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This paper develops a dynamic stochastic general equilibrium model to analyze and derive simple budget rules in the face of volatile public revenue from natural resources in a low-income country like Niger. The simulation results suggest three policy lessons or rules of thumb. When a resource price change is positive and temporary, the best strategy is to save the revenue windfall in a sovereign fund, and use the interest income from the fund to raise citizens' consumption over time. This strategy is preferred to investing in public capital domestically, even when private investment benefits from an enhanced public capital stock. Domestic investment raises the prices of domestic goods, leaving less money for government to transfer to households; public investment is not 100 percent effective in raising output. In the presence of a negative temporary resource price change, however, the best strategy is to cut public investment. This strategy dominates other methods, such as trimming government transfers to households, which reduces consumption directly, or borrowing, which incurs an interest premium as debt rises. In the presence of persistent (positive and negative) shocks, the best strategy is a mix of public investment and saving abroad in a balanced regime that provides a natural insurance against both types of price shocks. The combination of interest income from the sovereign fund, transfers to households, and output growth brought about by public investment provides the best protective mechanism to smooth consumption over time in response to changing resource prices.
Budget Rules --- Currencies and Exchange Rates --- Debt Markets --- Dsge Modeling --- Dutch Disease --- Economic Theory & Research --- Emerging Markets --- Finance and Financial Sector Development --- Investment & Investment Climate --- Macroeconomics and Economic Growth --- Open-Economy Macroeconomics --- Private Sector Development
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Tobias Ackermann provides a comprehensive conceptualization of perceived IT security risk in the Cloud Computing context that is based on six distinct risk dimensions grounded on a structured literature review, Q-sorting, expert interviews, and analysis of data collected from 356 organizations. Additionally, the effects of security risks on negative and positive attitudinal evaluations in IT executives' Cloud Computing adoption decisions are examined. The author presents a mathematical risk quantification framework that can be used to support the IT risk management process of Cloud Computing users. The results support the risk management processes of (potential) adopters, and enable providers to develop targeted strategies to mitigate risks perceived as crucial. Der Inhalt · Cloud Computing · IT Risk Management · Scale Development · Analysis of Adoption Decisions · Risk Quantification Framework Die Zielgruppen · Information systems and computer science researchers and students · Cloud Computing users and providers Der Autor Dr. Tobias Ackermann received his doctorate at the chair of Information Systems / Software Business & Information Management at the Technische Universität Darmstadt, Germany. His areas of interest are IT risk management and the perceptions of IT security risks in the context of Cloud Computing. .
Information technology -- United States -- Finance. --- United States. Office of Management and Budget -- Rules and practice. --- Commerce --- Business & Economics --- Commerce - General --- Information technology --- Management information systems. --- Risk management. --- Cloud computing --- Management. --- Security measures. --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Business. --- Information technology. --- Business --- Business and Management. --- IT in Business. --- Data processing. --- Electronic data processing --- Web services --- Insurance --- Management --- Sociotechnical systems --- Information resources management --- Distributed processing --- Communication systems --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Business—Data processing. --- Business information services. --- Business enterprises --- Information services
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