生产力
中国
竞赛(生物学)
面板数据
资源(消歧)
经济地理学
产业组织
业务
星团(航天器)
商业集群
经济
计量经济学
机制(生物学)
地理
生态学
经济增长
计算机网络
哲学
考古
认识论
计算机科学
生物
程序设计语言
作者
Di Guo,Kun Jiang,Chenggang Xu,Xin Yang
出处
期刊:Research Policy
[Elsevier]
日期:2023-03-01
卷期号:52 (2): 104691-104691
被引量:4
标识
DOI:10.1016/j.respol.2022.104691
摘要
We link industrial clusters, regional productivity and resource reallocation efficiency with geographical and sectoral disaggregated data. Based on a county-industry level panel from 1998 to 2007 in China, we find that industrial clusters significantly increase local industries' productivity by lifting the average firm productivity and reallocating resources from less to more productive firms. Moreover, we find major mechanisms through which resource reallocation is improved within clusters: (i) clusters are associated with a higher firm turnover with increased entry and exit rates simultaneously; and (ii) within clusters' environment, the dispersion of individual firm's markup is significantly reduced, indicating intensified local competition within clusters. Such results suggest that industrial clusters in China help improve regional productivity and resource allocation efficiency with intensified competition and accelerated firm dynamics. The identification issues are carefully addressed by two-stage estimations with instrumental variables and other robustness checks.
科研通智能强力驱动
Strongly Powered by AbleSci AI