7.4 KiB
7.4 KiB
Older study - Morabito, Negre, Niño-Zarazúa: The distributional impacts of development cooperation projects
RQs
- Are the projects primarily helping reduce inequality in Benin, Djibouti-Ethiopia, Uganda, Vietnam?
- reducing inequality = affecting the bottom 40% of wealth distribution
- are they explicitly targeting a reduction of inequality?
- are the bottom 40% the direct beneficiaries of the programme?
- is the method of scoreboard and equity tool combined effective for establishing this?
Methodology
2 sides:
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explicit targeting:
- Inequality Markers/Scoreboard assessing whether inequality reduction is central objective
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primary beneficiaries:
- Equity Tool to estimate distributional impact of measures
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in-depth:
- assessment of explicit aims of project to benefit lower part of wealth distribution (qualitative)
- for budget support/support for government spending assessment of disproportional effects for bottom 40% of income distribution
- geographical allocation assessment analyzes direction of benefits to areas with high proportion of households at bottom of income distribution
- willingness of programme/project to address inequality as goal through associated documentation for project/agency's country strategy
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advantages of methodology:
- allows possibility to obtain relevant information within limited budget/timeframe
- can be implemented ex-ante at baseline or ex-post at end line of policy interventions
New Study - Inequality in Vietnam, Uganda, Benin, Ethiopia-Djibouti
What I do (TOR)
- Review of project documents for context familiarization
- Review of recent literature on level and drivers of inequalities in each country case study:
- focus on income inequality (bases on bottom 40% wealth distribution, Gini coefficient, other inequality meaures)
- policy areas of AFD development interventions (e.g. inequalities in access to safe drinking water in Uganda)
- Descriptive analysis of composition and trends of development assistance to sector of interest in recipient country by:
- by type of finance (does this overlap with OECD DAC type of aid?)
- cooperation modality
- type of donor based on OECD DAC (Development Assistance Committee) CRS (Creditor Reporting System) dataset and DAC CRS codes
What I do (detailed steps)
- analysis of inequality levels in country, and primary drivers:
- Gini coefficients over time
- Povcalnet (poverty headcounts)
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- primary drivers from literature on country inequality
- analysis of donor/national plans:
- inequality reduction contained in objective of AFD / EU interventions
- assessment with scorecard built from indicators from Robilliard and Lawson (2017)
- how well are inequality drivers assessed for country/sectors
- analysis of potential inequality reducing effects:
- a. of programmes/projects:
- provide first order assessment of potential effects on inequality no accounting for indirect/general equilibrium effects
- see if more than 40% of beneficiaries are below 40% of income/wealth distribution - likely to have reducing effect
- use equity tool to see beneficiaries' wealth distribution
- b. of budget support operations:
- incidence analysis of government expenditure to identify extent of benefiting bottom 40% of income distribution
- 'Commitment to Equity (CEQ)' assessment tools and Standard indicators
- Gini coefficients broken down into market income/disposable and final incomes as well as their pre-/post-distribution
- a. of programmes/projects:
Projects
- Vietnam AFD
- Uganda
- Ethiopia-Djibouti
- Benin
Resources
- Sector classification: https://www.oecd.org/dac/financing-sustainable-development/development-finance-standards/purposecodessectorclassification.htm
- Type of finance (e.g. budget support, project-type interventions): https://www.oecd.org/dac/financing-sustainable-development/development-finance-standards/type-aid.htm
- DAC CRS codes: https://www.oecd.org/development/financing-sustainable-development/development-finance-standards/dacandcrscodelists.htm
- Global Picture development committee: https://www.oecd.org/dac/financing-sustainable-development/development-finance-data/
- DAC CRS dataset: stats.oecd.org
- Equity Tool: https://www.equitytool.org/
- Commitment to Equity:
- data access here - https://commitmentoequity.org/datacenter
- visualizations with xls export here (ex Ethiopia) - https://commitmentoequity.org/datavisualization/country/ETH
- WorldBank (poverty/inequality) indicators: (ex Eth) https://data.worldbank.org/country/ethiopia
Questions
- How is the project selection going to go - e.g. there are already 8 AFD projects operating in Uganda - who picks and chooses?
- Are the development programs/projects pre-selected?
- Do we already have a questionnaire conducted with EquityTool for the individual project-based development or is this something to be done after programme assessments?
- what is the general time plan for the project - when would analysis/writing be ideal
- TOR states June to end of Sep - is this project period as well?
- I can maybe devote a couple hours here/there in June but mostly to the end of June
- only really begin with analysis come July
- When it says 'type of finance' in the analysis, is that the same facet as type of aid (meaning budget support, project-type intervention) or something different?
Meeting
Projects:
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Uganda - AFD drinking access rural/poor
- not just income/ Gini
- unequality of water access
- what are underpinning problems
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Benin - electricity
- how unequal is el distrib.
- rural
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Vietnam - water distribution/dam lock projects
- how do floodings affect people unequally
- water management inequality problems
- infrastructure quality difference - per area etc
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Djibouti-Eth - trade between countries
- problems between conflict
- may include it, may not - prepare for background anyways
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results should be ~10 pg overviews overall (incl graphs tables)
- use policy reports as inputs, e.g. gov doc / international policy reports on inequality
- distribution within countries / esp within B40
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ideally there will come info from AFD /other donors
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look into tax exemption