1 00:00:07,600 --> 00:00:10,400 Speaker 1: Hello, and welcome to Stephanomics, the podcast that brings the 2 00:00:10,400 --> 00:00:15,000 Speaker 1: global economy to you. World begins unprecedented third attempt on 3 00:00:16,600 --> 00:00:19,720 Speaker 1: that wise crack on Twitter as the clock struck midnight 4 00:00:19,800 --> 00:00:22,799 Speaker 1: on New Year's Eve captured the global mood rather well. 5 00:00:22,840 --> 00:00:27,280 Speaker 1: I thought. We're stepping nervously into January, wondering whether this 6 00:00:27,680 --> 00:00:31,040 Speaker 1: might be the year things finally get back to normal, 7 00:00:31,720 --> 00:00:34,120 Speaker 1: trying to ignore the fact that nearly everyone we know 8 00:00:34,240 --> 00:00:37,560 Speaker 1: either just recovered from COVID or recently had a positive test. 9 00:00:38,280 --> 00:00:40,600 Speaker 1: Also that many of us in the US and Europe 10 00:00:40,800 --> 00:00:44,920 Speaker 1: are once again working from home. So the first question 11 00:00:44,920 --> 00:00:48,520 Speaker 1: on our agenda must be how is the latest wave 12 00:00:48,600 --> 00:00:52,960 Speaker 1: of omicron infection affecting the global economy so far? And 13 00:00:53,080 --> 00:00:56,240 Speaker 1: especially what's happening to that great snarl up in global 14 00:00:56,240 --> 00:01:00,960 Speaker 1: supply chains that so dominated this podcast. In one we 15 00:01:01,000 --> 00:01:03,600 Speaker 1: have the absolute latest on that in a minute from 16 00:01:03,600 --> 00:01:07,560 Speaker 1: our supply chains are Brendon Murray. But even if COVID 17 00:01:07,720 --> 00:01:11,039 Speaker 1: starts to fade from view, we know the pandemic will 18 00:01:11,080 --> 00:01:13,600 Speaker 1: probably change some parts of the global economy for good, 19 00:01:15,080 --> 00:01:18,840 Speaker 1: including maybe Mexico, which looks a lot more attractive to 20 00:01:18,880 --> 00:01:23,840 Speaker 1: global manufacturers now than it did before COVID. Thomas Black 21 00:01:24,040 --> 00:01:27,120 Speaker 1: has a report from sea quares just south of the 22 00:01:27,200 --> 00:01:31,120 Speaker 1: US border. Later on, we also have the sad tale 23 00:01:31,120 --> 00:01:34,959 Speaker 1: of fishermen and divers on the island of Iki off 24 00:01:34,959 --> 00:01:38,199 Speaker 1: the coast of Nagasaki, whose way of life is already 25 00:01:38,200 --> 00:01:41,000 Speaker 1: threatened by climate change, but may now also be hard 26 00:01:41,080 --> 00:01:44,480 Speaker 1: hit by the Japanese government's efforts to cut the country's 27 00:01:44,520 --> 00:01:50,920 Speaker 1: reliance on fossil fuels. I swim here every day, but 28 00:01:51,040 --> 00:01:54,360 Speaker 1: the sea is dead now. At the bottom of the sea, 29 00:01:55,240 --> 00:02:02,320 Speaker 1: it really feels like, definitely set. They are only optimates 30 00:02:02,400 --> 00:02:06,440 Speaker 1: in there. Not our usual fare perhaps, but a parable 31 00:02:06,480 --> 00:02:09,200 Speaker 1: of our times. That story coming up later from our 32 00:02:09,280 --> 00:02:13,600 Speaker 1: japan economy reporter Yoshiaki Nohara, But first let's have that 33 00:02:13,800 --> 00:02:18,519 Speaker 1: update from our supply chain group Brendan Murray. This omicron 34 00:02:18,919 --> 00:02:22,639 Speaker 1: spread so dramatically in the last few weeks of twenty one, 35 00:02:23,200 --> 00:02:25,839 Speaker 1: I guess many of us felt we might be coming 36 00:02:25,880 --> 00:02:28,360 Speaker 1: back from our Christmas holidays and find the world ground 37 00:02:28,360 --> 00:02:30,639 Speaker 1: to a halt. Again. It's early days, but what is 38 00:02:30,720 --> 00:02:34,880 Speaker 1: the early evidence on the impact that the omicron wave 39 00:02:35,000 --> 00:02:38,799 Speaker 1: is having. Well, the early evidence is showing that the 40 00:02:39,600 --> 00:02:43,240 Speaker 1: global economy and supply chains in particular, are sort of 41 00:02:43,280 --> 00:02:48,840 Speaker 1: withstanding the initial outbreaks, whether they be in France or 42 00:02:48,880 --> 00:02:51,680 Speaker 1: the UK or the US. Uh. You know, a lot 43 00:02:51,720 --> 00:02:56,639 Speaker 1: of companies have built in resilience plans to deal with 44 00:02:57,000 --> 00:03:00,360 Speaker 1: workers as they as they call in sick. But still 45 00:03:00,400 --> 00:03:04,720 Speaker 1: there are a number of of of hotspots where all 46 00:03:04,760 --> 00:03:09,280 Speaker 1: of these cases are are affecting the ability of companies 47 00:03:09,280 --> 00:03:12,400 Speaker 1: to to to have enough workers to move goods through 48 00:03:12,440 --> 00:03:15,200 Speaker 1: the pipeline that they need to move through. So we 49 00:03:15,200 --> 00:03:18,720 Speaker 1: were seeing some signs that uh, you know, supply chains 50 00:03:18,720 --> 00:03:21,160 Speaker 1: were starting to repair themselves towards the end of the 51 00:03:21,240 --> 00:03:25,400 Speaker 1: year after a very disruptive year. But then Omicron you know, came, 52 00:03:25,760 --> 00:03:28,320 Speaker 1: you know with a vengeance in December and kind of 53 00:03:28,400 --> 00:03:32,560 Speaker 1: slowed whatever progress we were seeing. So we're entering two 54 00:03:33,120 --> 00:03:36,160 Speaker 1: with you know, even more question marks about the health 55 00:03:36,640 --> 00:03:40,520 Speaker 1: of the global trade and whether goods can continue to 56 00:03:40,560 --> 00:03:43,760 Speaker 1: move as as well as they have or as poorly 57 00:03:43,800 --> 00:03:45,880 Speaker 1: as they have in a lot of cases for the 58 00:03:45,880 --> 00:03:49,280 Speaker 1: past two years. And I guess that the latest news 59 00:03:49,320 --> 00:03:51,960 Speaker 1: has been that that even a very small number of 60 00:03:52,000 --> 00:03:56,520 Speaker 1: cases in China is causing them to have quite dramatic shutdowns. 61 00:03:57,080 --> 00:04:00,720 Speaker 1: Um in a number of places. UM, we we know, 62 00:04:01,200 --> 00:04:04,240 Speaker 1: even if we're going to hear later that some businesses 63 00:04:04,280 --> 00:04:07,760 Speaker 1: are trying to just to change that, but currently they 64 00:04:07,760 --> 00:04:10,760 Speaker 1: there is a lot of reliance on Chinese production, and 65 00:04:10,840 --> 00:04:16,080 Speaker 1: you've got complete shutdowns in at least a couple of 66 00:04:16,240 --> 00:04:20,000 Speaker 1: big cities talk of of barshor in towns like Sheene 67 00:04:20,080 --> 00:04:24,400 Speaker 1: where their local supply chains are breaking down. If that 68 00:04:24,560 --> 00:04:27,880 Speaker 1: is the story for for several weeks, if China starts 69 00:04:27,920 --> 00:04:31,000 Speaker 1: having even the more national lockdown, I mean, that's surely 70 00:04:31,680 --> 00:04:35,520 Speaker 1: gonna slow down this improvement in the state of supply 71 00:04:35,600 --> 00:04:38,720 Speaker 1: chains exactly. This is the real wild card this year, 72 00:04:39,200 --> 00:04:44,840 Speaker 1: especially in coastal towns where where ports are big employers 73 00:04:45,040 --> 00:04:48,159 Speaker 1: and you know, important for the movement of goods you know, 74 00:04:48,200 --> 00:04:51,039 Speaker 1: into China and out of China. There are you know, 75 00:04:51,160 --> 00:04:55,839 Speaker 1: several hundred ships, you know, currently waiting outside of Ningbo, 76 00:04:56,360 --> 00:04:59,520 Speaker 1: you know, one of the world's busiest ports, and the 77 00:04:59,680 --> 00:05:03,239 Speaker 1: truck are slow to come and go from this port, 78 00:05:03,640 --> 00:05:06,799 Speaker 1: and that just backs the whole system up those trying 79 00:05:06,839 --> 00:05:09,599 Speaker 1: to get in to offload and then to reload and 80 00:05:09,640 --> 00:05:12,039 Speaker 1: to come back to the States or to Europe. So 81 00:05:12,400 --> 00:05:16,000 Speaker 1: that is really the big question, is the supply chains 82 00:05:16,000 --> 00:05:20,159 Speaker 1: are really at the mercy of the virus, and especially China, 83 00:05:20,600 --> 00:05:23,440 Speaker 1: which you know kind of is the gateway to much 84 00:05:23,480 --> 00:05:27,360 Speaker 1: of the world's consumer goods and raw materials for that matter. 85 00:05:27,480 --> 00:05:30,520 Speaker 1: So those shut downs to the zero tolerance policy in 86 00:05:30,640 --> 00:05:33,400 Speaker 1: China for for COVID cases is really going to be 87 00:05:34,120 --> 00:05:38,560 Speaker 1: the thing to watch as to whether supply chains can 88 00:05:39,040 --> 00:05:42,240 Speaker 1: you know, kind of rebound or or stay as as 89 00:05:42,640 --> 00:05:46,240 Speaker 1: nodded and tangled as they are. We tend to think 90 00:05:46,240 --> 00:05:50,800 Speaker 1: of the impact of OMCORN as being about hospitalizations and 91 00:05:50,960 --> 00:05:53,360 Speaker 1: is it you know, that the public health consequences, which 92 00:05:53,360 --> 00:05:57,200 Speaker 1: obviously could be significant if enough people get COVID, particularly 93 00:05:57,240 --> 00:06:01,520 Speaker 1: people who are not vaccinated. But what you're speaking to 94 00:06:01,800 --> 00:06:05,919 Speaker 1: is this the sort of economic impact which comes not 95 00:06:06,040 --> 00:06:08,440 Speaker 1: so much from people in hospital but just people being 96 00:06:08,480 --> 00:06:11,800 Speaker 1: at home. And I can say in the UK we're 97 00:06:11,839 --> 00:06:14,160 Speaker 1: probably in the sort of front line of this at 98 00:06:14,160 --> 00:06:17,000 Speaker 1: the moment, having been the first developed economy to see 99 00:06:17,400 --> 00:06:21,680 Speaker 1: a big spike in in infections. The worst case scenarios 100 00:06:21,680 --> 00:06:25,000 Speaker 1: that the government's working with is that of the workforce 101 00:06:25,200 --> 00:06:27,200 Speaker 1: might be at home in a few weeks, in the 102 00:06:27,200 --> 00:06:29,720 Speaker 1: next couple of weeks, which, obviously, if that happens, you've 103 00:06:29,720 --> 00:06:33,000 Speaker 1: got some pretty important workers who are not on the 104 00:06:33,040 --> 00:06:36,800 Speaker 1: border controls, or not in the supermarkets, or not in hospitals. 105 00:06:37,240 --> 00:06:39,520 Speaker 1: So it's going to be very interesting to see how 106 00:06:39,560 --> 00:06:41,440 Speaker 1: that plays out. But you do get the sense Brendon 107 00:06:41,480 --> 00:06:44,719 Speaker 1: that whatever happens, we're going to know quite quickly, because 108 00:06:44,760 --> 00:06:47,320 Speaker 1: it really is spreading so fast through the economy. If 109 00:06:47,360 --> 00:06:51,919 Speaker 1: you look past the next couple of months, um, what 110 00:06:52,040 --> 00:06:55,640 Speaker 1: are the sort of structural elements of the supply chain story, 111 00:06:56,080 --> 00:06:59,640 Speaker 1: um that might start to fall into place over the 112 00:06:59,680 --> 00:07:01,960 Speaker 1: next year. You know, people talk, for example about just 113 00:07:02,480 --> 00:07:05,320 Speaker 1: they're ramping up of production of container ships and that 114 00:07:05,480 --> 00:07:08,640 Speaker 1: potentially having an impact. How do you see those kind 115 00:07:08,640 --> 00:07:12,440 Speaker 1: of more medium term forces playing out. Once we get 116 00:07:12,480 --> 00:07:16,640 Speaker 1: through this wave, we should start to see the benefits 117 00:07:16,680 --> 00:07:20,760 Speaker 1: of that diversification strategy that began a few years ago. 118 00:07:20,960 --> 00:07:23,720 Speaker 1: Actually even before the pandemic. During the U. S. China 119 00:07:23,760 --> 00:07:27,720 Speaker 1: Trade war, it dawned on people that protectionism was was 120 00:07:27,760 --> 00:07:31,640 Speaker 1: it was, it was a coming trend, and that tariffs 121 00:07:31,680 --> 00:07:33,720 Speaker 1: could go up at any point, and so you needed 122 00:07:33,760 --> 00:07:38,520 Speaker 1: to be geographically diverse. That it's not sustainable for them 123 00:07:38,560 --> 00:07:42,679 Speaker 1: to be sourcing only from you know, a country like China, 124 00:07:42,800 --> 00:07:48,560 Speaker 1: And they quickly developed different suppliers in Vietnam, Malaysia, places 125 00:07:48,600 --> 00:07:55,600 Speaker 1: like Mexico, Turkey, Morocco. So later this year, perhaps maybe 126 00:07:55,640 --> 00:07:58,400 Speaker 1: even next year, we should start to see the ability 127 00:07:58,400 --> 00:08:01,920 Speaker 1: of companies to to get what they need when they 128 00:08:02,000 --> 00:08:05,480 Speaker 1: need it, as opposed to as opposed to all these 129 00:08:05,480 --> 00:08:08,240 Speaker 1: delays that we're seeing now. Some of those some of 130 00:08:08,280 --> 00:08:11,800 Speaker 1: those structural elements take a lot more time. Building of 131 00:08:12,160 --> 00:08:15,720 Speaker 1: chip factories and you know, that take you know, tens 132 00:08:15,720 --> 00:08:19,040 Speaker 1: of billions of dollars and decade or more. Uh, you know, 133 00:08:19,080 --> 00:08:21,320 Speaker 1: those kinds of things will take longer to come online. 134 00:08:21,400 --> 00:08:26,120 Speaker 1: But the diversification that the pandemic sort of unleashed, we 135 00:08:26,120 --> 00:08:29,160 Speaker 1: should start to see some of that. The capacity on 136 00:08:29,200 --> 00:08:34,520 Speaker 1: the transportation side, new ships, uh, you know, newport capacity, 137 00:08:34,559 --> 00:08:38,160 Speaker 1: cranes and and other you know, trucking and and these 138 00:08:38,240 --> 00:08:42,680 Speaker 1: kinds of things, the infrastructure spending, those are those should 139 00:08:42,679 --> 00:08:45,600 Speaker 1: be medium term things that we we see fairly soon. 140 00:08:46,559 --> 00:08:49,560 Speaker 1: Three is what a lot of the experts say will 141 00:08:49,559 --> 00:08:52,760 Speaker 1: be the earliest that will see any new container ships 142 00:08:52,800 --> 00:08:55,600 Speaker 1: come into operations. So we're looking at, you know, at 143 00:08:55,679 --> 00:08:59,440 Speaker 1: least six months to twelve months before we we see 144 00:08:59,480 --> 00:09:03,280 Speaker 1: any real relief on the structural sides. Of things well 145 00:09:03,320 --> 00:09:05,400 Speaker 1: bred and Murray. Thank you very much, and I'm especially 146 00:09:05,400 --> 00:09:07,840 Speaker 1: thankful because you've given me a great link into our 147 00:09:07,880 --> 00:09:11,920 Speaker 1: next item, because, as Brendan was saying that the pandemic 148 00:09:11,960 --> 00:09:15,840 Speaker 1: is going to leave a mark on global supply chains 149 00:09:15,960 --> 00:09:18,520 Speaker 1: and also the trade boards, it's not so long ago 150 00:09:18,559 --> 00:09:21,040 Speaker 1: that we were talking about trade boards. Used to be 151 00:09:21,080 --> 00:09:23,480 Speaker 1: that that cheap labor was all you really needed to 152 00:09:23,559 --> 00:09:28,360 Speaker 1: attract global manufacturing firms and become part of their intricate 153 00:09:28,400 --> 00:09:32,439 Speaker 1: supply chains, but not anymore. The pandemic has made businesses 154 00:09:33,040 --> 00:09:36,680 Speaker 1: wary of basing key parts of their production process on 155 00:09:36,720 --> 00:09:39,440 Speaker 1: the other side of the world, especially China, and for 156 00:09:39,480 --> 00:09:43,520 Speaker 1: those based in the US the last year, they've also 157 00:09:43,559 --> 00:09:46,240 Speaker 1: found it a lot more challenging to find any workers 158 00:09:46,280 --> 00:09:49,800 Speaker 1: at all at any price. So all of that, it 159 00:09:49,840 --> 00:09:53,239 Speaker 1: turns out, has been rather good news for a country 160 00:09:53,440 --> 00:09:56,520 Speaker 1: teaming with willing workers that also happens to share a 161 00:09:56,520 --> 00:09:59,480 Speaker 1: two thousand mile border with the US are Dallas based 162 00:09:59,559 --> 00:10:03,320 Speaker 1: manufact Cacturing reporter Thomas Black went south of the border 163 00:10:03,480 --> 00:10:09,880 Speaker 1: for a closer look. We have very big plans for Mexico. 164 00:10:10,840 --> 00:10:15,880 Speaker 1: In Mexico is very very important market for ours. That's 165 00:10:15,920 --> 00:10:19,840 Speaker 1: Isaac Larion, the founder and CEO of mg A Entertainment, 166 00:10:20,440 --> 00:10:24,319 Speaker 1: Los Angeles based toymaker. You've probably seen or even bought 167 00:10:24,400 --> 00:10:27,080 Speaker 1: some of the toys made by m g A, from 168 00:10:27,160 --> 00:10:31,000 Speaker 1: dolls like Brats to the iconic Little Tykes cozy coupe. 169 00:10:31,760 --> 00:10:35,080 Speaker 1: That's the bubble shaped plastic car that toddlers can climb 170 00:10:35,120 --> 00:10:38,960 Speaker 1: in empower with their own feet. So what do toys 171 00:10:39,000 --> 00:10:42,480 Speaker 1: have to do with Mexico. Well, mg A now makes 172 00:10:42,559 --> 00:10:45,360 Speaker 1: that Little Tykes toy car. And see that what is 173 00:10:45,800 --> 00:10:48,760 Speaker 1: a dust swept border city just across the Rio Grand 174 00:10:48,840 --> 00:10:53,160 Speaker 1: from El Paso, Texas. The company's set up the factory 175 00:10:53,679 --> 00:10:56,640 Speaker 1: only a few miles from the US border and in 176 00:10:56,720 --> 00:11:01,360 Speaker 1: just nine months, beginning operations in November. And those big 177 00:11:01,400 --> 00:11:04,800 Speaker 1: plans for Mexico that Larry and just spoke about, they're 178 00:11:04,840 --> 00:11:08,079 Speaker 1: part of a strategy to shorten mg a's supply chain. 179 00:11:09,360 --> 00:11:11,520 Speaker 1: Last year was a wake up call for m A. 180 00:11:12,360 --> 00:11:15,440 Speaker 1: The company makes most of its toys in China and 181 00:11:15,559 --> 00:11:19,840 Speaker 1: also has a large US plant in Hudson, Ohio, but 182 00:11:20,040 --> 00:11:25,640 Speaker 1: both proved problematic. While the Chinese factories performed, mg A 183 00:11:25,880 --> 00:11:29,120 Speaker 1: ended up with seven hundred and fifty shipping containers filled 184 00:11:29,160 --> 00:11:33,400 Speaker 1: with millions of dollars of toys stuck outside the port 185 00:11:33,440 --> 00:11:37,320 Speaker 1: of Los Angeles and completely missing the holiday shopping season. 186 00:11:38,360 --> 00:11:41,960 Speaker 1: Adding insult to injury, the expense for sending those containers 187 00:11:41,960 --> 00:11:45,760 Speaker 1: from China to the U S had skyrocketed from three thousand, 188 00:11:45,760 --> 00:11:51,400 Speaker 1: two hundred dollars a container to an astonishing sixteen thousand dollars. 189 00:11:52,440 --> 00:11:55,120 Speaker 1: But back in the US, the company couldn't crank up 190 00:11:55,120 --> 00:11:59,160 Speaker 1: production at its Ohio plant because it couldn't find enough workers. 191 00:11:59,200 --> 00:12:06,319 Speaker 1: To hire American workers if they are even available. I 192 00:12:06,440 --> 00:12:11,080 Speaker 1: don't want to work in factories or forms. So we 193 00:12:11,120 --> 00:12:16,080 Speaker 1: are moving across the borders into Mexico. We just opened 194 00:12:16,160 --> 00:12:20,600 Speaker 1: up our first factory in Uarez, Mexico, and we did 195 00:12:20,640 --> 00:12:24,240 Speaker 1: it in the record time. M g A isn't alone 196 00:12:24,280 --> 00:12:27,560 Speaker 1: in increasing production in Mexico, and it's a trend that 197 00:12:28,040 --> 00:12:32,000 Speaker 1: is only getting started. According to Jason Tolliver from real 198 00:12:32,120 --> 00:12:37,120 Speaker 1: estate firm Cushman and Wakefield, the whole idea about sourcing 199 00:12:37,240 --> 00:12:40,880 Speaker 1: was in the global connectivity, was to drive down production costs. 200 00:12:41,440 --> 00:12:43,600 Speaker 1: A couple of things that made that more expensive. First, 201 00:12:43,720 --> 00:12:46,240 Speaker 1: just to supply the Chaine disruption. So whether it's a 202 00:12:46,280 --> 00:12:50,439 Speaker 1: pandemic or whether it's everything related to sustainability and and 203 00:12:50,440 --> 00:12:55,200 Speaker 1: and natural disasters or anythinks of the cost transportation costs 204 00:12:55,200 --> 00:12:59,360 Speaker 1: a kind of or less reliable. But labors also got up. 205 00:12:59,600 --> 00:13:02,880 Speaker 1: And how companies looking at these problems of higher labor 206 00:13:02,960 --> 00:13:05,600 Speaker 1: costs in China and the risks of sending their goods 207 00:13:05,640 --> 00:13:09,640 Speaker 1: across the Pacific Ocean to the US. We see production 208 00:13:09,679 --> 00:13:13,240 Speaker 1: companies saying, Okay, I've got three options. I can move 209 00:13:13,360 --> 00:13:17,160 Speaker 1: to other areas in Southeast Asia, Vietnam, Me and mar 210 00:13:17,360 --> 00:13:20,840 Speaker 1: perhaps India, but I don't have as reliable energy, I 211 00:13:20,840 --> 00:13:22,960 Speaker 1: don't have as good of infrastructure that I don't have 212 00:13:23,080 --> 00:13:27,560 Speaker 1: that it's harder to transport. I can move further inland 213 00:13:27,760 --> 00:13:31,199 Speaker 1: into western China, or labor costs are a little bit 214 00:13:31,200 --> 00:13:33,960 Speaker 1: lower and I can take advantage of, you know, the 215 00:13:34,120 --> 00:13:36,320 Speaker 1: infrastructure that they have, but I still have all my 216 00:13:36,360 --> 00:13:40,480 Speaker 1: exit one basket. Or I can become more regional shortness 217 00:13:40,520 --> 00:13:44,400 Speaker 1: supply chain, come back to the America's manufacturer in Mexico 218 00:13:44,640 --> 00:13:47,840 Speaker 1: at lower wage rate, and then push into the US. 219 00:13:48,280 --> 00:13:52,240 Speaker 1: And that's really what's drawing people back. Mexico didn't become 220 00:13:52,240 --> 00:13:56,880 Speaker 1: a magnet for foreign factories by accident. The country started 221 00:13:56,880 --> 00:13:59,960 Speaker 1: pushing for manufacturing investment back in the late nineties six 222 00:14:00,040 --> 00:14:04,079 Speaker 1: teas with a program designed to entice factories to Mexico's 223 00:14:04,120 --> 00:14:08,880 Speaker 1: northern border, where the unemployment rate sword and poverty was crushing. 224 00:14:09,880 --> 00:14:12,960 Speaker 1: There are now almost six thousand, five hundred of the 225 00:14:13,040 --> 00:14:17,719 Speaker 1: so called Miki Ladora factories throughout Mexico that employed more 226 00:14:17,720 --> 00:14:22,600 Speaker 1: than three million workers. Since the pandemic, even more plants 227 00:14:22,600 --> 00:14:28,200 Speaker 1: are popping up, particularly in what Is. Excavators and bulldozers 228 00:14:28,280 --> 00:14:32,360 Speaker 1: swarmed the city, carving out foundations for industrial plants from 229 00:14:32,360 --> 00:14:36,640 Speaker 1: the sandy soil of the vast Chihuahuan desert. This one 230 00:14:36,760 --> 00:14:39,120 Speaker 1: right here, this is a new built to suit for 231 00:14:39,240 --> 00:14:42,600 Speaker 1: Warner Ladder. To your left, it's about four or fifty 232 00:14:42,600 --> 00:14:46,480 Speaker 1: thousands for feet and they already half presents here, but 233 00:14:46,680 --> 00:14:51,800 Speaker 1: they're bringing in lines from the USA UM and then 234 00:14:51,920 --> 00:14:55,240 Speaker 1: here to your ride. This is our newest development that 235 00:14:55,360 --> 00:14:59,480 Speaker 1: we're developing for buildings a total about seven hundred thousands 236 00:14:59,520 --> 00:15:02,960 Speaker 1: were feet. That's Jesse Melendus. He's the director of real 237 00:15:03,080 --> 00:15:06,880 Speaker 1: estate and new business development for Intermax, a Mexican company 238 00:15:06,920 --> 00:15:10,560 Speaker 1: that was a pioneer for providing industrial space for foreign 239 00:15:10,600 --> 00:15:15,520 Speaker 1: companies along the border. He's driving through what is showing 240 00:15:15,560 --> 00:15:19,560 Speaker 1: off the construction boom that has taken hold here. Industrial 241 00:15:19,640 --> 00:15:24,240 Speaker 1: real estate is tight in this city of space has 242 00:15:24,280 --> 00:15:27,400 Speaker 1: been leased, and price per score foot has jumped more 243 00:15:27,480 --> 00:15:32,240 Speaker 1: than twenty percent from a year earlier. But a lot 244 00:15:32,280 --> 00:15:35,240 Speaker 1: will depend on how the economy performs in the US 245 00:15:35,560 --> 00:15:40,000 Speaker 1: or Mexico sells about eight percent of its exports. We're 246 00:15:40,040 --> 00:15:48,320 Speaker 1: seeing more US companies that are Indesia coming to Mexico 247 00:15:48,920 --> 00:15:53,040 Speaker 1: and not the US, So instead of saying re shoring US, 248 00:15:53,160 --> 00:15:57,480 Speaker 1: it's more like reshoring North America. One of the Mexican 249 00:15:57,520 --> 00:16:01,520 Speaker 1: factory workers helping to make this possible is Fraying Gonzalez. 250 00:16:02,280 --> 00:16:05,560 Speaker 1: The forty nine year old earns one thousand, eight hundred 251 00:16:05,600 --> 00:16:09,960 Speaker 1: paces a week, or about ninety dollars plus benefits. Had 252 00:16:09,960 --> 00:16:12,920 Speaker 1: a plant recently built by the unit of China's Kiss 253 00:16:13,000 --> 00:16:17,320 Speaker 1: and Technology that makes suggestible beds. Like many workers in 254 00:16:17,400 --> 00:16:22,400 Speaker 1: what is, Gonzales migrated north from southern Mexico, where jobs 255 00:16:22,440 --> 00:16:28,760 Speaker 1: are scarce and pay is even lower. I've been here 256 00:16:28,800 --> 00:16:32,200 Speaker 1: in Ware's for two years. Over there in Vera Cruz, 257 00:16:32,600 --> 00:16:36,280 Speaker 1: there's no work for Mexico. This could be the start 258 00:16:36,320 --> 00:16:39,800 Speaker 1: of a prolonged period of foreign investment from companies seeking 259 00:16:40,240 --> 00:16:44,400 Speaker 1: to shortened supply lines, reduce risk and keep costs in check. 260 00:16:45,200 --> 00:16:49,800 Speaker 1: Plant manager Menicio Garcia is convinced that this is Mexico's 261 00:16:49,920 --> 00:16:52,920 Speaker 1: manufacturing moment. Do you think there's going to be more 262 00:16:53,520 --> 00:17:01,000 Speaker 1: manufacturing coming that was done in China coming to and 263 00:17:01,080 --> 00:17:24,320 Speaker 1: see what our quid is Mexico. I'm Thomas Black. Now, 264 00:17:24,440 --> 00:17:27,920 Speaker 1: whatever impact the pandemic might ultimately have on our world, 265 00:17:28,480 --> 00:17:30,760 Speaker 1: it's not going to come close to the global consequences 266 00:17:30,800 --> 00:17:34,520 Speaker 1: of climate change. Will surely see more extreme weather events 267 00:17:34,640 --> 00:17:38,040 Speaker 1: in the coming twelve months and government actions to reduce 268 00:17:38,119 --> 00:17:40,960 Speaker 1: our reliance on fossil fuels that could affect us all. 269 00:17:41,640 --> 00:17:45,160 Speaker 1: And the message from the scientists is this stuff is complicated. 270 00:17:45,680 --> 00:17:49,920 Speaker 1: The forces we've unleashed are going to interact in unpredictable ways, 271 00:17:50,280 --> 00:17:52,200 Speaker 1: even if we do all the right things from now 272 00:17:52,320 --> 00:17:55,800 Speaker 1: on a big if we have a story now that 273 00:17:55,960 --> 00:17:59,920 Speaker 1: teaches that lesson in a particularly powerful way. From a 274 00:18:00,040 --> 00:18:04,680 Speaker 1: corner of Japan you've probably never heard of. Here's Yoshiaki Nohara. 275 00:18:18,160 --> 00:18:23,639 Speaker 1: It's before dawn at the Japanese fish market. I'm on 276 00:18:23,720 --> 00:18:29,560 Speaker 1: a remote island called iky off the Nagasaki coastline. In 277 00:18:29,640 --> 00:18:35,040 Speaker 1: a matter of seconds. Bias snap up. Japanese butterfish, yellowtail, 278 00:18:35,200 --> 00:18:40,240 Speaker 1: and red snapper all needs to replaced in cases of ice. 279 00:18:42,080 --> 00:18:46,480 Speaker 1: I'm overwhelmed by the vigor and speed of the auction, 280 00:18:47,800 --> 00:18:51,840 Speaker 1: But every fisherman I speak to says this is nothing 281 00:18:52,520 --> 00:18:58,359 Speaker 1: compared to their heyday years ago. They all signed the 282 00:18:58,600 --> 00:19:04,920 Speaker 1: same corporate behind their decline higher water temperatures due to 283 00:19:05,080 --> 00:19:09,840 Speaker 1: global warming. They've all been coping with the effects of 284 00:19:10,040 --> 00:19:16,400 Speaker 1: rising temperatures for years, long before Ikey became the fastest 285 00:19:16,480 --> 00:19:20,760 Speaker 1: city in Japan to declare a climate emergency in two 286 00:19:20,840 --> 00:19:28,200 Speaker 1: thousand nineteen. You have knows the fisher we used to 287 00:19:28,359 --> 00:19:32,239 Speaker 1: find around here have been moving up north. We are 288 00:19:32,280 --> 00:19:36,280 Speaker 1: getting fewer and fewer of them. They don't stay here 289 00:19:36,440 --> 00:19:41,360 Speaker 1: for long anymore. Water temperatures have risen by about one 290 00:19:41,400 --> 00:19:50,879 Speaker 1: degree celsius compared with the old days. That was Terataka Okubo, 291 00:19:51,720 --> 00:19:57,080 Speaker 1: head of the Katsmoto Fishery Cooperative. He's seventy five and 292 00:19:57,200 --> 00:20:00,359 Speaker 1: has seen the wax and wane of the local issery. 293 00:20:01,720 --> 00:20:04,960 Speaker 1: Most boys he grew up with skipped to high school 294 00:20:05,400 --> 00:20:10,040 Speaker 1: to become fishermen, but now many leave the island in 295 00:20:10,200 --> 00:20:13,959 Speaker 1: search of college and jobs. The city has now about 296 00:20:14,240 --> 00:20:24,119 Speaker 1: twenty people, just half of its population. In climate change 297 00:20:24,680 --> 00:20:29,920 Speaker 1: isn't just twomorrow's problem here in Ikey. All generations living 298 00:20:30,000 --> 00:20:34,159 Speaker 1: on the island see a needful action, but hard The 299 00:20:34,280 --> 00:20:39,480 Speaker 1: reality is that in isolation, their efforts to transform the 300 00:20:39,680 --> 00:20:45,439 Speaker 1: island's energy supplies to renewables won't stop temperatures from rising. 301 00:20:46,359 --> 00:20:50,520 Speaker 1: Neither way they provide enough jobs to stop the exodus 302 00:20:50,920 --> 00:20:55,920 Speaker 1: from the island. Generating windpower could also end up being 303 00:20:56,000 --> 00:21:05,480 Speaker 1: more destructive for Ikey's fishing industry. Three small boats returned 304 00:21:05,560 --> 00:21:09,119 Speaker 1: after the sun rises and all the best fish have 305 00:21:09,280 --> 00:21:15,440 Speaker 1: been sold at market. Fishermen casually offload that catches on 306 00:21:15,560 --> 00:21:20,000 Speaker 1: the concrete. They don't care whether the fish are dead 307 00:21:20,119 --> 00:21:26,040 Speaker 1: or alive. They cought not because they're variable, but because 308 00:21:26,119 --> 00:21:30,280 Speaker 1: they eat so much seaweed. They're disrupting the food chain 309 00:21:30,400 --> 00:21:34,720 Speaker 1: in the local waters. One fish code is zumi. A 310 00:21:34,840 --> 00:21:40,080 Speaker 1: striped brushy fish is particularly bad and arrived in drops 311 00:21:40,400 --> 00:21:48,080 Speaker 1: from more tropical waters. The seaweed is all gone. That's 312 00:21:48,119 --> 00:21:51,200 Speaker 1: a roted me to the fact that something is critically wrong. 313 00:21:52,520 --> 00:21:56,160 Speaker 1: Fish used to leave their eggs on the seaweed. All 314 00:21:56,320 --> 00:22:02,120 Speaker 1: of that is over. There are no sporting grounds here anymore. 315 00:22:08,800 --> 00:22:14,000 Speaker 1: I approached Shinozaki, who wears a straw hat and he's 316 00:22:14,119 --> 00:22:18,280 Speaker 1: chatting with his friends. Shinozuki is a fifty three year 317 00:22:18,320 --> 00:22:23,560 Speaker 1: old local diver. His catch of auchens and abaloni has 318 00:22:23,680 --> 00:22:29,760 Speaker 1: dwindled as the seaweed has disappeared. His days of harvesting 319 00:22:30,080 --> 00:22:35,119 Speaker 1: seventy abaloni in one day a long gone. In the 320 00:22:35,240 --> 00:22:40,119 Speaker 1: sixth month ending in September two thousan one, he didn't 321 00:22:40,160 --> 00:22:45,760 Speaker 1: manage to find even ten abaloni. Shinozaki tells me how 322 00:22:45,920 --> 00:22:51,520 Speaker 1: he can barely sustain his lifestyle anymore. Last winter, he 323 00:22:51,680 --> 00:22:55,720 Speaker 1: took a construction job in the Tokyo suburbs just to 324 00:22:55,920 --> 00:23:00,800 Speaker 1: make and smat The water is complete, really different. Now. 325 00:23:01,400 --> 00:23:04,040 Speaker 1: I can't tell if I'll be able to continue what 326 00:23:04,119 --> 00:23:07,680 Speaker 1: I'm doing for much longer, and I can't tell my 327 00:23:07,840 --> 00:23:14,840 Speaker 1: children to follow in my footsteps. My Shinozaki and others 328 00:23:15,320 --> 00:23:18,720 Speaker 1: let me hop on one of their boats and off 329 00:23:18,800 --> 00:23:24,600 Speaker 1: we go. The water is emerald green. I see rocks 330 00:23:24,680 --> 00:23:30,440 Speaker 1: at the bottom, clearly the scenes of pure beauty for tourists, 331 00:23:30,760 --> 00:23:35,880 Speaker 1: I'm sure, but not for people like Shinzuki, who remember 332 00:23:35,960 --> 00:23:39,040 Speaker 1: the water that used to be home to dark for 333 00:23:39,160 --> 00:23:43,360 Speaker 1: a sub seaweed. The city of Ikey has been developing 334 00:23:43,520 --> 00:23:47,840 Speaker 1: land based wind and solar power projects to prevent temperatures 335 00:23:48,160 --> 00:23:53,120 Speaker 1: from rising higher. It's now aiming for offshore wind farms 336 00:23:53,320 --> 00:23:59,040 Speaker 1: to make its power generation one renewable by two fifty, 337 00:23:59,800 --> 00:24:05,200 Speaker 1: up from the current thirteen percent. That's in line with 338 00:24:05,280 --> 00:24:10,119 Speaker 1: the Japan's target to go carbon neutral by two fifty. 339 00:24:10,880 --> 00:24:16,080 Speaker 1: The nation is aiming to boost renewable energy like wind, solar, 340 00:24:16,359 --> 00:24:22,119 Speaker 1: and hydrogen to cut its reliance on fastil viewers. Ikey 341 00:24:22,359 --> 00:24:27,120 Speaker 1: and other rural towns have abandoned space and natural resources 342 00:24:27,520 --> 00:24:35,639 Speaker 1: to power that transition. Ikey's mayor, Hirokazu Shirokawa fully supports 343 00:24:36,119 --> 00:24:40,800 Speaker 1: the government's willingness to take on climate change. God the 344 00:24:42,200 --> 00:24:44,879 Speaker 1: people may say, what's the point of this small island 345 00:24:45,000 --> 00:24:48,760 Speaker 1: declaring a climate emergency, But that's helped us to raise 346 00:24:48,800 --> 00:24:52,680 Speaker 1: awareness about this issue. We've got to take action otherwise 347 00:24:52,840 --> 00:24:58,199 Speaker 1: nothing is going to change. Still, such a dramatic transformation 348 00:24:58,560 --> 00:25:03,919 Speaker 1: will have a cost for local fishermen, Shirakawa says, they 349 00:25:03,960 --> 00:25:06,160 Speaker 1: won't be able to carry on in the same way 350 00:25:07,119 --> 00:25:10,560 Speaker 1: radio waves in sound from wind turbine blades will impact 351 00:25:10,640 --> 00:25:13,720 Speaker 1: our fishing. I think we need the power company to 352 00:25:13,960 --> 00:25:21,399 Speaker 1: guarantee some kind of compensation for our fishermen. Okubo, the 353 00:25:21,520 --> 00:25:25,320 Speaker 1: head of the local fishery cooperative, so the offshore wind 354 00:25:25,400 --> 00:25:29,240 Speaker 1: farm will impact of fishing grounds, even though he's not 355 00:25:29,480 --> 00:25:33,440 Speaker 1: sure what the impact will be, but sticking with the 356 00:25:33,600 --> 00:25:39,560 Speaker 1: status quo will only guarantee ongoing decline for fishermen. Understand, 357 00:25:42,400 --> 00:25:46,080 Speaker 1: it's untried the territory for us. We don't know what's 358 00:25:46,119 --> 00:25:50,680 Speaker 1: going to happen until we go with it. It's hell 359 00:25:50,880 --> 00:25:54,200 Speaker 1: for us if we do it, and it's hell for 360 00:25:54,400 --> 00:25:59,880 Speaker 1: us if we don't. If we just sit tight, things 361 00:26:00,000 --> 00:26:05,520 Speaker 1: will keep going downhill and the proparation degline isn't going 362 00:26:05,640 --> 00:26:12,320 Speaker 1: to stop. Okubo's predicament speaks to the price that rural 363 00:26:12,440 --> 00:26:15,639 Speaker 1: communities will have to pay, even if we manage to 364 00:26:15,720 --> 00:26:22,000 Speaker 1: meet global emissions targets. Both in Japan and abroad, Locals 365 00:26:22,280 --> 00:26:26,000 Speaker 1: like Hisaa Takeo are fearful of what's the transition to 366 00:26:26,160 --> 00:26:29,920 Speaker 1: renew Boenecy will mean for Ikey and its fishing industry. 367 00:26:33,440 --> 00:26:38,760 Speaker 1: I'm against it. Abalone and other sea creatures are very sensitive, 368 00:26:39,600 --> 00:26:43,199 Speaker 1: and things like wind turbines go in the water, they 369 00:26:43,240 --> 00:26:50,680 Speaker 1: will disappear. So are you not. Takeo is one of 370 00:26:50,720 --> 00:26:55,680 Speaker 1: the area's famous female diverse who've been catching abalone and 371 00:26:55,800 --> 00:27:02,160 Speaker 1: other sea creatures for generations. Turbines only the latest threats 372 00:27:02,280 --> 00:27:06,280 Speaker 1: to marine life She's witnessed in more than fifty years 373 00:27:06,440 --> 00:27:12,280 Speaker 1: of diving. Tidal currents have moved, typhoons have become worse, 374 00:27:12,840 --> 00:27:17,200 Speaker 1: and without the buff of the seaweed, waves have become stronger. 375 00:27:18,119 --> 00:27:22,479 Speaker 1: Warmer waters have meant she can stay in the water longer, 376 00:27:23,200 --> 00:27:29,400 Speaker 1: but there's less to catch. I swim her every day, 377 00:27:30,080 --> 00:27:33,159 Speaker 1: but the sea is dead now. At the bottom of 378 00:27:33,200 --> 00:27:38,159 Speaker 1: the sea, it really feels like death. Want on it? 379 00:27:40,200 --> 00:28:07,600 Speaker 1: She in Aptimus And for Bloomberg News, I'm Yo shaky Nohara. Sorry, 380 00:28:08,040 --> 00:28:10,399 Speaker 1: not a happy ending this week for Stephanomics. We'll try 381 00:28:10,480 --> 00:28:13,120 Speaker 1: to do better next time. But for good and bad 382 00:28:13,200 --> 00:28:16,159 Speaker 1: news about the global economy. Do follow at Economics on 383 00:28:16,280 --> 00:28:19,280 Speaker 1: Twitter and rate this podcast, especially if you like it. 384 00:28:20,160 --> 00:28:23,320 Speaker 1: This episode was produced by the Magnis Hendrickson and Yoshi's 385 00:28:23,359 --> 00:28:27,320 Speaker 1: story from Japan was edited by Paul Jackson. Special thanks 386 00:28:27,359 --> 00:28:32,160 Speaker 1: also to Chester Dawson, Yoshito Kubo, to Yoshi in Ajima, 387 00:28:32,680 --> 00:28:37,760 Speaker 1: Takaki Iwabu Go or mitsu Yuko Takeo and Lucy Meekin. 388 00:28:38,480 --> 00:28:41,600 Speaker 1: Mike Sasso is executive producer of Stephanomics, and the head 389 00:28:41,640 --> 00:28:44,000 Speaker 1: of Bloomberg Podcast is Francesco Levy.