Ene, Leonard S. O. (author / Director, National Root Crops Research Institute, Umudike, Nigeria)
Format:
Conference paper
Publication Date:
1990
Published:
Nigeria
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 93 Document Number: C06880
Notes:
see C06875 for complete proceedings, In: Lawani, S.M. and Odemwingie, T., eds. Media forum for agriculture : proceedings of the inauguration ceremony, IITA, Ibadan, April 9, 1990. Ibadan, Nigeria : International Institute of Tropical Agriculture, 1990. p. 20-22
16 pages., via online journal., To date, little is known about how information flows within farmer groups and how extension interventions could be designed to deliver combined information on agriculture and nutrition. This study uses unique network data from 815 farm households in Kenya to investigate the structure and characteristics of agricultural and nutrition information networks within farmer groups. Dyadic regressions are used to analyze the factors influencing link formation for the exchange of agricultural and nutrition information. In addition, we apply fixed‐effects models to identify the characteristics of central persons driving information exchange in the two networks, as well as potentially isolated persons, who are excluded from information networks within their farmer groups. Our results show that nutrition information is exchanged within farmer groups, although to a limited extent, and mostly flows through the existing agricultural information links. Thus, diffusing nutrition information through agricultural extension systems may be a viable approach. Our findings further suggest that group leaders and persons living in central locations are important drivers in the diffusion of information in both networks and may thus serve as suitable entry points for nutrition‐sensitive extension programs. However, we also identify important heterogeneities in network characteristics. In particular, nutrition information is less often exchanged between men and women, and some group members are completely isolated from nutrition information exchange within their farmer groups. We derive recommendations on taking these differences in network structure and characteristics into account when designing nutrition‐sensitive extension programs.
Jäckering, Lisa (author), Gödecke, Theda (author), Wollni, Meike (author), and Department of Agricultural Economics and
Rural Development, University of Goettingen,
Goettingen, Germany
Format:
Online journal article
Publication Date:
2019-07-10
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 114 Document Number: D10997
16 pages., Wiley Online Library, To date, little is known about how information flows within farmer groups and how extension interventions could be designed to deliver combined information on agriculture and nutrition. This study uses unique network data from 815 farm households in Kenya to investigate the structure and characteristics of agricultural and nutrition information networks within farmer groups. Dyadic regressions are used to analyze the factors influencing link formation for the exchange of agricultural and nutrition information. In addition, we apply fixed-effects models to identify the characteristics of central persons driving information exchange in the two networks, as well as potentially isolated persons, who are excluded from information networks within their farmer groups. Our results show that nutrition information is exchanged within farmer groups, although to a limited extent, and mostly flows through the existing agricultural information links. Thus, diffusing nutrition information through agricultural extension systems may be a viable approach. Our findings further suggest that group leaders and persons living in central locations are important drivers in the diffusion of information in both networks and may thus serve as suitable entry points for nutritionsensitive extension programs. However, we also identify important heterogeneities in network characteristics. In particular, nutrition information is less often exchanged between men and women, and some group members are completely isolated from nutrition information exchange within their farmer groups. We derive recommendations on taking these differences in network structure and characteristics into account when designing nutrition-sensitive extension programs.
Feliciano, Gloria D. (author / University of the Philippines)
Format:
Conference paper
Publication Date:
1974
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 31 Document Number: C12497
Notes:
Francis C. Byrnes Collection; See B03082, Pages 195-204 in Robert H. Crawford and William B. Ward (eds.), Communication strategies for rural development. Proceedings of the Cornell-CIAT international symposium, Cali, Colombia, March 17-22, 1974. Cornell University, Ithaca, NY. 278 p.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Document Number: C17259
Notes:
Pages 199-213 in Carine Alders, Bertus Haverkort and Laurens van Veldhuizen (eds.), Linking with farmers: networking for low-external-input and sustainable agriculture. Intermediate Technology Publications, London, UK. 298 pages.
Pollard, Kelvin (author), Jacobsen, Linda A. (author), and Population Reference Bureau (author)
Format:
Book chapter
Publication Date:
2021-06
Published:
United States: Appalachian Regional Commission
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 205 Document Number: D12620
Journal Title Details:
Online
Notes:
Includes a series of charts and tables detailing personal computer and cellular ownership statistics for each county in Appalachia., 26 pgs, The data contained in this Chartbook describe how residents in the Appalachian Region were faring before the COVID-19 pandemic began in March 2020. As such, these numbers do not measure the social and economic impact of the outbreak. The Chartbook data do, however, provide a benchmark: As data from the pandemic and post pandemic period are released in the coming years, these figures can serve as a point of comparison that ultimately can enable data users to better measure the pandemic’s effect on Appalachia’s social and economic dynamics.
