Determinants and policy implications for household electricity-saving behaviour: Evidence from Beijing, China

Wang, Zhaohua; Zhang, Bin; Yin, Jianhua; Zhang, Yixiang

doi:10.1016/j.enpol.2011.03.055

Cited by 259 publications

(160 citation statements)

References 34 publications

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“…That is, in other words, the enrichment of conventional lighting bill, underlying the increase in the price of electricity has a positive effect on the purchase of energy-efficient lamps, (see Nair et al [35] and Wang et al [36] respectively for the case of Switzerland and China). Beyond that, the significance of this squared variable (square of the conventional lighting bill) implies that it has a non-linear effect.…”

Section: The Determinants Of the Adoption Of Energy-saving Bulbsmentioning

confidence: 97%

Household preferences for energy saving measures: Approach of discrete choice models

Jridi

Bargaoui

Nouri

2015

Energy and Buildings

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Section: The Determinants Of the Adoption Of Energy-saving Bulbsmentioning

confidence: 97%

Household preferences for energy saving measures: Approach of discrete choice models

Jridi

Bargaoui

Nouri

2015

Energy and Buildings

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“…SN of personal sustainable behaviors is possibly related to the collective requirements of participants. Research indicated that group norm, policy, and social norm presented better functions on sustainable behaviors (Knussen et al 2004;Wang et al 2011).…”

Section: Hypothesis Testing and Discussionmentioning

confidence: 99%

Design Framework of Household Appliance for Users’ Sustainable Behaviors

Cheng

Shih

2014

The Anthropologist

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Residential sectors consume one-fifth of global energy that all sectors have actively invested in the enhancement of residential energy efficiency. User behaviors could affect residential energy efficiency that it is regarded as a foresighted research to change unsustainable behaviors with product design. This study aims to discuss the psycho-social determinants in individual energy-saving behaviors and ensure the product design strategies and methods of the mapping determinants to reduce the difference between sustainable design intention and real product operation. With the mode for goal-directed behaviors to study the determinants in household appliance energy-saving behaviors, personal desire could directly affect energy-saving Behavioral Intention and individual Perceived Behavioral Control, Positive Anticipated Emotion, Attitude, and Frequency of Past Behavior would indirectly affect energy-saving behavioral intention through personal desire. The design strategies of ego-information, ego-feedback, and ego-selectivity are the best household appliance intervention design strategies in energy-saving behaviors. Based on the research results, a product designer could establish the mapping relation matrix between product design intervention strategy as the tactic, and psycho-social determinants in energy-saving behaviors as the objective to design the more practicable household appliance for sustainable behaviors.

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“…Sun et al [14] considered that governmental subsidies were not well targeted to promote development of RHB in China, mainly because most investment was directed towards construction rather than operation and maintenance of new systems. Due to poor operation, many RHB have been abandoned, representing a poor return on public investment [15,16].…”

Section: Environmental Performancementioning

confidence: 99%

Greenhouse Gas Mitigation of Rural Household Biogas Systems in China: A Life Cycle Assessment

et al. 2017

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Rural household biogas (RHB) systems are at a crossroads in China, yet there has been a lack of holistic evaluation of their energy and climate (greenhouse gas mitigation) efficiency under typical operating conditions. We combined data from monitoring projects and questionnaire surveys across hundreds of households from two typical Chinese villages within a consequential life cycle assessment (LCA) framework to assess net GHG (greenhouse gas) mitigation by RHB systems operated in different contexts. We modelled biogas production, measured biogas losses and used survey data from biogas and non-biogas households to derive empirical RHB system substitution rates for energy and fertilizers. Our results indicate that poorly designed and operated RHB systems in northern regions of China may in fact increase farm household GHG emissions by an average of 2668 kg·CO 2 -eq·year −1 , compared with a net mitigation effect of 6336 kg·CO 2 -eq per household and year in southern regions. Manure treatment (104 and 8513 kg·CO 2 -eq mitigation) and biogas leakage (−533 and −2489 kg·CO 2 -eq emission) are the two most important factors affecting net GHG mitigation by RHB systems in northern and southern China, respectively. In contrast, construction (−173 and −305 kg·CO 2 -eq emission), energy substitution (−522 emission and 653 kg·CO 2 -eq mitigation) and nutrient substitution (−1544 and −37 kg·CO 2 -eq emission) made small contributions across the studied systems. In fact, survey data indicated that biogas households had higher energy and fertilizer use, implying no net substitution effect. Low biogas yields in the cold northern climate and poor maintenance services were cited as major reasons for RHB abandonment by farmers. We conclude that the design and management of RHB systems needs to be revised and better adapted to local climate (e.g., digester insulation) and household energy demand (biogas storage and micro power generators to avoid discharge of unburned biogas). More precise nutrient management planning could ensure that digestate nutrients are more effectively utilized to substitute synthetic fertilizers.

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Determinants and policy implications for household electricity-saving behaviour: Evidence from Beijing, China

Cited by 259 publications

References 34 publications

Household preferences for energy saving measures: Approach of discrete choice models

Household preferences for energy saving measures: Approach of discrete choice models

Design Framework of Household Appliance for Users’ Sustainable Behaviors

Greenhouse Gas Mitigation of Rural Household Biogas Systems in China: A Life Cycle Assessment

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