整合保护动机模型与地方依恋理论考察农村居民低碳行为意愿:来自伊朗的经验证据

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY
Ali Mokhtari Karchegani , Moslem Savari
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引用次数: 0

摘要

碳排放的持续增加加剧了气候变化,引起了社会各界的广泛关注。虽然农村地区通常被认为工业化程度较低,但它们通过砍伐森林和燃烧生物质等传统做法大量排放碳。现有研究将保护动机理论(PMT)确定为理解低碳行为的主要框架之一。然而,PMT并没有解释个体对地点的情感联系的重要性,而地点依恋理论(PAT)可以为农村人口的行为意图提供重要的见解。为了解决这一差距,本研究旨在开发一个扩展的PMT模型,将PAT作为一个额外的结构。本研究采用问卷调查法,并运用结构方程模型(SEM)进行分析。这项研究的对象是伊朗锡斯坦和俾路支斯坦省的所有村民。根据Krejcie和Morgan(1970)的抽样表,采用多阶段分层整群抽样方法,选取了383名个体。数据分析采用PLS-SEM方法。研究发现,原始PMT模型仅能解释村民低碳行为意愿方差的59.9%,而纳入PAT的扩展PMT模型的解释力又提高了27.7%。本研究建立的理论框架为今后农村人口低碳行为意愿的研究提供了有价值的参考。此外,所获得的见解可以帮助决策者设计有效的保护政策,既符合当地社区的价值观,又能保护环境和社会福祉。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating the protection motivation model with place attachment theory to examine rural residents’ intentions toward low-carbon behaviors: Empirical evidence from Iran
The continuous rise in carbon emissions has intensified climate change, generating widespread concern across all sectors of society. Although rural areas are typically regarded as less industrialized, they contribute substantially to carbon emissions through traditional practices such as deforestation and biomass burning. Existing research identifies Protection Motivation Theory (PMT) as one of the predominant frameworks for understanding low-carbon behavior. However, PMT does not account for the significance of individuals’ emotional ties to place, conceptualized by Place Attachment Theory (PAT), which can provide critical insights into the behavioral intentions of rural populations. To address this gap, the study aimed to develop an extended PMT model incorporating PAT as an additional construct. This research employed a questionnaire survey and utilized structural equation modeling (SEM) for analysis. The study targeted all villagers in Sistan and Baluchestan province, Iran. Following the Krejcie and Morgan (1970) sampling table, a sample of 383 individuals was selected through a multistage stratified cluster sampling method. Data analysis was conducted using the PLS-SEM approach. The findings revealed that the original PMT model accounted for only 59.9 % of the variance in villagers’ intentions to engage in low-carbon behaviors, whereas the extended PMT model, incorporating PAT, enhanced the explanatory power by an additional 27.7 %. The theoretical framework established in this study offers a valuable reference for future investigations into the low-carbon behavioral intentions of rural populations. Moreover, the insights gained can assist policymakers in designing effective conservation policies that align with local community values while safeguarding environmental and social well-being.
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来源期刊
Results in Engineering
Results in Engineering Engineering-Engineering (all)
CiteScore
5.80
自引率
34.00%
发文量
441
审稿时长
47 days
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