2020
DOI: 10.1007/s11356-020-09652-w
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Modeling smallholder livestock herders’ intentions to adopt climate smart practices: An extended theory of planned behavior

Abstract: Climate change is persistently causing adverse effects to the agriculture sector of developing countries, specifically in Asia. Pakistan is no exception to this effect and is ranked among the top 10 countries, which are most vulnerable to climate change. A huge upcoming challenge is to sustain an equilibrium among production and environmental protection. In this context, adaptation to climate change is considered as a win-win strategy for agriculture sectors in developing countries. However, numerous studies h… Show more

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Cited by 34 publications
(28 citation statements)
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“…A structured questionnaire for data collection was divided into different sections, including general information, household characteristics (socio-economic characteristics), farm characteristics, institutional characteristics, accessibility and availability of resources, assets (livestock and household assets), household income (off/on-farm income), and household perception of climate (risk perception, risk experience, and impacts) to assess exposure to CC, adaptive capacity at the household level, and intentions to adopt practices in response to CC. The indicators used in the current study were primarily based on authors' own understanding of the study location, in addition to peers' knowledge and the published literature [4][5][6]8,11,16]. Data collection was undertaken between January and June 2019 by the trained interviewers through face-to-face questioning in the local (Saraiki and Punjabi) languages.…”
Section: Study Area Sampling and Data Collection Methodsmentioning
confidence: 99%
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“…A structured questionnaire for data collection was divided into different sections, including general information, household characteristics (socio-economic characteristics), farm characteristics, institutional characteristics, accessibility and availability of resources, assets (livestock and household assets), household income (off/on-farm income), and household perception of climate (risk perception, risk experience, and impacts) to assess exposure to CC, adaptive capacity at the household level, and intentions to adopt practices in response to CC. The indicators used in the current study were primarily based on authors' own understanding of the study location, in addition to peers' knowledge and the published literature [4][5][6]8,11,16]. Data collection was undertaken between January and June 2019 by the trained interviewers through face-to-face questioning in the local (Saraiki and Punjabi) languages.…”
Section: Study Area Sampling and Data Collection Methodsmentioning
confidence: 99%
“…Climatic variations, in the form of erratic rainfall, intermittent droughts, deadly cyclones, and heat waves, pose threats to all sectors of the economy and walks of life, both marine and land-based [4]. Due to its high dependence on natural resources, such as water, temperature, light, soil, and oxygen, and vulnerability to events that may result from any natural imbalance, the agriculture sector is one of the most sensitive to CC, thus threatening millions of subsistence farmers who heavily rely on the sector's performance [5,6]. In developing countries, the level of vulnerability of small farmers to CC is further intensified because of their low adoptive capacity, poor institutional support, and the temporary nature of resilience-enhancing infrastructure [7,8].…”
Section: Introductionmentioning
confidence: 99%
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