Factors associated with the adoption of recommended practices for maize production in the Kainji lake basin of Nigeria

Igodan, Chris O.; Ohaji, Patrick E.; Ekpere, J. A.

doi:10.1016/0269-7475(88)90013-x

Cited by 29 publications

(29 citation statements)

References 4 publications

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“…Based on literature in the area of adaptation to climate change (i.e., Norris and Bati 1987, Igoden et al 1988, Lin 1991, Maddison 2006, Deressa et al 2008) and literature on warning response (e.g., Edwards 1993, Farley et al 1993, Liu et al 1996, Balluz et al 2000 we expected that the respondents with more formal education would be able to better access, understand, and interpret warning messages. The results revealed that education did seem to make a difference in this regard when compared to noneducated respondents.…”

Section: Discussionmentioning

confidence: 99%

“…A higher level of education appears to be associated with access to information on improved technologies and productivity consequences (Norris and Bati 1987). Evidence from various sources indicates that there is a positive relationship between the education level of the household head and the adoption of improved technologies (Igoden et al 1988, Lin 1991) and adaptation to climate change (Maddison 2006). Therefore, farmers with higher levels of education are more likely to better adapt to climate change (Deressa et al 2008).…”

Section: Formal Education As a Determinant Of Climate Adaptive Capacitymentioning

confidence: 99%

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Education as a Determinant of Response to Cyclone Warnings: Evidence from Coastal Zones in India

Sharma¹,

Patwardhan²,

Patt³

2013

E&S

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ABSTRACT. Education is often considered a means for enhancing adaptive capacity, based on the consideration that formal education is likely to improve the ability of individuals to evaluate risks and respond to warning information. We explore the relation between the level and nature of education and enhanced ability to respond to tropical cyclone risk. We make a distinction between formal school-based education and nonformal education in the form of traditional knowledge of environmental precursors and conditions that may be associated with tropical cyclone occurrence. We evaluate two possible routes through which education could lead to enhanced ability to respond to tropical cyclone risk; first, education, both formal and nonformal, may lead to a better ability to access, understand, and interpret warning information and hence lead to an appropriate response to the warning; and second, formal education may be associated with greater income levels and socioeconomic status and thus with greater resources for evacuating in response to cyclone warning. We find that the hypotheses regarding the link between formal education and adaptive capacity are actually not well supported by empirical data. On the other hand nonformal education in the form of traditional knowledge for predicting cyclones based on environmental precursors emerged as a significant determinant of the ability to understand and interpret warning information and provides a strong case for preserving and promoting a hazard-specific traditional knowledge base along with formal education.

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Section: Discussionmentioning

confidence: 99%

Section: Formal Education As a Determinant Of Climate Adaptive Capacitymentioning

confidence: 99%

Education as a Determinant of Response to Cyclone Warnings: Evidence from Coastal Zones in India

Sharma¹,

Patwardhan²,

Patt³

2013

E&S

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“…Previous studies have shown that there is a positive relationship between educational level of the household head and adoption of improved technologies (Igodan et al, 1990). This implies that, farmers with higher levels of education are more likely to use improved technologies in order to adapt to climate change.…”

Section: Factors Influencing Farmers' Selection Of Adaptation Practicesmentioning

confidence: 97%

Determinants of farmers’ adaptation to climate change: A micro level analysis in Ghana

Ndamani

Watanabe

2016

Sci. agric. (Piracicaba, Braz.)

155

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This study analyzed socio-economic factors that influence farmers' adaptation to climate change in agriculture. Perceptions regarding long-term changes in climate variables and the rate of occurrence of weather extremes were also investigated. Additionally, farmers' perceived barriers to the use of adaptation practices were identified and ranked. A total of 100 farm-households were randomly selected from four communities in the Lawra district of Ghana and data were collected through semi-structured questionnaires, focused group discussions and field observations. A logistic regression model and weighted average index were used to analyze the data. The results showed that 87 % of respondents perceived a decrease in rainfall amount, while 82 % perceived an increase in temperature over the past 10 years. Results of the weighted average index indicate that dry spell and drought have a higher annual rate of occurrence than flood. Empirical results of the logistic regression model showed that education, household size, annual household income, access to information, credit and membership of farmer-based organization are the most important factors that influence farmers' adaptation to climate change. The main constraints on adaptation include unpredictability of weather, high farm input cost, lack of access to timely weather information and water resources. The policy implication of this study is that governments should mainstream barriers to, and choice factors of, adaptation practices to climate change related projects and programs.

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“…Social networks in the community (Apata et al, 2009;Deressa et al, 2009), the participation in social activities in rural areas (Igodan et al, 1988) or access to agricultural services (Hassan & Nhemachena, 2008;Maddison, 2007;Nhemachena & Hassan, 2007) have proven to play an important role in enhancing social learning of farmers. As the community has experienced high vulnerability, the social networks are tightly coupled between stakeholders and farmers, providing them with some foundation to start to learn together.…”

Section: Discussionmentioning

confidence: 99%

“…Evidence from various sources indicates there is a positive relationship between education level of the household head (Maddison, 2007;Obayelu et al, 2014); age of head of household (Bayard et al, 2007) and diversification of adaptation to climate change (Igodan et al, 1988;Maddison, 2007). This implies that farmers with higher levels of education and more farming experiences are more likely to adapt better to climate change.…”

mentioning

confidence: 99%

Developing adaptive capacity in times of climate change in central rural Vietnam: exploring smallholders’ learning and governance

Le¹

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Factors associated with the adoption of recommended practices for maize production in the Kainji lake basin of Nigeria

Cited by 29 publications

References 4 publications

Education as a Determinant of Response to Cyclone Warnings: Evidence from Coastal Zones in India

Education as a Determinant of Response to Cyclone Warnings: Evidence from Coastal Zones in India

Determinants of farmers’ adaptation to climate change: A micro level analysis in Ghana

Developing adaptive capacity in times of climate change in central rural Vietnam: exploring smallholders’ learning and governance

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