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Expanding Formal Models of Budgeting to Include Environmental Effects

Bibliographic Data

ID6327039
AuthorsAndrew T Cowart (corresponding author)
Year1975
Volume4
Issue2
Pages53-66
Publication date1975-12-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenuePolicy & Politics (JOURNAL)
Journal identifiersISSN: 0305-5736 • E-ISSN: 1470-8442
PublisherBristol University Press (PUBLISHER • GB)
DOI10.1332/030557376783186678
OpenAlexW1993870594
LanguageEN
Citations received2

Earlier conceptualizations of environmental effects on public spending suffer from at least two weaknesses: (1) a failure to treat those factors to which decision-makers might respond under conditions of environmental stress; and (2) a failure to develop formally the notion that relevant environments will differ for different governmental units. In this paper, several formal models of budgetary decision-making are extended to include environmental variables. Three alternative decision-making models are set out which postulate that (1) environmental stress simply produces random fluctuations about predominantly incremental modes of decision-making; (2) the level of environmental stress systematically enters the budgetary decision calculus; or (3) the relative change from one year to the next in the environmental stress conditions of public agencies systematically affects budgeting decisions. A test application of these models is provided with reference to time series budgetary and environmental data for the municipal government of Oslo, Norway. Budgetary data were assembled for each of four levels of budget formulation and review; and different environmental stress variables were recorded for different public agencies. Results indicate that decision-making models which formalize the notion of relative change are most useful for studying environmental stress effects on budgetary decision-making of public agencies and their reviewing agents

Business · Economics · Environmental stress · Government (linguistics · Management science · Operations research · Public economics · Set (abstract data type · Test (biology · Computer Science · Environmental Science · Fiscal Policies and Political Economy · Fiscal Policy and Economic Growth · Housing Market and Economics · Mathematics · Ecology

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Unique citing works2
Citations per year0.04
Citation span1980 - 1981 (2)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2

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