This study explores how humanitarian organizations (HOs) link donors and recipients in a disaster relief coordination mechanism. Based on an analysis of real data collected from the financial tracking service, our results show that disaster assistance through the HO channel greatly exceeds the funding delivered by the non-HO channel. The severity of the disaster is positively correlated with the involvement of HOs. Disaster-stricken countries that belong to the Non-Aligned Movement receive more assistance through the HO channel. The recipients with less international trade may attract more HO-channel funding, but higher international tourism expenditures also may result in more HO-channel funding. We also found that the determinants of the disaster relief coordination path vary greatly in terms of trade openness, political regime, and geographic factors. Based on the analysis of the primary humanitarian relief supply chain, the results show that some countries prefer to donate through large international HOs (e.g., Japan and Canada), and other countries favor national level organizations (e.g., the UK and the USA). Finally, to improve the efficiency of international disaster relief, the paper suggests a coordination platform that involves the main donors, frequent recipients, HOs, and a Global Information Network that can assist in coordinating disaster relief activities.

The main purposes of government environmental policy include improving the objective natural environment as well as reducing the health risk of the public. A majority of studies have tested the means of achieving the first goal. In this paper, we aimed to gather empirical evidence pertaining to the realization of the second goal by drawing on a quasi-natural experiment that was conducted based on the “Action Plan on Air Pollution Prevention and Control” issued in 2013 (AP2013). The research data came from the tracking data of 17,766 individuals from 112 prefecture-level cities of China in 2012 and 2014. Through ordinal logistic regression and DID analysis, a causal relationship between the AP2013 policy and public health risk perceptions was verified, indicating that this policy can significantly decrease public health risk perceptions. By constructing different subsamples, an inverted U-shaped relationship between the causal effect and the length of the policy implementation window was established, which demonstrated the short-term signal effect and long-term implementation effect of this policy. The conclusions can help with the communication and implementation of a government’s policy.