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At present, the scale of China's floating population has reached 376 million people. Compared with the local inhabitants, the poverty problem of the floating population is more complex, and this problem should also attract the attention of all sectors of society. This paper aims to measure and analyze the multidimensional poverty of the floating population in China.

The data used in this paper are the data of the China Migrants Dynamic Survey (CMDS) in China. This survey is a large-scale national migratory population sampling survey organized by the China National Health Commission, covering 31 provinces (autonomous regions and cities) and other autonomous regions. This paper uses the dynamic monitoring and Alkire and Foster (A-F) method to study the multidimensional poverty problem of the floating population.

This study finds that income poverty is no longer the main type of poverty faced by the floating population. The multidimensional poverty of the floating population mainly occurs in the social security and education dimensions, of which social security has become the most severe poverty dimension of the floating population. From the perspective of group differences, compared with the floating population in urban areas, the multidimensional poverty of migrant workers is more serious. However, the poverty of migrant workers is mainly concentrated in one-dimensional poverty and two-dimensional poverty.

In the future, the authors should focus on the social security of the floating population in the place of influx and the education of the floating population.

Through the review of the existing literature, the authors find that the current research on the multidimensional poverty of the floating population is mainly concentrated on the migrant worker groups that move from rural areas to urban areas. However, insufficient attention is paid to the urban floating population groups moving between cities.

The rate of urbanization and its implications in post‐Mao China have been underestimated in most recent studies on China’s urbanization as they have excluded the rising urban floating population. Making use of recently available floating population survey data assesses the significance of China’s urban floating population and its socio‐economic consequences and suggests remedial measures to control its flow. Finds that the floating population caused China to experience one of the highest urban population growths among the developing countries. The floating population has increased rural‐urban labour mobility and helped to eliminate the dualistic nature of Chinese society. But it has also caused oveer‐urbanization and environmental pollution and created certain social problems. To control the flow of the urban floating population, argues that the government should increasingly rely on indirect market‐based control mechanisms.

This proposal represents four main advantages: the immediate availability of the relevant information to the local manager; its potential application to any municipality regardless of its size; its reduced economic cost both in terms of information and calculation; and the possibility of obtaining information for very short periods (monthly or even daily) which is very important in areas where the population varies significantly throughout the year.

The authors present an indirect estimation method based on extrapolating the equivalent tourist population from the monthly variations in the production of solid urban waste.

It would also be desirable to compare the estimates made by using other indirect indicators such as electricity or water consumption, which could also provide relevant information on the degree of use of second homes.

These advantages turn this indicator into a practical and accessible estimation tool, which can be directly applied to the planning and management of all types of services and facilities provided by municipalities.

The purpose of this paper, starting from a theoretical framework, is to analyze the spillover effects of human capital brought by labor mobility and their influence on the public education investment.

Based on the endogenous growth theory, the paper establishes a regional human capital spillover model to examine the spillover effects of human capital coming along with the regional labor mobility and the changes of public education investment decision brought by the spillover effects in China.

It has been found that the regional mobility of labor has made the developed areas gain the spillover benefits of human capital investment from the underdeveloped areas with their superiority of social and economic environment and restrained the incentives for public education investment in the underdeveloped areas, thus the different areas walk on a different growth path, with the expansion of the difference in the economic and education investment growth.

This paper analyzes the possible influences from the spillover of human capital on the economic growth and educational investment and finds a high possibility for the underdeveloped areas to get into a “low development trap” of education investment. The key to solving the problem is to internalize the externalities by the active public policy, in order to realize equal education, rational investment and balanced development.

Our primary aim is to discuss the variability that exists in the operationalization of race/ethnicity in research on genetic and biological markers. We employ Stuart Hall’s “floating signifiers” of race approach to explain the ambiguous manner in which researchers discuss the links between race and genetics.

We examine articles that use race/ethnicity and genetic or biological markers between 2000 and 2013 within three prominent genetic journals. We focused on original, empirical articles only. We utilize various race/ethnic-related search terms to obtain our sample and to categorize how terms were used.

A total of 336 articles fit our search criteria. The number of articles mentioning race/ethnicity and genetic or biological information increased over the time. A significant percentage of publications base their research on whites only. When discussions of race are included in studies, scientists often use multiple categories of race/ethnicity without much explanation.

We omit non-research articles and commentary for each journal, which could contain important discussions regarding race and genetics. This work highlights how race/ethnicity can vary in application and interpretation.

Our discussion of race/ethnicity as “floating signifiers” adds a layer of complexity to the longstanding debate regarding the importance of race/ethnicity in genetic research. The “floating” nature of race/ethnicity underlines how subjective the characterizations of samples are and how possible interpretations of results for groups can impact health disparities research. Given the increased use of genetic data by social scientists, there is a need for more cross-disciplinary discussions on the race–gene relationship.

The purpose of this paper is to determine whether the various types of negative impacts have an effect on the general attitude toward tourism and the difficulty for the enjoyment of public spaces.

It is a quantitative study that analyzes the causal relationships between variables through structural equation models. This study uses data from a sample of 420 residents from Maldonado and Punta del Este.

The result obtained shows that only the cultural loss is significant to explain the residents’ attitudes. On the other hand, the cultural loss, the environmental deterioration and the saturation are significant to explain the difficulties for the enjoyment of public spaces.

The main limitations are the fact of performing the analysis in a specific destination with peculiarities that may affect the results and the representativeness of the sample used.

The enjoyment of public spaces is a good indicator of the perception of negative impacts, so managers of urban tourist destinations can use this element as an indicator of quick consultation on residents’ attitudes.

It is a study that focuses on the negative impacts of tourism and its effect on the public spaces. The importance of public spaces in tourist destinations is under studied.

Projecting the population distribution in geographical regions is important for many applications such as launching marketing campaigns or enhancing the public safety in certain densely populated areas. Conventional studies require the collection of people’s trajectory data through offline means, which is limited in terms of cost and data availability. The wide use of online social network (OSN) apps over smartphones has provided the opportunities of devising a lightweight approach of conducting the study using the online data of smartphone apps. This paper aims to reveal the relationship between the online social networks and the offline communities, as well as to project the population distribution by modeling geo-homophily in the online social networks.

In this paper, the authors propose the concept of geo-homophily in OSNs to determine how much the data of an OSN can help project the population distribution in a given division of geographical regions. Specifically, the authors establish a three-layered theoretic framework that first maps the online message diffusion among friends in the OSN to the offline population distribution over a given division of regions via a Dirichlet process and then projects the floating population across the regions.

By experiments over large-scale OSN data sets, the authors show that the proposed prediction models have a high prediction accuracy in characterizing the process of how the population distribution forms and how the floating population changes over time.

This paper tries to project population distribution by modeling geo-homophily in OSNs.

At the end of the 1970s, the Chinese government enacted the one-child policy; now the one-child successively enters into the labor market and reaches the age for marriage and childbirth. The floating population group of China’s interior regions also experiences the heterogeneity changes. The purpose of this paper is to analyses the reasons for the difference of family migration between one-child and non-only child using the binary logit regression model – from the three aspects of individual characteristics, family endowment and institutional factors were investigated.

Family migration or individual migration of the floating population is the dichotomous dependent variable and therefore the binomial logistic regression analysis model is selected.

It is found that the tendency of one-child family migration is significantly higher than that of non-only child. The main reason is that the one-child has obvious advantages in terms of individual characteristics, family endowment and institutional factors.

The previous researches on family migration: first, the previous researches mainly analyzed the impact of the human capital and family income on the family migration from the perspective of economics and neglected the discussion on the family structure, life cycle, family level factors and Hukou’s limitation; second, most researches considered the migration as a whole. In fact, the migration population is no longer a highly homogeneous group and gradually become diversified.

Examines China’s population movement since the 1980s. The analysis tackles two types of migration: permanent with corresponding transfers of the household registration, and temporary without such transfers. The study finds that, while the reform has brought about a proliferation of temporary migrants, numbers of permanent migrants have been rather stable. Of temporary migrants, an increasing proportion has been made up by urban residents. Temporary migrants as a whole are more likely to conduct inter‐provincial migration than their permanent counterparts. Coastal provinces and a few northwest provinces have been the favored destinations for temporary migrants. Cities, especially large cities, are preferred by both permanent and temporary migrants. The attraction of towns has been weak and tended to decline. The findings suggest that the reform has not led to a significant change in the formality of permanent migration. The large‐city oriented flow of the overall migration has been contrary to the state urbanization strategy which prioritizes the development of small cities and towns.

The purpose of this paper is to evaluate the economic impacts of China’s hukou system and propose the possible direction for future reform.

The study develops a framework to incorporate the hukou system into the economic growth model. Using prefecture city-level panel data covering 241 cities over the period 2004–2016 and applying the fixed effects and instrumental variable regression techniques, the authors investigated empirically the impacts of the hukou system on city economic growth.

The study provides three main findings. First, the city sector conditionally benefits from labour mobility deregulation that allows migrants to work in cities. Second, the hukou system has different impacts on economic growth among cities with different sizes and administrative levels. Third, to offset the costs of providing exclusive public services to the migrants, the big or high-administrative-level cities can use their high-valued hukou to attract the high-skilled migrants, but the small- or low-administrative-level cities do not have this advantage.

This study suggests that the key for further hukou system reform is how to deal with the hukou–welfare binding relationship.

The authors developed a theoretical framework and conducted an empirical analysis on the direct relationship between the hukou system and economic growth to reveal the mechanism of how does the hukou system influence the city economic growth and answer the question of why is the hukou system reform so hard in China. The framework also sheds some lights on explaining the success and failure of the hukou system reforms in the past 40 years.