外商直接投资促进中国经济增长,但增长的背后是否加剧了碳排放问题值得关注。本文基于2003-2022年中国284个地级市数据进行实证研究。研究表明:(1)基准检验发现,FDI有助于降低城市碳排放。(2)异质性检验证实,城市发展程度和城市集聚程度越低,FDI的碳减排效应越弱,甚至可能出现负向影响。
This study exploits the unique setting of China's 2016 mandate requiring firms to disclose their involvement in targeted pairing assistance (TPA) to explore the impact of corporate social responsibility (CSR) practices on digital financial inclusion (DFI) at the recipient county level. Using manually collected data, we employ a staggered difference-in-differences approach to examine how firms' targeted pairing assistance with counties affects DFI. Our results show that firms' pairing assistance, an innovative CSR practice, can significantly improve DFI in recipient counties. This remains robust after considering two-way fixed effects (TWFE) potential bias, endogeneity issues and robustness checks. Mechanism analysis shows that firms can leverage their financial expertise and CSR experience to broaden DFI coverage, while those with digitalization capabilities further advance the digitalization process. We also uncover pairing firms' alignment-through industry synergy and regional complementarity-which improves the impact of TPA on DFI. Overall, this paper provides new insights into the social benefits of CSR, shifting the research focus from the focal firm to its impact on beneficiaries.
This paper investigates the spillover effects of peer poverty on student outcomes using data from a nationally representative, randomly assigned sample of junior high school classes in China. We find that higher classroom poverty rates significantly reduce students' academic performance, non-cognitive skills, and the likelihood of high school and college enrollment. These effects are particularly pronounced among students from lowerincome families, while the presence of wealthier peers provides yields little benefit. Mechanisms driving these outcomes include diminished student motivation, poorer classroom climates, reduced parental involvement, and lower teacher attention. Our findings provide new evidence on the impact of peer socio-economic status on student achievement and long-term educational trajectories.
人工智能对人力资源管理的影响是全方位且颠覆性的,不仅提升管理效率,更以创新的方式重构各个环节的运作范式。人工智能技术的发展,已经超越了简单、重复性工作的替代,逐渐进入智能分析、智能运营等深度应用。无论是数字原生企业,还是数字化转型的企业,都可以应用大数据和AI技术,提升人力资源管理效能