Difference between revisions of "Productive Uses of Energy in Humanitarian Contexts - Q&A"

From energypedia
***** (***** | *****)
***** (***** | *****)
m
 
Line 1: Line 1:
 
This page documents the questions that were asked during the webinar:&nbsp;[[Webinar Series: Sustainable Energy in Humanitarian Settings#Oct 2020|Productive Uses of Energy in Humanitarian Contexts]]<br/>
 
This page documents the questions that were asked during the webinar:&nbsp;[[Webinar Series: Sustainable Energy in Humanitarian Settings#Oct 2020|Productive Uses of Energy in Humanitarian Contexts]]<br/>
 
 
 
==== Questions Asked to all Speakers<br/> ====
 
==== Questions Asked to all Speakers<br/> ====
  
Line 15: Line 13:
  
 
The graph is an example of the type of data that is being collected to understand the performance of the business being supported and to guide decision making and adaptations for ongoing support. It shows the fluctuations in profit over time and particularly illustrates the impact of COVID restrictions on businesses owned by females and males. This has led to specific strategies for supporting businesses to address the challenges presented by COVID, discussed in more detail on Slide 10.
 
The graph is an example of the type of data that is being collected to understand the performance of the business being supported and to guide decision making and adaptations for ongoing support. It shows the fluctuations in profit over time and particularly illustrates the impact of COVID restrictions on businesses owned by females and males. This has led to specific strategies for supporting businesses to address the challenges presented by COVID, discussed in more detail on Slide 10.
 
<br/>
 
  
 
*<span style="color:#008080">What successes were learned that can be scaled to 1,000s of households in many camps&nbsp;? By what 'actors'?</span>
 
*<span style="color:#008080">What successes were learned that can be scaled to 1,000s of households in many camps&nbsp;? By what 'actors'?</span>
Line 28: Line 24:
 
These were split as follows:  
 
These were split as follows:  
  
Bars - 43  
+
* Bars - 43  
 
+
* Barbershops - 15  
Barbershops - 15  
+
* Carpentry - 4  
 
+
* Food kiosk - 33  
Carpentry - 4  
+
* Hair salon - 6  
 
+
* ICT - 6  
Food kiosk - 33  
+
* Milling - 1  
 
+
* Other - 40  
Hair salon - 6  
+
* Retail kiosk - 158  
 
+
* Tailoring - 22  
ICT - 6  
+
* TV/cinema - 4  
 
+
* Welding - 2
Milling - 1  
 
 
 
Other - 40  
 
 
 
Retail kiosk - 158  
 
 
 
Tailoring - 22  
 
 
 
TV/cinema - 4  
 
 
 
Welding - 2
 
  
 
The PUE work presented in the webinar supported 150 of these enterprises and included both existing enterprises and start-ups
 
The PUE work presented in the webinar supported 150 of these enterprises and included both existing enterprises and start-ups

Latest revision as of 14:41, 4 October 2021

This page documents the questions that were asked during the webinar: Productive Uses of Energy in Humanitarian Contexts

Questions Asked to all Speakers

  • What is the major source of power for PUE? Only solar power or as you say we also use diesel generators and other sources?

RE4R (PA+E4I) - it’s a mix of SHS and national grid connections, depending on the location of the enterprise and the type of business/appliances used.

  • Why with 150 businesses getting mentorship only 92 appliances where acquired?

It’s 92 appliances so far. There have been some delays due to COVID restrictions in the camps and more businesses will acquire appliances over the course of the project.

  • Could either of you explain the gender based profit graph again? In terms of rationale of showcasing it and what were your inferences from it?

The graph is an example of the type of data that is being collected to understand the performance of the business being supported and to guide decision making and adaptations for ongoing support. It shows the fluctuations in profit over time and particularly illustrates the impact of COVID restrictions on businesses owned by females and males. This has led to specific strategies for supporting businesses to address the challenges presented by COVID, discussed in more detail on Slide 10.

  • What successes were learned that can be scaled to 1,000s of households in many camps ? By what 'actors'?

The PUE component of RE4R is focused on energy for enterprises using electrical rather than households. We have other interventions on the project that have focused on addressing energy access and strengthening economic activities for a greater number of households that aren’t necessarily tied directly to the use of electrical appliances.

  • Three and a half years into the 5 year project what approximate percentage of the €10 million IKEA Foundation grant went to the PUE part of the project? This is important to know to understand cost effectiveness and reproducibility.

The EUR 10M grant is split between PA and UNHCR. Of the proportion that was granted to PA, approx 5% was granted to the PUE for livelihoods scope in Rwanda presented in this webinar. However, many of the other interventions within the project in both Rwanda and Jordan also contribute to livelihood outcomes and this is one of the KPIs for the project. What type of businesses were existing already in the refugee camps? A mapping exercise was completed at the start of the PUE component and 334 enterprises were evaluated both inside the camps and in host communities.

These were split as follows:

  • Bars - 43
  • Barbershops - 15
  • Carpentry - 4
  • Food kiosk - 33
  • Hair salon - 6
  • ICT - 6
  • Milling - 1
  • Other - 40
  • Retail kiosk - 158
  • Tailoring - 22
  • TV/cinema - 4
  • Welding - 2

The PUE work presented in the webinar supported 150 of these enterprises and included both existing enterprises and start-ups