Exploring reasons behind careful-use, energy-saving behaviours in residential sector based on the theory of planned behaviour: Evidence from Changchun, China

Nie, Hongguang; Vasseur, Véronique; Fan, Ying; Xu, Jin-Hua

doi:10.1016/j.jclepro.2019.05.101

Cited by 59 publications

(44 citation statements)

References 50 publications

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“…Meanwhile, subjective norms (SN) and perceived behavioral control (PBC) both have a positive impact on behavior intention (BI) [19]. Additionally, perceived behavioral control (PBC) also could regulate subjective norms (SN), and it would directly affect behavior (B) [29,30]. In general, perceived behavioral control (PBC) refers to an individual's perceived ability to control their own behavior under a given condition, such as past experiences, secondhand information, and management policies [17,29].…”

Section: Model Improvement and Hypothesesmentioning

confidence: 99%

Investigating Regional and Generational Heterogeneity in Low-Carbon Travel Behavior Intention Based on a PLS-SEM Approach

Zhao

et al. 2021

Sustainability

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This study aims at reviewing whether regional and generational differences exist in behavior intention to adopt low-carbon travel modes. Based on 759 questionnaires collected from three cities (Zhenjiang, Suzhou, and Shanghai) with different population sizes in China, we develop a modified theory of planned behavior (MTPB) model framework integrating low-carbon transport policies, psychological aspects, personal norms, and travel habits. A more advanced partial least-square method of structural equation model (PLS-SEM) and a multiple-group analysis (MGA) model are applied to estimate the effects and heterogeneities of these factors on low-carbon travel behavior intention among three cities and four age groups. The results show that the roles of low-carbon policies, subjective norms, and personal norms on behavior intention of adopting low-carbon travel modes are more salient. The effect of low-carbon policy on behavior is much weaker than it is on intention, and it does not follow that such intention will often be followed up with action. There is regional and generational heterogeneity in terms of the influence on low-carbon travel behavior intention. In particular, the benefits of low-carbon policies are more remarkable in the middle-sized city, young adult group, and pre-older adult group. The low-carbon travel behavior intention in the large-sized city, junior-middle adult group, and senior-middle adult group are affected by subjective norms more easily. The large-sized city and young adult group have better personal norms in favor of low-carbon travel. The findings could provide helpful insights into developing heterogeneous transport policies to encourage different travelers to switch from auto to low-carbon travel modes.

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Section: Model Improvement and Hypothesesmentioning

confidence: 99%

Investigating Regional and Generational Heterogeneity in Low-Carbon Travel Behavior Intention Based on a PLS-SEM Approach

Zhao

et al. 2021

Sustainability

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“…Regarding a focus on energy-saving behaviours and environmental friendly investments studies are rather sparse with the studies Wang et al ( 2011 ), Ru et al ( 2018 ), Cai et al ( 2019 ), Nie et al ( 2019 ) and Fang et al ( 2021 ) providing some of the few studies concerning Chinese inhabitants. Cai et al ( 2019 ), however, focusses solely on bicycle sharing and Fang et al ( 2021 ) on the existing attitude behaviour gap.…”

Section: Literature Review and Theoretical Backgroundmentioning

confidence: 99%

“…Considering the relevance of the residential sector in the overall energy consumption mix worldwide, but in particular in China the question can be raised about the relevance of environmental motivations in energy-saving behaviours and environmental friendly investments in China. In this regard this study aims to follow the design of the empirical study by Udalov et al ( 2017 ) detailed in Udalov ( 2019 ) that focused on Germany, the Netherlands and Belgium as well as the study by Nie et al ( 2019 ) with its focus on China the methodology adopted follows Vasseur et al ( 2019 ).…”

Section: Introductionmentioning

confidence: 99%

Motivations behind individuals’ energy efficiency investments and daily energy-saving behavior: The case of China

Perret

Udalov

Fabisch

2021

Int Econ Econ Policy

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The impact of environmental motivations on the individual’s decisions regarding investments in energy efficiency and the adoption of energy-saving habits are analyzed for a representative sample of Chinese inhabitants from the larger Beijing area, replicating a comparative study on Western Europe. For the considered type of energy efficiency investments and daily energy-saving activities similarities and discrepancies between the two regions are discussed in regard to their sociocultural background as well as governmental regulations. The study provides empirical evidence that for Chinese environmental issues if all only play a tertiary role after monetary and regulatory incentives. The findings could suggest that in China policy programs aimed at raising environmental awareness and forming pro-environmental motivations might not lead to an increase in energy efficiency investments and daily energy-saving activities and the Chinese government’s interests in this regard might be better served by implementing corresponding incentives via regulations. In the long-term. However, social peer pressure might affect a change in the Chinese mentality.

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“…PLS-SEM is deemed suitable for use in this work since the goal is directed toward distinguishing the interrelationships among extended TAM constructs concerning technology adoption. Correspondingly, PLS path modeling can be able to generate reliable results given the small sample size as compared to a complex model [94,95].…”

Section: Designmentioning

confidence: 99%

The Way of Expanding Technology Acceptance—Open Innovation Dynamics

Casquejo¹,

Himang

Ocampo

et al. 2020

Journal of Open Innovation: Technology, Market, and Complexity

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To promote efficient use of electrical energy, technology-based solutions, along with their corresponding user acceptance assessments, have been seen to facilitate goal fulfillment concerning desired functionality and expected benefits, in an open innovation fashion. This paper simultaneously develops an electrical energy consumption monitoring system (EECMS) device that shall monitor and control the use of energy in real-time and assesses its acceptability to users according to the extended technology acceptance model (TAM) approach. This proposed EECMS device is tested in an academic institution in the Philippines, and it is found that the device can function as desired as well as render a significant favor from its users according to additional key constructs. As such, future developments of the device are encouraged to enhance key constructs identified as suitable for future adoption.

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Exploring reasons behind careful-use, energy-saving behaviours in residential sector based on the theory of planned behaviour: Evidence from Changchun, China

Cited by 59 publications

References 50 publications

Investigating Regional and Generational Heterogeneity in Low-Carbon Travel Behavior Intention Based on a PLS-SEM Approach

Investigating Regional and Generational Heterogeneity in Low-Carbon Travel Behavior Intention Based on a PLS-SEM Approach

Motivations behind individuals’ energy efficiency investments and daily energy-saving behavior: The case of China

The Way of Expanding Technology Acceptance—Open Innovation Dynamics

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