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The requirement that federal agencies prepare economic studies--regulatory impact analyses (RIA)--for major new environmental and other social regulations has been controversial since its implementation almost thirty years ago. In a new RFF report, experts with differing perspectives take a hard look at several recent RIAs issued by the U.S. Environmental Protection Agency and explore what reforms would benefit the current system. The publication grew out of a series of workshops drawing upon views from government officials, legal scholars, and academic experts.

The aim of cross impact analysis (CIA) is to predict the impact of a first event on a second. For organizations strategic planning, it is helpful to identify the impacts among organizations internal events and to compare these impacts to the corresponding impacts of external events from organizations competitors. For this, literature has introduced compared cross impact analysis (CCIA) that depicts advantages and disadvantages of the relationships between organizations events to the relationships between competitors' events. However, CCIA is restricted to the use of patent data as representative for competitors events and it applies a knowledge structure based text mining approach that does not allow considering semantic aspects from highly unstructured textual information . In contrast to related work, we propose an internet based environmental scanning procedure to identify textual patterns represent competitors events. To enable processing of this highly unstructured textual information, the proposed methodology uses latent semantic indexing (LSI) to calculate the compared cross impacts (CCI) for an organization. A latent semantic subspace is built that consists of semantic textual patterns. These patterns are selected that represent organizations events. A web mining approach is used for crawling textual information from the internet based on keywords extracted from each selected pattern. This textual information is projected into the same latent semantic subspace. Based on the relationships between the semantic textual patterns in the su bspace, CCI is calculated for different events of an organization. A case study shows that the proposedapproach successfully calculates the CCI for technologies processed by a governmental organization. This enables decision makers to direct their investments more targeted.

The assessment of local, regional or national impacts of an influx of tourists - of different kind and origin - has in recent years become a new challenge for economics research in the tourism sector. There is a clear need to develop solid methodologies through which the socio-economic impacts of tourism can be assessed. Tourism impact assessment - as a systematic approach to the estimation of socio-economic effects of tourism on relevant parts of the economy - has become a timely response to the need for appropriate information for stakeholders, both public and private. The present volume brings together a set of recent impact studies - of both a theoretical-methodological and an applied policy-oriented nature - which have been selected on the basis of their originality or novel contribution to the research in this field.

Over the past decades, considerable debate has emerged surrounding the use of cost-benefit analysis (CBA) to analyze and make recommendations for environmental and safety regulations. Critics argue that CBA forces values on unquantifiable factors, that it does not adequately measure benefits across generations, and that it is not adaptable in situations of uncertainty. Proponents, on the other hand, believe that a well-done CBA provides useful, albeit imperfect, information to policymakers precisely because of the standard metrics that are applied across the analysis. Largely absent from the d

This paper integrates two methodologies of risk and impact analysis—the partitioned multiobjective risk method (PMRM) and the multiobjective, multistage impact analysis method (MMIAM). The PMRM, in an effort to overcome the difficulties created by commensurating extreme events that have catastrophic impacts with those that have more frequent but less harmful consequences, introduces the use of conditional expectations for different regimes of probabilities and damages. The MMIAM is a multiobjective decisionmaking method for impact analysis which explicitly develops trade‐offs among different objectives at different stages or periods. Decision makers who must act under conditions of extreme risk and uncertainty often find that they are more interested in knowing "what not to do" than they are in optimizing their current objectives (the more traditional aim of decision‐making methodologies). This paper focuses on a way to answer their needs, in which major elements of both the PMRM and the MMIAM are combined in a new, integrated methodology, termed here the multiobjective risk‐impact analysis method (MRIAM). The new methodology incorporates risk and impact analysis within a dynamic multiobjective decision‐making framework. To demonstrate the usefulness of the integrated methodology, an example problem concerning the environmental effects of pollutant emissions over a number of years is formulated, solved, and analyzed.

Media Rise review of programming initiatives, events and activities from 2013 to 2020. Impact Analysis Report. Key speakers, sponsors, collaborators, content creators, Media Rise Festival, Youth Media Rise, 48-hour video challenge, networking lounge, Pitch Night, Forum, and Early Rise event summaries are available. Testimonials and reach information are shared. ; Media Rise's report on its activities, events, and impact from 2013-2020. This report includes key events, stakeholders, examples, and case studies relating to community-based participatory action research on meaningful media. Established in 2013, Media Rise is a global nonprofit alliance that connects people and ideas to promote meaningful media. We believe in the power of positive storytelling, media, art and design to make the world a better place. We empower people to create and consume meaningful media that promotes universal human values such as compassion, empathy and respect. We celebrate success stories of how to unleash the power of media to accelerate social change. We encourage collaboration between cause-driven creatives, media professionals, educators, and government and nonprofit leaders to amplify their collective impact. ; Media Rise (www.mediarisenow.org)