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0:00
I'm Elise Hugh. And I'm Josh
0:02
Klein. And we're the hosts of Built
0:04
for Change, a podcast from Accenture. On
0:06
Built for Change, we're talking to business leaders from
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0:13
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0:15
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0:18
soars when companies truly listen to
0:20
what their employees value.
0:21
These are insights that leaders need to know
0:24
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0:26
for Change wherever you get your podcasts.
0:28
The legendary
0:31
Noah Smith makes his China Talk debut
0:33
alongside longtime guest
0:35
Matt Klein. We'll be talking China's economy,
0:37
industrial policy, the 2024 election,
0:40
and more with two of the sharpest
0:41
econ sub-stackers in
0:43
the game. What are we trying to talk
0:45
you to? Man, you should be a sports announcer. You're
0:48
too good for the podcast circuit. As
0:52
soon as someone offers me that UFC
0:55
announcing contract, I will be there tomorrow. But
0:57
in the meantime, we're stuck talking about
0:59
the Chinese economy. Matt, what's up with
1:01
it?
1:02
Up might not be the right word that I'd
1:05
use for this. I mean, essentially,
1:07
there are two perspectives that
1:09
I would take. One is a much longer term
1:12
structural perspective of what's really been happening
1:14
over the past 10, 15 years.
1:17
And there we've seen basically the Chinese economy
1:19
gradually slowing down from a peak growth
1:21
rate around the double
1:24
digits that was reached around 2010, 2011. It
1:28
was slowing down pretty consistently before the pandemic
1:30
to something around like a 6%, 7% growth
1:33
rate. And that's really sort
1:35
of if you zoom out, that's essentially where
1:37
we are now is essentially a continuation of that trend
1:39
and that process. And then separately, there's
1:42
what happened with the pandemic and what's been happening more recently
1:44
with the end of the COVID zero restrictions.
1:46
So China,
1:47
as you and your listeners all know, reacted
1:50
the pandemic emerging initially by
1:53
essentially shutting down large swaths of the economy, literally
1:55
locking people in homes and so forth. And
1:57
that was extremely disruptive and repressive, but.
1:59
It did work in the short term in 2020
2:02
anyway, sort of arresting the spread of the virus and allowed
2:04
a degree of normality to return by the
2:06
summer of 2020. But then as the virus
2:08
mutated, it became a lot more
2:11
contagious by the time you get to 2022, that wasn't
2:13
really working. So government
2:16
officials in China at the local level tried to do
2:18
this again, places like Shanghai and in
2:20
Guangzhou, and it just didn't really work the same extent.
2:23
You just had much more repression, much more shutdowns. Economy
2:25
really had a rough time. You
2:27
get to the end of 2022, there's essentially
2:30
mass protests about the arbitrariness of this.
2:32
You have a situation where people
2:34
are killed because there's a fire in a building
2:36
and they're not allowed to leave because of COVID restrictions.
2:40
Eventually, the policy just, there's
2:42
a complete turnaround at the end of 2022 saying, okay, we're
2:44
going to get rid of all restrictions.
2:47
The hope was at the time that once
2:50
that
2:51
the restrictions were over, there would be presumably
2:54
a few months of extreme disruption as a lot of people
2:56
had not gotten sick and had not been properly vaccinated
2:58
would get sick and alone die.
3:00
But that hopefully, if we're looking at sort of the bright side
3:02
here, that by the end of that, by say like March of
3:04
this year, things would actually be pretty open
3:07
and then the economy would really be able to... All
3:09
those restrictions would be gone, you'd had a real robust
3:11
rebound and wherever the economy
3:13
should have been absent,
3:15
the pandemic is where we would have ended up relatively
3:18
quickly. And what's interesting is that that didn't really happen. You did
3:20
have a fair amount of death and disruption
3:22
in January and February and December. You
3:26
don't really know what those numbers are. You may never know what those numbers really
3:28
were. But since
3:30
then, you haven't really had the kind of rebound
3:33
and growth you would have expected. All the data
3:35
you'd be looking at that they publish on a monthly basis, things like
3:37
the retail sales numbers, various measures
3:39
of industrial production, investment, whatever, not
3:42
really been doing very well at all. In fact, there's
3:44
been essentially... If you're
3:46
looking at things like what is the trend in
3:49
retail spending and
3:51
what has spending been like recently relative to
3:53
that, it's remarkably poor. There's
3:55
basically been the idea there'd be some sort of revenge
3:57
spending bounce back. The kind of thing you saw... by
4:00
the way, in 2021. We
4:02
haven't really seen that this year in
4:04
any meaningful way. And we
4:06
know it's bad because in addition to just me
4:08
looking at data and other people looking at the data that are
4:11
published, there are also a lot of news articles
4:13
about how the Chinese government senior officials
4:15
are trying to figure out what to do about this. And
4:17
so that's the real indicator that something is bad because if they think
4:19
there's a problem, then they're probably seeing
4:22
things that we're not seeing here. And so there
4:24
have been various attempts to try
4:26
to
4:27
invigorate the economy. So Matt, there was a
4:29
blockbuster article by Ling Ling Wei in the Wall
4:31
Street Journal, basically making the case that
4:34
she is sort of ideologically
4:37
opposed to like the softness
4:41
of doing helicopter, throwing
4:44
money out of helicopters and bailing out and
4:46
trying to stimulate demand from a consumer
4:48
perspective and how this is potentially
4:51
a major closing off
4:54
what a lot of Western,
4:56
but particularly Chinese economists are increasingly saying
4:59
is like the thing that China needs to do in
5:01
order to start to
5:04
get the economy on track in the sort of
5:06
near term. Do you, well,
5:08
I mean, who knows to the extent
5:11
that that's true, but like how much would
5:13
getting over that sort of like ideological
5:16
hurdle of like actually being like
5:18
a consumer demand driven economy
5:20
and not one where this sort of the
5:23
state support is only flowing towards semiconductors
5:26
and electric vehicles or what have you. How
5:29
much does that open up the aperture for
5:31
like smart policymaking from a macro
5:34
perspective?
5:35
So first of all, I think that news story is
5:37
entirely plausible because it's consistent with things we've
5:39
seen in public, not necessarily that Xi
5:41
Jinping himself has said, but that other people affiliated,
5:44
broadly speaking, with sort of elite policymaking have said
5:46
that they talk about the concern of welfarism
5:50
and they say that we don't want to end up like Latin America.
5:52
They're very explicit about this, that this is
5:54
what essentially, the reason why Latin America didn't develop
5:56
past a certain point was because the governments just gave
5:59
people stuff and then they didn't. They lost the will to work
6:01
and what have you that that's sort of the official
6:03
that's the interpretation from a lot of
6:06
Chinese I just don't know making elites and
6:08
just like brief detour Noah
6:11
and Matt is that a reasonable interpretation
6:13
of the second half of the 20th century? I
6:17
It's a little extreme. Yeah,
6:19
I don't I don't think that's I mean I Will
6:23
say that Latin American development model ended
6:25
up being very different from what China ended up pursuing But I don't
6:27
think that necessarily explains. I don't
6:29
think their interpretation of it necessarily
6:32
is correct I think also even if that
6:34
is what you think happened in Latin America. The situation
6:36
in China now is so different from
6:39
Anything that's ever happened there that I don't really think
6:41
it's a comfortable situation They do that that Chinese
6:43
workers are you know gonna are Lazy
6:46
and not producing enough and that they're just
6:48
taking from society I mean if we just look at
6:50
anything we see about actually what's going on The
6:53
story of the Chinese economy of the past 30 plus
6:55
years is actually that workers in China
6:57
have been progressively squeezed and that all
7:00
the instruments of state formal and informal
7:02
have been used to take from workers
7:05
and Redistribute purchasing power that
7:07
workers should have had to go towards local
7:09
governments and businesses and the reason they've been able to
7:11
build up so much infrastructure or choose to build up some
7:13
infrastructure and real estate development so
7:15
forth is precisely because It's
7:18
the flip side of taking from people who otherwise would
7:20
have bought other things You know there's Jordan
7:23
you've had on the show, you know, Natalie Helton Scott Roselle
7:25
They're talking about you know, the the
7:27
vast poverty impoverishment of large swaths
7:29
of rural China I mean, this is I think The
7:32
natural flip side of all the people
7:35
say oh, what's the cost of China over investing
7:37
or what have you or spending too much? investment out of the consumption
7:40
Right, it's actually,
7:42
you know shocking levels of ringworm and
7:44
in children and you know, not having the
7:46
corrective vision
7:47
Treatments and things like that the people not knowing how
7:49
to read So that that
7:52
is really the flip side here. And so I
7:54
think there is this huge ideological problem here
7:56
I think there's also a structural problem on top of the ideology,
7:58
which is that Maybe
7:59
be
8:00
just a little speculative, but if
8:02
you have a very Leninist political
8:05
system and a way of organizing the world, if
8:07
you want to have your party being
8:09
in control of the commanding
8:11
heights of the economy because that's how you stay in charge of society,
8:14
then
8:15
your natural
8:17
preference is going to be having economic activity
8:19
concentrated in things
8:22
that you can control, so very much at
8:24
the government level or big businesses or things
8:26
like that, and not so much having spending
8:28
power dispersed among lots of consumers who buy what
8:31
they want and then have businesses respond
8:33
to what consumers want. So obviously it's not 100% one
8:36
or the other, but I think you can clearly see
8:38
that over time that's
8:41
generally been sort of the way that I think Chinese political
8:43
economies evolve. I think it explains a lot of
8:45
why is it that consumer spending in China
8:47
is so low as a share of national
8:50
output, and I think that creates all these other problems, including why
8:52
is real estate such a big thing? I mean, the reason real estate
8:54
has been so large, residential real estate,
8:56
isn't because lots of Chinese people need
8:59
housing. I mean,
9:00
sure,
9:01
there are lots of Chinese people, they need homes, but the reason this
9:03
stuff is built is because it's mostly the
9:05
only way that Chinese people can
9:08
save money in a way that isn't
9:10
either. The stock market has notoriously been filled
9:13
with scams and speculation. Basically the total
9:15
return over time is close to zero for many,
9:17
many years. Put money in the bank, which
9:19
historically you get basically pitiful
9:22
interest relative to inflation or growth, anything reasonable.
9:24
So the only other thing you can put it in is
9:26
housing. And so that's why Chinese house
9:28
prices, in terms of if you look at
9:31
price per square foot relative, in
9:33
dollar terms, not even relative income, but just in dollar terms, it's
9:35
actually pretty close to what it is in the United States, which is insane
9:38
because incomes are so much lower there. And
9:41
that's because of course there's a lot more money going in there for
9:43
these sort of investment saving purposes relative
9:45
to those things. But that's a function of people not
9:47
having the ability to consume
9:50
as a function of the distribution of income being very skewed. A lot
9:52
of people buying housing that hasn't built yet
9:54
because it's just where they put their money. And so these
9:57
are kinds of the bigger, among the reasons.
10:00
reasons why they have this kind of
10:02
limitations here. I think that the ideological
10:04
issues at the top are certainly part of it, but there's a
10:07
lot of factors that are also combined here, which
10:09
I think are unfortunately going to be preventing what,
10:12
as you said, economists in China think, or many economists in China
10:14
think, is sort of the right approach. The
10:17
thing that's highly unintuitive to Western
10:19
observers is this idea that switching to consumption-based
10:21
service industries would accelerate productivity.
10:25
In advanced economies, what
10:27
we've seen is that a long-term shift
10:30
towards service industries has slowed productivity
10:32
via the Balmle effect because
10:34
service industries inherently have less opportunity
10:37
for productivity gains
10:39
than manufacturing at the point where
10:42
most developed
10:47
economies are. Manufacturing
10:49
productivity for the United States, for Japan, grows
10:51
faster than services.
10:54
But I think that this logic
10:56
flips for a developing country that has suppressed
10:59
growth of its service industries because we actually
11:01
have gotten quite a bit of productivity growth in service
11:03
industries. We just got it slower, and we got
11:05
it in the past, and we really
11:08
never went through a phase where we suppressed service
11:11
industries. We've had doctors
11:13
and the Sears catalog for hundreds of
11:15
years. We've never really repressed
11:17
service industries, so their productivity health
11:20
care has grown slowly, slowly,
11:22
slowly over time. China has benefited
11:24
from relatively little of this, which is one reason
11:26
why their GDP is stuck
11:29
at generously a little
11:32
less than a third of ours, maybe even lower.
11:34
One reason is because
11:37
manufacturing productivity tends
11:39
to converge pretty quickly with the international
11:42
average. You see this in ...
11:45
Danny Roderick, the economist, has some
11:47
papers showing this. Actually even in Latin
11:49
America, even in Africa, anywhere, manufacturing
11:52
productivity tends to reach the global frontier
11:54
pretty easily. For
11:57
most countries, industrialization is a question of how
11:59
much ... manufacturing can you have in
12:01
your early development? Can you do this sectoral shift,
12:04
this sectoral allocation where you get a lot of
12:06
people to work in manufacturing? Well, China
12:09
absolutely did and it's arguable that they did this
12:11
too much and so
12:15
it is possible to go toward,
12:18
we think, oh we need more manufacturing because the productivity
12:20
goes up faster. Well, it's possible to go too far. It's
12:23
possible to do too much manufacturing so
12:25
that your productivity already converged,
12:27
like Huawei phones are
12:30
not appreciably worse than the iPhone, or
12:34
Chinese manufactured products are not appreciably worse. I
12:36
mean, sometimes they're a little bit
12:38
worse because they're a little bit cheaper, lower
12:40
end of the market stuff, but there's
12:43
not a huge difference in productivity
12:45
between China and advanced countries
12:47
in terms of making stuff in a factor.
12:50
What there is,
12:53
their service industries just
12:55
really suck and because
12:59
instead of service industries, they've
13:01
tried to substitute things that
13:03
they thought were like, I don't know, manly
13:06
warlike or just suited
13:08
their ideological preferences or suited
13:11
their political economy of being able to hurl money at
13:13
the right people. By
13:15
building too much real estate, by building, I wouldn't
13:18
say too much infrastructure, but maybe too
13:22
fast or in the wrong places, but then especially
13:24
real estate. They just built
13:26
apartments and apartments and apartments instead of figuring
13:29
out how to employ people in service industries like
13:31
healthcare and insurance and
13:34
whatnot
13:35
and retail. That's
13:37
been a problem for the Chinese economy.
13:39
It runs counter to our
13:42
intuition that they should actually shift towards
13:44
service industries in order to boost productivity. But
13:46
the point is when you're a developing country that's not
13:49
very good at service industries, but has largely converged
13:51
in manufacturing, that's kind of what you should do.
13:53
I'm just going to briefly add that what's interesting is that
13:55
despite all these sort of structural restraints
13:58
and limitations on the Chinese service, service sector,
14:00
you nevertheless have seen the emergence
14:03
of some incredibly successful and globally
14:05
competitive Chinese software companies, for example.
14:08
Now, this is a situation where the
14:11
government sort of pushed back and they don't like the kids
14:13
playing too many video games or whatever, but it's still striking
14:15
that even despite all these things, there
14:17
clearly is a lot of potential there. It's unfortunate.
14:20
It's not like Chinese society is destined
14:22
to be underdeveloped or anything like that. Clearly, it is there.
14:25
It's just that you have a
14:27
sort of structural problems with the way the
14:30
government, what they incentivize and so forth.
14:33
It's unfortunate, but it does suggest there's a lot of room for growth
14:36
if things were different.
14:38
So let's take that and sort
14:40
of come to the peak China question.
14:43
And let's just do this
14:45
from a sort of economic growth, maximizing
14:48
their potential perspective. Let's
14:51
say we're sort of like baking in
14:54
roughly the same sort of governance and
14:56
ideological, economic
14:59
ideological outlook that we've seen for the past 10
15:01
years, for the next 10 years. Does
15:04
that mean we've hit peak China? Is
15:06
this sort of radical shift in
15:09
the narrative about China's
15:11
future sort of economic place in the world
15:13
that we've seen from 2020 to now justified, overblown?
15:18
Noah, what's your hot take?
15:21
I think that peak can mean many
15:23
things. Is China as rich as it will ever get? No,
15:26
it will get richer than this. Have
15:29
we seen peak China growth in terms
15:31
of growth rates? Yes, we absolutely
15:34
have. They will not return to 10% growth. They
15:37
will only return to 6% growth
15:40
very briefly and with heavy data manipulation
15:43
massaging. So in that sense,
15:45
we have seen peak China. The question is, have
15:49
we seen peak China in terms of its relative
15:53
sort of economic catch-up to
15:56
developed countries? In other words, is China
15:58
going to stay symbolize
16:00
at its current place in the economic
16:03
hierarchy of the world. I would say that if
16:05
not now, then pretty close. We're
16:08
pretty much at the peak now. I
16:10
would say yes, but that's much more
16:13
open to argument, I think. In
16:18
terms of Japan, with retrospect,
16:21
we saw peak Japan
16:23
in the late 80s. That
16:27
was not necessarily clear until decades later.
16:30
It's going to take a while for us to figure this out.
16:32
I think that what we are seeing
16:35
is a more nebulous, vague peak in terms
16:37
of Chinese state capacity and
16:40
industrial effectiveness. I
16:43
think that China is
16:45
currently capable of doing absolute marvels,
16:48
and we are seeing those marvels getting done, things
16:50
that no other country in the world can
16:52
possibly come close to matching. The
16:54
fact that they built more
16:57
than half the world's high-speed trains in just a few
16:59
years, they
17:03
have more than half the world's miles of high-speed trains.
17:05
That is incredible. They built it in
17:07
a decade. That's
17:10
just unfathomable. Japan couldn't do that. No
17:12
one can do that. France couldn't do
17:14
that.
17:15
The fact that their car industry
17:18
exports have gone from basically and
17:20
also ran almost non-existent to
17:22
being the world's largest car exporter in, I think,
17:24
two years, that is incredible.
17:27
No other country can do that. China
17:31
is currently capable of producing industrial
17:33
wonders. In
17:35
that sense, when people talk about
17:37
peak, everyone thinks about the
17:39
decline that comes after the peak, but it's possible to
17:41
peak in plateau. If you looked at,
17:44
say, Germany, and you
17:46
saw in the 1880s, by that time, Germany was already the
17:51
manufacturing powerhouse of Europe. One
17:53
of the manufacturing powerhouses of the world, and arguably
17:55
the highest quality manufacturer, the
17:58
manufacturer of the most technologically advanced vehicles, is the products
18:00
on the planet by 1880 but
18:03
you see it's not until really
18:06
it's not until you know Nazis you
18:09
know came in and messed it up that
18:11
you see them that you see them really start to decline
18:14
Germany was still right at the top all the
18:16
way up until you know the Nazi era so
18:19
these countries and that was that was over
18:21
half a century the country's gonna very
18:23
long you know plateaus where
18:26
they're capable of doing wonders you
18:28
know for many decades before you
18:31
know things like aging or
18:33
you know the shift of industrial clustering
18:36
to other countries start to catch up with them right
18:38
you can you can be at that peak for a long time
18:41
you know you mentioned aging I think that's a very relevant
18:44
point for thinking about China's
18:46
situation I mean I completely agree with you that the
18:48
growth rate peak
18:50
you know 2010 so people acting
18:52
now like oh China's gonna slow down
18:54
for like as anyone looked at the numbers
18:57
I mean clearly that there's been a sustained slowdown for
18:59
some time that happened in fact right
19:01
and in fact it was something that was desired by Chinese
19:03
policymakers because they thought it was a problem you
19:05
know that there was unbalanced and uneven growth before
19:08
that so yeah they see some things now if
19:10
you like oh man then you can
19:12
it gives you a sense of who's sort of a tourist here but
19:15
I also agree that I'm Elise
19:17
Hugh and I'm Josh Klein and we're
19:20
the hosts of Built for Change a podcast
19:22
from Accenture
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19:37
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subscribe to Built for Change wherever you
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19:47
I think it's certainly plausible that
19:49
in terms of relative position that the Chinese
19:52
economy may have reached sort of its zenith
19:54
relative to say like the United States but I think a lot
19:57
of that is going to be based on
20:00
demographic outlook of the
20:03
number of Chinese working age, in
20:05
particular the number of Chinese
20:07
in sort of their 40 to 49
20:09
age cohort, which people have found
20:11
repeatedly that's where like most of the productivity comes
20:13
from. So you know congratulations everyone in their 40s you're
20:15
supposed to be contributing your maximum out to there. So anyhow
20:18
that population has been shrinking a lot
20:20
in China already. I mean that peaked in 2013
20:24
and it's set to fall like you know I
20:26
think that the people specifically in their 40s
20:28
I believe if I'm ever correctly looking at the
20:30
last UN world population prospects is projected
20:33
to fall something like two-thirds between now and
20:35
the end of the century. And so even
20:37
though the Chinese population as a whole is supposed to
20:39
be much more stable because essentially a lot of people are going to be aging.
20:42
And so if you look at that it's very difficult to say
20:44
okay this is I mean clearly you can have productivity
20:46
gains offset some of that that's the promise of automation
20:49
and so forth but we've never seen
20:51
anything like this before. I think it's going to be very
20:53
challenging society-wide. Now
20:56
the living standards of any individual person
20:58
in China might still continue to rise. That's
21:01
certainly possible but if you're thinking about like relative
21:03
power from sort of geo-economic sense
21:05
or whatever that's going to be I think a big headwind.
21:08
The demographic side of course on the productivity
21:11
side it's also not clear how much productivity increases
21:13
we've actually had in China. I mean there's there's
21:15
issues of how you measure productivity how much of its attributable
21:18
to capital deepening or what-have-you but there
21:20
are some estimates that claim that total
21:23
factor productivity would essentially you you net
21:25
out improvements in education and growth
21:28
in the capital stock. That's actually been essentially flat
21:31
since like 2007. I don't know if that's
21:33
right. There are at least some credible
21:35
estimates making that argument. The pen world
21:37
tables.
21:40
Yeah that's one I mean there's another there's some other yeah I
21:42
mean basically if you you look at this stuff
21:45
you say okay well I mean that's that's gonna
21:47
be another huge headwind. I mean you can't really have a
21:49
lot of growth going forward if you don't have literally
21:52
no productivity growth there. So I
21:54
don't I
21:54
mean that would be sort of the big challenge
21:57
you know
21:58
Jordan when you sent around before we start. a list
22:00
of topics I was looking through. I remember
22:02
I'd written about this and I found a column from Barrens
22:04
I'd written in early 2020 making this precise
22:07
point about, well, maybe this
22:09
will be sort of close to the top, I mean,
22:11
or like 2040 or something. Who knows, right?
22:13
But it's certainly plausible from
22:16
that perspective that, you know, peak China,
22:18
although I'm sort of reticent to use that
22:21
term because of what it
22:22
sounds like. It's
22:23
going to be all downhill from there or whatever. But I think that thinking
22:25
about what the future is going to hold. You
22:27
know,
22:28
there are a lot of situations in the past where
22:30
you have a period of rapid growth and people say, oh,
22:33
it's going to go on forever. And then it doesn't.
22:35
Right. I mean, you think about when Khrushchev made
22:37
his We Will Bury Your Speech in 56
22:40
and you look at what happened after that. And, you know,
22:42
if you, there are a lot of ways of measuring this
22:44
and their disputes about whether these measurements are
22:47
accurate, but you look at the,
22:48
the Madison database of, of GDP
22:50
per capita across countries. And
22:53
for the Soviet Union as a share of the United
22:55
States, you saw a huge convergence right after
22:57
that actually. So it looked like he was right. It's like, oh, well, there's
22:59
massive convergence. I mean, it's only like 20 percentage point
23:01
increase in
23:03
GDP per capita of the Soviet
23:05
Union relative to the United States, I mean, 56
23:08
in like the mid seventies. But then
23:10
it stopped and then eventually it went down a lot.
23:12
And so, and if you look at where we are now,
23:15
just for, for Russia, not for the Soviet Union as a whole,
23:17
you know, pre-Ukraine war,
23:20
it was basically in relative position
23:22
comparable to where we were in like 1910,
23:24
relative United States. So like that was, that
23:26
was the end of that.
23:28
China right now, I mean, starting from much lower
23:30
base, but seeing a pretty dramatic
23:33
convergence over the past couple decades. But
23:36
I mean, it could stop. I don't know. I mean, maybe it won't,
23:38
but I mean, I, the baseline assumption that,
23:40
oh, countries that are poor are naturally going to keep converging
23:43
and have, is it something that actually
23:45
you don't see very often? It's
23:47
happened a few times and it's noteworthy, but
23:49
it's not, shouldn't be the baseline assumption. So
23:51
to continue on this sort of Soviet Union analogy, like
23:53
just because like relative, you know, share
23:56
of global GDP may be peaked
23:58
in the 1950s for the Soviet Union. Union doesn't mean
24:01
that no
24:03
70s no so I was
24:05
saying he said the speech in 56 and then from
24:07
then until 70 maybe I wasn't clear but from then okay
24:09
okay gotcha catching up
24:11
until the late 70s right
24:13
gotcha okay and then they're catching up after the
24:15
late 70s and early 80s they basically the convergence
24:18
peaked basically
24:21
when they invaded Afghanistan it
24:23
was not necessarily related that
24:25
was
24:26
no no I think it all I mean later
24:29
but it's an interesting uh
24:30
right because so so the causation runs
24:33
the other way because when you're you know when you're feeling
24:35
your oath you know you're feeling your strength you're like well
24:37
I could I could let's let's take this
24:39
geopolitical power out for a spin baby
24:41
and see what we can conquer and dominate
24:44
and
24:44
in fact that little hole from 56 until
24:46
then right I mean the whole Brezhnev doctrine of oh yeah
24:48
we're gonna go in all these other countries and do stuff and it
24:50
seemed yeah exactly and then it peaks and
24:52
then they stop so I
24:55
think that is very much when they stop which
24:57
you know how the Union's peak came quick
25:00
the thing is that people I think that
25:02
we expect these peaks to be
25:04
to be over quick because the the USSR
25:07
and Japan shortly after
25:09
they peaked it was only about a decade after
25:12
they peaked that we started to say okay this is a country
25:14
in decline
25:15
relative decline
25:17
but
25:18
I think that's a mistake because if
25:20
you go back and look at other powers I
25:22
mean the United States
25:24
lasted at its peak for arguably
25:26
a century before it went into decline
25:30
and then I think that you know Germany
25:32
lasted for half a century and and
25:35
you know then you can even go back earlier to that you
25:37
look at Britain I would say Britain lasted arguably
25:39
a century
25:40
and so so these peaks can last a long
25:43
time the the USSR and Japan
25:45
were kind of special cases I
25:47
think
25:48
Japan may be a little more relevant
25:50
in the Soviet Union in fact we should talk about Japanification
25:52
a little bit Jordan Soviet Unionification
25:55
which does Sovietification which doesn't make
25:58
us as handy a term as
25:59
not as cute.
26:01
But I think that the
26:03
main analogy there is that capital deepening
26:05
will only get you so far. And I
26:07
would like to mention that
26:09
all of the
26:12
capital that you've seen China
26:14
build, all of those just infinite miles
26:16
of high-speed train, infinite forests of apartment
26:19
towers, giant gleaming
26:22
new factories with robots and stuff like that, that
26:24
will depreciate.
26:26
What people don't understand is that capital
26:28
depreciation really sets in after what, 20
26:31
years? Physical
26:33
depreciation. You can amortize your depreciation
26:35
anytime that the government allows you to. But that's just
26:38
a financial trick. The actual physical
26:40
depreciation of capital in terms of infrastructure,
26:43
machinery, and structures happens
26:45
after about 20 years. Stuff starts to get
26:48
really worn out. It depends on how well you build in the first place
26:50
too, right? How well you build it. Japan
26:53
built their stuff very, very well. China
26:56
did not. China
26:58
is
26:59
like the United States in that they
27:01
build quick, shitty, and cheap. As
27:04
an aside, I've often argued that China is the country
27:07
that is most similar to the United States in the entire
27:09
world. And that basically people think
27:12
that there are these two alien civilizations,
27:14
there's a clash of civilizations. No, it's
27:17
a similar country. Everyone's just wearing khaki
27:19
shorts and a t-shirt and crocs and
27:21
going to the mall and driving to the mall
27:24
and watching Fox
27:26
News or whatever and saying, like, my country's great
27:29
because it's big and then dreaming big unrealistic
27:31
dreams of getting rich. No, China
27:33
and America are the same except in China the Republicans
27:36
always win. But anyway, stop playing
27:38
video games. Stop being gay on
27:41
TV. No, stop being
27:47
gay. Be manly. No, welfare is bad.
27:52
What are your other analogies Noah?
27:55
I have a little sidetrack
27:58
rant here.
27:59
impression of China is it?
28:02
But okay, so Japanification,
28:06
the thing is that most of our narratives about what
28:08
happened to Japan in the 80s and 90s are incredibly
28:11
exaggerated and some
28:13
to the point of being wrong. So Japan
28:15
was this export powerhouse. No,
28:18
it had a
28:19
trade surplus for financial
28:21
reasons.
28:22
Its exports as a percent of GDP
28:24
were always quite low.
28:26
Which is like China as it's been since about
28:28
the past 15 years. Yes, in the 2000s
28:31
China was an export powerhouse. Then after 2008
28:33
China's like, no actually we're
28:35
just going to build a bunch of housing and infrastructure instead,
28:38
and which they did, and so they shifted from being
28:40
an export powerhouse to be, you know, their
28:42
exports as a percent of GDP are not that low. It's like 20%
28:44
maybe? I think it's like 15. It might have gone up recently.
28:50
Also the pandemic has changed things
28:52
a little bit, but yeah it's been in sort of 15-20% range,
28:54
which is pretty low. That's getting
28:56
down toward Japan range, which is not that
28:58
open an economy. Most of your like, you know,
29:01
India is higher than that.
29:02
And so exports as a percent of GDP are not
29:04
that high. It's not an export powerhouse, but Japan
29:06
was never an export powerhouse really. Japan never
29:09
had a high rate of exports to GDP as
29:11
long as we've been keeping track of that. Japan's
29:13
exports to GDP is the highest
29:16
now that it's been since we started keeping track of it. And
29:19
so, you know, we just they
29:21
had a trade surplus, but that's net not total.
29:23
And so, you
29:27
know, what happened with Japan, there was
29:29
a shift
29:29
toward real estate,
29:32
but it was much less
29:34
in terms of real estate construction, which has already always
29:36
been pretty robust in Japan and remained robust.
29:38
It was toward real estate finance,
29:41
which was somewhat like China,
29:43
but China did that a lot more. If you look at real
29:45
estate and related industries as a percent of GDP,
29:48
Japan's peaked in the teens.
29:50
China's peaked at like almost 30% of GDP,
29:52
you know, more than twice.
29:55
So there's just China in that
29:57
sense is more Japanified than Japan
29:59
ever.
29:59
was.
30:02
In
30:05
terms of this real
30:07
estate crash,
30:10
Japan had a real estate crash, Japan had a stock
30:12
crash. A lot of this was related to the way
30:14
that corporations find that stuff in
30:16
Japan.
30:18
Now I've just thought of a new thought,
30:20
which is approximately
30:22
sort of truthy, which is that
30:25
China's burst now is more
30:27
like
30:28
a double version of
30:31
America's bust in the 2000s than it
30:35
is like Japan's bust. Because Japan's bust was fundamentally
30:37
a corporate bust. It was corporations
30:40
were using real estate as collateral
30:43
to borrow to do industrial expansion
30:45
for things that they were mostly selling in Japan.
30:48
That was a process that couldn't continue and was
30:51
continued too long by a bunch
30:53
of weird financial practices that Japan had, such as
30:56
cross-shareholding, evergreening of
30:58
loans, blah, blah, blah, blah, blah. Japan's
31:01
story was always a lot more
31:03
subtle and complex than people thought. China's
31:06
story is much more similar to our
31:09
typical story of Japan. You had this country
31:11
where just overbuilt or just had
31:16
a massive real estate bubble from just normal
31:19
people bidding up the prices of housing. Are
31:22
you okay, Jordan? Oh,
31:24
jet lag. Yeah, keep going. Oh, jet lag. Okay. Yeah, so you had
31:26
a banking system sort of failure in
31:29
China. In Japan,
31:39
you
31:43
had a lot more complex stuff going on.
31:45
China fits the Japan story much more cleanly
31:48
than Japan did.
31:49
So I completely agree that
31:52
there are a lot of differences between China and Japan. And
31:54
I think that Noah, you did a very good
31:56
job explaining what actually happened with Japan, which is different
31:58
from I think a lot of the common areas. I do think actually if
32:00
you zoom out though, there are actually some interesting similarities because
32:03
if we think about why was it that so much of
32:05
growth
32:06
in Japan in
32:08
the 70s and 80s was
32:10
coming from this kind of corporate investment
32:12
funded by borrowing, so much of the growth in China
32:14
similarly is coming from the
32:16
construction and investment of things
32:19
as opposed to household consumption financed by different
32:21
kinds of borrowing.
32:22
I think there are actually some similarities.
32:24
I think there's some very important differences. In Japan, it was
32:27
basically a democracy that was not repressive.
32:29
You didn't have
32:30
a lot of wholesale going policy deliberately
32:32
trying to squeeze consumers,
32:34
but you did have a situation.
32:38
There is a similarity, particularly the banking system is structured
32:40
of essentially saying, okay, households
32:42
are going to put money in the banking system. They're not
32:44
going to get a good return, and then you're
32:46
going to use that to create some kind of surplus. It
32:48
tends to transfer wealth and purchasing power
32:51
from households to end users elsewhere,
32:53
whether it's local governments or businesses or what have you. That
32:56
actually is a kind of a similarity there
32:58
in terms of how that played out. Then the
33:00
thing is, you make these investments. In
33:03
either case, those investments are going to be worthwhile
33:06
if you actually have some end consumption down the line
33:08
to justify it. In both cases,
33:10
you have a situation where
33:11
the system that was so
33:13
good at financing and encouraging that investment
33:16
perversely made that it more
33:18
challenging for those investments to end up turning out to be
33:21
worthwhile because you didn't have
33:23
the consumer spending later on.
33:26
I think that's important. Well, so Japan never
33:28
really had financial oppression in that sense.
33:31
In China, everyone saves
33:33
their money in real estate. In Japan, everyone saved their
33:35
money in bonds, and that was mostly government bonds.
33:37
The
33:39
stock market was always fine.
33:41
It was never a joke, like in China,
33:43
it was always fine. The reason
33:46
people saved most of their money in bonds
33:48
had to do with the fact that Japan has a system where they
33:50
demolished real estate so it doesn't appreciate, so people put their
33:52
money in bonds instead,
33:54
mostly government bonds. It was never financial
33:56
oppression. The government never did anything to
33:58
make this happen. It was just sort
34:01
of the way things shook out, given
34:03
Japan's real estate policies, you couldn't save
34:06
your money in real estate.
34:07
Maybe I'm curious to your sense. My
34:09
understanding is that in prior
34:12
period, particularly when Japan was going relatively rapidly,
34:14
that the interest rates that you'd get
34:16
on a bank deposit, which was a relatively popular
34:19
form of saving
34:20
for households, were
34:22
unusually low. That
34:24
also led to ... That created a wedge
34:27
so that banks could lend relatively
34:29
low interest rates relative to growth
34:32
rates. I'm talking about pre- ...
34:34
That's correct. That's right, but it wasn't because
34:36
the government made you save in a bank.
34:39
It was because the government
34:42
would knock down your house every 20
34:44
years and build a new house in its place
34:47
to improve earthquake safety technology,
34:50
and also possibly to give money to construction companies.
34:53
The point is that real
34:55
estate was always a consumer durable, more
34:57
like a car in Japan. The
34:59
stock market has always been a relatively small
35:02
piece of savings for anyone, and the stock
35:04
market was fine in Japan. They had a stock
35:06
bubble too at the same time. The
35:09
reason Japan had a real estate and land bubble
35:11
was because of
35:14
the corporate stuff that we talked about before,
35:16
they never ... The
35:19
bank deposits were, or
35:22
let's say bond rates in general, just
35:24
anything with a fixed interest rate,
35:26
had low interest rates primarily
35:29
because
35:30
you couldn't save your money in real estate,
35:32
so everyone piled into bonds. Bonds
35:34
didn't have to raise interest rates to attract
35:37
capital, to attract savings. It was
35:39
much more the natural outcome
35:42
of a place that builds a lot of housing.
35:45
If you have massive expansion of housing
35:47
supply such
35:50
that you can't save your money in real estate, people will go
35:52
save their money in bonds, which drives down interest rates.
35:54
That's really what happened with Japan, but there
35:58
was also some other stuff.
35:59
like home bias, like people that
36:02
the famous carry trade wasn't really nearly as big
36:04
as people think, and so people wouldn't like save their
36:06
money overseas, and actually then they started
36:08
to, which resulted in some weird stuff in the 80s. But let's
36:11
not get too stuck on Japan. Let's go
36:13
back to the question of China.
36:16
China fits this story
36:18
pretty well with the financial repression.
36:21
They really pushed people
36:24
toward real estate by making you get a crappy
36:26
return on bonds. They
36:27
were like, you're not going to get a good return on your bonds on your bank
36:29
account, so where are you going to put your money? And the
36:32
stock market is a joke. So where are you going to put your money? Real
36:35
estate. And so China did that,
36:37
whereas
36:39
Japan almost did the opposite in that it was like,
36:41
well, you're not going to be able to save money in
36:43
your real estate because we're going to knock it down every 20
36:45
years.
36:46
So in China, people
36:48
were forced into saving in real estate, and
36:50
they saved all their money in real estate. Whereas
36:53
in Japan, people
36:54
couldn't save their money in real estate, so they saved all
36:56
their money in bonds.
36:58
I would just add one more thing about China's relevant
37:00
here, which is that the way local governments' finance
37:02
operations is very much by taking land
37:05
and seizing land in various ways and selling
37:07
it to developers. That's a large
37:10
chunk of their operating revenues
37:12
historically. And so that also creates a big incentive
37:14
for creating this real estate. And of
37:16
course, they're not very squeaky. Local governments
37:19
are generally in China what provide
37:21
most public services. There are people who
37:23
pay for most of the infrastructure investment, and
37:26
they're getting very squeezed by the situation
37:29
here with real estate. So the linkage there
37:31
is very important in explaining
37:35
how they ended up in this situation
37:38
as well. For
37:40
several decades, they've had a very strong incentive for
37:43
boosting the real estate industry for their
37:45
own, essentially, fiscal policy. Real
37:48
estate just did so much for the Chinese economy.
37:50
It was the main way everybody saved their money.
37:52
It was the way that local governments financed
37:55
everything. And it was the
37:57
way that the central government did fiscal stimulus
37:59
whenever there was a threat to the economy. They're basically,
38:02
and it was like the source of jobs and employment
38:04
for everybody, but basically there were
38:06
three weird ways in which real estate was special
38:09
to the Chinese economy in ways that it wasn't special to
38:11
other economies necessarily. And those things
38:13
all combined, and that's why I always tell everyone real
38:15
estate is what, real estate is not the only
38:17
threat. It's
38:18
not the only thing that slowed China's growth. It's
38:20
not the only threat facing China now, but
38:23
it is the reason for this slowdown. This is a real
38:25
estate driven slowdown. Would you
38:27
agree with that?
38:28
Yeah, I think if we're looking at what's happened immediately
38:31
in the past few years, there's a poll, yeah, basically
38:33
starting in 2021, the Chinese government said
38:35
we're gonna crack down real estate, and then they have, and that's
38:37
led to a lot of other things. So in that sense, yes. I
38:39
think also though, zooming out
38:42
why real estate is so important to the Chinese
38:44
economy is reflective, it's essentially
38:46
a symptom of these sort of other issues that
38:48
we're talking about in terms of if you don't have
38:51
a consumer sector, if you don't have, you know,
38:53
you have to have, there are only so many ways to generate GDP
38:56
growth, which is the target and employ people. So if you kind of
38:58
rule a lot of those other ones out, you're left with
39:00
this.
39:01
So I think that's like the other sort
39:03
of deeper reason for why they're in this situation. But yeah,
39:05
if we're looking at just like what the past couple years, and yes, I mean
39:07
you can just very see it. And I would say arguably since 2008, this
39:09
has been building
39:13
since 2008.
39:15
So there's a policy even longer.
39:17
Let's turn to industrial policy now. So
39:20
I've done a lot of other shows on China talk about sort
39:22
of what have been the reasons that
39:25
the Chinese electric vehicle and semiconductor
39:27
industry have been so successful. I'm curious,
39:29
you know, for your perspective on like, to
39:32
what extent this is something that
39:34
Western policymakers should be
39:37
stressed out about. And
39:41
you know, how, you know, like,
39:43
if is it, you know, from your perspective
39:47
is like a world beating Chinese
39:49
electric vehicle industry or a world beating,
39:52
you know, leading edge fab
39:54
capability in China, something
39:56
that the US needs to stop not just
39:58
for you know, sort
40:01
of amorphous military reasons,
40:03
which is what BIS says when they do the semi-character
40:06
export controls, but also from a sort of like long-term,
40:09
I don't know, like economic sort
40:12
of growth trajectory perspective.
40:17
I don't think we need to be worried from that. When thinking about this sort
40:19
of like relative balance of economic
40:22
weight into the medium term.
40:25
I don't think we need to be worried about the long-term, economic
40:29
industrial competitiveness piece of this at
40:31
all.
40:31
I think that people are going to worry
40:33
a lot about that, especially in Europe. I
40:36
think that there is a gigantic
40:38
freak out in Europe about Chinese
40:41
electric vehicles out-competing, Volkswagen
40:43
out-competing the German car industry.
40:45
That's a thing that's going to happen because,
40:48
but I think that
40:50
in terms of cars,
40:52
ultimately the world tends toward an
40:54
equilibrium where most cars are made where they
40:56
are sold, because cars are very heavy relative
40:58
to the amount of price they command. The
41:01
amount of economic value that you ship
41:04
in a car per kilogram
41:06
of weight is much, much, much, much
41:08
lower than for say processors,
41:11
right? A processor can
41:14
give you, a little box of processors
41:16
can give you more economic value than a car, and it's something
41:18
like this, whereas a car, I can't lift, right? And
41:20
so it should work out more. But
41:22
then, but a
41:25
car is, is
41:28
heavy,
41:29
and a battery is very heavy, and
41:31
ultimately it will not, and
41:33
most cars are made where they are sold.
41:36
And we look at these graphs of China's exports
41:39
dominating the world, but we don't, but
41:41
then you look at exports as a percent of total consumption,
41:43
and it's not that big. And so ultimately
41:46
it will take only a small amount of Germany
41:49
supporting Volkswagen and Volkswagen making some management
41:51
changes, and whatever they need to do, it's going to take
41:53
only a little bit of that to take the car
41:55
industry back from China, because
41:58
if you look at the history of America, Japan, you
42:01
know, in the 80s people were freaking out, oh my god, everyone drives
42:03
a Japanese car, blah blah blah. Fast forward just
42:05
a couple years and Japanese cars are the most
42:07
American of any car. Like
42:10
Toyota and Honda and Nissan have more
42:12
American made stuff in them than
42:14
GM and Ford by quite a bit
42:17
because most cars are heavy
42:19
and most cars are made where they are sold
42:22
no matter who owns the IP and like, you know,
42:24
puts their brand on it. And
42:27
so in terms of like having a car industry
42:30
it's ultimately more about like branding and IP
42:32
than about where the cars are actually made. They're going to be
42:34
made close to where they're sold. The semiconductor
42:36
industry is a very different animal because semiconductors
42:39
are very light, very easy to ship, very easy to
42:41
supply chain, tons of value
42:43
in that little box of processors. And so that
42:45
I think semiconductor industry is
42:47
the industry where and they're also much
42:50
more I think militarily relevant at this point
42:54
although maybe Matt will correct me. But I
42:56
think that semiconductors are going to be the main sort
42:59
of arena for competition between, you
43:01
know, overall with the car thing
43:03
being like a little bit of sideshow with like Europe
43:06
worrying about too many
43:07
electric car imports.
43:09
Yeah on cars I think one thing that's also worth
43:11
noting is that at least as
43:13
of now the growth in Chinese
43:16
car exports is entirely
43:18
been a function of the fact that Chinese production
43:20
of cars has been flat
43:23
over the past two years and Chinese domestic
43:25
demand for cars has gone down. It's
43:28
not actually a situation where
43:30
cars. It's not like they've suddenly
43:32
increased their total production of motor vehicles.
43:35
I mean maybe that will change in the years ahead I don't
43:37
know but like as of you know July August
43:39
of this year that's that's what the numbers are showing. And
43:41
so that's also some perspective here in terms
43:43
of you know how this is playing out right
43:46
if you just you built all this capacity
43:48
to make cars you can sell them a lot more
43:50
cheaply because you know your labor costs are lower etc.
43:53
And then you just squeeze your domestic
43:55
market you have an x-ray okay fine we'll send them abroad
43:57
but why not right I mean like that's going to be super cheap.
44:00
At the price point, like a BYD electric
44:04
vehicle is like what, like 10 grand or something, I think, right?
44:06
If you can... I mean, that's obviously going to just
44:08
outcompete a Volkswagen no matter, in any circumstance, right?
44:11
So it doesn't take a lot. I mean, most of those exports are not going
44:14
to Europe. They're basically none of them are going to the
44:16
US. They're going to third markets. But still, like,
44:18
I mean, that's sort of the thing there. I mean,
44:20
historically, the military application of
44:22
having a car industry is that you could have
44:24
those factories make tanks. I don't know how relevant or
44:27
helpful that's going to be going forward or that
44:29
how much people should think about that as a point of concern.
44:31
I don't know. But like, if we're thinking about like the
44:34
growth of the Chinese auto industry, I mean, it's been
44:36
growing for a while. But essentially, if you look at the production
44:38
numbers, it's been sort of flat since 2018. So
44:40
I mean,
44:42
and quite frankly, like, we
44:44
need globally more electric vehicle
44:46
manufacturing capacity because if you want to turn over
44:49
the existing fleet of motor vehicles globally
44:51
from what it is now, which is overwhelmingly
44:53
internal combustion engine towards mostly
44:55
battery electric vehicles, you're going to need to have way more
44:58
production than we
44:59
have now. Most new production as a share
45:01
of the existing fleet is pretty small, right? Just
45:03
for anything. So if you want to turn over the whole fleet like this. So the
45:05
fact that
45:06
you're having more production is not so bad. I mean,
45:08
I think it's
45:09
if you're a policymaker in a country that's
45:11
not China, you want to make sure that
45:13
you maintain your own domestic production because there's good
45:15
things for that. But I mean, the fact that China
45:17
is producing more is not inherently a problem. I mean,
45:19
I also don't think it's inherently a problem that, you
45:22
know, China is producing or maybe
45:24
producing, you know,
45:26
functional, you know, commercial aviation.
45:29
I mean, you know, the idea that you have a Boeing
45:31
Airbus duopoly, it's not obvious
45:33
why that's inherently good for the world. I mean, I think it's
45:35
good for, you know, the US to have
45:38
the ability to manufacture airplanes and
45:40
have that supply chain and everything in the US. But I
45:42
also don't think that there's any reason why you would want to
45:44
have less production in total or less competition.
45:47
So I think that we can have this from a positive
45:49
view of this. And if it takes industrial
45:52
policy and China's part to get there or
45:54
for that matter our part to prevent that, you know,
45:56
the destruction of what currently exists,
45:59
then that's fine.
45:59
look at semis too. The
46:01
semiconductor industry is
46:04
perhaps more than any other industry, one that wherever
46:07
it exists requires extreme levels
46:09
of government subsidies. People say, oh, there's
46:11
comparative advantage of building semis in Taiwan. It's like, okay,
46:13
well, Taiwan is basically a
46:15
jungle island with no industry whatsoever 100 years
46:17
ago. I don't know why we talked about comparative advantage of
46:19
building the most high tech components ever. They
46:21
just made a lot of effort to make it happen. You change your comparative
46:23
advantage.
46:24
You can see that in all sorts of things.
46:27
If you want to have a semiconductor
46:29
industry in your country, for some reason,
46:32
apparently, it requires lots of subsidies. Dirty
46:34
little secret. Half the time when people claim a comparative
46:36
advantage underneath it is a racial stereotype.
46:41
Yeah, maybe. There's a full quote. There's
46:43
a full quote. I'm just downstream of government policy
46:46
from 150 years ago, I think is
46:48
the ... Well, I mean, in reality,
46:50
government policy matters a lot, but in people's
46:52
minds, Taiwanese people,
46:55
and by extension, Chinese people
46:57
are able to comprehend how semiconductors work in a
46:59
way that just dumb
47:00
people in Arizona are not.
47:02
For some reason, I guess they think Japanese people aren't.
47:05
But it's dumb that people think this
47:07
way. People think like, oh yeah, those
47:09
Taiwanese are just really, really good at chips.
47:13
Yes, but it's a learned skill.
47:16
The reason the incentive for learning was there was because
47:18
of government policy. It's not like Taiwanese people
47:20
are born knowing how to do
47:22
semiconductor engineering. Talk
47:25
about 2024. I don't think I've talked about
47:28
it.
47:28
That's next year. Is
47:31
it though? Holy shit. That's
47:33
next year, 2024. I mean, or if you want to be,
47:37
it's two and a half months, right? It's almost upon us. I can remember
47:39
in 2024 was Cyberpunk future.
47:44
And you know what? Honestly, the present
47:46
feels like that Cyberpunk future that I imagined
47:49
for 2024 when I was like a kid in the 90s. With
47:52
geriatric presidents, I'm ruling
47:54
over a solve. Blade
47:57
Runner was set in 2019, right? I mean, wasn't that ... Yeah.
48:00
So it's on fire, you know like
48:03
how much does a
48:06
Trump
48:06
Presidency change any
48:09
of the sort of like relative
48:12
national power global influence Economic
48:15
growth trend lines that we've been talking about
48:17
for the past 45 minutes.
48:18
Matt you take that. Uh-huh
48:20
I feel like that's a noah question.
48:23
Yeah. Oh, that's an that's a me question Oh,
48:25
I'm more like what do you write about? So I guess I
48:27
mean The
48:30
answer is who knows because Trump is a chaos agent
48:32
who knows what it'll do
48:34
We don't know that then a next Trump presidency would
48:36
be like the last Trump presidency what we saw
48:38
in the last Trump presidency was Essentially
48:41
two things Trump would start culture war fights and
48:43
Trump would
48:44
vaguely direct economic policy in the direction
48:46
of things that like people yelled about in
48:48
the early 90s when Trump was at his peak of
48:50
you
48:51
know, wealth and influence and
48:52
And so Trump was very much stuck
48:55
in the early 90s. So Trump tried to start a trade war with Japan
48:58
Like you know, so
49:00
Which hasn't been a competitive
49:03
threat for like that Like Trump is
49:05
dumb and and so he took all these things that he
49:07
saw in the early 90s and he he got Robert
49:09
Leithizer To go, you know make some tariffs and
49:11
like yell at some of these countries And so and
49:14
and then in the background we had the security
49:16
state building the foundation for the Biden policies
49:19
Which we so for export controls that
49:22
that was come up. It was the security state that came
49:24
up with that, you know Especially
49:27
deemed exports that's like that's actually the big one
49:29
that we never talked about and And
49:32
it was or or Sipius investment restrictions.
49:34
That was all the security state
49:36
that came up with that
49:38
So while Trump was like reeling into the deep state or
49:40
whatever that it was the security services that were actually
49:42
making China policy or at least the parts
49:44
of it that would really endure and have an impact
49:48
And the military, you know, the military was was thinking
49:50
about this They were very much thinking about the balance
49:52
of technology between the United States and China And
49:54
so we could see that again also the military
49:56
ran Operation Warp Speed, which is why it worked but
49:59
We could see that again.
50:02
Or we could see Trump
50:04
being completely controlled by
50:07
foreign, you know, by like the, the,
50:09
the access powers here, Russia and China. And
50:11
we could see, you know,
50:14
Trump basically intentionally trying to sabotage
50:16
any attempts to compete with China. Uh,
50:19
you know, or, or, you know, sabotage, like remove
50:22
export controls, blah, blah, blah. Claiming he'd made
50:24
a deal with Xi Jinping or like, you know,
50:26
just some, whatever bullshit because someone
50:28
is slipping him this idea from within his administration
50:31
and you know, he's, he's a geriatric president as
50:33
well. So he's, you know, going to be let
50:35
probably weaker, I would say, uh, in
50:38
a second term and more susceptible
50:40
to people like whispering in his ear, like ideas
50:42
to do, he was somewhat susceptible to that
50:44
his first time, but more this time. Um,
50:46
so my guess would be that some,
50:49
that, that China and Russia are going to get their guys in
50:51
there and have him drop export controls and have him basically
50:53
drop attempts to economically or to,
50:56
to militarily slash economically
50:58
compete with China, um, despite
51:01
the fact that he ran on like an aggressive anti-China
51:03
platform in 2016, I think he'll pivot.
51:06
I think that, uh, guys will whisper
51:08
in his ear to like drop all this stuff. That's
51:11
my guess, but who knows he's a chaos agent.
51:13
So it's fundamentally an unknown quantity. It's, it's, you
51:15
know, sort of a role that I.
51:17
Yeah. I would say based on what we saw from the last
51:20
time that he was in office and
51:22
what he said in the past few years, I mean,
51:24
one thing that I think is interesting is that on China,
51:27
despite rhetoric that was very
51:30
hostile, he did repeatedly say he was
51:32
friends with Xi Jinping. He mostly blamed his
51:34
predecessors rather than anything the Chinese government had done.
51:37
Um, he was made, it went out of his way to basically
51:40
give China carte blanche to do what
51:42
the Chinese government wanted to do in Tibet and Hong
51:44
Kong and, and in, uh, the Uyghur,
51:47
um, parts of the country. So
51:49
the idea that Trump is tough on China
51:52
is, you know, that people sort
51:54
of falling, falling for a certain set of rhetoric rather
51:56
than actual policy, um, things
51:59
that occurred. And so. I would be sort of wary
52:01
of that. I
52:04
think on a very different way, but also
52:06
relevant is that, oh, yeah.
52:08
Well, let's just stay on that for a second because I think personnel
52:10
is going to be really interesting and
52:13
weird in a Trump 2024
52:16
because I have no idea
52:19
who is left, who is going to take
52:21
the Assistant Secretary of State for East
52:23
Asia or National Security Advisor,
52:26
Secretary of Defense. I mean, you know, Matt Pottinger,
52:28
right? Like he quit on
52:30
January 7th. And
52:33
you can get him on the show, by the way. It
52:36
works. So
52:40
it's a weird dynamic where
52:44
I think Noah,
52:46
the sort of like authoritarian
52:49
curious thing, was
52:52
obviously very aggressively
52:56
resisted by the deep state. But
52:58
if he decides to fire the entire
53:01
federal government and the folks he hires
53:03
to lead these shelled out agencies
53:05
are just like, I don't know,
53:08
wing nuts. It's
53:11
really uncertain. You
53:14
could bring in folks who want to start World War III with China. You
53:16
could bring in folks who couldn't
53:19
care less about anything
53:21
revolving like America's role
53:24
in East Asia. So it's a
53:26
very open, I think, for me, exactly how
53:28
this might go. The other thing I think that relates
53:30
to this, and it looks like it's the other side of the world,
53:32
but to the extent that I think presumably
53:36
not just Trump, but probably many of the Republicans
53:38
are currently running would be relatively
53:41
pro-Russian and want
53:43
to pull back any kind of support there.
53:45
I mean, you've figured that one of the main foreign
53:48
policy accomplishments of the Biden administration has been
53:50
getting Europe and the US, the
53:52
G7 extended basically all on the same
53:55
page. That would be undone
53:58
probably, and that would have a lot of consequences. differences
54:01
for a lot of things, including for the US relationship
54:03
with China. And more important is the US ability
54:06
to, and the ability of the democracies in
54:08
general to actually project
54:10
power. Because you talk about
54:12
the US being relatively declined to global
54:14
GDP or whatever. If you think about the US
54:17
as the leader, the
54:20
first among equals of a large coalition of like-minded
54:23
countries,
54:24
that
54:24
group as a whole is overwhelmingly
54:27
powerful compared to any other potential
54:29
grouping in the rest of the world. But that only works if all
54:31
those countries are basically willing to coordinate and be
54:33
on the same page. But if you don't have
54:35
that, which seems like a highly likely possibility,
54:38
then you open up a lot of potential
54:41
problems. And that is, I think, another
54:43
thing to be concerned about above and beyond all the points
54:45
that you know, Noah mentioned.
54:48
Noah, like how do you do what you do?
54:53
I don't know, man. Sorry, I'll be more specific. So
54:55
Noah, like, you know, Matt and I,
54:57
like, I write like one thing a week. Matt
54:59
writes like, you know, one and a half things a week. You're
55:03
cranking out like very high quality content,
55:05
not all of which I agree with, but like, like
55:07
very cogent takes and explainers,
55:09
you know, three,
55:12
four, sometimes five times a week, if you're like really
55:14
going at it. Like, talk
55:16
me through your process methodology.
55:18
Like, how can how can the rest of the world learn from
55:21
the the Noah Smith production function
55:23
when it comes to explaining things about
55:26
Asia and the economy and US politics and
55:28
God knows whatever else you write about and
55:30
his urban design? I
55:32
don't I don't make my own graph. And
55:35
Matt makes his own graphs. So basically
55:38
that, you know, that takes a whole lot of time. But
55:40
but I will say Matt's graphs are amazing.
55:42
And and you should definitely read
55:44
his blog,
55:45
even just for the graph, you know, it's great
55:48
in general and you should read it. The
55:51
answer is that I don't
55:52
know if you just don't have anything
55:54
else to do with your time, then maybe you spend
55:57
all your time just reading about various, you
55:59
know, I'm
55:59
million different topics and then get a topic
56:04
and so I think a lot of it is the fact that you know I
56:06
just I don't have kids I don't
56:08
have anything else to do and so
56:10
I'm just like reading this stuff kind of obsessively
56:13
all day
56:14
but also I would
56:16
say that the
56:18
key to writing a lot is to get annoyed
56:20
a lot and to just be like okay this
56:23
is wrong this needs correcting this is wrong it's that
56:25
old comic of someone has said something wrong
56:27
on the internet that is my entire reason
56:29
for existence like that's why I do what I do it's not
56:31
for money it's not for love it's not to like
56:33
help the world roll a lot it's because someone has said
56:35
something wrong and they must be corrected now I'm
56:38
half joking but that is like will it
56:40
a desire to
56:43
think by engaging with other points
56:45
of view is an important part of the motivation
56:47
and I feel like you know that opens
56:50
you up to being comfortable
56:53
I don't know I feel like Madden are
56:56
like Matt the threshold that Matt and I
56:58
have for like having an opinion on something
57:00
and like the degree of I don't know I don't
57:03
think degree of confidence yeah like maybe
57:05
you're just like more confident and comfortable
57:07
having takes on stuff but I feel like I really need
57:09
to like build myself up and like like I
57:12
like myself to be like I'm gonna have an opinion and
57:14
put it online but this must be just innate
57:16
or can I like grow this in myself
57:18
like is there a cultivation routine
57:20
that I should you know engage in to
57:23
like be more comfortable like having cakes
57:25
on things
57:26
well though so the joke which is
57:28
also the joke of the name of my blog no
57:30
opinion is that the vast
57:32
majority of things I just don't have
57:34
an opinion about and the thing is
57:36
that any anything that exists
57:38
that I have an opinion on you will have read my opinion
57:41
on because I write
57:43
about so many different topics right so
57:45
I have so so any opinion that
57:47
I have you will know I on all the
57:49
other stuff I don't write about it's not like I have some secret
57:51
opinion that I'm concealing I just you know
57:54
I just didn't have an opinion so so I write a hundred
57:56
percent of the opinions I have and then just
57:58
don't have opinions on most of the stuff And
58:00
then you know so like the key
58:02
is as soon as you have an opinion like write
58:05
it and write why you had it and I think
58:07
that You know not to segue too much, but
58:09
I think that takes care of the epistemic competence Idea
58:12
too and some bloggers try to say epistemic
58:14
confidence low epistemic confidence high You
58:17
know no one understands what that even means
58:19
much less believe that that's your actual level of epistemic
58:21
competence, right? Instead
58:23
so like Scott Alexander no one no one
58:26
you know It's a noble effort, but no one trusts
58:28
it and so instead what you have to
58:30
do is lead people through your thought process
58:33
Show them how you arrived at
58:35
your opinion that you have in your writing
58:37
And then they'll know when you're just going out on
58:39
a limb and tossing something out versus when there's
58:42
something you know a lot About because when there's something
58:44
you know a lot about you'll show them that you
58:46
know a lot about it Because you go through this
58:48
process of showing them how you arrive at this
58:50
opinion. That's my style of writing It's
58:53
like a it's like I'm it's a it's
58:55
an extended stream of consciousness style where I'm just telling
58:57
you like
58:58
you know I decided that that
59:00
the the new Huawei phone Didn't
59:03
doesn't mean that export controls are a failure and here's
59:05
how I got to that decision And then I just sort of
59:07
lay it out That's what I do in today's post
59:09
if you want to check that out But um but
59:12
then all my most of my posts are basically
59:14
like that And I think that that means that
59:16
I'm very efficient with the opinions. I do have
59:20
Um
59:21
that was that was cold
59:24
No, I don't
59:27
know I just like I
59:29
Don't know I feel like I have to I have to I There's
59:31
something in my writing where I feel like I have to hide that
59:34
and I have to be like oh no I mean me though my
59:36
perception of you is like that you're you're
59:38
just like The
59:40
but I think what I do is like a lot
59:42
of a lot of what I do is like I do like Or
59:45
I do like summaries of other things it's
59:47
like it's less like Jordan Schneider's view
59:49
of the situation
59:55
When I read you saying translating those
59:57
things are reporting those things I see
59:59
it
59:59
as Jordan Schneider's view, even if you don't see
1:00:02
it that way. So here I am
1:00:04
thinking that you're tossing out a million opinions a second,
1:00:06
and you don't think you've tossed out an opinion at all, you just think
1:00:08
you shared a link. I'm like, oh, Jordan Schneider
1:00:11
says this is right. You can choose Jordan Schneider
1:00:13
with a chairman rabbit, that's interesting. I
1:00:16
never eat chairman rabbit, it's too high, too high output,
1:00:20
but I approve of the rabbit. The rabbit is good.
1:00:22
But no, Jordan, everyone else thinks that you
1:00:24
are an opinion machine. They
1:00:27
already think you're doing it. Okay,
1:00:29
all right, well, I guess I'll keep going
1:00:32
on my merry way then. Yeah, you're
1:00:34
already doing it. I mean, like,
1:00:36
you know, your stuff sounds more
1:00:38
opinionated than Bill
1:00:40
Bishop.
1:00:41
You know, the very famous
1:00:43
well-known China pundit puts out a huge amount of
1:00:45
output. He feels like someone who's just
1:00:48
like
1:00:48
reporting the news,
1:00:50
whereas you feel somewhat
1:00:52
reporting the news, but a little more toward the opinion side
1:00:55
than him. So I'd say you're
1:00:57
already doing what I do. I wouldn't
1:00:59
necessarily ask how I do it because you do it. Okay.
1:01:02
Okay. Yeah. All
1:01:05
right. Anyway,
1:01:06
I think we'll call it there. Noah,
1:01:08
do you have a song to take us out on reflecting
1:01:11
your work
1:01:13
process?
1:01:15
Or the future of the Chinese economy?
1:01:18
The future of the Chinese economy? Or a Trump 20-thorn?
1:01:21
Or a second Trump term? What
1:01:23
do you think your pick for inspiration?
1:01:26
It's the end of the world
1:01:29
as we know it. I swear to
1:01:31
God, literally half of the guests I ask,
1:01:33
that's the song that they give me, which I think is
1:01:36
like, does that have to be the China talk theme?
1:01:38
It's too depressing. No, I can't,
1:01:40
because I can't sing the who's wolf totem
1:01:42
because I can't sing in Mongolian. That's the real
1:01:44
one. All right. That's
1:01:46
the song. Wolf totem by the who. Like, basically,
1:01:49
rough translation,
1:01:51
we're going to fuck you up.
1:01:59
I'm trying to talk. I'm
1:02:30
trying to talk.
1:03:00
I'm trying to talk. I'm
1:03:30
trying to talk. I
1:04:00
am the one who has the
1:04:02
most... ...the one who has the most...
1:04:06
...the one who has the most... ...the
1:05:00
one who has the most...
1:05:03
...the one who has the most... ...the
1:05:30
one who has the most... ...the one
1:05:32
who has the most... ...the one
1:05:34
who has the most... ...the one who has
1:05:36
the Hangover... ...the one who has
1:05:38
the most... ...the
1:05:40
one who has the best... ... eagle in the neck...
1:05:44
...gorilla, nigga, nigga, nigga, nigga, nigga... ...eghow .
1:05:48
...say I'm my lover? I'm
1:05:50
the one who
1:05:51
is the one who holds the worst... ...the
1:05:53
only man who raises the last... ...of all
1:05:55
but you and me to him... ...he significant portion
1:05:57
of all of you. The
1:06:04
the the
1:06:14
the the
1:06:20
the the
1:06:28
the the
1:06:36
the the
1:06:44
the the
1:06:56
the the the
1:07:03
the the
1:07:09
the the
1:07:18
the the
1:07:24
the the
1:07:32
the the
1:07:40
the the
1:07:49
the the the the
1:07:54
the the the
1:07:59
the the the
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