WEBVTT 1 00:00:00.208 --> 00:00:05.672 Right now we have a trade off between scale, simplicity and effectiveness, 2 00:00:05.672 --> 00:00:11.386 and the goals and the solutions that we're looking to identify will break this 3 00:00:11.386 --> 00:00:12.137 trade off. 4 00:00:12.679 --> 00:00:14.139 Doug, thank you so much for being here. 5 00:00:14.347 --> 00:00:17.559 Why do you think blended finance is so critical when it comes to a just 6 00:00:17.559 --> 00:00:18.059 transition? 7 00:00:18.768 --> 00:00:21.896 Well, Lisa, a just transition involves both social 8 00:00:21.896 --> 00:00:24.607 objectives and climate objectives together. 9 00:00:26.151 --> 00:00:29.863 And climate is often financeable at a market rate. 10 00:00:30.488 --> 00:00:33.908 When you add the social elements in, it often is not. 11 00:00:34.826 --> 00:00:38.121 And with the decline in official development assistance, 12 00:00:38.121 --> 00:00:41.541 everybody is realizing that more has to be done with less. 13 00:00:42.250 --> 00:00:46.796 So what blended finance does, it allows people that have goals around 14 00:00:46.796 --> 00:00:51.468 social to be able to put their money in at perhaps a concessional rate, 15 00:00:51.468 --> 00:00:56.514 which blends in with those that are investing towards the climate transition. 16 00:00:56.806 --> 00:01:00.643 What are some of the biggest challenges you've seen when using blended finance 17 00:01:00.643 --> 00:01:02.103 and adjust transition context? 18 00:01:02.771 --> 00:01:05.690 Well, blended finance itself is complicated. 19 00:01:05.899 --> 00:01:08.943 In the context of just transition, it's even more. 20 00:01:08.943 --> 00:01:10.862 And there's really 5 reasons for that. 21 00:01:11.279 --> 00:01:14.199 First, because you're trying to achieve multiple 22 00:01:14.199 --> 00:01:17.327 sustainable development goals all at the same time, 23 00:01:17.327 --> 00:01:21.956 it adds to the complexity and to the length of time that it takes to create a 24 00:01:21.956 --> 00:01:23.541 fund or execute a project. 25 00:01:24.918 --> 00:01:28.129 Second, because you're trying to achieve multiple 26 00:01:28.129 --> 00:01:32.175 sustainable development goals, some of those are generally less 27 00:01:32.175 --> 00:01:33.718 financeable than others. 28 00:01:33.718 --> 00:01:36.721 For example, climate might be more financeable, 29 00:01:36.721 --> 00:01:41.184 the social goals might be less, so you generally need more catalytic or 30 00:01:41.184 --> 00:01:43.061 cassette concessional finance. 31 00:01:44.354 --> 00:01:48.942 A third reason is that this is so complicated for the big institutional 32 00:01:48.942 --> 00:01:49.567 investors. 33 00:01:50.026 --> 00:01:55.073 A typical pension fund, for example, doesn't have an asset allocation model 34 00:01:55.073 --> 00:02:00.370 that will include blended finance or even understand what a just transition is. 35 00:02:00.745 --> 00:02:06.459 A fourth reason is that the programmatic constraints of many of the traditional 36 00:02:06.459 --> 00:02:12.048 providers of philanthropic capital tend to limit the scalability of the funds 37 00:02:12.048 --> 00:02:14.134 that we are trying to create. 38 00:02:15.009 --> 00:02:18.012 And 5th and finally, we're trying to create impact. 39 00:02:18.721 --> 00:02:23.560 And the impact that you need to create with one particular community or one 40 00:02:23.560 --> 00:02:27.981 particular stakeholder group is going to be different from the other, 41 00:02:27.981 --> 00:02:31.985 which means you have to have multiple targets, multiple goals, 42 00:02:31.985 --> 00:02:35.405 which again increases the complexity, scale and cost. 43 00:02:36.072 --> 00:02:37.699 So Doug, what does this all come down to? 44 00:02:38.199 --> 00:02:42.287 Well, ultimately, right now we have a trade off between 45 00:02:42.287 --> 00:02:45.540 scale, simplicity and effectiveness and the 46 00:02:45.540 --> 00:02:51.171 goals and the solutions that we're looking to identify will break this trade 47 00:02:51.171 --> 00:02:51.462 off. 48 00:02:51.546 --> 00:02:52.547 Doug, thank you so much. 49 00:02:52.589 --> 00:02:53.256 Thank you, Lisa.