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Co-benefit of forestation on ozone air quality and carbon storage in South China
Substantial forestation-induced greening has occurred over South China, affecting the terrestrial carbon storage and atmospheric chemistry. However, these effects have not been systematically quantified due to complex biosphere-atmosphere interactions. Here we integrate satellite observations, forestry statistics, and an improved atmospheric chemistry model to investigate the impacts of forestation on both carbon storage and ozone air quality. We find that forestation alleviates surface ozone via enhanced dry deposition and suppressed turbulence mixing, outweighing the effect of enhanced biogenic emissions. The 2005-2019 greening mitigated the growing season mean surface ozone by 1.4 ± 2.3 ppbv, alleviated vegetation exposure by 15%-41% (depending on ozone metrics) in forests over South China, and increased Chinese forest carbon storage by 1.8 (1.6-2.1) Pg C. Future forestation may enhance carbon storage by 4.3 (3.8-4.8) Pg C and mitigate surface ozone over South China by 1.4 ± 1.2 ppbv in 2050. Air quality management should consider such co-benefits as forestation becomes necessary for carbon neutrality.
Impact of green bonds on CO2 emissions and disaggregated level renewable electricity in China and the United States of America
Green financial products have emerged that can benefit economic actors in financing green initiatives to promote renewable energy and enable carbon neutrality. Against this backdrop, the study examines the impact of green bonds (GBs) on carbon dioxide (CO2) emissions and renewable electricity generation (EG) in China and the USA, the leading countries in terms of GB issuance and CO2 emissions. To this end, the study conducts a disaggregated-level analysis by applying novel nonlinear quantile methods between January 2, 2019, and July 31, 2023. The results demonstrate that at higher quantiles; (i) GBs mainly have a dampening impact on CO2 emissions from the transportation sector in China and the USA; (ii) GBs have a stimulating impact on solar and wind EG in China; (iii) GBs have a diminishing impact on all types of EGs in the USA. Thus, GBs have an impact on carbon neutrality and renewable energy, which differs by quantiles, sectors, and EG sources. Accordingly, various policy implications are discussed in terms of further contributions of GBs to carbon neutrality and renewable energy in China and the USA.
The decreasing housing utilization efficiency in China’s cities
‘Ghost cities’ are a well-known phenomenon of (almost) complete vacancy of urban living space in China. Underutilization of urban living space, however, is far more common than complete vacancy. Here we propose the concept of housing utilization efficiency (HUE) and present the following findings: (1) the overall HUE in China’s highly urbanized areas decreased from 84% in 2010 to 78% in 2020, (2) the HUE in central, old urban areas was generally lower than that in the outer layers of urban areas and declined more from 2010 to 2020 and (3) four development types are found to represent different patterns of urban population movement, urban housing growth and HUE change at the intraurban level. These findings provide comprehensive insight into the discrepancies between urban housing supply and demand in China and highlight their connections to the country’s particular urbanization characteristics and policies, which are crucial for future housing development and planning.
The dual role of motivation on goals and well-being in higher vocational education students: a self-determination theory perspective
Students’ well-being has received increasing international attention. However, research on well-being among higher vocational education (HVE) students, particularly in non-WEIRD contexts, remains limited. This study addresses this gap by investigating the relationships between goals, motivation, and well-being for HVE students in China through the lens of self-determination theory. A survey was administered to 1106 HVE students at a vocational college in China to collect data on their goal content, motivation, and well-being. Quantitative analyses revealed that motivation plays a dual role, acting as both a mediator and a moderator in the relationship between goals and well-being. This dual role is crucial for understanding not only how goals influence well-being but also under what conditions different types of goals promote or hinder well-being. Specifically, intrinsic goals, when paired with autonomous motivation, were found to significantly predict increased well-being. While extrinsic goals combined with controlled motivation also reliably predicted well-being, this relationship should be interpreted cautiously within the specific cultural context of the study. Furthermore, positive relationships between extrinsic goals and well-being, as well as between amotivation and well-being, were observed, contrasting findings from ‘WEIRD’ contexts. This study provides novel insights into how motivation functions as both a moderator and mediator in the goal-well-being relationship within a ‘non-WEIRD,’ specifically Chinese, HVE context. These findings underscore the importance of supporting students in pursuing goals to enhance their well-being. Further research is needed to explore these relationships in diverse cultural settings.
US-China tech decoupling increases willingness to share personal data in China
Conflicts involving tech companies and data privacy between the US and China have evolved into a technology decoupling between the two countries. Nationalistic sentiments have been on the rise in both countries as well. This study examines how the rising geo-technological race and conflict affect people’s perception of data privacy. In particular, we examine whether reminding Chinese internet users of the US-China technological decoupling influences their willingness to share personal data. We conduct a randomized online experiment where we remind people of the US–China technology competition in artificial intelligence or the US sanctions on Chinese tech companies and examine the impact on respondents’ willingness to share personal data with private companies, the central government and local government. We find that the US-China tech decoupling treatments increase people’s willingness to share their data with private companies. Exploring the heterogeneous treatment effects by gender and education level reveals that nationalism is likely the mediating factor that explains why some people, especially, males and the college educated, are more likely to increase their willingness to share personal data when exposed to these treatments. Moreover, the US-China tech decoupling treatments directly increase people’s perception that data is a key input for Chinese company competitiveness in AI development. In sum, we find that reminding people of the US-China tech decoupling can invoke nationalistic sentiment and increase people’s willingness to share data with private companies and the government in China. The randomized control trial was pre-registered on the AEA RCT Registry (AEARCTR-0007526). The public URL of https://www.socialscienceregistry.org/trials/7526 and the digital object identifier (DOI) is 10.1257/rct.7526-1.0.
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