1 00:00:00,600 --> 00:00:04,120 Speaker 1: Already and this is the daily This is the daily 2 00:00:04,200 --> 00:00:06,920 Speaker 1: oas oh, now it makes sense. 3 00:00:15,760 --> 00:00:18,560 Speaker 2: Good morning and welcome to the Daily Ours. Happy Friday. 4 00:00:18,680 --> 00:00:20,040 Speaker 2: It is the twelfth of April. 5 00:00:20,120 --> 00:00:21,440 Speaker 3: I'm Zara, I'm Sam. 6 00:00:22,000 --> 00:00:22,799 Speaker 4: In the age of. 7 00:00:22,720 --> 00:00:26,800 Speaker 2: Fast fashion and on demand expectations of clothing all the time, 8 00:00:27,120 --> 00:00:30,720 Speaker 2: a new trend is emerging, renting. More and more people 9 00:00:30,800 --> 00:00:33,520 Speaker 2: are looking to borrow clothes or rent their own clothes out, 10 00:00:33,560 --> 00:00:38,000 Speaker 2: both for sustainability and financial reasons. In today's deep dive, 11 00:00:38,200 --> 00:00:41,120 Speaker 2: I'm speaking to doctor Lisa Lake. She's the director of 12 00:00:41,240 --> 00:00:45,320 Speaker 2: uts's Center of Excellence in Sustainable Fashion and Textiles, and 13 00:00:45,360 --> 00:00:47,200 Speaker 2: I'm going to be speaking to her about the way 14 00:00:47,320 --> 00:00:50,280 Speaker 2: her team is working to track the environmental impact of 15 00:00:50,360 --> 00:00:54,200 Speaker 2: borrowing and renting clothes. Before we get to that chat, Sam, 16 00:00:54,280 --> 00:00:55,320 Speaker 2: it's making headlines. 17 00:00:59,240 --> 00:01:03,440 Speaker 3: The Australian Actual Commission has raised concern over an anticipated 18 00:01:03,480 --> 00:01:06,600 Speaker 3: low turnout of voters at tomorrow's by election in the 19 00:01:06,640 --> 00:01:09,520 Speaker 3: Sydney seat of Cook. The seat had been held by 20 00:01:09,520 --> 00:01:12,400 Speaker 3: former Prime Minister Scott Morrison since two thousand and seven 21 00:01:12,720 --> 00:01:16,399 Speaker 3: before he quit politics in February. Early votes are down 22 00:01:16,440 --> 00:01:19,920 Speaker 3: eleven percent from the twenty twenty two federal election. It 23 00:01:19,959 --> 00:01:22,560 Speaker 3: prompted the AEC to remind voters in the seat to 24 00:01:22,600 --> 00:01:26,480 Speaker 3: cast their ballot or risk being fined. Liberal Party candidate 25 00:01:26,520 --> 00:01:29,760 Speaker 3: Simon Kennedy is expected to win Morrison's old seat. 26 00:01:32,440 --> 00:01:35,760 Speaker 2: US President Joe Biden has promised to back Israel if 27 00:01:35,760 --> 00:01:40,080 Speaker 2: Iran launches an attack against the country. Biden said the 28 00:01:40,160 --> 00:01:43,840 Speaker 2: US's commitment to Israel's security against threats from Iran and 29 00:01:43,880 --> 00:01:47,600 Speaker 2: its proxies is quote ironclad, and that his country would 30 00:01:47,600 --> 00:01:51,320 Speaker 2: do all it can to protect Israel's security. It comes 31 00:01:51,320 --> 00:01:54,960 Speaker 2: after Iran accused Israel of striking its embassy in Damascus, 32 00:01:54,960 --> 00:01:58,760 Speaker 2: the capital of Syria, earlier this month. This week, Iran's 33 00:01:58,800 --> 00:02:03,040 Speaker 2: leader Iotola alifhan Manis said when Israel attacked our consulate area, 34 00:02:03,240 --> 00:02:06,120 Speaker 2: it was like they attacked our territory, and added that 35 00:02:06,200 --> 00:02:07,600 Speaker 2: Israel will be punished. 36 00:02:09,560 --> 00:02:12,920 Speaker 3: New Soupales police have made the largest single seizure of 37 00:02:12,919 --> 00:02:17,440 Speaker 3: pharmaceutical drugs in the state's history. Officers discovered seven hundred 38 00:02:17,440 --> 00:02:19,920 Speaker 3: and twenty two kilograms of a drug sold under the 39 00:02:19,919 --> 00:02:23,120 Speaker 3: brand name Xanax in a storage container in Western Sydney 40 00:02:23,160 --> 00:02:25,680 Speaker 3: this week. The drugs were due to be sold on 41 00:02:25,720 --> 00:02:29,240 Speaker 3: the black market for an estimated twelve million bucks. As 42 00:02:29,320 --> 00:02:32,480 Speaker 3: part of the same investigation, police also seized one million 43 00:02:32,520 --> 00:02:35,280 Speaker 3: dollars in cash from a truck in the Wogga region. 44 00:02:35,560 --> 00:02:38,000 Speaker 3: The twenty eight year old driver was arrested. 45 00:02:40,600 --> 00:02:43,680 Speaker 2: And the good news Researchers in Europe are a step 46 00:02:43,720 --> 00:02:49,240 Speaker 2: closer to developing a successful urinary tract infection vaccine. A 47 00:02:49,240 --> 00:02:52,520 Speaker 2: near decade long study at the UK's Royal Berkshire Hospital 48 00:02:52,680 --> 00:02:56,720 Speaker 2: found a new spray based vaccine was able to successfully 49 00:02:56,800 --> 00:02:59,720 Speaker 2: prevent UTIs in more than half of patients for up 50 00:02:59,760 --> 00:03:03,160 Speaker 2: to time nine years. Scientists hope the vaccine could be 51 00:03:03,240 --> 00:03:08,120 Speaker 2: used as a more long lasting alternative to antibiotic UTI treatments. 52 00:03:08,160 --> 00:03:10,280 Speaker 2: Important to note, though, the study is still in its 53 00:03:10,280 --> 00:03:13,080 Speaker 2: initial phases and will present its final findings at. 54 00:03:13,000 --> 00:03:13,679 Speaker 3: The end of the year. 55 00:03:18,880 --> 00:03:21,520 Speaker 5: Hey there, I'm just popping in here. My name is 56 00:03:21,520 --> 00:03:24,639 Speaker 5: Sira and I'm the sales manager at TDA. I help 57 00:03:24,760 --> 00:03:27,720 Speaker 5: organize the sponsorships you hear on the podcast every day 58 00:03:27,840 --> 00:03:29,880 Speaker 5: and that helps fund the journalism you hear. 59 00:03:30,480 --> 00:03:31,000 Speaker 4: If you want to. 60 00:03:31,000 --> 00:03:33,280 Speaker 5: Support us, the best way to do that is by 61 00:03:33,320 --> 00:03:37,120 Speaker 5: clicking follow on Apple or Spotify. It really helps new 62 00:03:37,160 --> 00:03:40,440 Speaker 5: audiences find us. Thank you for your support and now 63 00:03:40,600 --> 00:03:41,480 Speaker 5: back to the deep. 64 00:03:41,320 --> 00:03:43,720 Speaker 4: Dive, Sam. 65 00:03:43,760 --> 00:03:46,120 Speaker 2: We have just finished what can only be called a 66 00:03:46,120 --> 00:03:50,560 Speaker 2: marathon wedding season. Every single game with Buster, every single 67 00:03:50,600 --> 00:03:53,320 Speaker 2: weekend might not be a wedding, but there's a wedding 68 00:03:53,400 --> 00:03:58,920 Speaker 2: adjacent event. Whether it be a Hen's, a Bucks tea, whatever, 69 00:03:58,960 --> 00:04:03,360 Speaker 2: it is an event that clothing clothing of the highest order. 70 00:04:03,800 --> 00:04:05,920 Speaker 2: And I think that something my friends and I have 71 00:04:06,000 --> 00:04:08,800 Speaker 2: been speaking about a lot is this pressure to have 72 00:04:09,040 --> 00:04:11,119 Speaker 2: outfits for all of these. 73 00:04:11,560 --> 00:04:12,680 Speaker 4: Many, many occasions. 74 00:04:13,040 --> 00:04:15,080 Speaker 2: And that's why I was so interested when I saw 75 00:04:15,120 --> 00:04:19,000 Speaker 2: that UTS had announced new research with The Vault, which 76 00:04:19,040 --> 00:04:21,640 Speaker 2: is a company that does peer to peer renting of clothes. 77 00:04:21,960 --> 00:04:23,800 Speaker 2: I've seen it before, a couple of my friends have 78 00:04:23,920 --> 00:04:26,320 Speaker 2: used it, and so I was really interested to see 79 00:04:26,440 --> 00:04:30,119 Speaker 2: what this research partnership was all about. Because these sorts 80 00:04:30,160 --> 00:04:33,080 Speaker 2: of rental services where you can rent your clothes out 81 00:04:33,120 --> 00:04:35,920 Speaker 2: and rent other people's clothes, they've been cropping up all 82 00:04:35,920 --> 00:04:36,560 Speaker 2: over the place. 83 00:04:36,760 --> 00:04:39,760 Speaker 3: I've seen one in America called rent the run Way, 84 00:04:39,920 --> 00:04:41,159 Speaker 3: which is a really big one, right. 85 00:04:41,080 --> 00:04:43,560 Speaker 2: Yeah, And there are many and they seem to be 86 00:04:43,640 --> 00:04:47,480 Speaker 2: really growing in popularity. But now in the Vault, we've 87 00:04:47,520 --> 00:04:50,240 Speaker 2: got a company who is actively working with an independent 88 00:04:50,360 --> 00:04:54,120 Speaker 2: University to undergo thorough research on whether or not renting 89 00:04:54,160 --> 00:04:57,039 Speaker 2: clothing is actually going to be better for the environment 90 00:04:57,440 --> 00:04:59,479 Speaker 2: than buying clothing. And I just want to stress that 91 00:04:59,600 --> 00:05:01,960 Speaker 2: because I do you think it's really interesting they have 92 00:05:02,040 --> 00:05:06,560 Speaker 2: commissioned this research and it might come out and suggest 93 00:05:07,080 --> 00:05:10,520 Speaker 2: that it's not more environmentally friendly, which could undermine the 94 00:05:10,640 --> 00:05:12,520 Speaker 2: entire business proposition of the vault. 95 00:05:12,680 --> 00:05:15,080 Speaker 4: I mean, it seems unlikely, but it's possible. 96 00:05:15,520 --> 00:05:19,040 Speaker 2: And so it's a really fascinating case study into these 97 00:05:19,120 --> 00:05:21,520 Speaker 2: kind of new businesses that are being created to solve 98 00:05:21,520 --> 00:05:24,640 Speaker 2: an environmental problem, but we don't necessarily have the data 99 00:05:24,680 --> 00:05:26,680 Speaker 2: to back it up yet. And now this is the 100 00:05:26,680 --> 00:05:29,200 Speaker 2: first time that we're going to and I do just 101 00:05:29,200 --> 00:05:31,320 Speaker 2: want to quickly set the scene for you as to 102 00:05:31,360 --> 00:05:33,880 Speaker 2: why this is an important conversation to be having, because 103 00:05:33,920 --> 00:05:36,320 Speaker 2: I think that there could be people that are listening 104 00:05:36,320 --> 00:05:39,479 Speaker 2: to this, you know, the renting and buying of dresses, 105 00:05:39,560 --> 00:05:42,279 Speaker 2: roll their eyes, say I don't care, doesn't matter to me, 106 00:05:42,440 --> 00:05:43,040 Speaker 2: but it should. 107 00:05:43,440 --> 00:05:44,719 Speaker 4: I'll tell you why tell me so. 108 00:05:44,880 --> 00:05:49,279 Speaker 2: Australia is the world's second largest consumer of textiles WOW, 109 00:05:49,320 --> 00:05:52,880 Speaker 2: and contributes over two hundred thousand tons of clothing to 110 00:05:53,000 --> 00:05:55,760 Speaker 2: landfill each year. So we've got a problem in this 111 00:05:55,800 --> 00:06:00,440 Speaker 2: country when it comes to the volume that we are assuming. 112 00:06:00,560 --> 00:06:02,640 Speaker 3: So how many items of clothing are you talking then? 113 00:06:03,000 --> 00:06:05,960 Speaker 2: So one point five billion new items of clothing are 114 00:06:06,000 --> 00:06:09,200 Speaker 2: bought per year and about one in eight items are. 115 00:06:09,120 --> 00:06:12,240 Speaker 3: Reused, so that means seven of eight are not correct. 116 00:06:12,560 --> 00:06:13,920 Speaker 4: Good maths, thank you so much. 117 00:06:14,560 --> 00:06:17,600 Speaker 2: And more than half of new clothes born in Australia 118 00:06:18,200 --> 00:06:21,039 Speaker 2: are made from synthetic materials, so things like polyester. 119 00:06:21,320 --> 00:06:23,880 Speaker 3: And the impact then is that they can't be reused 120 00:06:23,880 --> 00:06:24,760 Speaker 3: as easily. 121 00:06:24,560 --> 00:06:26,279 Speaker 4: Yes, and that that's worse for the environment. 122 00:06:26,400 --> 00:06:29,200 Speaker 3: So it's in that context, and it's in that landscape 123 00:06:29,200 --> 00:06:33,040 Speaker 3: that these rental companies are unsurprisingly popping up more and more. 124 00:06:33,360 --> 00:06:35,160 Speaker 3: And I think it is going to be really significant 125 00:06:35,160 --> 00:06:38,160 Speaker 3: to see what the research does say about whether renting 126 00:06:38,279 --> 00:06:41,200 Speaker 3: is better or the same as buying new clothes. It 127 00:06:41,200 --> 00:06:43,680 Speaker 3: seems to you know, for my unqualified research, it seems 128 00:06:43,720 --> 00:06:46,200 Speaker 3: to me that the more life you can get out 129 00:06:46,200 --> 00:06:49,040 Speaker 3: of an item, the better for the planet it will be. Yeah, 130 00:06:49,080 --> 00:06:51,480 Speaker 3: but is there much data actually on this topic. 131 00:06:51,880 --> 00:06:55,640 Speaker 2: No, I mean, in terms of this specific idea of rentals, 132 00:06:55,680 --> 00:06:58,560 Speaker 2: there's not a heap of independent data we do know 133 00:06:58,680 --> 00:07:02,120 Speaker 2: that the Vault, So again that business that is partnering 134 00:07:02,120 --> 00:07:06,440 Speaker 2: with UTS, the Vault itself has released some data that's 135 00:07:06,480 --> 00:07:09,560 Speaker 2: not from uts's own research. They haven't begun that yet, 136 00:07:09,680 --> 00:07:13,000 Speaker 2: but from that data, we know that one dress rented 137 00:07:13,040 --> 00:07:17,200 Speaker 2: to thirty nine users instead of thirty eight additional purchases 138 00:07:17,240 --> 00:07:20,480 Speaker 2: of the same garment save the equivalent carbon emissions of 139 00:07:20,520 --> 00:07:24,360 Speaker 2: five hundred and seven trees. So again that's not university 140 00:07:24,440 --> 00:07:27,600 Speaker 2: led research. That is a company saying that that's what 141 00:07:27,720 --> 00:07:31,640 Speaker 2: they've found using a publicly available calculator, but gives you 142 00:07:31,680 --> 00:07:33,480 Speaker 2: a sense of the numbers. 143 00:07:33,080 --> 00:07:34,840 Speaker 4: And the vulgme that we're talking about. 144 00:07:35,240 --> 00:07:38,040 Speaker 2: So now I want to go to the chat that 145 00:07:38,080 --> 00:07:41,120 Speaker 2: I have with Lisa. She's the director of uts's Center 146 00:07:41,160 --> 00:07:44,280 Speaker 2: of Excellence in Sustainable Fashion and Textiles, and we ch 147 00:07:44,280 --> 00:07:46,680 Speaker 2: added a bit about what this partnership is, about why 148 00:07:46,720 --> 00:07:49,800 Speaker 2: it's important, and what they're hoping to find through and 149 00:07:49,840 --> 00:07:51,960 Speaker 2: what it might mean for the industry. I know that 150 00:07:52,000 --> 00:07:53,680 Speaker 2: a lot of my friends will be really interested in 151 00:07:53,680 --> 00:07:58,760 Speaker 2: this chat. So without further ado, here's doctor Lisa. Lisa, 152 00:07:58,800 --> 00:08:01,360 Speaker 2: thank you so much for joining the Daily As today. 153 00:08:01,960 --> 00:08:03,880 Speaker 2: Now I do want to just start at the beginning. 154 00:08:04,200 --> 00:08:07,240 Speaker 2: You have announced in your research partnership. Can you just 155 00:08:07,400 --> 00:08:09,880 Speaker 2: tell me a bit about it and why it has 156 00:08:09,920 --> 00:08:11,120 Speaker 2: come to be in the first place. 157 00:08:11,440 --> 00:08:15,240 Speaker 1: Yeah. Absolutely, really, I'm so excited about this partnership. It's 158 00:08:15,360 --> 00:08:19,120 Speaker 1: with a company called the Vault, and they are what 159 00:08:19,160 --> 00:08:22,840 Speaker 1: we call a peer to peer rental company. That basically 160 00:08:22,920 --> 00:08:28,160 Speaker 1: means we've got just regular people who own some gorgeous 161 00:08:28,160 --> 00:08:32,439 Speaker 1: designer gowns that rent them to other people for various 162 00:08:32,520 --> 00:08:35,640 Speaker 1: points of time. This is a real example of a 163 00:08:35,679 --> 00:08:38,960 Speaker 1: circular economy business model where you're sharing the same thing 164 00:08:39,080 --> 00:08:41,439 Speaker 1: over and over with a lot of different users, if 165 00:08:41,480 --> 00:08:44,800 Speaker 1: you will. So what this research is going to do is, 166 00:08:44,960 --> 00:08:50,679 Speaker 1: first of all, take some environmental measurements to say is 167 00:08:50,720 --> 00:08:53,480 Speaker 1: this really a more sustainable business model or not. 168 00:08:53,920 --> 00:08:55,240 Speaker 6: We all assume that it is. 169 00:08:55,400 --> 00:08:58,240 Speaker 1: We all assume that because you're using the same thing 170 00:08:58,320 --> 00:09:01,720 Speaker 1: over and over and it's not going into the landfill 171 00:09:01,760 --> 00:09:05,679 Speaker 1: too soon, we're not all buying a dress for every occasion, 172 00:09:06,080 --> 00:09:09,320 Speaker 1: that there will be a positive environmental benefit. But what 173 00:09:09,480 --> 00:09:12,079 Speaker 1: the Vault is doing by engaging us in this research 174 00:09:12,200 --> 00:09:15,760 Speaker 1: is really just testing that to make sure it's possible. 175 00:09:16,120 --> 00:09:18,880 Speaker 2: And I'm really king to understand you spoke there about 176 00:09:18,920 --> 00:09:21,880 Speaker 2: actually having the evidence the metrics to go by to 177 00:09:22,040 --> 00:09:25,160 Speaker 2: understand whether this is a more sustainable way to go about, 178 00:09:25,280 --> 00:09:28,760 Speaker 2: you know, acquiring new clothing. What are those metrics that 179 00:09:28,760 --> 00:09:31,400 Speaker 2: you're measuring. How do you actually do that analysis? 180 00:09:31,760 --> 00:09:36,719 Speaker 1: Yes, so we have a team of very talented economists 181 00:09:36,760 --> 00:09:40,079 Speaker 1: and they're looking at things like where the garment originated, 182 00:09:40,120 --> 00:09:45,359 Speaker 1: where the material originated, where the various inputs, so the materials, 183 00:09:45,360 --> 00:09:49,079 Speaker 1: the energy, the labor that go into making that garment. 184 00:09:49,360 --> 00:09:52,920 Speaker 1: They're looking at those types of figures to get basically 185 00:09:52,960 --> 00:09:56,320 Speaker 1: like a footprint for that garment, and then also looking 186 00:09:56,440 --> 00:09:59,400 Speaker 1: at what we call the use phace. So when that 187 00:09:59,520 --> 00:10:03,400 Speaker 1: dress is being used and being worn, how far is 188 00:10:03,440 --> 00:10:07,960 Speaker 1: it traveling between each renter, How is it being laundered, 189 00:10:08,200 --> 00:10:11,040 Speaker 1: so is it being hand washed, is it being dry cleaned. 190 00:10:11,080 --> 00:10:13,480 Speaker 6: If it's being dry cleaned, what. 191 00:10:13,640 --> 00:10:16,880 Speaker 1: Chemicals are being used, And then also what are the 192 00:10:17,040 --> 00:10:20,920 Speaker 1: steps that are being taken to maybe even extend the 193 00:10:20,960 --> 00:10:24,679 Speaker 1: life of that dress further through mending and repairs. 194 00:10:24,880 --> 00:10:27,600 Speaker 6: So they're really taking this full. 195 00:10:27,880 --> 00:10:31,679 Speaker 1: Glance at everything that goes into making that dress from 196 00:10:31,760 --> 00:10:34,640 Speaker 1: the beginning through its kind of useful life, if you. 197 00:10:34,640 --> 00:10:37,360 Speaker 2: Will, and are there any initial findings that you can 198 00:10:37,400 --> 00:10:39,720 Speaker 2: point to, like, do we know whether it is a 199 00:10:39,760 --> 00:10:40,200 Speaker 2: good thing? 200 00:10:40,760 --> 00:10:45,040 Speaker 1: Yeah, well, the Vault has done some initial research using 201 00:10:45,040 --> 00:10:49,480 Speaker 1: a calculator tool that's available for businesses to hire, and 202 00:10:50,400 --> 00:10:52,760 Speaker 1: we do know that the more that you rent a dress, 203 00:10:52,840 --> 00:10:56,520 Speaker 1: absolutely the better impact it has on the environment. So 204 00:10:57,280 --> 00:10:59,120 Speaker 1: I don't know what, you know, what the break even 205 00:10:59,200 --> 00:11:01,520 Speaker 1: point is for exams. Every garment will be a little 206 00:11:01,520 --> 00:11:04,200 Speaker 1: bit different. But when you see some of the dresses 207 00:11:04,679 --> 00:11:08,240 Speaker 1: that are being rented or being rented twenty times, thirty times, 208 00:11:08,280 --> 00:11:12,439 Speaker 1: fifty times, it's undeniable that you're saving carbon and you're 209 00:11:12,480 --> 00:11:14,600 Speaker 1: saving water in those scenarios. 210 00:11:15,160 --> 00:11:18,240 Speaker 2: And are there any example, because we're talking here more 211 00:11:18,240 --> 00:11:23,040 Speaker 2: about high end fashion, but obviously there are some cost 212 00:11:23,080 --> 00:11:25,840 Speaker 2: of living pressures and all of these things. How does 213 00:11:25,880 --> 00:11:29,320 Speaker 2: that balance between I guess the economics of it all 214 00:11:29,400 --> 00:11:33,120 Speaker 2: versus the sustainability, Like, how are you thinking about that? 215 00:11:33,120 --> 00:11:34,880 Speaker 6: That's a really important question. 216 00:11:35,280 --> 00:11:39,360 Speaker 1: The analysis we're doing does incorporate economics as well, so 217 00:11:39,400 --> 00:11:43,040 Speaker 1: it'll be looking at the cost of those garments. And 218 00:11:43,559 --> 00:11:47,000 Speaker 1: one of the things we're hoping comes out of the research, 219 00:11:47,040 --> 00:11:49,080 Speaker 1: but we will have to wait and see, is that 220 00:11:49,200 --> 00:11:52,760 Speaker 1: those garments that are made of a better quality, made 221 00:11:52,800 --> 00:11:59,680 Speaker 1: of stronger materials, made with better quality stitches and buttons, 222 00:11:59,679 --> 00:12:01,920 Speaker 1: and for us that those are going to be able 223 00:12:01,960 --> 00:12:05,800 Speaker 1: to stay in circulation for longer. And in that case 224 00:12:06,520 --> 00:12:09,040 Speaker 1: you may be able to well, you will you are 225 00:12:09,120 --> 00:12:11,400 Speaker 1: able to rent a dress for a lot less than 226 00:12:11,920 --> 00:12:16,960 Speaker 1: buying that same dress. So there's an environmental aspect, absolutely, 227 00:12:17,000 --> 00:12:20,840 Speaker 1: but there's also for somebody who loves fashion or loves dressing, 228 00:12:20,920 --> 00:12:24,760 Speaker 1: there is that kind of avenue for joy of wearing 229 00:12:24,800 --> 00:12:27,960 Speaker 1: a really well made garment that you can access via 230 00:12:28,040 --> 00:12:30,240 Speaker 1: rental rather than ownership. 231 00:12:30,559 --> 00:12:34,199 Speaker 2: I am really curious as part of this research, will 232 00:12:34,480 --> 00:12:38,760 Speaker 2: participants be asked why they have chosen to rent, because 233 00:12:39,080 --> 00:12:42,000 Speaker 2: you know, there are these two very key reasons, and 234 00:12:42,040 --> 00:12:45,080 Speaker 2: I think will be really interesting to understand which one 235 00:12:45,240 --> 00:12:47,120 Speaker 2: is coming out on top. Whether you know, we know 236 00:12:47,200 --> 00:12:50,440 Speaker 2: young people care about the environment, but equally they're most 237 00:12:50,440 --> 00:12:53,600 Speaker 2: affected by this cost of living crisis. So curious to 238 00:12:53,760 --> 00:12:55,640 Speaker 2: understand how that can be monitored. 239 00:12:56,120 --> 00:13:00,520 Speaker 1: Yeah, absolutely, we're calling them the borrow yesers who are 240 00:13:00,600 --> 00:13:04,360 Speaker 1: interviewed definitely are being asked about their motivations for why 241 00:13:04,360 --> 00:13:07,160 Speaker 1: they're renting, So it's they'll be asked a range of 242 00:13:07,240 --> 00:13:11,520 Speaker 1: questions from motivations through the experience, and is there kind 243 00:13:11,559 --> 00:13:14,880 Speaker 1: of a like is it a net positive benefit to 244 00:13:14,920 --> 00:13:17,520 Speaker 1: their lives? Is it helping or is it or is 245 00:13:17,559 --> 00:13:20,440 Speaker 1: it not to really understand their motivations. 246 00:13:21,080 --> 00:13:26,120 Speaker 2: Are there any environmental downsides to this peer to peer borrowing? 247 00:13:26,360 --> 00:13:31,000 Speaker 2: Are there any unintended or perhaps unforeseen emissions like even 248 00:13:31,120 --> 00:13:33,640 Speaker 2: you know, the use of the internet. Are there any 249 00:13:33,840 --> 00:13:37,480 Speaker 2: environmental impacts that you weren't expecting to say play out 250 00:13:37,480 --> 00:13:38,520 Speaker 2: in this Well. 251 00:13:38,559 --> 00:13:41,520 Speaker 1: I think we're just at the beginning of our research, 252 00:13:41,559 --> 00:13:45,920 Speaker 1: but what we've seen in research in other rental markets 253 00:13:46,679 --> 00:13:50,960 Speaker 1: is really looking at whether that garment was going to 254 00:13:50,960 --> 00:13:55,600 Speaker 1: be used or not, and is it genuinely replacing a purchase. 255 00:13:55,760 --> 00:14:00,640 Speaker 1: So what we do know from previous research is that 256 00:14:01,160 --> 00:14:04,800 Speaker 1: occasion wear, which is what these dresses are, occasionwear, is 257 00:14:05,040 --> 00:14:08,880 Speaker 1: absolutely a category that you're getting positive environmental impact from 258 00:14:08,960 --> 00:14:12,360 Speaker 1: renting because that's something most of us have done it. 259 00:14:12,480 --> 00:14:14,280 Speaker 6: I'm guilty of it. You have an. 260 00:14:14,160 --> 00:14:17,280 Speaker 2: Event coming out, I have a wedding every weekend. 261 00:14:16,720 --> 00:14:19,560 Speaker 1: Exactly, you don't want to wear the same thing. Who 262 00:14:19,560 --> 00:14:21,480 Speaker 1: wants to wear the same thing? You just don't, So 263 00:14:21,520 --> 00:14:24,240 Speaker 1: you go quickly buy something whatever's in your budget is 264 00:14:24,240 --> 00:14:27,960 Speaker 1: what you're going to buy where once, maybe twice if 265 00:14:27,960 --> 00:14:30,240 Speaker 1: you're lucky, and it might then just sit in your 266 00:14:30,240 --> 00:14:32,600 Speaker 1: closet for a really long time, or you'll donate it. 267 00:14:32,920 --> 00:14:37,600 Speaker 1: So we do know from previous research that occasionwear is 268 00:14:37,640 --> 00:14:42,480 Speaker 1: an amazing place to get positive environmental benefits. I think 269 00:14:42,480 --> 00:14:45,480 Speaker 1: the things that I'm curious to find out with this 270 00:14:45,600 --> 00:14:51,880 Speaker 1: research is the transportation effect, So where the garment is traveling, 271 00:14:52,040 --> 00:14:55,680 Speaker 1: how far are they traveling across Australia. We've got a 272 00:14:55,760 --> 00:14:59,840 Speaker 1: huge country, so like a geographically huge country, so it's 273 00:15:00,240 --> 00:15:04,840 Speaker 1: going to be interesting to see what those environmental measurements 274 00:15:04,880 --> 00:15:10,280 Speaker 1: are for the transportation in particular. Laundering often gets queried 275 00:15:10,800 --> 00:15:13,880 Speaker 1: when people start thinking about this, well, what's the impact 276 00:15:13,880 --> 00:15:17,160 Speaker 1: of the dry cleaning, But whether that's actually different to 277 00:15:17,240 --> 00:15:20,320 Speaker 1: somebody who owns a dress and goes and cleans it 278 00:15:20,400 --> 00:15:23,920 Speaker 1: anyway is probably negligible. But again we're going to be 279 00:15:24,440 --> 00:15:26,040 Speaker 1: looking at those types of measurements. 280 00:15:26,720 --> 00:15:29,880 Speaker 2: And lastly, as an expert in this area, do you 281 00:15:30,000 --> 00:15:34,280 Speaker 2: see this as the future of fashion or is it 282 00:15:34,520 --> 00:15:36,480 Speaker 2: a phase? Do you think that this is something that 283 00:15:36,520 --> 00:15:39,080 Speaker 2: will really take hold in Australia. 284 00:15:39,200 --> 00:15:43,840 Speaker 1: I do think that it is an area for the future. 285 00:15:43,920 --> 00:15:45,640 Speaker 1: I think there's going to be a lot of interesting 286 00:15:45,720 --> 00:15:49,920 Speaker 1: new business models coming out, But I genuinely think rental 287 00:15:49,960 --> 00:15:54,240 Speaker 1: and shared ownership is one hundred percent going to be 288 00:15:54,280 --> 00:15:57,960 Speaker 1: a trend for a really long time, especially because we're 289 00:15:57,960 --> 00:16:01,440 Speaker 1: at this really unique point of the ultra fast fashion 290 00:16:01,520 --> 00:16:06,120 Speaker 1: companies coming up at a time when we know that 291 00:16:06,200 --> 00:16:09,360 Speaker 1: we need to make some significant changes to the white 292 00:16:09,400 --> 00:16:12,720 Speaker 1: closer are made and purchased and worn and all of that. 293 00:16:12,880 --> 00:16:17,200 Speaker 1: So this rental really allows that, like the fun side 294 00:16:17,240 --> 00:16:20,360 Speaker 1: of fashion to be enjoyed still because at the end 295 00:16:20,400 --> 00:16:22,200 Speaker 1: of the day, yes, we all need to wear clothes 296 00:16:22,240 --> 00:16:24,720 Speaker 1: for a whole lot of various reasons, but we also 297 00:16:24,800 --> 00:16:28,800 Speaker 1: love to express ourselves and sharing ownership of garments allows 298 00:16:28,880 --> 00:16:32,160 Speaker 1: us to change our style, to try different things without 299 00:16:32,520 --> 00:16:35,360 Speaker 1: having to own everything. And as you mentioned before, there's 300 00:16:35,440 --> 00:16:39,640 Speaker 1: environmental benefits to those of us borrowing the clothes, you know, 301 00:16:39,680 --> 00:16:41,840 Speaker 1: which might be a huge financial outlay to buy a 302 00:16:41,920 --> 00:16:46,280 Speaker 1: designer dress, but still enjoy it. So I genuinely think so. 303 00:16:46,840 --> 00:16:50,960 Speaker 1: But I think it's also about getting these models right. 304 00:16:51,000 --> 00:16:53,480 Speaker 4: Thank you so much for joining us on the daily Oslice. 305 00:16:53,520 --> 00:16:54,440 Speaker 4: I really appreciate it. 306 00:16:54,600 --> 00:16:55,520 Speaker 6: Yeah, anytime. 307 00:16:55,600 --> 00:16:59,440 Speaker 3: Thank you so much, a really fascinating chat. That's all 308 00:16:59,440 --> 00:17:01,800 Speaker 3: we've got time for on today's edition of The Daily 309 00:17:01,880 --> 00:17:03,680 Speaker 3: os and that's all we have for you this week. 310 00:17:03,760 --> 00:17:06,080 Speaker 3: We'll be back again in your ears on Monday morning. 311 00:17:06,240 --> 00:17:08,000 Speaker 3: If you want to help us out over the weekend, 312 00:17:08,160 --> 00:17:10,959 Speaker 3: I suggest you play our game picture. This is the 313 00:17:11,000 --> 00:17:15,480 Speaker 3: new emoji craze taking over tda's community. I'm loving it. 314 00:17:15,480 --> 00:17:18,120 Speaker 3: It's slightly frustrating. It's gotten to the point now where 315 00:17:18,160 --> 00:17:19,679 Speaker 3: I don't know the answers to quite a few of them, 316 00:17:19,680 --> 00:17:20,360 Speaker 3: which is quite fun. 317 00:17:20,440 --> 00:17:22,320 Speaker 2: It's going to the point now where my mum messages 318 00:17:22,320 --> 00:17:24,200 Speaker 2: me every morning telling me her thoughts on it, so. 319 00:17:24,280 --> 00:17:25,680 Speaker 4: Be like my mum. We hate every day. 320 00:17:25,760 --> 00:17:28,320 Speaker 3: We had two thousand people hit the leaderboard yesterday, so 321 00:17:28,600 --> 00:17:30,200 Speaker 3: it's pretty fine. I'll put the link to the game 322 00:17:30,240 --> 00:17:33,160 Speaker 3: in today's show notes. Have a great weekend and we'll 323 00:17:33,160 --> 00:17:38,720 Speaker 3: speak to you on Monday. My name is Lily Maddon 324 00:17:38,840 --> 00:17:42,720 Speaker 3: and I'm a proud Arunda Bungelung Calcottin woman from Gadigol Country. 325 00:17:43,520 --> 00:17:46,680 Speaker 3: The Daily oz acknowledges that this podcast is recorded on 326 00:17:46,720 --> 00:17:49,199 Speaker 3: the lands of the Gadighl people and pays respect to 327 00:17:49,280 --> 00:17:51,960 Speaker 3: all Aboriginal and Torres Strait Island and nations. 328 00:17:52,240 --> 00:17:55,160 Speaker 6: We pay our respects to the first peoples of these countries, 329 00:17:55,320 --> 00:17:56,479 Speaker 6: both past and present.