Policy options for strengthening evidence-informed health policy-making in Iran: overall SASHA project findings

Background The institutionalization of evidence-informed health policy-making (EIHP) is complex and complicated. It is complex because it has many players and is complicated because its institutionalization will require many changes that will be challenging to make. Like many other issues, strengthening EIHP needs a road map, which should consider challenges and address them through effective, harmonized and contextualized strategies. This study aims to develop a road map for enhancing EIHP in Iran based on steps of planning. Methods This study consisted of three phases: (1) identifying barriers to EIHP, (2) recognizing interventions and (3) measuring the use of evidence in Iran's health policy-making. A set of activities was established for conducting these, including foresight, systematic review and policy dialogue, to identify the current and potential barriers for the first phase. For the second phase, an evidence synthesis was performed through a scoping review, by searching the websites of benchmark institutions which had good examples of EIHP practices in order to extract and identify interventions, and through eight policy dialogues and two broad opinion polls to contextualize the list of interventions. Simultaneously, two qualitative-quantitative studies were conducted to design and use a tool for assessing EIHP in the third phase. Results We identified 97 barriers to EIHP and categorized them into three groups, including 35 barriers on the “generation of evidence” (push side), 41 on the “use of evidence” (pull side) and 21 on the “interaction between these two” (exchange side). The list of 41 interventions identified through evidence synthesis and eight policy dialogues was reduced to 32 interventions after two expert opinion polling rounds. These interventions were classified into four main strategies for strengthening (1) the education and training system (6 interventions), (2) the incentives programmes (7 interventions), (3) the structure of policy support organizations (4 interventions) and (4) the enabling processes to support EIHP (15 interventions). Conclusion The policy options developed in the study provide a comprehensive framework to chart a path for strengthening the country’s EIHP considering both global practices and the context of Iran. It is recommended that operational plans be prepared for road map interventions, and the necessary resources provided for their implementation. The implementation of the road map will require attention to the principles of good governance, with a focus on transparency and accountability.

Nuclear Policy Re(V)iew from the Periscope: SLBM and SLCM Policy Options for the 2022 Biden White House

Advances in nuclear weapon technologies from – and the corresponding evolution in the threat landscape posed by – non-allied nations over the past four years underscores the exigency of the United States (U.S) in updating its stated national security policies. Here we review and suggest options for the 2022 Nuclear Posture Review (NPR) regarding the low-yield submarine-launched cruise missile (SLCM-N) and submarine-launched ballistic missile (SLBM) programs. The 2018 NPR called for programmatic changes to counteract the evolving threat environment and allow for greater deterrence flexibility. These programs include modernization of existing technologies and creation of novel weapons systems. Of these changes, two new programs were started to develop low-yield, sea-based, non-strategic weapons. These options are designed to counter any perceived gaps in U.S. regional deterrence capabilities. We enumerate several policy options likely to be considered by the Biden White House. Our proposed solution calls for maintenance of the W76-2 program and the continuance of the low-yield SLCM-N program; we present our argument along the axes of technical and cost considerations, service system preferences, tailored response capabilities, ensured support and defense of our allies, and prevention of escalation to war.

Dynamics of water-energy-food nexus interactions with climate change and policy options

Understanding the dynamics of water-energy-food (WEF) nexus interactions with climate change and human intervention helps inform policymaking. This study demonstrates the WEF nexus behavior under ensembles of climate change, transboundary inflows, and policy options, and evaluates the overall nexus performance using a previously developed system dynamics-based WEF nexus model—WEF-Sask. The climate scenarios include a baseline (1986-2014) and near-future climate projections (2021-2050). The approach is demonstrated through the case study of Saskatchewan, Canada. Results show that rising temperature with increased rainfall likely maintains reliable food and feed production. The climate scenarios characterized by a combination of moderate temperature increase and slightly less rainfall or higher temperature increase with slightly higher rainfall are easier to adapt to by irrigation expansion. However, such expansion uses a large amount of water resulting in reduced hydropower production. In contrast, higher temperature, combined with less rainfall, such as SSP370 (2.4 ℃, -6 mm), is difficult to adapt to by irrigation expansion. Renewable energy expansion, the most effective climate change mitigation option in Saskatchewan, leads to the best nexus performance during 2021-2050, reducing total water demand, groundwater demand, greenhouse gas (GHG) emissions, and potentially increasing water available for food production. In this study, we recommend and use food and power production targets and provide an approach to assessing the impacts of hydroclimate and policy options on the WEF nexus, along with suggestions for adapting the agriculture and energy sectors to climate change.

Socioeconomic Effects of COVID-19 in Mexico: A Multisectoral Approach and Policy Options

The health crisis caused by the spread of COVID-19 has caused a profound social and economic disruption in Mexico. Our purpose in this paper is to contribute to the knowledge about the economic impact of the pandemic in Mexico and to evaluate social policy options to mitigate its effects. We do so based on a multisectoral-multiplier model and the most recent Social Accounting Matrix for Mexico, with which we estimate the direct and indirect impacts of COVID-19 as well the likely effects of two alternatives for mitigating them: an unconditional cash transfer scheme for households living in poverty, and the establishment of an unemployment insurance program for workers who have lost their jobs during the pandemic. We find that the first alternative alleviates more value added and loss of income, and thus has a greater effect in reducing inequality and the incidence of poverty.

Constitutional Knowledge, Rights-Based Development, and Citizenship in Zimbabwe

This chapter seeks to assess the trends in rights-based development (RBD) and citizenship in Zimbabwe based on constitutional knowledge to proffer options on how the public can become constitutionally knowledgeable towards developing the nation. The chapter is informed by constitutional knowledge gathered through qualitative data from document analysis and literature on this discourse. The chapter first discusses the provisions of RBD and citizenship in Zimbabwe in light of the constitution. It assesses the trends in RBD and citizenship in Zimbabwe past, present, and the future to analyze the trends in the changes in the development of the nation, based on constitutional knowledge. Lastly, it proffers policy options on ways to nurture constitutionally knowledgeable citizenry.

Early Warning Early Action for the Banking Solvency Risk in the COVID-19 Pandemic Era: A Case Study of Indonesia

The COVID-19 pandemic has affected people’s lives and increased the banking solvency risk. This research aimed to build an early warning and early action simulation model to mitigate the solvency risk using the system dynamics methodology and the Powersim Studio 10© software. The addition of an early action simulation updates the existing early warning model. Through this model, the effect of policy design and options on potential solvency risks is known before implementation. The trials conducted at Bank BRI (BBRI) and Bank Mandiri (BMRI) showed that the model had the ability to provide an early warning of the potential increase in bank solvency risk when the loan restructuring policy is revoked. It also simulates the effectiveness of management’s policy options to mitigate these risks. This research used publicly accessible banking data and analysis. Bank management could also take advantage of this model through a self-stimulation facility developed in this study to accommodate their needs using the internal data.

Compatible or incompatible? DSI, open access, and benefit-sharing

The scientific community has a strong tradition of sharing digital sequence information (DSI) in an unrestricted manner through public databases. While this tradition of “open access” sharing has many benefits, it has created tension in the context of the Convention on Biological Diversity (CBD). Differences of opinion on open access to DSI underlie key points of divergence in ongoing negotiations. The CBD has provided a set of policy options for DSI, but they are not granular enough to assess whether they are compatible with open access principles. Here, we explain what open access to DSI means in practice, assess the CBD DSI policy options through a more granular, technical lens, and discuss which policy options best enable open access. We show that de-coupled benefit-sharing mechanisms for DSI are the most compatible with open access practices and multilateral mechanisms, in general, are the most suited for benefit-sharing if fully de-coupled mechanisms become politically unrealistic.

Informality in the time of COVID-19 in Latin America: Implications and policy options

This paper analyzes the dynamics of the labor market in Latin America during the COVID-19 pandemic. After a decade of a virtuous circle of growth with the creation of formal jobs, the pandemic has had an considerable impact on the region’s labor market, generating an unparalleled increase in the proportion of the inactive population, considerable reductions in informality, and, in contrast, smaller fluctuations in formal jobs. In this context, the formal sector, given its lower flexibility, became a "social safety net" that preserved the stability of employment and wages. Based on the findings presented in this paper, it is projected that, starting in 2021, informality will grow to levels higher than those of the pre-COVID-19 era–with 7.56 million additional informal jobs–as a result of the population returning to the labor market to compensate for the declines in incomes. According to the simulations presented, postponing or forgiving income tax payments and social security contributions conditional on the generation of formal jobs could reduce the growth of informality by 50 to 75 percent. Achieving educational improvements has the potential to reduce it by 50 percent.