Relatedness, Complexity, and Economic Growth in Chinese Cities

IF 1.8 3区经济学 Q3 ENVIRONMENTAL STUDIES

International Regional Science Review Pub Date : 2022-05-05 DOI:10.1177/01600176221082308

Yingcheng Li, D. Rigby

引用次数: 10

Abstract

Innovation is generally regarded as critical to long-run economic growth. Recent work, at different spatial scales, suggests economies that develop more complex technologies that are related to their existing knowledge stocks enjoy a growth premium. Thus, “smarter” forms of innovation may accelerate growth. These claims are examined using Chinese patent data distributed across 286 cities over the period 1991–2015. Fixed-effects panel models report that city-level GDP growth in China has a significant and positive relationship with diversification into more related and complex technologies, after controlling for the overall pace of innovation and other covariates. Robustness checks focusing on spatial autocorrelation and endogeneity affirm the core findings.

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中国城市的关联性、复杂性与经济增长

创新通常被认为是长期经济增长的关键。最近在不同空间尺度上的研究表明，开发与其现有知识储备相关的更复杂技术的经济体享有增长溢价。因此，“更聪明”的创新形式可能会加速增长。这些权利要求使用分布在1991年至2015年期间286个城市的中国专利数据进行了检查。固定效应面板模型显示，在控制了整体创新速度和其他协变量后，中国城市层面的GDP增长与向更相关和更复杂的技术多元化具有显著的正相关关系。鲁棒性检查侧重于空间自相关和内生性确认核心发现。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Regional Science Review Multiple-

CiteScore

4.50

自引率

13.00%

发文量

期刊介绍： International Regional Science Review serves as an international forum for economists, geographers, planners, and other social scientists to share important research findings and methodological breakthroughs. The journal serves as a catalyst for improving spatial and regional analysis within the social sciences and stimulating communication among the disciplines. IRSR deliberately helps define regional science by publishing key interdisciplinary survey articles that summarize and evaluate previous research and identify fruitful research directions. Focusing on issues of theory, method, and public policy where the spatial or regional dimension is central, IRSR strives to promote useful scholarly research that is securely tied to the real world.