Innovation + Equality pdf epub mobi txt 电子书下载 2025

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Joshua Gans is Professor of Strategic Management and holds the Jeffrey S. Skoll Chair of Technical Innovation and Entrepreneurship at the University of Toronto's Rotman School of Management. He is the author of The Disruption Dilemma (MIT Press), Prediction Machines, and other books.

Andrew Leigh is a Member of the Australian House of Representatives, a former economics professor, and author of Battlers and Billionaires, Randomistas and other books.

出版者:MIT Press

作者:Joshua Gans

出品人:

页数:192

译者:

出版时间:2019-10-29

价格:USD 17.99

装帧:Hardcover

isbn号码:9780262043229

丛书系列:

图书标签:

英文
经济
社会
TECHNOLOGY
ECONOMICS

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How to get more innovation and more equality.

Is economic inequality the price we pay for innovation? The amazing technological advances of the last two decades―in such areas as artificial intelligence, genetics, and materials―have benefited society collectively and rewarded innovators handsomely: we get cool smartphones and technology moguls become billionaires. This contributes to a growing wealth gap; in the United States; the wealth controlled by the top 0.1 percent of households equals that of the bottom ninety percent. Is this the inevitable cost of an innovation-driven economy? Economist Joshua Gans and policy maker Andrew Leigh make the case that pursuing innovation does not mean giving up on equality―precisely the opposite. In this book, they outline ways that society can become both more entrepreneurial and more egalitarian.

All innovation entails uncertainty; there's no way to predict which new technologies will catch on. Therefore, Gans and Leigh argue, rather than betting on the future of particular professions, we should consider policies that embrace uncertainty and protect people from unfavorable outcomes. To this end, they suggest policies that promote both innovation and equality. If we encourage innovation in the right way, our future can look more like the cheerful techno-utopia of Star Trek than the dark techno-dystopia of TheTerminator.