WEBVTT 1 00:00:00.480 --> 00:00:02.490 Hello, and greetings from New York. 2 00:00:02.490 --> 00:00:04.350 I'm here today with Meg Starr, 3 00:00:04.350 --> 00:00:07.110 who's the Global Head of Impact at the Carlyle Group. 4 00:00:07.110 --> 00:00:08.490 And we're meeting one year on 5 00:00:08.490 --> 00:00:11.463 from the formation of the ESG Data Convergence Initiative. 6 00:00:11.463 --> 00:00:14.820 Meg, it's fantastic to be in conversation today. 7 00:00:14.820 --> 00:00:17.220 And it's exciting to see the private equity industry 8 00:00:17.220 --> 00:00:19.761 converge around these meaningful ESG metrics 9 00:00:19.761 --> 00:00:24.761 and generate comparable, useful, performance-based ESG data 10 00:00:24.930 --> 00:00:26.280 for the private markets. 11 00:00:26.280 --> 00:00:28.380 How's the inaugural year been for you? 12 00:00:28.380 --> 00:00:31.050 Honestly, the inaugural year has surpassed, I think, 13 00:00:31.050 --> 00:00:33.559 our wildest dreams when we set out to work on this problem. 14 00:00:33.559 --> 00:00:37.231 And so we're now a community of more than 215 GPs 15 00:00:37.231 --> 00:00:39.660 and LPs globally who have come together 16 00:00:39.660 --> 00:00:41.203 to work on this initiative. 17 00:00:41.203 --> 00:00:42.840 I think what's most important 18 00:00:42.840 --> 00:00:45.720 is that this was built by and for the industry. 19 00:00:45.720 --> 00:00:47.550 And I think that's why it has staying power 20 00:00:47.550 --> 00:00:49.361 and that's why it has grown so rapidly. 21 00:00:49.361 --> 00:00:51.270 We've been crunching the data, 22 00:00:51.270 --> 00:00:53.580 developing it into a benchmark, which we've shared back 23 00:00:53.580 --> 00:00:56.491 with all participating GPs and LPs in the Initiative. 24 00:00:56.491 --> 00:00:57.810 I don't think any of us imagined 25 00:00:57.810 --> 00:01:00.240 that we would be in a place where we've got 100 GPs 26 00:01:00.240 --> 00:01:02.040 that have been collecting and sharing data 27 00:01:02.040 --> 00:01:04.530 from 2,000 portfolio companies, 28 00:01:04.530 --> 00:01:07.620 I think 22,500 ESG data points. 29 00:01:07.620 --> 00:01:08.760 I think this is unprecedented 30 00:01:08.760 --> 00:01:11.160 in terms of ESG data in the private markets. 31 00:01:11.160 --> 00:01:14.198 That was a crazy idea we set out to work on. 32 00:01:14.198 --> 00:01:17.520 We have benchmarking in public markets for ESG data, 33 00:01:17.520 --> 00:01:19.080 but we've never had a benchmark 34 00:01:19.080 --> 00:01:20.850 in private market data before. 35 00:01:20.850 --> 00:01:23.070 One of the most exciting data points that came out, 36 00:01:23.070 --> 00:01:26.328 even in this first year of data which is more preliminary, 37 00:01:26.328 --> 00:01:28.163 was around job creation. 38 00:01:28.163 --> 00:01:30.050 I think a popular narrative around private equity 39 00:01:30.050 --> 00:01:33.240 as an asset class is that private equity investors come in 40 00:01:33.240 --> 00:01:35.190 and they make money by stripping out companies. 41 00:01:35.190 --> 00:01:38.056 And frequently that can have negative impacts on jobs, 42 00:01:38.056 --> 00:01:39.741 or so the narrative goes. 43 00:01:39.741 --> 00:01:42.706 And what we found in the data, of these 2,000 private 44 00:01:42.706 --> 00:01:45.420 companies, is actually, it's quite the reverse. 45 00:01:45.420 --> 00:01:47.280 When you normalize for headcount, 46 00:01:47.280 --> 00:01:49.440 private equity companies create jobs 47 00:01:49.440 --> 00:01:51.390 at almost two to three times the rate 48 00:01:51.390 --> 00:01:53.310 of public market peers. 49 00:01:53.310 --> 00:01:55.080 I think we also found it interesting to see, 50 00:01:55.080 --> 00:01:57.060 for the first time in the data, 51 00:01:57.060 --> 00:01:58.920 that on average, private companies 52 00:01:58.920 --> 00:02:01.530 have been lagging their public peers 53 00:02:01.530 --> 00:02:03.840 on things like renewable energy usage, 54 00:02:03.840 --> 00:02:06.330 board diversity, other metrics. 55 00:02:06.330 --> 00:02:08.160 The initial data that we have shows 56 00:02:08.160 --> 00:02:11.906 that private equity funds can be very powerful 57 00:02:11.906 --> 00:02:14.715 in driving change within their portfolio companies. 58 00:02:14.715 --> 00:02:16.380 I think if we looked at renewable energy, 59 00:02:16.380 --> 00:02:17.430 in just a couple of years, 60 00:02:17.430 --> 00:02:19.830 you've seen some really, really stark improvements 61 00:02:19.830 --> 00:02:20.910 in renewable energy usage, 62 00:02:20.910 --> 00:02:22.620 where you have been tracking data. 63 00:02:22.620 --> 00:02:24.336 And that for me just speaks to the power 64 00:02:24.336 --> 00:02:25.564 of the private equity investment model. 65 00:02:25.564 --> 00:02:27.900 You have often ownership control positions. 66 00:02:27.900 --> 00:02:29.730 You have a long term mindset, 67 00:02:29.730 --> 00:02:32.430 you can focus in on what matters and drive change. 68 00:02:32.430 --> 00:02:33.810 Yeah, and I think that's important, Ben, 69 00:02:33.810 --> 00:02:37.350 because this isn't intended to sugarcoat private equity. 70 00:02:37.350 --> 00:02:39.000 And we want to be clear about the areas 71 00:02:39.000 --> 00:02:41.279 where a performance doesn't match up to public markets. 72 00:02:41.279 --> 00:02:43.200 But I think your point is an important one, 73 00:02:43.200 --> 00:02:44.940 where it's not necessarily 74 00:02:44.940 --> 00:02:46.890 about the maturity of private companies 75 00:02:46.890 --> 00:02:48.240 when we invest in them. 76 00:02:48.240 --> 00:02:50.220 It's what we can do over our hold period. 77 00:02:50.220 --> 00:02:52.503 And so I think understanding where we might be lagging 78 00:02:52.503 --> 00:02:56.010 on things like board diversity, A, that's an opportunity 79 00:02:56.010 --> 00:02:58.503 for private equity GPs to really differentiate themselves 80 00:02:58.503 --> 00:03:01.020 by excelling ahead of the pack. 81 00:03:01.020 --> 00:03:03.936 But B, it's a real area of potential improvement 82 00:03:03.936 --> 00:03:05.880 when there's that much of a delta to be had. 83 00:03:05.880 --> 00:03:07.950 And so I think it's important to show 84 00:03:07.950 --> 00:03:10.320 where private equity is excelling, where it's not, 85 00:03:10.320 --> 00:03:13.220 but importantly, what change is possible over a hold period. 86 00:03:13.220 --> 00:03:15.724 And this benchmark's going to be a really important tool 87 00:03:15.724 --> 00:03:17.250 in the toolbox for GPs. 88 00:03:17.250 --> 00:03:19.500 As they're engaging with their portfolio companies, 89 00:03:19.500 --> 00:03:21.636 how can you be kind of helping those management teams 90 00:03:21.636 --> 00:03:22.620 to drive change? 91 00:03:22.620 --> 00:03:26.299 One of the best tools we have is peer-set comparisons. 92 00:03:26.299 --> 00:03:28.110 And when we work with management teams 93 00:03:28.110 --> 00:03:29.552 of our private companies, 94 00:03:29.552 --> 00:03:32.019 one of the best ways to incentivize action 95 00:03:32.019 --> 00:03:34.470 is to show them how they stack up to peers. 96 00:03:34.470 --> 00:03:36.090 And before, we didn't have a relevant 97 00:03:36.090 --> 00:03:37.470 private market data set. 98 00:03:37.470 --> 00:03:38.970 We had some public market comps, 99 00:03:38.970 --> 00:03:41.659 so you could try to cobble together some context-setting, 100 00:03:41.659 --> 00:03:43.740 but now, being able to show a management team, 101 00:03:43.740 --> 00:03:45.794 look, you're behind the industry on XYZ, 102 00:03:45.794 --> 00:03:47.880 or you're behind your relevant peer set, 103 00:03:47.880 --> 00:03:50.731 it's one of the best carrots we have to be driving change. 104 00:03:50.731 --> 00:03:53.280 What's next for the Initiative in 2023? 105 00:03:53.280 --> 00:03:55.159 Well, I'm very excited about what's next. 106 00:03:55.159 --> 00:03:58.020 We set up the Initiative to continue to be governed 107 00:03:58.020 --> 00:04:00.116 and led by GPs and LPs. 108 00:04:00.116 --> 00:04:03.681 And the intention is we do a sprint process every year 109 00:04:03.681 --> 00:04:05.460 after data collection is closed. 110 00:04:05.460 --> 00:04:07.680 We want to understand what we learned, what went well, 111 00:04:07.680 --> 00:04:10.693 what we might need to change, but more importantly, 112 00:04:10.693 --> 00:04:13.260 are there one or two metrics that we could all agree 113 00:04:13.260 --> 00:04:15.544 to add to our data collection for the next year? 114 00:04:15.544 --> 00:04:17.045 So we can incrementally 115 00:04:17.045 --> 00:04:20.116 and carefully build out a more robust data set. 116 00:04:20.116 --> 00:04:21.480 So we just completed the sprint 117 00:04:21.480 --> 00:04:23.160 for this first inaugural year, 118 00:04:23.160 --> 00:04:26.601 and we decided to add an additional metric on diversity. 119 00:04:26.601 --> 00:04:28.080 We'd started with board diversity, 120 00:04:28.080 --> 00:04:29.710 and we decided to add a metric 121 00:04:29.710 --> 00:04:32.040 around gender diversity at the C-suite. 122 00:04:32.040 --> 00:04:33.960 There's also a lot of energy for future years 123 00:04:33.960 --> 00:04:36.480 around metrics such as net-zero alignment. 124 00:04:36.480 --> 00:04:38.040 So a lot of interesting topics 125 00:04:38.040 --> 00:04:40.470 for the group to explore potentially adding, 126 00:04:40.470 --> 00:04:42.060 but we want to make sure that we are doing it 127 00:04:42.060 --> 00:04:44.100 in a way that enables GPs 128 00:04:44.100 --> 00:04:46.323 to continue collecting robust data.