38 research outputs found

    Methods for assessing the likelihood of country grain elevator failure in the United States

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    The ability to accurately assess the financial soundness of grain elevators has become an increasingly important task for regulatory authorities. Recent changes in both the general economy and the agricultural economy during the early and mid-1980s have created financial stress in parts of the grain sector. These changes and the resulting increases in the number of grain elevator insolvencies have caused regulators to seek improved means to judge the financial health of grain elevators. The purpose of this study was to develop an accurate and reliable early warning model to assist regulatory authorities in identifying financially troubled country grain elevators in the United States;Three early warning models were estimated and tested in this study. Two models were based on discriminant functions; one linear and the other quadratic. The third model was based on a logistic cumulative distribution function. The purpose of the models was to forewarn regulatory authorities of impending grain elevator insolvency one year in advance;Five variables were hypothesized to be important indicators of the financial health of grain elevators and were included in each of the early warning models developed in this study. The variables were constructed from basic information contained in the elevators\u27 financial statements. Each of the variables included in the models measured a different dimension of firm performance; liquidity, financial structure, cash flow, productivity, and profitability;The findings of this study indicated that: (1) each of the early warning models did a very credible job of distinguishing solvent grain elevators from insolvent grain elevators,(2) the independent variables used were capable of providing information that could discern healthy grain elevators from those likely to fail, (3) the classification performance of the early warning models varied considerably over the range of cutoff scores used for classification, and (4) the early warning model based on the logistic cumulative distribution function generally outperformed the other two models for purposes of detecting grain elevator insolvencies

    Strengthening Entrepreneurship and Building Leadership Capacity in Rural Communities

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    This article describes a potential model for other Extension programs across the United States that are looking for effective strategies to support and enhance community-based entrepreneurship. The University of Maine Cooperative Extension, in collaboration with other business-assist organizations, business owners, and municipal officials, organized the annual Washington County Business Conference and Marketplace. The overall goal of the conference was to improve the chances of success for existing and aspiring small business owners. A post-conference survey revealed that conference participants improved their business management skills; started, expanded, or improved a business; increased sales and profits; and made better business decisions

    The Impact of Cruise Ship Passengers in Maine: The Example of Bar Harbor

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    Maine’s expanding cruise ship industry can provide local economic benefits and add to the state’s already large tourism economy. The authors describe results of a survey they conducted among passengers from eight ship visits to Bar Harbor, a town that has emerged as a popular port of call on New England summer and autumn cruises. They found that cruise ship passengers have higher household incomes and spend substantially more per day than typical Maine tourists. They make several suggestions for how ports can maximize the benefits from cruise ship passengers. These include using cruise ship visits to extend the local tourism season; converting “non-spending” passengers to “spenders;” implementing strategies to encourage and track return visits by passengers; and developing management plans to direct the flow of passengers through town

    Economic Impact of Cruise Ships Passengers in Portland, Maine

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    This report examines the demographic characteristics and economic impact of cruise ship passengers in Portland, Maine, and its surrounding region. In 2008, the city hosted an estimated 47,841 passengers from 32 ships. Information collected from surveys distributed during the fall of 2008 suggests that cruise ship passengers spend an average of 80.51ongoodsandservicesinthePortlandregion.Thisamountincreasesto80.51 on goods and services in the Portland region. This amount increases to 109.68 with the inclusion of passenger expenditures on cruise-line sponsored tours. The total economic impact of cruise ship passenger spending, including multiplier effects, is between 5.8millionand5.8 million and 8.0 million in sales revenue throughout the Portland region. Economic activity associated with this spending supported between 69 and 96 full- and part-time jobs, and provided between 2.0millionand2.0 million and 3.2 million in wages and salaries

    Economic Contribution of Maine’s Food Industry

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    Using existing state and federal data and Maine IMPLAN, a state-of-the-art economic modeling system, the authors present an overview of the economic contributions of Maine’s food industry. This includes food makers (farms, fisheries, food-processing companies) and food sellers (grocery stores, direct sales, restaurants). Each play a unique, but interconnected, role in the Maine economy and add up to significant economic impact

    Economic Impact of Cruise Ships Passengers in Portland, Maine

    Get PDF
    This report examines the demographic characteristics and economic impact of cruise ship passengers in Portland, Maine, and its surrounding region. In 2008, the city hosted an estimated 47,841 passengers from 32 ships. Information collected from surveys distributed during the fall of 2008 suggests that cruise ship passengers spend an average of 80.51ongoodsandservicesinthePortlandregion.Thisamountincreasesto80.51 on goods and services in the Portland region. This amount increases to 109.68 with the inclusion of passenger expenditures on cruise-line sponsored tours. The total economic impact of cruise ship passenger spending, including multiplier effects, is between 5.8millionand5.8 million and 8.0 million in sales revenue throughout the Portland region. Economic activity associated with this spending supported between 69 and 96 full- and part-time jobs, and provided between 2.0millionand2.0 million and 3.2 million in wages and salaries

    The Impact of Cruise Ship Passengers in Maine: The Example of Bar Harbor

    Get PDF
    Maine’s expanding cruise ship industry can provide local economic benefits and add to the state’s already large tourism economy. The authors describe results of a survey they conducted among passengers from eight ship visits to Bar Harbor, a town that has emerged as a popular port-of-call on New England summer and autumn cruises. They found that cruise ship passengers have higher household incomes and spend substantially more per day than the typical Maine tourist. They make several suggestions for how ports can maximize the benefits from cruise ship passengers. These include using cruise ship visits to extend the local tourism season; converting “non-spending” passengers to “spenders”; implementing strategies to encourage and track return visits by passengers; and developing management plans to direct the flow of passengers through town

    Economic Contribution of Maine's Food Industry

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    Using existing state and federal data and Maine IMPLAN, a state-of-the-art economic modeling system, Todd Gabe, James C. McConnon Jr. and Richard Kersbergen crunch the numbers to present an overview of the economic contribution of Maine’s food industry. This includes food makers (farms, fisheries, food-processing companies) and food sellers (grocery stores, direct sales, restaurants). Each play a unique, but interconnected, role in the Maine economy and add up to significant economic impact

    Economic Contribution of Maine's Food Industry

    Get PDF
    Using existing state and federal data and Maine IMPLAN, a state-of-the-art economic modeling system, Todd Gabe, James C. McConnon Jr. and Richard Kersbergen crunch the numbers to present an overview of the economic contribution of Maine’s food industry. This includes food makers (farms, fisheries, food-processing companies) and food sellers (grocery stores, direct sales, restaurants). Each play a unique, but interconnected, role in the Maine economy and add up to significant economic impact
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