Reallocating innovative resources around growth bottlenecks

Economy-wide increasing returns to scale embodied in a general purpose technology (GPT) and its applications are often a key source of long-run growth. Yet the successful exploitation of increasing returns calls for coordination on a particular technological direction, reducing flexibility and choic...

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Main Authors: Bresnahan, Timothy, Yin, Pai-Ling
Other Authors: Sloan School of Management
Format: Article
Language:en_US
Published: Oxford University Press 2011
Online Access:http://hdl.handle.net/1721.1/67708
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author Bresnahan, Timothy
Yin, Pai-Ling
author2 Sloan School of Management
author_facet Sloan School of Management
Bresnahan, Timothy
Yin, Pai-Ling
author_sort Bresnahan, Timothy
collection MIT
description Economy-wide increasing returns to scale embodied in a general purpose technology (GPT) and its applications are often a key source of long-run growth. Yet the successful exploitation of increasing returns calls for coordination on a particular technological direction, reducing flexibility and choice ex post and potentially creating a growth bottleneck. When the bottleneck is controlled by a single firm, the resulting entry barriers reduce the ability of demanders to choose superior, alternative technologies. We examine how such a growth bottleneck can eventually be overcome under certain key conditions. Demand must be fundamentally diverse so that the original GPT does not serve all demanders. Firms barred from entry into the primary GPT market can then reallocate innovative resources to create new markets to meet the unserved demand. The demand in these new markets must be valuable enough (even if not as valuable as in the primary GPT market) to generate a positive-feedback cycle that results in considerable technical advance in the alternative GPT. This ultimately can lead to indirect entry by the alternative GPT into the original GPT market if and when it becomes strong enough to compete with the original GPT. This sequence of (i) increasing returns to scale around a GPT, (ii) reallocation of innovative resources around growth bottlenecks, and (iii) indirect entry has growth implications. A large contribution to growth follows the exploitation of increasing returns to scale in the original GPT. Much later, another large contribution to growth follows when demand is finally met by an alternative, competitive GPT. Between these two periods falls a period of lesser contributions to growth due to the dominant firm bottleneck. The market-based resolution of the bottleneck is not merely a theoretical possibility. We illustrate the role of this sequence in the two most important technologies for automating white-collar work of the past 50 years.
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spelling mit-1721.1/677082022-10-02T08:31:06Z Reallocating innovative resources around growth bottlenecks Bresnahan, Timothy Yin, Pai-Ling Sloan School of Management Yin, Pai-Ling Yin, Pai-Ling Economy-wide increasing returns to scale embodied in a general purpose technology (GPT) and its applications are often a key source of long-run growth. Yet the successful exploitation of increasing returns calls for coordination on a particular technological direction, reducing flexibility and choice ex post and potentially creating a growth bottleneck. When the bottleneck is controlled by a single firm, the resulting entry barriers reduce the ability of demanders to choose superior, alternative technologies. We examine how such a growth bottleneck can eventually be overcome under certain key conditions. Demand must be fundamentally diverse so that the original GPT does not serve all demanders. Firms barred from entry into the primary GPT market can then reallocate innovative resources to create new markets to meet the unserved demand. The demand in these new markets must be valuable enough (even if not as valuable as in the primary GPT market) to generate a positive-feedback cycle that results in considerable technical advance in the alternative GPT. This ultimately can lead to indirect entry by the alternative GPT into the original GPT market if and when it becomes strong enough to compete with the original GPT. This sequence of (i) increasing returns to scale around a GPT, (ii) reallocation of innovative resources around growth bottlenecks, and (iii) indirect entry has growth implications. A large contribution to growth follows the exploitation of increasing returns to scale in the original GPT. Much later, another large contribution to growth follows when demand is finally met by an alternative, competitive GPT. Between these two periods falls a period of lesser contributions to growth due to the dominant firm bottleneck. The market-based resolution of the bottleneck is not merely a theoretical possibility. We illustrate the role of this sequence in the two most important technologies for automating white-collar work of the past 50 years. 2011-12-16T19:42:36Z 2011-12-16T19:42:36Z 2010-09 Article http://purl.org/eprint/type/JournalArticle 1464-3650 0960-6491 http://hdl.handle.net/1721.1/67708 Bresnahan, T., and P.-L. Yin. “Reallocating innovative resources around growth bottlenecks.” Industrial and Corporate Change 19 (2010): 1589-1627. Web. 16 Dec. 2011. en_US http://dx.doi.org/10.1093/icc/dtq048 Industrial and Corporate Change Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Oxford University Press Yin via Alex Caracuzzo
spellingShingle Bresnahan, Timothy
Yin, Pai-Ling
Reallocating innovative resources around growth bottlenecks
title Reallocating innovative resources around growth bottlenecks
title_full Reallocating innovative resources around growth bottlenecks
title_fullStr Reallocating innovative resources around growth bottlenecks
title_full_unstemmed Reallocating innovative resources around growth bottlenecks
title_short Reallocating innovative resources around growth bottlenecks
title_sort reallocating innovative resources around growth bottlenecks
url http://hdl.handle.net/1721.1/67708
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