Marginal pollution analysis for long range forecasts by Walter Isard

Cover of: Marginal pollution analysis for long range forecasts | Walter Isard

Published by Center for Urban Development Research, Cornell University in Ithaca .

Written in English

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  • Pollution -- Mathematical models.

Edition Notes

Book details

Statementby Walter Isard, Frank J. Cesario, Thomas A. Reiner ; with major assistance from Adam Z. Rose.
SeriesRegional science dissertation & monograph series ;, no. 4
ContributionsCesario, Frank J., joint author., Reiner, Thomas A. 1931-
LC ClassificationsTD177 .I77
The Physical Object
Paginationxx, 529 p. :
Number of Pages529
ID Numbers
Open LibraryOL4297568M
LC Control Number78325904

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Marginal Pollution Analysis for Long-Range Forecasts, Regional Science Monograph No. 4, Center for Urban Development Research, Cornell University, (associate author with W. Isard and others). Books and Journal Issues Edited. pheric modelling framework for long-range transport of air poll utants as a basis for the integrated modelling of the marginal damage costs per unit of air pollution emissions.

@article{osti_, title = {Alternative methods of marginal abatement cost estimation: Non- parametric distance functions}, author = {Boyd, G and Molburg, J and Prince, R}, abstractNote = {This project implements a economic methodology to measure the marginal abatement costs of pollution by measuring the lost revenue implied by an incremental reduction in pollution.

Chateau, B. Lapillonne, in Energy Modelling Studies and Conservation, Publisher Summary. This chapter discusses the MEDEE approach for the analysis and long-term forecasting of final energy demand of a country. In the MEDEE approach, a scenario is viewed as a consistent description of a possible long term development pattern of a country.

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To evaluate the effect of the expanding size of DECA, we selected study areas of the regional inventory based on several possible scenarios. Fig. 1 shows the study area and different scenarios for current and future DECAs.

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Qualitative forecasts give the direction of change. Quantitative forecasts give the exact amount or exact percentage change. Diffusion forecasts use the proportion of the forecasts that are positive to forecast up or down.

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If the long-run average total cost curve for a firm is horizontal in the relevant range of production, then it indicates that there: Are constant returns to scale When diminishing marginal returns starts occurring, the addition of successive units of a variable resource to a fixed resource will cause the firm's production to diminish.

Analysis of the Indian data for the period through shows that if the effective progressivity is to be improved then the tax reforms should be aimed at raising statutory tax progressivity through larger reductions in the marginal tax rates at lower income levels besides better enforcement of the tax laws.

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gas production under a range of possible future price scenarios, it is clearly important to develop a water disposal options. For example, Bakken wells are the most costly because of long well lengths and use of higher-cost manufactured and resin coated proppants.

In contrast, Marcellus wells are the least Trends in U.S. Oil and Natural.If different methods lead to dissimilar forecasts, it gives an idea of the range of the uncertainty.

Sensitivity analysis is another method which, however, works only with numerical models. Most forecasting methods allow you to calculate what the result will be if one of your starting assumptions or one variable in the input data is varied.When the long-run equilibrium is reached at point C, the price of bread is equal to both the marginal and the average cost (P = MC = AC), and every bakery’s economic profit is zero.

In the long run, profits to be made in the bread market are no higher than the profits that potential bakery owners could make by using their assets elsewhere.

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