Automation And Its Macroeconomic Consequences
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|Author||: Klaus Prettner,David E. Bloom|
|Publsiher||: Academic Press|
|Total Pages||: 248|
|Genre||: Business & Economics|
Download Automation and Its Macroeconomic Consequences Book in PDF, Epub and Kindle
Automation and Its Macroeconomic Consequences reveals new ways to understand the economic characteristics of our increasing dependence on machines. Illuminating technical and social elements, it describes economic policies that could counteract negative income distribution consequences of automation without hampering the adoption of new technologies. Arguing that modern automation cannot be compared to the Industrial Revolution, it considers consequences of automation such as spatial patterns, urbanization, and regional concerns. In touching upon labor, growth, demographic, and policy, Automation and its Macroeconomic Consequences stands at the intersection of technology and economics, offering a comprehensive portrait illustrated by empirical observations and examples. Introduces formal growth models that include automation and the empirical specifications on which the data-driven results rely Focuses on formal modeling, empirical analysis and derivation of evidence-based policy conclusions Considers consequences of automation, such as spatial patterns, urbanization and regional concerns
|Author||: Elliott, Kimberly A.|
|Publsiher||: Edward Elgar Publishing|
|Total Pages||: 464|
|Genre||: Political Science|
Download Handbook on Globalisation and Labour Standards Book in PDF, Epub and Kindle
This comprehensive Handbook explores the complex and volatile debate over globalisation and labour standards. It offers key insights into the impact of globalisation on workers, the obligations of corporations and international legal bodies in protecting workers’ rights and maximising the opportunities offered by international trade and investment.
|Author||: Melanie Arntz,Terry Gregory,Ulrich Zierahn|
|Total Pages||: 135|
|Genre||: Electronic Book|
Download Digitalization and the Future of Work Book in PDF, Epub and Kindle
Computing power continues to grow at an enormous rate. Simultaneously, more and better data is increasingly available and Machine Learning methods have seen significant breakthroughs in the recent past. All this pushes further the boundary of what machines can do. Nowadays increasingly complex tasks are automatable at a precision which seemed infeasible only few years ago. The examples range from voice and image recognition, playing Go, to self-driving vehicles. Machines are able to perform more and more manual and also cognitive tasks that previously only humans could do. As a result of these developments, some argue that large shares of jobs are "at risk of automation", spurring public fears of massive job-losses and technological unemployment. This chapter discusses how new digital technologies might affect the labor market in the near future. First, the chapter discusses estimates of automation potentials, showing that many estimates are severely upward biased because they ignore that workers in seemingly automatable occupations already take over hard-to-automate tasks. Secondly, it highlights that these numbers only refer to what theoretically could be automated and that this must not be equated with job-losses or employment effects - a mistake that is done often in the public debate. Thirdly, the chapter develops scenarios on how digitalization is likely to affect the German labor market in the next five years and derives implications for policy makers on how to shape the future of work. Germany is an interesting case to study, as it is a developed country at the technological frontier. In particular, the main challenge will not be the number, but the structure of jobs and the corresponding need for supply side adjustments to meet the shift in demand both within and between occupations and sectors.
|Author||: Olivér Kovács|
|Total Pages||: 432|
|Genre||: Business & Economics|
Download Complexity Economics Book in PDF, Epub and Kindle
Our socio-economic innovation ecosystem is riddled with ever-increasing complexity, as we are faced with more frequent and intense shocks, such as COVID-19. Unfortunately, addressing complexity requires a different kind of economic governance. There is increasing pressure on economics to not only going beyond its traditional mainstream boundaries but also to tackle real-world problems such as fostering structural change, enhancing sustained growth, promoting inclusive development in the era of the digital economy, and boosting green growth, while addressing the divide between the financial sector and the real economy. This book demonstrates how to apply complexity science to economics, in an effective and instructive way, in the interest of life-enhancing policies. The book revolves around the non-negligible problem of why economics, to date, seems to be insufficient in guiding economic governance to navigate through real and ever-intensifying complex socio-economic and environmental challenges. With its interdisciplinary approach, the book scans the nuanced nexus between complexity and economics by incorporating, as well as transcending the state-of-the-art literature. It identifies ways to trigger opportunities for behaviour change in the economic profession with respect to how to teach and what, introducing and developing further complexity economics thinking with the configuration of its main principles and outlining the silhouette of next-generation economic governance. The book deciphers recommendations both for economic theory, practice, and education and economic governance. It will be of interest to students, scholars, academics, think tank researchers and economic policy practitioners at the national and/or supranational level.
|Author||: Marcelo Suárez-Orozco,Carola Suárez-Orozco|
|Publsiher||: Columbia University Press|
|Total Pages||: 135|
Download Education Book in PDF, Epub and Kindle
In an age of catastrophes—unchecked climate change, extreme poverty, forced migrations, war, and terror, all compounded by the COVID-19 pandemic—how can schooling be reengineered and education reimagined? This book calls for a new global approach to education that responds to these overlapping crises in order to enrich and enhance the lives of children everywhere. Marcelo Suárez-Orozco and Carola Suárez-Orozco convene scholars and practitioners from a range of disciplines—including anthropology, neuroscience, demography, psychology, child development, sociology, and economics—who offer incisive essays on the global state of education. Contributors consider how educational policy and practice can foster social inclusion and improve outcomes for all children. They emphasize the centrality of education to social and environmental justice, as well as the philosophical foundations of education and its centrality to human flourishing, personal dignity, and sustainable development. Chapters examine topics such as the neuroscience of education; the uses of technology to engage children who are not reached by traditional schooling; education for climate change; the education of immigrants, refugees, and the forcibly displaced; and how to address and mitigate the effects of inequality and xenophobia in the classroom. Global and interdisciplinary, Education speaks directly to urgent contemporary challenges. Contributors include Stefania Giannini, the director of education for UNESCO; development economist Jeffrey Sachs; cognitive psychologist Howard Gardner; Carla Rinaldi, president of the Reggio Children Foundation; and academics from leading global universities. The book features a foreword by Pope Francis.
|Author||: B. Carlsson|
|Publsiher||: Springer Science & Business Media|
|Total Pages||: 495|
|Genre||: Business & Economics|
Download Technological Systems and Economic Performance The Case of Factory Automation Book in PDF, Epub and Kindle
In 1987 the Swedish National Board for Technical Development (STU, later becoming the Swedish National Board for Industrial and Technical Development, NUTEK) initiated a study of Sweden's Technological Systems and Future Development Potential. A comprehensive, interdisciplinary study was envisioned, yielding not only useful insight but also a permanent competence base for future analyses of technological systems and technology policy in Sweden. Three leading Swedish research institutes were invited to participate: the Industrial Institute for Economic and Social Research in Stockholm, the Department ofIndustrial Management and Economics at Chalmers University of Technology in Gothenburg, and the Research Policy Institute at the University of Lund. I was invited to direct the project. The project group decided to focus initially on a particular technological system, namely factory automation, to be followed by similar studies of other systems. Numerous publications have resulted from the project thus far. The current volume represents a summary of our work on factory automation. It consists of several original essays and of some previously published papers which have been edited, in some cases substantially, in order to form a comprehensive and coherent picture of a technological system. To our knowledge, this is the first in-depth analysis of a technological system designed as a component of a systematic study of technological systems more generally. At the time of this writing, three further studies on electronics and computers, pharmaceuticals, and powder technology are under way, to be published in a later volume.
|Author||: Bernard C. Beaudreau|
|Publsiher||: Greenwood Publishing Group|
|Total Pages||: 189|
Download Energy and Organization Book in PDF, Epub and Kindle
The author incorporates energy into the corpus of economic analysis and develops a new empirical model of production.
|Author||: Ajay Agrawal,Joshua Gans,Avi Goldfarb|
|Publsiher||: University of Chicago Press|
|Total Pages||: 642|
|Genre||: Business & Economics|
Download The Economics of Artificial Intelligence Book in PDF, Epub and Kindle
Advances in artificial intelligence (AI) highlight the potential of this technology to affect productivity, growth, inequality, market power, innovation, and employment. This volume seeks to set the agenda for economic research on the impact of AI. It covers four broad themes: AI as a general purpose technology; the relationships between AI, growth, jobs, and inequality; regulatory responses to changes brought on by AI; and the effects of AI on the way economic research is conducted. It explores the economic influence of machine learning, the branch of computational statistics that has driven much of the recent excitement around AI, as well as the economic impact of robotics and automation and the potential economic consequences of a still-hypothetical artificial general intelligence. The volume provides frameworks for understanding the economic impact of AI and identifies a number of open research questions. Contributors: Daron Acemoglu, Massachusetts Institute of Technology Philippe Aghion, Collège de France Ajay Agrawal, University of Toronto Susan Athey, Stanford University James Bessen, Boston University School of Law Erik Brynjolfsson, MIT Sloan School of Management Colin F. Camerer, California Institute of Technology Judith Chevalier, Yale School of Management Iain M. Cockburn, Boston University Tyler Cowen, George Mason University Jason Furman, Harvard Kennedy School Patrick Francois, University of British Columbia Alberto Galasso, University of Toronto Joshua Gans, University of Toronto Avi Goldfarb, University of Toronto Austan Goolsbee, University of Chicago Booth School of Business Rebecca Henderson, Harvard Business School Ginger Zhe Jin, University of Maryland Benjamin F. Jones, Northwestern University Charles I. Jones, Stanford University Daniel Kahneman, Princeton University Anton Korinek, Johns Hopkins University Mara Lederman, University of Toronto Hong Luo, Harvard Business School John McHale, National University of Ireland Paul R. Milgrom, Stanford University Matthew Mitchell, University of Toronto Alexander Oettl, Georgia Institute of Technology Andrea Prat, Columbia Business School Manav Raj, New York University Pascual Restrepo, Boston University Daniel Rock, MIT Sloan School of Management Jeffrey D. Sachs, Columbia University Robert Seamans, New York University Scott Stern, MIT Sloan School of Management Betsey Stevenson, University of Michigan Joseph E. Stiglitz. Columbia University Chad Syverson, University of Chicago Booth School of Business Matt Taddy, University of Chicago Booth School of Business Steven Tadelis, University of California, Berkeley Manuel Trajtenberg, Tel Aviv University Daniel Trefler, University of Toronto Catherine Tucker, MIT Sloan School of Management Hal Varian, University of California, Berkeley