2020
DOI: 10.3390/su122410498
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Adapting to Climate Extreme Events Based on Livelihood Strategies: Evidence from Rural Areas in Thua Thien Hue Province, Vietnam

Abstract: The key farming communities in Vietnam are generally poor and lack resources to adapt to and mitigate the impacts of climate extreme events (CEEs), but the extent of their adaptation strategies is not well understood. This study aims to analyze the impacts of CEEs, current barriers, and adaptation strategies based on three categories of livelihood strategies. The classification method is first used to divide the livelihood strategy into these three categories, and a multinomial logistic model (MLS) is then app… Show more

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Cited by 7 publications
(7 citation statements)
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“…Surprisingly, our empirical findings reveal that enterprises with a keener awareness of their surrounding environment are less flexible about mitigation adoption. It is noted that the living environment (represented by participants' environmental perception) is an important factor not only for agricultural businesses (Aryal, Sapkota, Rahut, Marenya, & Stirling, 2021;Zurovec & Vedeld, 2019) but also for other business types in remote areas (Araro, Legesse, & Meshesha, 2020;Meyer, Meyer, & Neethling, 2016;Minh, Hao, & Lebailly, 2020;Pouliotte, Smit, & Westerhoff, 2009). This is due to the (negative) impacts that the environment can impose on the network of remote companies, including self-employed operations.…”
Section: Resultsmentioning
confidence: 99%
“…Surprisingly, our empirical findings reveal that enterprises with a keener awareness of their surrounding environment are less flexible about mitigation adoption. It is noted that the living environment (represented by participants' environmental perception) is an important factor not only for agricultural businesses (Aryal, Sapkota, Rahut, Marenya, & Stirling, 2021;Zurovec & Vedeld, 2019) but also for other business types in remote areas (Araro, Legesse, & Meshesha, 2020;Meyer, Meyer, & Neethling, 2016;Minh, Hao, & Lebailly, 2020;Pouliotte, Smit, & Westerhoff, 2009). This is due to the (negative) impacts that the environment can impose on the network of remote companies, including self-employed operations.…”
Section: Resultsmentioning
confidence: 99%
“…The selection of each method depends closely on the field of study, the availability of data collection, sample size method (Luqman & Van Belle, 2017;Antony et al, 2020;Chuang, Wang, & Liang, 2020). The discrete choice model is common used in the adoption of a service or a technique where the value of the selection is ranked randomly and the collected data allow to classified to follow a standard distribution (Tun Oo, Van Huylenbroeck, & Speelman, 2017;Minh, Hao, & Lebailly, 2020). However, the limitation of this model comes from the completed steps and concrete conditions to estimate the model.…”
Section: Linear Regression Modelmentioning
confidence: 99%
“…Despite the agreement regarding the definition of reactive and proactive adaptation, the practices and strategies included in each one vary depending on the case study. For example, the widely used practice of "changing the timing of sowing and harvesting" has been classified as proactive and reactive by different scholars depending on local conditions and farming systems [30,31], and, as pointed out by Carman and Zint [14], a strategy or measure could be both, depending on if it is a response (reactive) or if it a coping mechanism (proactive).…”
Section: Adaptation To Climate Changementioning
confidence: 99%