The Relationship Exploration between Public Migration Attention and Population Migration from a Perspective of Search Query

Chun Li, Jianhua He and Xingwu Duan
Additional contact information
Chun Li: Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650091, Yunnan, China
Jianhua He: School of Resources and Environment Science, Wuhan University, Wuhan 430079, Hubei, China
Xingwu Duan: Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650091, Yunnan, China

IJERPH, 2020, vol. 17, issue 7, 1-18

Abstract: Rapid population migration has been viewed as a critical factor impacting urban network construction and regional sustainable development. The supervision and analysis of population migration are necessary for guiding the optimal allocation of urban resources and for attaining the high efficiency development of region. Currently, the explorations of population migration are often restricted by the limitation of data. In the information era, search engines widely collect public attention, implying potential individual actions, and freely provide open, timelier, and large-scope search query data for helping explore regional phenomena and problems. In this paper, we endeavor to explore the possibility of adopting such data to depict population migration. Based on the search query from Baidu search engine, three migration attention indexes (MAIs) are constructed to capture public migration attention in cyber space. Taking three major urban agglomerations in China as case study, we conduct the correlation analysis among the cyber MAIs and population migration in geographical space. Results have shown that external-MAI and local-MAI can positively reflect the population migration inner regions and across regions from a holistic lens and that intercity-MAI can be a helpful supplement for the delineation of specific population flow. Along with the accumulation of cyber search query data, its potential in exploring population migration can be further reinforced.

Keywords: population migration; search query; Baidu Index; urban agglomeration (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1660-4601/17/7/2388/pdf (application/pdf)
https://www.mdpi.com/1660-4601/17/7/2388/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:17:y:2020:i:7:p:2388-:d:339648

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().