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.
Wick, Abbey F. (author), Haley, Jean (author), Gasch, Caley (author), Wehlander, Terry (author), Briese, Lee (author), and Samson‐Liebig, Susan (author)
Format:
Online journal article
Publication Date:
2019-06
Published:
Wiley Periodicals, Inc.
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 122 Document Number: D11140
8 pages., via online journal., Farmer adoption of practices to build soil health can be enhanced using a knowledge network supported by programs and resources that incorporate technical, social and experiential learning pathways. University Extension plays a critical role in building and supporting the knowledge network by serving as (a) a boundary organization to create space for conversations to occur, (b) network manager to facilitate learning and (c) builder of social capital to encourage trust in the network. The North Dakota State University (NDSU) Soil Health Program was used to illustrate the above approach. Between 2014 and 2016, 32 informal discussion groups, called Soil Health Café Talks, reached 156 individuals. A knowledge network of all participants was developed using NodeXL. The 10 most influential individuals in the network included two scientists, five farmers, one crop consultant and two Extension specialists. All non‐NDSU participants received an evaluation form. Respondents increased their frequency of discussing cover crops with other individuals and increased sharing equipment across farming operations (i.e., vertical tillage implements and no‐till drills). Of the topics discussed, over 25% of respondents adopted practices using cover crops (interseeding and using cover crops for weed control and adjusting rotations to incorporate cover crops) as a result of attending Café Talks. Respondents also increased their use of NDSU Soil Health online resources such as Twitter (22%), YouTube (23%) and the web page (21%) as follow‐up information to Café Talks. Network‐based approaches have proven to be successful in encouraging on‐farm adoption of soil health‐building practices.
19 pages., via online journal., Agricultural e‐commerce clusters are new phenomena that have emerged in rural China. In examining the case of Shuyang County in Jiangsu Province, this paper puts forward an integrated model revealing the formation mechanism of agricultural e‐commerce clusters. The paper shows that the formation of agricultural e‐commerce clusters involves four processes of technology introduction, technology diffusion, quality crisis, and industrial agglomeration based on elements such as industry bases, e‐commerce platforms, network facilities, logistics services, entrepreneurial talent, local government, and market demand. Rural social networks and imitation behaviors promote technology diffusion by reducing the cost of technology introduction, and industrial agglomeration is found in the economies showing a deepening of labor divisions and geographic agglomeration. Throughout the formation process, a quality crisis may occur due to a race to the bottom and the opportunistic behaviors of local farmers. This work suggests that regional e‐commerce development is a systematic project. Governments of developing countries should not only realize the positive impacts of e‐commerce for the development of the agricultural industry but also recognize the premise and logic of how e‐commerce can play a prominent role.
