2018
DOI: 10.1108/ijccsm-03-2017-0059
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Migration as adaptation strategy to cope with climate change

Abstract: Purpose This study aims to evaluate the link between climate/weather change and farmer migration in Bihar, India. The influence of cognitive conditions and climate-related stress on farmer migration decisions and the socioeconomic characteristics of migrating and non-migrating farm households are analysed. The focus is the role of migration in access to climate and agricultural extension services and the contribution of migration to enhanced farmer coping capacity. Design/methodology/approach A primary surve… Show more

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Cited by 112 publications
(86 citation statements)
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References 59 publications
(76 reference statements)
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“…Moreover, there are scarce examples in the specialized literature of the analysis of the effects of CC within a framework of integrated water resource management (Onagi, 2016). In ad-dition, for an adequate comprehensive study of the effects of CC in an IBWT, and to produce operational indicators for water management plans (Giupponi and Gain, 2017), including the management of water trade (Kahil et al, 2015), it is also necessary to consider the effects in the receiving basin.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, there are scarce examples in the specialized literature of the analysis of the effects of CC within a framework of integrated water resource management (Onagi, 2016). In ad-dition, for an adequate comprehensive study of the effects of CC in an IBWT, and to produce operational indicators for water management plans (Giupponi and Gain, 2017), including the management of water trade (Kahil et al, 2015), it is also necessary to consider the effects in the receiving basin.…”
Section: Introductionmentioning
confidence: 99%
“…Swanson (2006) describes agricultural extension services as the all-encompassing institutional arrangements that are meant to aid farmers organize themselves and create linkages between farmers and markets. Transfer of resources acquired to home location or zone, such as remittances, return of migrant and knowledge make immense contributions to enhance level of awareness of the work of institution and technical sources of agricultural extension services and climate information services (Jha et al, 2018). Income remitted home has direct effect on the resource base, economic welfare and resilience of the migrant source community (Adger, et al 2002).…”
Section: Rationale For Migrationmentioning
confidence: 99%
“…In concept, the new economics of labour migration (NELM) models are different from other models because they incorporate rural risk factor as a determinant of decisions to migrate (Jha et al, 2018). This approach implies that decision to migrate an affairs of families and households instead of that of the lone individual (Jha et al, 2018); Stark and Lucas, 1988;Stark and Bloom, 1985). The NELM model likewise considers migration as a strategy created by a family or household to maximize expected incomes and reduce risk of failure in consumption by engaging in diversi ed sources of income by crossing sectors or agricultural zones.…”
Section: Introductionmentioning
confidence: 99%
“…The analysis also showed that age of the migrant and educational attainment was significantly positively correlated with migration; they were more likely to migrate. The capability to acquire knowledge about adaptation strategies, awareness, and opportunity for alternative sources of income, fearless of taking challenges influenced them to take the decision to migrate [15]. Moreover, more economically active household members were 2.5 times more likely to be influenced to migrate.…”
Section: Migrationmentioning
confidence: 99%
“…In fact, a severe cyclone hits Bangladesh every three years on average [10][11][12]. Moreover, the coastal areas and the Bay of Bengal are located at the northern tip of the Indian Ocean, and are frequently hit by cyclonic storms, generating high tidal surges, floods, and storm surges, which lead to permanent or temporary human displacement [6,[13][14][15][16][17]. It is forecasted that, by 2050, about 17% of coastal areas will be inundated [16].…”
Section: Introductionmentioning
confidence: 99%