1 00:00:00,560 --> 00:00:04,080 Speaker 1: Already and this this is the daily This is the daily. 2 00:00:04,200 --> 00:00:06,880 Speaker 2: Ohs oh, now it makes sense. 3 00:00:14,600 --> 00:00:17,520 Speaker 1: Good morning and welcome to the Daily OS. It's Wednesday, 4 00:00:17,600 --> 00:00:18,640 Speaker 1: the fifth of March. 5 00:00:18,760 --> 00:00:20,640 Speaker 2: I'm emma, i'm zara. 6 00:00:20,800 --> 00:00:25,799 Speaker 1: The Workplace Gender Equality Agency WGEA has released its latest 7 00:00:25,800 --> 00:00:29,200 Speaker 1: annual pay gap report this week, which found that on average, 8 00:00:29,240 --> 00:00:33,479 Speaker 1: men still earn more than women across all industries. The 9 00:00:33,520 --> 00:00:37,159 Speaker 1: agency's gender pay gap target range for all employers is 10 00:00:37,200 --> 00:00:41,000 Speaker 1: plus or minus five percent, but its latest findings show 11 00:00:41,080 --> 00:00:44,559 Speaker 1: that just one in five Australian employers is actually meeting 12 00:00:44,680 --> 00:00:48,560 Speaker 1: this target. But it's not all bad news, with fifty 13 00:00:48,560 --> 00:00:51,800 Speaker 1: six percent of employers improving their gender pay gap in 14 00:00:51,840 --> 00:00:54,920 Speaker 1: the twenty twenty three to twenty four financial year compared 15 00:00:55,040 --> 00:00:58,320 Speaker 1: to the previous one. In today's deep dive, we're going 16 00:00:58,400 --> 00:01:00,520 Speaker 1: to take a closer look at these findings to check 17 00:01:00,560 --> 00:01:03,120 Speaker 1: in with where Australia is at when it comes to 18 00:01:03,160 --> 00:01:04,000 Speaker 1: the gender pay gap. 19 00:01:07,920 --> 00:01:10,480 Speaker 3: M if our comment section has anything to go by, 20 00:01:10,760 --> 00:01:13,520 Speaker 3: which look, it shouldn't always be something. 21 00:01:13,240 --> 00:01:13,680 Speaker 2: To go by. 22 00:01:13,959 --> 00:01:17,280 Speaker 3: However, there is a lot of confusion about what the 23 00:01:17,360 --> 00:01:19,440 Speaker 3: gender pay gap is and one of the things that 24 00:01:19,600 --> 00:01:22,240 Speaker 3: always comes up is isn't it illegal to pay men 25 00:01:22,240 --> 00:01:25,759 Speaker 3: and women differently for the same job. We're not talking 26 00:01:25,760 --> 00:01:28,960 Speaker 3: about that that is illegal. What are we talking about today. 27 00:01:28,800 --> 00:01:31,240 Speaker 1: Yes, so it can be a really confusing one, so 28 00:01:31,400 --> 00:01:33,360 Speaker 1: bear with me. And part of the reason that it 29 00:01:33,480 --> 00:01:35,880 Speaker 1: is so confusing is that often the gender pay gap 30 00:01:36,040 --> 00:01:38,800 Speaker 1: is a marker that is measured differently across different reporting 31 00:01:38,840 --> 00:01:42,320 Speaker 1: and different organizations. But from the outset, as you mentioned, 32 00:01:42,400 --> 00:01:45,039 Speaker 1: it's important to note we're not talking about men and 33 00:01:45,080 --> 00:01:48,320 Speaker 1: women being paid differently for doing the same job. That 34 00:01:48,480 --> 00:01:51,840 Speaker 1: is illegal. That is a form of workplace discrimination. And 35 00:01:51,880 --> 00:01:54,920 Speaker 1: so what the gender pay gap is referring to is 36 00:01:55,080 --> 00:01:58,680 Speaker 1: the difference in how men and women are paid across 37 00:01:58,840 --> 00:02:03,640 Speaker 1: all levels and all industries, so the differences in their earnings. Now, 38 00:02:03,680 --> 00:02:07,760 Speaker 1: in terms of the WGEA reporting specifically, there are two 39 00:02:07,880 --> 00:02:11,280 Speaker 1: main data sets used to help us understand the gender 40 00:02:11,320 --> 00:02:13,960 Speaker 1: pay gap and this will kind of speak to what 41 00:02:14,000 --> 00:02:18,360 Speaker 1: it actually is hopefully now. The first analysis is the 42 00:02:18,520 --> 00:02:23,239 Speaker 1: median pay gap within Australian businesses with over one hundred employees, 43 00:02:23,720 --> 00:02:27,239 Speaker 1: and those findings can be used to inform industry specific 44 00:02:27,320 --> 00:02:32,360 Speaker 1: trends broader trends within Australian workplaces and remembering that median 45 00:02:32,639 --> 00:02:35,560 Speaker 1: means middle. So if you line up all the earnings 46 00:02:35,560 --> 00:02:37,920 Speaker 1: from highest to lowest for men and women in a company, 47 00:02:38,200 --> 00:02:40,200 Speaker 1: you take the middle number of that list for each 48 00:02:40,280 --> 00:02:43,440 Speaker 1: gender and compare the difference in that number in terms 49 00:02:43,520 --> 00:02:45,920 Speaker 1: of percentage, you look like you're in physical pain. 50 00:02:47,200 --> 00:02:49,880 Speaker 3: I was actually just about to jump in because during 51 00:02:50,440 --> 00:02:54,880 Speaker 3: year seven maths, I remember learning main median mode. This 52 00:02:55,080 --> 00:02:56,720 Speaker 3: is nothing else to contribute. It was just in my 53 00:02:56,760 --> 00:02:58,519 Speaker 3: head and I didn't know when the right time to 54 00:02:58,520 --> 00:02:59,040 Speaker 3: say it was. 55 00:02:59,120 --> 00:03:02,239 Speaker 1: Everyone brings this sung up and it speaks to how 56 00:03:02,480 --> 00:03:05,040 Speaker 1: little attention I paid in high school mathsacolt. 57 00:03:04,800 --> 00:03:08,040 Speaker 3: I remember that's really family lodged in my brain. But sorry, 58 00:03:08,080 --> 00:03:08,720 Speaker 3: we digress. 59 00:03:08,840 --> 00:03:09,120 Speaker 2: Go on. 60 00:03:09,680 --> 00:03:13,600 Speaker 1: So the median metric is part of the gender pay 61 00:03:13,639 --> 00:03:18,200 Speaker 1: gap reporting. Last year's report was slightly different, but now 62 00:03:18,280 --> 00:03:23,919 Speaker 1: the annual publication also includes the average remuneration of CEOs, 63 00:03:24,120 --> 00:03:29,079 Speaker 1: heads of businesses, casual managers, so senior workers within organizations, 64 00:03:29,400 --> 00:03:33,640 Speaker 1: and that data was previously excluded. So when we're talking 65 00:03:33,720 --> 00:03:37,080 Speaker 1: about remuneration, we're talking about a combination of earnings, not 66 00:03:37,280 --> 00:03:41,920 Speaker 1: just salary. So this includes bonuses, superannuation, additional earnings like 67 00:03:42,000 --> 00:03:43,480 Speaker 1: sales commissions, those kinds of. 68 00:03:43,520 --> 00:03:47,200 Speaker 3: Things, and the inclusion of CEOs is very significant because 69 00:03:47,200 --> 00:03:49,800 Speaker 3: when you're finding an average, if the top is a 70 00:03:49,840 --> 00:03:53,560 Speaker 3: lot higher, then that's going to be reflected in the average. 71 00:03:53,240 --> 00:03:55,360 Speaker 1: Yes, exactly, And that we're going to get into a 72 00:03:55,400 --> 00:03:57,520 Speaker 1: little bit more of the data, and that kind of 73 00:03:57,520 --> 00:03:59,680 Speaker 1: speaks to some of the fluctuations that we have seen 74 00:03:59,720 --> 00:04:02,280 Speaker 1: this year. But overall, what you need to know is 75 00:04:02,320 --> 00:04:05,040 Speaker 1: that this report shows us the difference between what Australian 76 00:04:05,120 --> 00:04:08,400 Speaker 1: men and women earn across different companies, different industries, and 77 00:04:08,440 --> 00:04:09,520 Speaker 1: different career levels. 78 00:04:09,640 --> 00:04:13,280 Speaker 3: Okay, so just to one hundred percent clarify, the gender 79 00:04:13,400 --> 00:04:16,680 Speaker 3: pay gap is not Sam and I doing the same 80 00:04:16,760 --> 00:04:19,360 Speaker 3: job but being paid differently. That is not the gender 81 00:04:19,400 --> 00:04:21,880 Speaker 3: pay gap, yeh. But the gender pay gap is measuring 82 00:04:22,480 --> 00:04:26,719 Speaker 3: is overall across industries, the earnings and the difference in 83 00:04:26,760 --> 00:04:29,000 Speaker 3: earnings between men and women exactly. 84 00:04:29,120 --> 00:04:29,559 Speaker 2: All Right. 85 00:04:29,720 --> 00:04:32,760 Speaker 3: One other thing I just wanted to briefly touch on 86 00:04:32,880 --> 00:04:35,560 Speaker 3: before we get to the data itself is who has 87 00:04:35,720 --> 00:04:39,359 Speaker 3: compiled the data, Because as you mentioned at the top, 88 00:04:39,600 --> 00:04:41,760 Speaker 3: there have been quite a few different metrics for how 89 00:04:41,800 --> 00:04:44,840 Speaker 3: this is measured, but we now do have this definitive 90 00:04:44,960 --> 00:04:47,760 Speaker 3: source for Australia's gender pay gap. Talk to me about 91 00:04:47,839 --> 00:04:48,800 Speaker 3: the WGEA. 92 00:04:49,200 --> 00:04:52,640 Speaker 1: Yes, So that's the Workplace Gender Equality Agency in case 93 00:04:52,680 --> 00:04:56,000 Speaker 1: you've forgotten. It's part of the federal government and it's 94 00:04:56,040 --> 00:05:00,120 Speaker 1: a national body task with reducing gender discrimination for workers 95 00:05:00,160 --> 00:05:03,359 Speaker 1: around the country. In twenty twenty three, the government passed 96 00:05:03,440 --> 00:05:06,880 Speaker 1: legislation requiring businesses with at least one hundred workers to 97 00:05:07,120 --> 00:05:10,760 Speaker 1: disclose their gender pay gap data, and that law mandated 98 00:05:10,880 --> 00:05:15,320 Speaker 1: that the WGEA would publish that data. So a report 99 00:05:15,400 --> 00:05:18,640 Speaker 1: last year was actually the first time we had seen 100 00:05:19,160 --> 00:05:21,600 Speaker 1: this kind of data that it had been made public, 101 00:05:21,640 --> 00:05:24,559 Speaker 1: and now that agency has handed down its second gender 102 00:05:24,600 --> 00:05:28,200 Speaker 1: pay gap report this week. So that legislation is the 103 00:05:28,240 --> 00:05:32,080 Speaker 1: reason why we only have these two years of reporting. 104 00:05:31,920 --> 00:05:34,520 Speaker 3: And it is it should be said, pretty substantial that 105 00:05:34,560 --> 00:05:39,240 Speaker 3: you've got these companies having to publish this level of 106 00:05:39,360 --> 00:05:40,039 Speaker 3: data like that. 107 00:05:40,760 --> 00:05:41,760 Speaker 2: I've looked at the report. 108 00:05:41,760 --> 00:05:44,599 Speaker 3: There's a lot there about how some of these bigger 109 00:05:44,600 --> 00:05:47,040 Speaker 3: companies in Australia, but also some of them aren't that big. 110 00:05:47,080 --> 00:05:49,839 Speaker 3: You know, one hundred employees. It's bigger than the daily ohs, 111 00:05:50,040 --> 00:05:53,279 Speaker 3: but it's not massive. And we now have a really 112 00:05:53,279 --> 00:05:56,040 Speaker 3: full picture of how they're paying their workers, which is fascinating. 113 00:05:56,080 --> 00:05:58,360 Speaker 1: Yeah, and for workers in those companies, you know, they 114 00:05:58,360 --> 00:06:02,440 Speaker 1: can access this public data and compare their employer against 115 00:06:02,520 --> 00:06:05,880 Speaker 1: other employers across that industry. And the other thing to 116 00:06:05,920 --> 00:06:09,400 Speaker 1: mention is that a company's progress or standing when it 117 00:06:09,440 --> 00:06:12,760 Speaker 1: comes to its gender pay gap is measured against this 118 00:06:12,920 --> 00:06:16,839 Speaker 1: target range. Now, the WDEA says a pay gap between 119 00:06:17,480 --> 00:06:21,440 Speaker 1: minus five percent to five percent accounts for normal changes 120 00:06:21,480 --> 00:06:25,600 Speaker 1: at workplaces, and that's that target range. So the companies 121 00:06:25,640 --> 00:06:28,280 Speaker 1: that are seen to be behind on their gender pay 122 00:06:28,320 --> 00:06:31,960 Speaker 1: gap outcomes are companies whose gender pay gaps fall outside 123 00:06:32,000 --> 00:06:32,960 Speaker 1: that target range. 124 00:06:33,080 --> 00:06:35,920 Speaker 3: Okay, So without further ado, and there's a lot of 125 00:06:36,080 --> 00:06:37,640 Speaker 3: data in this report. 126 00:06:38,120 --> 00:06:40,200 Speaker 2: What do we need to know though? What's what are 127 00:06:40,200 --> 00:06:40,920 Speaker 2: the headlines? 128 00:06:41,440 --> 00:06:44,560 Speaker 1: So the results, as you mentioned, this is extensive. The 129 00:06:44,600 --> 00:06:50,320 Speaker 1: results come from seven eight hundred individual employers, seventeen hundred 130 00:06:50,400 --> 00:06:53,960 Speaker 1: corporate groups now their parent companies of at least one organization. 131 00:06:54,040 --> 00:06:56,719 Speaker 1: So I think you know Woolworths Group it owns Woolies 132 00:06:56,720 --> 00:06:59,600 Speaker 1: the supermarket, yes, but also it owns brands like BWS 133 00:07:00,040 --> 00:07:03,880 Speaker 1: and Big w And this data set applies to more 134 00:07:03,920 --> 00:07:08,919 Speaker 1: than five million Australian employees. Within those thousands and thousands 135 00:07:08,920 --> 00:07:12,200 Speaker 1: of companies based on that target range that we've discussed 136 00:07:12,240 --> 00:07:16,320 Speaker 1: plus or minus five percent, the WGEA found four in 137 00:07:16,480 --> 00:07:21,000 Speaker 1: five employers are not meeting that target. In fact, Australia's 138 00:07:21,040 --> 00:07:23,240 Speaker 1: average gender pay gap for the twenty twenty three to 139 00:07:23,320 --> 00:07:26,040 Speaker 1: twenty four financial year was thirteen percent. 140 00:07:26,480 --> 00:07:28,320 Speaker 3: Just for a listener, and I guess, for my sake, 141 00:07:28,720 --> 00:07:31,840 Speaker 3: what does that thirteen percent actually look like in numbers? 142 00:07:32,040 --> 00:07:35,400 Speaker 1: So for every dollar a man earns, women earn seventy 143 00:07:35,440 --> 00:07:39,440 Speaker 1: eight cents on average, So three and four Australian companies 144 00:07:39,800 --> 00:07:42,560 Speaker 1: pay men more than women on average, with women earning 145 00:07:42,720 --> 00:07:47,680 Speaker 1: twenty eight four hundred and twenty five dollars less per year. Interestingly, 146 00:07:47,720 --> 00:07:51,720 Speaker 1: this report also found the higher the average total remuneration 147 00:07:51,840 --> 00:07:55,200 Speaker 1: at an employer, the more likely that employer is to 148 00:07:55,280 --> 00:07:58,960 Speaker 1: have a large gender pay gap favoring men. Looking at 149 00:07:59,000 --> 00:08:02,520 Speaker 1: gender pay gaps favoring men across different industries, I. 150 00:08:02,560 --> 00:08:04,320 Speaker 3: Think, can I just interrupt you there because you keep 151 00:08:04,360 --> 00:08:07,760 Speaker 3: saying gender pay gaps favoring men? Yes, are there gender 152 00:08:07,800 --> 00:08:09,160 Speaker 3: pay gaps favoring women? 153 00:08:09,480 --> 00:08:14,160 Speaker 1: There were some companies where gender pay gaps favored women 154 00:08:14,800 --> 00:08:18,840 Speaker 1: six point five percent of employers to be exact, YEP 155 00:08:19,080 --> 00:08:22,720 Speaker 1: seventy two percent of employers had gender pay gaps that 156 00:08:23,080 --> 00:08:23,880 Speaker 1: favored men. 157 00:08:24,000 --> 00:08:26,960 Speaker 2: Okay, so the large majority, the large majority exactly. 158 00:08:27,080 --> 00:08:31,960 Speaker 1: Now, looking at that by industry. In financial services as 159 00:08:32,000 --> 00:08:35,319 Speaker 1: an industry, ninety six percent of employers had gender pay 160 00:08:35,320 --> 00:08:37,200 Speaker 1: gaps outside the target favoring men. 161 00:08:37,440 --> 00:08:40,559 Speaker 2: Okay, so almost all, yes, almost. 162 00:08:40,360 --> 00:08:44,280 Speaker 1: All of the financial services industry. In construction not far behind, 163 00:08:44,400 --> 00:08:47,559 Speaker 1: with ninety two percent of employers reporting gender pay gaps 164 00:08:47,600 --> 00:08:51,760 Speaker 1: favoring men, And in retail this figure was sixty eight percent, 165 00:08:52,120 --> 00:08:58,319 Speaker 1: education sixty two percent. Interestingly, some female dominated industries there 166 00:08:58,360 --> 00:09:01,760 Speaker 1: with significant gender pay gaps bring men in terms of 167 00:09:02,000 --> 00:09:07,760 Speaker 1: gender balanced earnings, though again this was in the significant minority. 168 00:09:07,760 --> 00:09:11,480 Speaker 1: But we saw the public service industry that actually reported 169 00:09:11,640 --> 00:09:15,320 Speaker 1: gender balanced earnings across sixty five percent of employers. 170 00:09:15,640 --> 00:09:18,880 Speaker 3: Okay, So that's industries. One of the other things that's 171 00:09:18,920 --> 00:09:21,000 Speaker 3: really interesting in this report, though, is that we do 172 00:09:21,040 --> 00:09:24,600 Speaker 3: have a company by company breakdown. Talk to me about 173 00:09:24,840 --> 00:09:27,400 Speaker 3: what we found out about these individual companies. 174 00:09:27,880 --> 00:09:30,800 Speaker 1: So in terms of some of the companies and bigger 175 00:09:30,800 --> 00:09:34,960 Speaker 1: brands that TDA listeners might have actually heard of, we 176 00:09:35,080 --> 00:09:37,920 Speaker 1: looked at companies with more than two hundred and fifty 177 00:09:38,120 --> 00:09:42,120 Speaker 1: employees and then sorted that by the highest pay gaps 178 00:09:42,200 --> 00:09:46,640 Speaker 1: amongst those larger companies. This was some incredible data analysis 179 00:09:46,720 --> 00:09:49,719 Speaker 1: by our journalist Harry Sekulic, so thank you Harry the 180 00:09:49,800 --> 00:09:53,960 Speaker 1: numbers man, and he identified an interesting trend with some 181 00:09:54,080 --> 00:09:58,320 Speaker 1: major women's fashion retailers. Now that included City Chic, which 182 00:09:58,360 --> 00:10:02,320 Speaker 1: had a sixty seven percent gender pay gap, Cfolly, which 183 00:10:02,320 --> 00:10:05,000 Speaker 1: had a sixty two point two percent gender pay gap. 184 00:10:05,200 --> 00:10:08,120 Speaker 1: Actually looked at our reporting on this from last year 185 00:10:08,400 --> 00:10:11,480 Speaker 1: and c Folly is up from forty four point five 186 00:10:11,559 --> 00:10:14,720 Speaker 1: percent as its gender pay gap, so it's gone backwards 187 00:10:14,760 --> 00:10:17,800 Speaker 1: to sixty two point two percent. Mimco was on fifty 188 00:10:17,880 --> 00:10:20,960 Speaker 1: nine point four percent. I had a look at the 189 00:10:20,960 --> 00:10:24,840 Speaker 1: financial services sector because we had that significant ninety six 190 00:10:24,880 --> 00:10:28,720 Speaker 1: percent industry gender pay gap. An investment bank, Morgan Stanley 191 00:10:28,920 --> 00:10:32,480 Speaker 1: reported a fifty eight point six percent gender pay gap. 192 00:10:32,880 --> 00:10:37,959 Speaker 1: And then some huge household companies brands names Jetstar and 193 00:10:38,080 --> 00:10:43,000 Speaker 1: virgin both reported gender pay gaps of around forty two percent. Now, 194 00:10:43,480 --> 00:10:46,960 Speaker 1: those numbers were almost identical to jets Are and Virgins 195 00:10:47,120 --> 00:10:48,640 Speaker 1: gender pay gaps for the previous year. 196 00:10:48,960 --> 00:10:52,160 Speaker 3: Yeah, super interesting, And just to clarify there, we're not 197 00:10:52,240 --> 00:10:56,560 Speaker 3: saying that the companies that you listed were you know, one, two, three, four, five, six, 198 00:10:56,600 --> 00:10:58,679 Speaker 3: seven the worst ones there. It was just we were 199 00:10:58,679 --> 00:11:02,440 Speaker 3: picking a handful hour of that top cohort that our 200 00:11:02,480 --> 00:11:05,400 Speaker 3: listeners might be familiar with. But there were also you know, 201 00:11:05,480 --> 00:11:08,680 Speaker 3: family holding groups and some mining groups. 202 00:11:08,960 --> 00:11:11,120 Speaker 2: There are lots of different companies exactly. 203 00:11:11,120 --> 00:11:13,119 Speaker 1: I think this is just you know, giving a snapshot 204 00:11:13,160 --> 00:11:14,920 Speaker 1: to paint a bit of a picture to kind of 205 00:11:14,960 --> 00:11:18,280 Speaker 1: help the average person understand how this works in everyday 206 00:11:18,360 --> 00:11:21,439 Speaker 1: terms for those you know, millions of Australian employees. 207 00:11:21,800 --> 00:11:23,600 Speaker 3: Yeah, and and I want to go back to something 208 00:11:23,679 --> 00:11:25,880 Speaker 3: you said at the top about the fact that there 209 00:11:25,880 --> 00:11:28,120 Speaker 3: have been some improvements perhaps to look at some of 210 00:11:28,160 --> 00:11:30,640 Speaker 3: the silver lining in this starta can you take me 211 00:11:30,640 --> 00:11:30,960 Speaker 3: through that. 212 00:11:31,240 --> 00:11:33,720 Speaker 1: Yeah, it's important to note, you know, this isn't all 213 00:11:33,960 --> 00:11:37,160 Speaker 1: bad news and the very nature of this reporting, ultimately 214 00:11:37,200 --> 00:11:41,560 Speaker 1: it's hoped will kind of encourage companies towards progress with 215 00:11:41,640 --> 00:11:45,040 Speaker 1: their gender pay gaps, and fifty six percent of employers 216 00:11:45,160 --> 00:11:48,520 Speaker 1: in this latest report actually improved their gender pay gap 217 00:11:48,800 --> 00:11:52,679 Speaker 1: between the first and the second WGEA report. There was 218 00:11:52,840 --> 00:11:57,200 Speaker 1: also a significant increase in employers conducting gender pay gap 219 00:11:57,240 --> 00:12:00,480 Speaker 1: analysis on their pay and composition to find out what's 220 00:12:00,600 --> 00:12:04,640 Speaker 1: driving these gaps, what's behind some of those significant differences, 221 00:12:05,240 --> 00:12:10,000 Speaker 1: and consultation within these companies also rose significantly, so we 222 00:12:10,040 --> 00:12:13,240 Speaker 1: heard from many more employers saying that they have taken 223 00:12:13,280 --> 00:12:17,640 Speaker 1: steps to talk to their employees to understand these differences 224 00:12:17,679 --> 00:12:22,680 Speaker 1: better as well. WGEA CEO Mary Wooldridge said it's promising 225 00:12:22,720 --> 00:12:24,920 Speaker 1: to see the big increase in the number of employers 226 00:12:24,960 --> 00:12:28,080 Speaker 1: working to understand what's driving their gender pay gap beyond 227 00:12:28,160 --> 00:12:31,760 Speaker 1: unequal pay, and she added that workplace equality has benefits 228 00:12:31,800 --> 00:12:35,160 Speaker 1: for all workers. You know, this isn't just about women 229 00:12:35,400 --> 00:12:39,600 Speaker 1: earning more money. It's about benefits that could change workplaces 230 00:12:39,640 --> 00:12:43,400 Speaker 1: for everyone. Redesigning senior roles to accommodate women on a 231 00:12:43,440 --> 00:12:46,719 Speaker 1: job share or part time kind of basis, or redesigning 232 00:12:46,760 --> 00:12:50,960 Speaker 1: senior roles to be more flexible for parents, whichever gender 233 00:12:51,080 --> 00:12:54,040 Speaker 1: they are For men, Wooldridge said that you know, paid 234 00:12:54,040 --> 00:12:57,680 Speaker 1: parental leave and paying superannuation on that leave could create 235 00:12:57,760 --> 00:13:01,240 Speaker 1: a more equal experience, and she that over the past year, 236 00:13:01,320 --> 00:13:05,160 Speaker 1: employers have told the agency that the publication of these 237 00:13:05,200 --> 00:13:08,080 Speaker 1: pay gaps has been a catalyst to assess gender based 238 00:13:08,080 --> 00:13:11,240 Speaker 1: differences in all areas. Of their workplace. 239 00:13:11,280 --> 00:13:14,280 Speaker 3: So that's an interesting point there, because it is a 240 00:13:14,280 --> 00:13:17,960 Speaker 3: fine line, right, Like I'm sure, yeah, some employers feel 241 00:13:18,080 --> 00:13:21,880 Speaker 3: like this is you know, shaming behavior, or that this 242 00:13:22,000 --> 00:13:26,559 Speaker 3: is calling them out, whereas from Mary Woolridge's perspective, she's saying, no, 243 00:13:26,720 --> 00:13:29,480 Speaker 3: this is actually incentivizing companies to do better. 244 00:13:29,679 --> 00:13:32,040 Speaker 1: Yeah, And I think, you know, we can all probably 245 00:13:32,080 --> 00:13:36,320 Speaker 1: agree that if a company has more flexible policies that 246 00:13:36,400 --> 00:13:40,240 Speaker 1: are better for all workers there, it's probably going to 247 00:13:40,280 --> 00:13:42,360 Speaker 1: be a better place to work. You're probably going to 248 00:13:42,360 --> 00:13:45,840 Speaker 1: have more satisfied and motivated employees. But like I said, Zara, 249 00:13:45,920 --> 00:13:48,640 Speaker 1: this is just the second year of reporting from the 250 00:13:48,760 --> 00:13:51,840 Speaker 1: WGEA on this data, so it's going to be really 251 00:13:51,880 --> 00:13:54,120 Speaker 1: interesting to see how things evolve over. 252 00:13:53,960 --> 00:13:54,720 Speaker 2: The years to come. 253 00:13:54,960 --> 00:13:58,000 Speaker 3: And it's fascinating that we now have this landmark, you know, 254 00:13:58,160 --> 00:14:02,880 Speaker 3: annual metric that we can assess whether there's improvements or 255 00:14:03,160 --> 00:14:04,319 Speaker 3: whether there's stagnation. 256 00:14:05,320 --> 00:14:07,719 Speaker 2: Really interesting one. So thank you for explaining, madam. 257 00:14:07,600 --> 00:14:08,520 Speaker 1: Thanks for having me. 258 00:14:09,040 --> 00:14:11,320 Speaker 3: That wraps up another episode of The Daily OZ. We'll 259 00:14:11,320 --> 00:14:13,800 Speaker 3: be back again later today with the day's headlines, but 260 00:14:13,920 --> 00:14:19,680 Speaker 3: until then, have a great Wednesday. 261 00:14:21,640 --> 00:14:22,760 Speaker 2: My name is Lily Madden. 262 00:14:22,840 --> 00:14:26,720 Speaker 3: And I'm a proud Arunda Bungelung Chalcutin woman from Gadighl country. 263 00:14:27,560 --> 00:14:30,720 Speaker 3: The Daily oz acknowledges that this podcast is recorded on 264 00:14:30,760 --> 00:14:33,240 Speaker 3: the lands of the Gadighl people and pays respect to 265 00:14:33,320 --> 00:14:36,640 Speaker 3: all Aboriginal and Torres Straight Island and nations. We pay 266 00:14:36,640 --> 00:14:39,600 Speaker 3: our respects to the first peoples of these countries, both 267 00:14:39,640 --> 00:14:40,520 Speaker 3: past and present.