Population geography in China since the 1980s: Forging the links between population studies and human geography

Yun, Zhu; Ding, Jieying; Wang, Guixin; Shen, Jianfa; Lin, Lu; Ke, Wenqian

doi:10.1007/s11442-016-1319-7

Cited by 13 publications

(8 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This suggests that the factors affecting migration tend to be diversified and require a more comprehensive identification. Except to the macro factors involved in this paper, population migration is also affected by the natural conditions and cultural characteristics of the origin and destination, as well as the age, gender, education level, social network, family and community characteristics of the migrants [22]. At present, the purpose of migration has changed from simply seeking well-paid occupation to diversifying purposes, such as enjoying urban public services, experiencing urban life, and seeking opportunities for development [25].…”

Section: Discussionmentioning

confidence: 99%

Spatio-Temporal Patterns and Determinants of Inter-Provincial Migration in China 1995–2015

Yang

Zhang

et al. 2018

Sustainability

View full text Add to dashboard Cite

Inter-provincial migration causes dramatic changes in the population, as well as in the development of the social economy at both origin and destination, which is related to sustainable development in any country. Using inter-provincial migration data during the periods covering 1995–2000, 2000–2005, 2005–2010, and 2010–2015, we analyze the migration volume, intensity and flow, as well as its changes over time. We also examine the determinants associated with migration by applying Poisson pseudo-maximum-likelihood (PPML) estimation techniques. The results show that migrants move mainly from inland to coastal areas; however, since 2010, the number of migrants moving from coastal to inland areas has shown a continuous increase. This inter-provincial migration was driven largely by the influence of economic factors, such as high urban income per capita. A better model for the period of 2010–2015 is established by adopting an extended set of variables. New variables that represent regional disparities and industrial upgrades have a positive impact on inter-provincial migration, which shows that regional economic disparities and economic restructuring have played an important role in migration in recent years.

show abstract

Section: Discussionmentioning

confidence: 99%

Spatio-Temporal Patterns and Determinants of Inter-Provincial Migration in China 1995–2015

Yang

Zhang

et al. 2018

Sustainability

View full text Add to dashboard Cite

show abstract

“…Following the rise in rural–urban migration, a large literature has developed focusing on five main topics of research: spatial patterns of migration (Shen, ), determinants of migration (Hare, ; Liu & Shen, ), links between migration and regional development (Fan, ; Liang, Por Chen, & Gu, ; Liu, Stillwell, Shen, & Daras, ; Sun & Fan, ), the settlement intentions of the floating population and migrants' social integration in cities (Zhu, , ; Zhu & Chen, ), and the impact of migration on those left behind, particularly children and the elderly (Chang, Dong, & MacPhail, ; Ye & Lu, ). For a systematic review of the literature published in Chinese and English since the 1980s on migration in China, readers can refer to Zhu et al (). The increasing availability of migration data has been instrumental in the development of migration research in China, particularly census data (1982, 1990, 2000, and 2010) and the 1% population sample surveys (1987, 1995, 2005, and 2015).…”

Section: Internal Migration In China: a Review Of Long‐term Trendsmentioning

confidence: 99%

Migration in China: A cohort approach to understanding past and future trends

Bernard

Bell

Yun

2019

Population Space and Place

Self Cite

View full text Add to dashboard Cite

Internal migration trends in China are well documented, but existing studies rely almost exclusively on period measures applied to cross-sectional data. To examine long-term trends, this paper adopts a cohort perspective and analyses migration levels and patterns and reasons for moving for cohorts born between 1935 and 1974. It applies a series of newly developed cohort measures to nationally representative migration histories retrospectively collected as part of the China Health and Retirement Longitudinal Study in 2014. It then develops cohort projections of migration from birth to age 60 for cohorts born between 1955 and 1994. The results show modest but rising levels of migration underpinned by a reduction in lifetime immobility and a rise in repeat movement, largely caused by an upswing in employmentrelated moves and return migration. Cohort analysis reveals more stable trends than period measures, while showing significant sex differentials that have persisted across successive cohorts.

show abstract

“…Different From the strict control of population migration by the household registration system before the 1980s, the large-scale urban and rural population migration has become a prominent phenomenon in China's social and economic transformation during the Reform and Opening-up period. 1 The rapid process of urbanization makes hundreds of millions of rural residents in China move to large and medium-sized cities and towns, which is perhaps the largest migration scale in human history. 2 Data from the National Bureau of Statistics shows that in 2018, the Chinese mainland had 831.37 million permanent urban residents, accounting for 59.58% of the total population.…”

Section: Introductionmentioning

confidence: 99%

Environmental pollution and population distribution among districts and counties: Evidence from prefecture-level cities in China

Wang

Yang

Chen

et al. 2021

Energy & Environment

View full text Add to dashboard Cite

China's unprecedented urbanization has come at the cost of environmental degradation, which increasingly appears to be holding back migration to bustling municipal districts. Escaping from Beijing, Shanghai and Guangzhou has become a hot topic in recent years. But in fact, small and medium-sized cities also show signs of population decentralization. The aim of this paper is to reveal the impact of environmental pollution on the decentralization of urban population in China. Based on the panel data of over 227 prefecture-level cities and municipalities directly under the central government, the sensitivity of municipal population to PM2.5 concentration was empirically studied. The results showed that PM2.5 concentrations generally had the effect of driving away the population of municipal districts, but this was most pronounced in first-tier and fourth-tier cities rather than second-tier and third-tier cities. The panel quantile estimates further confirm this finding that megacities and small and micro cities rather than small and medium-sized cities are more vulnerable to environmental pollution, which is a reminder that Chinese policymakers must not focus on the environmental problems of megacities alone, but must prevent environmental degradation from hollowing out the population of small cities and towns.

show abstract

Population geography in China since the 1980s: Forging the links between population studies and human geography

Cited by 13 publications

References 30 publications

Spatio-Temporal Patterns and Determinants of Inter-Provincial Migration in China 1995–2015

Spatio-Temporal Patterns and Determinants of Inter-Provincial Migration in China 1995–2015

Migration in China: A cohort approach to understanding past and future trends

Environmental pollution and population distribution among districts and counties: Evidence from prefecture-level cities in China

Contact Info

Product

Resources

About