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The role of markets in influencing food security cannot be overemphasized. Therefore it is important to understand how policies aimed at influencing market policy have performed. This paper studies how market liberalization policies have affected market efficiency in Malawian Maize markets. Using monthly time series price data from 12 markets in Malawi for the period from 1991 to 2016, market efficiency is measured using market integration as an indicator. Vector Error Correction models and Threshold auto regression models are used to measure the magnitude, direction and speed of market integration. We find that compared to maize market integration studies, market integration is indeed high, with average percent values of long run price transmission around 97% thereby supporting the law of one price. Speed of adjustment parameters for the Vector error correction model were on average 23% indicating a time frame of 4 months for market to return to equilibrium after a shock. The threshold auto regression model results indicate much faster speeds of adjustment, with an average time range of 2 weeks for half of the disequilibrium to be corrected. Therefore, Market Liberalization policies, even under frequent government intervention has led to increased market efficiency. ; submittedVersion ; M-ECON

Optimising the use of limited health resources in low-income and middle-income countries towards the maximisation of health outcomes requires efficient distribution of resources across health services and geographical areas. While technical research exists on how efficiencies can be achieved in resource allocation, there is limited guidance on the policy processes required to convert these technical inputs into practicable solutions. In this article, we discuss Malawi's experience in 2019 of revising its resource allocation formula (RAF) for the geographical distribution of the government health sector budget to the decentralised units in-charge of delivering primary and secondary healthcare. The policy process to revise the RAF in Malawi was initiated by district assemblies seeking a more equitable distribution of government resources, with the Ministry of Health and Population (MOHP) leading the technical and deliberative work. This article discusses all the steps undertaken by MOHP, Malawi to date as well as the steps necessary looking forward to legally establish the newly developed RAF and to start implementing it. We highlight the practical and political considerations in ensuring the acceptability and implementation feasibility of a revised RAF. It is hoped that this discussion will serve as guidance to other countries undergoing a revision of their resource allocation frameworks.

Optimising the use of limited health resources in low-income and middle-income countries towards the maximisation of health outcomes requires efficient distribution of resources across health services and geographical areas. While technical research exists on how efficiencies can be achieved in resource allocation, there is limited guidance on the policy processes required to convert these technical inputs into practicable solutions. In this article, we discuss Malawi's experience in 2019 of revising its resource allocation formula (RAF) for the geographical distribution of the government health sector budget to the decentralised units in-charge of delivering primary and secondary healthcare. The policy process to revise the RAF in Malawi was initiated by district assemblies seeking a more equitable distribution of government resources, with the Ministry of Health and Population (MOHP) leading the technical and deliberative work. This article discusses all the steps undertaken by MOHP, Malawi to date as well as the steps necessary looking forward to legally establish the newly developed RAF and to start implementing it. We highlight the practical and political considerations in ensuring the acceptability and implementation feasibility of a revised RAF. It is hoped that this discussion will serve as guidance to other countries undergoing a revision of their resource allocation frameworks.

Background: In 2011, the Ministry of Health in Malawi developed and institutionalized a resource-tracking process, known as resource mapping (RM), to collect information on planned funding flows across the health sector to support resource allocation and mobilization decisions. We analyze the RM process and tools and describe key uses of the data for health financing decision making to achieve universal health coverage (UHC). Methods: We applied a case study approach, written as a collaboration between policy makers who have led the RM process in Malawi and the implementation team who have developed tools, collected data, and reported results over the period. It draws on our experiences in conducting RM in Malawi to document the RM process and data, key uses of data, implementation challenges, and lessons learned. We conducted a gray literature review to understand rounds of RM in which we did not participate. Finally, we conducted a search of published literature to situate our work in the international health resource-tracking literature. Results: The RM exercise in Malawi is iteratively designed around the needs of the end users and policy priorities of the government, which in turn drives institutionalization of the exercise. We describe 4 ways in which RM data has been used, including national and district planning and budgeting; prioritization and coordination of existing funds by estimating resource availability; mobilization of new resources by conducting financial gap analysis against costed national strategic plans; and generation of evidence to support the national response to the coronavirus disease 2019 pandemic. Discussion: To achieve UHC goals in Malawi, RM has equipped the government and development partners with critical data used for resource mobilization and coordination decisions. Lessons learned from RM in Malawi may be applicable to other countries starting or refining their own health resource-tracking exercise.

AbstractMalawi has high unmet need for contraception with a costed national plan to increase contraception use. Estimating how such investments might impact future population size in Malawi can help policymakers understand effects and value of policies to increase contraception uptake. We developed a new model of contraception and pregnancy using individual‐level data capturing complexities of contraception initiation, switching, discontinuation, and failure by contraception method, accounting for differences by individual characteristics. We modeled contraception scale‐up via a population campaign to increase initiation of contraception (Pop) and a postpartum family planning intervention (PPFP). We calibrated the model without new interventions to the UN World Population Prospects 2019 medium variant projection of births for Malawi. Without interventions Malawi's population passes 60 million in 2084; with Pop and PPFP interventions. it peaks below 35 million by 2100. We compare contraception coverage and costs, by method, with and without interventions, from 2023 to 2050. We estimate investments in contraception scale‐up correspond to only 0.9 percent of total health expenditure per capita though could result in dramatic reductions of current pressures of very rapid population growth on health services, schools, land, and society, helping Malawi achieve national and global health and development goals.