This journal is one of the earliest journals on population science in China. It is issued worldwide and indexed by CSSCI, and it is listed as the national Chinese core periodicaland the core periodical on population science.
Editor-in-Chief Yu Xiao
Deputy Editor-in-Chief Wang Xiaofeng, Wang Huabo
Editorial Board Wang Guangzhou, Wang Jinying, Yi Hao, Tian Yipeng, Sun Changzhi, Zhu Yu, Zhang Shiwei, Qiu Hong, Lu Jiehua, Chen Yingzi, Li Shuzhuo, Fan Lida, Yang Chenggang, Yang
Housing problem has been one of the important economic,social and livelihood issues for youth. Based on the data of 2009 National Urban Youth Survey, ANOVA and multi-nomial logistic regression are used to analyze housing sources and its determinants of urban youth from the perspective of only-child property, floating features and marriage status. It turns out that housing stratification exists among the urban youth. Compared with their counterparts who have siblings, only-children are more likely to purchase houses, but mostly with the aid of their parents. The floating status of youth may lessen the probability of purchasing houses, and make youth more likely to rent houses. The first marriage will dramatically increase the probability of purchasing houses for the youth, and childbearing will increase the probability of purchasing houses for non-only-children. Besides, family and personal characteristics also have significant effects on housing sources of youth. Solving the housing problem of youth will contribute to reducing the social differentiation and promoting the social stability.
With the economic transformation and education expansion, the labor force participation rate in China has declined continuously. The decline of labor force participation rate implies the shrinkage of working years or working life expectancy. Referring to the population census data, the paper constructs the working life table of 2000 and 2010 and analyzes the change of labor force participation rate and working life expectancy. It turns out that the working life expectancy at age 0 are 39.5 in 2000 and 38.1 in 2010, and the working life expectancy at age 15 are 40.8 in 2000 and 38.9 in 2010. According to the working life table by sex, the male working life expectancy is more than 40 years, while the female working life expectancy is less than 40 years; and the male working life expectancy is 6 years (and over) more than the female working life expectancy. The result also presents the fact that the decline of working life is offset by the decline of the death rate.
Based on the data from the Sixth National Population Census and other socioeconomic data of Fujian Province, this paper analyzes the differences in the spatial distribution and its influencing factors between inter-provincial and intra-provincial floating population at the spatial level of counties and cities (districts). The results show that the inter-provincial floating population have strong spatial preference for destination choice, taking on a macro pattern that is "high in the southeast and low in the northwest." They mainly concentrate in the Fuzhou-Xiamen-Quanzhou area, and are rarely distributed in the midwest and north areas. In contrast, the spatial distribution of the intra-provincial floating population is relatively balanced among the areas in the province. The results further show that the inflow of the inter-provincial floating population is mainly driven by the economic development of the destination areas, especially job opportunities provided by the manufacturing industries; however, the inflow of the intra-provincial floating population is mainly determined by the social cause development of the destination areas, with high living quality, favorable conditions for personal development, knowledge-intensive and technology-intensive occupations as the main driving forces, although economic development is also a crucial "pull" factor.
New urbanization is one of the strategic tasks that need to be implemented in China, and the healthy development of urbanization is an important part of optimizing the economic development space. With the continuous development of urbanization, intensive and efficient, green circular and low carbon development will be fully integrated into the new urbanization process. In order to optimize the construction of circular economy in the new urbanization strategy in China, based on the development connotation and main evaluation of the two areas, this paper constructs the evaluation index system, which contains circular towns' construction, industrial upgrading, resource recycling and environment improvement. Combined with the relevant data from 2008 to 2013, using the entropy weight method and the linear weighted comprehensive evaluation method, we evaluate the development of new urbanization in China. Evaluation results show that new urbanization comprehensive score from 2008 to 2013 increases year by year, and the overall development is in good condition. Refinement to the four fields, China's current stage is more focused on the energy saving development of circular towns' construction and industrial upgrading. Evaluation curves of these two areas are similar, and their scores are powerfully increasing year by year. But there are still many problems in the fields of resource recycling and environment improvement: both of the evaluation curves are fluctuating, and they have no steady upward trends. In the next step of circular economy construction of new urbanization, resources recycling and pollutant reduction need to be paid more attention to, thus providing a strong support for the healthy development of new urbanization in China.
Labor demand elasticity, which reflects the sensitivity of firm's labor demand relative to wage rate, can be used as an indicator to measure the fluctuation of labor market as well as the volatility of labors' income. This paper applies large micro firm-level database to estimate China's labor demand elasticity and furthermore gives necessary robustness checks, which is the first literature in this field to our best knowledge. In this paper, we conclude that: the labor demand elasticity of China's industrial firms is in the reasonable range (between −0.75 and −0.15 according to the previous literature); in the period of 1998–2009, the overall degree of labor market fluctuation in China appears slow fluctuation which indicates that China's labor market conditions and stability tend to be well improved. This empirical result, to a large extent, is due to labor demand elasticity of the large share of domestic firms in the whole China's economy tends to be smaller during this period of 1998–2009, while exported-oriented firms' labor demand is more elastic due to substitutability effect and scale effect. Therefore, workers employed by these exported-oriented units are more likely to bear fluctuation risks.
Stimulating the consumption, expanding the investment in fixed assets and export are the main approaches to fulfill the current macroeconomic policy of “stabilizing growth and promoting employment.” This article focuses on China's main economic regional employment issues, and tries to quantify the driving impact of final demand on employment, spatial distribution and pulling efficiency. Based on China's labor-extendedly multi-regional input-output (MRIO) model, Chinese mainland is divided into eight economic regions and the driving impact of final demand on employment of eight regions in 2007 are calculated. The results shows that the amount of employment promotion in the leading three regions (central, southwest and eastern coastal) accounts for 48.35% and their exports accounts for 19.15% of the national gross respectively, indicating that the three regions and their exports are the main forces of stimulating employment. Pulling-effects caused by each region has a considerable proportion of spillover to other regions, while they also undertake spillover pulling-effects from other regions. The efficiency of employment promotion in central, northwest and southwest regions are higher than the national level, while the Beijing-Tianjin region and their exports are only 67.25% of the national level. The findings may provide some valuable data for the regional policy-making. In addition, the research methodology and data are still insufficient and needs to be improved in future.
The excessive growth and large scale of population is one of Beijing's major problems, which have drawn attention from all social circles. This article uses panel data of Beijing's 16 districts and counties from 2006 to 2013 to analyze the impact of industrial agglomeration and industrial structure sophistication on Beijing's population growth with fixed effect model. The conclusions are as follows: the agglomeration of the secondary industry in Beijing plays a role in promoting the growth of population size while the agglomeration of the tertiary industry, especially the agglomeration of modern service industry, has a negative effect on Beijing's population growth. Industrial structure sophistication has a significantly inhibitory effect on Beijing's population size growth. Industrial structure sophistication has significant spillover effect on the population increase of Beijing. As the sophistication of the industrial structure deepens, the inhibitory effect of the tertiary industry, especially modern service industry, on the growth of the population size will grow stronger than the promoting effect of the agglomeration of the secondary industry; with the combined effect of both, Beijing's population size will tend to converge. The conclusions of this article, to some extent, verify the existing qualitative studies of the problem, and provide theoretical support and regulatory direction for the government to regulate the population through industrial policies.
