25 pages, Using linked data from multiple years of the U.S. Census of Agriculture, this study identifies farm and operator characteristics associated with beginning farm survival, growth, and success. Success is defined as continuing in business for 5 years without a decline in farm real estate asset value. The results indicate which types of beginning farms and farmers are likely to survive and grow—information which could be useful in targeting program resources. By identifying policy-amenable variables that correlate with both farm survival and business expansion, the results also suggest possible mechanisms for increasing the success of beginning farms.
19 pages, In today’s globalized world, educators and employers generally agree on the necessity for undergraduate agricultural [ag] students to develop a sound understanding of global ag issues and policy. Because of this, many U.S. universities have promoted internationalizing curriculum and increased international study abroad experiences. However, few studies have examined the impact of international experiences on students’ knowledge and attitudes about international ag issues and policies. This study bridges this gap by identifying the relationship between student knowledge and attitude toward international ag issues and U.S. ag policy, and how international experience and demographic variables play a role in that relationship. Adapted from previous literature, an online survey was developed in 2019 among 196 undergraduate students in ag and non-ag fields to measure student knowledge (global aptitude assessment) and student attitude (attitude index score) towards the importance of global agricultural issues and policy. Results concluded that undergraduate students held a low level of knowledge about global ag issues and policy; in fact, ag students held lower average knowledge scores than non-agricultural students. This emphasizes the urgency for administrators to intentionally design and reevaluate our current curriculum to meet these knowledge gaps. Additionally, study abroad experiences did not contribute to students’ knowledge nor attitudes. The authors discuss several possibilities for such results and highlight the call to similarly reevaluate our study abroad curriculum to be more intentional in impacting student knowledge in global ag food systems and acknowledge differences in policy, getting students excited and interested in the global market.
Agricultural extension officer in Nepal reports on experience with the System of Rice Intensification with which he got acquainted through an article in LEISA magazine.
15pgs, Agriculture is crucial in catering to the increasing demand for food and employment. Thus, adoption of novel technologies is important. Many scientists have developed different theories and models explaining the process of behavioral change relevant to adoption. They are either completely different, similar, or improvements of previously developed models. Therefore, compilation and summarization of these theories and models will support future studies and researchers. Thus, an analysis of literature on technology adoption was conducted. The review was prepared based on literature from various sources spanning around 50 years. The theories and models identified by different studies were compiled and analyzed in this review paper. Many theories and models in agricultural technology adoption such as transtheoretical model, theory of reasoned action, theory of interpersonal behavior, model for innovation-decision process, different versions of technology acceptance model, theory of planned behavior, theory of diffusion of innovation, task-technology fit, technology readiness, unified theory of acceptance and use of technology, expectancy livelihood model, social cognitive theory, and perceived characteristics of innovating theory were compiled. Each theory and model has its own uniqueness, which had explained different aspects of technology adoption process and factors determining the behavioral change. These theories and models included affecting factors such as technological, personal, social, and economical factors. In conclusion, it can be stated that, rather than having a single theory or a model, an integrated and amalgamated form will be more explanatory for technology adoption.
