AGRICULTURAL TERRORISM: POTENTIAL ECONOMIC EFFECTS ON THE POULTRY INDUSTRY IN MISSISSIPPI
An input/output model was developed to estimate the potential economic impact of intentional attacks by agricultural terrorists using Exotic Newcastle Disease (END) on the poultry industry in Mississippi. The model measured impacts in terms of income, employment, output, and tax changes in the poultry industry.
Realizing the promise of public-private partnerships in U.S. critical infrastructure protection
To date, much attention has focused on the advantages of public-private partnerships for critical infrastructure protection in the United States. These include reducing the duplication of effort, enhancing cross-sector communication, increasing efficiency, and ultimately achieving the protection objectives better than government or business acting independently. The benefits suggest that public-private partnerships will be a significant and enduring part of critical infrastructure protection initiatives in the United States. However, we argue that a pattern is emerging that may lead to a fracture between the appearance and the reality of public-private partnerships in U.S. critical infrastructure protection. Although some research has focused on specific challenges in this domain of U.S. homeland security, comparatively little attention has been paid to thinking through the issues facing critical infrastructure protection as a whole. We maintain that unless concrete steps are taken to bolster public-private partnerships in critical infrastructure protection, they will be much less effective than hoped for by U.S. homeland security analysts.
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.