Appraisal of the Level of Awareness and Adaptation to Climate Change on Cassava Production in Ondo State, Nigeria

2016 ◽  
Vol 10 (4) ◽  
pp. 1-6
Author(s):  
B Akinwalere ◽  
M Adeleke
Keyword(s):  
Climate Change ◽  
Adaptation To Climate Change ◽  
Cassava Production ◽  
Ondo State

scholarly journals Economic Implications of Smallholders’ Collaborative Groupings on Household Income and Adaptability to Climate Change in Nigeria

2021 ◽  
Vol 13 (24) ◽  
pp. 13668
Author(s):  
Edamisan Stephen Ikuemonisan ◽  
Igbekele Amos Ajibefun
Keyword(s):  
Climate Change ◽  
Household Income ◽  
Management Strategies ◽  
Farm Income ◽  
Probit Regression ◽  
Adaptation To Climate Change ◽  
Economic Implications ◽  
Ondo State ◽  
Household Farm ◽  
The Impact

This study assessed the impact of smallholders’ collaborative groupings on farm household income and their decision to adapt management strategies to mitigate the effects of climate change within their farming areas. A sample of 225 households’ farms from the participating 15 LGAs in Ondo State were randomly selected. However, only 200 questionnaires were properly filled and returned. The study deployed both descriptive and inferential statistics (t-test and regression models) to achieve its objectives. The study found that only 20% of the households have strategies to ensure a smooth succession of the management in the family farm. The results of the probit regression analysis showed that the membership of collaborative groupings significantly and positively influenced the per capita household farm income and households’ decision to adapt management strategies to mitigate the effects of climate change. In addition, findings from the study also empirically validated that farmers who adapted to the climate earned a higher farm income than non-adapters. On the strength of these findings, the study recommends that more farmers should be encouraged to form collaborative groupings where they can also share in the numerous benefits of being in such a network, including the access to more information on adaptation to climate change.

scholarly journals CO-INTEGRATION AND ERROR CORRECTION MODELING OF AGRICULTURAL OUTPUT: THE CASE OF CASSAVA IN ONDO STATE, NIGERIA

2021 ◽  
Vol 3 (3) ◽  
pp. 72-79
Author(s):  
Adeyose Emmanuel Akinbola
Keyword(s):  
Climate Change ◽  
Food Security ◽  
Relative Humidity ◽  
Error Correction ◽  
National Bureau ◽  
Negative Effects ◽  
Cassava Production ◽  
Ondo State ◽  
Error Correction Modeling ◽  
Adf Test

Cassava is an important food crop in Nigeria providing households food security and income. Cassava production has received government and stakeholders’ intervention dating back to the 1970s. Nevertheless, increased and sustainable production of the crop is under threat by exogenous factors of climate change and variability. This study investigates this concern by assessing the effects of climate change on cassava output in Ondo state, Nigerian using Co-integration and Error-Correction Modelling (ECM). Time series (1971-2010) data were sourced from the Central Bank of Nigeria (CBN), National Bureau of Statistics (NBS) Abuja, Nigerian Meteorological Agency Oshodi, Lagos. The results of the Augmented Dickey-Fuller (ADF) test revealed that all variables (cassava yield and climate variables; rainfall, temperature, and relative humidity) all have unit root problems (non-stationary) but become stationary after the first difference 1(1). The results confirmed a long-run equilibrium relationship between all identified variables as the absolute values of the variables are greater than their critical values at a 5% level of significance for both trace statistics and maximal-eigen values. The ECM result shows that rainfall exerts a positive effect, while temperature and relative humidity exert negative effects on cassava production. This indicates the sensitivity of cassava to climate change in the study area. Thus, increased and sustained production of cassava for household’s food security income would be attainable by designing programmes and policies geared toward reducing the effect of climate change. Keywords: Co-integration, Error-Correction Modeling, Cassava Output, Climate Variability, Nigeria.

scholarly journals Farmers adaptation to climate change in Ondo State, Nigeria: A gender analysis

2014 ◽  
Vol 7 (2) ◽  
pp. 30-35 ◽  
Author(s):  
Owombo P.T. ◽  
Koledoye G.F. ◽  
Ogunjimi S.I. ◽  
Akinola A.A. ◽  
Deji O.F. ◽  
...  
Keyword(s):  
Climate Change ◽  
Gender Analysis ◽  
Adaptation To Climate Change ◽  
Ondo State

DISSEMINATION AND USE OF INFORMATION ON CLIMATE CHANGE AND VARIABILITY: A CASE STUDY OF FARMERS IN MALUGA AND CHIBELA VILLAGES IN SEMI-ARID CENTRAL TANZANIA

Mousaion ◽  
2016 ◽  
Vol 33 (3) ◽  
pp. 1-24
Author(s):  
Emmanuel Elia ◽  
Stephen Mutula ◽  
Christine Stilwell
Keyword(s):  
Climate Change ◽  
Data Collection ◽  
Diffusion Of Innovations ◽  
Agricultural Development ◽  
Agricultural Sector ◽  
Policy Framework ◽  
Accurate Information ◽  
Adaptation To Climate Change ◽  
Climate Change And Variability ◽  
Semi Arid

This study was part of broader PhD research which investigated how access to, and use of, information enhances adaptation to climate change and variability in the agricultural sector in semi-arid Central Tanzania. The research was carried out in two villages using Rogers’ Diffusion of Innovations theory and model to assess the dissemination of this information and its use by farmers in their adaptation of their farming practices to climate change and variability. This predominantly qualitative study employed a post-positivist paradigm. Some elements of a quantitative approach were also deployed in the data collection and analysis. The principal data collection methods were interviews and focus group discussions. The study population comprised farmers, agricultural extension officers and the Climate Change Adaptation in Africa project manager. Qualitative data were subjected to content analysis whereas quantitative data were analysed to generate mostly descriptive statistics using SPSS.  Key findings of the study show that farmers perceive a problem in the dissemination and use of climate information for agricultural development. They found access to agricultural inputs to be expensive, unreliable and untimely. To mitigate the adverse effects of climate change and variability on farming effectively, the study recommends the repackaging of current and accurate information on climate change and variability, farmer education and training, and collaboration between researchers, meteorology experts, and extension officers and farmers. Moreover, a clear policy framework for disseminating information related to climate change and variability is required.

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