Does haze pollution promote the consumption of energy-saving appliances in China? An empirical study based on norm activation model

Song, Yan; Zhao, Chen; Zhang, Ming

doi:10.1016/j.resconrec.2019.02.041

Cited by 111 publications

(60 citation statements)

References 54 publications

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“…Scholars usually extend the norm activation model from two different perspectives, such as by introducing additional antecedents of personal norms and incorporating the external elements. In previous studies, the NAM model was extended by perceived consumer effectiveness [26,53] and environmental concern as an antecedent of the personal norm [26]. Moreover, NAM is also augmented by adding perceived behavioral control as an antecedent of the personal norm to study and understand consumer behavior [54].…”

Section: Norm Activation Model (Nam)mentioning

confidence: 99%

“…Essentially, NAM postulates that pro-environmental behavior is predicted by personal norms [25]. Researchers in pro-environmental behavior agreed that personal norms are activated by four factors: aspiration of responsibility (AR), awareness of consequences (AC), environmental concerns (EC) and perceived consumer effectiveness (PCE) [26]. Personal norms are significant predictors of pro-environmental behavior [27,28].…”

Section: Introductionmentioning

confidence: 99%

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Determining the Influencing Factors of Biogas Technology Adoption Intention in Pakistan: The Moderating Role of Social Media

Wang

Ali

Akbar

et al. 2020

IJERPH

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Environmental degradation and rapid climate change have forced researchers and practitioners to find sustainable practices to save the world. Increasing energy demand is not only consuming scarce natural resources, but also damaging the climate and overall ecosystem. In this regard, biogas technology is beneficial in two ways—by meeting the energy demand and saving natural resources. Pakistan is an agricultural country and has a high potential for producing energy through biogas technology. Therefore, this study aims to find farmers’ intentions of adopting biogas technology in Pakistan by employing the extended norm activation model. Furthermore, the moderating role of social media was explored. Purposive sampling was used to collect data from farmers and results were extracted by using Partial least square structural equation modelling software. The results suggest that awareness of consequences, ascription of responsibility, environmental concern and perceived consumer effectiveness positively and significantly influence personal norms of the farmers. Consequently, personal norms affect farmers’ intentions of adopting biogas technology in Pakistan. The moderating role of social media was also confirmed by the results. This study considers the notable insights of biogas technology adoption in Pakistan. Finally, the limitations of the study and suggestions for future research are discussed.

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Section: Norm Activation Model (Nam)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Determining the Influencing Factors of Biogas Technology Adoption Intention in Pakistan: The Moderating Role of Social Media

Wang

Ali

Akbar

et al. 2020

IJERPH

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“…Especially in studies on green consumption, scholars found the relationship between attitude and intention to be significantly positive. This includes the intention to purchase battery electric vehicles [18], energy-saving appliances [20], and organic foods [33]. Afroz et al [34] found that attitude has a positive effect on consumers' purchasing intentions towards environmentally friendly vehicles.…”

Section: Attitudementioning

confidence: 99%

“…(ATT2) -Green consumption belongs to low-carbon behaviour. (ATT3) [16,18] Perceived behavioural control (PBC) [16,33] Environmental concern (EC) -I will be angry seeing [20,[79][80][81] Habits (HAB) -I used to purchase energy-saving appliances. (HAB1) -I used to purchase goods with eco-labels.…”

Section: Appendix a Measurement Itemsmentioning

confidence: 99%

“…Firstly, the term 'environmental concern' is derived from political discourse and refers to the values, attitudes, emotions, conceptions, knowledge, and behavior associated with the environment [16]. Previous studies show that environmental concern has also become an important variable to study purchasing intention [5,20], and as a psychological factor, also affects consumers' attitudes, perceived behavioural control, and subjective norms [16]. Environmental concerns have a significant influence on purchasing intentions and are closely associated with the level of education and the publicity given to environmental protection knowledge.…”

Section: Introductionmentioning

confidence: 99%

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Residents’ Green Purchasing Intentions in a Developing-Country Context: Integrating PLS-SEM and MGA Methods

Wang

Sun

et al. 2019

Sustainability

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This paper aims to examine the determinants of green purchasing intentions among different resident groups in a developing-country context. We first expand the theory of planned behaviour (TPB) and build a theoretical model based on green purchasing intention, including attitude, perceived behavioural control, subjective norms, environmental concern, habit, and socio-demographic characteristics (i.e., age, gender, residential area, and educational level). Following this, we collect 552 questionnaires from residents in Tianjin Municipality, China. We use partial least squares structural equation modelling (PLS-SEM) to analyse the green purchasing intention of the population sample and then employ a multi-group analysis (MGA) to explore the group differences in residents' green purchasing intention. The results show that green purchasing intention is significantly and positively influenced by attitude, perceived behavioural control, subjective norms, and environmental concern but not by habit. The relationship chain of environmental concern→subjective norms→purchasing intention is the strongest. The results of the MGA show that for residential-area groups, the relationships between attitudes, perceived behavioural control, and habits and purchasing intention differ significantly between the downtown group and the outside-the-city group. For the educational-level groups, the relationship between environmental concern and subjective norms differs significantly between the high-education group and the low-education group. Finally, these findings contribute to the literature on the TPB model on green purchasing intention and provide some suggestions for the local government and green marketers.

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Drivers of green apparel consumption: Digging a little deeper into green apparel buying intentions

et al. 2023

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The apparel industry's sustainability is gaining scholars' attention amidst increasing concerns about its environmental impacts. However, to ensure that the industry's efforts in environmental preservation succeed, it is crucial to identify the factors that can positively influence consumers' purchase or buying intentions for green apparel. However, at present, this topic is relatively understudied. Assimilating the norm activation model (NAM) and the stimulus–organism–response (SOR), we investigate economic, cognitive and ecological factors as antecedents to consumers' green apparel buying intentions. Additionally, we adapt the model to consider consumers' knowledge about apparel production as a moderator. Empirically analysing data from 478 apparel consumers from the USA through structural equation modelling, we found significant roles for affordance, ecological concerns and ascription of responsibility as stimuli influencing an individual's cognitive state through green self‐efficacy, green attitude and personal norms. The latter, in turn, affects the individual's buying intentions. Our findings entail several suggestions to help scholars, policymakers and business managers positively influence consumers to make green purchase decisions. We contribute significantly to the literature by explaining the nuances of driving factors that promote green apparel buying, and practitioners can leverage them to devise appropriate strategic tactics supporting such consumption practices.

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Does haze pollution promote the consumption of energy-saving appliances in China? An empirical study based on norm activation model

Cited by 111 publications

References 54 publications

Determining the Influencing Factors of Biogas Technology Adoption Intention in Pakistan: The Moderating Role of Social Media

Determining the Influencing Factors of Biogas Technology Adoption Intention in Pakistan: The Moderating Role of Social Media

Residents’ Green Purchasing Intentions in a Developing-Country Context: Integrating PLS-SEM and MGA Methods

Drivers of green apparel consumption: Digging a little deeper into green apparel buying intentions

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