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The USDA’s Risk Management Agency (RMA) made several changes to the crop insurance products available to organic growers for the 2014 crop year. Most notably, a 5 percent premium surcharge was removed and organic-specific transitional yields (t-yields) were issued for the first time. The purpose of this paper is to use farm-level organic crop yield data to analyze the impact of these reforms on producer insurance outcomes and compare the insurance options for new organic growers.

This study uses a unique panel data set of organic corn and soybean yields to analyze the impact of organic crop insurance reforms. Actual Production History values and premium rates are calculated for each farm and crop yield sequence. Producer loss ratios and subsidized premium wedges are compared for yield, revenue and area-risk products before and after the instituted reforms.

Results indicate that RMA succeeded in improving the actuarial soundness of the organic insurance program, though further refinement of organic t-yields may be necessary to accurately reflect the yield potential of organic producers and avoid reductions in program participation.

This paper provides insight into the effectiveness of reforms intended to improve the actuarial soundness of organic crop insurance and demonstrates the effect that the reforms are likely to have on new and existing organic farms. Because this analysis uses data collected independently of RMA and includes farms that may or may not have purchased crop insurance, it avoids the self-selection problems that might affect analyses using crop insurance program data.

This study aims to investigate the link between manufacturer relational embeddedness, manufacturer influence and supplier-customer relational embeddedness and their resulting impact on the network rent.

Leveraging the theoretical lens of social exchange theory and the relational view and utilizing the survey data derived from the transitional triadic supply chains, the authors used multiple regression analysis and the partial least squares (PLS) path model. The regression analysis with interaction effects is used to indicate the network rent, while the PLS path model is applied to investigate the link between manufacturer relational embeddedness, manufacturer influence and supplier-customer relational embeddedness and their subsequent impact on the network rent.

The authors empirically establish that manufacturer relational embeddedness, as a higher-order factor, can comprise both upstream and downstream relational embeddedness. The research also demonstrates that manufacturer relational embeddedness significantly contributes to the manufacturer’s eagerness to form a direct link between the supplier and the customer, and the manufacturers report a significant ability to affect this relationship. Likewise, the study shows that supplier-customer relational embeddedness significantly and positively affects the network rent. In addition, the study implies that supplier-customer relational embeddedness is a mediator between manufacturer influence and the network rent, while manufacturer influence is a suppressor variable, which increases the negative relationship between manufacturer relational embeddedness and supplier-customer relational embeddedness.

The research makes three key contributions. First, this study, as one of very few, simultaneously embraces context, intervention, mechanism and outcome, while investigating the role of manufacturer (its relational embeddedness and influence) in promoting supplier-customer relational embeddedness, and its resulting effect on the network rent. Further on, to the best of the authors’ knowledge, this is the first empirically based study that demonstrates to what extent the manufacturer is capable of fostering supplier-customer relational embeddedness, thus favoring the transposition from the intransitive into the transitive triadic supply chains. Finally, to date, the concept of network rent has been mostly conceptualized as the theoretical construct with no empirical evidence. This research offers guidance for manufacturers in managing the relationships between the supplier and the customer to yield the highest network rent.

This study provides a novel approach to investigating the role of manufacturer and relational embeddedness in yielding the network rent in the transitional triadic supply chains.

This article seeks to examine the reference yield calculation method used in crop insurance rating and provides recommendations that could potentially improve actuarial performance of the Federal crop insurance program.

Conceptual, numerical, and statistical analysis is utilized to evaluate the reference yield calculation method used in the US Federal crop insurance program.

The results suggest that reference yields, which at the time of this study are calculated using National Agricultural Statistics Service (NASS) data, do not accurately represent the average actual yields of the insured pool of producers in the Federal crop insurance program. In addition, it is found that not regularly updating these NASS‐based reference yields exacerbates this problem because these reference yields do not appropriately represent the current state of technological progress.

The empirical analysis leads this paper to recommend a reference yield calculation procedure that utilizes county‐average yields from the risk management agency (RMA) participation database and an approach that uses spatially aggregated average yields in cases when data for a particular county are sparse.

No previous study has investigated the reference yield calculation method in the Federal crop insurance program using both RMA and NASS data sets. Moreover, this study contributes to the small literature that examines various aspects of the actual production history (APH) rating platform and suggests refinements to improve actuarial performance.

The purpose of this paper is to analyze the effects of complex boundary conditions on natural convection of a yield stress fluid in a square enclosure heated from below (uniformly and non-uniformly) and symmetrically cooled from the sides.

The governing equations are solved numerically subject to continuous and discontinuous Dirichlet boundary conditions by Galerkin’s weighted residuals scheme of finite element method and using a non-uniform unstructured triangular grid.

Results show that the overall heat transfer from the heated wall decreases in the case of non-uniform heating for both Newtonian and yield stress fluids. It is found that the effect of yield stress on heat transfer is almost similar in both uniform and non-uniform heating cases. The yield stress has a stabilizing effect, reducing the convection intensity in both cases. Above a certain value of yield number Y, heat transfer is only due to conduction. It is found that a transition of different modes of stability may occur as Rayleigh number changes; this fact gives rise to a discontinuity in the variation of critical yield number.

Besides the new numerical method based on the finite element and using a non-uniform unstructured grid for analyzing natural convection of viscoplastic materials with complex boundary conditions, the originality of the present work concerns the treatment of the yield stress fluids under the influence of complex boundary conditions.

The purpose of this paper is to evaluate the Dual Use (DU) Option – a crop insurance policy created by the 2018 Farm Bill – relative to other policies available to dual-purpose annual forage producers. The new policy combines existing rainfall-based policies for annual forage crops and multi-peril policies for grain, allowing coverage for multiple crop uses on the same acres during the same growing season.

The paper uses a simulation model to examine crop insurance choices for a typical Texas dual-purpose wheat farm. The certainty equivalent (CE) of wealth is used to rank choices within and between three insurance plans and to analyze the effects of those choices over a range of producer risk aversion levels and for three cases of yield expectations.

The DU Option is more preferred as risk aversion increases, but it is not universally preferred. Therefore, while the policy can be a viable risk management tool, certain restrictions may be limiting its effectiveness.

The findings of this paper can help explain farm-level decision making related to dual-purpose annual forage crop insurance program choices.

This paper contributes to the literature by documenting a new crop insurance program made available in the 2018 Farm Bill and provides insights into producers' possible choices by evaluating extensive scenarios.

The aim of this paper is to show how provisions of the Supplemental Revenue Assistance Payments (SURE) program impacts production practices, and empirically examine changes in crop insurance participation rates as a means of measuring producer responses to the program.

The structure of the SURE program is described and a stylized theoretical model is used to show the SURE program's effects on farm‐level crop insurance and production decisions. A county‐level cross‐sectional empirical specification with regional fixed effects is used to test the hypothesis that producers who are most likely to benefit from production practice re‐optimization are more likely to participate in crop insurance.

Results from empirical analyses of corn, soybean, and wheat production areas show that the SURE program has had substantial impacts on crop insurance participation by producers who are more likely to receive SURE indemnities and exploit moral hazard opportunities.

Because the program has only recently been introduced, empirical estimates of the program's long‐run impacts are not estimable.

Results indicate that the program can have unexpected market consequences, with increased frequency and size of SURE indemnity claims than the Congressional Budget Office anticipated and increases in aggregate tax payer subsidies for both the crop insurance and SURE program. These outcomes can have important implications on motivating a restructuring of the program in the next farm bill.

Increased tax payer expenditures on the SURE and crop insurance programs in the form of subsidies can lead to non‐trivial reductions in social welfare.

This research is the first to develop a rigorous model of the SURE program's impacts on producer responses and associated effects on crop insurance participation. The study also provides empirical evidence of these effects.

Winner of the 2014 EFMD competition for best case on Indian Management Issues and Opportunities.

After a highly successful third round of funding in 2012, Gaurav Jain, founder of quick service restaurant chain Mast Kalandar, was looking to expand. In addition to opening new stores in other cities, Jain was also hoping to increase the profitability of his existing stores in Bangalore, Hyderabad, Chennai, and Pune. He needed to fully understand the financials of his current operations and identify the key drivers of success at the stores, at both the city and corporate levels. With this understanding, he would be able to evaluate how best to improve the performance of existing outlets and to choose an entry strategy for new cities. Students are asked to develop a financial model for outlets and use it to compare different growth strategies.

After analyzing this case, students will be able to:

• Assess the strategic and operational tradeoffs being made by the CEO of a company in a growing foodservice sector of an emerging market as he establishes and grows his enterprise

• Build a financial model for outlet operations that identifies key drivers of performance and allows for a comparison between different growth strategies

• Strategically prioritize growth opportunities for a company in response to an influx of new capita

Assess the strategic and operational tradeoffs being made by the CEO of a company in a growing foodservice sector of an emerging market as he establishes and grows his enterprise

Build a financial model for outlet operations that identifies key drivers of performance and allows for a comparison between different growth strategies

Strategically prioritize growth opportunities for a company in response to an influx of new capita

A growing response in the development of hybrid composites to conquer the deficiency of neat composites has provoked doing this work. Thermoplastic Polycarbonate material offers better impact toughness with low structural weight. There is a little/no information available over the selected sandwich hybrid composite prepared from woven E-Glass and polycarbonate sheet. The purpose of this paper is to understand the response of the novel hybrid structure under tensile, flexural, interlaminar shear and impact loading conditions.

The hand-layup technique is used for fabricating the hybrid composites in the laminate configuration. The hybrid composites are prepared with a total fiber content of 70 percent weight fractions. The effect of the percentage of reinforcement on mechanical properties is evaluated experimentally as per American society for testing materials standard test methods. The damaged mechanisms of failed samples and fractured surfaces are well analyzed using vision measuring system and scanning electron microscopy.

A decline in densities of hybrid composites up to 22.5 percent is noticed with reference to neat composite. An increase in impact toughness up to 40.73 percent is marked for hybrid laminates owing to the ductile nature of PC. Delamination is identified to be the major mode of failure apart from fiber fracture/pull-out, matrix cracking in all the static loading conditions.

The response of novel hybrid composite reported has been explored for the first time in this paper. The outcome of experimental work revealed that hybridization offered lightweight structures with improved transverse impact toughness as compared to conventional composite.