How are decisions made to move to China? An analysis of information and migration via Google Trends

International migration affects the socio-economic and spatial development of a country. However, mainly due to data limitations, less attention has been given to the specific group of expatriates in China. Specifically, academia does not have a clear understanding of the factors that influence expatriates’ migration to China, and it is unable to predict the size of the expatriate population correctly and accurately. To address these issues, in this study, we used the keyword search index related to “China” on the Google Trends search engine to reflect the mobility intentions, information, and aspirations of the expatriate population based on the migration theory from a psychological perspective and compared the index with the actual number of expatriates according to China’s Seventh Census data. Correlation and regression analyses were performed to reveal the interaction between expatriates’ migration intentions and migration behaviors. This study demonstrates that the information collection of China’s political situation is the primary factor indicating the expatriate population to China, whereas factors such as travel and climate can further predict expatriates’ decision to move to China. In addition, the study demonstrates that Google Trends data can be used as an effective data source for studying expatriate population relocation in China. This paper can provide a reference for formulating many policies in China, such as economic and trade policies, population policies, and social integration policies.

Authors

Institutions

Publication Details

Journal
Transactions in Planning and Urban Research
Published
2025-09-21
DOI
https://doi.org/10.1177/27541223251367866
Primary Topic
Migration and Labor Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How are decisions made to move to China? An analysis of information and migration via Google Trends

Yue Gong, Xinlei Wang, Yu Le
Transactions in Planning and Urban Research
Migration and Labor Dynamics
article

How are decisions made to move to China? An analysis of information and migration via Google Trends

Yue Gong, Xinlei Wang, Yu Le
article en

Abstract

International migration affects the socio-economic and spatial development of a country. However, mainly due to data limitations, less attention has been given to the specific group of expatriates in China. Specifically, academia does not have a clear understanding of the factors that influence expatriates’ migration to China, and it is unable to predict the size of the expatriate population correctly and accurately. To address these issues, in this study, we used the keyword search index related to “China” on the Google Trends search engine to reflect the mobility intentions, information, and aspirations of the expatriate population based on the migration theory from a psychological perspective and compared the index with the actual number of expatriates according to China’s Seventh Census data. Correlation and regression analyses were performed to reveal the interaction between expatriates’ migration intentions and migration behaviors. This study demonstrates that the information collection of China’s political situation is the primary factor indicating the expatriate population to China, whereas factors such as travel and climate can further predict expatriates’ decision to move to China. In addition, the study demonstrates that Google Trends data can be used as an effective data source for studying expatriate population relocation in China. This paper can provide a reference for formulating many policies in China, such as economic and trade policies, population policies, and social integration policies.

Transactions in Planning and Urban ResearchVol. 4(3-4)
Wuhan University (CN), Guangdong Urban & Rural Planning and Design Institute (CN)
Openalex Percentile: Top 66%
Migration and Labor Dynamics
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.

How are decisions made to move to China? An analysis of information and migration via Google Trends — Yue Gong, Xinlei Wang, et al. · Transactions in Planning and Urban Research (2025) | TGRS Research Map | TGRS