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Fragmentation in social health insurance schemes is an important factor for inequitable access to health care and financial protection for people covered by different health insurance schemes in China. To fulfil its commitment of universal health coverage by 2020, the Chinese Government needs to prioritise addressing this issue. After analysing the situation of fragmentation, this Review summarises efforts to consolidate health insurance schemes both in China and internationally. Rural migrants, elderly people, and those with non-communicable diseases in China will greatly benefit from consolidation of the existing health insurance schemes with extended funding pools, thereby narrowing the disparities among health insurance schemes in fund level and benefit package. Political commitments, institutional innovations, and a feasible implementation plan are the major elements needed for success in consolidation. Achievement of universal health coverage in China needs systemic strategies including consolidation of the social health insurance schemes.

China's current strategy to improve how health services are paid for is headed in the right direction, but much more remains to be done. The problems to be resolved, reflecting the setbacks of recent decades, are substantial: high levels of out-of-pocket payments and cost escalation, stalled progress in providing adequate health insurance for all, widespread inefficiencies in health facilities, uneven quality, extensive inequality, and perverse incentives for hospitals and doctors. China's leadership is taking bold steps to accelerate improvement, including increasing government spending on health and committing to reaching 100% insurance coverage by 2010. China's efforts are part of a worldwide transformation in the financing of health care that will dominate global health in the 21st century. The prospects that China will complete this transformation successfully in the next two decades are good, although success is not guaranteed. The real test, as other countries have experienced, will come when tougher reforms have to be introduced.

The US government maintains that local sanctuary policies prevent deportations of violent criminals and increase crime. This report tests those claims by combining Immigration and Customs Enforcement (ICE) deportation data and Federal Bureau of Investigation (FBI) crime data with data on the implementation dates of sanctuary policies between 2010 and 2015. Sanctuary policies reduced deportations of people who were fingerprinted by states or counties by about one-third. Those policies also changed the composition of deportations, reducing deportations of people with no criminal convictions by half—without affecting deportations of people with violent convictions. Sanctuary policies also had no detectable effect on crime rates. These findings suggest that sanctuary policies, although effective at reducing deportations, do not threaten public safety.

As digital finance is widely spread and applied in China, this new format of financial technology could become a new way to reduce poverty in rural areas. By matching digital financial indexes of the prefectural-level cities with microdata on rural households from the China Household Finance Survey (CHFS) in 2017, we find that digital finance significantly suppresses absolute poverty and relative poverty among rural households in China, which is supported by a series of robustness tests, such as the instrumental variable approach, using alternative specifications, and excluding extreme observations. Additionally, we provide evidence that the poverty reduction effect of digital finance is likely to be explained by alleviating credit constraints and information constraints, broadening social networks, and promoting entrepreneurship. Our findings further complement the research field on financial poverty reduction and offer insights for the development of public financial policies of poverty reduction in other countries, especially in some developing countries.

In Scotland and internationally, opioid-related overdose is a major cause of premature mortality that adequate distribution of take-home naloxone kits could help to mitigate.1–3 The risk of dying from drug overdose is particularly high soon after prison release and hospital discharge.1,2 Drug-related deaths averaged 500 per annum in Scotland (population: 5 million) during 2006–10; 1970 (79%) of these cases were opioid-related deaths (ORDs), in which heroin, methadone, or buprenorphine was implicated.1 In 2011, Scotland became the first country to implement a National Naloxone Programme (NNP)3 with naloxone kits available to those at risk of opioid-related overdose and after brief training in the community or in prisons. [...]the effectiveness of Scotland's NNP should not be based on a before-and-after comparison of Scotland's ORDs: because a further increase in ORDs, despite the NNP,2,3 could not be ruled out—and has occurred.1 The primary outcome for Scotland's NNP was a reduction from 10% to 7% in ORDs within 4 weeks of prison release (table), and the distribution target was 8000 naloxone kits per year.2 In 6 years (2011–16), Scotland's NNP supplied almost 36 000 naloxone kits, 90% of which were given to people at risk of opioid-related overdose. Norway's mean number of ORDs in 2009–13 was only half of Scotland's value, and the percentage of Norway's ORDs within 4 weeks of prison release5 was also only half of Scotland's value. [...]a Norwegian before and after evaluation of ORDs after prison would require substantially longer time to reach Scotland-equivalent power, but could be accomplished in 2–3 years in England.

In 2014, the National Institutes of Health (NIH) began funding an ambitious research program, the Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative, with the singular focus of advancing our understanding of brain circuits though development and application of breakthrough neurotechnologies. As we approach the halfway mark of this 10-year effort aimed at revolutionizing our understanding of information processing in the human brain, it is timely to review the progress and the future trajectory of BRAIN Initiative research.

The paper takes listed companies in the heavily polluting industry from 2009–2017 as a research sample to explore whether heavy pollution enterprises’ environmental protection investment helps their debt financing under the institutional background of China’s continuous implementation of green credit policy. It is found that, in general, the environmental protection investment of heavy pollution enterprises helps them to obtain more and relatively long-term new loans; in terms of time, this effect is more evident after the release of China’s Green Credit Guidelines in 2012; in addition, the level of regional environmental pollution, the level of financial development and the green fiscal policy also have a moderating effect on this. This paper enriches the study of the economic consequences of corporate environmental protection investment from the perspective of debt financing. It examines the effects of the implementation of China’s green credit policy and other institutional factors to provide a reference for the heavy pollution enterprises’ environmental protection investment and the implementation of green credit policy by local governments in China.

This paper aims to explore several ways to construct a scientific and comprehensive early warning system (EWS) for local government debt risk in China. In order to achieve this goal, this paper studies the local government debt risk from multiple perspectives, i.e., individual risk, contagion risk, static risk and dynamic risk. Firstly, taking China’s 30 provinces over the period of 2010~ 2018 as a sample, this paper establishes early warning indicators for individual risk of local government debt, and uses the network model to establish early warning indicators for contagion risk of local government debt. Then, this paper applies the criteria importance though intercrieria correlation (CRITIC) method and coefficient of variation method to obtain the proxy variable Ⅰ, which combines the above two risks. Secondly, based on the proxy variable Ⅰ, both the Markov-switching autoregressive (MS-AR) model and coefficient of variation method are used to obtain the proxy variable Ⅱ, which comprehensively considers the individual risk, contagion risk, static risk and dynamic risk of local government debt. Finally, machine learning algorithms are adopted to generalize the EWS designed in this paper. The results show that: (1) From different perspectives of local government debt risk, the list of provinces that require early warning is different; (2) The support vector machines can well generalize our EWS.

The 2016 Peace Agreement has increased access to Colombia’s unique ecosystems, which remain understudied and increasingly under threat. The Colombian government has recently announced its National Bioeconomic Strategy (NBS), founded on the sustainable characterization, management, and conservation of the nation's biodiversity as a means to achieve sustainability and peace. Molecular tools will accelerate such endeavors, but capacity remains limited in Colombia. The Earth Biogenome Project's (EBP) objective is to characterize the genomes of all eukaryotic life on Earth through networks of partner institutions focused on sequencing either specific taxa or eukaryotic communities at regional or national scales. Colombia’s immense biodiversity and emerging network of stakeholders have inspired the creation of the national partnership “EBP-Colombia.” Here, we discuss how this Colombian-driven collaboration between government, academia, and the private sector is integrating research with sustainable, environmentally focused strategies to develop Colombia’s postconflict bioeconomy and conserve biological and cultural diversity. EBP-Colombia will accelerate the uptake of technology and promote partnership and exchange of knowledge among Colombian stakeholders and the EBP’s global network of experts; assist with conservation strategies to preserve Colombia’s vast biological wealth; and promote innovative approaches among public and private institutions in sectors such as agriculture, tourism, recycling, and medicine. EBP-Colombia can thus support Colombia’s NBS with the objective of sustainable and inclusive development to address the many social, environmental, and economic challenges, including conflict, inequality, poverty, and low agricultural productivity, and so, offer an alternative model for economic development that similarly placed countries can adopt.