Disaster information acquisition by residents of China's earthquake-stricken areas

Zhuang, Linmei; Jia, He; Yong, Zhuolin; Deng, Xin; Xu, Dingde

doi:10.1016/j.ijdrr.2020.101908

Cited by 27 publications

(17 citation statements)

References 76 publications

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“…To ensure the data were representative, we mainly adopted stratified equal-probability random sampling to determine the sample counties, villages, and residents. For the specific sampling process, please refer to Xu et al ( 2019a , b ), Zhuang et al ( 2020 ). Through investigation, the survey data of 327 households in 16 villages in 8 villages and towns in 4 districts and counties were finally obtained.…”

Section: Methodsmentioning

confidence: 99%

Livelihood resilience and strategies of rural residents of earthquake-threatened areas in Sichuan Province, China

et al. 2021

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Section: Methodsmentioning

confidence: 99%

Livelihood resilience and strategies of rural residents of earthquake-threatened areas in Sichuan Province, China

et al. 2021

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“…Finally, 327 valid questionnaires were obtained from 16 villages, 8 townships and 4 districts. To make sure that the survey captured a representative sample of the population, samples were selected with the use of stratified and probabilistic random sampling methods, which specifically refers to Zhou et al [83,84], Ma et al [85], Qing et al [86], and Zhuang et al [87]. Through stratified sampling, 16 villages in 8 townships, across the 4 districts were selected.…”

Section: Data Sourcesmentioning

confidence: 99%

The Impact of Livelihood Risk on Farmers of Different Poverty Types: Based on the Study of Typical Areas in Sichuan Province

Zeng

Deng

et al. 2021

Agriculture

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After the completion of China’s poverty alleviation task in 2020, the poverty situation will undergo major changes, and the focus of poverty alleviation work will shift to solving relative poverty. This can provide useful inspiration for the government to formulate and implement relevant policies that explore the differences in livelihood risk impacts of different types of farmers in areas where disasters and poverty are intertwined. This study used survey data of 327 households in four districts and counties in the hardest-hit areas of the Wenchuan Earthquake and Lushan Earthquake in China’s Sichuan Province in 2018. This study measured farmers’ livelihood risks from four aspects: health risks, environmental risks, financial risks, and social risks, and measured farmers’ poverty types from three aspects: absolutely poor farmers, relatively poor farmers, and non-poor farmers. It systematically analyzed the four types of livelihood risks faced by farmers and the three types of poverty they were in, and constructed a multinomial logistic regression to explore the correlation between livelihood risks and poverty types. This study is the first to compare the relatively poor type with other poverty types. The second innovation is that it uses the entropy method and multinomial logistic regression. The results showed that: (1) Among the four livelihood risks faced by farmers, the biggest was the environmental risk, the next was financial risk, the third was health risk, and the last was social risk. (2) Among the three poverty types, farmers in absolute poverty were the most populated, with non-poor farmers next, and relatively poor farmers at the bottom. (3) Farmers of different poverty types were affected by livelihood risks to different degrees. Specifically, when compared with the impacts on farmers in absolute poverty, the impacts social risks could bring to farmers in relative poverty were more severe while the impacts of health risks, environmental risks and financial were not that strong. Impacted by social risks, relatively poor farmers are more seriously impacted by public affairs and social security status. When compared with the impacts on non-poor farmers, the impacts of all these four risks on relatively poor farmers were not notable.

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“…Due to the differences in topography and economic development levels, many farmers have been living in areas threatened by natural disasters for a long time, and some farmers even live in known disaster areas (such as debris flow fans) [69][70][71][72][73][74]. This means that they are vulnerable to disasters under extreme weather conditions (such as heavy rain) [75].…”

Section: Theoretical Analysis and Research Hypothesismentioning

confidence: 99%

Study on Livelihood Vulnerability and Adaptation Strategies of Farmers in Areas Threatened by Different Disaster Types under Climate Change

et al. 2021

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The intensification of global climate change leads to frequent mountain torrents, landslides, debris flows and other disasters, which seriously threaten the safety of residents’ lives and property. However, few studies have compared and analyzed the livelihood vulnerability and adaptation strategies of farmers in different disaster-threatened areas under the background of climate change. Based on survey data of 327 households in the areas threatened by mountain floods, landslides and debris flow in Sichuan Province, this study analyzed the characteristics of livelihood vulnerability and adaptation strategies of households in the areas threatened by different disaster types and constructed multinomial logistic regression models to explore their correlations. The findings show that: (1) The livelihood vulnerability indices of farmers in different hazard types showed different characteristics. Among them, the livelihood vulnerability index of farmers in landslide-threatened zones is the highest, followed by the livelihood vulnerability index of farmers in debris-flow-threatened zones, and finally the livelihood vulnerability index of farmers in flash flood threat zones. At the same time, all three natural hazards show a trend of higher vulnerability in the sensitivity dimension than in the exposure and livelihood resilience dimensions. (2) The nonfarming livelihood strategy is the main livelihood strategy for farmers in different disaster-type-threatened areas. At the same time, the vulnerability of farmers choosing the nonfarming livelihood strategy is much higher than that of farmers choosing the part-time livelihood strategy and pure farming livelihood strategy, and the vulnerability of sensitivity dimension is higher than that of the exposure dimension and livelihood resilience dimension. (3) For farmers in landslide- and debris-flow-threatened areas, livelihood resilience is an important factor affecting their livelihood strategy. There was a positive correlation between livelihood resilience and farmers’ choice of pure agricultural livelihood strategies in these two natural-disaster-threatened areas. This study deepens our understanding of the characteristics and relationships of farmers’ livelihood vulnerability and adaptation strategies under different disaster types in the context of climate change, and then provides the reference basis for the formulation of livelihood-adaptive capacity promotion-related policy.

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Disaster information acquisition by residents of China's earthquake-stricken areas

Cited by 27 publications

References 76 publications

Livelihood resilience and strategies of rural residents of earthquake-threatened areas in Sichuan Province, China

Livelihood resilience and strategies of rural residents of earthquake-threatened areas in Sichuan Province, China

The Impact of Livelihood Risk on Farmers of Different Poverty Types: Based on the Study of Typical Areas in Sichuan Province

Study on Livelihood Vulnerability and Adaptation Strategies of Farmers in Areas Threatened by Different Disaster Types under Climate Change

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