The Public Service Broadcaster of Lithuania in the Era of Commercialization
The television industry in Lithuania is analyzed in this thesis with a focus on the impact of commercialization on the public service broadcaster. The purpose of the research paper is to describe the impact of the changing market on the public service broadcaster of Lithuania using as theoretical framework the approach of the political economy of the media and communication and quantitative methods. One part of the thesis is the theoretical research, which is done by analyzing and systematically presenting books and articles that relate to the thesis’s topic. In the second part of the work, the theoretical framework is applied to the Lithuanian television market. In addition, an empirical study is conducted in order to apply the theoretical discussion and answer the main research question. The main results of the study suggest that the public service broadcaster of Lithuania managed to maintain its programmes’ diversity. However, the amount of entertainment, imported production and advertising has increased. Therefore, a certain concern about growing commercialization is reasonable. These changes correspond to the tendencies in the European television industry. However, Lithuanian viewers seem to prefer the more heavily commercialized programmes since the leader of the market is a commercial television station, whose market share is almost twice bigger than LTV’s. Thus, LTV is facing a dilemma between preserving quality and diversity and commercializing its programmes in order to increase its audience share (dilemma between quality and audience share).
Competition, Concentration and Diversity in European Television Markets
This study investigates how competition, concentration and public broadcasters influence diversity of programme supply in European television markets. It focuses on free, national generalist channels; studies programmes as provided throughout the day; and tests hypotheses with data on Finland, France, Germany, Greece, Italy, the Netherlands, Spain and the U.K. for the late 1980s and 1990s. It concludes that competition is moderate in most markets. Under these conditions, competition and concentration contribute to a diverse supply of programmes that mirrors audience demand, while public broadcasters increase diversity of supply above competitive market levels.
Complexity, Network-Decisions And Alternative Risk Premia: Some New Theories Of Structural Change And Portfolio Decisions.
Structural Change is the basis for many decisions such as government fiscal and monetary policies, government interventions, corporate-expenditure decisions, corporate strategic decisions, portfolio management decisions in finance; household allocation decisions, etc.. Structural change in industries and national economies is increasingly more difficult to detect partly because of the growth and dominance of Complex Systems and “Networks” in modern industries and economies – such Networks and Complex Systems include GVCs (global value chains), retail store networks; franchising networks; internet networks; services networks; credit-chains in industries; online social networks; etc.. The relationship between Complexity and Structural Change is well established in the physics, applied math and economic dynamics literatures. Traditional definitions and modeling of structural change have erroneously focused on changes in labor, technological progress, market share, and or capital – which are grossly inadequate in the new economy and post- global financial crisis (as confirmed by changes in the global retailing and housing industries and other industries). Also the modeling of structural change seems to be constrained by the availability of data, and often omits the relationship between structural change on one hand, and globalization, financial stability and international financial contagion. This article: i) introduces the Operations Strategy Model of structural change, explains how it differs from the Lewis Model of Structural Change; and explains the often omitted relationship between operations strategy (of companies and government agencies) and structural change; ii) introduces other new Complexity-based models/theories of Structural Change in industries; iii) reviews the relationships among Operations Research, Complexity and Structural Change; iv) explains the symbiotic relationship between structural change on one hand, and economic growth, financial stability, financial contagion and globalization; v) discusses the significant gap between academic research and practice and explains some issues and factors that should be considered in the development and testing of structural change models; vi) explains how alternative risk premia can be generated from new models of Structural Change.