能源技术经济
能源技術經濟
능원기술경제
ENERGY TECHNOLOGY AND ECONOMICS
2012年
7期
44-48
,共5页
居民生活用电%阶梯电价%家庭收入%日常消费支出%用电量%回归模型
居民生活用電%階梯電價%傢庭收入%日常消費支齣%用電量%迴歸模型
거민생활용전%계제전개%가정수입%일상소비지출%용전량%회귀모형
residential electricity comsumption%step pricing%household income%daily consumption expenditure%electricity consumption%regression model
实行居民生活阶梯电价是节约能源、保护环境及建立公平负担电价机制的重要途径,家庭收入、日常消费支出与用电量的关联关系是制定居民生活阶梯电价方案的重要依据。首先,针对居民的家庭月平均收入、家庭月平均消费支出及家庭月平均电费支出对天津市居民进行了抽样问卷调查并分2步对调查数据进行预处理;其次,运用绘制散点图的方法初步确定了家庭月平均收入、家庭月平均消费支出与家庭月平均用电量的正相关关系,并在此基础上分别建立了家庭月平均收入、家庭月平均消费支出与家庭月平均用电量的回归方程;最后,对所建立方程的有效性进行了统计检验。分析结果可为居民生活阶梯电价电量的分档以及各档电价水平的确定提供理论支持。
實行居民生活階梯電價是節約能源、保護環境及建立公平負擔電價機製的重要途徑,傢庭收入、日常消費支齣與用電量的關聯關繫是製定居民生活階梯電價方案的重要依據。首先,針對居民的傢庭月平均收入、傢庭月平均消費支齣及傢庭月平均電費支齣對天津市居民進行瞭抽樣問捲調查併分2步對調查數據進行預處理;其次,運用繪製散點圖的方法初步確定瞭傢庭月平均收入、傢庭月平均消費支齣與傢庭月平均用電量的正相關關繫,併在此基礎上分彆建立瞭傢庭月平均收入、傢庭月平均消費支齣與傢庭月平均用電量的迴歸方程;最後,對所建立方程的有效性進行瞭統計檢驗。分析結果可為居民生活階梯電價電量的分檔以及各檔電價水平的確定提供理論支持。
실행거민생활계제전개시절약능원、보호배경급건립공평부담전개궤제적중요도경,가정수입、일상소비지출여용전량적관련관계시제정거민생활계제전개방안적중요의거。수선,침대거민적가정월평균수입、가정월평균소비지출급가정월평균전비지출대천진시거민진행료추양문권조사병분2보대조사수거진행예처리;기차,운용회제산점도적방법초보학정료가정월평균수입、가정월평균소비지출여가정월평균용전량적정상관관계,병재차기출상분별건립료가정월평균수입、가정월평균소비지출여가정월평균용전량적회귀방정;최후,대소건립방정적유효성진행료통계검험。분석결과가위거민생활계제전개전량적분당이급각당전개수평적학정제공이론지지。
Residential Step Electricity Pricing is an important approach to energy conservation, environmental protection and construction of a fair-sharing electricity pricing mechanism, and the correlations between household income, daily consumption expenditure and power consumption is an important base for establishment of Residential Step Electricity Pricing. Firstly, this paper makes a sampling questionnaire survey of Tianjin residents in terms of average monthly household income, daily consumption expenditure and electricity consumption and makes a two-step pretreatment; secondly, a positive correlations between average monthly household income, daily consumption expenditure and electricity consumption is established initially by drawing scatter diagrams, on the basis of which two curve regression equations involving average monthly household income, daily consumption expenditure and electricity consumption are established; finally, the validity of the two equations is tested by statistics. The results of the study in the paper can provide a theoretical support for partition of the power consumption and determination of the corresponding pricing levels for Residential Step Electricity Pricing.