الصفحة 1
الصفحة 1
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Managing Elevated Risk : Global Liquidity, Capital Flows, and Macroprudential Policy—An Asian Perspective

Discusses the risks and opportunities that arise in Emerging Asia given the context of a new environment in global liquidity and capital flows. It elaborates on the need to ensure financial and overall economic stability in the region through improved financial regulation and other policy measures to minimize the emergent risks. "Managing Elevated Risk: Global Liquidity, Capital Flows, and Macroprudential Policy—An Asian Perspective" also explores the range of policy options that may be deployed to address the impact of global liquidity on domestic financial and socio-economic conditions including income inequality. The book is primarily aimed at policy makers, financial market regulators and supervisory agencies to help them improve national regulatory systems and to promote harmonization of national regulations and practices in line with global standards.

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Macroeconomic analysis for economic growth

Discusses the essential principles that guide macroeconomic policy formulation and implementation to stimulate strong economic growth for sustainable development, especially for emerging economies. it includes twelve chapters over three sections: "macroeconomics of economic growth", "labour market and employment", and "the financial system and macroeconomic performance". key conclusions illustrate that the efficacy of regulatory frameworks to create enabling conditions for nurturing and bolstering robust value-adding production structures anchored on appropriate macroeconomic management are the fundamental building blocks of strong economic growth.

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Computational Aspects of General Equilibrium Theory : Refutable Theories of Value

This monograph presents a general equilibrium methodology for microeconomic policy analysis. It is intended to serve as an alternative to the now classical, axiomatic general equilibrium theory as exposited in Debreu`s Theory of Value (1959) or Arrow and Hahn`s General Competitive Analysis (1971). The methodology proposed in this monograph does not presume the existence of market equilibrium, accepts the inherent indeterminancy of nonparametric general equlibrium models, and offers effective algorithms for computing counterfactual equilibria in these models. It consists of several essays written over the last decade, some with colleagues or former graduate students, and an appendix by Charles Steinhorn on the elements of O-minimal structures, the mathematical framework for our analysis.

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Complexity hints for economic policy

This volume extends the complexity approach to economics. It provides some alternative pattern generators, which can supplement existing approaches by providing an alternative way of finding patterns than be obtained by the traditional scientific approach.

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Competition Policies in Emerging Economies : Lessons and Challenges from Central America and Mexico

Do small developing economies, or SDEs, need a specific competition policy to create competitive markets? Against the backdrop of globalization, protectionist policies that promote state ownership and heavy regulation of key industries are proving increasingly ineffective for driving growth. Countries around the world are instituting reforms to promote competition and business creation, yet the economic and political concentration of power, feeble judicial systems, and the scarcity of human and financial resources pose special challenges to SDEs. Competition Policies in Emerging Economies features an in-depth analysis of two strategic industries — telecommunications and banking — in several Central American nations which sheds light on the dynamics of the transition to deregulation and trade liberalization. Examining the lessons learned from these experiences and presenting discussion of political, legal, economic, financial, cultural, and organizational issues, the book provides unique perspectives on competition policy and economic development.

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Big Data in Energy Economics

Combines energy economics and big data modeling analysis in energy conversion and management and comprehensively introduces the relevant theories, key technologies, and application examples of the smart energy economy. With the help of time series big data modeling results, energy economy managers develop reasonable and feasible pricing mechanisms of electricity price and improve the absorption capacity of the power grid. In addition, they also carry out scientific power equipment scheduling and cost–benefit analysis according to the results of data mining, so as to avoid the loss caused by accidental damage of equipment. Energy users adjust their power consumption behavior through the modeling results provided and achieve the effect of energy saving and emission reduction while reasonably reducing the electricity expenditure.

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