1 00:00:00,040 --> 00:00:02,360 Speaker 1: We've got a merger confirmed there where met services seems 2 00:00:02,360 --> 00:00:03,640 Speaker 1: to have been coming for a while. They're going to 3 00:00:03,640 --> 00:00:07,080 Speaker 1: become one the idea as we eliminate duplication, streamline services, 4 00:00:07,120 --> 00:00:09,760 Speaker 1: save money, all that stuff. Science and Innovation Tech Minister 5 00:00:09,880 --> 00:00:11,520 Speaker 1: shame Retty with a shame warning. 6 00:00:12,520 --> 00:00:13,039 Speaker 2: Good morning. 7 00:00:13,039 --> 00:00:15,159 Speaker 1: Make the time frame between what you thought you were 8 00:00:15,160 --> 00:00:17,000 Speaker 1: going to do and actually doing it now? Has somebody 9 00:00:17,079 --> 00:00:18,759 Speaker 1: been pushing back? Has there been a scrap on or 10 00:00:18,760 --> 00:00:19,840 Speaker 1: has this been a no brainer? 11 00:00:21,280 --> 00:00:22,880 Speaker 2: Now? This has been a no brainer. I mean we've 12 00:00:22,880 --> 00:00:26,119 Speaker 2: got two organizations, two sets of infrastructure, two sets of 13 00:00:26,200 --> 00:00:29,720 Speaker 2: back offers, and unfortunately sometimes two different weather reports on 14 00:00:29,800 --> 00:00:33,000 Speaker 2: the same weather system, so the weather forecasting system. The 15 00:00:33,080 --> 00:00:36,520 Speaker 2: view was quite clear that we should follow international presidents, 16 00:00:36,720 --> 00:00:39,320 Speaker 2: bring these together, drive the efficiencies and put those efficiencies 17 00:00:39,320 --> 00:00:40,159 Speaker 2: back into the system. 18 00:00:40,320 --> 00:00:42,080 Speaker 1: Are we going to have a lead agency as one 19 00:00:42,120 --> 00:00:42,840 Speaker 1: better than the other. 20 00:00:45,080 --> 00:00:47,880 Speaker 2: NIWA will be the appearent to the acquisition, So NIWA 21 00:00:47,920 --> 00:00:51,519 Speaker 2: will be the lead going forward for authoritative meteorological advice. 22 00:00:51,760 --> 00:00:55,240 Speaker 1: And what's the cost saving the job losses and the 23 00:00:55,320 --> 00:00:56,000 Speaker 1: time frame? 24 00:00:57,880 --> 00:01:01,680 Speaker 2: So the projected monetized net present value benefits are roughly 25 00:01:01,720 --> 00:01:05,080 Speaker 2: three million dollars per annum is what the modeling has shown, 26 00:01:05,080 --> 00:01:09,320 Speaker 2: which we can drive back into improving weather forecasting jobs 27 00:01:11,080 --> 00:01:14,080 Speaker 2: still being determined as roughly six hundred to six hundred 28 00:01:14,080 --> 00:01:18,000 Speaker 2: and fifty jobs at newer three hundred at Meteorological Service, 29 00:01:18,319 --> 00:01:20,479 Speaker 2: and it's being worked out. We'll bring them together first 30 00:01:20,520 --> 00:01:22,839 Speaker 2: of all, and then we'll work our way through weather 31 00:01:22,920 --> 00:01:26,040 Speaker 2: duplications occur, but it is the intention to find those 32 00:01:26,080 --> 00:01:28,560 Speaker 2: reduplications and redirect that funding back in design. 33 00:01:28,760 --> 00:01:32,319 Speaker 1: Obviously I'm not a meteorologist, but how is it possible? 34 00:01:32,319 --> 00:01:35,680 Speaker 1: Will you employ one thousand people to put out a 35 00:01:35,720 --> 00:01:36,560 Speaker 1: weather forecast? 36 00:01:38,520 --> 00:01:40,880 Speaker 2: It is actually very complex. And remember they actually do 37 00:01:41,000 --> 00:01:44,480 Speaker 2: more than weather. If you look at what the NIWER does. 38 00:01:44,480 --> 00:01:48,200 Speaker 2: For example, it also deploys the dark Boy system all 39 00:01:48,240 --> 00:01:50,840 Speaker 2: around the world, so it is a much broader a 40 00:01:50,880 --> 00:01:52,640 Speaker 2: remit than just weather. 41 00:01:52,680 --> 00:01:55,240 Speaker 1: Actually, what would you expect it to go from? Roughly 42 00:01:55,520 --> 00:01:57,960 Speaker 1: not holding you to it, but if a thousands too many? 43 00:01:57,960 --> 00:01:58,840 Speaker 1: What's the number? 44 00:02:01,120 --> 00:02:04,360 Speaker 2: Look that's adread That is uncertain. We couldn't predict on that, 45 00:02:04,400 --> 00:02:06,880 Speaker 2: but one we could imagine that the back office is 46 00:02:06,920 --> 00:02:10,000 Speaker 2: where some of the efficiencies will drive initially, and then 47 00:02:10,040 --> 00:02:12,840 Speaker 2: we'll look at where some of the duplicated infrastructure might 48 00:02:12,880 --> 00:02:14,080 Speaker 2: need to be reconfigured also. 49 00:02:14,280 --> 00:02:15,040 Speaker 1: And timeframe. 50 00:02:17,600 --> 00:02:21,040 Speaker 2: We're looking to bring legislation to the House in this 51 00:02:21,200 --> 00:02:23,840 Speaker 2: next three or four months, and then we'll drive the 52 00:02:23,960 --> 00:02:25,440 Speaker 2: organizations together once we've done that. 53 00:02:25,639 --> 00:02:28,240 Speaker 1: Good stuff for shame ready who is the Science, Innovation 54 00:02:28,400 --> 00:02:31,079 Speaker 1: Tech Minister? And assuming they're going to need new stationary 55 00:02:31,120 --> 00:02:34,120 Speaker 1: as well, Mike, regarding wall carpets being used, would the 56 00:02:34,160 --> 00:02:36,960 Speaker 1: Commerce Commission look into this as the outside there are 57 00:02:37,040 --> 00:02:39,360 Speaker 1: laws regarding fair trading and unfair competition. Is not a 58 00:02:39,400 --> 00:02:43,080 Speaker 1: bad question. Actually, if there's a government directive to favor 59 00:02:43,120 --> 00:02:46,000 Speaker 1: one product open or another, and you've entered a free 60 00:02:46,040 --> 00:02:49,760 Speaker 1: trade agreement with somebody pack anybody who happens to export, 61 00:02:49,919 --> 00:02:57,600 Speaker 1: we import their carpet materials. Well done, Well done, you 62 00:02:57,840 --> 00:03:01,359 Speaker 1: good question. For more from the Mic Asking Breakfast, listen 63 00:03:01,440 --> 00:03:04,400 Speaker 1: live to News Talks at b from six am weekdays, 64 00:03:04,600 --> 00:03:06,600 Speaker 1: or follow the podcast on iHeartRadio.