1) electric coal consumption
电煤消费
2) coal consumption
煤炭消费
1.
The causality relationships analysis of GDP among world main coal consumption countries;
世界主要煤炭消费国与其国家经济增长GDP关系分析
2.
Study on the application of ARIMA Model in forecasting China’s coal consumption;
ARIMA模型在煤炭消费预测中的应用分析
3.
Analysis of co-integration and causality between coal consumption and economic growth in China;
我国煤炭消费与经济增长关系的多变量协整分析
3) coal consumption
煤炭消费量
1.
The paper analysis correlativity between the total coal consumption and the main industry correlated with coal of our country,according to the data of the total coal consumption and every walk of life correlated with coal in our country in recent years.
根据近几年来我国煤炭消费总量和各行业煤炭消费数据,通过灰色关联度分析了我国煤炭消费总量与各主要行业煤炭消费量的相关关系。
2.
The comparison between coal consumption over 1995-2002 and the prediction show that the models enjoy a high precision and are practical,and the forecast results are reliable.
根据灰色系统理论,以1995-2002年重庆市煤炭消费量作为基础数据,建立了2个灰色预测模型。
4) electricity consumption
电力消费
1.
Characteristics of electricity consumption fluctuations in China;
我国电力消费波动特性研究
2.
Study of electricity consumption of daily life based on grey theory;
基于灰理论的居民生活电力消费预测研究
3.
An Analysis on the Relation between Electricity Consumption and Economic Growth in China;
电力消费与中国经济增长的关系分析
5) electric power consumption
电力消费
1.
Empirical analysis of the relationship between structural change,efficiency improvement and electric power consumption of China;
结构变化、效率改进与我国电力消费关系分析
2.
Improved gray relevent analysis of influencing factors evaluation in electric power consumption;
电力消费影响因素评价的改进灰色关联分析
3.
The influential factors of electric power consumption in Shaanxi Province are decomposed.
对陕西省电力消费的因素进行了分解,采用单位根、协整、误差修正模型等多种方法检验了不同因素对陕西省电力消费的影响,并对短期内电力消费的时间趋势做了预测。
6) power consumption
电力消费
1.
Forecast research on total power consumption in Heilongjiang province;
黑龙江省电力消费总量预测研究
2.
This paper analyzes the features of power consumption in China s production sector since 1980.
本文分析了改革开放以来我国生产部门电力消费的特点与规律,利用能源分解方法研究GDP、产业结构、能源强度、电气化水平等各种因素对电力消费的影响,并针对我国当前电力消费的主要特点及社会经济的可持续发展目标提出了相应的政策建议。
3.
By cointegration and vector error correction model method,long-term equilibrium relationships among power consumption and economic factors including GDP,the investment scale of fixed assets,population scale in China are analyzed.
利用协整分析与向量误差校正模型的研究结果,证明中国电力消费与GDP,固定资产投资,人口数量等经济因素间具有长期的均衡关系;依据电力消费与经济发展要素数据自身的变化规律,预测了中国“十一五”电力消费量;通过Granger因果关系,检验证明中国电力消费与GDP,固定资产投资之间具有双向且长期稳定的因果关系,从而解释了经济的高增长并非带来电力消费的高增长,为宏观调控与指导电力工业与国民经济的健康发展,提供了科学依据。
补充资料：煤炭国际贸易(见煤炭市场)
煤炭国际贸易(见煤炭市场)
international trade of coal:see coal market
煤炭国际贸易见煤炭市场。(international trade of eoal)
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条