The MSD approach aims to create lasting and inclusive economic growth by addressing systemic constraints within markets. However, markets are not simply economic entities: they are also deeply embedded in political and social contexts.
Political economy analysis (PEA) is a critical tool for understanding these contexts and informing MSD programme design, implementation and adaptive management. PEA examines the distribution of power, interests and incentives within a system, and how these factors shape market dynamics and influence the potential for change.
Understanding political economy is vital if you want to understand your target group's situation and identify opportunities to improve it. Often markets do not work because current political settlements favour vested interests to the detriment of the poor and most vulnerable. By integrating PEA, MSD programmes can increase their effectiveness, sustainability and ability to promote positive social and economic outcomes.
This useful primer about Political economy analysis has advice about how to conduct one for an MSD programme.
The value of political economy analysis
A PEA can support your market systems analysis in several ways:
- Improving contextual understanding:
PEA provides a deeper understanding of the political, social and institutional factors that shape market behaviour and performance. This includes understanding the power relations between different actors, formal and informal rules of the game, and prevailing norms and values. - Applying a risk assessment:
PEA helps identify potential risks to programme success, such as opposition from powerful vested interests, corruption or political instability. - Identifying leverage points:
By understanding the distribution of power and incentives, PEA can help identify strategic entry points for intervention that can create lasting change. This includes identifying potential allies, understanding the feasibility of influencing policy and regulations, and uncovering opportunities for promoting more inclusive market practices. - Supporting adaptive management:
PEA should be an ongoing process that informs adaptive management and allows for the programme to course-correct, rather than only providing the starting point for analysis. - Promoting sustainability:
PEA helps to align what the programme achieves and what it targets, with what remains after a programme is finished.
How to incorporate PEA into market systems analysis
When undertaking market systems analysis, begin with a rapid, high-level PEA to identify the political and social factors that are likely to influence the programme's success. This can involve reviewing existing literature, conducting key informant interviews and holding stakeholder consultations.
Next, as usual, identify the key actors in the market system, including businesses, government agencies, civil society organisations and influential individuals. Make sure to analyse their power, interests and incentives. Who wins and loses from the current system? What are their formal and informal sources of power?
Next, examine the formal and informal rules that govern the market system. Are there policies and regulations that discriminate against certain groups or hinder the development of more inclusive market practices? How are these rules enforced?
Finally, explore the prevailing social norms and values that shape market behaviour. Are there cultural beliefs that limit the participation of certain groups in the market? How do social norms affect consumer preferences and business practices?
Using political economy analysis to improve the enabling environment for agricultural market systems provides an overview and links to how PEA can support agricultural market systems programming.
Challenges to conducting PEA
Conducting a PEA is not straightforward given the nature of power and politics. It is important to be aware of the main challenges you may encounter:
- Data availability: PEA often relies on qualitative data, which can be difficult to obtain. Use a variety of data sources and methods to triangulate findings.
- Bias:
Be aware of the risk of biases arising in data collection and analysis. Use diverse teams and methods to mitigate this. - Lack of political will:
If there is strong opposition to the programme's goals, it may be difficult to achieve lasting change. Focus on building coalitions of support and advocating for policy reforms.