THE RETURNS TO AGRICULTURAL RESEARCH IN MAINE: THE CASE OF A SMALL NORTHEASTERN EXPERIMENT STATION

Estimates of the marginal internal rate of return to expenditures for research by the Maine Agricultural Experiment Station are presented. Estimates are performed using ridge regression under an array of specifications, including alternative functional forms, lag structures, costs of public funds, and variable specifications. The results are consistent with many previous results that imply an underinvestment in agricultural research.Research and Development/Tech Change/Emerging Technologies,

Improving Country Conflict and Peace Modeling: Datasets, Imputations, and Hierarchical Clustering

Many disparate datasets exist that provide country attributes covering political, economic, and social aspects. Unfortunately, this data often does not include all countries nor is the data complete for those countries included, as measured by the dataset’s missingness. This research addresses these dataset shortfalls in predicting country instability by considering country attributes in all aspects as well as in greater thresholds of missingness. First, a structured summary of past research is presented framed by a developed casual taxonomy and functional ontology. Additionally, a novel imputation technique for very large datasets is presented to account for moderate missingness in the expanded dataset. This method is further extended to establish the MASS-impute algorithm, a multicollinearity applied stepwise stochastic imputation method that overcomes numerical problems present in preferred commercial packages. Finally, the imputed datasets with 932 variables are used to develop a hierarchical clustering approach that accounts for geographic and cultural influences that are desired in the practical use of modeling country conflict. These additional insights and tools provide a basis for improving future country conflict and peace research

TOWARD A MARKETING STRATEGY FOR FRESH WILD BLUEBERRIES IN THE NORTHEAST

Marketing,

TB135: The Estimation of the Returns to Agricultural Research and Extension in Maine: 1951-1985

The purpose of this report is to determine a statistical estimate of the returns to agricultural research at the Maine Agricultural Experiment Station during the period 1950 through 1986. The approach taken here follows most of the recent literature regarding the estimation of returns to agricultural research, by estimating an econometric production function and deriving an internal rate of return on both research and extension expenditures within the state of Maine. This estimate is derived using ridge regression techniques. The approach taken here differs somewhat from much of the returns to research literature in that it focuses on a single state, while most other work in this area considers the country as a whole. In addition the estimates here take explicit account of benefits accruing from outside of the state.https://digitalcommons.library.umaine.edu/aes_techbulletin/1071/thumbnail.jp

Multicollinearity Applied Stepwise Stochastic Imputation: A Large Dataset Imputation through Correlation‑based Regression

This paper presents a stochastic imputation approach for large datasets using a correlation selection methodology when preferred commercial packages struggle to iterate due to numerical problems. A variable range-based guard rail modification is proposed that benefits the convergence rate of data elements while simultaneously providing increased confidence in the plausibility of the imputations. A large country conflict dataset motivates the search to impute missing values well over a common threshold of 20% missingness. The Multicollinearity Applied Stepwise Stochastic imputation methodology (MASS-impute) capitalizes on correlation between variables within the dataset and uses model residuals to estimate unknown values. Examination of the methodology provides insight toward choosing linear or nonlinear modeling terms. Tailorable tolerances exploit residual information to fit each data element. The methodology evaluation includes observing computation time, model fit, and the comparison of known values to replaced values created through imputation. Overall, the methodology provides useable and defendable results in imputing missing elements of a country conflict dataset

B827: Toward a Cooperative Marketing Strategy for Fresh Wild Blueberries

Marketing wild blueberries as a fresh product has become an increasingly viable alternative for Maine wild blueberry producers. This bulletin presents the results of research that identified marketing regions with the greatest profit potential for fresh wild blueberries and whether there are packaging or promotional strategies that are likely to be more successful than others within these regions. The authors analyze retail demand for fresh wild blueberries in Maine, Boston, and New York City, as well as describe the results of a survey of wholesale buyers of fresh blueberries in Boston. The conclusions based on the analysis of demand at these two levels of the marketing chain provide some interesting evidence with which to begin to develop a fresh wild blueberry marketing strategy.https://digitalcommons.library.umaine.edu/aes_bulletin/1042/thumbnail.jp

Help or hindrance? The travel, energy and carbon impact of highly automated vehicles

Experts predict that new automobiles will be capable of driving themselves under limited conditions within 5-10 years, and under most conditions within 10-20 years. Automation may affect road vehicle energy consumption and greenhouse gas (GHG) emissions in a host of ways, positive and negative, by causing changes in travel demand, vehicle design, vehicle operating profiles, and choices of fuels. In this paper, we identify specific mechanisms through which automation may affect travel and energy demand and resulting GHG emissions and bring them together using a coherent energy decomposition framework. We review the literature for estimates of the energy impacts of each mechanism and, where the literature is lacking, develop our own estimates using engineering and economic analysis. We consider how widely applicable each mechanism is, and quantify the potential impact of each mechanism on a common basis: the percentage change it is expected to cause in total GHG emissions from light-duty or heavy-duty vehicles in the U.S. Our primary focus is travel related energy consumption and emissions, since potential lifecycle impacts are generally smaller in magnitude. We explore the net effects of automation on emissions through several illustrative scenarios, finding that automation might plausibly reduce road transport GHG emissions and energy use by nearly half – or nearly double them – depending on which effects come to dominate. We also find that many potential energy-reduction benefits may be realized through partial automation, while the major energy/emission downside risks appear more likely at full automation. We close by presenting some implications for policymakers and identifying priority areas for further research

B816: An Economic Analysis of a Maine Dairy Farm Anaerobic Digester

Anaerobic digestion is a method for decomposing organic matter, producing in the process, biogas, which is mostly methane. This process can be used to eliminate or reduce disagreeable and often environmentally harmful characteristics of wastes. During the autumn of 1984, the University of Maine began operation of an anaerobic digestion unit acquired from Agway, Inc., a large Northeastern agricultural cooperative. This system, installed at the Witter Animal Science Center, decomposes animal manures and ultimately produces electricity and hot water. A by-product of the system is a fertilizer with characteristics superior to fertilizers produced from biological wastes that have not undergone a process of anaerobic digestion. The research objectives were to (1) construct an economic-engineering model representing the waste to energy system, (2) quantify the benefits and costs of the system, (3) estimate the cash flows accruing over the lifespan of the system, (4) evaluate the model to determine the net present value of the system, and (5) evaluate alternative scenarios to determine the effect on economic feasibility.https://digitalcommons.library.umaine.edu/aes_bulletin/1051/thumbnail.jp

Explorations, Vol. 4, No. 1

Articles include: Cover: Old Yarmouth Light, 1960, Cape Forchu, Nova Scotia. By and from the collection of Edgar McKay. The Borderlands Concept: a new look at U.S.-Canada relations, by Victor Konrad and Lauren McKensey Fundy Tidal Power Project, by Gregory White Canadian Poet: Ken Norris Native American Life and Art: a celebration, November, 1986, by Lee-Ann Konrad The Montreal Canadiens: a cultural institution, by James J. Herlan U.S. and Canadian Executives: uses of formal and informal plans in top executive decision-making, by Kent Carter Our Cover Artist: bits and pieces of one man\u27s Nova Scotia, by Edgar McKay The Canadian-American Center and the Canadian Collection of the Fogler Library, by Alice Stewart Capitalist Development in the New England-Atlantic Provinces Region, by Robert H. Babcock Atlantic Canadian Members of Parliament as Representatives, by Howard Cody The Rower and the Pyramid: a tribute to Joe Walsh, by Edward D. Ives The Canadian-American Center: exercise in excellence, by Rand Erb Canadian and Maine Potatoes: a bushel of questions, by George K. Griner, Alan S. Kezis, and James D. Leiby After 20: the Future of the Canadian-American Center, by Victor Konra