Determinants affecting residents’ waste classification intention and behavior: A study based on TPB and A-B-C methodology

Zhang, Shengli; Hu, Daiyan; Lin, Tongyu; Li, Wei; Zhao, Rui; Yang, Hongwei; Pei, Yanbo; Jiang, Lei

doi:10.1016/j.jenvman.2021.112591

Cited by 81 publications

(59 citation statements)

References 34 publications

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“…The influence paths of internal motivations and external contexts are investigated on different sustainable consumption behaviors. Meanwhile, the validity of the TPB-ABC integrated model as a research model to explain consumers' sustainable consumption behavior is confirmed, which is in line with the conclusion of previous studies [31,32,34].…”

Section: Discussionsupporting

confidence: 87%

“…A growing number of scholars attribute consumer behavior to the combined influence of internal motivations and external contexts, and the TPB-ABC integration model has emerged [31,32]. Wang et al [33] explored the positive effects of policy instruments, as external contexts, on attitudes and environmental behavior by analyzing the results of a questionnaire survey of 1145 residents in Shanghai.…”

Section: The Tpb-abc Integration Modelmentioning

confidence: 99%

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Internal Motivations, External Contexts, and Sustainable Consumption Behavior in China—Based on the TPB-ABC Integration Model

Qin

Song

2022

Sustainability

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Population expansion and the depletion of the planet’s natural resources make it necessary to look at human consumption behavior in sustainable development. The purpose of this study is to investigate the influence factors, the influence paths, and the decision-making mechanisms of Chinese consumers’ sustainable consumption behavior through the TPB–ABC integration theory. Based on survey data from 534 consumers in Dongying, China, this study used the partial least squares structural equation model (PLS-SEM) to analyze the main factors that influence the three sections of sustainable consumption behaviors, which are green purchase behavior, green transportation behavior, and recycling and resource conservation behavior. Decision-making mechanisms are discussed concerning impact pathways. The results prove that three internal motivations and two external contexts are intimately linked to customers’ behavioral decisions, with external contexts indirectly shaping individual attitudes. Furthermore, the factors that influence various types of sustainable consumption practices differ. Specifically, green purchase behavior and green transportation behavior are mainly influenced by attitude variables, and negative contexts mainly influence recycling and resource conservation behavior. Finally, the study suggested corresponding policy recommendations to promote sustainable consumption.

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Section: Discussionsupporting

confidence: 87%

Section: The Tpb-abc Integration Modelmentioning

confidence: 99%

Internal Motivations, External Contexts, and Sustainable Consumption Behavior in China—Based on the TPB-ABC Integration Model

Qin

Song

2022

Sustainability

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“…According to surveys of residents’ willingness to classify waste, Liu et al [ 18 ], Malmir et al [ 19 ], Wan et al [ 20 ] and Kirakozian [ 21 ] showed that waste-classification infrastructure will have an impact on residents’ willingness to participate in household waste classification, and its high quality, including convenience, is positively correlated with residents’ enthusiasm for participating in waste classification. Zhang et al [ 22 ] reported that low-quality waste-collection facilities will significantly reduce residents’ willingness to classify garbage when studying the current situation of the garbage sorting and recycling system in Chengdu. Therefore, the following hypothesis was put forward:…”

Section: Research Hypothesismentioning

confidence: 99%

Influencing Factors on the Household-Waste-Classification Behavior of Urban Residents: A Case Study in Shanghai

Tang

Shi

Huang

et al. 2022

IJERPH

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As the process of urbanization in China continues to accelerate, the amount of domestic waste generated correspondingly increases and directly affects the living space of residents. This indirectly implies that to reduce the production of municipal solid waste and the need for garbage disposal and recycling, household-waste-classification activities by the residents are of great significance. Using Shanghai as a case study, this study investigated the influencing factors on residents’ household waste classification by conducting a survey. Statistical analysis was then adopted, which is specified below. First, this study proposed research hypotheses related to the influencing factors of residents’ domestic-waste-sorting behavior from three levels: government, society and individuals. Second, the study designed a questionnaire from five perspectives: individual characteristic variables, government, society, residents and classification behavior. Then, SPSS software was used to carry out descriptive statistical, reliability and validity assessments using ANOVA, correlation and regression analyses on the sample data obtained from the questionnaire. The results suggested that the research hypotheses were statistically significant: (1) females and residents with higher education were more likely to participate in domestic waste classification; (2) reward and punishment measures had the most significant impact on residents’ waste-classification behavior; and (3) publicity and education, classification standards, classification facilities, the recycling system, subjective norms, environmental knowledge and environmental attitudes all had a positive effect on residents’ household waste classification. Finally, based on the results of the empirical analysis, this paper provides reference suggestions for the further development of domestic waste classification in Shanghai.

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“…Brownlee [38] Transport de Bruyn [28] Energy Deng [66] Water and Energy Khan [67] Energy Gokarn [35] Food Barreiro [8] Water, Energy, Transport, Waste, Telecom, Environment Babbitt [68] Food and Health Jamal [48] Waste and Recycling Ee [39] Food Ichikowitz [54] Waste and Recycling Karadagli [69] Water and Wastewater Schmitt [70] Food and Health Gausa [55] Food Perakis [56] Food Zhang [71] Waste and Recycling Heydari [72] Waste and Recycling Massoud [73] Waste and Recycling Zheng [74] Waste and Recycling Pulselli [40] Energy Sandhu [33] Waste and Recycling Subiza-Pérez [57] Waste and Recycling Končar [75] Transport Prouty Water Peng [76] Recycling Burton [77] Water Mensah [78] Waste and Recycling, Food, Health Kibler [41] Food, Water, Energy Shoukourian [59] ICT, Energy Bostenaru Dan [79] Energy González-Briones [42] Energy Chen [80] Food Morone [49] Food Chung [50] Health, Waste and Recycling Amirudin [51] Food, Waste and Recycling Niles [60] Waste and Recycling Kamble [52] Food Khahro [81] Energy Sinthumule Waste and Recycling Maase [43] Energy, Transport AlHaj [82] Waste and Recycling Salem [61] Waste and Recycling Hansmann …”

Section: Author Critical Infrastructure Domainmentioning

confidence: 99%

Critical Infrastructures: Reliability, Resilience and Wastage

et al. 2022

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By 2050, according to the UN medium forecast, 68.6% of the world’s population will live in cities. This growth will place a strain on critical infrastructure distribution networks, which already operate in a state that is complex and intertwined within society. In order to create a sustainable society, there needs to be a change in both societal behaviours (for example, reducing water, energy or food waste activities) and future use of smart technologies. The main challenges are that there is a limited aggregated understanding of current waste behaviours within critical infrastructure ecosystems, and a lack of technological solutions to address this. Therefore, this article reflects on theoretical and applied works concerning waste behaviours, the reliability/availability and resilience of critical infrastructures, and the use of advanced technologies for reducing waste. Articles in the Scopus digital library are considered in the investigation, with 51 papers selected by means of a systematic literature review, from which 38 strains, 86 barriers and 87 needs are identified, along with 60 methods of analysis. The focus of the work is primarily on behaviours, barriers and needs that create an excess or wastage.

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Determinants affecting residents’ waste classification intention and behavior: A study based on TPB and A-B-C methodology

Cited by 81 publications

References 34 publications

Internal Motivations, External Contexts, and Sustainable Consumption Behavior in China—Based on the TPB-ABC Integration Model

Internal Motivations, External Contexts, and Sustainable Consumption Behavior in China—Based on the TPB-ABC Integration Model

Influencing Factors on the Household-Waste-Classification Behavior of Urban Residents: A Case Study in Shanghai

Critical Infrastructures: Reliability, Resilience and Wastage

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