Productivity – the election winner that Rishi Sunak failed on
Debunking Economics - the podcastMay 29, 2024x
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Productivity – the election winner that Rishi Sunak failed on

The UK is heading to the polls on July 4th and the Conservative Party is heading for annihilation. Yet, when it comes to espousing sensible ideas from textbooks, Rishi Sunak had the making of a good Prime Minister. For example, tackling productivity by building the necessary infrastructure, investing in education and building cities and regions where businesses could cross pollinate their expertise, facilitated by strong communication and transport links. He presented all of these ideas three years ago and since then productivity has fallen. Why? Steve says these are all great ideas, but there was no money there to support them. You can’t facilitate growth whilst pulling money out of the economy through government spending cuts. Hence, Tory party economics has failed on delivery. 

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[00:00:34] No, there's there's lots of different things that go into increasing our productivity. Our plan

[00:00:39] for growth that we've set out involves investing in infrastructure, innovation, and skills. I think

[00:00:46] of it like that. So infrastructure we've talked a little bit about actually earlier on in the

[00:00:49] program, that's going to help drive up our productivity, not to get technical about it.

[00:00:53] There's something called agglomeration economics making sure that our cities can perform at

[00:00:57] their highest potential. So those investments will help us do that. We know that they would

[00:01:01] provide that. So you cluster all the clever people and all the productive people in one place,

[00:01:04] you get your own images. No, it's not so much about the clever people, but for a given city,

[00:01:07] for it to maximise its potential, we need to make it easy for people to move around it.

[00:01:11] So that's what those investments will do, and we know that economically that will make

[00:01:14] a difference. So that's the infrastructure piece, for example. Skills we've just

[00:01:17] talked about and giving people the tools they need to get better jobs, and we've got a

[00:01:21] range of things that we're doing there that we haven't done before actually.

[00:01:24] This is the Debunking Economics podcast with Steve Keane and Phil Dobby.

[00:01:31] So some great ideas there about improving productivity, at least in theory,

[00:01:35] maybe he should talk more about that as he prepares for the next election. But hang on,

[00:01:40] he said all that stuff, that recording was 2021. Here we are, three years later and

[00:01:44] productivity is going nowhere. So what went wrong? How can the man with the big ideas,

[00:01:49] soon to be Britain's former prime minister, have had so little impact on improving productivity?

[00:01:54] But isn't it one of those things that everyone talks about, everyone has ideas about,

[00:01:58] and nobody ever seems quite able to solve? As we ask, productivity. Has anybody actually

[00:02:05] got a clue on how to fix it? Well, productivity is clearly important for any economy. It's all

[00:02:16] about getting the most out of what you put in. And there's lots of ideas about how you do

[00:02:21] that. We just heard some of them from Rishi Sunak. But there's also the question

[00:02:24] about how you assess whether you're actually doing the job well enough. Are we measuring it in

[00:02:28] the right way? And if so, why has productivity fallen so much since the pandemic? And are we ever

[00:02:35] going to get it back to the same extent? It wasn't great before the pandemic, but it's even worse

[00:02:39] now. So Steve, first of all, let's look at that question about how it's measured. I mean, we often

[00:02:43] do use GDP as a measure of output, which is a monetary value, isn't it? It's the turnover

[00:02:50] of everything that we've produced. And I guess that's fair enough, isn't it? How else can

[00:02:53] we measure output other than the aggregate income, looking at GDP and then looking at that for

[00:02:59] each hour work to get our labor productivity? I mean, it seems like a simple way of doing it.

[00:03:05] Yeah, well, what you're starting off with is a number of units produced per worker. And the

[00:03:11] trouble is that's where the distortion starts because, and this all evening, the classical

[00:03:16] economic theory amplifies this because the conventional way that economists think which

[00:03:20] starts from Robert Solow back in the 1950s is that they thought, well, you've got to have

[00:03:25] technology as a separate input into their production functions. So they have technology

[00:03:31] times labor times capital raised to different powers, but that's the basic formula. Those

[00:03:36] three things model applied together. And then when they measure labor productivity,

[00:03:41] they often put it in the sense that output is determined by the workers.

[00:03:45] Now, if we were living back in ancient Mesopotamia or in feudal England, maybe the quality of the

[00:03:55] labor is a major determinant. But what's the major determinant these days of productivity

[00:04:00] is the machinery. And look, the number of workers you have reflects how many workers

[00:04:03] you need to operate a particular machine most efficiently. And instead, because we've sort

[00:04:09] of separated technology out and talk in terms of labor productivity, we talk as

[00:04:13] if it's making each worker produce more output as the soul input to the system when it fundamentally

[00:04:20] comes down to the machinery you use and how many workers are needed to develop that to

[00:04:28] manage that machine. So we're looking at the wrong thing, basically right from the very outset. We

[00:04:34] just thought ourselves by focusing on individual humans rather than the system in which they're

[00:04:39] working. Well, a company obviously measures it slightly differently, don't they? So if

[00:04:42] you're looking at, is our company more productive than it was five years ago, you'd be looking and

[00:04:46] saying, well, are we making bigger profits? Because that's the, as far as a company is concerned,

[00:04:51] that's the real measure of productivity. How much money are we getting for all the investment

[00:04:55] that we've made? It's hard for, how many people you've got employed in that company

[00:05:01] is a bit irrespective to that number. In fact, you would probably find that you could

[00:05:04] mechanize more and employ people less and improve your productivity. But you don't really care

[00:05:09] about labor productivity, you just care about profit. Yeah. Well, and again, that harder for do

[00:05:15] harder to do that for a country, of course, you can't, you've got to do it at some aggregate level.

[00:05:19] So we'll use GDP as the measure, but it's not so much the way we measure as the way we try to

[00:05:22] understand. And by focusing on, by being misled by the measure and saying output per worker

[00:05:29] implies that we can get more output per worker, the GDP will rise because of measuring GDP.

[00:05:36] And when you talk in terms of labor productivity, you're talking how many units of GDP and monetary

[00:05:40] measure divided by how many workers you have. And it implies that if you can boost that ratio,

[00:05:46] then you're going to have more of the numerator, the GDP as a result of it. But it's putting

[00:05:51] the emphasis upon the skills of the individual worker rather than saying, look, we live in an

[00:05:56] incredibly complicated industrial production system in the modern world and energy,

[00:06:03] the harnessing of energy and using energy more effectively and using more energy period,

[00:06:09] the major things which determine how many units you produce, not the workers themselves and

[00:06:14] setting up the skill levels of the individual workers. People have got to be trained for

[00:06:17] particular machinery. And you need particular skilled workers to be able to both create

[00:06:23] that machinery and to manage it as a machine tool workers and things of that nature.

[00:06:31] But we've got the wrong focus by putting the emphasis on making the workers work harder

[00:06:36] when it's really a case of making machinery that uses, unfortunately, more energy and does

[00:06:41] more with that energy. That's where the real boost in productivity has come from in the past.

[00:06:45] Is also the factor how much we're paying people? I've mentioned this before on the podcast.

[00:06:49] If you pay people more than their wages add to the GDP for the nation so that they have

[00:06:54] more to spend, so they're spending more. So for example, I put at prices for a client

[00:06:58] a few years back. So there's actually more export earnings because the client was overseas,

[00:07:03] so more export earnings for the UK. But I wasn't actually doing any more work. So I wasn't

[00:07:07] any more productive. I was still outputting the same amount of work but I actually had

[00:07:12] more money so I was able to spend in the country. So I had contributed more to GDP by

[00:07:18] doing that. So I wonder if I was adding to productivity just by asking for more money

[00:07:23] even though my output was the same? I mean it's a quandary, isn't it?

[00:07:26] Yes. And this is the real problem that we've made this thing about productivity per worker

[00:07:31] under a struggle of the distribution of income between labor and capital. And labor doesn't

[00:07:35] have anything like the bargaining tools it used to have. Back in the days when they actually

[00:07:39] had trade unions with some muscle, these days workers are easily sacked and the emphasis seems

[00:07:46] to be upon getting as much of the surplus generated by a particular production system

[00:07:50] in the hands of the capitalists rather than the hands of the workers. But I mean

[00:07:55] we see what happens with things like the with Boeing for example. And I'm sure if you measure the

[00:08:00] per worker productivity before all the floors started to make the plane start falling out of the sky

[00:08:05] then you know where they would have been getting improved metrics per worker in their internal

[00:08:09] measurements. But they destroyed the engineering foundations of the company and doing it.

[00:08:15] And ultimately it's the engineering that gives you that sustainability over time.

[00:08:19] Right. And then that top line measure for that company is how

[00:08:21] profitable they are. And they're seeing their profits nosedive because they are less

[00:08:26] efficient as the measure as a whole. But I'm interested in this relationship between

[00:08:31] productivity and inflation because that seems to be affecting quite a bit now in that central banks

[00:08:36] are saying well you know if we're going to bring inflation down and we're going to bring

[00:08:39] interest rates down we need to see productivity improve. So I would have thought actually

[00:08:47] you know inflation would help productivity because you're working the same hours.

[00:08:51] I know now the productivity is ultimately mentioned in deflated terms so they go through and

[00:08:55] they'll deflate the monetary value using various indices that are used to try to distinguish how

[00:09:03] much of an increase in nominal GDP is due to a change in prices and how much is due to a change

[00:09:09] in output per head. So that's irrelevant to the productivity question. The inflation issue

[00:09:15] is cancelled out to some extent. Because central banks are making a big point out of you know the

[00:09:18] role of inflation and productivity and how we need to see productivity improvements

[00:09:23] before they can lower interest rates. So if inflation is going at 10% say for example just

[00:09:27] to keep numbers straight and so I am asking for 10% more in wages to try and keep up

[00:09:37] my output is the same as it was before. That's what the indices were trying to work out.

[00:09:41] Yeah GDP goes I guess it doesn't make it shouldn't make any difference. It increases by 10%

[00:09:48] therefore you know its output per worker stays the same once it's linked to inflation.

[00:09:54] But you've got I mean you've triggered a couple of important issues here

[00:09:59] which is you're focusing on how the bank even was trying to control inflation and

[00:10:04] believing they're putting up interest rates they are going to reduce the rate of inflation

[00:10:08] and the argument really comes back to saying money wages rising faster than the increase in

[00:10:14] productivity which is what causes rising prices. And when you take a look at the data and that's

[00:10:18] a terrible thing that economists really shouldn't do this but anyway when I took

[00:10:22] a look at the data for my most recent book the one I'm serializing on on Substack and Patreon

[00:10:29] the change the increase in inflation had there was a small period early in the pandemic

[00:10:34] when wages were rising faster than the rate of inflation but for most of the whole period

[00:10:39] in pandemic particularly once the government subsidies kicked in which were essential otherwise

[00:10:43] we would have had a financial crisis back then. So when the government subsidies for workers who

[00:10:48] couldn't do an over a furloughed and so on started flowing into the workplace there was

[00:10:53] enormous monetary demand and this is MMT makes the argument yes you can have you know if you

[00:11:00] you're a level of government spending too much then you might have inflation as a consequence

[00:11:04] and in that sense yes that did occur but the inflation was in margins it wasn't a case of

[00:11:09] workers putting up their demanding wage rises greater than the rate of inflation courtesy of

[00:11:13] a level of monetary demand it was firms putting up markups and when I looked at it I was like

[00:11:18] the you know of about this over 20 quarters that we went through that were you could regard

[00:11:23] as being the pandemic period three or four of them had had money wages rising faster than

[00:11:29] productivity all of them had a slowdown in output per head which is the you know that's the labor

[00:11:35] oriented metric for productivity but about 15 of them had markups rising faster than the rate

[00:11:41] of inflation and we had you know I do that Steve Keenan thing friends talk on a Saturday

[00:11:46] Denise Hearn and we had on last week did an empirical study which I've loved I want to

[00:11:50] get the results from it she said that markups have risen look at the look in the change in

[00:11:55] markups and the change in markups over time has been greater than the change during the rate of

[00:12:00] inflation for most of the period since not the 1970s so markups have been rising but she made a

[00:12:06] comment about average markups have risen that's the rate of change of markups she said that

[00:12:10] average markup has risen from something like 25 to 60 percent over the last 40 years now I want

[00:12:16] to see that data because you don't actually get those calculations of markups done by

[00:12:22] statistical agencies they ignore that issue but per research implied that markups are now

[00:12:28] such that your cost of production might be one and your price ends up being three

[00:12:32] because of the markup put on by corporations so that's where inflation is coming from and if

[00:12:37] anything's seeing a decline in productivity it's too much going to the owners.

[00:12:41] Actually I think central banks might be onto it a little bit in that they are now saying well

[00:12:44] we want to see less you know we want to see increases in wages being absorbed by companies more

[00:12:49] because they recognize that if it just gets passed on then it's a it's a losing battle against

[00:12:53] inflation isn't it but during during the pandemic here's the interesting thing because

[00:12:57] productivity shot up of course I mean massive spike when we were furloughing and of course it would

[00:13:03] because hardly anyone was working and those who were working were obviously being very productive

[00:13:08] but also there was a slug of government money as well so that was all adding to

[00:13:12] GDP so the country's output wasn't hit as hard as it might have been because of the pandemic

[00:13:18] and very few people were working so if you look at GDP per hour has worked of course it spiked

[00:13:23] which means a factor in this equation has to be how much government money is being pumped into

[00:13:27] the economy. Not so much in the in the in the measuring of productivity but but it's

[00:13:32] it's one of many measures. Output if you if you measure productivity as GDP per hour worked then

[00:13:37] it would be a government this is one of the paradoxes in working with monetary morons otherwise

[00:13:43] known as neoclassical economists who try to pretend the system's a barter a barter economy rather

[00:13:49] than a monetary one so they try to find every reason not to include money in their analysis

[00:13:53] and you know at the same time they're telling us how much money should be created by the

[00:13:56] government blah blah blah but there's no no country has achieved growth in physical output

[00:14:02] per head which hasn't also had a growing money supply and there are two sources for the growth in

[00:14:07] the money supply government spending more than they get back in taxation and banks lending up more

[00:14:11] than they get back in repayments now when you are quarterizing the government all the time

[00:14:17] and meaning you don't have government money in it created by by by the act of spending more

[00:14:23] than you bring back getting back in taxation you're stifling the monetary facilities that

[00:14:29] enable people to you know consider buying a new product or consider investing and said they've

[00:14:35] got to borrow to the investment and banks won't finance money by firms that are borrowing

[00:14:39] they'll find it's money by people are borrowing borrowing to buy financial assets but you try

[00:14:45] getting a loan for working capital or a new investment and it's much much harder these

[00:14:49] days so you don't have to you don't you can't include it in your analysis of

[00:14:56] productivity but you've got to include it as one of the factors that determines whether

[00:14:59] productivity rises or falls over time and an excessive emphasis which has been the last 40 years or

[00:15:04] more near 50 years since the 1970s of restraining government money creation has restrained the

[00:15:11] capacity of people to finance the type of investments and innovations that lead

[00:15:16] to productivity growth yeah now accepting that GDP is not a monetary measure it's really

[00:15:21] combinations of the turnover of money and the supply of money that's measuring our

[00:15:25] productive output our total output for the country but if the government is putting more

[00:15:29] money into that money supply then that is obviously going to expand output and assuming

[00:15:35] we've got the same number of workers then that should add to productivity shouldn't

[00:15:40] well it's the I mean that's why I like syntax emphasis upon the infrastructure is something

[00:15:46] that implies a bit of intelligence in government policy for a change I'm a bit shocked actually

[00:15:51] but that that I argue me is that you you need what causes innovation is often the confluence

[00:15:59] of different people from different industries in the same region and innovation is really often

[00:16:04] not a case of doing something more efficiently producing the same widget you know more rapidly

[00:16:08] it's producing an entirely different type of widget by combining combining ideas from two

[00:16:13] different industries so my favorite example there is which I think I think it probably

[00:16:17] originated in California but it may have been Australia sailboards um sail sailboards were

[00:16:23] something you combine surfboards with with with sales and bang you've got a whole new industry

[00:16:28] and a whole new sport it helps to have people in those two industries in the same town because

[00:16:34] then if the thought of the idle thought occurs to one or the other they can carry that idle

[00:16:38] thought to a finished product but if you have the idle thought and the country only produces

[00:16:42] one or the other you're not about to you're not likely to be able to do the the other

[00:16:47] combine the other element you need so that the idea of infrastructure to enable the

[00:16:52] glomerations to occur is actually quite sensible well that that clip that we played right at

[00:16:57] the very beginning before you and I started talking was really took the soon act the

[00:17:02] I think at the time actually he was the the chancellor of the Exchequer or the treasurer

[00:17:06] not the not the prime minister of the UK he was talking about yeah infrastructure investment

[00:17:14] innovation and investing in skills the three things that he said was going to increase

[00:17:19] productivity in the UK he was saying that in 2021 we're in 2024 now uh productivity has gone

[00:17:25] down productivity was flatlining before the pandemic and it's you know it's it's struggling to get

[00:17:30] back to anywhere near where it was before the pandemic in fact labour productivity within the

[00:17:35] UK fell if we look at it measured the exact put power where it fell 0.3% in the in the first

[00:17:41] quarter of 2024 that's on top of a 0.9% decrease in the previous period so year on year it's just

[00:17:47] up 0.1% so whatever for all the fine words and we hear this all around the place and it makes

[00:17:55] sense yes investing invest in infrastructure make cities work harder skill people up so that

[00:18:02] they can be more productive power work I feel like we've been hearing that for decades and it's

[00:18:07] not working so there's something we're missing isn't there well the thing we're missing is

[00:18:10] not the obsession about reducing the government's deficit the idea that that's the most important

[00:18:16] fact factor in setting a budget is is to make sure you tax more than you spend

[00:18:20] that's but putting that in in the way that I I look at MMT that's saying destroying a

[00:18:26] fiat money improves the economy because fundamentally the source of fiat money

[00:18:30] creation there's a government spending more than it gets back in taxation it doesn't borrow it's it

[00:18:35] converts some of the reserves that it's created by that process into income earning bonds for the banks

[00:18:40] was actually a favourite of the financial system and not something which is which is taking money

[00:18:46] away from the private sector either but by obsessing about that by making that the sole

[00:18:53] the main the main input and everything else is secondary including productivity

[00:18:57] we've seen a fallen productivity it says there's the level of innovation so you can't

[00:19:00] see can't grow productivity or see innovation coming if you're starving the country of cash

[00:19:05] that's what exactly and that's what they're doing the whole idea of trying to avoid a government

[00:19:10] deficit is avoiding government money creation avoiding fiat injections into a mixed fiat credit

[00:19:15] economy and wondering why you don't get innovation at the same time you've let the

[00:19:19] finance secretary do what the bloody world likes the finance section our rules politics I talk

[00:19:23] about a finance rather than a political military industrial complex is now a political financial

[00:19:28] complex but with with that emphasis upon finance as well the banks no longer lend don't lend anything

[00:19:37] like what they used to lend for working capital and for innovation so you haven't you're not getting

[00:19:42] the supply for innovation out of credit based money the government starving fiat based money

[00:19:47] and they're wondering why you know why no why no innovation is apparent well very quickly

[00:19:51] before you go to the break I mean it is a it is a fine line isn't it though so if you if you put a

[00:19:55] lot of government money into the economy and put it into big infrastructure projects for example

[00:20:01] which might have some payback long term and even short term because you're employing people and

[00:20:05] they're working hard but if you're given too much money perhaps they work less hard so for

[00:20:09] example I don't know what the figure was for the HS2 in the UK but you can't help feeling

[00:20:15] if they're given half the amount they might have worked twice as hard on getting it done

[00:20:18] I don't know about that but I think you've also got to have decent planning for these types of projects

[00:20:23] and it's obvious that China is doing a dam site better on planning those sorts of things than

[00:20:28] is happening in the UK or the USA. Yeah all right look when we come back I want to talk about

[00:20:36] resources versus money and the importance of capacity utilization as well I've got a

[00:20:41] Dobby family example which I think is quite interesting so we'll look at that when we come

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[00:21:52] professional post your free job on linkedin.com slash achieve today this is the debunking

[00:22:01] economics podcast with Steve Keane and Phil Dobby so we're looking at productivity this week how

[00:22:11] despite it being talked about ad nauseam around the world everywhere seems to be struggling

[00:22:17] with getting productivity up for whatever reason is it because as we said in the before the break

[00:22:23] was starving economies of cash is it because lost that ability to plan are we just not

[00:22:29] innovative anymore but see if I also wonder whether I mean because it's we're measuring

[00:22:35] money and hours worked rather than the and the output per hour has worked whether you know we

[00:22:42] are ignoring ignoring resources and those areas where there is a lot of capacity so there is no

[00:22:49] one to talk about that is I'll give an example I've successfully managed it's not working

[00:22:54] anymore but a few years back and I successfully got the kids to wash the car in in exchange

[00:23:00] for giving them extra data on their mobile phones so I mean I could have given them money

[00:23:06] but then that would be money that I didn't have to spend but I had all this excess capacity of

[00:23:11] data which I knew I'd never use but they wanted to use they would they were desperate for it

[00:23:17] so I could in effect give them something that I had a great deal of excess capacity in

[00:23:22] to produce an output that wouldn't have happened otherwise so my kids were being more productive

[00:23:28] not by using cash but by me taking something for which I had a lot of spare capacity and passing

[00:23:34] it on to them pretty neat by the way if anyone else is thinking of going down the same road

[00:23:39] but I mean that's an interesting example isn't it the reason why they were more productive is

[00:23:43] because there was a resource there for which there was a lot of spare capacity now we

[00:23:47] don't factor anything anywhere anything that complicated into when how we're measuring

[00:23:51] productivity in in an economy but perhaps we should well this is I mean that that's the

[00:23:55] essential point that really it's often the measures that distort how you think about a concept

[00:23:59] and by reducing adjusted to you know effectively scale in numbers you know per per time period GDP

[00:24:05] and labor you implies you've got to get more out of the labor to get more GDP but it's actually

[00:24:10] quite a complex in the ultimate case of a complex system the whole manufacturing

[00:24:16] in their minerals extraction energy extraction processing of those goods in industrial

[00:24:23] systems distribution of the output and so on it's an incredibly complex system if you look at it

[00:24:30] with the stylized way that mainstream economics encourages with its simplistic you know white

[00:24:35] board and GDP and labor and capital symbols and you don't look at the actual entire

[00:24:43] complex system that is the manufacturing systems through things like sankey diagrams or

[00:24:47] the work of the Harvard economic complexity laboratory then you do end up with having

[00:24:53] incredibly simplistic ideas about how you're going to improve something that you're measuring badly

[00:24:58] so it is a case that most most corporations have excess capacity for very good reason

[00:25:04] that again that's that contradicts mainstream economic theory so economists aren't even trained

[00:25:08] to look at the issue of capacity utilization pardon me and you don't look at the role of energy

[00:25:15] the ultimate resource of that energy you can't do anything so it's the availability of energy

[00:25:20] the transformation of energy into useful work the machinery that enables that to happen

[00:25:26] and then the extent to which you have other industrial sectors that enable you to do that

[00:25:30] production in one country rather than having to import or or you know rely upon third part

[00:25:37] you know third country so that's that's importing so pardon me I'm waffling but

[00:25:42] but it's it's you have to have a systemic view to be able to answer this question properly

[00:25:46] yeah all that but they would but they would say wouldn't they well you know yes but you

[00:25:50] but however you do it you you're going to get down to the same simple process that

[00:25:55] the energy is an input it's an input cost how is that energy efficiently used or

[00:26:03] accumulated or acquired well that gets down to the profitability of the energy company they're

[00:26:09] going to do whatever they can to produce it the most efficient way because they want to maximize

[00:26:13] their profits if we're buying it into it into the country then that's that's an import so that

[00:26:18] affects our GDP because the the balance of trade is a factor in that GDP calculation

[00:26:24] so it's say you know all of that you know forget your complex model Steve

[00:26:28] look at the profit of it you know the the market the market is going to efficiently

[00:26:32] produce this this energy that's the magic ingredient of course sorry I feel like I'm

[00:26:36] throwing the magic ingredient they might wave the magic wand of the market system competition

[00:26:40] Steve exactly the market exactly and so all of that's going to be affecting the GDP of the country

[00:26:45] so energy is factored into into all of that so all we're left with is how many people are being

[00:26:51] employed and you know and and because that's all we can influence you explain it are you

[00:26:56] actually running as the Tory candidate for your or your Mr. Devils advocate is standing here

[00:27:05] indeed and that's that's the unfortunate I mean I don't say that would be the argument though wouldn't

[00:27:09] it that however you whittle it down you get down to this this simple equation and it does it is

[00:27:14] the markets do the work yeah and that's the problem and we have people who believe there's

[00:27:17] nonsense being in in charge of whether you decide to have industrial policy or not and that's one

[00:27:22] of the intriguing elements of recent times because the countries which have focused upon

[00:27:28] this you know neoclassical ideas of efficiency and and you know reducing the power of workers

[00:27:37] etc etc and busting up those terrible monopoly sellers of labor they're the ones which have

[00:27:43] suffered the last 15 to 40 50 years of pathetic levels of economic growth while they focus upon

[00:27:50] economic growth is the only way they're going to measure whether their society is as successful

[00:27:54] or not whereas China in particular has had a much more holistic attitude to how it puts an entire

[00:28:02] global economy together and have creamed the West in terms of the quality of the technology and

[00:28:09] ultimately also the cost competitiveness of what they produce so it should be a wake-up call

[00:28:14] to anybody who thinks you can reduce things to these simplistic measures but we've had simplistic

[00:28:18] people in charge for the last 50 years following whiteboard economics in the West and look

[00:28:23] and the result is the West is losing out dramatically to China while also ignoring what

[00:28:28] it's doing to the ecology etc etc well is it okay to use that as the top line measure though to say

[00:28:33] well okay let's look at ours per word as a proportion of GDP in relation to GDP as our

[00:28:38] measure of productivity let's use that that's almost like our you know the one stat we're

[00:28:43] going to follow but it's how you get there that is the question or is that just a meaning

[00:28:47] meaningless measure so for example for Rishi Sunak saying yeah we want to invest in infrastructure

[00:28:52] we want more innovation within the country and we are going to grow skills which has been in for

[00:28:58] quite a long time now so there's a lot of people all over the world if you do all of that would you

[00:29:02] see GDP power our worked improve if it was working would that be an okay measure or is

[00:29:08] there something else we should be using as a top line measure it's always something it's always

[00:29:13] something else because again this this is ignoring the complexity of the system and summarizing

[00:29:19] it in a few numbers and then and then having your decision making driven by those few numbers

[00:29:24] rather than looking at the overall complexity that's why I've got a great deal of time for the Harvard

[00:29:29] economic complexity study which I recommend if people haven't taken a look at search for it and

[00:29:34] you'll find it done by mainly by computer scientists there are some economists involved

[00:29:38] unfortunately but mainly computer scientists so it's intelligent and what they do is they

[00:29:42] take a look at the pattern of interdependency between different industries and then work

[00:29:47] out a metric by which they can say how far one industry is distant from another industry

[00:29:53] so and you'll find combinations occurring people would normally expect so art obviously depends

[00:29:58] upon the chemistry industry for example because you're using chemicals and a huge amount of art

[00:30:02] so those are two industries which are close together whereas others can be an enormous distance

[00:30:06] from each other now once you do that chemicals you smoke you talk about I mean what's the

[00:30:11] connection that helps you what's the chemistry are connections so you lost me on that

[00:30:17] oh you see everything you do without virtually much involves putting a chemical on another surface

[00:30:23] right okay okay not obviously acting or then again one wonders but but but the fundamentally

[00:30:29] what you get they have this overall pattern for industries in general and then they look

[00:30:34] at how much of a particular national economy has those different divisions together and what

[00:30:41] what areas are potential areas for expansion and technological development because if you have two

[00:30:48] industries which happen to be close together and that's that's the example I gave before the

[00:30:51] break the surfboards and the and the sails they're close together you can innovate and come

[00:30:55] up with something new so that that's the prime but also I can see that so the more complex

[00:31:01] the greater complexity within the economy and the more opportunity there is for companies to

[00:31:06] work together and therefore you know you you get closer supply chains as well so all of that creates

[00:31:11] efficiency for companies so therefore you'd expect companies to be more productive individually

[00:31:16] but that top line so I can see that you could say well okay if you've got a more complex economy

[00:31:21] then you're going to have greater economic output greater economic growth so you'd still

[00:31:25] be going back and saying well that's just an important contributing factor you'd still

[00:31:30] be looking at something like GDP for the top line measure wouldn't you though so you can see whether

[00:31:33] you're you do but you use the top line measure as your metric you don't use it as your guide as

[00:31:38] to what to do yeah you work out whether you're doing this working on that basis and that's

[00:31:43] where the economic complexity lab comes up being against comparative advantage for example and

[00:31:47] saying if you look at countries that focus in their so-called comparative advantage they end

[00:31:51] up growing more slowly than ones which have a diversified industrial structure because the

[00:31:56] diversification gives you capacity to consider bringing together industries

[00:32:00] which don't currently exist and if you have a totally specialized industry system you don't

[00:32:06] actually have those potential synergies out of creating new combinations to create new industries

[00:32:11] so this is the it ends up with a farmer you have to reflect the underlying complexity

[00:32:19] of the production system uh till you're able to even talk about how you're going to improve

[00:32:25] over time and what comes out of the Atlas of Economic Complexity is advice which is totally

[00:32:30] contrary to neoclassical thought and if I had to think of anything which dominates any ideology

[00:32:35] apart from give as much as I can to my mates dominating the Tory party and for that matter

[00:32:40] but the republicans and democrats back in the usa as well it's it's you know compared

[00:32:45] it's conventional economics comparative advantage specialization blah blah blah

[00:32:49] they are anti they are anti the wrong thing yeah and equally focusing on the government deficit

[00:32:55] that's that's if we're desiring it to be zero or negative and there's the current obsession

[00:33:01] that's destroying part of what's necessary to enable that system to grow in the first place

[00:33:06] it's with sucking cash out of the economy so how can you grow if there's no money exactly so

[00:33:10] so um this preoccupation with GDP per hour worked has another problem as well one is this

[00:33:16] a tendency for you to look and say well how do we do compared to the rest of the world so

[00:33:22] countries with the deal in money rather than producing stuff like island for example

[00:33:27] in 2019 before the pandemic in us dollars sort of allowing for purchasing parity it was 125

[00:33:34] dollars per hour work compared to the uk which was 54 which is way less but there's no comparison

[00:33:42] because they're not producing stuff they're just moving money around so if you look at gdp per hour

[00:33:47] worked well that you know that that's form-filling and working on spreadsheets isn't it i mean the

[00:33:54] island is such an unusual example they've managed to get away with exploiting

[00:33:57] differences in tax regimes between the other members of the european union but they the

[00:34:02] gap between uh there's so much of the money goes to the hands of national and the transnational

[00:34:08] corporations taking advantage of their low tax rates that you have to distinguish gdp

[00:34:13] gross national product from gross national income um because the the gdp figure greatly

[00:34:18] overstates the standard living in in in island uh so your islands are island and luxeburg are two

[00:34:24] countries when i when i put together collective statistics the best thing you can do is leave

[00:34:30] their numbers out of the whole damn system because they distort things too much because

[00:34:33] of the balance of trade because they've got some yeah because they've got so much in the way of

[00:34:37] exports but i mean even if you just look at uh the uk versus the united states we're on 54 in the

[00:34:42] uk 73 for the united states do they just work harder they've got bigger companies no they've

[00:34:48] got better technology they've degraded it dramatically but again it comes down to better

[00:34:51] quality technology and this is something i when i when i wrote the most recent book one that

[00:34:56] i'm serializing uh the on patreon and sub stack um i looked at the way in which economic

[00:35:04] theory developed its model of output and production and the initial uh there's a huge huge errors and

[00:35:11] even using those concepts in the very first instance but cob and douglas who gave us the

[00:35:16] production function neoclassicals love these days the cob douglas production function

[00:35:20] when they first did their numbers they looked at uh they they fit an equation where output was

[00:35:26] a constant multiplied by labor raised to one power to capital times capital raised to one minus

[00:35:32] that power and they then got the coefficients which can which confirm we which corresponded to

[00:35:39] neoclassical theory about income distribution which is why the neoclassicals lashed onto the model

[00:35:44] so much but they didn't have it they didn't have a separate role for technology and then in the

[00:35:49] 1950s robert soler said well we should actually include technology as a separate factor of

[00:35:53] production and then when he put that in and then regressed that against the current data he

[00:35:57] simply assumed that the income distribution figures were correct so labor's coefficient

[00:36:02] remained at i think 0.75 at that time and 0.25 for capital and they then regressed the equation

[00:36:09] against change in to change an output regressed in change in technology plus change in labor plus

[00:36:14] change in capital and they found that between 70 and 85 percent of the increased output had nothing

[00:36:20] to do with labor and capital that all came out of the technology component yeah and that's

[00:36:24] actually that's a but that's actually a mistake of the reason being that technology is not an

[00:36:29] independent factor technologies embodied in the machinery that you put together for a production

[00:36:34] process so cob and douglas were quite right not to separate out technology and by doing by doing

[00:36:39] a putting technology in a separate box this is where we've had this obsession about productivity

[00:36:44] per worker coming from which has distorted our capacity to actually create higher productivity

[00:36:49] per worker but but also i mean if you i mean the end the end result of all of that which

[00:36:54] we're seeing isn't it that companies will mechanize more use technology more they'll employ

[00:37:01] people less because those people will be working more efficiently so for example the number of

[00:37:05] people who work in microsoft for the output for that three trillion for companies worth three

[00:37:10] trillion is very small compared to for example a chain of retail stores so you get a great

[00:37:17] you know output per hour worked so hugely productive companies but a disaster when it comes for

[00:37:24] you know spending the income around yeah and this is the other thing what we actually had

[00:37:28] by focusing by saying don't worry about the distribution of money in the cake let's just

[00:37:32] get to grow the cake we've had economists and politicians putting up policies that fail to

[00:37:37] grow the cake but increase the the distortion of income distribution so the income and that's

[00:37:42] where the markup issue comes in if you've got markup which have gone from say roughly 25

[00:37:46] percent above cost of production to determine the prices to where it's 65 percent then you've

[00:37:53] got a massive increase in inequality and then that feeds back in terms of your demand in your economy

[00:37:58] again because it's only the wealthy who are buying relatively to what it was say 50 years ago so you

[00:38:04] have a much more narrow demand base and guess what you're going to get lower growth because the

[00:38:09] rich don't spend as much on goods and services per capita and per dollar as the poor do and

[00:38:16] and the cake's not growing because it gets back to this issue about well you're sucking if you're

[00:38:20] sucking money out of the economy how can the cake grow so it's been a it's been a shadow game

[00:38:25] these shadow discussions are all predicated without people being conscious of it on an economic

[00:38:30] theory which is wrong yeah all right very quickly before we go there's an argument that from some

[00:38:37] I've heard this a bit recently the reason why the US is doing better with productivity

[00:38:43] so they've productivity in the US however you measure it but you know in terms of hours work

[00:38:46] by GDP but the economy anyways is strong people are employed the reason is because people were laid

[00:38:55] off in the United States and they found new jobs which were more productive so basically it sorted

[00:39:02] the economy out whereas furlough very important at the time in Europe the UK and Australia

[00:39:08] people's jobs were kept open for them and so you know many jobs weren't really needed

[00:39:13] but we had government money propping them in supporting them which wasn't particularly productive

[00:39:18] so sometimes perhaps you do need a bit of it really are unequivocally being a choreocamper

[00:39:23] well this is the argument given I mean I can half see that argument that in fact if you

[00:39:28] you know if you do prop up jobs and they're not jobs that are needed no one's going to say

[00:39:32] anything are they they're just going to keep on working less and less which yeah I am

[00:39:37] sound like a Tory candidate now because I'm going to say it's not good for them they would feel much

[00:39:41] more satisfied if they had a job which actually had a more productive output oh yeah I think you're

[00:39:46] actually most likely win that campaign so congratulations well so there you are you're

[00:39:51] going to join me you're going to come over to the dark side Steve join us in the in the

[00:39:55] Tory party there you go well it's the only thing it's growing in town after all but it looks

[00:40:00] like its faces are fairly severe shrinkage but it is but it is a point isn't it about

[00:40:05] productive jobs so and you know in some of you we've talked about in the past about bullshit

[00:40:09] jobs as well which can be in large companies so this guy called David Olvitch who's a partner at

[00:40:14] a Silicon Silicon Valley venture capital company called Anderson Horowitz who he reckons you could

[00:40:20] get rid of half of the white collar staff at Google because they don't do any real work he said

[00:40:24] the company spent billions and billions of dollars per year on projects that go nowhere for over

[00:40:27] a decade and all that money could have been returned to shareholders who've got retirement

[00:40:32] accounts but instead they they're paying people I remember my dad and I'm don't know so question is

[00:40:40] is that necessarily a bad thing I remember my dad saying my dad worked for ICI for years

[00:40:44] and he said there are a few people in his office who did absolutely nothing at all but nobody said

[00:40:48] anything he said you know they just looked a bit bored and they kept they kept their jobs

[00:40:52] so they were hugely unproductive but I guess if they weren't there they'd be claiming the

[00:40:55] doll somewhere so does it actually make too much difference no I think we're focused far too much

[00:41:00] on thrashing the workforce and not enough on thrashing the people setting the markups

[00:41:05] and you know we ended up with a very distorted income distribution that's partly why you have such

[00:41:10] low levels of growth because the money is going to people who don't spend they buy assets instead

[00:41:15] and you know again this is we can actually make a judgment on the whole neoliberal period now

[00:41:21] because we've had neoliberal policies in charge for pretty much 50 years so I date

[00:41:25] the start of the neoliberal period to 1974 which was both when there was a

[00:41:31] actually was a credit-based crunch or globally a collapsing credit-based demand but also the

[00:41:37] growth of inflation at that time that led to the takeover of government policy by the freedmen

[00:41:42] ites and and the whole now neoclassical resurgence occurred at that stage when you look

[00:41:47] at economic growth from 1955 to 1975 so 20 years there and compare that to the last 50 years now

[00:41:55] the average rate of growth in the 50s and 60s and early 70s was about twice what's been achieved

[00:42:01] under neoliberalism so on its own merit on its own metrics it's failed so but you know the

[00:42:08] ultimate in neoliberalists Rishi Sunak saying invest in infrastructure invest in innovation

[00:42:15] skill up the workforce we don't see anything wrong with that he's just got to actually spend

[00:42:21] the money to make that happen which is the bit he struggles with that's the hard part because again

[00:42:25] it's come back to the budget restraints and bang you don't do it you don't provide the money

[00:42:28] that's necessary so it's all words do you think anyone's ever going to get productivity beat

[00:42:32] because we've been talking about this for decades and no one ever seems to quite get get a

[00:42:36] handle on well and we're seeing individual examples of what actually gives gives a rise to that

[00:42:40] and often it's you know producing everything in house that's one thing which which SpaceX is

[00:42:45] extremely good at and and the comparison of their success rate versus the farming everything out

[00:42:50] and and and you know the what do they they call it when you distribute the production amongst

[00:42:57] outsourcing it's obvious in sourcing works better because you've got a whole bunch of engineers

[00:43:02] working together and ultimately what gives us rising productivity is engineers working out

[00:43:06] ways to more to get more energy into a process to enable that process to be done

[00:43:13] you know exploiting more energy now that's that's been the focus and that's one we can't

[00:43:17] sustain because hey we live on a planet hard to how to realize that but we do actually live on

[00:43:21] a planet with physical boundaries and we're destroying the capability that's just and by

[00:43:26] the amount of energy we're using so I don't think the only solution for the energy for

[00:43:30] the productivity dilemma in the long term is to get us off planet but that's

[00:43:35] obviously into the area of science fiction at the moment and there we go again yeah absolutely

[00:43:40] all right well I mean but that idea of of insourcing for a company I mean that's a bit like

[00:43:46] on shoring for a country as well isn't it and maybe the tide has turned a bit because we are

[00:43:50] starting to see post-covid the long supply chains don't work and as you say that the

[00:43:55] economic complexity argument is that you got to do more within your country if you're going to

[00:44:00] get productivity gains as a whole yeah so yeah so maybe we are heading in the right direction

[00:44:05] it's just taking time and you've got to spend money on it all right good to talk Steve

[00:44:09] some positive stuff see you soon see you next time okay my the debunking economics podcast

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