Social norms and littering – The role of personal responsibility and place attachment at a Pakistani beach

Chaudhary, Abdul Haseeb; Polonsky, Michael Jay; McClaren, Nicholas

doi:10.1016/j.gloenvcha.2023.102725

Cited by 4 publications

(2 citation statements)

References 91 publications

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“…The attitude elements were selected and amended [63]. Social norm items were selected and modified [104,105]. Self-efficacy items were selected and modified [49,52].…”

Section: Methodsmentioning

confidence: 99%

Who Will Save Energy? An Extension of Social Cognitive Theory with Place Attachment to Understand Residents’ Energy-Saving Behaviors

Zhang,

Nketiah,

Shi

et al. 2023

Sustainability

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With environmental concerns gaining prominence, the study of energy-saving behavior (ESB) has captured global expert attention. This research applied the SCT model and utilized survey data collected in Jiangsu Province to explore the factors influencing residents’ energy-saving behavior (ESB). The findings reveal that self-efficacy, attitudes, and social norms are direct positive determinants of ESB. Additionally, these factors mediate the positive relationship between knowledge and ESB. Notably, knowledge enhances self-efficacy, attitudes toward energy saving, and adherence to social norms, while outcome expectations improve attitudes and norms. Place attachment also emerges as a significant predictor of ESB, exerting its influence indirectly through attitudes and social norms. These insights enrich social cognitive theory by incorporating place attachment to examine ESB, substantially contribute to the discourse on environmental protection, and have implications for energy conservation strategies globally.

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“…The attitude elements were selected and amended [63]. Social norm items were selected and modified [104,105]. Self-efficacy items were selected and modified [49,52].…”

Section: Methodsmentioning

confidence: 99%

Who Will Save Energy? An Extension of Social Cognitive Theory with Place Attachment to Understand Residents’ Energy-Saving Behaviors

Zhang,

Nketiah,

Shi

et al. 2023

Sustainability

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show abstract

“…Although some research has focused on the influence of subjective norms on the shopping behaviour of organic products (Xu et al, 2022), there is no research to examine the direct influence of the descriptive norm on the intention to practise solid waste segregation-at-source. However, the descriptive norm has been shown to be effective in inducing pro-environmental behaviour, including energy conservation Helferich et al, 2023), littering (Chaudhary et al, 2023), recycling (Dorigoni and Bonini, 2023), transportation behaviour (Kormos et al, 2015), purchase of sustainable grocery products (Demarque et al, 2015), towel reuse in a hotel setting (Reese et al, 2014) and reducing theft (Schneider and van der Linden, 2023). Accordingly, the present research has assumed that this is the first time that the Focus Theory of Normative Conduct has been used to enrich the scarce literature on the intention to practise solid waste segregation-at-source.…”

Section: Theoretical Framework Developmentmentioning

confidence: 99%

Understanding the determinants of households’ intention to practise solid waste segregation-at-source: Theoretical framework development

Cheng,

Osman,

Jusoh

et al. 2024

J. Infras. Policy. Dev.

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Purpose: The level of the environment is gradually declining, especially with regard to the serious problem of solid waste. Solid waste segregation-at-source is seen as the most essential approach to helping the natural environment minimize the amount of waste generated before being transferred to waste disposal sites and landfills in many rapidly growing towns and cities in developing countries. However, a number of previous environmental-based research have focused only on the general scope of recycling, sustainable development, and the purchase intention for sustainable food products. This situation has led to useful and relevant information on the research scope of households’ intention to segregate solid waste at source, which remains largely unanswered. The aim of this paper is, therefore, to provide a literature review to develop a novel theoretical framework in understanding the determinants of households’ intention to practise solid waste segregation-at-source. Theoretical framework: The study provides a detailed explanation of the application of the Theory of Reasoned Action, the Fietkau-Kessel Model, the Focus Theory of Normative Conduct, and the Value-Basis Theory to predict the relationship between attitude, subjective norms, environmental concerns, and environmental knowledge of households on intention to practise solid waste segregation-at-source. Design/methodology/approach: This research is descriptive in nature. Findings: A better understanding of the potential mediator and moderator is needed to contribute to the body of knowledge on the causal relationship between the studied variables. In conclusion, the researchers discuss how the framework can be used to address future research implications as more evidence emerges. Research, practical and social implications: The current study is expected to broaden previous research in order to improve general understanding of attitudes and subjective norms towards the specific research scope of solid waste segregation-at-source.

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Intentions and actions in household waste separation: A machine learning approach on the gap and determinants

Cheng,

Zhang,

et al. 2024

Environmental Impact Assessment Review

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Social norms and littering – The role of personal responsibility and place attachment at a Pakistani beach

Cited by 4 publications

References 91 publications

Who Will Save Energy? An Extension of Social Cognitive Theory with Place Attachment to Understand Residents’ Energy-Saving Behaviors

Who Will Save Energy? An Extension of Social Cognitive Theory with Place Attachment to Understand Residents’ Energy-Saving Behaviors

Understanding the determinants of households’ intention to practise solid waste segregation-at-source: Theoretical framework development

Intentions and actions in household waste separation: A machine learning approach on the gap and determinants

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