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Energy Poverty Assessment Minutes of proceedings Day 4 Data Analysis

Energy Poverty Assessment Minutes of proceedings Day 4 Data Analysis

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Page 1: Energy Poverty Assessment Minutes of proceedings Day 4 Data Analysis

Energy Poverty Assessment

Minutes of proceedings

Day 4

Data Analysis

Page 2: Energy Poverty Assessment Minutes of proceedings Day 4 Data Analysis

Presentation of results from Interviews

• Lasten’s presentation

Page 3: Energy Poverty Assessment Minutes of proceedings Day 4 Data Analysis

Magi’s presentation• Project team focus• Fully participatory analysis• When and what to analyse?• You may assess ethical concerns but not the methods• Analysis is done at least twice – analysis at the spot, and analysis of

how the tools are doing• Analysing the information – what did you want to find out in the first

place. If other issues keep cropping up from your group discussions, then you may want to look at that too so that you adjust your tool.

• What linkages and relationships keep coming up?• What is the evidence that confirms or contradicts the theory we

have come up with?• For example, the clay stove in the households surveys are outliers

and may not concern us as such – but we are also making an analysis of the unusual to see whay they are an exception.

Page 4: Energy Poverty Assessment Minutes of proceedings Day 4 Data Analysis

• Audience• Who makes the decisions? There are indunas, the Prime

Minister, the councillors, the Ward Development Committees, the Chief, etc.

• Have your audience in mind as you analyse the data.• Critically reflect what you did – what were the strengths

and weaknesses of the tools. What works well to get you the date you need. Who participated and why?

• What methods reached certain groups?• Culture – did we understand the cultural issues that were

in the area that we were in.• Focus groups – what are the issues that you would need

to focus on?• Whether there was consensus or disagreements? Issues

raised.

Page 5: Energy Poverty Assessment Minutes of proceedings Day 4 Data Analysis

• To also assess what is factual and what is an opinion – gossip and relevant information.

• Is the group making a prior positive judgement? Though they may not like the things that we are promoting they may actually

• Opposite of this are frustrations – for example they are already frustrated with other researches that were there.

• Are there group effects? Both positive and negative groups such as the members of the royal family and the members of the elderly.

• Some issues cannot be used to generalise statements about the wider community.

• Interviewing• Sampling – we debated whether that was sampling or

not? Other colleagues were directed to certain households. Did it affect anything? Not really. Given a second chance it would have been interesting to interview those villagers further away to assess access and distance issues.

Page 6: Energy Poverty Assessment Minutes of proceedings Day 4 Data Analysis

• Random sampling or systematic sampling?• A representation of the population to be able to

make inferences.• Size of sample?• Vulnerability issues that come up on issues of

poverty – why and how did you ask the question ‘who is the head of the household?’ How did you know who the decision maker was? Does the decision makers necessarily become head of household? Or is it the traditional role? Also depends on the way in which you ask the question. What you also want to do with the information about the head of the household is important.

Page 7: Energy Poverty Assessment Minutes of proceedings Day 4 Data Analysis

• Other issues about control over finance depends on cultural issues.

• Proof of causal linkages – what has changed and why? Can energy really alleviate poverty?

• Because there is now electricity, children are reading more and that is a direct result of the improvement in school.

• The case of Nyafaru.• Can you apply findings in other settings?• Similarity of areas; but more often than not,

that’s dangerous.

Page 8: Energy Poverty Assessment Minutes of proceedings Day 4 Data Analysis

• What happens when the tools do not agree? The transect walk gives different information from the interview data and the map?

• It may reflect a complexity of the issue or may reflect some problems with our tools.

• At times too much consensus also may mean people have been asked the same issue several times before so people already have an answer.

• What do multiple perspectives or observations say about what is happening?

Page 9: Energy Poverty Assessment Minutes of proceedings Day 4 Data Analysis

Joy’s presentation1. Identifying what people want changed• Emerged from the CBP workshops2. Identify MDG interventions – HH • Metabolic energy – MDG1, 3, 5. Time, Poverty• Community MDG 2,4,5,73. What are energy carriers? Matching our motivation (MDGs /

Energy poverty) with men and women.4. Use and control over energy carriers and technologies – who are

decision makers? At HH level and over the community level. Identifying control – why is this important?

5. People’s preferences for energy technologies. Involve community in selecting energy services / technologies. EPA workshop.

Page 10: Energy Poverty Assessment Minutes of proceedings Day 4 Data Analysis

Brainstorming session on energy poverty assessment workshops

Page 11: Energy Poverty Assessment Minutes of proceedings Day 4 Data Analysis

Energy Poverty Assessments

• Designing interventions

• Develop energy indicators

• Monitoring tools

• Address real needs

• Understanding local needs

• What they could be used for.

Page 12: Energy Poverty Assessment Minutes of proceedings Day 4 Data Analysis

Proposal for the first EPA workshops

Stakeholders Key Intervention

Criteria for assessing EP in local MDGs

Objectively Verifiable Indicators (OVI)

Means of Verification

MDG 1 – Hunger and Poverty Reduction

HH Hunger – cooking and eating 3 meals per day

MDG 2 – Poverty Reduction DEO

MDG 3 – Gender Gender Officers (GO)

MDG 4 – Maternal Health District Health Officers (DHOs)

What are the criteria for energy poverty in maternal health issues? Availability of pre- and post natal clinics and care to women

MDG 5 – Child Mortality District Health Officers (DHOs)

Lack of vaccines

Health clinics for children and facilities for children under

In five years time, 40%of children under five have been vaccinated.

No smoke related deaths in children under five years by 2010. Fridge; Vaccines; pumped water; cleaner cooking fuels

MDG 6 – Diseases (HIV/AIDS, TB)

District Health Officers (DHOs)

MDG 7 – Environment Forestry Commissioners; Environmental Management Agencies

MDG 8 – Partnerships

We are energising the MDGs

Page 13: Energy Poverty Assessment Minutes of proceedings Day 4 Data Analysis

Stakeholders Key Intervention

Criteria for assessing EP in local MDGs

Objectively Verifiable Indicators (OVI)

Means of Verification

MDG 5 – Child Mortality

•Lack of vaccine

Page 14: Energy Poverty Assessment Minutes of proceedings Day 4 Data Analysis

Stakeholders for EPA - Workshops

• Communities may not be the best audience for these?

• Communities may be required to give information about energy needs

• Experts may be able to articulate the services required for some institutions – then partners may have to assess the energy needs required to make these institutions energy sufficient