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Intersectionality and Development Policy

Assignment Brief

CW1 Essay (2500 words; worth 50% of total mark)

AI5202 Assessment questions 2019-20

TERM 1

What is intersectionality? How might application of an intersectional lens when devising development policy improve the impacts of development interventions?

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Sample Answer

Intersectionality and Development Policy: Enhancing the Impacts of Interventions

Introduction

The concept of intersectionality has become central to contemporary discussions about social inequality, human rights, and policy design. Coined by Kimberlé Crenshaw in 1989, intersectionality highlights how multiple social categories, such as gender, race, class, sexuality, disability, and age, interact to produce unique experiences of discrimination or privilege. In development policy, applying an intersectional lens involves recognising the complexity of these overlapping identities to design interventions that are inclusive, equitable, and effective. This essay explores the concept of intersectionality, its theoretical foundations, and how incorporating this framework into development policy can improve outcomes for marginalized groups.

Understanding Intersectionality

Intersectionality emerged from critical feminist theory and Black legal scholarship, addressing the limitations of approaches that consider social categories in isolation. Crenshaw (1989) illustrated how Black women faced discrimination differently from white women or Black men, revealing that social systems of oppression are interconnected and cannot be understood independently. Beyond race and gender, intersectionality recognises factors such as socioeconomic status, ethnicity, disability, and migration status, which interact to shape individual experiences.

Theoretical perspectives, such as those from Collins (1990) and Hancock (2007), emphasise that power relations and social hierarchies are mutually reinforcing. For instance, a low-income woman with a disability may face compounded barriers to education, healthcare, and employment that are qualitatively different from those experienced by non-disabled women or men of similar economic status. This holistic understanding challenges policymakers to move beyond one-dimensional approaches to development.

Intersectionality in Development Policy

Development interventions often fail to achieve their goals because they assume homogeneity within target populations. Traditional gender-focused or poverty-focused policies may overlook intra-group differences, leading to unintended exclusion or reinforcement of existing inequalities. By applying an intersectional lens, policymakers can identify which sub-groups are most marginalised and tailor interventions to meet their specific needs.

For example, in education policy, a development programme aiming to improve female literacy may increase overall enrolment but still leave out girls from rural ethnic minorities or those with disabilities. Intersectional analysis can highlight these gaps and inform strategies such as multilingual learning materials, accessible infrastructure, or conditional cash transfers for the most vulnerable groups. Similarly, in healthcare, maternal health initiatives that fail to consider intersectional factors such as ethnicity, migration status, and disability may inadvertently exclude women who face the highest risk of poor outcomes.

Case Studies Demonstrating Intersectional Approaches

One example of intersectionality in development is the UN Women-supported project in Kenya, which targeted female smallholder farmers. Initial programmes focused solely on gender, providing agricultural training and credit access. Evaluation revealed that women from minority ethnic groups and those with lower land ownership benefited least due to systemic barriers. By redesigning interventions to account for intersecting inequalities, including land tenure, ethnicity, and household responsibilities, the programme improved participation rates and economic outcomes across all sub-groups (UN Women, 2018).

In India, intersectional approaches to social protection schemes have also been effective. The Public Distribution System (PDS) provides food subsidies to low-income families. Studies show that women-headed households, scheduled castes, and tribal populations often face administrative barriers. By incorporating intersectional data and targeted outreach, the government improved access for these groups, reducing hunger and malnutrition more effectively than universal approaches (Agarwal, 2017).

Challenges and Limitations

Despite its promise, implementing intersectionality in development policy is challenging. It requires detailed data on multiple social categories, which is often unavailable or unreliable in low-income countries. Policymakers may face trade-offs between targeting specific sub-groups and scaling interventions broadly. Additionally, intersectionality can complicate programme evaluation, as outcomes must be assessed across multiple dimensions rather than simple averages.

Nonetheless, these challenges are not insurmountable. Participatory approaches, qualitative research, and disaggregated data collection can provide the insights needed to apply intersectional frameworks effectively. International agencies, including the World Bank and UNDP, increasingly emphasise intersectional metrics to evaluate programme impact and guide resource allocation.

Recommendations for Development Practice

To integrate intersectionality into development policy, several steps are necessary. First, governments and agencies should collect and analyse disaggregated data that reflect multiple social categories. Second, programme design should involve affected communities in participatory planning to ensure interventions address intersecting barriers. Third, evaluation frameworks must consider outcomes across sub-groups to prevent reinforcing inequalities. Finally, intersectional training for policymakers and practitioners can improve understanding and implementation of inclusive development strategies.

It means looking at how different social categories like gender, race, class, and disability overlap to shape people’s experiences of inequality.

Because it helps identify which groups are most marginalised, ensuring policies reach everyone, not just the majority or easiest-to-reach groups.

Yes. By considering overlapping inequalities, projects can design interventions that better address barriers and improve outcomes for all sub-groups.

Challenges include limited data, complex programme design, and evaluating outcomes across multiple dimensions instead of averages.

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