Relatedness, Complexity and Regional Employment Growth in China——A Smart Professional Analysis Framework

Abstract

Abstract: Recently, Hidalgo has created a theoretical analysis framework of “smart specialization”, which aims to solve the “diversification dilemma” in the development of a country or a region-This paper, based on the employment data from the 1990, 2000 and 2010 national censuses, further expands the relativity and complexity measurement method of the theory, and embeds it into the analytical framework of “smart specialization”, and explores the contribution of relativity and complexity to regional employment growthResults find that more complex economic activities lead to faster economic growth, and in the process of diversified economic activities combination, the diffusion rate of complex economic activities in complex regions is faster, and there are differences in potential smart specialization opportunities between eastern and central and western regions-The eastern region has more opportunities than the central and western regions

摘要： 本文基于1990年、2000年和2010年全国人口普查中30个省份16个行业、66种职业的就业数据,通过本地就业份额的加权相关性,对原理论的关联度和复杂性测度方法做进一步拓展,并将其嵌入“精明专业化”分析框架中,探讨经济活动关联度和复杂性对中国区域就业增长的影响。研究结果发现,中西部地区潜在的增长机会高于东部地区,但实现的风险很高,而东部地区具有更多的“精明专业化”发展机会;经济活动的关联程度越高,地区的就业增长越快;经济活动关联度和复杂性对就业的强且正向效应显著存在于本地表征不足和复杂区域的经济活动中。

关键词: 关联度, 复杂性, 就业增长, 显示性比较优势, 精明专业化

CLC Number:

F061.1

CUI Zhaocai, ZHOU Xianghong, WANG Li. Relatedness, Complexity and Regional Employment Growth in China——A Smart Professional Analysis Framework[J]. , 2020, 36(5): 3-11.

崔兆财, 周向红, 王俐. 经济活动关联度、复杂性与地区就业增长——一个精明专业化的分析框架[J]. 财经论丛, 2020, 36(5): 3-11.

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Relatedness, Complexity and Regional Employment Growth in China
——A Smart Professional Analysis Framework
CUI Zhaocai, ZHOU Xianghong, WANG Li
(School of Economics and Management, Tongji University, Shanghai 200092, China) Abstract: Recently, Hidalgo has created a theoretical analysis framework of “smart specialization”, which aims to solve the “diversification dilemma” in the development of a country or a region.This paper, based on the employment data from the 1990, 2000 and 2010 national censuses, further expands the relativity and complexity measurement method of the theory, and embeds it into the analytical framework of “smart specialization”, and explores the contribution of relativity and complexity to regional employment growth.Results find that more complex economic activities lead to faster economic growth, and in the process of diversified economic activities combination, the diffusion rate of complex economic activities in complex regions is faster, and there are differences in potential smart specialization opportunities between eastern and central and western regions.The eastern region has more opportunities than the central and western regions.