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Data · dataset · 2006

Predicting Participation in Community Environment Actions from an Integrated Environmental Behavior Model

Listed in Harvard Dataverse

This study was aimed to find out (1) why communities would initiate their environmental actions, (2) what are the variables affecting residents’ participation in environmental actions of their communities, and (3) what variables are crucial for the success of community environmental actions.

Description

Results found that gender and education had significant effects upon psychological variables such as response efficacy. Three variables—self-efficacy, response efficacy and environmental hope—could predict residents’ intention to join community environmental actions.

Moreover, self-efficacy and response efficacy were able to differentiate high-participation residents from low-participation ones. Based on these results and findings from interviews with community leaders, we offered several suggestions for promoting public participations in community environmental actions.

Links

Provenance · 1 source records, 5 field assertions
SourceKeyLast seenRaw
Harvard Dataversedoi:10.6141/TW-SRDA-E93045-111 d agoJSON v1
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created_datesource · Harvard Dataverseconnector:dataverse@1.0.0
descriptionsource · Harvard Dataverseconnector:dataverse@1.0.0/description
publication_datesource · Harvard Dataverseconnector:dataverse@1.0.0
titlesource · Harvard Dataverseconnector:dataverse@1.0.0/name
updated_datesource · Harvard Dataverseconnector:dataverse@1.0.0