Self‐Relatedness or Cross‐Relatedness: The Co‐Evolution of Industries and Occupations Among Chinese Cities

Abstract Existing research on regional diversification primarily focuses on relatedness within industries or occupations, whilst neglecting the cross‐effects between the two. This study first formalizes the concepts of self‐ and cross‐relatedness and then establishes a two‐layer network framework to approach the interaction between industries and occupations. Then, based on China's export and occupation data, both occupation and industry are incorporated as the endogenous factors in explaining regional diversification among 264 prefectural‐level cities in China. The empirical evidence suggests that both self‐ and cross‐relatedness are significantly associated with new regional specializations in the co‐evolution of industries and occupations. More importantly, the roles of self‐relatedness are more significant in small‐sized cities, while the association between cross‐relatedness and industry–occupation co‐evolution is more prominent in large cities.

Authors

Institutions

Publication Details

Journal
Tijdschrift voor Economische en Sociale Geografie
Published
2024-12-11
DOI
https://doi.org/10.1111/tesg.12662
Citations
8
Primary Topic
Regional Economics and Spatial Analysis
Type
article
Field-Weighted Citation Impact
9.03

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Self‐Relatedness or Cross‐Relatedness: The Co‐Evolution of Industries and Occupations Among Chinese Cities

Rongjun Ao, Xiaoqi Zhou, Xiaojing Li, Jing Chen
8 citations
Tijdschrift voor Economische en Sociale Geografie
Regional Economics and Spatial Analysis
9.03
article

Self‐Relatedness or Cross‐Relatedness: The Co‐Evolution of Industries and Occupations Among Chinese Cities

Rongjun Ao, Xiaoqi Zhou, Xiaojing Li, Jing Chen
article en
8 citations

Abstract

Abstract Existing research on regional diversification primarily focuses on relatedness within industries or occupations, whilst neglecting the cross‐effects between the two. This study first formalizes the concepts of self‐ and cross‐relatedness and then establishes a two‐layer network framework to approach the interaction between industries and occupations. Then, based on China's export and occupation data, both occupation and industry are incorporated as the endogenous factors in explaining regional diversification among 264 prefectural‐level cities in China. The empirical evidence suggests that both self‐ and cross‐relatedness are significantly associated with new regional specializations in the co‐evolution of industries and occupations. More importantly, the roles of self‐relatedness are more significant in small‐sized cities, while the association between cross‐relatedness and industry–occupation co‐evolution is more prominent in large cities.

Tijdschrift voor Economische en Sociale GeografieVol. 116(1)
Central China Normal University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 3%
Regional Economics and Spatial Analysis
9.03
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.