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Social media and farmer's resilience to drought as an environmental disaster: A moderation effect
International Journal of Disaster Risk Reduction ( IF 5 ) Pub Date : 2021-04-06 , DOI: 10.1016/j.ijdrr.2021.102209
Seyede Somaye Bathaiy , Mohammad Chizari , Hasan Sadighi , Amir Alambeigi

This study aims to investigate the impact of social media, as a moderator variable, on farmer's resilience to climate change. According to the lack of investigation on the social impacts of social media, this study examines the direct and indirect effects of social media on the livelihood capitals and resilience of farmers to climate change. The purpose of the current study is categorized as applied research. Data collection was done through the survey method. Also, data analysis was done using a non-experimental and descriptive-correlation method. The statistical population consists of 36281 farmers who live in the drainage basin of the Ghezel Ozan River in Zanjan province. The sample size estimated 384 people through Krejcie and Morgan's table. Also, stratified random sampling was used by the appropriate assignment. The validity and reliability were evaluated through the convergent and discriminant validity method, and combined reliability, respectively. Data processing was done through structural equation modeling based on the partial least squares method. Results indicated that social media affects, directly and indirectly, the farmer's resilience through livelihood capitals. Also, livelihood capitals have a significant positive impact on farmer's resilience to climate change.



中文翻译:

社交媒体和农民抵抗干旱的环境灾难:适度影响

这项研究旨在调查作为主持人变量的社交媒体对农民抵御气候变化的抵御力的影响。根据缺乏对社交媒体的社会影响的调查,本研究考察了社交媒体对民生资本和农民对气候变化的抵御能力的直接和间接影响。本研究的目的归类为应用研究。数据收集是通过调查方法完成的。另外,使用非实验性和描述性相关方法进行数据分析。统计的人口包括居住在Zanjan省Ghezel Ozan河流域的36281位农民。通过Krejcie和Morgan的表格,样本量估计为384人。同样,分层分配的随机抽样也被适当的分配所使用。通过收敛效度和判别效度法,并结合综合效度,对效度和信度进行了评估。通过基于偏最小二乘法的结构方程建模完成数据处理。结果表明,社交媒体通过生计资本直接和间接地影响着农民的应变能力。此外,生计之都对农民抵御气候变化的抵御能力具有重大的积极影响。

更新日期:2021-04-20
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