scholarly journals Responsive Governance and Harmful Microbial Blooms on Lake Erie: An ABM Approach

2019 ◽  
Vol 5 (1) ◽  
pp. 24
Author(s):  
DG Webster ◽  
Tyler Pavlovich

In general, decision makers tend to respond to problems rather than prevent them. In political science, this process of responsive governance is associated with complex dynamics such as availability cascades and punctuated equilibrium. However, most authors treat problems as one-time events, like oil spills or political scandals. Here, we use an agent based model loosely based on the Lake Erie watershed to explore how responsive governance evolves along with an on-going but noisy environmental problem: harmful microbial blooms. This conceptual model features a two-level decision process based on Jones and Baumgartner (2005). Meta-agents representing the individual level of analysis “perceive” blooms either directly via observation if they are near a bloom or indirectly through the media. As a meta-agent observes more blooms, their concern increases until it crosses an action threshold, at which point they use simple cost-benefit analysis to select from a range of options. One of these options is to send a signal to their policy agent, which aggregates these political signals based on a range of assumptions and then decides on actions in much the same way as the metapopulations themselves. We examine two major scenarios, one in which there is a single policy maker managing the entire region (e.g. the national government) and one where there are 5 policy makers, each separately regulating a demographically and geographically distinct region. Although the model is relatively simple, it lets us explore how variability in risk perception and responsive governance shape the functioning of the entire coupled human and natural system, including biophysical feedbacks.


Entropy ◽  
2021 ◽  
Vol 23 (10) ◽  
pp. 1279
Author(s):  
Monika Gisler ◽  
Didier Sornette

We present an analysis of a large emerging scientific project in the light provided by the social bubbles hypothesis (SBH) that we have introduced in earlier papers. The SBH claims that, during an innovation boom or technological revolution, strong social interactions between enthusiastic supporters weave a network of reinforcing feedbacks that leads to widespread endorsement and extraordinary commitment, beyond what would be rationalized by a standard cost–benefit analysis. By probing the (Future and Emerging Technologies) FET Flagship candidate FuturICT project, as it developed in 2010–2013, we aimed at better understanding how a favorable climate was engineered, allowing the dynamics and risk-taking behaviors to evolve. We document that significant risk-taking was indeed clearly found—especially during workshops and meetings, for instance, in the form of the time allocation of participants, who seemed not to mind their precious time being given to the project and who exhibited many signs of enthusiasm. In this sense, the FuturICT project qualifies as a social bubble in the making when considered at the group level. In contrast, risk-perception at the individual level remained high and not everyone involved shared the exuberance cultivated by the promoters of FuturICT. As a consequence, those not unified under the umbrella of the core vision built niches for themselves that were stimulating enough to stay with the project, but not on a basis of blind over-optimism. Our detailed field study shows that, when considering individuals in isolation, the characteristics associated with a social bubble can vary significantly in the presence of other factors besides exaggerated risk-taking.



Author(s):  
Robert Hebner

The growing globalization of industry is stimulating a growing emphasis on international standards. Standards are important because they provide significant economic benefit. They are also costly and much of the benefit is broad-based, i.e. it does not accrue preferentially to those who incur the cost. Finally, there is a highly disaggregated international standards system and at least two very different basic philosophies as to how standard systems should operate. The effect of the individual cost-benefit analysis by organizations may produce a hybrid system that produces both global standards in which each country participates in the development as well as less costly technical and consortium standards.



1974 ◽  
Vol 4 (1) ◽  
pp. 69-91 ◽  
Author(s):  
Robert E. Marks

The paper examines the social and private aspects of heroin use in the U.S. today and attempts to estimate the associated costs, both society's and the individual user's. Possible goals of any government policy are discussed. Twelve possible policy alternatives are examined, eight dealing with the demand for heroin, and four dealing with its supply. These alternatives are compared using a rough cost-benefit analysis in terms of costs and benefits to society at large. A more detailed comparison is made of therapeutic communities, methadone maintenance, and the British experience of prescription heroin maintenance as alternatives. The conclusion is reached that to minimize social cost while containing the spread of heroin usage a scheme of prescription heroin should be implemented; but if the spread of usage is seen as benign, the best policy is to sell the drug freely to any adult as alcohol is today.



PEDIATRICS ◽  
1992 ◽  
Vol 90 (5) ◽  
pp. 780-780
Author(s):  
ALAN COHEN ◽  
CAROL BURK

In Reply.— Doctors Lackmann and Töllner provide additional data supporting our finding that the discovery of clinically important coagulation disorders during routine preoperative laboratory screening is infrequent. However, these investigators are troubled, as are we, by the problem of determining the appropriate use of screening tests when the disorder is rare and the tests are imperfect, but the consequence of failing to recognize the disorder may be grave. Even the most elaborate cost-benefit analysis may be of little comfort in approaching the individual patient and concerned parents.



2021 ◽  
Author(s):  
Svitlana Liubartseva ◽  
Ivan Federico ◽  
Giovanni Coppini ◽  
Rita Lecci

<p>Being situated in a semi-enclosed Mediterranean lagoon, the Port of Taranto represents a transport, industrial and commercial hub, where the port infrastructure, a notorious steel plant, oil refinery and naval shipyards coexist with highly-dense urban zone, recreation facilities, mussel farms, and vulnerable environmental sites. A Single Buoy Mooring in the center of the Mar Grande used by tankers and subsea pipeline that takes oil directly from tanker to refinery are assumed to stay at risk of accidental oil spills, despite significant progress in technology and prevention.</p><p>The oil spill model MEDSLIK-II (http://medslik-ii.org) coupled to the high resolution Southern Adriatic Northern Ionian coastal Forecasting System (SANIFS http://sanifs.cmcc.it Federico et al., 2017) is used to model hypothetical oil spill scenarios in stochastic mode. 15,000+ hypothetical individual spills are generated from randomly selected start locations: 50% from a buoy and 50% along the subsea pipeline 2018–2020. Individual spill scenario is based on a real crude oil spill caused by a catastrophic pipeline failure happened in Genoa in April 2016 (Vairo et al., 2017). The model outputs are processed statistically to represent quantitively: (1) timing of the oil drift; (2) hazard maps in probability terms at the sea surface and on the coastline; (3) oil mass balance; (4) local-zone contamination assessment.</p><p>The simulations reveal that around 48% of the spilled oil will evaporate during the first 8 hours after the accident. Being transported by highly variable currents and waves, the rest is additionally exposed to multiply reflections from sea walls and concrete wharfs that dominate in the study area. As a result, the oil will be dispersed almost isotropically in the Mar Grande, indicating a rather moderate or small level of concentrations over the minimum threshold values (French McCay, 2016).</p><p>We have concluded that at a probability of 50%, the first oil beaching event will happen within 14 hours after the accident. The most contaminated areas are predicted on and around the nearest Port berths, on the coastlines of the urban area and on the tips of the breakwaters that frame the Mar Grande openings. The remote areas of the West Port and Mar Piccolo are expected to be the least contaminated ones.</p><p>Results are applicable to contingency planning, ecological risk assessment, cost-benefit analysis, and education.</p><p>This work is conducted in the framework of the IMPRESSIVE project (#821922) co-funded by the European Commission under the H2020 Programme.</p><p>References</p><p>Federico, I., Pinardi, N., Coppini, G., Oddo, P., Lecci, R., Mossa, M., 2017. Coastal ocean forecasting with an unstructured grid model in the southern Adriatic and northern Ionian seas. Nat. Hazards Earth Syst. Sci., 17, 45–59, doi: 10.5194/nhess-17-45-2017.</p><p>French McCay, D., 2016. Potential effects thresholds for oil spill risk assessments. Proc. of the 39 AMOP Tech. Sem., Environment and Climate Change Canada, Ottawa, ON, 285–303.</p><p>Vairo, T., Magrì, S., Qualgliati, M., Reverberi, A.P., Fabiano, B., 2017. An oil pipeline catastrophic failure: accident scenario modelling and emergency response development. Chem. Eng. Trans., 57, 373–378, doi: 10.3303/CET1757063.</p>



Author(s):  
Paul Frijters ◽  
Christian Krekel

The fourth chapter is targeted mainly at readers who wish to quantify how much benefits and costs are generated by future or existing policies and programmes. The chapter compares the authors’ basic methodology for wellbeing cost-effectiveness analysis (CEA) with existing approaches to decide on public resource allocations. The main comparison is with cost-benefit analysis (CBA), but they also compare it with multi-criterion approaches, social rates of return analyses, and business case scenarios or impact assessments. The authors start with a quick reminder of their basic methodology for wellbeing CEA, after which they sketch the current practice of CBA, highlighting the differences in a stylized, non-technical manner. They also sketch the relationship between WELLBYs (wellbeing years) and QALYs (quality-adjusted life-years), deriving a proper translation between the two measures, which will culminate in the important distinction between the individual willingness-to-pay for a WELLBY and the social costs of producing a WELLBY. They then answer some crucial questions as to how more wellbeing knowledge can be incorporated into existing approaches, including the question of the monetization of wellbeing effects for current-practice CBA. Apart from analysts, this chapter is also of interest to academics in the fields of health and wellbeing as it discusses in depth the differences between WELLBYs and QALYs. The discussion on wellbeing approaches from around the world is of importance to all those tasked with embedding wellbeing into their own country’s public-sector systems.



2004 ◽  
Vol 127 (2) ◽  
pp. 150-157 ◽  
Author(s):  
Daniel Straub ◽  
Michael Havbro Faber

Different approaches to determine the acceptance criteria for fatigue induced failure of structural systems and components are discussed and compared. The considered approaches take basis in either optimization (societal cost-benefit analysis) or are derived from past and actual practice or codes (revealed preferences). The system acceptance criteria are expressed in terms of the maximal acceptable annual probability of collapse due to fatigue failure. Acceptance criteria for the individual fatigue failure modes are then derived using a simplified system reliability model. The consequence of fatigue failure of the individual joints is related to the overall system by evaluating the change in system reliability given fatigue failure. This is facilitated by the use of a simple indicator, the Residual Influence Factor. The acceptance criteria is thus formulated as a function of the system redundancy and complexity. In addition, the effect of dependencies in the structure on the acceptance criteria are investigated. Finally an example is presented where the optimal allocation of the risk to different welded joints in a jacket structure is performed by consideration of the necessary maintenance efforts.



1994 ◽  
Vol 10 (4) ◽  
pp. 675-682 ◽  
Author(s):  
Magnus Johannesson

AbstractThe costs included in economic evaluations of health care vary from study to study. Based on the theory of cost-benefit analysis, the costs that should be included in an economic evaluation are those not already included in the measurement of willingness to pay (net willingness to pay above any treatment costs paid by the individual) in a cost-benefit analysis or in the easurement of effectiveness in a cost-effectiveness analysis. These costs can be defined as the onsumption externality of the treatment (the change in production minus consumption for those included in the treatment program). For a full economic evaluation, the consequences for those included in the treatment program and a caring externality (altruism) should also be added.



2020 ◽  
Vol 20 (1) ◽  
pp. 27
Author(s):  
Halil Tunca ◽  
Ferda Esin Gulel

The crime economy has lately become a popular field of research because of regular increases in crime rates. Economists’ interest in crime analysis goes back to Becker’s (1968) model. “Cost‑benefit” analysis determined the crime preferences of rational individuals in this model. According to this analysis, if the benefit from the crime is higher than the cost to be faced, the individual will be willing to commit the crime. One of the factors studied in the crime phenomenon is migration. The main reason for migration is unemployment and poverty. The main purpose of this study is to determine the relationship between youth unemployment and crime rates by migration-receiving regions. By this purpose, aggregated crime rates, as well as non-aggregated crime rates (property crime, theft, and violent crime), were used. Also, the youth unemployment rate has been subdivided by gender differences and educational levels. We prefer to use spatial econometrics models in this study because of the unemployment rate, and crime rate showing the regional cluster pattern. Migration-receiving is considered as regions neighboring.



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