Defining interpretative communities towards climate change: Examining growers of common bean in Latin America

Defining interpretative communities towards climate change: Examining growers of common bean in Latin America
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定义气候变化的解释性社区:调查拉丁美洲的普通豆种植者

DOI:
10.1080/14735903.2021.1936419
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发表时间:
2021
影响因子:
3.4
通讯作者:
Barnes A
Barnes A
中科院分区:
农林科学2区
文献类型:
--
作者:
Barnes A

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菜豆(Phaseolus vulgaris L.)为农村贫困人口带来诸多好处。耐热品种需要迅速采用新种子来取代传统品种。然而,尽管经过了数十年的干预,但一些制度和家庭因素(主要是缺乏推广和信息)导致采用率较低。我们关注哥伦比亚的种植者,对 566 个家庭进行了定制调查问卷,以了解他们对气候变化的意识、经历和担忧。我们将它们分为四组“解释性社区”。虽然样本中有一小部分人声称未受到气候变化的影响且不关心气候变化,但其余的人则表示对气候事件有不同程度的经历。然而,这并没有直接转化为对气候变化未来影响的类似程度的关注。多项逻辑回归发现,这种担忧是由多种因素驱动的,但在那些专业化生产的农民中最为严重。海拔高度和距市场的距离似乎也会对我们阶层的看法产生一定影响。我们的结论是,对这些解释性社区的考虑提供了更多信息来构建信息,并且将努力集中在这些群体上将导致更大的改变可能性。
The common bean (Phaseolus vulgaris L.) provides numerous benefits for the rural poor. Heat tolerant varieties require rapid adoption of new seeds to replace traditional varieties. However, a number of institutional and household factors, predominantly lack of extension and information, has led to low uptake despite decades of intervention. We focus on growers in Colombia and apply a bespoke questionnaire to 566 households to understand their awareness, experiences and concern towards climatic change. We classify these into four groups of 'interpretive communities'. Whilst there is a small portion of the sample who claim to be unaffected and unconcerned towards climate change, the remainder identify varying degrees of experience with climatic events. However, this does not directly translate into similar levels of concern towards the future impact of climate change. A multinomial logistic regression finds that concern is driven by a number of factors, but is highest in those farmers who specialize their production. Altitude and distance to markets also appear to have some effect in shaping perceptions of our classes. We conclude that consideration of these interpretative communities offers more information to frame messages and focusing of effort on those cohorts would lead to more likelihood of change.
DOI: 10.1080/09640568.2010.515880
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发表时间: 2022
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影响因子: --
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