energy efficiency and productivity , 2000 .
[3] P. Phillips,et al. Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? , 1992 .
[4] Jiuju Cai,et al. Calculating Method for Influence of Material Flow on Energy Consumption in Steel Manufacturing Process , 2007 .
[5] Feng He,et al. Energy efficiency and productivity change of China’s iron and steel industry: Accounting for undesirable outputs , 2013 .
[6] L. Hằng,et al. The impacts of energy prices on energy intensity: Evidence from China , 2007 .
[7] Mohamed Moubarak,et al. Estimation of energy saving potential in China's paper industry , 2014 .
[8] Yemane Wolde-Rufael,et al. Bounds test approach to cointegration and causality between nuclear energy consumption and economic growth in India , 2010 .
[9] David F. Hendry,et al. Explaining Cointegration Analysis: Part II , 2000 .
[10] C. Granger,et al. Co-integration and error correction: representation, estimation and testing , 1987 .
[11] Chen Mingsheng,et al. The Mechanism and Measures of Adjustment of Industrial Organization Structure: the Perspective of Energy Saving and Emission Reduction , 2011 .
[12] Li Li,et al. Integrated technology selection for energy conservation and PAHs control in iron and steel industry: Methodology and case study , 2013 .
[13] Stelios Rozakis,et al. Micro-economic modelling of biofuel system in France to determine tax exemption policy under uncertainty , 2005 .
[14] Alok Kumar. Energy Intensity: A Quantitative Exploration for Indian Manufacturing , 2003 .
[15] M. Patterson. What is energy efficiency?: Concepts, indicators and methodological issues , 1996 .
[16] Zhancheng Guo,et al. Current situation of energy consumption and measures taken for energy saving in the iron and steel industry in China , 2010 .
[17] Aie,et al. Tracking Industrial Energy Efficiency and CO2 Emissions , 2007 .
[18] Ali Hasanbeigi,et al. Analysis of energy-efficiency opportunities for the cement industry in Shandong Province, China: A case study of 16 cement plants , 2010 .
[19] Ernst Worrell,et al. Energy efficiency and carbon dioxide emissions reduction opportunities in the US iron and steel sector , 2001 .
[20] Iain MacGill,et al. A Monte Carlo based decision-support tool for assessing generation portfolios in future carbon constrained electricity industries , 2012 .
[21] C. Wang,et al. Scenario analysis on CO2 emissions reduction potential in China's electricity sector , 2007 .
[22] Li Zhang,et al. Estimates of the potential for energy conservation in the Chinese steel industry , 2011 .
[23] Peter J. Spinney,et al. Monte Carlo simulation techniques and electric utility resource decisions , 1996 .
[24] Wenjia Cai,et al. Sectoral analysis for international technology development and transfer: Cases of coal-fired power generation, cement and aluminium in China , 2009 .
[25] Can Wang,et al. Scenario analysis on CO2 emissions reduction potential in China's iron and steel industry , 2007 .
[26] Ratna Choudhury,et al. Energy inefficiency of indian steel industry --scope for energy conservation , 1997 .
[27] S. Johansen. Likelihood-Based Inference in Cointegrated Vector Autoregressive Models , 1996 .
[28] Bruno Larue,et al. The market efficiency hypothesis: The case of coffee and cocoa futures , 1997 .
[29] G. Müller-Fürstenberger,et al. Integrated assessment of global climate change with learning-by-doing and energy-related research and development , 2007 .
[30] W. Fuller,et al. Distribution of the Estimators for Autoregressive Time Series with a Unit Root , 1979 .
[31] Boqiang Lin. Electricity demand in the People's Republic of China : investment requirement and environmental impact , 2003 .
[32] Kankana Mukherjee,et al. Energy use efficiency in the Indian manufacturing sector: An interstate analysis , 2008 .
[33] Zongguo Wen,et al. Estimates of the potential for energy conservation and CO2 emissions mitigation based on Asian-Pacific Integrated Model (AIM): the case of the iron and steel industry in China , 2014 .
[34] Jan Szargut,et al. Exergy Analysis of Thermal, Chemical, and Metallurgical Processes , 1988 .
[35] Jianling Zhang,et al. Energy saving technologies and productive efficiency in the Chinese iron and steel sector , 2008 .
[36] Robert K. Kaufmann,et al. A biophysical analysis of the energy/real GDP ratio: implications for substitution and technical change , 1992 .
[37] Mounir Belloumi,et al. Energy consumption and GDP in Tunisia: Cointegration and causality analysis , 2009 .
[38] Tengfang Xu,et al. A bottom-up model to estimate the energy efficiency improvement and CO2 emission reduction potentials in the Chinese iron and steel industry , 2013 .
[39] Boqiang Lin,et al. China's energy demand and its characteristics in the industrialization and urbanization process , 2012 .
[40] P. Phillips. Testing for a Unit Root in Time Series Regression , 1988 .
[41] S. Johansen,et al. MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE ON COINTEGRATION — WITH APPLICATIONS TO THE DEMAND FOR MONEY , 2009 .
[42] Alan Meier,et al. SUPPLY CURVES OF CONSERVED ENERGY FOR CALIFORNIA'S RESIDENTIAL SECTOR , 1982 .
[43] D. F. Stewart,et al. Technical efficiency and productivity change of China's iron and steel industry , 2002 .
[44] P. Howie,et al. Electricity demand in Kazakhstan , 2007 .
[45] Michael Osterwald-Lenum. A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics , 1992 .
[46] Chaoqing Yuan,et al. Research on energy-saving effect of technological progress based on Cobb-Douglas production function , 2009 .
[47] Ernst Worrell,et al. Productivity benefits of industrial energy efficiency measures , 2003 .
[48] Ernst Worrell,et al. Potentials for energy efficiency improvement in the US cement industry , 2000 .