Managerial economics focusing on cost and revenue analysis
Summary :
Table of Contents
- Introduction
- Cost and Revenue Analysis terms and definitions
- Understanding how cost and revenue analysis can help financial sustainability
- Considering the benefits of cost and revenue analysis
- Cost and revenue analysis can help you determine reducing costs
- Increasing revenues responding to changes in demand and costs
- Using cost and revenue analysis to make management decisions
- Exploring cross-subsidization strategies
- Recover costs using cross-subsidization strategies
- Using a cost and revenue analysis tool
- Developing fixed costs, variable costs, and revenues for a multi-service or multi-center program
- Improving sustainability through a cost and revenue analysis
- Planning for the future
- Integrating cost and revenue analysis into ongoing activities
- Checklist for using cost and revenue analysis tools
- Configuration variants
- The relationship between marginal cost and average cost
Abstract
Health service providers have to carefully manage the use of scarce resources while meeting a growing demand for services and rising expectations for quality. Conducting cost and revenue analysis can greatly increase a managers' understanding of the factors that affect resource use, including staffing patterns, service mix, service practices, and procurement. The information these analysis generate helps managers consider different ways of producing services in order to reduce costs, increase revenues, or both. Conducting a cost and revenue analysis is particularly useful to organizations that are trying to meet major management challenges, such as expanding existing services, integrating new services, or working toward financial sustainability. This issue of The Manager shows why a cost and revenue analysis is useful and suggests various options for increasing cost efficiency and revenue generation. The issue presents three electronic spreadsheet software tools for analyzing costs and revenues and discusses the types of decisions managers can make using these tools. The issue also presents the tools' features, data requirements, and the kinds of information they can generate.
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