Determining the Cost Benefit, the Return on Investment, and the Intangible Impacts of Language Programs for Development

2002 ◽  
Vol 36 (3) ◽  
pp. 399 ◽  
Author(s):  
William M. Martin ◽  
Anne E. Lomperis
2015 ◽  
Vol 9 (4) ◽  
pp. 344-348 ◽  
Author(s):  
Benoit Stryckman ◽  
Thomas L. Grace ◽  
Peter Schwarz ◽  
David Marcozzi

AbstractObjectiveTo demonstrate the application of economics to health care preparedness by estimating the financial return on investment in a substate regional emergency response team and to develop a financial model aimed at sustaining community-level disaster readiness.MethodsEconomic evaluation methods were applied to the experience of a regional Pennsylvania response capability. A cost-benefit analysis was performed by using information on funding of the response team and 17 real-world events the team responded to between 2008 and 2013. By use of the results of the cost-benefit analysis as well as information on the response team’s catchment area, a risk-based insurance-like membership model was built.ResultsThe cost-benefit analysis showed a positive return after 6 years of investment in the regional emergency response team. Financial modeling allowed for the calculation of premiums for 2 types of providers within the emergency response team’s catchment area: hospitals and long-term care facilities.ConclusionThe analysis indicated that preparedness activities have a positive return on their investment in this substate region. By applying economic principles, communities can estimate their return on investment to make better business decisions in an effort to increase the sustainability of emergency preparedness programs at the regional level. (Disaster Med Public Health Preparedness. 2015;9:344–348)


Author(s):  
Gali Musa ◽  
Uyioghosa Igie ◽  
Pericles Pilidis ◽  
Sule Gowon

On-line compressor washing has shown to relatively improve engine performance by decelerating the rate of engine degradation due to fouling during operation. There is a number of influencing parameters that determine the economic benefit, some of which includes the frequency of washing, the effectiveness of washing liquid and the size of the engine or power output produced. This study, unlike others, explores the cost-benefit analysis, focusing on the viability of compressor washing for various gas turbine engines or rated capacities, ranging from a 5MW single machine to a 300MW unit. Fouling degradation trend obtained from actual machine operation have been implemented and the application of different washing frequencies and recoveries of lost power shows the significantly higher return on investment for the larger engines in comparison to the smaller engines. This is partly due to the fact that the washing equipment cost, though increases with engine size, does not increase proportionally. Another contributing factor is the cost penalty per MW when the same level of degradation is implemented for all the engines. Some of the key aspects captured in this study are the capital and maintenance cost used, that relates to the different engine sizes, therefore ensuring a more indicative basis for comparing the viability of the different engines. This also includes the estimation of washing liquid utilised based on their respective typical mass flows. When the number of engines increases to 4 for a given operations, the return on investment increases by a factor of 3.5. This is possible as one wash unit can be applied to more than one engine within proximity. Higher return on investment is achieved when more than one relatively small engine is used to obtain a higher total power output. This is about 1.7 times higher for four 63MW engines versus one 255MW, as relatively cheaper washing equipment is implemented for the same total operational capacity. The study also shows that on-line washing is not always viable for electric power generation. This is observed for smaller light-duty engines, especially in situations when the level of fouling is relatively low.


2004 ◽  
Vol 25 (6/7) ◽  
pp. 318-320 ◽  
Author(s):  
Ian W. Smith

Outlines several frameworks for the evaluation of human resource development programs: the return on investment model, the cost/benefit ratio approach, and bottom‐line evaluation.


2018 ◽  
Vol 25 (13-14) ◽  
pp. 2487-2498 ◽  
Author(s):  
Scott Steen

The economic argument underpinning the Improving Access to Psychological Therapy programme has been a central component in its initial and continued investment. Using open-access data, this article undertook a cost-benefit analysis using the programme’s key defining outcomes to determine its return-on-investment. It was found that in terms of investment and efficiency gains, the programme was in the higher ends of the cost spectrum for delivering psychological therapies. Although cost-estimates appear promising at first, when set in the context of a lower number of treatment contacts and a high proportion of early disengagement, estimates increased sharply.


2007 ◽  
pp. 70-84 ◽  
Author(s):  
E. Demidova

This article analyzes definitions and the role of hostile takeovers at the Russian and European markets for corporate control. It develops the methodology of assessing the efficiency of anti-takeover defenses adapted to the conditions of the Russian market. The paper uses the cost-benefit analysis, where the costs and benefits of the pre-bid and post-bid defenses are compared.


2019 ◽  
Author(s):  
Milind Watve

Peer reviewed scientific publishing is critical for communicating important findings, interpretations and theories in any branch of science. While the value of peer review is rarely doubted, much concern is being raised about the possible biases in the process. I argue here that most of the biases originate in the evolved innate tendency of every player to optimize one’s own cost benefits. Different players in the scientific publishing game have different cost-benefit optima. There are multiple conflicts between individual optima and collective goals. An analysis of the cost-benefit optima of every player in the scientific publishing game shows how and why biases originate. In the current system of publishing, by optimization considerations, the probability of publishing a ‘bad’ manuscript is relatively small but the probability of rejecting a ‘good’ manuscript is very high. By continuing with the current publishing structure, the global distribution of the scientific community would be increasingly clustered. Publication biases by gender, ethnicity, reputation, conformation and conformity will be increasingly common and revolutionary concepts increasingly difficult to publish. Ultimately, I explore the possibility of designing a peer review publishing system in which the conflicts between individual optimization and collective goal can be minimized. In such a system, if everyone behaves with maximum selfishness, biases would be minimized and the progress towards the collective goal would be faster and smoother. Changing towards such a system might prove difficult unless a critical mass of authors take an active role to revolutionize scientific publishing.


2015 ◽  
Vol 6 (1) ◽  
pp. 50-57
Author(s):  
Rizqa Raaiqa Bintana ◽  
Putri Aisyiyah Rakhma Devi ◽  
Umi Laili Yuhana

The quality of the software can be measured by its return on investment. Factors which may affect the return on investment (ROI) is the tangible factors (such as the cost) dan intangible factors (such as the impact of software to the users or stakeholder). The factor of the software itself are assessed through reviewing, testing, process audit, and performance of software. This paper discusses the consideration of return on investment (ROI) assessment criteria derived from the software and its users. These criteria indicate that the approach may support a rational consideration of all relevant criteria when evaluating software, and shows examples of actual return on investment models. Conducted an analysis of the assessment criteria that affect the return on investment if these criteria have a disproportionate effort that resulted in a return on investment of a software decreased. Index Terms - Assessment criteria, Quality assurance, Return on Investment, Software product


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