scholarly journals Chemical or Natural? Including LCA in Social CBA to Compare Remediation Alternatives for a Dry-Cleaning Facility

2019 ◽  
Vol 11 (7) ◽  
pp. 1975 ◽  
Author(s):  
Lies Huysegoms ◽  
Sandra Rousseau ◽  
Valérie Cappuyns
Keyword(s):  
Negative Impact ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Biological Degradation ◽  
Dry Cleaning ◽  
The Social ◽  
Natural Remediation ◽  
Local Residents

The choice between remediation alternatives for contaminated sites is complicated by different elements, e.g., the occurrence of multiple contaminants, the extent of the contamination, or the urban location, complicate the choice between remediation alternatives. This paper addresses this challenging choice by analyzing a case study of an extensive soil and groundwater contamination by a dry-cleaning company. For remediating this site, two alternatives were proposed. The first remediation alternative combines several techniques with in-situ chemical oxidization being the most important one. Due to the potential negative impact of this alternative on local residents a second remediation alternative was drawn up, in which the focus lies on the use of stimulated biological degradation. A Life Cycle Assessment (LCA) was performed on both alternatives and showed that the second alternative had a lower environmental impact. The inclusion of monetized LCA results in the calculation of a social Cost-Benefit Analysis (CBA) provided a more extensive view of the secondary environmental costs and benefits of the remediation alternatives. The results of the social CBA allow to conclude that both alternatives are not socially desirable, the chemical alternative however is socially less disadvantageous than the more natural remediation alternative.

scholarly journals Climate-Smart Agriculture in the Northeast of Brazil: An Integrated Assessment of the Aquaponics Technology

2020 ◽  
Vol 12 (9) ◽  
pp. 3734 ◽  
Author(s):  
Maíra Finizola e Silva ◽  
Steven Van Passel
Keyword(s):  
Food Insecurity ◽  
Arid Regions ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
The Social ◽  
Smart Agriculture ◽  
The Cost ◽  
Positive Results ◽  
Semi Arid

The purpose of this study is to determine if aquaponic systems can reduce food insecurity in the semi-arid regions of Brazil and generate income for the beneficiaries. Aquaponics is a potentially sustainable way to produce food based on gardening, hydroponics and aquaculture. A case study, based on a project called Aquaponova, was developed. The aquaponic systems currently used in the project are non-commercial and designed for households with limited resources. The data based on six existing systems within this project were used to compare the costs and the benefits. The cost–benefit analysis covers four scenarios and three financing options. The results show that aquaponic systems have a large potential and can reduce food insecurity in semi-arid regions while generating income for the beneficiaries. Even if the system only produces 40% of the total estimated production, the system will still be feasible. However, the low opportunity cost of labour is an essential factor for obtaining these positive results. Moreover, the social benefits, such as a community spirit and the health benefits of the system, should not be underestimated.

Measuring Social Welfare

2019 ◽  
Author(s):  
Matthew D. Adler
Keyword(s):  
Social Welfare ◽  
Cost Benefit Analysis ◽  
Probability Distributions ◽  
Cost Benefit ◽  
Well Being ◽  
Risk Regulation ◽  
The Social ◽  
Policy Impacts ◽  
The Difference

The social welfare function (SWF) framework is a powerful tool for evaluating governmental policies in light of human well-being. The framework originates in theoretical welfare economics and is widely used in contemporary economic scholarship, although not (yet) in governmental practice. This book is intended to provide an accessible, yet reasonably rigorous overview of the SWF approach. The framework has three components: an interpersonally comparable measure of well-being, which functions to translate outcomes into lists (“vectors”) of well-being numbers, one for each person in the population; a rule (the SWF) for ranking well-being vectors, such as the utilitarian SWF (which simply adds up well-being numbers), a continuous-prioritarian SWF (which gives greater weight to the worse off), or some other; and a procedure for ranking policies, understood as probability distributions across outcomes. Each component of the SWF framework is reviewed in detail; in doing so, the book engages both the economic literature on SWFs and philosophical scholarship regarding individual well-being, ethics, and distributive justice. The book also clarifies the difference between the SWF approach and cost-benefit analysis (CBA), which uses money rather than an interpersonally well-being measure as the scale for quantifying policy impacts. The book includes a detailed case study of risk regulation—illustrating how the SWF framework can be used in practice and how it contrasts with CBA. The book is written to be accessible to readers without much mathematical training, but is backed up by an extensive mathematical appendix.

The Social Cost-Benefit Analysis as Estimation Methodology: Case Study for Infrastructure Projects

2014 ◽  
Vol 11 (2) ◽  
pp. 57-76
Author(s):  
Samanta Petohleb Černeha ◽  
Maja Klun ◽  
Srečko Devjak
Keyword(s):  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Benefit Analysis ◽  
The Public ◽  
Public Investments ◽  
The Social ◽  
Net Profit ◽  
Expected Benefits ◽  
Theoretical Issues

Local public investments are financed by budget funds (state, county, local), debt funds (loans or credits, municipal obligations) and non-debt funds (users’ charges and methods and techniques of public-private partnership). In this paper some theoretical issues about cost-benefit analysis (CBA) and advantages and limitations in applying it are discussed. CBA is used in the public sector in making decisions where it is relatively easy to determine the costs, but the expected benefits can be difficult to express in monetary value. To ensure an equitable quantity of financial sources according to negative difference between inflows and outflows is one of the most important goals of the project. Based on theoretical framework about CBA, a calculation was made on social profitability of the project Public sewerage and water protection in the Region of Istria. The main conclusion of this paper is that if the project achieves the social profitability, net profit and high economic internal rate of return, it is possible to accept the realization of the project.

scholarly journals The ALARP Principle in the Cost-Benefit Analysis for the Acceptability of Investment Risk

2018 ◽  
Vol 10 (12) ◽  
pp. 4668 ◽  
Author(s):  
Antonio Nesticò ◽  
Shuquan He ◽  
Gianluigi De Mare ◽  
Renato Benintendi ◽  
Gabriella Maselli
Keyword(s):  
Cost Benefit Analysis ◽  
Risk Mitigation ◽  
Cost Benefit ◽  
Economic Evaluations ◽  
Investment Risk ◽  
Benefit Analysis ◽  
Mitigation Design ◽  
The Cost

The process of allocating financial resources is extremely complex—both because the selection of investments depends on multiple, and interrelated, variables, and constraints that limit the eligibility domain of the solutions, and because the feasibility of projects is influenced by risk factors. In this sense, it is essential to develop economic evaluations on a probabilistic basis. Nevertheless, for the civil engineering sector, the literature emphasizes the centrality of risk management, in order to establish interventions for risk mitigation. On the other hand, few methodologies are available to systematically compare ante and post mitigation design risk, along with the verification of the economic convenience of these actions. The aim of the paper is to demonstrate how these limits can be at least partially overcome by integrating, in the traditional Cost-Benefit Analysis schemes, the As Low as Reasonably Practicable (ALARP) logic. According to it, the risk is tolerable only if it is impossible to reduce it further or if the costs to mitigate it are disproportionate to the benefits obtainable. The research outlines the phases of an innovative protocol for managing investment risks. On the basis of a case study dealing with a project for the recovery and transformation of an ancient medieval village into a widespread-hotel, the novelty of the model consists of the characterization of acceptability and tolerability thresholds of the investment risk, as well as its ability to guarantee the triangular balance between risks, costs and benefits deriving from mitigation options.

Medical readiness: evaluating the robustness of medical clinic staffing solutions

2016 ◽  
Vol 14 (4) ◽  
pp. 407-419
Author(s):  
Michael Q Corpuz ◽  
Christina F Rusnock ◽  
Vhance V Valencia ◽  
Kyle Oyama
Keyword(s):  
Negative Impact ◽  
Cost Benefit Analysis ◽  
Relative Effectiveness ◽  
Discrete Event ◽  
Cost Savings ◽  
Cost Benefit ◽  
Wait Time ◽  
Cost Effective ◽  
Wait Times ◽  
Staffing Mix

Medical readiness requires Department of Defense medical clinics to be robust to changes in patient demand. Minor fluctuations in patient demand occur on a regular basis, but major increases can also occur. Major demand increases can result from a number of occurrences, including mass military deployments, medical incidents, outbreaks, and overflow from Veterans’ Affairs clinics. This research evaluates a system of clinics at Wright-Patterson Air Force Base in order to determine its ability to handle a 200% surge in patient demand. In addition, this study evaluates the relative effectiveness of six different staffing mix options to minimize patient wait times, also under the surge demand conditions. This evaluation is conducted using discrete-event simulation to estimate patient wait times and includes a sensitivity analysis of the increased patient demand, as well as a cost–benefit analysis to determine the most cost-effective alternative scenario. The study finds that adjustments to staffing mix enable cost savings while meeting current demands. In addition, the study finds that adjusting the staffing mix will not have a negative impact on patient wait time in the surge conditions, relative to the current staffing mix.

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