555,920 research outputs found

    AN ANALYSIS OF FACTORS INFLUENCING ADOPTION OF BMPS AMONG LOUISIANA SUGARCANE PRODUCERS

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    Multivariate probit analysis of BMP adoption, based on Louisiana sugarcane producer data, indicates that education and cost-sharing programs are effective means of increasing adoption rates. Results also indicate that contemporaneous correlation exists within and between management measures, implying a policy strategy of coordinating education and cost-sharing programs to maximize effectiveness.best management practices, multivariate probit analysis, Farm Management, Research Methods/ Statistical Methods,

    FARMERS' PREFERENCES FOR CROP CONTRACTS

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    An empirical approach combining elements of principal-agent theory and transaction cost economics is used to determine farmers'Â’ preferences for contract terms in crop production. The approach is tested by asking grain farmers to rank contract choices and specify price premiums in simulated case situations. The statistical results indicate that farmers'Â’ preferences for rates of cost sharing, price premiums, and financing arrangements are significantly influenced by asset specialization and uncertainty associated with the case situations, and by selected business and personal characteristics.Farm Management,

    Cost-Sharing as a Financing Mechanism in the Greek Primary Health Care: An Assessment from the Managers’ Perspective

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    Cost-sharing was recently introduced in the Greek Primary Health Care, as a supplementary mechanism to finance spiraling health expenditure and to make patients cost-conscious. A specific questionnaire was distributed to the 188 managers of the health centres in Greece (response rate 93 per cent). The research was conducted from June 2011 to May 2012. Statistical analysis was performed using the Pearson x2 test, the Kolmogorov-Smirnov test, the t-test and the Mann-Whitney test at p<0.05 level of significance. 73 per cent of the managers stated that the introduction of the cost-sharing had a positive impact on patients‟ compliance and 66.3 per cent that the financing mechanism has contributed to cost consciousness from both the patients and personnel. The revenues from medical fees do not cover the running costs of health centres (81.5 per cent) and they do not promote a more effective delivery of services (80 per cent). 61 per cent of managers characterise cost-sharing as a positive step and 80 per cent support the economic autonomy of health centres. Managers stated that cost-sharing has a positive impact on patients‟ cost-consciousness and in the financing of the primary health care in Greece, but this policy option alone doesn‟t assure the financial and administrative viability of the health centres

    Cost-sharing in the Greek Health Centres: The Administrative Personnel Aspects

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    Cost-sharing was introduced in Greece to supplement the state finance and social insurance funds and make patients cost-conscious. A questionnaire was distributed to 193 administrative personnel (response rate 96 per cent). The research was conducted from June 2011 to May 2012. Statistical analysis was performed using the Pearson x2 test, the Kolmogorov-Smirnov test, the t-test and the Mann-Whitney test at p<0.05 level of significance. 92 per cent of the respondents said that patients complied with the payment of fees and 41.5 per cent that their visits to health centres have been reduced. 64 per cent of health centres do not employ only administrative personnel for the collection of medical fees but also nurses, physicians and technicians. At 85 per cent of health centres information technology systems are not used for the collection of medical fees. Although cost-sharing has contributed to the rational use of health centres’ services, it does not sufficiently corresponds to the expectations for effective provision of health care services

    The Important Element Of Revenue Sharing In Arbitrate Client By Indonesian Islamic Banking Profitability

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    This research aimed at understanding the effects of financing risk, cost efficiency, and liquidity on profitability and the impacts on profit sharing. The method used for the research was causality with purposive sampling data collection technique. The analysis model selected was the regression using panel data, namely the data repeatedly observed on the same unit of objects from time to time. The objects of the research was10 Islamic Commercial Banks in Indonesia with secondary data in the form of financial statements for 2010 - 2017 period. The results of the statistical study indicated that the NPF, OCR (BOPO), and FDR variables simultaneously influenced the profitability (ROA) with contribution value of 93.5%. Partially, the three variables had a negative and significant effect on profitability (ROA). NPF, OCR, and FDR simultaneously had a positive and significant effect on profit sharing with a contribution value of 94.53%. Partially, NPF had a negative and significant effect on profit sharing, while OCR and FDR had a positive and significant effect on profit sharing. Profitability (ROA) had a positive and significant effect on customer profit sharing. The NPF and FDR for profit sharing did not mediate their effects on profit sharing. At the same time, OCR for profit sharing through ROA, was able to mediate the OCR of the effect on profit sharing

    Impact of RFID information-sharing coordination over a supply chain with reverse logistics

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    Companies have adopted environmental practices such as reverse logistics over the past few decades. However, studies show that aligning partners inside the green supply chain can be a substantial problem. This lack of coordination can increase overall supply chain cost. Information technology such as Radio Frequency Identification (RFID) has the potential to enable decentralized supply chain coordinate their information. Even though there are research that address RFID on traditional supply chain, few researches address how to coordinate RFID information sharing in a green supply chain. We study, through simulation experiments, two types of RFID information-sharing coordination under different configurations related with their inventory policies: basic and advanced. Statistical analyses show that better results can be presented in advanced RFID configuration given new coordination and inventory policy decisions presented. In addition, these findings shows what are the RFID information-sharing coordination that can provide better system improvement depending on the supply chain scenarios and factors

    Credit-based distributed real-time energy storage sharing management

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    Abstract: In this paper, energy storage sharing among a group of cooperative households with integrated renewable generations in a grid-connected microgrid is studied. In such a microgrid, a group of households, who are willing to cooperatively operate a shared energy storage via a central coordinator, aims to minimize their long term time-averaged costs, by jointly taking into account the operational constraints of the shared energy storage, the stochastic solar power generations and the time-varying load demands from all households, as well as the fluctuating electricity prices. This energy management problem, which comprises storage management and load control, is first formulated as a constrained stochastic programming problem. Based on the Lyapunov optimization theory, a distributed real-time sharing control algorithm is proposed to solve the constrained stochastic programming problem without requiring any statistical knowledge of the stochastic renewable energy generations and the uncertain power loads. The credit-based distributed sharing algorithm, in which each household independently solves a simple convex optimization problem without requiring any statistics of the system, is designed to quickly adapt to the system dynamics while facilitating a fair allocation of the shared energy storage with respect to individual households’ energy contributions. The performance gap of the proposed low-complexity distributed sharing algorithm is evaluated via theoretical analysis. Numerical simulations using a practical system setup are conducted to investigate the effectiveness of the proposed sharing control algorithm in terms of energy cost saving and fairness. The simulation results show that the proposed credit-based distributed sharing algorithm can not only save power consumption cost by coordinating the use the shared battery among households in a fair manner but also improve the utilization of renewable energy generation
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