Perilous Evolutionary Paths of Industrial Policy in a Developmental Context: Evidence from the Chinese Medical Industry

Author:

Zhang Wei1ORCID,He Canfei1ORCID

Affiliation:

1. College of Urban and Environmental Sciences Peking University Beijing 100871 China

Abstract

AbstractIndustrial policy, as one of the most potent weapons employed by governments, is recommended to adhere to the principles of high relatedness and high economic complexity, which can minimize risks and maximize returns. However, this approach may not be optimal in developing countries with poor industrial bases, limited innovative capabilities and weak institutional frameworks. Based on relatedness and economic complexity, this study illustrates the evolution paths of industrial policy in China and identifies underlying influencing factors deciding the patterns of policymaking. Different from developed countries, it takes several steps for developing countries to reach the final target, the smart specialization approach, instead of one‐step jumping. Moreover, industrial policy is not always the panacea, and the effects of industrial policy vary depending on local contexts. In sum, this study extends research towards the complex co‐evolution process of policy and industries in developing countries and provides more insights for policymaking.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Reference74 articles.

1. Altenburg T.(2011) Industrial Policy in Developing Countries: Overview and Lessons from Seven Country Cases. Discussion Paper.

2. Going beyond Relatedness: Regional Diversification Trajectories and Key Enabling Technologies (KETs) in Italian Regions

3. Self‐Reinforcing Mechanisms in Economics;Arthur W.B.;The Economy as an Evolving Complex System,1988

4. Competing Technologies, Increasing Returns, and Lock-In by Historical Events

5. Complementary interregional linkages and Smart Specialisation: an empirical study on European regions

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