In: Kim, GwanSeon, and Tyler Mark. "Impacts of corn price and imported beef price on domestic beef price in South Korea." Agricultural and Food Economics 5.1 (2017): 5.
In: Kim, GwanSeon, and Tyler Mark. "Impacts of corn price and imported beef price on domestic beef price in South Korea." Agricultural and Food Economics 5.1 (2017): 5.
This paper reviews the impact of the rewards and recognition scheme on curriculum reform in higher vocational education (HVE) in China. In this scheme, teachers and students can win rewards and obtain recognition through curriculum competitions and student skill competitions conducted by the government. It has been used to encourage and to support colleges and teachers to implement HVE curriculum reform. The qualitative research project into HVE curriculum reform reported here identified both the facilitative and inhibitory effects of the scheme on curriculum reform. Discipline heads' perspectives of these influences were investigated through in-depth interviews. The scheme was seen as motivating just a slight majority of discipline heads to implement curriculum reform and as providing financial support in doing so. The discipline heads, though, also indicated that they were discouraged by the scheme's misleading guidelines, its inappropriate evaluations of their efforts and its contribution to funding inequalities. ; Arts, Education & Law Group, School of Education and Professional Studies ; Full Text
Beyond Binaries in Education Research explores the ethical, methodological, and social justice issues relating to conceptualizations of binary opposites in education research, particularly where one side of the dualism is perceived to be positive and the other negative. In education research these may include ability-disability, academic-vocational, adult-child, formal-informal learning, male-female, research-practice, researcher-participant, sedentary-mobile, and West-East. Chapters in this book explore the resilience of binary constructions and present conceptual models for moving beyond the
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AbstractAutonomous equipment for crop production is on the brink of commercialization in the United States but federal, state, and local policies could affect commercial viability and hinder adoption. This article examines the farm‐level implications of both a speed restriction and on‐site supervisory regulations. The rules reduce the profitability of autonomous machinery, and for some scenarios autonomous machines are no longer an economically viable alternative to conventional machinery. Regulations also increase the optimal number autonomous machines required and influence production practices. Smaller farms have more flexibility in supporting the rules because they have more to gain from the use of autonomous equipment.
Vermont Farm to Plate 2020 identifies hemp as one of ten emergent agricultural products critical for Vermont's future and has made recommendations for investments in hemp research, education, feasibility, and innovation programs. These investments are essential to develop niche food, feed, fiber, and industrial products, professionals, and markets that go "beyond CBD" (VFP, 2020). This project develops indicators for an important, value added budding crop in Vermont: hemp. For the purposes of this white paper, indicators are "a way to measure, indicate or point to with more or less exactness," or "something used to show the condition of a system" (Feenstra et al., 2005). We focus on the example of hemp to illustrate how emerging value-added crops contribute to sustainable food systems. We use a set of design principles to ensure the applicability of developed indicators for decision making. This framework, its processes, and measures, are transferable to any nascent crop for evaluating economic, environmental, and social sustainability. Our objectives are to: Develop a set of indicators to measure the economic, social, and environmental inputs of hemp in Vermont. Identify techniques and data sources for mining hemp metrics. Evaluate the hierarchical levels of mined data and transecting indicators to inform growing discussions of metric integration and forecasting agricultural food sustainability. Our approach is grounded in the FAO food systems model, Doughnut Economics, which uses the UN Sustainable Development Goals as a foundation to describe "social floors" and planetary boundaries, and the concepts of seven community capitals: political, cultural, human, social, financial, built, and environmental. Our work plan included a two-day virtual workshop with required reading prior to the event, and involved both University researchers and stakeholders representing production, industry, finance, government, and NGOs. We describe 35 metrics to assess the sustainability of hemp in the Vermont economy, environment and community going forward (Figure 2 and Table 1). We also make several recommendations to move the collection of food system metrics forward. General recommendations include: Farmer surveys to specifically address challenges facing farmers growing a novel crop. In hemp this is particularly important, as the crop attracts many who are new to farming, and no one has been able to legally grow it at field scale in the US for the past several generations. Community/consumer surveys to collect data on community needs and impacts of novel value added crops (hemp) Collection and curation of spatial data tied to appropriate metrics Allocation of ARS funds for at least one data professional with skills across data types and methods, including individual, spatial, community level, etc. Funds to build out nutrient mass balance and soil carbon stock models for different soil types and production approaches The use of a grower-friendly tracking App with incentives (GoCrop) Development of a dashboard to easily visualize direction and degree of movement toward a desired state We make more specific recommendations in the Appendix where each metric is described in detail.
Autonomous equipment for crop production is on the verge of technical and economic feasibility, but government regulation may slow its adoption. Key regulatory issues include requirements for on-site human supervision, liability for autonomous machine error, and intellectual property in robotic learning. As an example of the impact of regulation on the economic benefits of autonomous crop equipment, analysis from the United Kingdom suggests that requiring 100% on-site human supervision almost wipes out the economic benefits of autonomous crop equipment for small and medium farms and increases the economies-of-scale advantage of larger farms.
In: Lowenberg-DeBoer , J , Behrendt , K , Ehlers , M-H , Dillon , C , Gabriel , A , Huang , I Y , Kumwenda , I , Mark , T , Meyer-Aurich , A , Milics , G , Olagunju , K O , Pedersen , S M , Shockley , J & Rose , D 2022 , ' Lessons to be learned in adoption of autonomous equipment for field crops ' , Applied Economic Perspectives and Policy , vol. 44 , no. 2 , pp. 848-864 . https://doi.org/10.1002/aepp.13177
Autonomous equipment for crop production is on the verge of technical and economic feasibility, but government regulation may slow its adoption. Key regulatory issues include requirements for on-site human supervision, liability for autonomous machine error, and intellectual property in robotic learning. As an example of the impact of regulation on the economic benefits of autonomous crop equipment, analysis from the United Kingdom suggests that requiring 100% on-site human supervision almost wipes out the economic benefits of autonomous crop equipment for small and medium farms and increases the economies-of-scale advantage of larger farms.
Autonomous equipment for crop production is on the verge of technical and economic feasibility, but government regulation may slow its adoption. Key regulatory issues include requirements for on-site human supervision, liability for autonomous machine error, and intellectual property in robotic learning. As an example of the impact of regulation on the economic benefits of autonomous crop equipment, analysis from the United Kingdom suggests that requiring 100% on-site human supervision almost wipes out the economic benefits of autonomous crop equipment for small and medium farms and increases the economies-of-scale advantage of larger farms.
AbstractAutonomous equipment for crop production is on the verge of technical and economic feasibility, but government regulation may slow its adoption. Key regulatory issues include requirements for on‐site human supervision, liability for autonomous machine error, and intellectual property in robotic learning. As an example of the impact of regulation on the economic benefits of autonomous crop equipment, analysis from the United Kingdom suggests that requiring 100% on‐site human supervision almost wipes out the economic benefits of autonomous crop equipment for small and medium farms and increases the economies‐of‐scale advantage of larger farms.