Factors Affecting Adoption of Cow-Calf Production Practices in Oklahoma

Abstract

Most technology adoption research has focused on crops. Primary data were used to determine differences in management practices among two groups of Oklahoma cow-calf producers based on herd size and cattle income dependence. Significant differences were noted between two groups of producers (smaller operations with less dependence on cattle versus larger with more dependence on cattle) in 79% of the management practices examined. Logit models determined factors influencing the probability of adopting 17 recommended practices. Important factors included the firm goal to choose practices that reduce labor, income dependence on cattle, human capital, and size of operation.

Factors Affecting Adoption of Recommended Cauliflower Production Technology in Nepal

“…According to De Souza et al (1993), farmers with at least a high school education have a 20 % increase in the likelihood of adoption. This finding is also in line with the past reports by Mussei et al (2001), Ward et al (2008) and .…”

Tipología de las explotaciones ganaderas de bovinos doble propósito en Sinaloa, México

“…There are many studies examining the use of technological components or factors that limit the application of innovations in livestock production systems (32)(33)(34) . In the present study, we identified that the use of technological innovations is low and very similar between producers (innovations related to food and use fodder less than 16 %, using concentrate was less than 11 %, milk management practices was between 22 and 11 %, innovations related to reproductive management was less than 6 %; Tables 4, 5).…”

Best Management Practices to Enhance Water Quality: Who is Adopting Them?

“…Several studies about the adoption of new technologies and practices in agriculture revealed that producer's socio-economic attributes play an important role (e.g., Adesina and Chianu, 2002;Banerjee et al, 2008;Kim, Gillespie, and Paudel, 2005;Nagubadi et al, 1996;Nkamleu and Adesina, 2000;Paudel et al, 2008;Rahm and Huffman, 1984;Ward et al, 2008). The age of the primary producer is represented by the variable AGE.…”

“…9 As BMPs require good management and decisions making skills to obtain optimal results, it can be conjectured that education attainment of the primary producer is likely to significantly influence the decision to adopt a BMP Gillespie, Kim, and Paudel, 2007;Paudel et al, 2008;Ward et al, 2008). The average of this ordered variable centers between technical and college degrees.…”

“…Our analysis is designed to shed some light on the factors conditioning adoption and hence provide valuable information for the design of government programs encouraging adoption. Our analysis builds on a rich literature pertaining to technology or practice adoption by agricultural producers (e.g., Adesina and Chianu, 2002;Banerjee et al, 2008;El-Osta and Morehart, 1999;Gillespie, Kim, and Paudel, 2007;Kim, Gillespie, and Paudel, 2005;Paudel et al, 2008;Rahelizatovo and Gillespie, 2004;Rahm and Huffman, 1984;Van Vuuren, Larue, and Ketchabaw, 1995;Ward et al, 2008). The empirical results can be used to tailor incentives and promotional efforts to achieve BMP adoption objectives.…”