Political values, patriotism, institutional trust and connectedness to nature predict environmental attitudes and pro-environmental behaviour (Los valores políticos, el patriotismo, la confianza en las instituciones y la conexión con la naturaleza predicen las actitudes y la conducta proambientales)

IF 0.7 Q4 ENVIRONMENTAL STUDIES Psyecology-Revista Bilingue de Psicologia Ambiental Pub Date : 2023-05-04 DOI:10.1080/21711976.2023.2204012
Fatikha Agissova, Alexandra Ivanova, Elena Sautkina
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Abstract

ABSTRACT This study is the first in Russia to examine how political values, institutional trust and patriotism, as well as connectedness to nature, environmental concern and environmental knowledge, predict five types of pro-environmental behaviour. The data of 462 Russians (56.7% female, mean age 36.73) was analysed using multiple regression and structural equation modelling. The model explained 30% of variance in social pro-environmental behaviour, 17% in sustainable purchasing, 13% in waste management, 11% in resource conservation and only 3% in climate-relevant action. First, each of the studied behaviour types had their unique predictors. The only common predictor of all five behaviour types was connectedness to nature. Egoistic environmental concern predicted sustainable purchasing and biospheric concern predicted resource conservation. Environmental knowledge predicted recycling behaviour. Institutional trust positively predicted social behaviour. Political value of free enterprise negatively predicted resource conservation. The findings and their practical implications, as well as future research directions, are discussed.
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政治价值观、爱国主义、制度信任和与自然的联系预测环境态度和亲环境行为
本研究是俄罗斯第一个研究政治价值观、制度信任和爱国主义,以及与自然、环境关注和环境知识的联系如何预测五种亲环境行为的研究。采用多元回归和结构方程模型对462例俄罗斯人(56.7%为女性,平均年龄36.73岁)的数据进行分析。该模型解释了社会亲环境行为中30%的差异,可持续采购中17%的差异,废物管理中13%的差异,资源保护中11%的差异,而与气候相关的行动中只有3%的差异。首先,每种被研究的行为类型都有其独特的预测因素。所有五种行为类型的唯一共同预测因素是与自然的联系。利己主义的环境关注预测可持续购买,生物圈关注预测资源保护。环境知识预测回收行为。制度信任正向预测社会行为。自由企业的政治价值负向预测资源节约。讨论了研究结果及其现实意义,并展望了未来的研究方向。
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来源期刊
CiteScore
2.40
自引率
9.10%
发文量
13
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