Growth Through Inter-sectoral Knowledge Linkages

Author:

Cai Jie1,Li Nan2

Affiliation:

1. Shanghai University of Finance and Economics

2. International Monetary Fund

Abstract

Abstract The majority of innovations are developed by multi-sector firms. The knowledge needed to invent new products is more easily adapted from some sectors than from others. We study this network of knowledge linkages between sectors and its impact on firm innovation and aggregate growth. We first document a set of sectoral-level and firm-level observations on knowledge applicability and firms’ multi-sector patenting behaviour. We then develop a general equilibrium model of firm innovation in which inter-sectoral knowledge linkages determine the set of sectors a firm chooses to innovate in and how much R&D to invest in each sector. It captures how firms evolve in the technology space, accounts for cross-sector differences in R&D intensity, and describes an aggregate model of technological change. The model matches new observations as demonstrated by simulation. It also yields new insights regarding the mechanism through which sectoral fixed costs of R&D affect growth.

Publisher

Oxford University Press (OUP)

Subject

Economics and Econometrics

Reference73 articles.

1. Innovation by Entrants and Incumbents;ACEMOGLU;Journal of Economic Theory,2015

2. The Network Origins of Aggregate Fluctuations;ACEMOGLU;Econometrica,2012

3. A Model of Growth Through Creative Destruction;AGHION;Econometrica,1992

4. Buy, Keep, or Sell: Economic Growth and the Market for Ideas;AKCIGIT;Econometrica,2016

5. Back to Basics: Basic Research Spillovers, Innovation Policy and Growth;AKCIGIT;National Bureau of Economic Research Working Paper 19473,2013

Cited by 24 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Entropy, heterogeneity, and their impact on technology progress;Journal of Informetrics;2024-05

2. Uneven Firm Growth in a Globalized World;SSRN Electronic Journal;2024

3. Dynamic Big Push;SSRN Electronic Journal;2024

4. Innovation Networks in the Industrial Revolution;SSRN Electronic Journal;2024

5. Trade and diffusion of embodied technology: an empirical analysis;Journal of Monetary Economics;2023-07

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3