Farmers’ awareness level and their perceptions of climate change: A case of Khyber Pakhtunkhwa province, Pakistan

Fahad, Shah; Inayat, Tahira; Wang, Jianling; Li, Dong; Hu, Guangyin; Khan, Sufyanullah; Khan, Aaqil

doi:10.1016/j.landusepol.2020.104669

Cited by 49 publications

(34 citation statements)

References 25 publications

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“…Farmers 'education is a determining factor for farmers' awareness of climate change and adaptation strategy selection. Fahad et al (2020) show a positive relationship between farmer perceptions and farmer education. It means that farmers' perceptions of climate change will be stronger if they attend education.…”

Section: Educationmentioning

confidence: 81%

“…Education is the primary indicator in influencing farmers' perceptions of climate change. It means that if farmers return to formal education for one year, farmers' awareness and perception of climate change will increase (Fahad et al, 2020).…”

Section: B Educationmentioning

confidence: 99%

“…Farmers who raise crops, livestock, or both have a different perception of climate change. The agricultural sector is the sector most vulnerable to the risks of climate change (Fahad et al, 2020). A study conducted by Ayanlade et al (2017) indicates that 67% of the farmer in Nigeria who raise crops perceive climate change as a danger to their farming.…”

Section: E Crop and Livestock Ownershipmentioning

confidence: 99%

See 2 more Smart Citations

Factors Affecting Farmer's Climate Risk Perception in Developed and Developing Countries : Evidence From Switzerland and Ghana

Rokhani

Asrofi

Khasan

2020

Jurnal Sosial Ekonomi Pertanian

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Climate change is the primary challenge of agricultural production in developing and developed countries. Farmers' perception of climate change is the critical driver in encouraging farmers to take autonomous adaptation practices. Thus, this study aimed to identify factors affecting farmers' perception of climate change in developing and developed countries and take Ghana and Switzerland as the study cases. The study used data from 378 cocoa farmers in Ghana and 109 farmers in Switzerland. The data was obtained from a structured interview and survey and contained socio-economic and farm characteristics of farmers. This study employed an ordered probit regression to estimate the factors affecting farmers' perception of climate change. The results show that landholding, farm income, and education significantly affect farmer perception of climate change. Landholding and farm income significantly affect farmer perception of climate change in Switzerland and Ghana. But, education only significantly affects the farmers' perception of climate change in Switzerland. Meanwhile, age and crops/livestock ownership does not significantly affect farmers' perception of climate change in Ghana and Switzerland. The results also show that Switzerland's farmers have a stronger perception of climate change than farmers in Ghana. Keywords: climate risk perception, climate change perception, Ghana, Switzerland

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Section: Educationmentioning

confidence: 81%

Section: B Educationmentioning

confidence: 99%

Section: E Crop and Livestock Ownershipmentioning

confidence: 99%

See 1 more Smart Citation

Factors Affecting Farmer's Climate Risk Perception in Developed and Developing Countries : Evidence From Switzerland and Ghana

Rokhani

Asrofi

Khasan

2020

Jurnal Sosial Ekonomi Pertanian

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“…A complete list of 909 households from the four villages (Sikles, Parche, Khilang and Tangting) in the Upper Madi watershed was first collected from the election commission of Nepal. Sample size of 278 households was calculated out of 909 households by using the formula proposed by [5] to provide a statistically significant sample from the target population of the study area [ 6 , 7 ]. Our sample represents approximately 31% of the total households in the study area.…”

Section: Survey Design Materials and Methodsmentioning

confidence: 99%

Dataset of non-timber forest products use and impacts of recent climate change in the Upper Madi Watershed, Nepal

et al. 2020

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This dataset presents data collected from household surveys from Upper Madi Watershed of Nepal describing the benefits of non-timber forest products (NTFPs) to people of mountain ecosystems, their perceptions of climate change, and perceived impacts of climate change on NTFPs ecosystem services. The data were collected from 278 households that were randomly selected from the four villages in the watershed during the period September to December 2019. The survey assessed socio-demographic information; collected and utilized NTFPs; perceptions of climate change, and; perceived impacts of climate change on NTFPs ecosystem services. These data are important in understanding the benefits of non-timber forest products in mountain ecosystems and the impacts of climate change as the benefits and impacts are currently not well understood. The data will be helpful in formulation and implementation of adaptation strategies to sustain the supply, protection, and management of NTFPs in mountain ecosystems.

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“…In this research, we have used closed-ended questions (dichotomous scales) having two choices (yes or no) for the measurement of the variables, which is evident from past pieces of literature. [30][31][32][33][34][35][36] Previous studies argue that self-reports of subjective stress related to a particular stressor or one's living conditions are one of the best ways to assess stress responses. [37][38][39] Similarly, some studies also measured stress as a representation of perceived strains using the Perceived Stress Questionnaire (PSQ) as a tool to measure internal and external stress among the sample.…”

Section: Survey Scale and Measurement Instrumentsmentioning

confidence: 99%

Impact of the COVID-19 pandemic on rural communities: a cross-sectional study in the Sichuan Province of China

et al. 2021

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ObjectiveRecently, China has experienced a considerable influence of the COVID-19 pandemic on the local people’s health and economy. Hence, the current research aims to investigate the psychological and socioeconomic impact of COVID-19 on rural communities in the Sichuan Province of China.MethodsA total of 499 participants (village representatives of Sichuan Province) were approached to partake in a cross-sectional online survey and share their experience regarding the ongoing pandemic. The descriptive statistics and ordinary least squares (OLS) regression were used to analyse the data.ResultsOur analysis revealed that the pandemic has significantly affected local people psychologically, leading to socioeconomic vulnerability. Notably, we find that local households are worried about their income losses regardless of their socioeconomic status (40%–43%), level of income (37%–43%) and industry involvement (38%–43%). However, as income increases, the level of stress decreases. The results further show that government transfer payment is a significant factor in reducing stress due to its reliable and uninterrupted income flow. Contrary to our proposition, the pandemic stress was less observed, which might be because of people’s trust in government and effective antiepidemic countermeasures to contain the disease.ConclusionThis study finds that COVID-19 has a significant impact on local people’s health, psychology and income. This study is one of the first to provide empirical evidence regarding the early health and socioeconomic effects of COVID-19 at the household level in rural communities, which are very important to devise policies to ease the outbreak and prevent further losses at the local community level.

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Farmers’ awareness level and their perceptions of climate change: A case of Khyber Pakhtunkhwa province, Pakistan

Cited by 49 publications

References 25 publications

Factors Affecting Farmer's Climate Risk Perception in Developed and Developing Countries : Evidence From Switzerland and Ghana

Factors Affecting Farmer's Climate Risk Perception in Developed and Developing Countries : Evidence From Switzerland and Ghana

Dataset of non-timber forest products use and impacts of recent climate change in the Upper Madi Watershed, Nepal

Impact of the COVID-19 pandemic on rural communities: a cross-sectional study in the Sichuan Province of China

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