An International Comparison of the Effects of Government Agricultural Support on Food Budget Shares

This study evaluates econometrically the effect of government support to agriculture on a measure of the affordability of food in 10 Organization for Economic Cooperation and Development (OECD) countries. The panel model we construct specifically utilizes two values calculated by the OECD: Producer Support Estimates as a percentage of gross farm receipts and the Consumer Nominal Protection Coefficient. These two variables represent transfers from taxpayers to agricultural producers through government programs and transfers from consumers to government through protectionist measures, respectively. By using dummy variables, we find implications for groups of countries on the basis of their relative levels of support and protection.agricultural policy, obesity, Agribusiness, Agricultural and Food Policy, Food Consumption/Nutrition/Food Safety, I18, Q18,

Incentives Matter: Assessing Biofuel Policies in the South

As a result of the increase in the real cost of fossil fuel-based energy in recent years, federal and state governments have taken a more active role in energy policy by creating incentives to develop alternative sources of energy, including biofuels. However, policymakers often become focused on the specific type of energy and not the energy services consumers ultimately value. The lack of recognition of energy as a commodity results in policies that ignore the characteristics of the associated markets: easy entry and exit, no barriers to entry, and sensitivity to changes in supply and demand. Consequently, energy industries may fail to arise because entrepreneurs must be able to account for all costs and earn—at a minimum—a competitive return on the investment. This article evaluates the options available to policymakers related to biofuels, which are of particular concern to the South, and includes an assessment of the knowledge base on which policy decisions are made.alternative energy, biofuels, energy policy, Resource /Energy Economics and Policy, Q41, Q42, Q48,

INVESTIGATING THE IMPLICATIONS OF MULTI-CROP REVENUE INSURANCE FOR PRODUCER RISK MANAGEMENT

This study investigates the potential for alternative multi-crop revenue insurance designs in comparison to single crop yield and revenue insurance designs. A non-parametric multi-crop insurance model is developed which subsumes the single crop designs. The results compare alternative designs in terms of rate levels and risk reduction gains for representative Mississippi producers.crop insurance, revenue insurance, risk, Risk and Uncertainty,

The Effect of Changing Government Subsidy Programs: An Analysis of Revenue at the Farm level

Producer revenue is simultaneously simulated for several hundred county-specific representative farms. The effects of current and alternative commodity programs are analyzed. In particular, two variations of revenue-triggered programs similar to plans proposed by the National Corn Growers Association are evaluated.Risk, commodity policy, simulation, Agricultural and Food Policy, Risk and Uncertainty, Q180,

Crop Supply Response under Risk: Impacts of Emerging Issues on Southeastern U.S. Agriculture

In this paper we consider factors that affect both crop prices and yields in order to examine supply responses of major crops in the Southeast. Due to the variable nature of crop production in the Southeast, previous studies that ignore price and yield risk may fail to capture one of the salient features of the region’s agriculture. Our results indicate supply elasticity values for corn, cotton, and soybeans of approximately 0.670, 0.506, and 0.195, respectively. Compared with the results of studies in other regions, corn and cotton acres respond more to price changes and soybean acres respond less to price changes.acreage supply, crop supply response model, risk analysis, Southeast U.S. agriculture, Crop Production/Industries, Production Economics, Q12, Q13, Q16,

Moral Responsibility for Computing Artifacts: The Rules and Issues of Trust

“The Rules” are found in a collaborative document (started in March 2010) that states principles for responsibility when a computer artifact is designed, developed and deployed into a sociotechnical system. At this writing, over 50 people from nine countries have signed onto The Rules (Ad Hoc Committee, 2010). Unlike codes of ethics, The Rules are not tied to any organization, and computer users as well as computing professionals are invited to sign onto The Rules. The emphasis in The Rules is that both users and professionals have responsibilities in the production and use of computing artifacts. In this paper, we use The Rules to examine issues of trust

On Using Model For Downstream Responsibility

The authors identify features of software and the software development process that may contribute to the differences in the level of responsibility assigned to the software developers when they make their software available for others to use as a tool in building a second piece of software. They call this second use of the software downstream use

On the Responsibility for Uses of Downstream Software

In this paper we explore an issue that is different from whether developers are responsible for the direct impact of the software they write. We examine, instead, in what ways, and to what degree, developers are responsible for the way their software is used “downstream.” We review some key scholarship analyzing responsibility in computing ethics, including some recent work by Floridi. We use an adaptation of a mechanism developed by Floridi to argue that there are features of software that can be used as guides to better distinguish situations where a software developer might share in responsibility for the software’s downstream use from those in which the software developer likely does not share in that responsibility. We identify five such features and argue how they are useful in the model of responsibility that we develop. The features are: closeness to the hardware, risk, sensitivity of data, degree of control over or knowledge of the future population of users, and the nature of the software (general vs. special purpose)

When AI Moves Downstream

After computing professionals design, develop, and deploy software, what is their responsibility for subsequent uses of that software “downstream” by others? Furthermore, does it matter ethically if the software in question is considered to be artificial intelligent (AI)? The authors have previously developed a model to explore downstream accountability, called the Software Responsibility Attribution System (SRAS). In this paper, we explore three recent publications relevant to downstream accountability, and focus particularly on examples of AI software. Based on our understanding of the three papers, we suggest refinements of SRAS

Lipid coated liquid crystal droplets for the on-chip detection of antimicrobial peptides

We describe a novel biosensor based on phospholipid-coated nematic liquid crystal (LC) droplets and demonstrate the detection of Smp43, a model antimicrobial peptide (AMP) from the venom of North African scorpion Scorpio maurus palmatus. Mono-disperse lipid-coated LC droplets of diameter 16.7 ± 0.2 μm were generated using PDMS microfluidic devices with a flow-focusing configuration and were the target for AMPs. The droplets were trapped in a bespoke microfluidic trap structure and were simultaneously treated with Smp43 at gradient concentrations in six different chambers. The disruption of the lipid monolayer by the Smp43 was detected (<6 μM) at concentrations well within its biologically active range, indicated by a dramatic change in the appearance of the droplets associated with the transition from a typical radial configuration to a bipolar configuration, which is readily observed by polarizing microscopy. This suggests the system has feasibility as a drug-discovery screening tool. Further, compared to previously reported LC droplet biosensors, this LC droplet biosensor with a lipid coating is more biologically relevant and its ease of use in detecting membrane-related biological processes and interactions has the potential for development as a reliable, low-cost and disposable point of care diagnostic tool