Influencing Paths of the Behavior-Driven Household Energy-Saving Exploring the influencing paths of the behavior-driven household energy-saving intervention—Household Energy-Saving Option

2021 ◽  
Vol 71 ◽  
pp. 102951
Author(s):  
Qian Xu ◽  
Bon-Gang Hwang ◽  
Yujie Lu
2020 ◽  
Vol 28 (5) ◽  
pp. 1049-1062 ◽  
Author(s):  
Bindu Shrestha ◽  
Sushil B. Bajracharya ◽  
Martina M. Keitsch ◽  
Sudarshan R. Tiwari

2014 ◽  
Vol 9 (2) ◽  
pp. 183-203 ◽  
Author(s):  
Luísa Schmidt ◽  
Ana Horta ◽  
Augusta Correia ◽  
Susana Fonseca

In a time of economic crisis the need to adopt energy conservation practices comes to the fore. It is helpful to evaluate the role of young people as both consumers and potential agents of change bridging the gap between school and family to encourage lower household energy consumption. Based on two surveys of parents and students of a secondary school in Lisbon, plus in-depth interviews with parents, this article analyzes the complexity of this challenge, highlighting adults' perceptions of their children's contribution to energy saving. Results show that parents see young people as major energy consumers. Young people's engagement with electronic equipment as essential components of their lifestyles and their belief in technology as a solution to energy problems thwart them from being promoters of energy saving. In this context of scarcity, parents try to protect their children's well-being and opportunities in life by accepting their children's unrestricted energy use.


2013 ◽  
Vol 14 (3) ◽  
pp. 73-78
Author(s):  
Ravneet Kaur ◽  
Kanwaljit Kaur

The study was conducted in four blocks of Ludhiana district of Punjab state. The data were collected from 200 rural women with the help of interview schedule. A checklist of different household energy saving practices for use of electrical appliances was prepared by consulting the literature and subject matter specialists of Department of Family Resource Management, PAU, Ludhiana. Training needs of household energy saving practices through appropriate use of electrical appliances were analyzed by administrating the knowledge test. On basis of respondent’s knowledge scores, Training Needs Quotient (TNQ) values were calculated and accordingly training needs intensity (T N I) was divided in to three categories i.e. low, medium, and high. Higher side T N I value indicate that respondent need training in that particular area. Overall respondents had medium training need intensity regarding household energy saving practices through appropriate use of electrical appliances. Education and mass media exposure of rural women had negative and significant relationship with training needs intensity. Positive and significant relationship was observed between age and training needs intensity. There is need to provide the training among rural women in the sub- areas of energy saving practices through appropriate use of electrical appliances in which they had high and medium training needs intensity. Mass media had significant relationship with training needs, so it is suggested that mass media planners should include more programmes and articles regarding these energy saving practices through appropriate use of electrical appliances.


2013 ◽  
Vol 724-725 ◽  
pp. 951-954
Author(s):  
Xiang Qian Li

Per GDP energy consumption is the main indicator of district energy-saving effect. The Article firstly analyzed the influence factors of per GDP energy consumption. Then summarized energy-saving measures as six aspects: optimizing industrial structure; reducing energy intensity of industries; reducing per capita household energy consumption; limiting resident population; improving efficiency of energy conversion; improving energy storage and transportation management level. According to implementing body, energy-saving measures are divided into government measure and enterprise measure. District energy-saving measures mainly refer to the government measures. The selection course of district energy-saving measures is divided into five steps: initial prediction of per GDP energy consumption of term-end; analysis of measures of reducing industry energy intensity, per capita household energy consumption and energy loss; second prediction of per GDP energy consumption of term-end; compare with the target value; determination of district energy-saving measures.


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