WEBVTT 1 00:00:00.820 --> 00:00:01.170 Zineb, 2 00:00:01.170 --> 00:00:06.130 just explain to me why climate change and climate action should have a 3 00:00:06.130 --> 00:00:07.450 disproportionate effect on women. 4 00:00:08.100 --> 00:00:10.010 So climate change to start with... 5 00:00:11.050 --> 00:00:16.010 we now have evidence that women will be disproportionately impacted by 6 00:00:16.010 --> 00:00:19.450 climate change because they tend to be more vulnerable, 7 00:00:20.980 --> 00:00:24.650 so they're less equipped to deal with climate change. I can give you... 8 00:00:24.970 --> 00:00:27.650 there are three numbers that tell the story quite well. 9 00:00:27.840 --> 00:00:32.610 Number one is 80% of the people that were displaced by 10 00:00:32.610 --> 00:00:35.810 climate disasters in 2015 were women. 11 00:00:36.720 --> 00:00:41.450 Second number - 12 million girls are at risk 12 00:00:41.660 --> 00:00:46.130 of school dropouts because of climate disaster, 13 00:00:46.130 --> 00:00:50.690 and that is each year, so 12 million girls each year. Why is that? 14 00:00:50.690 --> 00:00:53.090 Because when these climate disasters happen, 15 00:00:53.100 --> 00:00:57.930 we realize that families actually favor boys to 16 00:00:57.930 --> 00:00:59.530 stay at school rather than their girls. 17 00:00:59.750 --> 00:01:04.570 And then the third number is 60% of sub-Saharan women 18 00:01:04.920 --> 00:01:06.330 work in agriculture, 19 00:01:06.330 --> 00:01:10.890 and we know how much agriculture is going to be disrupted with the droughts, 20 00:01:11.970 --> 00:01:16.690 the floods, et cetera. So we know that the productivity, 21 00:01:16.870 --> 00:01:20.090 but also the income of these women is highly at risk. 22 00:01:20.090 --> 00:01:24.610 So actually climate change will have a higher burden 23 00:01:24.780 --> 00:01:27.930 on women when it comes to their health, their education, 24 00:01:28.330 --> 00:01:30.130 their income level, 25 00:01:30.130 --> 00:01:34.650 even their own survival is more at risk. You've spoken about climate change 26 00:01:34.650 --> 00:01:38.410 disproportionately affecting women, but also climate action as well. 27 00:01:38.740 --> 00:01:39.890 Through your work, 28 00:01:39.890 --> 00:01:44.130 you've found that it sets back gender equity by 15 to 20 years. 29 00:01:44.130 --> 00:01:48.370 Tell me more about that. This is counterintuitive, right? 30 00:01:48.370 --> 00:01:52.930 Because climate action is all the efforts we're making to build a better planet 31 00:01:52.930 --> 00:01:53.700 for everyone. 32 00:01:53.700 --> 00:01:57.730 So it is counterintuitive to say that this has a negative impact on women. 33 00:01:57.730 --> 00:02:01.290 So let me explain. Obviously women as well as men, 34 00:02:01.290 --> 00:02:02.970 even more than men in some aspects, 35 00:02:02.970 --> 00:02:07.170 will benefit from living in a more sustainable planet. Their education, 36 00:02:07.170 --> 00:02:09.130 their health, their livelihoods will improve. 37 00:02:09.430 --> 00:02:14.330 But what our research has found out is that women might also be at risk 38 00:02:14.340 --> 00:02:18.970 of missing out on the green economy's massive investments and job opportunities, 39 00:02:18.970 --> 00:02:21.890 or at least some of them. Jobs, for example: 40 00:02:22.100 --> 00:02:27.090 we know that the green economy will be creating 65 million green jobs 41 00:02:27.220 --> 00:02:31.700 by 2030. These jobs, the highest paid, the more stable ones, 42 00:02:31.700 --> 00:02:35.380 require what we call STEM education. That's science, technology, engineering, 43 00:02:35.380 --> 00:02:36.040 mathematics. 44 00:02:36.040 --> 00:02:40.580 And women today only represent 35% of STEM students globally. So 45 00:02:40.610 --> 00:02:45.020 they are clearly at risk of missing out on these opportunities. Second example, 46 00:02:45.500 --> 00:02:50.020 companies in highly emitting sectors such as energy, building materials, 47 00:02:50.020 --> 00:02:53.980 industrial goods, will be spending as much as $500 billion 48 00:02:55.630 --> 00:03:00.120 by 2030 to upskill their employees, 49 00:03:00.120 --> 00:03:02.440 meaning to get them green skills. 50 00:03:03.500 --> 00:03:08.040 And the problem is these industries are male dominated, 51 00:03:08.040 --> 00:03:09.360 historically male dominated. 52 00:03:09.360 --> 00:03:13.720 So mechanically women are less likely to benefit from this retraining, 53 00:03:14.040 --> 00:03:18.720 again, widening the skill gap between men and women. And then entrepreneurship. 54 00:03:19.890 --> 00:03:24.360 We know that female entrepreneurs get less access to funding than male 55 00:03:24.360 --> 00:03:25.193 entrepreneurs. 56 00:03:25.760 --> 00:03:29.760 This is even more true when it comes to green tech. 57 00:03:29.930 --> 00:03:34.680 So there are already a few clues to the fact that 58 00:03:34.770 --> 00:03:36.480 if we do not do it right, 59 00:03:36.930 --> 00:03:41.760 climate action could also be widening the gap between men and women. 60 00:03:41.760 --> 00:03:43.840 And this is of course not the intention. 61 00:03:44.530 --> 00:03:47.640 So what are the solutions? Can we have it all? 62 00:03:47.640 --> 00:03:49.640 Can we have sustainability and gender equality? 63 00:03:50.020 --> 00:03:51.280 Yes, we do. Actually, 64 00:03:51.280 --> 00:03:54.800 you could even argue that you cannot do one without the other. 65 00:03:54.800 --> 00:03:59.560 Both are extremely interlinked. So the solutions, number one, 66 00:03:59.560 --> 00:04:02.320 is we need to tackle what we discussed in our first question, 67 00:04:02.320 --> 00:04:05.040 meaning we need to have enough investments, 68 00:04:05.110 --> 00:04:09.720 enough projects that support women in better mitigating 69 00:04:09.740 --> 00:04:14.120 the impact of climate change on them. And that means supporting women, 70 00:04:14.250 --> 00:04:19.000 in knowledge, in new regenerative agricultural techniques, 71 00:04:19.080 --> 00:04:22.080 but also helping them to get better financing, 72 00:04:22.080 --> 00:04:26.440 maybe even reorient their jobs to be in 73 00:04:27.000 --> 00:04:30.440 jobs that are, say, less impacted by climate change, for example. 74 00:04:30.440 --> 00:04:34.960 And this is what a lot of the conversations in COP today are about 75 00:04:35.760 --> 00:04:37.840 because today is gender day, obviously. 76 00:04:38.180 --> 00:04:41.240 And then there is the second part that we don't talk about much, 77 00:04:41.240 --> 00:04:42.320 but that is starting, 78 00:04:42.320 --> 00:04:46.640 which is bringing intentionality to 79 00:04:47.020 --> 00:04:48.280 the other projects, 80 00:04:48.280 --> 00:04:51.880 the other green projects that are not specifically targeting women, 81 00:04:51.880 --> 00:04:56.840 because we think that because we're doing projects for men and women, 82 00:04:56.840 --> 00:04:58.760 then both will benefit equally. 83 00:04:58.760 --> 00:05:01.440 But history has shown us that this doesn't happen. 84 00:05:01.440 --> 00:05:06.040 So we need to intentionally embed what we call a gender lens 85 00:05:06.130 --> 00:05:10.840 in all of these projects to make sure that women will benefit as well as 86 00:05:10.840 --> 00:05:13.120 men. And actually, 87 00:05:13.120 --> 00:05:17.280 this is a win-win because when women are involved in 88 00:05:17.920 --> 00:05:21.880 climate action, this has a positive ripple effect on the planet. 89 00:05:21.880 --> 00:05:25.760 There are multiple evidence on the fact that when women are in negotiation 90 00:05:25.760 --> 00:05:30.120 tables or that are, for example, mayors of big cities, 91 00:05:30.150 --> 00:05:34.520 then climate action is even more effective. 92 00:05:35.070 --> 00:05:36.400 Zineb, thank you so much. 93 00:05:36.610 --> 00:05:37.200 My pleasure.