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The Welfare Impact of Rural Electrification. Howard White IEG, World Bank. Introduction. IEG impact studies Rigorous and relevant Theory-based Link to CBA Rural electrification (RE) Multi-country Portfolio review Multiple data sets Country case studies. Overview.
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The Welfare Impact of Rural Electrification Howard White IEG, World Bank
Introduction • IEG impact studies • Rigorous and relevant • Theory-based • Link to CBA • Rural electrification (RE) • Multi-country • Portfolio review • Multiple data sets • Country case studies
Overview • Strategy and portfolio • Output achievements • Who benefits? • Identifying benefits • Returns • Policy implications Underlying theme of evaluation design
Evaluation design I: portfolio review • Identify all RE projects – there is no list and RE activities fall under many projects • Dedicated RE – becoming more common • Larger energy sector project – RE component may be very small (e.g. a study), usual rule of thumb is 10% budget to count • Multi-sector – mainly Community Driven Development (CDD) • Portfolio review analyses the universe of projects • Quantitative • Qualitative
Changing strategy • 1993 Policy Papers • Environment • Private sector • 1996: Rural energy and development: improving energy supplies for 2 billion people • 2001 sector board paper ‘helping poor directly’ one of four pillars, which includes priority to gender issues
One consequence of strategy: Increasing number of RET and off-gird projects • Percentage projects with off-grid • 1980-95: 2% • 1996-2006: 60% • Percentage RE projects with RET • 1980-95: 35% • 1996-2006: 62%
First conclusion Disconnect between strategy and project design, with little explicit attention to poverty and gender objectives in the majority of projects
Outputs • Most (but not all) projects deliver on infrastructure • In particular a series of dedicated projects can make a very substantial contribution to RE coverage • Indonesia • Bangladesh • There has been progress on institutional issues but it is uneven
Evaluation design II: the role of descriptive analysis (the factual) • Targeting – profiles of who benefits? So need characteristics • Uses of electricity – need detailed data on appliance usage • Alternative fuel sources – need detailed data on fuel usage for all activities Issues in questionnaire design
Second conclusion RE reaches poorer groups as coverage expands, but there remains a residual of unconnected households in connected villages for many years
Evaluation design III: who is the control group? (the counterfactual) • Need a control group identical to treatment group • Selection bias • Program placement • Self-selection • Approaches • RCTs • Statistical matching (PSM or regression discontinuity) • Regression Is selection just on observables?
Uses • Lighting • TV • Other household appliances • Small business appliances • Social facilities
Benefits • Domestic benefits • Recreation • Homework • Information • NOT cooking • Productive uses • Home enterprise • Industry • Agriculture • Social benefits • Facilities • Staffing • Safety Environmental benefits Need HIGH QUALITY data on all these
Quantification of benefits • Approach • WTP • Income gain • Value of fertility decline • Environmental benefits • The problem of double counting
Cost versus benefits 2 • WTP > supply cost • ERRs high (20-30%) • Higher for grid extension than off-grid, for which costs higher and benefits lower
Third conclusion WTP is high enough to ensure a good ERR and financial sustainability in many cases (caveat on Africa). Grid extension economically superior to off-grid programs.
Policy implications • Good economic analysis can inform policy • Design to catch up with strategy • Smart subsidies • Consumer information • Support to productive uses • Balance grid and off-grid