Infrastructure coverage of the ural federal district regions: assessment metodology and diagnostic results

The article examines the infrastructure as one of the essential elements in the economic system. The authors consider the development stages of this concept in the scientific community and provide the opinions of a number of researchers as to the role and place of the infrastructure in the economic system. The article provides a brief genesis of approaches to describing the infrastructure and conferring its functions on individual branches. The authors emphasize the higher importance of infrastructure coverage with the economy transition to machine production. Two key methodological approaches are identified to describe the substance and content of the infrastructure: industrial and functional. The authors offer their methodology of assessing the infrastructure coverage of regional-level territories. The methodology is based on identifying a combination of specific indicators the values of which can be used to evaluate the development level of individual infrastructure elements. The indicative analysis being the basis of the methodological apparatus helps make a judgment of any phenomenon by comparing the current observed values with the previously adopted threshold levels. Such comparison makes it possible to classify the observations by the «norm—pre-crisis—crisis» scale. An essential advantage of this method is the possibility of standardizing the indicators, or, in other words, bringing them to one comparable conditional value. Thus, you can get estimates for individual blocks of indicators and a complex assessment for the whole set in general. The authors have identified four main infrastructure elements: transport, communications, public utility services and healthcare. The methodology includes 21 indicators all together. The test estimates based on the authors’ methodology revealed the defects in the development of the Ural regions` infrastructure. The article provides a brief analysis of the obtained data with identifying individual indicators and areas.The research has been supported by the Russian Science Foundation (Project № 14-18-00574)

Crisis Communication Patterns in Social Media during Hurricane Sandy

Hurricane Sandy was one of the deadliest and costliest of hurricanes over the past few decades. Many states experienced significant power outage, however many people used social media to communicate while having limited or no access to traditional information sources. In this study, we explored the evolution of various communication patterns using machine learning techniques and determined user concerns that emerged over the course of Hurricane Sandy. The original data included ~52M tweets coming from ~13M users between October 14, 2012 and November 12, 2012. We run topic model on ~763K tweets from top 4,029 most frequent users who tweeted about Sandy at least 100 times. We identified 250 well-defined communication patterns based on perplexity. Conversations of most frequent and relevant users indicate the evolution of numerous storm-phase (warning, response, and recovery) specific topics. People were also concerned about storm location and time, media coverage, and activities of political leaders and celebrities. We also present each relevant keyword that contributed to one particular pattern of user concerns. Such keywords would be particularly meaningful in targeted information spreading and effective crisis communication in similar major disasters. Each of these words can also be helpful for efficient hash-tagging to reach target audience as needed via social media. The pattern recognition approach of this study can be used in identifying real time user needs in future crises

Mapping networks of influence: tracking Twitter conversations through time and space

The increasing use of social media around global news events, such as the London Olympics in 2012, raises questions for international broadcasters about how to engage with users via social media in order to best achieve their individual missions. Twitter is a highly diverse social network whose conversations are multi-directional involving individual users, political and cultural actors, athletes and a range of media professionals. In so doing, users form networks of influence via their interactions affecting the ways that information is shared about specific global events. This article attempts to understand how networks of influence are formed among Twitter users, and the relative influence of global news media organisations and information providers in the Twittersphere during such global news events. We build an analysis around a set of tweets collected during the 2012 London Olympics. To understand how different users influence the conversations across Twitter, we compare three types of accounts: those belonging to a number of well-known athletes, those belonging to some well-known commentators employed by the BBC, and a number of corporate accounts belonging to the BBC World Service and the official London Twitter account. We look at the data from two perspectives. First, to understand the structure of the social groupings formed among Twitter users, we use a network analysis to model social groupings in the Twittersphere across time and space. Second, to assess the influence of individual tweets, we investigate the ageing factor of tweets, which measures how long users continue to interact with a particular tweet after it is originally posted. We consider what the profile of particular tweets from corporate and athletes’ accounts can tell us about how networks of influence are forged and maintained. We use these analyses to answer the questions: How do different types of accounts help shape the social networks? and, What determines the level and type of influence of a particular account

Estimating the costs of gender-based violence in the European Union

The purpose of the study is to identify and recommend appropriate methodologies to measure the cost of gender-based and intimate partner violence in EU-28 Member States. To define gender-based and intimate partner violence for this study we draw on the definitions advanced by the Declaration on the Elimination of Violence Against Women (UN 1993) and Council of Europe (2011) respectively. These authorities focus on the forms of violence, violence perpetrated by intimate partners and other family members (domestic violence) and sexual violence that are disproportionality perpetrated against and disproportionality impact women

The Supply of Catastrophe Insurance Under Regulatory Constraints

Klein and Kleindorfer provide a brief overview of the current extent of their research on this topic. The intent of this research is to empirically address interactions across the multiple stakeholders in the Catastrophe Insurance Business, i.e. homeowners, businesses, insurers, reinsurers, the construction and real estate sector, and regulatory institutions. Their analysis is aimed at addressing three questions: What is the structure and performance of the catastrophe insurance market? How do factors such as, interdependencies, profits, risk exposures, and distribution impact the performance of the market? What is the impact of regulation of this market on pricing adequacy, pricing precision, and financial risk? What is the current state of the market, and what future sustainable states of the market are possible? This paper is primarily devoted to describing what authors consider to be the structural drivers of supply and demand and the impact of regulatory controls. These drivers are: "Demand structure" (i.e. why consumers buy what they do) obviously contains several components. Items such as location, demography, price, policy features such as the presence of absence of bundling, "quality" effects such as perceived solvency and claims processes, and finally, how products are distributed, all impact consumer choice. In addition, consumers have other risk management options open to them, the most obvious being where to live, what type of construction to choose and what type of "mitigation", if any to employ. "Supply Structure" describes how the consumer business of insurance is conducted. Salient features would be the degree of competition, geography, profitability, solvency, exposure, loss costs, marketing costs, organizational form, financial structure, and regulatory/solvency constraints. Obviously, insurance companies attempt to maximize profits in the face of these variables "Regulatory Impact" on such things as pricing adequacy, pricing precision, and financial risk has important effects on all parties. In particular the freedom to manage ones risk exposure is critical to everyone from the individual consumer to the largest company, and regulation may produce. In an analysis to come later, the researchers will utilize detailed premium record data obtained from ISO on insurance transactions, supplemented by information on expected costs for different policies and risk characteristics. The data will, for the first time, provide and empirically grounded understanding of the supply and demand for CAT-related coverage provided in residential insurance policies. The study will seek to identify the factors that most affect supply and demand and the magnitudes of their relative effects, including the pricing of CAT coverage and alternative policy provisions.

Abstracts : policy research working paper series - numbers 2133-2196

This paper contains abstracts of Policy Research Working Paper series Numbers 2133-2196.Environmental Economics&Policies,Economic Theory&Research,Banks&Banking Reform,GovernanceIndicators,Health Economics&Finance

Toward Universal Broadband in Rural Alaska

The TERRA-Southwest project is extending broadband service to 65 communities in the Bristol Bay, Bethel and Yukon-Kuskokwim regions. A stimulus project funded by a combination of grants and loans from the Rural Utilities Service (RUS), TERRA-Southwest has installed a middle-mile network using optical fiber and terrestrial microwave. Last-mile service will be through fixed wireless or interconnection with local telephone networks. The State of Alaska, through its designee Connect Alaska, also received federal stimulus funding from the National Telecommunications and Information Administration (NTIA) for tasks that include support for an Alaska Broadband Task Force “to both formalize a strategic broadband plan for the state of Alaska and coordinate broadband activities across relevant agencies and organizations.” Thus, a study of the impact of the TERRA project in southwest Alaska is both relevant and timely. This first phase provides baseline data on current access to and use of ICTs and Internet connectivity in rural Alaska, and some insights about perceived benefits and potential barriers to adoption of broadband. It is also intended to provide guidance to the State Broadband Task Force in determining how the extension of broadband throughout the state could contribute to education, social services, and economic activities that would enhance Alaska’s future. Results of the research could also be used proactively to develop strategies to encourage broadband adoption, and to identify applications and support needed by users with limited ICT skills.Connect Alaska. The National Telecommunications and Information Administration. General Communications Incorporated.Part 1: An Analysis of Internet Use in Southwest Alaska / Introduction / Previous Studies / Current Connectivity / Analytical Framework and Research Methodology / Demographics / Mobile Phones: Access and Use / Access to the Internet / Internet Useage / Considerations about Internet Service / Interest in Broadband / Sources of News / Comparison with National Data / Internet Use by Businesses and Organizations / What Difference may Broadband make in the Region? / Conclusiongs / Part 2 Literature Review / Reference

Abstracts of Invited and Selected Papers and Organized Symposia, WAEA Annual Meetings, San Francisco, California, July 6-8, 2005

Teaching/Communication/Extension/Profession,