36,469 research outputs found

    Summary of Research on Order Financing Decision Optimization and Risk Management

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    To alleviate the pressure of financing for small and medium-sized enterprises in my country, order financing has become one of the effective ways to solve the financing difficulties of China's small and medium-sized enterprises. Order financing is a kind of supply chain financing mode. Compared with traditional accounts payable financing, order financing advances the financing link, accelerates the capital turnover efficiency, and better solves the urgent demand for funds of small and medium-sized enterprises. This paper reviews the research status of order financing from three aspects: order financing model evolution, decision optimization, and risk management. Through combing the existing literature, it puts forward appropriate policy recommendations for the order financing model under the current development status, which will provide direction for the development of order financing in the future

    A Farm-level Approach to the Methyl Bromide Phase-out: Identifying Alternatives and Maximizing Net Worth Using Stochastic Dominance and Optimization Procedures.

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    Alternative fumigant and herbicide systems for Georgia's pepper farms are analyzed relative to soon-to-be phased-out methyl bromide system. Stochastic dominance analyses identify two alternatives exceeding MeBr's yield and financial efficiency. A programming model using simulation-optimization techniques provides important implications on the pepper farms' economic viability under these alternative systems.Crop Production/Industries,

    Feasible Fumigant-Herbicide System Alternatives to Methyl Bromide for Bell Pepper Producers

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    With the current methyl bromide (MeBr) system for producing Georgia’s peppers being phased out, alternative fumigant and herbicide systems for producers are analyzed. Using stochastic dominance analyses, two alternatives exceeding MeBr’s yield and financial efficiency were identified. A programming model, incorporating simulation-optimization techniques, generated optimal production and financial plans. Results indicate potential economic viability under alternative systems vis-à-vis the traditional MeBr production system. The Telone II and Chloropicrin combination with Metham potassium may offer a viable substitute for MeBr.fumigant, herbicide, methyl bromide, multi-period programming, optimization, simulation, stochastic dominance, Agribusiness, Crop Production/Industries,

    The impact of policy elements on the financing costs of RE investment: The case of wind power in Germany

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    Renewable energy support mechanisms affect the attractiveness of projects by influencing uncertainties in revenues or expenditures and ultimately result in a change in the financing costs. The influence of feed-in tariffs on financing costs was investigated. 26 wind onshore investors were surveyed in a conjoint analysis and the results were used in a cash flow model to quantify the impact. The introduction of premium models under a fixed remuneration tariff scheme seems to increase the financing costs considerably. --

    Final report: Workshop on: Integrating electric mobility systems with the grid infrastructure

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    EXECUTIVE SUMMARY: This document is a report on the workshop entitled “Integrating Electric Mobility Systems with the Grid Infrastructure” which was held at Boston University on November 6-7 with the sponsorship of the Sloan Foundation. Its objective was to bring together researchers and technical leaders from academia, industry, and government in order to set a short and longterm research agenda regarding the future of mobility and the ability of electric utilities to meet the needs of a highway transportation system powered primarily by electricity. The report is a summary of their insights based on workshop presentations and discussions. The list of participants and detailed Workshop program are provided in Appendices 1 and 2. Public and private decisions made in the coming decade will direct profound changes in the way people and goods are moved and the ability of clean energy sources – primarily delivered in the form of electricity – to power these new systems. Decisions need to be made quickly because of rapid advances in technology, and the growing recognition that meeting climate goals requires rapid and dramatic action. The blunt fact is, however, that the pace of innovation, and the range of business models that can be built around these innovations, has grown at a rate that has outstripped our ability to clearly understand the choices that must be made or estimate the consequences of these choices. The group of people assembled for this Workshop are uniquely qualified to understand the options that are opening both in the future of mobility and the ability of electric utilities to meet the needs of a highway transportation system powered primarily by electricity. They were asked both to explain what is known about the choices we face and to define the research issues most urgently needed to help public and private decision-makers choose wisely. This report is a summary of their insights based on workshop presentations and discussions. New communication and data analysis tools have profoundly changed the definition of what is technologically possible. Cell phones have put powerful computers, communication devices, and position locators into the pockets and purses of most Americans making it possible for Uber, Lyft and other Transportation Network Companies to deliver on-demand mobility services. But these technologies, as well as technologies for pricing access to congested roads, also open many other possibilities for shared mobility services – both public and private – that could cut costs and travel time by reducing congestion. Options would be greatly expanded if fully autonomous vehicles become available. These new business models would also affect options for charging electric vehicles. It is unclear, however, how to optimize charging (minimizing congestion on the electric grid) without increasing congestion on the roads or creating significant problems for the power system that supports such charging capacity. With so much in flux, many uncertainties cloud our vision of the future. The way new mobility services will reshape the number, length of trips, and the choice of electric vehicle charging systems and constraints on charging, and many other important behavioral issues are critical to this future but remain largely unknown. The challenge at hand is to define plausible future structures of electric grids and mobility systems, and anticipate the direct and indirect impacts of the changes involved. These insights can provide tools essential for effective private ... [TRUNCATED]Workshop funded by the Alfred P. Sloan Foundatio

    Barriers to industrial energy efficiency: a literature review

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    Optimal Capital Structure: Reflections on Economic and Other Values

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    Despite a vast literature on the capital structure of the firm there still is a big gap between theory and practice. Starting with the seminal work by Modigliani & Miller, much attention has been paid to the optimality of capital structure from the shareholders’ point of view. Over the last few decades studies have been produced on the effect of other stakeholders’ interests on capital structure. Well-known examples are the interests of customers who receive product or service guarantees from the company. Another area that has received considerable attention is the relation between managerial incentives and capital structure. Furthermore, the issue of corporate control and, related, the issue of corporate governance, receive a lion’s part of the more recent academic attention for capital structure decisions. From all these studies, one thing is clear: The capital structure decision (or rather, the management of the capital structure over time) has to deal with more issues than the maximization of the firm’s market value alone. In this paper, we give an overview of the different objectives and considerations that have been proposed in the literature. We show that capital structure decisions can be framed as multiple criteria decision problems which can then benefit from multiple criteria decision support tools that are widely available.Capital structure;MCDA;Multi criteria decision analysis
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