1 00:00:00,040 --> 00:00:03,160 Speaker 1: They put an alarm on my door that alerts my 2 00:00:04,200 --> 00:00:07,680 Speaker 1: kind of my property management building are building management whenever 3 00:00:07,720 --> 00:00:10,200 Speaker 1: I opened the door, and I'm only allowed to open 4 00:00:10,280 --> 00:00:13,119 Speaker 1: the door to put the trash outside and to pick 5 00:00:13,200 --> 00:00:16,160 Speaker 1: up food that's delivered or any items I have delivered. 6 00:00:16,520 --> 00:00:18,919 Speaker 1: I have to report my temperature to three different re 7 00:00:19,079 --> 00:00:22,119 Speaker 1: check groups every day, twice a day. Beijing is just 8 00:00:22,160 --> 00:00:24,720 Speaker 1: on high alert. It's kind of more paranoid than any 9 00:00:24,760 --> 00:00:31,080 Speaker 1: other city in China. Hello, and welcome to Stephanomics, the 10 00:00:31,120 --> 00:00:39,720 Speaker 1: podcast that brings the global economy to you, which this 11 00:00:39,760 --> 00:00:43,280 Speaker 1: week includes the inside of Sharon Chen's apartment in Beijing. 12 00:00:43,800 --> 00:00:46,239 Speaker 1: She's the Beijing bureau chief of Bloomberg and she's in 13 00:00:46,320 --> 00:00:49,839 Speaker 1: quarantine because she's just returned from a reporting trip to Whuhan. 14 00:00:50,520 --> 00:00:52,639 Speaker 1: I wanted to talk to her because we're focusing this 15 00:00:52,680 --> 00:00:55,840 Speaker 1: week on what the path out of lockdown might look 16 00:00:55,880 --> 00:00:58,640 Speaker 1: like for all of our economies. Our chief economists for 17 00:00:58,680 --> 00:01:01,360 Speaker 1: Europe in the Middle East, Jamie, has been looking at 18 00:01:01,400 --> 00:01:04,600 Speaker 1: how quickly the economy could come back depending on which 19 00:01:04,600 --> 00:01:07,440 Speaker 1: measures are removed and when are we talking to him 20 00:01:07,480 --> 00:01:09,840 Speaker 1: in a minute, and also playing you part of a 21 00:01:09,880 --> 00:01:12,399 Speaker 1: conversation I had with the former president of the European 22 00:01:12,440 --> 00:01:17,080 Speaker 1: Central Bank, Jean Clautriche. But first let's hear more about 23 00:01:17,120 --> 00:01:20,160 Speaker 1: that trip to the city of Wuhan, first into the 24 00:01:20,200 --> 00:01:28,920 Speaker 1: crisis and now first out. Yes, so we went to 25 00:01:29,000 --> 00:01:34,120 Speaker 1: Wuhan on April four, just before the quarantine was lifted 26 00:01:34,160 --> 00:01:37,240 Speaker 1: on April eight. The idea was to go there and see, 27 00:01:37,640 --> 00:01:40,280 Speaker 1: you know, how does the city of more than ten 28 00:01:40,319 --> 00:01:44,120 Speaker 1: million people emerged from lockdown and it's the first city 29 00:01:44,400 --> 00:01:47,200 Speaker 1: in the world that went through it. And throughout this 30 00:01:47,240 --> 00:01:51,520 Speaker 1: whole process, this virus outbreak, Wuhan has kind of been 31 00:01:51,600 --> 00:01:53,560 Speaker 1: ahead of the curve. Did have been the first city 32 00:01:53,600 --> 00:01:55,240 Speaker 1: to deal with it and then now the first city 33 00:01:55,280 --> 00:01:56,840 Speaker 1: to be locked down and then the first city to 34 00:01:56,920 --> 00:01:59,200 Speaker 1: try to get back to normal. And we thought that 35 00:01:59,280 --> 00:02:02,720 Speaker 1: going there maybe give us some clues about what kinds 36 00:02:02,760 --> 00:02:05,720 Speaker 1: of things would happen when other big cities try to 37 00:02:06,040 --> 00:02:08,880 Speaker 1: emerge from lockdown. Yeah, so that was the idea behind 38 00:02:08,880 --> 00:02:11,679 Speaker 1: the trip. And now that I'm back in Beijing, I've 39 00:02:11,680 --> 00:02:14,080 Speaker 1: been quarantined in my apartment for fourteen days and I 40 00:02:14,120 --> 00:02:19,520 Speaker 1: can't leave on on Wohan. What what struck you most 41 00:02:19,880 --> 00:02:24,760 Speaker 1: immediately about the experience there, because, as you say, we 42 00:02:24,800 --> 00:02:28,960 Speaker 1: do look to Wuhan as an extreme example of the 43 00:02:29,040 --> 00:02:31,720 Speaker 1: impact of the virus, but also a place that was 44 00:02:31,800 --> 00:02:34,960 Speaker 1: quite far ahead of everywhere else. Yeah, I mean, I 45 00:02:35,000 --> 00:02:37,760 Speaker 1: think my biggest takeaway is that it was really kind 46 00:02:37,800 --> 00:02:42,040 Speaker 1: of a two speed recovery or like coming back to normal. 47 00:02:42,120 --> 00:02:45,160 Speaker 1: So you had the resumption of work and that was 48 00:02:45,440 --> 00:02:50,160 Speaker 1: really apparent and really immediate, especially because it was something 49 00:02:50,200 --> 00:02:53,000 Speaker 1: that the government was pushing. So the day we arrived 50 00:02:53,040 --> 00:02:55,360 Speaker 1: there were there was hardly any traffic, and by the 51 00:02:55,360 --> 00:02:57,480 Speaker 1: time we were leaving ten days later, we were getting 52 00:02:57,520 --> 00:03:00,720 Speaker 1: stuck in traffic constantly at rush hour because people were 53 00:03:00,760 --> 00:03:03,200 Speaker 1: going to work. You know, factories were working at full 54 00:03:03,240 --> 00:03:06,880 Speaker 1: production capacity. They were working through the weekends, they worked 55 00:03:06,880 --> 00:03:08,760 Speaker 1: through the long holiday that we were there to make 56 00:03:08,840 --> 00:03:12,400 Speaker 1: up for all the lost time. But in terms of consumption, 57 00:03:12,480 --> 00:03:14,880 Speaker 1: you know, the shopping malls were open, the restaurants were open, 58 00:03:14,960 --> 00:03:17,840 Speaker 1: but they were basically empty. No one was eating out. 59 00:03:18,160 --> 00:03:20,320 Speaker 1: Even the few people that we spoke to in the 60 00:03:20,360 --> 00:03:22,799 Speaker 1: mall said that they don't think that they would go 61 00:03:22,880 --> 00:03:25,560 Speaker 1: out like they used to before just for fun um, 62 00:03:25,720 --> 00:03:28,360 Speaker 1: you know, they would really only go out for essential activities. 63 00:03:28,760 --> 00:03:34,000 Speaker 1: People were still scared. I think both of the virus, 64 00:03:34,080 --> 00:03:38,360 Speaker 1: even though there are officially no cases in Mohan. Now, um, 65 00:03:38,400 --> 00:03:40,640 Speaker 1: they're they're both scared of the virus. It's kind of 66 00:03:40,720 --> 00:03:43,840 Speaker 1: I think a psychological hangover after being told for weeks 67 00:03:43,840 --> 00:03:45,960 Speaker 1: and weeks that it's very dangerous outside and you can't 68 00:03:45,960 --> 00:03:49,080 Speaker 1: go outside and it's dangerous interact with people. But they 69 00:03:49,080 --> 00:03:52,160 Speaker 1: were also scared of being quarantined again because in Mohan 70 00:03:52,240 --> 00:03:56,160 Speaker 1: they have this health code system, so you're either green, yellow, 71 00:03:56,280 --> 00:04:00,360 Speaker 1: or red, and even going into a shopping mall where 72 00:04:00,520 --> 00:04:04,000 Speaker 1: later someone else is either suspected or confirmed of having 73 00:04:04,000 --> 00:04:06,760 Speaker 1: the virus will turn your coat yellow and then you 74 00:04:06,800 --> 00:04:10,200 Speaker 1: can get quarantined again, and your housing compound can refuse 75 00:04:10,280 --> 00:04:13,520 Speaker 1: to let you leave the housing compound. So there's kind 76 00:04:13,520 --> 00:04:16,200 Speaker 1: of like this high level of paranoia about both those things, 77 00:04:16,240 --> 00:04:19,760 Speaker 1: both the virus and about being locked up again. So 78 00:04:19,960 --> 00:04:23,240 Speaker 1: I mean, I think consumer habits and just social habits 79 00:04:23,320 --> 00:04:26,560 Speaker 1: really have changed, and there was kind of this divergence 80 00:04:26,600 --> 00:04:30,320 Speaker 1: between going to work and going out for fun. Now 81 00:04:30,360 --> 00:04:32,400 Speaker 1: that's fascinating and I think and we are seeing that 82 00:04:32,440 --> 00:04:34,640 Speaker 1: when we're looking at the sort of high frequency economists 83 00:04:34,640 --> 00:04:38,000 Speaker 1: are now looking at the high frequency data in Beijing 84 00:04:38,080 --> 00:04:41,240 Speaker 1: and other cities and you can see this reel, there's 85 00:04:41,240 --> 00:04:42,760 Speaker 1: a sort of bat as you say, there's the kind 86 00:04:42,760 --> 00:04:45,520 Speaker 1: of supply side and the demand side. The supply side 87 00:04:46,080 --> 00:04:49,520 Speaker 1: shock as we used to talk about it has gone 88 00:04:49,600 --> 00:04:53,599 Speaker 1: because people are more or less back to work, But 89 00:04:53,760 --> 00:04:58,799 Speaker 1: anything that's to do with spending and consumer activity, particularly 90 00:04:58,839 --> 00:05:04,279 Speaker 1: at the weekends, is just still way below where it was. 91 00:05:05,000 --> 00:05:10,360 Speaker 1: And that's obviously concerning for economists thinking about how steep 92 00:05:10,440 --> 00:05:12,960 Speaker 1: the recovery is. When you look at Wuhan and then 93 00:05:13,000 --> 00:05:16,240 Speaker 1: you read people still talking about that v shaped recovery 94 00:05:16,279 --> 00:05:19,039 Speaker 1: that we turn everything back on again, do you think 95 00:05:19,080 --> 00:05:22,320 Speaker 1: that is is quite far off the map. Yeah, I 96 00:05:22,320 --> 00:05:24,680 Speaker 1: mean I think if you listen to you know, like 97 00:05:25,120 --> 00:05:28,200 Speaker 1: US President Donald Trump saying when we lift the lockdowns, 98 00:05:28,240 --> 00:05:31,280 Speaker 1: everything's going to go back to normal, it just seems 99 00:05:31,400 --> 00:05:35,400 Speaker 1: so far removed from what's happening in Buhan. You know, 100 00:05:35,520 --> 00:05:38,800 Speaker 1: just because people have the freedom to go outside doesn't 101 00:05:38,839 --> 00:05:41,320 Speaker 1: mean that they want to the idea of people sitting 102 00:05:41,360 --> 00:05:44,480 Speaker 1: in a crowded restaurant or going to watch a movie 103 00:05:44,560 --> 00:05:47,719 Speaker 1: in a theater or going to a concert. I mean, like, 104 00:05:47,760 --> 00:05:50,080 Speaker 1: I don't think anyone in Wuhan would even consider that 105 00:05:50,200 --> 00:05:53,760 Speaker 1: within the realm of possibility. Being at home for so long, 106 00:05:53,880 --> 00:05:57,480 Speaker 1: I think it's really changed people in the long term, 107 00:05:57,560 --> 00:06:01,039 Speaker 1: Like people are just more used to eating at home, 108 00:06:01,560 --> 00:06:04,719 Speaker 1: used to cooking at home, not really going out getting 109 00:06:04,720 --> 00:06:09,120 Speaker 1: food delivered. We also interviewed a restaurant owner. He off 110 00:06:09,160 --> 00:06:12,120 Speaker 1: his ten restaurants. None of them have reopened. The original 111 00:06:12,120 --> 00:06:15,760 Speaker 1: plan was for him to reopen three, and then when 112 00:06:15,800 --> 00:06:18,800 Speaker 1: he realized that nobody's going out anyway, he decided he 113 00:06:18,880 --> 00:06:21,560 Speaker 1: was just going to reopen one, and eventually he reopened 114 00:06:21,600 --> 00:06:25,800 Speaker 1: none of them. And he said, you know, people now 115 00:06:25,880 --> 00:06:27,520 Speaker 1: they don't go out for lunch on their lunch hour. 116 00:06:27,680 --> 00:06:30,680 Speaker 1: Everyone's bringing lunch to the office, like bringing home cooked food. 117 00:06:31,000 --> 00:06:32,720 Speaker 1: So all these little things that are really going to 118 00:06:32,839 --> 00:06:38,280 Speaker 1: impact businesses like his, especially small businesses, I think, and 119 00:06:38,320 --> 00:06:40,640 Speaker 1: I think it gives that point of the permanence of 120 00:06:40,720 --> 00:06:42,760 Speaker 1: some of these costs. We know, as you said, the 121 00:06:42,800 --> 00:06:46,839 Speaker 1: manufacturers are quickly doing the orders that got put on hold, 122 00:06:47,000 --> 00:06:49,760 Speaker 1: and you could imagine that they might get back eight 123 00:06:49,960 --> 00:06:52,080 Speaker 1: or ninety percent of what they would have had. You know, 124 00:06:52,080 --> 00:06:54,520 Speaker 1: they'll grow much faster now in the classic kind of 125 00:06:54,600 --> 00:06:58,640 Speaker 1: recovery way and catch up that lost ground. But in 126 00:06:58,680 --> 00:07:01,680 Speaker 1: the service sector and spending on things like restaurants. We 127 00:07:01,800 --> 00:07:04,120 Speaker 1: just we know that we're not going to be eating 128 00:07:04,160 --> 00:07:06,880 Speaker 1: twice as many restaurant meals in the second half of 129 00:07:06,920 --> 00:07:08,599 Speaker 1: the year. But what you're telling me is that we 130 00:07:08,680 --> 00:07:12,240 Speaker 1: may not even be eating half the level of our 131 00:07:12,320 --> 00:07:15,040 Speaker 1: normal level. That could really have an impact on the 132 00:07:15,080 --> 00:07:17,760 Speaker 1: pace of the recovery. Well, Sharon, so how long have 133 00:07:17,800 --> 00:07:20,040 Speaker 1: you got before that bell goes off your front door? 134 00:07:20,280 --> 00:07:22,000 Speaker 1: How when do you when do you get to see 135 00:07:22,000 --> 00:07:25,200 Speaker 1: the sun, to feel the sunshine again? So I have 136 00:07:25,400 --> 00:07:29,640 Speaker 1: seven days to go, but Beijing has just said that 137 00:07:29,720 --> 00:07:32,480 Speaker 1: my district is a high risk area because they discovered 138 00:07:32,520 --> 00:07:36,360 Speaker 1: a cluster. A student from the US came back and 139 00:07:36,760 --> 00:07:39,880 Speaker 1: tested positive for the virus two days after he completed 140 00:07:39,920 --> 00:07:43,040 Speaker 1: his fourteen day quarantine. So there's been some rumors that 141 00:07:43,080 --> 00:07:45,160 Speaker 1: they could extend it to twenty one days, but so 142 00:07:45,200 --> 00:07:47,400 Speaker 1: far that hasn't happened. So fingers crossed that I get 143 00:07:47,480 --> 00:07:51,840 Speaker 1: up in a week. Good luck, fingers crossed, and thanks 144 00:07:51,880 --> 00:07:54,400 Speaker 1: so much for all the reporting you're doing. Thank you. 145 00:07:59,720 --> 00:08:01,840 Speaker 1: I We'll be hearing more from Sharon and others in 146 00:08:01,920 --> 00:08:04,440 Speaker 1: China in the weeks and months ahead as we start 147 00:08:04,480 --> 00:08:07,920 Speaker 1: to see and feel what life looks like after lockdown. 148 00:08:08,640 --> 00:08:11,120 Speaker 1: But now we have some new numbers to feed into 149 00:08:11,160 --> 00:08:14,640 Speaker 1: that conversation brought to us by our chief Amire economist, 150 00:08:14,680 --> 00:08:20,080 Speaker 1: Jamie Rush. Firstly, I should thank you for all that 151 00:08:20,120 --> 00:08:24,280 Speaker 1: you're doing with the Europe team and globally. But something 152 00:08:24,320 --> 00:08:27,920 Speaker 1: you did last week I thought was particularly interesting trying 153 00:08:27,960 --> 00:08:32,520 Speaker 1: to take a stab at thinking about the economic impact 154 00:08:32,640 --> 00:08:35,920 Speaker 1: of different stages of lockdown. And I guess what's the 155 00:08:35,960 --> 00:08:39,000 Speaker 1: relevance of that to anybody thinking about where we go 156 00:08:39,120 --> 00:08:42,120 Speaker 1: from here? As we know now that it's not going 157 00:08:42,120 --> 00:08:45,560 Speaker 1: to be like flicking a switch when we start to 158 00:08:45,679 --> 00:08:49,240 Speaker 1: move out of lockdown, we'll probably go through several stages. 159 00:08:49,920 --> 00:08:52,000 Speaker 1: What did you do to try and get a handle 160 00:08:52,080 --> 00:08:54,679 Speaker 1: on what that might mean for the economy and what 161 00:08:54,720 --> 00:08:57,640 Speaker 1: were the results? So the starting point for our analysis 162 00:08:57,760 --> 00:08:59,880 Speaker 1: was to look at what's been going on in France. 163 00:09:00,520 --> 00:09:03,040 Speaker 1: In that country, the Statistics Office has published quite a 164 00:09:03,080 --> 00:09:07,360 Speaker 1: lots of information about how lockdowns are affecting the economy, 165 00:09:07,480 --> 00:09:11,960 Speaker 1: and what they've found is that the lockdown period has 166 00:09:12,000 --> 00:09:15,800 Speaker 1: coincided with a falling output around about a third. But 167 00:09:15,880 --> 00:09:19,840 Speaker 1: we've combined that information with some data from the Platonic 168 00:09:19,920 --> 00:09:24,040 Speaker 1: School of Government, which has gone around and measured the 169 00:09:24,080 --> 00:09:28,160 Speaker 1: stringency of of measures across countries. So when we look 170 00:09:28,200 --> 00:09:31,199 Speaker 1: at the output loss, it's about thirty and when we 171 00:09:31,240 --> 00:09:35,959 Speaker 1: look at the stringency index it's it's that's one data 172 00:09:36,000 --> 00:09:37,800 Speaker 1: point to the other data point we have is that 173 00:09:37,840 --> 00:09:42,200 Speaker 1: we know that when stringency is is zero, the output 174 00:09:42,200 --> 00:09:44,800 Speaker 1: loss is going to be zero. So the question that 175 00:09:44,840 --> 00:09:47,440 Speaker 1: we've been asking ourselves is is it reasonable to draw 176 00:09:47,480 --> 00:09:51,560 Speaker 1: a line from zero to and then just read across 177 00:09:52,040 --> 00:09:55,120 Speaker 1: what that means for output and to kind of get 178 00:09:55,160 --> 00:09:59,000 Speaker 1: a sense of whether that is reasonable. We've looked at 179 00:09:59,040 --> 00:10:02,400 Speaker 1: other indications, so we know that different stringency measures have 180 00:10:02,440 --> 00:10:05,440 Speaker 1: been in place across countries, and we've plotted those against 181 00:10:05,440 --> 00:10:07,040 Speaker 1: the change in the p m I in those countries, 182 00:10:07,080 --> 00:10:09,640 Speaker 1: so we can see that actually they do look sort 183 00:10:09,640 --> 00:10:12,560 Speaker 1: of linear, and the same is true when you look 184 00:10:12,600 --> 00:10:15,920 Speaker 1: at traffic congestion. So the second step in our analysis 185 00:10:16,280 --> 00:10:20,400 Speaker 1: was to take the Platonic School's methodology, unpack it, and 186 00:10:20,440 --> 00:10:23,959 Speaker 1: then create a stringency reading from scratch. So a scenario 187 00:10:24,760 --> 00:10:28,200 Speaker 1: for moderate containment measures. So we assume, for example that 188 00:10:28,679 --> 00:10:32,200 Speaker 1: UM school. Some schools are still shut, but many are open. 189 00:10:32,559 --> 00:10:35,280 Speaker 1: Some businesses are allowed to open, but but many remain 190 00:10:35,360 --> 00:10:38,120 Speaker 1: shut and so on, and so we think this is 191 00:10:38,160 --> 00:10:42,480 Speaker 1: consistent with a phased withdrawal of containment measures. And what 192 00:10:42,559 --> 00:10:45,120 Speaker 1: we found is that when you move from this full 193 00:10:45,160 --> 00:10:49,439 Speaker 1: lockdown back to the sort of phasing out of containment measures, 194 00:10:49,640 --> 00:10:53,720 Speaker 1: the output loss drops from about thirty five to about 195 00:10:54,880 --> 00:10:58,480 Speaker 1: so that step down is likely to be quite large. 196 00:10:58,920 --> 00:11:01,920 Speaker 1: And we came into the thinking that it would be 197 00:11:01,960 --> 00:11:07,640 Speaker 1: a V shaped recovery. We've progressively deepened the V. You know, 198 00:11:07,679 --> 00:11:11,240 Speaker 1: we've had to increase our estimate of the short term 199 00:11:11,280 --> 00:11:14,800 Speaker 1: impact of these shutdowns. You talked about the thirty five 200 00:11:14,800 --> 00:11:18,160 Speaker 1: percent impact in France of a more or less total shutdown. 201 00:11:19,720 --> 00:11:22,200 Speaker 1: Have we also changed our view of the shape of 202 00:11:22,240 --> 00:11:24,880 Speaker 1: the recovery? What do you actually think the recovery is 203 00:11:24,880 --> 00:11:26,800 Speaker 1: going to look like now? If it's not a V, 204 00:11:27,920 --> 00:11:29,720 Speaker 1: is it an L? Is it a you? What do 205 00:11:29,760 --> 00:11:32,560 Speaker 1: you think? I think what we've learned in the past 206 00:11:32,600 --> 00:11:35,720 Speaker 1: few weeks is which governments are stepping up to the 207 00:11:35,720 --> 00:11:40,040 Speaker 1: plate and offering the fiscal support that is required for 208 00:11:40,360 --> 00:11:44,040 Speaker 1: persistent effects on output to be avoided after the pandemic passes. 209 00:11:44,760 --> 00:11:47,079 Speaker 1: And we're also seeing which governments aren't stepping up to 210 00:11:47,120 --> 00:11:49,480 Speaker 1: the plates, So I think in the in the doing 211 00:11:49,520 --> 00:11:52,720 Speaker 1: the right thing category, we have have Germany and we 212 00:11:52,760 --> 00:11:56,400 Speaker 1: have the UK, both of which are offering substantial income 213 00:11:56,440 --> 00:11:59,240 Speaker 1: support to businesses a lot of liquidity to loan, so 214 00:11:59,480 --> 00:12:02,480 Speaker 1: the comp these don't go bust. Time will tell whether 215 00:12:02,480 --> 00:12:04,800 Speaker 1: that has come fast enough to prevent the worst damage 216 00:12:04,800 --> 00:12:07,959 Speaker 1: from being done. But our base cases that these are 217 00:12:07,960 --> 00:12:11,840 Speaker 1: economies that are likely to bounce back relatively quickly, but 218 00:12:11,880 --> 00:12:14,600 Speaker 1: not all countries are are doing enough, so I think 219 00:12:14,640 --> 00:12:18,280 Speaker 1: Italy and Spain probably fall into that category. The fiscal 220 00:12:18,320 --> 00:12:21,800 Speaker 1: support isn't as forthcoming as it is elsewhere, and this 221 00:12:21,880 --> 00:12:24,840 Speaker 1: means that the damage is going to be the more pronounced, 222 00:12:25,200 --> 00:12:27,120 Speaker 1: and this damage is going to be hard to reverse. 223 00:12:27,160 --> 00:12:30,160 Speaker 1: So once companies go bust, it takes time for new 224 00:12:30,200 --> 00:12:32,640 Speaker 1: ones to spring up. And what we don't know is 225 00:12:32,720 --> 00:12:34,760 Speaker 1: what sort of condition the banking sector is going to 226 00:12:34,800 --> 00:12:36,440 Speaker 1: be in after all this, so they may not even 227 00:12:36,480 --> 00:12:39,120 Speaker 1: be the loans available for new businesses to start, so 228 00:12:39,600 --> 00:12:42,040 Speaker 1: there's um. I think these countries are the ones where 229 00:12:42,400 --> 00:12:45,440 Speaker 1: the bounce back it's likely to be smaller, and they're 230 00:12:45,440 --> 00:12:48,720 Speaker 1: also the ones that risk the slowest recoveries in future 231 00:12:48,800 --> 00:12:52,679 Speaker 1: quarters and the consequences of the economy not bouncing back 232 00:12:52,720 --> 00:12:55,079 Speaker 1: in the second half a huge If you can run 233 00:12:55,120 --> 00:12:58,439 Speaker 1: a persistent output gap for many years, that will push 234 00:12:58,480 --> 00:13:03,199 Speaker 1: debt up by a huge margin, whereas the a short 235 00:13:03,400 --> 00:13:07,760 Speaker 1: chart shock is likely to have a smaller long run impact. Well, 236 00:13:07,760 --> 00:13:10,120 Speaker 1: and you raise it. That's a key point, I mean, 237 00:13:10,280 --> 00:13:12,040 Speaker 1: and it's a good way of thinking about it that 238 00:13:12,120 --> 00:13:15,280 Speaker 1: if you're spending a lot of money now, you are 239 00:13:15,320 --> 00:13:19,560 Speaker 1: directly investing in the gradient of your recovery. You're you're 240 00:13:19,640 --> 00:13:24,000 Speaker 1: you're investing in a faster bounce back, and that obviously 241 00:13:24,040 --> 00:13:26,760 Speaker 1: would be a contrast with the recovery we had after 242 00:13:26,760 --> 00:13:30,400 Speaker 1: the global financial crisis, where we saw that there was 243 00:13:30,440 --> 00:13:33,840 Speaker 1: a lingering effect and a much slower rate of growth 244 00:13:33,880 --> 00:13:37,840 Speaker 1: for many years after the crisis. Obviously hoping that that 245 00:13:37,880 --> 00:13:40,360 Speaker 1: doesn't happen this time. But your point about Spain and 246 00:13:40,440 --> 00:13:44,200 Speaker 1: Italy actually in particular has a very high debt stock. 247 00:13:44,559 --> 00:13:47,600 Speaker 1: There's much more constraints on it in terms of how 248 00:13:47,679 --> 00:13:50,840 Speaker 1: much it can spend right now. But the implication of 249 00:13:50,880 --> 00:13:53,600 Speaker 1: what you're saying is if they don't spend now and 250 00:13:53,679 --> 00:13:58,240 Speaker 1: have that much more costly recession, slower recovery in the 251 00:13:58,280 --> 00:14:02,400 Speaker 1: long run, that's worse for debt. I think that's absolutely right. 252 00:14:02,600 --> 00:14:05,680 Speaker 1: So if they spend more now and debt rises relative 253 00:14:05,720 --> 00:14:09,520 Speaker 1: to GDP by say ten percentage points, that's not a disaster. 254 00:14:09,720 --> 00:14:12,120 Speaker 1: That's that's about as good as things can possibly look. 255 00:14:12,760 --> 00:14:15,920 Speaker 1: Far more costly would be spending too little now, the 256 00:14:15,960 --> 00:14:19,800 Speaker 1: economy failing to recover, and debt spiraling out of control 257 00:14:19,960 --> 00:14:22,320 Speaker 1: as the deficit is impossible to bring back down again. 258 00:14:22,960 --> 00:14:25,400 Speaker 1: There were some pretty striking figures were used to work 259 00:14:25,400 --> 00:14:29,720 Speaker 1: the Office for Budget Responsibility, the Britain's fiscal watchdog Ransom 260 00:14:30,000 --> 00:14:33,040 Speaker 1: what it considered to be sort of illustrative numbers on 261 00:14:33,120 --> 00:14:36,120 Speaker 1: the public finances for the kind of hit to the 262 00:14:36,160 --> 00:14:39,920 Speaker 1: economy that you were talking about at the beginning um 263 00:14:40,400 --> 00:14:44,880 Speaker 1: and had the implication was a pretty big jump in 264 00:14:45,840 --> 00:14:49,320 Speaker 1: public debt. When you think now, if you had to say, 265 00:14:49,440 --> 00:14:50,840 Speaker 1: how do you think that's going to be paid for? 266 00:14:50,880 --> 00:14:52,640 Speaker 1: Are we going to be looking at a big increase 267 00:14:52,640 --> 00:14:54,200 Speaker 1: in taxes at the end of this or are we 268 00:14:54,320 --> 00:14:56,840 Speaker 1: just going to say, Okay, now we've we've had this 269 00:14:57,280 --> 00:14:59,640 Speaker 1: big crisis and we've just got a higher debt and 270 00:14:59,640 --> 00:15:02,680 Speaker 1: now we're going to carry on light before So I 271 00:15:02,720 --> 00:15:05,360 Speaker 1: think once we get the other side of this crisis, 272 00:15:06,160 --> 00:15:09,440 Speaker 1: debt's going to be a lot higher, and some countries 273 00:15:09,480 --> 00:15:13,400 Speaker 1: are going to feel pressure to reduce it. And I think, actually, 274 00:15:13,440 --> 00:15:17,720 Speaker 1: that's that's relatively that's sensible. Um, if we just allowed 275 00:15:17,760 --> 00:15:20,720 Speaker 1: debt to rise by temper percentage points every time there's 276 00:15:20,720 --> 00:15:23,400 Speaker 1: a crisis, then at some point you reach a position 277 00:15:23,400 --> 00:15:28,320 Speaker 1: of unsustainability and defaults of what follows. So I think 278 00:15:29,080 --> 00:15:31,440 Speaker 1: it's it is the case that some of these debts 279 00:15:31,480 --> 00:15:34,480 Speaker 1: are going to have to be repaid. Um. It doesn't 280 00:15:34,480 --> 00:15:37,160 Speaker 1: have to be repaid fast. Our storia doesn't have to 281 00:15:37,200 --> 00:15:40,800 Speaker 1: happen before the economy is recovered. But in the long run, yes, 282 00:15:40,800 --> 00:15:43,760 Speaker 1: it's going to have to be financed by by higher taxes. 283 00:15:44,600 --> 00:15:46,920 Speaker 1: And you know, I think that there are ways of 284 00:15:46,960 --> 00:15:48,880 Speaker 1: there are ways of doing that. I mean, exactly who 285 00:15:49,160 --> 00:15:52,640 Speaker 1: experiences or feels the burden most is a question for 286 00:15:52,640 --> 00:15:56,520 Speaker 1: the politicians. But you know, look at Germany's history of 287 00:15:56,600 --> 00:15:59,320 Speaker 1: paying for reunification. It was done with the tax that 288 00:15:59,400 --> 00:16:03,840 Speaker 1: was explicit linked to the activity is intended to finance. Um, 289 00:16:03,920 --> 00:16:06,640 Speaker 1: something like that wouldn't be completely mad. I don't think 290 00:16:06,800 --> 00:16:09,680 Speaker 1: in the in the future, Jamie, I'm sure we'll have 291 00:16:09,680 --> 00:16:11,560 Speaker 1: plenty more to talk about in the next few months, 292 00:16:11,560 --> 00:16:17,480 Speaker 1: but thanks very much. As it happens, I just chaired 293 00:16:17,520 --> 00:16:20,800 Speaker 1: an online discussion on some of these issues for something 294 00:16:20,800 --> 00:16:24,800 Speaker 1: called the Global Solutions Initiative. There were some lofty participants 295 00:16:24,800 --> 00:16:27,240 Speaker 1: who said lots of interesting things, But let me just 296 00:16:27,320 --> 00:16:29,840 Speaker 1: play you a few comments from the former President of 297 00:16:29,840 --> 00:16:34,000 Speaker 1: the European Central Bank, Jean Clautriche on the scary subject 298 00:16:34,240 --> 00:16:41,600 Speaker 1: of global government debt. We are cumulating an enormous amount 299 00:16:41,640 --> 00:16:48,880 Speaker 1: of additional public spendings we had since the former previous crisis, 300 00:16:49,200 --> 00:16:53,760 Speaker 1: an accumulation of indebtedness at the global level, graphically all 301 00:16:53,880 --> 00:16:58,320 Speaker 1: countries apart from a very few countries. Germany is a 302 00:16:58,400 --> 00:17:02,080 Speaker 1: case in point, but practically the only casing point. So 303 00:17:02,560 --> 00:17:06,240 Speaker 1: we we have to be absolutely aware of the fact 304 00:17:06,760 --> 00:17:11,080 Speaker 1: that there would be enormous problems not only to digest 305 00:17:11,359 --> 00:17:14,600 Speaker 1: what we are spending right now, but also what we 306 00:17:14,680 --> 00:17:20,960 Speaker 1: had unfortunately spent during the ten years after the previous crisis. 307 00:17:21,080 --> 00:17:23,399 Speaker 1: And then I have to say I am wearing a 308 00:17:23,440 --> 00:17:27,800 Speaker 1: lot for the example banks, because of course I eliminate hyperinflation, 309 00:17:27,880 --> 00:17:30,480 Speaker 1: which would be a solution to swallow the debt. The 310 00:17:30,760 --> 00:17:35,440 Speaker 1: enormous amount of that I eliminate the default or generalized 311 00:17:35,480 --> 00:17:41,240 Speaker 1: default data aviation restructuring that that would also be a 312 00:17:41,359 --> 00:17:44,840 Speaker 1: dramatic trauma, and I expect that we will avoid that. 313 00:17:44,960 --> 00:17:52,720 Speaker 1: But then what's left financial repression, hyper taxation, or a combination. 314 00:17:52,840 --> 00:17:55,919 Speaker 1: And there the sample banks have a very very important 315 00:17:56,000 --> 00:17:59,240 Speaker 1: role to play. A combination of very low interest rates 316 00:17:59,359 --> 00:18:02,960 Speaker 1: for a long, really good time together with a reasonable 317 00:18:03,040 --> 00:18:06,879 Speaker 1: level of inflation suddenly not the zero inflation or very 318 00:18:07,000 --> 00:18:09,360 Speaker 1: repreation we had in the past, and they've gone through 319 00:18:09,359 --> 00:18:17,720 Speaker 1: them that. Thanks for listening to Stephanomics. We'll be back 320 00:18:17,720 --> 00:18:20,639 Speaker 1: next week with more on how COVID nineteen is turning 321 00:18:20,680 --> 00:18:24,440 Speaker 1: the global economy upside down. Remember you can always find 322 00:18:24,520 --> 00:18:27,280 Speaker 1: us on the Bloomberg Terminal, website, app or wherever you 323 00:18:27,280 --> 00:18:30,640 Speaker 1: get your podcasts. For more news and analysis from Bloomberg 324 00:18:30,720 --> 00:18:34,600 Speaker 1: Economics through the week. You can follow as Economics on Twitter, 325 00:18:35,040 --> 00:18:37,520 Speaker 1: and you can also find me on at my Stephanomics. 326 00:18:38,480 --> 00:18:42,520 Speaker 1: This episode was produced by Magnus Hendrickson Special thanks to 327 00:18:42,560 --> 00:18:46,800 Speaker 1: Sharon Chen, Jamie Rush, Jean Clautriche and all at the 328 00:18:46,800 --> 00:18:50,720 Speaker 1: Global Solutions Initiative. Scott Lamon is the executive producer of 329 00:18:50,720 --> 00:18:54,360 Speaker 1: Stephanomics and the head of Bloomberg Podcast. Is Francesca Levi 330 00:19:00,520 --> 00:19:09,040 Speaker 1: the hand, the