Browsing by Author "O'Hare, Michael"
Now showing 1 - 3 of 3
- Results Per Page
- Sort Options
Item Fair Compensation and the Boomtown Problem - DRAFT(Massachusetts Institute of Technology Laboratory of Architecture and Planning, 1976-11) O'Hare, MichaelWhile a variety of government responses to the "boomtown problem" (too-rapid growth due to energy facilities in rural communities) may be appropriate, those that pay subsidies to the residents or to local governments are likely to compensate the wrong parties. In particular, new arrivals should not be compensated for suffering boomtown conditions and conventional relief programs will probably benefit them at the expense of those who have a good claim to payments.Item "Not On My Block You Don't" - Facilities Siting and the Strategic Importance of Compensation(Massachusetts Institute of Technology Laboratory of Architecture and Planning, 1977-03) O'Hare, MichaelAn important failing of current practice in siting locally noxious facilities is the strategic problem which results from failure to pay compensation to neighbors who suffer costs (loss in property values or less measurable amenity costs) not covered by the law. Unless such compensation is paid, socially beneficial projects will be blocked or stalled on each possible site, thus failing entirely. If local costs are compensated, choosing the right amount to pay is more important that accurately estimating (uncompensated) social costs for purposes of cost-benefit analysis. Auctioning facilities (for presumable negative "prices" - compensation) among communities effects correct compensation and overcomes important strategic, efficiency, and equity problems in the siting process; some feasible ways to conduct such auctions are outlined and reviewed.Item Predicting the Local Impacts of Energy Development: A Critical Guide to Forecasting Methods and Models(Massachusetts Institute of Technology, Laboratory of Architecture and Planning, 1976-11) O'Hare, Michael; Sanderson Stinson, DebraModels forecasting second-order impacts from energy development vary in their methodology, assumptions, and quality. As a rough dichotomy, they either simulate community development over time or combine various submodels providing community "snapshots" at selected points in time. Using one or more methods -- input/output models, gravity models, econometric models, cohort-survival models, or coefficient models -- they estimate energy-development-stimulated employment, population, public and private service, and government revenues and expenditures at some future time (ranging from annual to "average year" predictions) and for different governmental jurisdictions (municipal, county, state, etc.). Underlying assumptions often conflict, reflecting their different sources -- historical data, comparative data, surveys, and judgments about future conditions. Model quality, measured by special features, tests, exportability and usefulness to policy-makers, reveals careful and thorough work in some cases and hurried operations with insufficient in-depth analysis in others.