WEBVTT e6e22a33-ba80-49b1-abf9-6562401e74c8-0 00:00:00.040 --> 00:00:04.960 So MDBs and DFIs have a certain level of trust by virtue of who owns them and how e6e22a33-ba80-49b1-abf9-6562401e74c8-1 00:00:04.960 --> 00:00:06.040 they were created. 1064af64-61e8-4074-af8d-60b35cfedf1c-0 00:00:06.440 --> 00:00:10.720 And they are a neutral party in between the public sector and the private sector. e2248e81-ed5e-4d79-bab9-462746b66161-0 00:00:10.720 --> 00:00:13.891 And as a result, I think they have the capacity to help us e2248e81-ed5e-4d79-bab9-462746b66161-1 00:00:13.891 --> 00:00:17.923 deliver in development finance and blended finance in ways that we haven't e2248e81-ed5e-4d79-bab9-462746b66161-2 00:00:17.923 --> 00:00:19.159 thought of in the past. ae70f1e2-5590-4c47-b38e-b4e8f973bed1-0 00:00:19.440 --> 00:00:21.320 Stephanie, thank you so much for joining us. d17ab84f-582a-4c56-a17f-3a21ac85d192-0 00:00:21.640 --> 00:00:26.120 Why are development finance institutions so critical to scaling blended finance? f3ff16d8-47a1-462c-93e7-bdef2b2d8724-0 00:00:26.320 --> 00:00:29.400 We have to crawl, then we have to walk, and then we have to run. 2e049cea-0e0d-4711-aa74-7827f859a74a-0 00:00:29.960 --> 00:00:34.041 Development finance institutions can actually help us go from crawling to 2e049cea-0e0d-4711-aa74-7827f859a74a-1 00:00:34.041 --> 00:00:35.200 walking a lot faster. 2e84c6a7-580e-450b-9a4a-fe0078312767-0 00:00:35.280 --> 00:00:38.614 They have boots on the ground, they understand the environments, 2e84c6a7-580e-450b-9a4a-fe0078312767-1 00:00:38.614 --> 00:00:42.564 and they can take their various skill sets and put them to work in ways that 2e84c6a7-580e-450b-9a4a-fe0078312767-2 00:00:42.564 --> 00:00:44.360 the private sector typically can't. 24789636-0634-4634-addd-d5e22e70d4c5-0 00:00:44.400 --> 00:00:49.386 So the best example that I can give you is thinking about scale and whether or 24789636-0634-4634-addd-d5e22e70d4c5-1 00:00:49.386 --> 00:00:51.280 not they can create platforms. 0e8382a8-579f-4116-9dc5-32aae1b04798-0 00:00:51.560 --> 00:00:55.954 When I was at the World Bank Group, we created something called Scaling Solar, 0e8382a8-579f-4116-9dc5-32aae1b04798-1 00:00:55.954 --> 00:00:58.623 which was a model that would go into a country, 0e8382a8-579f-4116-9dc5-32aae1b04798-2 00:00:58.623 --> 00:01:02.183 help the government with the policy and regulatory environment, 0e8382a8-579f-4116-9dc5-32aae1b04798-3 00:01:02.183 --> 00:01:05.576 help find the land, and then create documents that were both 0e8382a8-579f-4116-9dc5-32aae1b04798-4 00:01:05.576 --> 00:01:06.799 documents to be bid on 84606796-b4fa-45fe-8eae-1c91b6ed7235-0 00:01:06.800 --> 00:01:09.902 and then documents for the financing that were standardized, 84606796-b4fa-45fe-8eae-1c91b6ed7235-1 00:01:09.902 --> 00:01:13.565 so that investors from all over the world—and the best investors in the 84606796-b4fa-45fe-8eae-1c91b6ed7235-2 00:01:13.565 --> 00:01:15.600 world—would come in and invest in solar. fd707b64-e109-4772-93fc-8fc5d792166a-0 00:01:15.880 --> 00:01:19.821 We started in Zambia and went through Africa and into Central and Eastern fd707b64-e109-4772-93fc-8fc5d792166a-1 00:01:19.821 --> 00:01:22.377 Europe, and by the time we got to Central Asia, fd707b64-e109-4772-93fc-8fc5d792166a-2 00:01:22.377 --> 00:01:25.520 we were down at like one-and-a-half cents a kilowatt-hour. c15adf0d-6def-4c0d-bb52-b874799106a7-0 00:01:25.520 --> 00:01:30.677 So an incredible way to use their convening power, their knowledge, c15adf0d-6def-4c0d-bb52-b874799106a7-1 00:01:30.677 --> 00:01:31.360 to scale. b5dbbd2c-f11d-4b0a-b73f-f9d436df712a-0 00:01:32.200 --> 00:01:35.400 What is the role of trust and credibility in all this? df9a3a0d-de8c-44e9-90bc-57874e1f373b-0 00:01:36.040 --> 00:01:40.960 So MDBs and DFIs have a certain level of trust by virtue of who owns them and how df9a3a0d-de8c-44e9-90bc-57874e1f373b-1 00:01:40.960 --> 00:01:42.040 they were created. 092ad7a0-e597-4a2d-9a19-a5dd8f4d4030-0 00:01:42.440 --> 00:01:46.760 And they are a neutral party in between the public sector and the private sector. 8f4a30f0-cdc4-43f1-9318-6731e86c5142-0 00:01:46.760 --> 00:01:49.931 And as a result, I think they have the capacity to help us 8f4a30f0-cdc4-43f1-9318-6731e86c5142-1 00:01:49.931 --> 00:01:53.963 deliver in development finance and blended finance in ways that we haven't 8f4a30f0-cdc4-43f1-9318-6731e86c5142-2 00:01:53.963 --> 00:01:55.199 thought of in the past. f51bffc3-83d3-4950-80e1-ab30973a1bfe-0 00:01:55.560 --> 00:02:00.542 So one of the things we've been hearing a lot about is how do we get high-net-worth f51bffc3-83d3-4950-80e1-ab30973a1bfe-1 00:02:00.542 --> 00:02:04.280 individuals and family offices into the blended finance space? 23d1ae80-b50f-4ddd-ae2a-7db971a15c6e-0 00:02:04.280 --> 00:02:07.448 Many of them are interested, but they're interested in very small 23d1ae80-b50f-4ddd-ae2a-7db971a15c6e-1 00:02:07.448 --> 00:02:10.376 bites at the apple, kind of sticking their toes in the water 23d1ae80-b50f-4ddd-ae2a-7db971a15c6e-2 00:02:10.376 --> 00:02:13.256 and figuring out, does this actually match my philanthropic 23d1ae80-b50f-4ddd-ae2a-7db971a15c6e-3 00:02:13.256 --> 00:02:13.640 desires, 333208a9-2862-4156-969b-e62c1740564e-0 00:02:13.640 --> 00:02:15.120 is this something I really want to do— 92c18b8c-8068-4ae8-b0f3-493f757b549f-0 00:02:15.120 --> 00:02:18.941 and it's complicated. Using the MDBs and their ability to 92c18b8c-8068-4ae8-b0f3-493f757b549f-1 00:02:18.941 --> 00:02:24.279 amalgamate those kinds of funds under one umbrella—with the very distinct we can 92c18b8c-8068-4ae8-b0f3-493f757b549f-2 00:02:24.279 --> 00:02:28.496 implement, we can monitor, and we can measure with the level of 92c18b8c-8068-4ae8-b0f3-493f757b549f-3 00:02:28.496 --> 00:02:30.999 trust that other people wouldn't have— a2b4c152-a82d-4f3b-8a5e-b3f44e0e5605-0 00:02:31.000 --> 00:02:36.511 I think is a super interesting way to use them to build out different models for a2b4c152-a82d-4f3b-8a5e-b3f44e0e5605-1 00:02:36.511 --> 00:02:37.600 blended finance. a0cb84f2-a193-4cd2-8557-c486ad25958b-0 00:02:38.240 --> 00:02:39.160 Thank you so much.