Информационное общество и феномен известности.
At the present level of development the information and knowledge become important engines of global economic growth and key elements of national strate-gy for increasing country’s competitiveness in the international market. The article is aimed to analyze two monitoring systems of innovation capacity (ICT Development Index and Networked Readiness Index) as the indicators of development of knowledge economy and information society.
This book directly confronts uncomfortable questions that many prefer to brush aside: if economists and other scholars, politicians, and business professionals understand the causes of economic crises, as they claim, then why do such damaging crises continue to occur? Can we trust business and intellectual elites who advocate the principles of Realpolitik and claim the "public good" as their priority, yet consistently favor maximization of profit over ethical issues?
Former deputy prime minister of Russia Grigory Yavlinsky, an internationally respected free-market economist, makes a powerful case that the often-cited causes of global economic instability—institutional failings, wrong decisions by regulators, insufficient or incorrect information, and the like—are only secondary to a far more significant underlying cause: the failure to understand that universal social norms are essential to thriving businesses and social and economic progress. Yavlinsky explores the widespread disregard for moral values in business decisions and calls for restoration of principled behavior in politics and economic practices. The unwelcome alternative, he warns, will be a twenty-first-century global economy in the grip of unending crises.
Grigory Yavlinsky is a Russian economist and founder and member of the Russian United Democratic Party (YABLOKO). As deputy prime minister of Russia in 1990, he wrote the first Russian economic program for transition to a free-market economy, 500 Days. He lives in Moscow.
“Grigory Yavlinsky’s book is an important contribution to understanding the interplay between social norms and modern economy. The current global crisis makes his analysis especially relevant.”—George Soros
“Reading Grigory Yavlinsky's remarkable book, I was reminded of Adam Smith, also a moral philosopher concerned with the correlation between individual aspirations and the enlightened evolution of society. It is invaluable to have the perspective of an intellectual such as Yavlinsky writing in the shadow of swiftly moving events on the global stage. He explains how market mechanisms influence international developments ranging from instability in European markets to the recent ‘Great Recession’ in the United States.”—Vartan Gregorian, President, Carnegie Corporation of New York
“Yavlinsky provides a new and in-depth interpretation of the events leading to the current recession and broader interpretations of how to avoid future ones. Realeconomik has my enthusiastic endorsement.”—Michael D. Intriligator, University of California, Los Angeles
“With clarity and eloquence, Yavlinsky argues that the deepest cause of the global recession was the erosion of the world economy’s moral dimensions. As a professional economist who has long been a leader of the Russian opposition, he knows how to splice politics and economics. As a politician who has repeatedly declined high office on grounds of principle, he lends the book additional authority. Realeconomik is a work that will, I believe, help to spark a public debate on issues of profound importance for humankind.”—Peter Reddaway, George Washington University
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.