Automation and Its Macroeconomic Consequences: Theory, Evidence, and Social Impacts

Erscheinungsjahr 2020
ISBN: 978-0-12-818028-0
Verlag: ACADEMIC PR INC

Buch, Englisch, 248 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 362 g

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.

Zielgruppe

<p>Upper-division undergraduates, graduate students, researchers, and professionals working in labor economics, development economics, and industrial innovation.</p>

Autoren/Hrsg.

Prettner, Klaus

Bloom, David E.

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Management Forschung & Entwicklung (F&E), Innovation
• Wirtschaftswissenschaften Volkswirtschaftslehre Industrie- und Technologiepolitik
• Wirtschaftswissenschaften Volkswirtschaftslehre Wirtschaftssysteme, Wirtschaftsstrukturen
• Wirtschaftswissenschaften Volkswirtschaftslehre Wirtschaftspolitik, politische Ökonomie
• Sozialwissenschaften Politikwissenschaft Regierungspolitik Kultur-, Wissenschafts- & Technologiepolitik
• Sozialwissenschaften Politikwissenschaft Regierungspolitik Wirtschafts- und Finanzpolitik

Inhaltsverzeichnis

- Introduction

- The stylized facts

- Empirical evidence on the economic effects of automation

- A simple macroeconomic framework for analyzing automation

- Endogenous savings and extensions of the baseline model

- Automation as a potential response to the challenges of demographic change

- Policy challenges

- Peering into the future: long-run economic and social consequences of automation; with an epilogue on COVID-19

Über Autor(innen)

Bloom, David E.
David E. Bloom is Clarence James Gamble Professor of Economics and Demography at the Harvard T.H. Chan School of Public Health. He is also Research Associate at the National Bureau of Economic Research and Research Fellow at IZA - Institute of Labor Economics. Bloom received a B.S. in Industrial and Labor Relations from Cornell University in 1976 and a Ph.D. in Economics and Demography from Princeton University in 1981. Bloom previously served on the public policy faculty at Carnegie-Mellon University and on the economics faculties at Harvard University and Columbia University. In recent years, he has written extensively on the links among health, education, population, and labor, and on economic valuation.