Empirical Analysis of the Interconnection between Structural Changes and Labour Productivity
The paper discusses the change of the influence of certain branches and branch changes on the economic growth, particularly the labor productivity observed in the last few decades. As a result the processing industry is replaced by the service sector, which gradually becomes dominating since 1970s. For this purpose it is proved with the results of a long-lasting work of the Groningen Growth and Development Centre (The Netherlands) concerning countries from European Union and USA in the second half of 20th century – mainly in 1980s and 1990s and until the middle of the first decade of 21st century. The achieved results give reasons for a change of the existing stylized facts formulated by N. Kaldor (1967), S. Kuznets (1971) and A. Maddison (1980).
EU KLEMS Growth and Productivity Accounts: An Overview
In March 2007, the EU KLEMS Growth and Productivity Accounts were publicly released. These accounts include measures of output growth, employment and skill creation, capital formation and multifactor productivity (MFP) at the industry level for European Union member states from 1970 onwards. This overview paper first discusses the key characteristics of the database and the variables, country and industry coverage, then reviews the growth accounting methodology, including the measurement of labour and capital services, and finally provides a brief analysis of major trends. The first release of the EU KLEMS database confirms the view that European countries showed a significant slowdown in productivity growth since 1995, which is shown to be widespread across countries and industries, but with notable differences.
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.