An extended Theory of Planned Behavior in explaining intention toward sustainable forest management: Evidence from COVID 19 Pandemic from Bali, Indonesia

扩展的计划行为理论在解释可持续森林管理意愿中的应用:来自印度尼西亚巴厘岛 COVID-19 疫情的证据

阅读:1

Abstract

BACKGROUND: The COVID-19 pandemic has generated significant impacts on the forestry sector. Employment layoffs have led to an increase in return migration, resulting in additional labor supply and heightened family economic burdens. This research employs the Theory of Planned Behaviour (TPB) framework to examine and predict sustainable forest management practices among families managing customary forests and village forests in Bali. METHODS: Purposive sampling was used to collect data from 71 managers of customary forests and village forests in Tenganan and Wanagiri. Partial least square-structural equation modelling (PLS-SEM) was used to analyze the acquired data. RESULTS: The findings demonstrated that TPB can explain the sustainable forest management. The incorporation of an additional construct, Tri Hita Karana (THK), enhanced the model's predictive power for both managerial intentions and behaviors in sustainable forest management. Specifically, THK influences management intentions through the mediation of attitudes, subjective norms, and perceived behavioral control. CONCLUSIONS: This study established that THK, a fundamental value system in Balinese society, serves as an antecedent predictor of behavioral intentions toward sustainable forest management. The relationship between THK and sustainable forest management intentions is mediated by attitudes, subjective norms, and perceived behavioral control. This research makes significant theoretical and managerial contributions. First, it validates the established TPB framework within the context of COVID-19's impact in Bali. Additionally, it provides scholars with insights for identifying other potential constructs that may influence forest land managers' behavior.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。