The transformative 2030 agenda, adopted in September 2015 by all UN member states, sets an ambitious agenda to protect people and the planet, and achieve prosperity for all. While these goals are global in nature and universally applicable, countries are expected to prioritize and localize SDG targets guided by the ambition and spirit of the agenda but taking into account national and local circumstances. This process of “localizing the SDGs” requires tools and policy guidance for states, provinces, and local government units.
In Myanmar, UNDP’s local governance program is implementing a participatory local development planning project built around a discretionary grant to state/regions for further allocation to participating townships. The project, using an institutional approach, supports the Government of Myanmar (GoM) in Bago region and Mon state to pilot a mechanism for participatory planning using fiscal decentralization as driver for change towards a more transparent, accountable and evidence based local development planning model.
In relation to this ongoing project, UNDP and GoM have agreed on testing an innovative approach to ‘Localize the SDGs’ that aims to create greater coordination between national, sub national and local policies, plans and strategies as well as cooperation between all levels of governments, citizens and the private sector. In this context, UNDP and GoM will use the “SDG Local and Urban Governance Dashboard” that is developed by the UNDP Regional Hub and Microsoft to provide ‘evidence-based’ information for subnational and local governments to mainstream relevant SDGs in local development plans and budgets (multi-year or annual), considering most critical priorities, vulnerabilities, resources but also local governance opportunities and challenges.
In preparation, part of this exercise is a local governance assessment which requires a representative sample of households in 4 townships (2 in Mon state and 2 in Bago region). It is anticipated that the most appropriate approach to drawing a representative sample in this case will be a stratified two-stage sample design with Census Enumeration Areas (EA) as the Primary Sampling Units.
UNDP is therefore looking for an experienced consultant to: recommend the sample size based on the objectives of the survey; to facilitate the liaison with GoM’s Department of Population to obtain the necessary Census EA maps and listing forms (if necessary and permissible this may include remote support to DoP’s drawing of the EA sample); and eventually to calculate the weights for data analysis.