Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: KerryByrnes4 Document Number: D01554
Notes:
Kerry J. Byrnes Collection, Draft for review and comment Rural Development Division, Office of Development Resources, Bureau for Latin America and the Caribbean, United States Agency for International Development.60 pages.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: KerryByrnes4 Document Number: D01490
Notes:
Kerry J. Byrnes Collection, Draft case studies of the Jamaica Agricultural Development Foundation and the Ecuadorean Foundation for Agricultural Development,9 pages.
12 pages, This study evaluated socioeconomic factors influencing the uptake of regenerative agriculture technologies in the dry lands of Embu County. Semi-structured questionnaires were administered to 400 farm households. Multivariate Probit model (MVP) and percentage were used to analyse the data. The findings of the study indicate that several socioeconomic factors including farming experience, farm size, main occupation, off-farm activities, age, gender, marital status and education level influenced the uptake of various regenerative agriculture technologies. Government and other inventors should take these factors into consideration while making decisions and formulating policies to support the dissemination and uptake of agricultural innovations.
Glenn, B.P. (author), Randel, L. (author), Zimbelman, R.G. (author), Culp, A. (author), and National Association of State Departments of Agriculture, Arlington, VA
The Randel Group, Alexandria, VA
Georgetown, TX
Format:
Journal article
Publication Date:
2015-07-16
Published:
USA: Glenn, Randel, Zimbelman and Culp
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 164 Document Number: D08218
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.
