Social vulnerability of smallholder farmers to climate change in Zambia: the applicability of social vulnerability index

Dumenu, William Kwadwo; Tiamgne, Xavier Takam

doi:10.1007/s42452-020-2227-0

Cited by 23 publications

(11 citation statements)

References 31 publications

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“…Krell et al [32] stated that political considerations and weakness of the infrastructures are of the main limitations for adaptive responses of the farming communities against the climate change impacts. Similar findings have been reported by the researchers from other countries including Zambia [52] and Egypt [53]. To be specific, most of these studies suggest that, in order to provide easier and better meteorological information to farmers, first, inter-institutional cooperation between stakeholders should be increased.…”

Section: Discussionsupporting

confidence: 81%

“…The applicability of this recommendation has been supported by others. For instance, Dumenu and Tiamgne [52] concluded that information barriers are of the main factors resulting in the vulnerability of farming communities against climate change in Zambia. Similar results can be found among the results of the researchers from Brazil [26], Kenya [27,32], Vietnam [28], Nigeria [31], and Taiwan [33].…”

Section: Discussionmentioning

confidence: 99%

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Development of a Scale to Remove Farmers’ Sustainability Barriers to Meteorological Information in Iran

et al. 2021

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Even with significant breakthroughs in the production and delivery of meteorological information, most farmers are not able to utilize such information properly and pertinently. Up to the present time, a standardized scale has not been developed to examine farmers’ sustainability barriers to meteorological information use (BMIU). Furthermore, there is no doubt that identifying indicators and dimensions of sustainability barriers to meteorological information and weather forecasts’ usage by farmers can play a major role in their adaptation and resilience to the risks of climate change. Therefore, the present study aimed to generate and validate a scale for BMIU by farmers through an eight-step approach. Accordingly, the statistical population included 9006 Iranian farmers, 368 of whom were selected as study samples. The principal component factor analysis (PCFA) and second-order confirmatory factor analysis (CFA) were further practiced to develop the scale for meteorological information and weather forecasts’ use. Factor analysis also led to the emergence of five latent factors including “educational–communicative barriers (ECBs)”, “normative barriers (NBs)”, “informational barriers (IBs)”, “infrastructural–political barriers (IPBs)”, and “professional–economic barriers (PEBs)”. The second-order CFA correspondingly confirmed these five factors and their 25 related indicators. Given the challenges facing academic scholars, decision makers, and authorities in the application and facilitation of meteorological information, the developed multidimensional scale in this study along with its implementation steps can be effective in examining the limitations of utilizing such information and measuring its impacts in different agricultural communities.

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Section: Discussionsupporting

confidence: 81%

Section: Discussionmentioning

confidence: 99%

Development of a Scale to Remove Farmers’ Sustainability Barriers to Meteorological Information in Iran

et al. 2021

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“…Internationally, emerging research is applying the SVI to natural and manmade disasters (flash flooding, climate change, etc. [ 19 , 20 , 21 , 22 ]) and other health outcomes [ 23 , 24 , 25 , 26 ]. The opioid epidemic can be considered a “man-made” disaster, as opioid-related deaths continue to increase, despite efforts to curtail this trend.…”

Section: Introductionmentioning

confidence: 99%

The Impact of COVID-19 on Opioid-Related Overdose Deaths in Texas

Lalani

Bakos-Block

Cardenas-Turanzas

et al. 2022

IJERPH

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Prior to the COVID-19 pandemic, the United States was facing an epidemic of opioid overdose deaths, clouding accurate inferences about the impact of the pandemic at the population level. We sought to determine the existence of increases in the trends of opioid-related overdose (ORO) deaths in the Greater Houston metropolitan area from January 2015 through December 2021, and to describe the social vulnerability present in the geographic location of these deaths. We merged records from the county medical examiner’s office with social vulnerability indexes (SVIs) for the region and present geospatial locations of the aggregated ORO deaths. Time series analyses were conducted to determine trends in the deaths, with a specific focus on the years 2019 to 2021. A total of 2660 deaths were included in the study and the mean (standard deviation, SD) age at death was 41.04 (13.60) years. Heroin and fentanyl were the most frequent opioids detected, present in 1153 (43.35%) and 1023 (38.46%) ORO deaths. We found that ORO deaths increased during the years 2019 to 2021 (p-value ≤ 0.001) when compared with 2015. Compared to the year 2019, ORO deaths increased for the years 2020 and 2021 (p-value ≤ 0.001). The geographic locations of ORO deaths were not associated with differences in the SVI. The COVID-19 pandemic had an impact on increasing ORO deaths in the metropolitan Houston area; however, identifying the determinants to guide targeted interventions in the areas of greatest need may require other factors, in addition to community-level social vulnerability parameters.

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“…Others used both econometric and indicator-based methods. The econometric method uses household-level socioeconomic survey data [37], while the indicator-based method uses natural, social, financial, physical, and human capitals and then systematically combines to measure vulnerability status [21,24,28,[38][39][40][41][42][43]. The present study used an indicator-based approach, which is the most common method of demonstrating the power of each factor in vulnerability assessment [44][45].…”

Section: Introductionmentioning

confidence: 99%

Climate Change Perception and Vulnerability Assessment of the Farming Communities in the Wettest Parts of Ethiopia

Gemeda¹,

Dadi²,

Garedew³

2023

Preprint

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This study assesses the perception and vulnerability of the farming communities to climate change in the southwestern parts of Ethiopia. Data were collected from 442 households in four districts: Jimma Arjo, Bako Tibe, Chewaka, and Sekoru. The vulnerability of the farming communities was assessed using the households’ livelihood vulnerability index. A total of 40 indicators were applied to calculate household livelihood vulnera-bility to climate change, which were categorized into five major capitals: natural, social, financial, physical, and human. The household percep-tions of climate change results showed that there existed a statistically significant relationship between climate change perceptions and changes in rainfall pattern (75.6%, p<0.001), temperature pattern (69.7%, p<0.001), drought (41.6%, p=0.016), flood (44.1%, p=0.000), and occurrence of early (53.2%, p<0.001) and late rain (55.9%, p<0.001). The results showed that households in Sekoru district were the most vulnerable (0.61), while Jimma Arjo district were less vulnerable (0.47) to the effect of climate change. The vulnerability of the households in the study areas is mainly related to the occurrence of drought, lack of much-needed infrastructure facilities and weak institutional support. Links with the financial organization are also lacking among the household. The findings of this study will support policymakers to design climate change adap-tation strategies to combat climate change impacts. To support disaster risk management on the one hand and increase the resilience of vulnera-ble societies to climate change on the other hand, we recommend a detailed assessment in the remaining districts of the region.

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Social vulnerability of smallholder farmers to climate change in Zambia: the applicability of social vulnerability index

Cited by 23 publications

References 31 publications

Development of a Scale to Remove Farmers’ Sustainability Barriers to Meteorological Information in Iran

Development of a Scale to Remove Farmers’ Sustainability Barriers to Meteorological Information in Iran

The Impact of COVID-19 on Opioid-Related Overdose Deaths in Texas

Climate Change Perception and Vulnerability Assessment of the Farming Communities in the Wettest Parts of Ethiopia

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