scholarly journals INTRODUCTION TO MACROECONOMIC DYNAMICS SPECIAL ISSUE: INEQUALITY

2008 ◽  
Vol 12 (S2) ◽  
pp. 149-153 ◽  
Author(s):  
Robert M. Townsend
Keyword(s):  
Poverty Reduction ◽  
Developing Economies ◽  
Skewed Distribution ◽  
Time Varying ◽  
Special Issue ◽  
Macroeconomic Dynamics ◽  
Distribution Of Wealth ◽  
Growth Stability ◽  
The One ◽  
Macroeconomic Growth

This special issue features inequality. This is a subject that rightly draws immediate attention from both the profession and the popular press. The numbers themselves are intrinsically interesting, if not disturbing. There is, on the one hand, great variety in the distribution of earnings and an enormously right-skewed distribution of wealth. On the other hand, there is absolute and relative poverty. In developing countries there are extremes coexisting on both ends of the distribution. But developing economies also feature growth with time-varying levels of inequality. Macroeconomic growth, stability, and social policies seem correlated with poverty reduction in some instances.

How Has Globalization Affected the Economic Growth, Structural Change, and Poverty Reduction Linkages?

2021 ◽  
pp. 551-576
Author(s):  
Aradhna Aggarwal
Keyword(s):  
Economic Growth ◽  
Structural Change ◽  
Poverty Reduction ◽  
Developing Economies ◽  
The Other ◽  
High Productivity ◽  
Weak Support ◽  
Complex Relationships ◽  
The One ◽  
Intersectoral Linkages

This chapter focuses on the complex relationships between structural change on the one hand and employment creation and poverty reduction on the other hand. It argues that globalization may have ambiguous effects on the relationships between growth and structural change by distorting domestic intersectoral linkages in the developing economies. As a result, structural change accompanied by the growth of output may not necessarily create additional employment and contribute to reductions in poverty. The key hypothesis of the chapter is that if economic growth is accompanied by productivity-enhancing structural change, it serves to generate high-productivity employment and ensures poverty reduction. The empirical results provide weak support for the hypothesis.

Editorial Introduction | Oil and Media, Oil as Media: Mediating Petrocultures Then and Now

MediaTropes ◽  
2020 ◽  
Vol 7 (2) ◽  
pp. i-xvi
Author(s):  
Jordan Kinder ◽  
Lucie Stepanik
Keyword(s):  
Media Studies ◽  
The Other ◽  
Editorial Introduction ◽  
Special Issue ◽  
Material Turn ◽  
Ecological Relations ◽  
The One

In this introduction to the special issue of MediaTropes on “Oil and Media, Oil as Media,” Jordan B. Kinder and Lucie Stepanik provide an account of the stakes and consequences of approaching oil as media as they situate it within the “material turn” of media studies and the broader project energy humanities. They argue that by critically approaching oil and its infrastructures as media, the contributions that comprise this issue puts forward one way to develop an account of oil that further refines the larger tasks and stakes implicit in the energy humanities. Together, these address the myriad ways in which oil mediates social, cultural, and ecological relations, on the one hand, and the ways in which it is mediated, on the other, while thinking through how such mediations might offer glimpses of a future beyond oil.

Preface to the special issue, CMAM 2011, no. 3.

2011 ◽  
Vol 11 (3) ◽  
pp. 272
Author(s):  
Ivan Gavrilyuk ◽  
Boris Khoromskij ◽  
Eugene Tyrtyshnikov
Keyword(s):  
Separation Of Variables ◽  
Numerical Algorithms ◽  
Multilevel Methods ◽  
High Dimensional ◽  
Special Issue ◽  
High Dimensions ◽  
Guiding Principle ◽  
Tensor Methods ◽  
Closed World ◽  
The One

Abstract In the recent years, multidimensional numerical simulations with tensor-structured data formats have been recognized as the basic concept for breaking the "curse of dimensionality". Modern applications of tensor methods include the challenging high-dimensional problems of material sciences, bio-science, stochastic modeling, signal processing, machine learning, and data mining, financial mathematics, etc. The guiding principle of the tensor methods is an approximation of multivariate functions and operators with some separation of variables to keep the computational process in a low parametric tensor-structured manifold. Tensors structures had been wildly used as models of data and discussed in the contexts of differential geometry, mechanics, algebraic geometry, data analysis etc. before tensor methods recently have penetrated into numerical computations. On the one hand, the existing tensor representation formats remained to be of a limited use in many high-dimensional problems because of lack of sufficiently reliable and fast software. On the other hand, for moderate dimensional problems (e.g. in "ab-initio" quantum chemistry) as well as for selected model problems of very high dimensions, the application of traditional canonical and Tucker formats in combination with the ideas of multilevel methods has led to the new efficient algorithms. The recent progress in tensor numerical methods is achieved with new representation formats now known as "tensor-train representations" and "hierarchical Tucker representations". Note that the formats themselves could have been picked up earlier in the literature on the modeling of quantum systems. Until 2009 they lived in a closed world of those quantum theory publications and never trespassed the territory of numerical analysis. The tremendous progress during the very recent years shows the new tensor tools in various applications and in the development of these tools and study of their approximation and algebraic properties. This special issue treats tensors as a base for efficient numerical algorithms in various modern applications and with special emphases on the new representation formats.

scholarly journals COVID-19 Outbreak and CO2 Emissions: Macro-Financial Linkages

2020 ◽  
Vol 14 (1) ◽  
pp. 12
Author(s):  
Julien Chevallier
Keyword(s):  
Co2 Emissions ◽  
Fossil Fuels ◽  
Mixed Data ◽  
Energy Information Administration ◽  
Time Varying ◽  
Data Sampling ◽  
Quantitative Finance ◽  
Financial Variables ◽  
Mixed Data Sampling ◽  
The One

In the Dynamic Conditional Correlation with Mixed Data Sampling (DCC-MIDAS) framework, we scrutinize the correlations between the macro-financial environment and CO2 emissions in the aftermath of the COVID-19 diffusion. The main original idea is that the economy’s lock-down will alleviate part of the greenhouse gases’ burden that human activity induces on the environment. We capture the time-varying correlations between U.S. COVID-19 confirmed cases, deaths, and recovered cases that were recorded by the Johns Hopkins Coronavirus Center, on the one hand; U.S. Total Industrial Production Index and Total Fossil Fuels CO2 emissions from the U.S. Energy Information Administration on the other hand. High-frequency data for U.S. stock markets are included with five-minute realized volatility from the Oxford-Man Institute of Quantitative Finance. The DCC-MIDAS approach indicates that COVID-19 confirmed cases and deaths negatively influence the macro-financial variables and CO2 emissions. We quantify the time-varying correlations of CO2 emissions with either COVID-19 confirmed cases or COVID-19 deaths to sharply decrease by −15% to −30%. The main takeaway is that we track correlations and reveal a recessionary outlook against the background of the pandemic.

Policy and Practice: An Overview

1990 ◽  
Vol 12 (3) ◽  
pp. 233-239 ◽  
Author(s):  
David K. Cohen ◽  
Deborah Loewenberg Ball
Keyword(s):  
Case Studies ◽  
Classroom Practice ◽  
Teaching And Learning ◽  
Early Report ◽  
State Policies ◽  
The Other ◽  
Special Issue ◽  
Policy And Practice ◽  
School Practices ◽  
The One

Policymakers in the U. S. have been trying to change schools and school practices for years. Though studies of such policies raise doubts about their effects, the last decade has seen an unprecedented increase in state policies designed to change instructional practice. One of the boldest and most comprehensive of these has been undertaken in California, where state policymakers have launched an ambitious effort to improve teaching and learning in schools. We offer an early report on California's reforms, focusing on mathematics. State officials have been promoting substantial changes in instruction designed to deepen students' mathematical understanding, to enhance their appreciation of mathematics and to improve their capacity to reason mathematically. If successful, these reforms would be a sharp departure from existing classroom practice, which attends chiefly to computational skills. The research reported here focuses on teachers' early responses to the state's efforts to change mathematics instruction. The case studies of five teachers highlight a key dilemma in such ambitious reforms. On the one hand, teachers are seen as the root of the problem: their instruction is mechanical, often boring, and superficial. On the other hand, teachers are cast as the key agents of improvement because students will not learn the new mathematics that policymakers intend unless teachers learn that math and teach it. But how can teachers teach a mathematics that they never learned, in ways they never experienced? That is the question explored in this special issue.

Space, Time and Mind-Dependence

2011 ◽  
Vol 16 (2) ◽  
pp. 175-190 ◽  
Author(s):  
Sorin Baiasu
Keyword(s):  
Transcendental Idealism ◽  
Space Time ◽  
The Other ◽  
Special Issue ◽  
Critical Philosophy ◽  
The Third ◽  
The One

AbstractThe interpretation of Kant's Critical philosophy as a version of traditional idealism has a long history. In spite of Kant's and his commentators’ various attempts to distinguish between traditional and transcendental idealism, his philosophy continues to be construed as committed (whether explicitly or implicitly and whether consistently or inconsistently) to various features usually associated with the traditional idealist project. As a result, most often, the accusation is that his Critical philosophy makes too strong metaphysical and epistemological claims.In his The Revolutionary Kant, Graham Bird engages in a systematic and thorough evaluation of the traditionalist interpretation, as part of perhaps the most comprehensive and compelling defence of a revolutionary reading of Kant's thought. In the third part of this special issue, the exchanges between, on the one hand, Graham Bird and, on the other, Gary Banham, Gordon Brittan, Manfred Kuehn, Adrian Moore and Kenneth Westphal focus on specific aspects of Bird's interpretation of Kant's first Critique. More exactly, the emphasis is on specific aspects of Bird's interpretation of the Introduction, Analytic of Principles and Transcendental Dialectic of Kant's first Critique.The second part of the special issue is devoted to discussions of particular topics in Bird's construal of the remaining significant parts of the first Critique, namely, of the Transcendental Aesthetic and the Analytic of Concepts. Written by Sorin Baiasu and Michelle Grier, these articles examine specific issues in these two remaining parts of the Critique, from the perspective of the debate between the traditionalist and revolutionary interpretation. The special issue begins with an Introduction by the guest co-editors. This provides a summary of the exchanges between Bird and his critics, with a particular focus on the debates stemming from the differences between traditional and revolutionary interpretations of Kant.

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