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Unveiling various spatial patterns of determinants of hukou transfer intentions in China: A multi‐scale geographically weighted regression approach
Author(s) -
Lao Xin,
Gu Hengyu
Publication year - 2020
Publication title -
growth and change
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.657
H-Index - 55
eISSN - 1468-2257
pISSN - 0017-4815
DOI - 10.1111/grow.12429
Subject(s) - floating population , residence , geography , china , demographic economics , wage , population , scale (ratio) , economic geography , spatial ecology , settlement (finance) , regression analysis , socioeconomics , demography , economics , labour economics , cartography , statistics , sociology , ecology , mathematics , archaeology , biology , finance , payment
Abstract As the floating population has become a vital issue influencing China's economic and social development and aroused broad concern, many scholars have paid attention to the factors that influence settlement intentions of the floating population, while their spatial differences are usually neglected in extant studies. To rectify this situation, this study employs a multi‐scale geographically weighted regression model to investigate the spatial pattern of determinants on hukou transfer intentions of the floating population, based on the data of the China Migrants Dynamic Survey in 2016. The results demonstrate that the effects of various determinants present different spatial patterns: part of significance pattern (the average residence time in destination cities, the ratio of rural hukou holders, the number of flows, the ratio of family income to family expenditure, the geographical location), the “East‐West” pattern (the ratio of self‐employed migrants, the average wage of employed workers), the “Southwest‐Northeast” pattern (the ratio of migrants in the secondary industry, the ratio of sharing town employees' social insurance, the ratio of floating population accompanied by children in destination cities, and the population density of municipal districts). Cities of different conditions should formulate different policies that are sensitive to their contexts.