1 00:00:09,039 --> 00:00:11,600 Speaker 1: Hello, and welcome to Stephanomics, the podcast that brings the 2 00:00:11,640 --> 00:00:14,320 Speaker 1: global economating you, and we have a special episode this 3 00:00:14,360 --> 00:00:17,200 Speaker 1: week featuring a conversation I had a few weeks ago 4 00:00:17,280 --> 00:00:20,480 Speaker 1: for RESET, a special two day conference on the future 5 00:00:20,520 --> 00:00:24,000 Speaker 1: of the US economy that Bloomberg Economics co produced with 6 00:00:24,040 --> 00:00:27,440 Speaker 1: the Aspen Institute. This exchange I wanted to play you 7 00:00:27,840 --> 00:00:32,080 Speaker 1: was with my friend Marianna Matsukata, professor in the economics 8 00:00:32,080 --> 00:00:35,800 Speaker 1: of Innovation and Public Value at University College London. Her 9 00:00:35,840 --> 00:00:40,479 Speaker 1: first book, The Entrepreneurial State, was very influential change the 10 00:00:40,520 --> 00:00:42,680 Speaker 1: way we think about the role that the public sector 11 00:00:42,720 --> 00:00:46,240 Speaker 1: has played in some of those great business success stories 12 00:00:46,280 --> 00:00:49,479 Speaker 1: of our time. And another one, The Value of Everything, 13 00:00:49,680 --> 00:00:53,199 Speaker 1: Making and Taking in the Global Economy, absolutely nailed the 14 00:00:53,200 --> 00:00:57,760 Speaker 1: way that a particular narrow conception of value had permeated, 15 00:00:58,040 --> 00:01:01,160 Speaker 1: indeed distorted the way we think about the economy and 16 00:01:01,240 --> 00:01:04,760 Speaker 1: society over the last hundred years. And she's just produced 17 00:01:04,760 --> 00:01:07,360 Speaker 1: a new book which also seems well timed for the 18 00:01:07,400 --> 00:01:10,319 Speaker 1: position we find ourselves in right now. It's called The 19 00:01:10,400 --> 00:01:15,280 Speaker 1: Mission Economy, A moon Shot Guide to Changing Capitalism. I 20 00:01:15,280 --> 00:01:18,240 Speaker 1: started by asking her about some of the big ideas 21 00:01:18,280 --> 00:01:20,800 Speaker 1: that had got her thinking about the moon shot as 22 00:01:20,840 --> 00:01:31,440 Speaker 1: a guide to policy. This extraction of value which I 23 00:01:31,440 --> 00:01:33,440 Speaker 1: talked about in the book The Value of Everything, the 24 00:01:33,560 --> 00:01:36,479 Speaker 1: kind of record level share buy backs in the last 25 00:01:36,520 --> 00:01:40,120 Speaker 1: ten years, for trillion dollars have gone to bind back 26 00:01:40,200 --> 00:01:43,480 Speaker 1: shares by the Fortune five companies. This is not the 27 00:01:43,520 --> 00:01:47,360 Speaker 1: way to run a society in terms of a corporate 28 00:01:48,080 --> 00:01:52,880 Speaker 1: business model. So, whether it's Larry Fink or the Business 29 00:01:52,960 --> 00:01:56,279 Speaker 1: Roundtable putting out the statement over a year ago about 30 00:01:56,320 --> 00:01:58,720 Speaker 1: you know, we need to rethink that model in terms 31 00:01:58,800 --> 00:02:03,080 Speaker 1: of reinvesting back into long run areas that help people, planet, 32 00:02:03,360 --> 00:02:06,400 Speaker 1: working conditions, and so on. And this conversation is a 33 00:02:06,480 --> 00:02:09,880 Speaker 1: very important one. We shouldn't dismiss it if we remind 34 00:02:09,880 --> 00:02:13,400 Speaker 1: ourselves that markets are not the same thing as business. 35 00:02:13,520 --> 00:02:17,160 Speaker 1: Markets are outcomes of how we govern business and how 36 00:02:17,200 --> 00:02:20,560 Speaker 1: we govern other types of value creating institutions. We also, 37 00:02:20,680 --> 00:02:23,000 Speaker 1: you know, present ourselves with the problem, which is how 38 00:02:23,120 --> 00:02:26,640 Speaker 1: is government governed? How is the public sector government? And 39 00:02:26,639 --> 00:02:28,640 Speaker 1: what I've been writing about now for some years is 40 00:02:28,639 --> 00:02:30,640 Speaker 1: that we also have a problem there. It's not just 41 00:02:30,760 --> 00:02:33,760 Speaker 1: corporate governance that needs to rethink itself. It's also kind 42 00:02:33,800 --> 00:02:37,320 Speaker 1: of government governance. The fact that economic theory, and I 43 00:02:37,320 --> 00:02:40,040 Speaker 1: don't want to blame economists, of which I'm one for everything, 44 00:02:40,080 --> 00:02:43,560 Speaker 1: but the fact that economic theory itself has at best 45 00:02:43,760 --> 00:02:47,120 Speaker 1: framed the role of the public sector, the state and 46 00:02:47,200 --> 00:02:51,880 Speaker 1: policy as simply fixing market failures is part of the problem. 47 00:02:52,000 --> 00:02:54,120 Speaker 1: We're not going to get there by simply putting different 48 00:02:54,120 --> 00:02:56,960 Speaker 1: types of patches on the system and the market failure 49 00:02:56,960 --> 00:02:59,720 Speaker 1: approach which forces government to always ask where is the 50 00:02:59,720 --> 00:03:02,079 Speaker 1: market failure? How am I going to fix it? That's 51 00:03:02,080 --> 00:03:04,680 Speaker 1: an important framework, but it's very hard to fix your 52 00:03:04,720 --> 00:03:08,799 Speaker 1: way towards transformational growth. And by transformational growth, by the way, 53 00:03:08,880 --> 00:03:11,320 Speaker 1: don't just mean these kind of big social objectives like 54 00:03:11,400 --> 00:03:14,120 Speaker 1: health and and climate. I also mean literally in terms 55 00:03:14,120 --> 00:03:16,919 Speaker 1: of the direction of growth. And in the UK we're 56 00:03:16,919 --> 00:03:19,880 Speaker 1: on standing today the kind of growth we have continues 57 00:03:19,960 --> 00:03:23,200 Speaker 1: to be consumption led growth, which has really led to 58 00:03:24,320 --> 00:03:28,040 Speaker 1: a very high ratio, for example, of private debt to 59 00:03:28,160 --> 00:03:31,440 Speaker 1: disposable income, not public debt, but private debt to disposable income. 60 00:03:31,639 --> 00:03:35,960 Speaker 1: So shifting that growth model from consumption to investment led 61 00:03:36,200 --> 00:03:40,040 Speaker 1: growth and innovation driven growth, and having that investment and 62 00:03:40,160 --> 00:03:44,480 Speaker 1: innovation help us solve some really important problems like the 63 00:03:44,520 --> 00:03:47,440 Speaker 1: ones around climate health and the sustainable development goals need 64 00:03:47,520 --> 00:03:50,480 Speaker 1: a different approach to policy making, one that I call 65 00:03:51,480 --> 00:03:55,440 Speaker 1: actively shaping and co creating markets alongside business, not just 66 00:03:55,720 --> 00:03:58,520 Speaker 1: fixing markets. And one thing that I found very curious 67 00:03:58,520 --> 00:04:01,080 Speaker 1: in the UK was is um you know, a lot 68 00:04:01,120 --> 00:04:03,640 Speaker 1: of the data that's come out since Brexit and now 69 00:04:03,680 --> 00:04:06,800 Speaker 1: with COVID has been showing just how much the government 70 00:04:06,840 --> 00:04:10,760 Speaker 1: has been overly relying on consulting companies Deloitte that ended 71 00:04:10,840 --> 00:04:12,880 Speaker 1: up being asked to roll out the test and trade 72 00:04:12,920 --> 00:04:16,040 Speaker 1: system and didn't do too well. But also with Brexit, 73 00:04:16,120 --> 00:04:19,920 Speaker 1: the KPMG, s Price Waterhouse Coopers and so on, which 74 00:04:20,040 --> 00:04:23,760 Speaker 1: ended up almost managing project managing Brexit for the government. 75 00:04:24,120 --> 00:04:29,680 Speaker 1: This over consultification of government. A Tory Lord Agnew said 76 00:04:29,720 --> 00:04:33,640 Speaker 1: that this was leading to an infantilized public sector. And 77 00:04:33,640 --> 00:04:36,640 Speaker 1: when you start outsourcing your brain, as I think the 78 00:04:36,720 --> 00:04:39,119 Speaker 1: US government has done in the recent years, one could 79 00:04:39,400 --> 00:04:42,200 Speaker 1: view the whole n Essay kind of Snowden scandal as 80 00:04:42,240 --> 00:04:45,560 Speaker 1: an outcome of the government almost losing its capability to 81 00:04:45,680 --> 00:04:50,400 Speaker 1: govern information computing in the technology revolution, that you have 82 00:04:50,600 --> 00:04:52,719 Speaker 1: a problem. So this is the reason that in the 83 00:04:52,760 --> 00:04:55,479 Speaker 1: recent book that I wrote, I asked, we'll hold on 84 00:04:55,520 --> 00:04:57,920 Speaker 1: a second. You know, we could do better. And only 85 00:04:58,000 --> 00:05:01,160 Speaker 1: fifty years ago, public and pri of its sectors worked 86 00:05:01,200 --> 00:05:05,360 Speaker 1: together extremely ambitiously um to get to the moon and back. 87 00:05:05,440 --> 00:05:08,440 Speaker 1: You know that that's a famous goal that Kennedy set 88 00:05:08,520 --> 00:05:12,320 Speaker 1: back in nineteen sixty two. The problems we have today 89 00:05:12,520 --> 00:05:17,080 Speaker 1: are much trickier. Actually, there's wicked problems. They require political, behavioral, 90 00:05:17,120 --> 00:05:21,000 Speaker 1: regulatory change, not just technological change. But it was truly 91 00:05:21,080 --> 00:05:25,160 Speaker 1: a partnership. There was both business and government doing incredibly 92 00:05:25,160 --> 00:05:28,680 Speaker 1: difficult things. And what was especially interesting to me is 93 00:05:28,800 --> 00:05:32,520 Speaker 1: how government, through NASA but also some other public institutions, 94 00:05:32,560 --> 00:05:35,920 Speaker 1: paid a lot of attention to the how to partner 95 00:05:36,040 --> 00:05:38,240 Speaker 1: with business, and they even looked at the contracts and 96 00:05:38,440 --> 00:05:41,280 Speaker 1: undid the existing contracts. And will come to that in 97 00:05:41,279 --> 00:05:44,120 Speaker 1: a minute. But the kind of leadership that was required 98 00:05:44,160 --> 00:05:46,520 Speaker 1: by government to set the direction of change and then 99 00:05:46,560 --> 00:05:49,960 Speaker 1: catalyze a lot of risk taking bottom up amongst different 100 00:05:49,960 --> 00:05:53,479 Speaker 1: actors in society. So you know, Kennedy's speech was very clear, 101 00:05:53,520 --> 00:05:55,400 Speaker 1: this is going to cost a huge amount of money, 102 00:05:55,839 --> 00:05:57,960 Speaker 1: but it's going to be worth it. And focusing on 103 00:05:58,000 --> 00:06:00,680 Speaker 1: the goal and then backtracking on the budget, all these 104 00:06:00,680 --> 00:06:04,280 Speaker 1: are just really interesting lessons I think today as we 105 00:06:04,320 --> 00:06:07,920 Speaker 1: need to build back better that famous slogan, but especially 106 00:06:08,000 --> 00:06:10,760 Speaker 1: rethink the organizations that we have in both government and 107 00:06:10,800 --> 00:06:13,279 Speaker 1: in business. And you know what's quite striking is that 108 00:06:13,320 --> 00:06:16,560 Speaker 1: when Kennedy, you know, did his speech, they had no 109 00:06:16,640 --> 00:06:19,040 Speaker 1: clue how to get to the moon. So literally the 110 00:06:19,080 --> 00:06:23,600 Speaker 1: innovation and risk taking, the experimentation that was that was 111 00:06:23,680 --> 00:06:26,360 Speaker 1: required was immense. Uh. They ended up you know, landing 112 00:06:26,400 --> 00:06:29,000 Speaker 1: on this lunar or a bit rendezvous way, but they 113 00:06:29,160 --> 00:06:32,760 Speaker 1: were really exploring all sorts of different techniques. And on 114 00:06:32,800 --> 00:06:36,240 Speaker 1: the tragic day in which Apollo one the fire occurred, 115 00:06:36,279 --> 00:06:38,960 Speaker 1: one of the astronauts said something that I think is 116 00:06:39,000 --> 00:06:42,720 Speaker 1: just so important, which was we can't even talk to 117 00:06:42,800 --> 00:06:46,520 Speaker 1: each other through different NASA kind of mission control rooms, 118 00:06:46,600 --> 00:06:48,560 Speaker 1: how are we going to get to the moon. He 119 00:06:48,600 --> 00:06:53,520 Speaker 1: was talking about the very siloed, linear, vertical bureaucratic form 120 00:06:53,839 --> 00:06:56,080 Speaker 1: in which the state itself was structured, and he was 121 00:06:56,120 --> 00:06:59,039 Speaker 1: basically saying, if we're gonna be purpose driven, using today's 122 00:06:59,080 --> 00:07:01,320 Speaker 1: words and get to the moon and back in the generation, 123 00:07:01,360 --> 00:07:05,040 Speaker 1: we're gonna have to rethink actually how we communicate within 124 00:07:05,080 --> 00:07:08,480 Speaker 1: our own structures and that kind of attention to organizational 125 00:07:08,600 --> 00:07:12,440 Speaker 1: change with something that NASA, through George Mueller's leadership, really 126 00:07:12,440 --> 00:07:14,920 Speaker 1: embarked on. And this is important, right because if you 127 00:07:14,960 --> 00:07:16,800 Speaker 1: are going to be purpose driven, what does it mean 128 00:07:16,880 --> 00:07:20,320 Speaker 1: for your own organizational culture, not just in business, but 129 00:07:20,400 --> 00:07:23,480 Speaker 1: also in government and the purpose This notion of a 130 00:07:23,520 --> 00:07:26,240 Speaker 1: partnership with a common purpose is really what I think 131 00:07:26,320 --> 00:07:29,720 Speaker 1: is so important in terms of allowing us to give 132 00:07:29,840 --> 00:07:33,920 Speaker 1: more substance to this notion of stakeholder capitalism. It was 133 00:07:34,000 --> 00:07:36,440 Speaker 1: so curious that they paid attention not only to the 134 00:07:36,440 --> 00:07:40,160 Speaker 1: procurement contracts in terms of how to devise them so 135 00:07:40,280 --> 00:07:43,640 Speaker 1: government wouldn't be, uh, just if you want, vulnerable to 136 00:07:43,840 --> 00:07:47,040 Speaker 1: paying any costs that were presented to them through cost 137 00:07:47,120 --> 00:07:51,160 Speaker 1: price contracts, which they changed to fixed price contracts with 138 00:07:51,280 --> 00:07:54,800 Speaker 1: incentives for innovation. But they also paid attention to making 139 00:07:54,840 --> 00:07:57,360 Speaker 1: sure that this enterprise that they were going to do together, 140 00:07:57,720 --> 00:08:00,760 Speaker 1: this wonderful, difficult mission, was it just going to become 141 00:08:00,800 --> 00:08:04,000 Speaker 1: a gambling casino. So they even had clauses like no 142 00:08:04,240 --> 00:08:08,160 Speaker 1: excess profits clauses in the procurement contracts, and of course 143 00:08:08,200 --> 00:08:10,440 Speaker 1: profits were earned, but there was also a real kind 144 00:08:10,440 --> 00:08:13,920 Speaker 1: of risk sharing and reward sharing in the process and 145 00:08:13,960 --> 00:08:17,320 Speaker 1: so sharing both risks and rewards I think is incredibly important. 146 00:08:17,560 --> 00:08:21,679 Speaker 1: This idea that you know, mass itself required its own capabilities, 147 00:08:21,840 --> 00:08:24,840 Speaker 1: investing within its own brain what I call the dynamic 148 00:08:24,880 --> 00:08:27,840 Speaker 1: capabilities of the public sector in order even to know 149 00:08:27,880 --> 00:08:30,520 Speaker 1: how to write the terms of reference with business to 150 00:08:30,680 --> 00:08:35,319 Speaker 1: foster a symbiotic and mutualistic partnership. And what was so 151 00:08:35,400 --> 00:08:38,280 Speaker 1: special about the moon landing was so much happened along 152 00:08:38,320 --> 00:08:42,400 Speaker 1: the way, spillovers across many different sectors. It wasn't just aeronautics, 153 00:08:42,400 --> 00:08:46,200 Speaker 1: it was nutrition, materials, electronics, the entire software industry in 154 00:08:46,240 --> 00:08:48,920 Speaker 1: some ways was an outcome of that. And that really 155 00:08:48,960 --> 00:08:51,680 Speaker 1: did happen because of a kind of top down, you know, 156 00:08:51,920 --> 00:08:55,360 Speaker 1: mission setting, but lots of bottom up experimentation, and that 157 00:08:55,480 --> 00:08:58,840 Speaker 1: kind of delicate balance between the two is really what 158 00:08:58,920 --> 00:09:03,079 Speaker 1: I focus on in the book for allowing us to 159 00:09:03,120 --> 00:09:07,400 Speaker 1: really create a concrete investment pathway in trajectory for the SDGs. 160 00:09:07,640 --> 00:09:10,440 Speaker 1: The SDGs these are the earth shots. They're much harder 161 00:09:10,480 --> 00:09:14,000 Speaker 1: actually than a purely technological missions. And what that really 162 00:09:14,040 --> 00:09:24,640 Speaker 1: requires is again partnership with purpose, I guess, just to 163 00:09:24,679 --> 00:09:27,000 Speaker 1: get one thing out of the way first, you know, 164 00:09:27,080 --> 00:09:30,920 Speaker 1: there will be people listening, certainly people who have heard 165 00:09:30,960 --> 00:09:34,040 Speaker 1: a lot about stakeholder capitalism before and indeed maybe sitting 166 00:09:34,040 --> 00:09:36,760 Speaker 1: in businesses trying to make it work. Um, there will 167 00:09:36,800 --> 00:09:38,880 Speaker 1: be others who are just used to managing people and 168 00:09:38,920 --> 00:09:42,119 Speaker 1: getting things done, and they'll say it's not very complicated. 169 00:09:42,200 --> 00:09:44,719 Speaker 1: If you actually want to make progress, you need to 170 00:09:44,760 --> 00:09:46,960 Speaker 1: set a big target and then work as a team 171 00:09:47,000 --> 00:09:49,240 Speaker 1: to meet it. Why do I need a whole book 172 00:09:49,280 --> 00:09:52,120 Speaker 1: to tell me that? What? What is different about what 173 00:09:52,160 --> 00:09:58,440 Speaker 1: you're actually what you're proposing? Because having a mission exactly 174 00:09:58,600 --> 00:10:02,920 Speaker 1: so um for me at least, missions are about again, 175 00:10:03,000 --> 00:10:05,000 Speaker 1: how do you partner in a different way? So let's 176 00:10:05,040 --> 00:10:08,360 Speaker 1: even unpick for example, Um, you know any of the 177 00:10:08,400 --> 00:10:12,240 Speaker 1: goals like you know STG fourteen around clean oceans, what 178 00:10:12,280 --> 00:10:14,880 Speaker 1: does it mean actually to transform it into a very 179 00:10:14,960 --> 00:10:18,840 Speaker 1: concrete goal like getting the plastic out of the ocean 180 00:10:19,160 --> 00:10:22,480 Speaker 1: and make sure that the way that government interacts with business, 181 00:10:22,679 --> 00:10:26,360 Speaker 1: which is constantly interact in terms of subsidies, guarantees, grants 182 00:10:26,360 --> 00:10:30,599 Speaker 1: and loans becomes actually conditional on you know, business and 183 00:10:30,640 --> 00:10:33,680 Speaker 1: different types of businesses which will actually require different types 184 00:10:33,679 --> 00:10:37,760 Speaker 1: of support, uh, investing in that goal together. And even 185 00:10:37,800 --> 00:10:40,719 Speaker 1: though that sounds really obvious. It simply doesn't happen. I mean, 186 00:10:40,840 --> 00:10:43,640 Speaker 1: I've looked at so many different sectors, especially by the way, 187 00:10:43,679 --> 00:10:46,960 Speaker 1: the pharmaceutical sector, which gets all sorts of benefits from 188 00:10:46,960 --> 00:10:50,680 Speaker 1: government in the United States forty billion dollars a year 189 00:10:51,080 --> 00:10:53,920 Speaker 1: goes towards drug innovation, and somehow then we don't get 190 00:10:53,960 --> 00:10:58,120 Speaker 1: that kind of conditionality and partnership, right, So intellectual property 191 00:10:58,200 --> 00:11:01,800 Speaker 1: rights in particular for that sector are often abused. They 192 00:11:01,800 --> 00:11:05,640 Speaker 1: are to upstream, their too wide, used for strategic patenting, 193 00:11:05,640 --> 00:11:09,480 Speaker 1: there too strong, so hard to license. The prices of 194 00:11:09,520 --> 00:11:14,160 Speaker 1: the drugs don't actually reflect that collective value creation. And 195 00:11:14,240 --> 00:11:19,040 Speaker 1: so you know, governing the partnership, governing innovation in such 196 00:11:19,080 --> 00:11:21,720 Speaker 1: a way as serious as NASA was when it unpicked 197 00:11:21,720 --> 00:11:24,520 Speaker 1: those procurement contracts and said, Nope, this isn't gonna be good. 198 00:11:24,640 --> 00:11:27,440 Speaker 1: We're gonna be taken for a ride. And truly sharing 199 00:11:27,559 --> 00:11:31,000 Speaker 1: both risks and rewards means doing things quite differently. And 200 00:11:31,040 --> 00:11:34,720 Speaker 1: the vaccine, which is a great example actually today of 201 00:11:35,200 --> 00:11:37,439 Speaker 1: you know, both the public and the private sector putting 202 00:11:37,440 --> 00:11:39,480 Speaker 1: in a lot of money, but also you know it 203 00:11:39,559 --> 00:11:42,120 Speaker 1: was based on a lot of previous funding. The Oxford 204 00:11:42,200 --> 00:11:46,000 Speaker 1: vaccine from also the European Commission, as was by the way, 205 00:11:46,000 --> 00:11:48,440 Speaker 1: the fives are vaccine, which got money from the European 206 00:11:48,480 --> 00:11:51,600 Speaker 1: Commission and the German government. Um so these are all 207 00:11:51,679 --> 00:11:55,720 Speaker 1: kind of ecosystems public and private investments that produce something 208 00:11:55,720 --> 00:11:58,080 Speaker 1: like a vaccine. But then if you don't govern it 209 00:11:58,600 --> 00:12:02,000 Speaker 1: right to meet let's call it the common good, then 210 00:12:02,040 --> 00:12:04,640 Speaker 1: that's a problem in terms of the deal. So the 211 00:12:04,679 --> 00:12:07,720 Speaker 1: idea of a patent pool for the vaccine, but also 212 00:12:07,760 --> 00:12:11,120 Speaker 1: making sure the vaccine is universally accessible so we don't 213 00:12:11,160 --> 00:12:15,240 Speaker 1: have what Dr Tedris called vaccine apartheid, so countries just 214 00:12:15,280 --> 00:12:18,319 Speaker 1: hoarding it. That's all about kind of governing that process 215 00:12:18,720 --> 00:12:21,160 Speaker 1: right in a particular way. And you could unpick the 216 00:12:21,200 --> 00:12:24,320 Speaker 1: same thing with digital platforms. You know, everything that makes 217 00:12:24,320 --> 00:12:30,440 Speaker 1: our smart products smart and not stupid was funded by government, Internet, GPS, touchscreen, serrie. 218 00:12:30,800 --> 00:12:33,840 Speaker 1: And yet then if you don't govern that innovation for 219 00:12:33,920 --> 00:12:36,520 Speaker 1: the public good, you end up with what I was 220 00:12:36,600 --> 00:12:38,640 Speaker 1: arguing in the beginning, kind of too little, too late, 221 00:12:39,080 --> 00:12:42,040 Speaker 1: worried about privacy taxation as kind of in the back 222 00:12:42,080 --> 00:12:44,480 Speaker 1: saying oh wait, wait, wait, hold on, as opposed to 223 00:12:44,520 --> 00:12:46,360 Speaker 1: making sure you have kind of you know what I 224 00:12:46,440 --> 00:12:50,240 Speaker 1: called predistribution, which is a nice term also that others use, 225 00:12:50,280 --> 00:12:52,559 Speaker 1: which is how do we get the conditions right ex 226 00:12:52,720 --> 00:12:55,440 Speaker 1: anti so you don't have to pick the up the 227 00:12:55,520 --> 00:12:58,440 Speaker 1: mess x post. And that to me is central to 228 00:12:58,480 --> 00:13:01,760 Speaker 1: a mission oriented approach where purpose is at the center 229 00:13:01,760 --> 00:13:04,400 Speaker 1: of the relationship, as opposed to just kind of a 230 00:13:04,440 --> 00:13:08,280 Speaker 1: siloed notion of how governments can improve. So we're going 231 00:13:08,320 --> 00:13:10,520 Speaker 1: to try and be kind of ruthlessly practical in this 232 00:13:10,600 --> 00:13:14,040 Speaker 1: session and think about how it applies to the new administration, 233 00:13:14,080 --> 00:13:16,400 Speaker 1: But any any government who's trying to think about how 234 00:13:16,440 --> 00:13:19,400 Speaker 1: to change the way we do these things. You say 235 00:13:19,440 --> 00:13:22,199 Speaker 1: yourself in the book that there are there are ways 236 00:13:22,200 --> 00:13:25,960 Speaker 1: in which the moon landings are not a helpful guide 237 00:13:26,200 --> 00:13:28,439 Speaker 1: for now and for the challenges we face now. One 238 00:13:28,480 --> 00:13:31,120 Speaker 1: of one is that it was sort of chosen by 239 00:13:31,200 --> 00:13:34,240 Speaker 1: a quite narrow part of society that we were going 240 00:13:34,280 --> 00:13:36,120 Speaker 1: to go to boon, and maybe not everyone would have 241 00:13:36,120 --> 00:13:39,080 Speaker 1: signed up for that um. But another is that it's 242 00:13:39,120 --> 00:13:42,640 Speaker 1: it is quite a sort of clear technical challenge, enormously 243 00:13:42,640 --> 00:13:47,120 Speaker 1: ambitious and difficult, but easily explained and with a quite 244 00:13:47,120 --> 00:13:50,680 Speaker 1: clear process leading up to it. Where and I think 245 00:13:50,679 --> 00:13:53,120 Speaker 1: you could say the vaccines are actually an even better 246 00:13:53,120 --> 00:13:55,559 Speaker 1: example of that, you know, a very clearly defined target. 247 00:13:55,640 --> 00:13:59,120 Speaker 1: Some of the sustainable development goals would have that characteristic, 248 00:13:59,120 --> 00:14:02,960 Speaker 1: they're quite specific. But when you think about something that 249 00:14:03,000 --> 00:14:05,520 Speaker 1: you're obviously very focused on and you have applied this too, 250 00:14:05,600 --> 00:14:09,000 Speaker 1: I mean climate change, so many layers of that that 251 00:14:09,040 --> 00:14:12,360 Speaker 1: are not just technical, they are also social. They're also 252 00:14:12,440 --> 00:14:14,480 Speaker 1: about how we value you know, going back to your 253 00:14:14,480 --> 00:14:17,200 Speaker 1: other book about how we value things. Um, So I 254 00:14:17,280 --> 00:14:20,360 Speaker 1: just where do you get to the point where it's 255 00:14:20,440 --> 00:14:24,200 Speaker 1: less helpful to have this kind of parallel Um, how 256 00:14:24,280 --> 00:14:27,560 Speaker 1: can you use this approach for something which is more 257 00:14:27,680 --> 00:14:32,400 Speaker 1: social and more multi layered. Thanks for that question. It's 258 00:14:32,480 --> 00:14:36,560 Speaker 1: very important. So, um, you know what's interesting is, you 259 00:14:36,600 --> 00:14:39,960 Speaker 1: know many people remember that that famous story that the 260 00:14:40,080 --> 00:14:42,920 Speaker 1: janitor who worked and asked so when he was asked, 261 00:14:42,920 --> 00:14:44,400 Speaker 1: what do you do? And he said, I'm helping to 262 00:14:44,400 --> 00:14:46,440 Speaker 1: get a man on the moon. So in some sense, 263 00:14:46,480 --> 00:14:49,280 Speaker 1: you know what also the moon landing did was really 264 00:14:49,280 --> 00:14:52,360 Speaker 1: inspire so many different people, including lots of kids who 265 00:14:52,480 --> 00:14:55,680 Speaker 1: ended up studying science, you know, because of the inspiration. 266 00:14:55,760 --> 00:14:59,560 Speaker 1: But it wasn't you know, citizens weren't engaged in the design, 267 00:14:59,760 --> 00:15:02,120 Speaker 1: you know, of the mission itself, you know, it really 268 00:15:02,200 --> 00:15:04,840 Speaker 1: was top down. Some of the more interesting missions that 269 00:15:04,880 --> 00:15:07,160 Speaker 1: we're working on in the institute that I run at 270 00:15:07,200 --> 00:15:10,240 Speaker 1: University College London, which is called the Institute of Innovation 271 00:15:10,240 --> 00:15:12,600 Speaker 1: and Public Purpose, you know, the whole notion of purpose 272 00:15:12,640 --> 00:15:16,960 Speaker 1: at the center of political economy UM are on missions 273 00:15:17,000 --> 00:15:20,960 Speaker 1: in countries like Sweden where the national mission is so interesting. 274 00:15:21,080 --> 00:15:24,520 Speaker 1: It's about a fossil free welfare state. And then if 275 00:15:24,560 --> 00:15:27,720 Speaker 1: you break down everything the state does and provides, from 276 00:15:27,720 --> 00:15:31,720 Speaker 1: public transport, public education, public health, a lot of that 277 00:15:31,800 --> 00:15:34,640 Speaker 1: is actually obviously in partnership with business UM. But what 278 00:15:34,680 --> 00:15:39,560 Speaker 1: does it mean to land those those ambitions in concrete places. 279 00:15:39,640 --> 00:15:44,360 Speaker 1: Take the the public education system. You know, if you 280 00:15:44,400 --> 00:15:48,880 Speaker 1: have a carbon neutral agenda, a fossil free welfare state agenda, 281 00:15:49,080 --> 00:15:51,920 Speaker 1: it can actually land in a place like school meals, right, 282 00:15:51,960 --> 00:15:54,920 Speaker 1: so you can have the production, distribution and consumption of 283 00:15:54,960 --> 00:15:58,120 Speaker 1: school meals driven by this carbon neutral agenda. But what 284 00:15:58,160 --> 00:16:00,360 Speaker 1: would it look like to bring kids to the day, 285 00:16:00,520 --> 00:16:03,000 Speaker 1: students in schools to the table to design that, but 286 00:16:03,040 --> 00:16:05,480 Speaker 1: also to monitor it along the way. You know, if 287 00:16:05,520 --> 00:16:07,760 Speaker 1: the food is sustainable but kind of sucks and it's 288 00:16:07,760 --> 00:16:10,480 Speaker 1: not very tasty, that's not gonna work. Um, so that 289 00:16:10,640 --> 00:16:13,760 Speaker 1: both the issue of code design but also monitoring along 290 00:16:13,800 --> 00:16:16,680 Speaker 1: the way is an important point. And in Camden, the 291 00:16:16,680 --> 00:16:19,040 Speaker 1: part of London where I live and I co chair 292 00:16:19,200 --> 00:16:22,560 Speaker 1: the Camden Renewal Commission with Georgia Gould, the Leader of 293 00:16:22,560 --> 00:16:24,920 Speaker 1: the Council, and one of the things we started doing 294 00:16:25,000 --> 00:16:28,640 Speaker 1: is thinking about carbon neutrality with the place where it 295 00:16:28,720 --> 00:16:31,960 Speaker 1: lands is the social housing estates what in the USA 296 00:16:32,000 --> 00:16:34,560 Speaker 1: called housing projects and again, what does it mean to 297 00:16:34,560 --> 00:16:38,800 Speaker 1: bring housing associations or citizen assemblies to the table to 298 00:16:38,960 --> 00:16:41,640 Speaker 1: really talk and debate and contest about how do we 299 00:16:41,720 --> 00:16:45,000 Speaker 1: want to live together in these places so that it 300 00:16:45,120 --> 00:16:48,240 Speaker 1: is not just sustainable, but it's also an outcome of, 301 00:16:48,440 --> 00:16:50,800 Speaker 1: you know, a discussion. You know, it's easy to pet 302 00:16:50,800 --> 00:16:53,040 Speaker 1: Breta Tornberg on the head and say, oh, how cute. 303 00:16:53,040 --> 00:16:55,560 Speaker 1: You know, sixteen or eighteen year old now cares about 304 00:16:55,560 --> 00:16:58,080 Speaker 1: climate change. But what does it mean to listen to 305 00:16:58,160 --> 00:17:01,200 Speaker 1: social movements? And that's really important, by the way, because 306 00:17:01,200 --> 00:17:03,800 Speaker 1: it's not just you know, the green movement, it's also 307 00:17:03,840 --> 00:17:07,439 Speaker 1: the labor movement. Labor at as a record labor is 308 00:17:07,480 --> 00:17:09,879 Speaker 1: at a record low in terms of the labor share 309 00:17:09,880 --> 00:17:13,480 Speaker 1: of GDP globally, the profit shares at a record high. 310 00:17:13,600 --> 00:17:17,879 Speaker 1: Labor unions trade unions have historically been incredibly important for 311 00:17:18,000 --> 00:17:21,960 Speaker 1: shaping markets to be more inclusive. We wouldn't have weekends, 312 00:17:22,040 --> 00:17:24,480 Speaker 1: by the way, not bad as a social innovation. We 313 00:17:24,480 --> 00:17:27,480 Speaker 1: wouldn't have the eight hour work day without trade unions. 314 00:17:27,480 --> 00:17:30,320 Speaker 1: So you know, whether it's the labor movement, whether it's 315 00:17:30,359 --> 00:17:33,920 Speaker 1: a green movement, whether it's Black Lives Matter, whether it's 316 00:17:34,000 --> 00:17:36,639 Speaker 1: the care workers today and that movement, what does it 317 00:17:36,680 --> 00:17:40,040 Speaker 1: mean for governments themselves to listen to actually allow that 318 00:17:40,560 --> 00:17:43,639 Speaker 1: to be part of the process through which emissions are set. 319 00:17:44,040 --> 00:17:46,280 Speaker 1: And in German, I think what's interesting is they've had 320 00:17:46,320 --> 00:17:50,760 Speaker 1: one of the strongest green movements um across the globe, 321 00:17:51,040 --> 00:17:53,880 Speaker 1: having risen slowly up to the to the very high 322 00:17:54,000 --> 00:17:57,160 Speaker 1: level of government, and that ended up fostering a very 323 00:17:57,240 --> 00:18:00,640 Speaker 1: different relationship between government and business. So couple of years ago, 324 00:18:00,640 --> 00:18:03,919 Speaker 1: when the steel industry asked government for a loan and 325 00:18:03,960 --> 00:18:06,840 Speaker 1: a bailout, as steel is more or less asking every 326 00:18:07,320 --> 00:18:11,119 Speaker 1: government or bailout in Germany, they were confident enough to 327 00:18:11,280 --> 00:18:15,360 Speaker 1: make that loan conditional on the steel sector reducing its 328 00:18:15,400 --> 00:18:18,879 Speaker 1: material content, which it ended up doing. In its own way. 329 00:18:19,080 --> 00:18:21,320 Speaker 1: Today the German steel sector is one of the most 330 00:18:21,359 --> 00:18:24,159 Speaker 1: green and innovative in the world, not because you know, 331 00:18:24,200 --> 00:18:26,639 Speaker 1: they went to the World Economic Forum and talked about purpose, 332 00:18:26,680 --> 00:18:29,359 Speaker 1: but because they had to in order to access the 333 00:18:29,400 --> 00:18:32,760 Speaker 1: public loan. And that's a really interesting thing that started 334 00:18:32,760 --> 00:18:35,960 Speaker 1: to be applied with COVID nineteen recovery funds in some 335 00:18:36,040 --> 00:18:38,679 Speaker 1: parts of the world, like in France, where both the 336 00:18:38,760 --> 00:18:43,600 Speaker 1: airlines and automotive industries received their recovery bailout conditional on 337 00:18:44,200 --> 00:18:47,679 Speaker 1: reducing or committing to reducing their carbon emissions, whereas in 338 00:18:47,680 --> 00:18:49,800 Speaker 1: the UK we just gave a massive handout, you know, 339 00:18:49,840 --> 00:18:53,680 Speaker 1: to easy Jet, no conditions attached. So that issue of conditionality, 340 00:18:53,840 --> 00:18:58,000 Speaker 1: I think is a really interesting concrete example of how 341 00:18:58,040 --> 00:19:01,800 Speaker 1: to foster this new partnership. And unfortunately the word conditionality 342 00:19:01,800 --> 00:19:03,640 Speaker 1: sounds negative. So I do think we need to think 343 00:19:03,640 --> 00:19:07,600 Speaker 1: the narrative as well around partnership, you know, purpose driven 344 00:19:07,960 --> 00:19:15,360 Speaker 1: social contracts. Clearly, the really bigly tough challenge these days 345 00:19:15,400 --> 00:19:23,199 Speaker 1: is the US, after decades of undermining the perceived value 346 00:19:23,240 --> 00:19:25,800 Speaker 1: of government only little corners NASA and me. As Michael 347 00:19:25,840 --> 00:19:28,680 Speaker 1: Lewis points out in his book It's NASA was sort 348 00:19:28,680 --> 00:19:30,320 Speaker 1: of one of the few bits of government that was 349 00:19:30,320 --> 00:19:33,600 Speaker 1: allowed to take credit as a public sector organization. If 350 00:19:33,600 --> 00:19:37,399 Speaker 1: you're facing that which existed long before Donald Trump and 351 00:19:37,440 --> 00:19:40,040 Speaker 1: but now coming in as the Biden administration with the 352 00:19:40,080 --> 00:19:43,920 Speaker 1: particular record of the sort of acceleration of the undermining 353 00:19:43,920 --> 00:19:47,000 Speaker 1: of government that's happened over the last few years, I 354 00:19:47,040 --> 00:19:49,280 Speaker 1: guess there were there is. There is a sort of 355 00:19:49,560 --> 00:19:53,200 Speaker 1: debate obviously ongoing within the administration in lots of areas 356 00:19:53,200 --> 00:19:55,000 Speaker 1: about whether the best thing to do is to be 357 00:19:55,080 --> 00:19:57,680 Speaker 1: quietly competent and just remind people that the government can 358 00:19:57,680 --> 00:20:00,000 Speaker 1: be quietly competent and doesn't need to ruin your life 359 00:20:00,640 --> 00:20:04,280 Speaker 1: um and is actually quite important, or does it need 360 00:20:04,320 --> 00:20:06,320 Speaker 1: to be visionary. And of course a lot of people 361 00:20:06,320 --> 00:20:08,679 Speaker 1: would say you have to be competent and visionary, but 362 00:20:08,840 --> 00:20:11,399 Speaker 1: they might sense, in the kind of way that you 363 00:20:11,480 --> 00:20:14,120 Speaker 1: talk about this a real risk for them that if 364 00:20:14,119 --> 00:20:17,280 Speaker 1: they try, if they set those enormous targets and seem 365 00:20:17,359 --> 00:20:20,080 Speaker 1: to signal that they're going to completely transform the way 366 00:20:20,119 --> 00:20:22,520 Speaker 1: we think about government and have your kind of approach, 367 00:20:23,119 --> 00:20:26,160 Speaker 1: they'll be setting themselves up for this failure, for a failure, 368 00:20:26,200 --> 00:20:30,040 Speaker 1: an equally grand failure, which could undermine the battle kind 369 00:20:30,040 --> 00:20:31,800 Speaker 1: of longer term. So I just wonder, when you think 370 00:20:31,800 --> 00:20:34,440 Speaker 1: about the challenges that the administration faces and this trade 371 00:20:34,480 --> 00:20:38,359 Speaker 1: off between being competent and being visionary, how would you 372 00:20:38,400 --> 00:20:42,520 Speaker 1: apply your approach um great question, And you know, and 373 00:20:42,560 --> 00:20:44,920 Speaker 1: first of all, we should remember that Trump was quite 374 00:20:45,000 --> 00:20:49,119 Speaker 1: unique in case people didn't now. Trump was actually the 375 00:20:49,119 --> 00:20:53,119 Speaker 1: first president that really attacked what I called the entrepreneurial state. 376 00:20:53,400 --> 00:20:55,119 Speaker 1: But one of the things I've been arguing is that 377 00:20:55,160 --> 00:20:57,520 Speaker 1: in the US especially but also globally, we need to 378 00:20:57,560 --> 00:21:00,600 Speaker 1: bring together these concepts of the well first state in 379 00:21:00,640 --> 00:21:03,119 Speaker 1: the innovation state that can actually work together, and the 380 00:21:03,160 --> 00:21:06,320 Speaker 1: welfare state can also be a demand pull for what. 381 00:21:06,440 --> 00:21:09,520 Speaker 1: Then the innovation state also feeds into the U S. 382 00:21:09,560 --> 00:21:12,440 Speaker 1: It's very dysfunctional. You have again forty billion a year 383 00:21:12,760 --> 00:21:16,160 Speaker 1: going in from the National Institutes of Health, and then 384 00:21:16,160 --> 00:21:18,440 Speaker 1: at best you have Medicare and Medicaid on the sort 385 00:21:18,480 --> 00:21:20,680 Speaker 1: of demand side, but they're not really aligned. And that's 386 00:21:20,720 --> 00:21:23,760 Speaker 1: why we get this whole kind of hyper inflated system 387 00:21:23,800 --> 00:21:26,120 Speaker 1: where the prices and the fees don't reflect at all 388 00:21:26,440 --> 00:21:29,840 Speaker 1: that public sector is taking. Biden's bringing back the attention 389 00:21:29,880 --> 00:21:33,440 Speaker 1: to an industrial strategy and innovation strategy and the investments 390 00:21:33,440 --> 00:21:38,080 Speaker 1: that we require in both social physical infrastructure innovation. That's 391 00:21:38,119 --> 00:21:41,320 Speaker 1: an important first step. What he needs to avoid is 392 00:21:41,359 --> 00:21:44,200 Speaker 1: making this kind of an old style just list of sectors, 393 00:21:44,200 --> 00:21:46,639 Speaker 1: you know, make America great again in X, Y, and 394 00:21:46,720 --> 00:21:50,879 Speaker 1: Z areas with the mission oriented approach suggests is that 395 00:21:50,920 --> 00:21:53,000 Speaker 1: we need to remember that some of the best innovations 396 00:21:53,040 --> 00:21:55,560 Speaker 1: in the US, like all the ones that I mentioned before, 397 00:21:55,960 --> 00:21:59,119 Speaker 1: making this thing smart and not stupid, Internet, GPS and 398 00:21:59,160 --> 00:22:02,040 Speaker 1: so on, the where outcomes of the U. S Government 399 00:22:02,080 --> 00:22:04,399 Speaker 1: trying to solve a problem. So the Internet was a 400 00:22:04,440 --> 00:22:08,840 Speaker 1: solution to trying to get the satellites to communicate. GPS. Similarly, 401 00:22:08,880 --> 00:22:11,480 Speaker 1: there was a problem, GPS was a solution. So the 402 00:22:11,480 --> 00:22:15,160 Speaker 1: real question is how can the American kind of industrial 403 00:22:15,280 --> 00:22:18,399 Speaker 1: innovation system which did make it great. You know, they 404 00:22:18,440 --> 00:22:22,440 Speaker 1: really were the leaders around the computer, computer revolution, etcetera. 405 00:22:22,640 --> 00:22:25,399 Speaker 1: What are the you know, what are today's problems and 406 00:22:25,520 --> 00:22:28,440 Speaker 1: questions that can drive that real kind of dynamic innovation 407 00:22:28,440 --> 00:22:30,880 Speaker 1: by both the public and the private sector. And lastly, 408 00:22:31,400 --> 00:22:34,040 Speaker 1: you know, we need to remember when you talked about 409 00:22:34,359 --> 00:22:37,560 Speaker 1: the US government perhaps getting blamed for any failures that 410 00:22:37,600 --> 00:22:40,959 Speaker 1: happened along the way, that's normal. You know, it's impossible 411 00:22:41,000 --> 00:22:43,760 Speaker 1: to innovate without screwing up. But the only difference is 412 00:22:43,800 --> 00:22:46,160 Speaker 1: that the venture capital is brag about it rightly. So 413 00:22:46,600 --> 00:22:49,280 Speaker 1: you can't have success without also admitting that you're going 414 00:22:49,320 --> 00:22:52,280 Speaker 1: to fail. And what the venture capitalists do, however, is 415 00:22:52,280 --> 00:22:54,040 Speaker 1: they make sure they're not just kind of you know, 416 00:22:54,440 --> 00:22:57,680 Speaker 1: picking up the downside. They're obviously also getting an upside 417 00:22:57,680 --> 00:23:00,760 Speaker 1: that gets reinvested back in. That's where the US government 418 00:23:00,800 --> 00:23:04,760 Speaker 1: in the past kind of you know, didn't uh follow through. 419 00:23:05,040 --> 00:23:07,320 Speaker 1: So even if you look at the recovery after the 420 00:23:07,320 --> 00:23:12,400 Speaker 1: financial crisis, when Obama had an eight hundred billion stimulus program, 421 00:23:12,560 --> 00:23:16,159 Speaker 1: much of which was initially green directed, that's when he 422 00:23:16,200 --> 00:23:19,359 Speaker 1: brought in a Nobel Prize winner to direct the d 423 00:23:19,440 --> 00:23:22,760 Speaker 1: Oe Steve cho who set up are pa E. They 424 00:23:22,800 --> 00:23:25,720 Speaker 1: made all sorts of investments in different companies to foster 425 00:23:25,760 --> 00:23:29,920 Speaker 1: a green transition. Some of those companies failed, like Cylindra, 426 00:23:30,359 --> 00:23:33,560 Speaker 1: some succeeded like Tesla. Tesla and Slinder got the same 427 00:23:33,760 --> 00:23:36,720 Speaker 1: almost the same amount of money um. And the strange 428 00:23:36,760 --> 00:23:38,639 Speaker 1: thing is that even though Obama had all these golden 429 00:23:38,720 --> 00:23:41,959 Speaker 1: Sax guys in government, he said something that was quite silly, 430 00:23:42,280 --> 00:23:45,240 Speaker 1: he said to um Elon Musk. If you don't pay 431 00:23:45,280 --> 00:23:48,000 Speaker 1: back the loan, we get three million shares in your company. Now, 432 00:23:48,040 --> 00:23:50,399 Speaker 1: the loan was paid back in two thousand thirteen. It 433 00:23:50,440 --> 00:23:53,880 Speaker 1: was taken out two thousand nine, and had the government said, 434 00:23:53,880 --> 00:23:56,560 Speaker 1: what a venture capitalists would say is if you succeed, 435 00:23:56,600 --> 00:23:59,840 Speaker 1: we get equity, we get three million schairs. The change 436 00:23:59,840 --> 00:24:04,240 Speaker 1: in price per share was that multiplied by three million, 437 00:24:04,280 --> 00:24:06,480 Speaker 1: would have more than paid back the cylinder loss in 438 00:24:06,520 --> 00:24:08,639 Speaker 1: the next round. So the point here is that you 439 00:24:08,680 --> 00:24:11,280 Speaker 1: don't want to just be choosing kind of siloed projects. 440 00:24:11,560 --> 00:24:13,840 Speaker 1: You want to choose a direction. You want to pick 441 00:24:13,920 --> 00:24:16,399 Speaker 1: the willing, not pick the winners, pick the willing along 442 00:24:16,400 --> 00:24:19,440 Speaker 1: the way, but also structure it in an intelligent way 443 00:24:19,480 --> 00:24:22,639 Speaker 1: so citizens aren't just kind of belling out the downside 444 00:24:22,640 --> 00:24:25,280 Speaker 1: but also getting a share of the upside. Okay, one 445 00:24:25,320 --> 00:24:28,160 Speaker 1: final question. There's lots of versions of this question which 446 00:24:28,160 --> 00:24:31,719 Speaker 1: have come through, which is kind of it sounds like, uh, 447 00:24:32,160 --> 00:24:34,040 Speaker 1: nothing's going to be fixed until everything is going to 448 00:24:34,080 --> 00:24:36,200 Speaker 1: be fixed. You know, you have a wonderful or economist 449 00:24:36,200 --> 00:24:37,639 Speaker 1: would put it. You know, you have a very general 450 00:24:37,640 --> 00:24:41,280 Speaker 1: equilibrium way of looking at the world, which is very 451 00:24:41,720 --> 00:24:44,679 Speaker 1: is immensely helpful in thinking about how one thing relates 452 00:24:44,680 --> 00:24:46,840 Speaker 1: to another, and they need to be more holistic. But 453 00:24:46,920 --> 00:24:52,040 Speaker 1: how should again, the Biden administration take on what you're 454 00:24:52,080 --> 00:24:55,520 Speaker 1: saying whilst also allowing there to be sort of short 455 00:24:55,680 --> 00:24:58,960 Speaker 1: term practical winds along the way. So I mean, I 456 00:24:59,040 --> 00:25:01,280 Speaker 1: usually get accused of the opposite, that I'm too practical 457 00:25:01,280 --> 00:25:04,159 Speaker 1: and concrete. Um, So you know, the big point, of 458 00:25:04,200 --> 00:25:06,240 Speaker 1: course is that economic growth has not just a rate 459 00:25:06,240 --> 00:25:08,320 Speaker 1: but a direction. That's what we're talking about. That's like 460 00:25:08,359 --> 00:25:10,320 Speaker 1: the big broad point, which one could argue is kind 461 00:25:10,320 --> 00:25:13,199 Speaker 1: of too generic. The concrete point point is, how do 462 00:25:13,240 --> 00:25:17,040 Speaker 1: you render really explicit that directionality? What does it mean 463 00:25:17,080 --> 00:25:21,439 Speaker 1: for the concrete ways that we design things like procurement 464 00:25:21,520 --> 00:25:24,040 Speaker 1: and procurement, by the way, is a huge percentage of 465 00:25:24,080 --> 00:25:26,600 Speaker 1: government budgets. In the UK where you and I live, 466 00:25:27,080 --> 00:25:30,240 Speaker 1: the whole innovation budget of the country is ten billion. 467 00:25:30,680 --> 00:25:33,119 Speaker 1: Just the procurement budget of the Ministry of Transport the 468 00:25:33,160 --> 00:25:35,639 Speaker 1: Department of Transport is forty billion. And this is true 469 00:25:35,760 --> 00:25:39,760 Speaker 1: almost you know, globally it's often almost half of the 470 00:25:39,800 --> 00:25:42,280 Speaker 1: whole government budget. So what does it mean to unpick 471 00:25:42,400 --> 00:25:46,080 Speaker 1: those contracts to make them really have purpose, you know, 472 00:25:46,119 --> 00:25:50,800 Speaker 1: a green transport system, and designing that procurement in order 473 00:25:50,800 --> 00:25:53,440 Speaker 1: that it really crowds in business investment because this isn't 474 00:25:53,440 --> 00:25:56,520 Speaker 1: about the state kind of doing everything. It's about choosing 475 00:25:56,960 --> 00:26:00,800 Speaker 1: and and really choosing very specific areas also, you know, 476 00:26:00,800 --> 00:26:04,240 Speaker 1: whether it's health or digital platforms, the vaccine, where we 477 00:26:04,320 --> 00:26:07,639 Speaker 1: can unpick where things go wrong and redesigned the contracts 478 00:26:07,680 --> 00:26:11,840 Speaker 1: themselves to foster a purpose driven kind of orientation. But 479 00:26:11,960 --> 00:26:14,840 Speaker 1: also the public investment side has to do much more 480 00:26:14,840 --> 00:26:17,399 Speaker 1: than just incentivize. You know, this is why if we 481 00:26:17,480 --> 00:26:19,800 Speaker 1: simply had R and D tax credits, we would not 482 00:26:19,840 --> 00:26:23,400 Speaker 1: have had the Internet revolution. It required active public investment, 483 00:26:23,640 --> 00:26:27,560 Speaker 1: and it was ambitious, it was bold, which then created 484 00:26:27,560 --> 00:26:30,560 Speaker 1: a whole new kind of you know, market opportunity, which 485 00:26:30,600 --> 00:26:35,480 Speaker 1: then raised business expectations of where future growth opportunities lie. 486 00:26:35,840 --> 00:26:38,879 Speaker 1: And unfortunately, so much tax policy, and I often go 487 00:26:39,080 --> 00:26:41,600 Speaker 1: very concrete on different types of tax policy, like capital 488 00:26:41,640 --> 00:26:45,840 Speaker 1: gains tax policies simply increased profits, they don't actually create 489 00:26:45,840 --> 00:26:49,919 Speaker 1: what economists called additionality, catalyzing investment to happen where it 490 00:26:49,960 --> 00:26:53,840 Speaker 1: wouldn't have happened anyway. And having you know, proper metrics 491 00:26:54,560 --> 00:26:57,560 Speaker 1: about additionality, but also the kind of partnerships that we 492 00:26:57,640 --> 00:27:01,840 Speaker 1: are fostering, whether their predatory or symbiotic or mutualistic, that 493 00:27:01,920 --> 00:27:04,439 Speaker 1: needs just as much attention as kind of E. S 494 00:27:04,520 --> 00:27:08,360 Speaker 1: G types of targets. Marianna, we could talk a lot more. 495 00:27:09,000 --> 00:27:10,760 Speaker 1: Thank you very much for joining us, and thank you 496 00:27:10,800 --> 00:27:14,560 Speaker 1: for everyone for listening and for all your questions. Thank 497 00:27:14,600 --> 00:27:22,679 Speaker 1: you thanks for listening to Stephanomics. We'll be back with 498 00:27:22,720 --> 00:27:25,320 Speaker 1: more next week. In the meantime, you can always get 499 00:27:25,320 --> 00:27:29,080 Speaker 1: more from Bloomberg Economics on the Bloomberg Terminal or Bloomberg 500 00:27:29,119 --> 00:27:32,800 Speaker 1: News website. You can also follow at Economics on Twitter. 501 00:27:33,680 --> 00:27:36,720 Speaker 1: This episode was produced by Mangus Hendrickson, with thanks to 502 00:27:36,800 --> 00:27:40,800 Speaker 1: Marianna Matteo Carta and the Aspen Institute. Lucy Meekin is 503 00:27:40,840 --> 00:27:44,760 Speaker 1: the executive producer of Stephanomics and the head of Bloomberg Podcasts. 504 00:27:44,760 --> 00:27:45,560 Speaker 1: Frances Can Leave