Impact of cooperative membership on farmers’ uptake of technological innovations in Southwest Nigeria

© 2014 The Author(s). Published by Routledge. The underutilization of agriculture in Nigeria with attendant low yield per hectare is generally attributed to lack of innovation to cope with the challenges of climate change and land degradation. In this study, using information from 326 farmers in Southwest Nigeria, we examined the relative impact of cooperative membership compared with the effects of other socioeconomic factors on farmers’ adoption of technological innovations. Cooperative membership has a high impact compared to other socioeconomic factors such as land access, gender, and educational status. It is recommended that intervention programs in the agricultural sector should focus more attention on strengthening and expanding farmers’ cooperatives for better diffusion and use intensity of innovations and better linking social capital with extension agencies, banks, markets, and agricultural value chains

Farmers' mobilisation of social capital for beneficial uptake of technological innovations in southwest Nigeria

Copyright © 2014 Inderscience Enterprises Ltd. Social capital has been identified as an important factor influencing successful uptake of technological innovations among small-scale, rural farmers in developing countries. This study draws on descriptive statistics and regression analysis of data obtained from 325 farmers in southwest Nigeria to examine the effectiveness of social capital mobilised by rural farmers. The results indicate farmers' cooperatives are, because of their stronger organisational capacity and formal structure, able to generate more effective social capital for information sharing and linking up with important external organisations providing technical and financial support for successful adoption of innovations

Impact of cooperative membership on farmers’ uptake of technological innovations in Southwest Nigeria

© 2014 The Author(s). Published by Routledge. The underutilization of agriculture in Nigeria with attendant low yield per hectare is generally attributed to lack of innovation to cope with the challenges of climate change and land degradation. In this study, using information from 326 farmers in Southwest Nigeria, we examined the relative impact of cooperative membership compared with the effects of other socioeconomic factors on farmers’ adoption of technological innovations. Cooperative membership has a high impact compared to other socioeconomic factors such as land access, gender, and educational status. It is recommended that intervention programs in the agricultural sector should focus more attention on strengthening and expanding farmers’ cooperatives for better diffusion and use intensity of innovations and better linking social capital with extension agencies, banks, markets, and agricultural value chains

Institutional barriers to successful innovations: Perceptions of rural farmers and key stakeholders in southwest Nigeria

Diffusion studies in sub-Saharan Africa have typically focused on the impact of traditional adoption factors on uptake of technological innovations. This study draws on semi-structured interviews of rural farmers and in-depth interviews of stakeholders in southwest Nigeria to examine the impact of institutional factors on the success of technological innovations. The findings indicate that government policies, markets, financial institutions, infrastructure and other institutional conditions play significant role on the success of technological innovations. A successful innovation package should integrate institutional reforms with promotion of innovative inputs, and vibrant farmers’ cooperatives can be at the heart of such agrarian reform. This is the accepted manuscript of an article whose final and definitive form has been published in African Journal of Science, Technology, Innovation and Development 2014, 6(4) © 2014. Institutional barriers to successful innovations: Perceptions of rural farmers and key stakeholders in southwest Nigeria is available online at: http://www.tandfonline.com/10.1080/20421338.2014.96603

Using ERA-Interim reanalysis for creating datasets of energy-relevant climate variables

The construction of a bias-adjusted dataset of climate variables at the near surface using ERA-Interim reanalysis is presented. A number of different, variable-dependent, bias-adjustment approaches have been proposed. Here we modify the parameters of different distributions (depending on the variable), adjusting ERA-Interim based on gridded station or direct station observations. The variables are air temperature, dewpoint temperature, precipitation (daily only), solar radiation, wind speed, and relative humidity. These are available on either 3 or 6 h timescales over the period 1979–2016. The resulting bias-adjusted dataset is available through the Climate Data Store (CDS) of the Copernicus Climate Change Data Store (C3S) and can be accessed at present from ftp://ecem.climate.copernicus.eu. The benefit of performing bias adjustment is demonstrated by comparinginitial and bias-adjusted ERA-Interim data against gridded observational fields

Assessing the association between all-cause mortality and multiple aspects of individual social capital among the older Japanese

<p>Abstract</p> <p>Background</p> <p>Few prospective cohort studies have assessed the association between social capital and mortality. The studies were conducted only in Western countries and did not use the same social capital indicators. The present prospective cohort study aimed to examine the relationships between various forms of individual social capital and all-cause mortality in Japan.</p> <p>Methods</p> <p>Self-administered questionnaires were mailed to subjects in the Aichi Gerontological Evaluation Study (AGES) Project in 2003. Mortality data from 2003 to 2008 were analyzed for 14,668 respondents. Both cognitive and structural components of individual social capital were collected: 8 for cognitive social capital (trust, 3; social support, 3; reciprocity, 2) and 9 for structural social capital (social network). Cox proportional hazard models stratified by sex with multiple imputation were used. Age, body mass index, self-rated health, current illness, smoking history, alcohol consumption, exercise, equivalent income and education were used as covariates.</p> <p>Results</p> <p>During 27,571 person-years of follow-up for men and 29,561 person-years of follow-up for women, 790 deaths in men and 424 in women were observed. In the univariate analyses for men, lower social capital was significantly related to higher mortality in one general trust variable, all generalised reciprocity variables and four social network variables. For women, lower social capital was significantly related to higher mortality in all generalised reciprocity and four social network variables. After adjusting for covariates, lower friendship network was significantly associated with higher all-cause mortality among men (meet friends rarely; HR = 1.30, 95%CI = 1.10-1.53) and women (having no friends; HR = 1.81, 95%CI = 1.02-3.23). Among women, lower general trust was significantly related to lower mortality (most people cannot be trusted; HR = 0.65, 95%CI = 0.45-0.96).</p> <p>Conclusions</p> <p>Friendship network was a good predictor for all-cause mortality among older Japanese. In contrast, mistrust was associated with lower mortality among women. Studies with social capital indices considering different culture backgrounds are needed.</p