Suchergebnisse

Les médias officiels chinois sont contraints par les réseaux sociaux à s'adapter et à jouer un jeu concurrentiel auquel ils ne sont pas habitués. Amenés par de nouvelles règles du jeu à descendre dans une arène qui n'est pas la leur, ils sont souvent distancés par des opérateurs privés. S'ils bénéficient des subventions de l'État pour affronter dans de bonnes conditions la concurrence, la nécessité d'être encadrée par les directives qui régissent l'action des médias officiels constitue un obstacle dans cette lutte acharnée pour séduire les internautes chinois. La notion de « nouvelles faussées » devient un enjeu pour les médias officiels pour reprendre l'avantage et restaurer leur autorité menacée.

International consensus has been reached for the 2030 Agenda, and governments have adopted measures for the gradual implementation of Sustainable Development Goals (SDGs). In this implementation, education plays a crucial role. Recently, the extent to which Education for Sustainable Development (ESD) has become the norm in national curricula, teacher education, and student assessment has been a focus of extensive research. The present study introduces the geography curriculum and the reform of the National College Entrance Examination (NCEE) in China in the 2000s. A global indicator framework for SDGs is used to analyze sustainable development (SD) content and characteristics in NCEE geography papers. Findings reveal that SD accounts for an average of 71% of score points among the 24 sets of papers. Sustainable agriculture, terrestrial ecosystems, settlements, and water are well reflected in questions, especially water-related ecosystems, resilient agricultural practices, transportation system, tourism, desertification, and degraded land and soil. Sustainable development questions have the characteristics of setting open questions, paying attention to question situation, being close to real life, being moderately difficult, paying attention to regional SD and human-nature relationship, and diversifying question-setting patterns. According to the analysis of papers, SD plays an important role in geography education.

Sino-phobia, which has reportedly grown internationally during the COVID-19 pandemic, is a potential obstacle to China's economic and foreign policy initiatives involving Russia and Central Asia. After providing historical and theoretical context, the authors analyse publicly reported time-series data from Russia and original survey data from Russia and Kyrgyzstan to assess the extent of Sino-phobic attitudes and their associations with demographic, socioeconomic, and geographic variables. By also considering attitudes toward Americans and other national groups, the authors show that anti-Chinese sentiment, while high, does not exhibit especially pronounced tendencies. In Russia, nationalism and anti-immigrant sentiment are key correlates of Sino-phobia. Additional survey research is necessary to assess the impact of COVID-19 on Sino-phobia and determine whether it hinders China-friendly policies, as some observers have suggested. (J Contemp China / GIGA)

Recent studies suggest that the employment rates of foreign-born women are related to cultural norms regarding gender and work in their origin countries. However, origin-country culture may have less influence on the labor-supply decisions of women who self-select into migration precisely in order to pursue work abroad. Female migrants self-select on the basis of employment opportunities to varying extents, and it is hard to measure which ones do and which do not. We propose "migration sequencing" (the timing of married partners' respective migrations) as a proxy for female migrant selectivity with respect to gender-role beliefs and work incentives: female lead migrants and individual (unmarried) migrants are, on average, more motivated by labor-market opportunities or human-capital formation than concurrent or follower migrants. Using data from the American Community Survey, we analyze employment rates of female immigrants to the United States from 130 countries. Our results confirm that sending-country cultural legacies have smaller effects for lead and unmarried migrants and the largest effect for follower migrants. Consistent with our theoretical reasoning, lead and unmarried migrants apparently self-select on economic motivations or less traditional gender norms more than do follower migrants, whose employment rates are thus more influenced by origin-country culture. The findings yield a more nuanced understanding of the variable role origin-country culture plays in immigrants' structural incorporation in the United States and potentially in other destinations as well.

The various benefits of urban green space are gaining increasing attention nowadays. Hence, the distribution of green space has become a scrutinized concern for spatial equity among local governments and the planning scholars. This study is the first quantitative evaluation of urban park accessibility using house-level data in urban China, from the perspective of social equity. We chose Nanjing as the empirical case and examined 2709 real estate units and 79 parks within the city. Accessibility is measured by the 10-min walking distance from homes to the adjacent urban parks. Using the Street Network Analysis model in ArcGIS and the statistical methods in SPSS, the result shows that 60.5% of the real estates in Nanjing are located within a 10-min walk to access urban parks. However, this accessibility is positively correlated with housing prices, and negatively correlated with the age of the buildings, holding all other factors constant. While affluent homeowners capture a high-quality green amenity, newly-built low-income communities, where most residents are classified as a vulnerable population, have the lowest percentage of accessible green space. This study reveals the existing spatial disparities of urban park accessibility among different socio-economic groups in Nanjing, China. Additionally, we found that urban redevelopment projects with greening and the large-scale affordable housing construction are pricing out the urban poor and rural immigrants from the inner city to the urban peripheral areas. This will reduce the accessibility to urban parks and other public service facilities among the lower income families, and exacerbate the inequality among the rich and the poor in terms of their quality of life. Main findings of this study can inform policy decisions regarding equitable park provision in the construction of the green city and the sustainable development in urban China and other developing countries.

Public transport brings significant benefits to the aging society by providing essential mobility to the elderly. However, few studies have investigated the factors that impact public transport use among the urban or rural elderly. This study explored the effects of personal, attitudinal, household, social environment, and built environment factors on the public transport trips of the elderly. The research data was collected from 274 urban and rural neighborhoods of Zhongshan, a medium-sized Chinese city. The negative binomial regression models suggest that, all else being equal, living in a neighborhood with a high level of public transport service, abundant green space along walking routes connecting home and bus-stops, or a relatively balanced structure of age or income is strongly connected to more public transport trips of the elderly. The results also indicate that a strong preference for public transport is significantly related to the public transport use among the elderly. These findings facilitate our understanding of the correlates of public transport use while providing insights into achieving an effective design of policies to encourage public transport use among the elderly in China.

AbstractClimate change is expected to increase the frequency and intensity of natural hazards such as hurricanes. With a severe shortage of affordable housing in the United States, renters may be uniquely vulnerable to disaster‐related housing disruptions due to increased hazard exposure, physical vulnerability of structures, and socioeconomic disadvantage. In this work, we construct a panel dataset consisting of housing, socioeconomic, and hurricane disaster data from counties in 19 states across the East and Gulf Coasts of the United States from 2009 to 2018 to investigate how the frequency and intensity of a hurricane correspond to changes in median rent and housing affordability (the interaction between rent prices and income) over time. Using a two‐stage least square random‐effects regression model, we find that more intense prior‐year hurricanes correspond to increases in median rents via declines in housing availability. The relationship between hurricanes and rent affordability is more complex, though the occurrence of a hurricane in a given year or the previous year reduces affordable rental housing, especially for counties with higher percentages of renters and people of color. Our results highlight the multiple challenges that renters are likely to face following a hurricane, and we emphasize that disaster recovery in short‐ and medium‐term should focus on providing safe, stable, and affordable rental housing assistance.