Contrary to a popular mainstream view, China's trade surplus has likely been overstated by hundreds of billions per year dating back more than a dozen years.
This 🧵 is a direct rebuttal against claims that the recent changes in BoP methodology are leading to systematic understatement of its trade and current account surplus.
Instead, I show how the change in methodology has addressed prior distortions.
@IMFNews @Brad_Setser
To understand why, we need to go back to the the 19th century during the first globalization boom.
This was a time when physical trade flows largely matched funds & value flow, as products produced entirely in one region were traded for those produced entirely in others.
Fast forward to present day: Trade has gotten significantly more complex.
Lower friction costs of trade made it possible to separate/outsource different segments of the mfg. value chain.
Int'l tax laws incentived firms to shift profits, which distorts customs data.
This is especially true for China, which became the world's factory floor — with the implication that China is the final destination for most of the world's manufactured consumer goods by global brands before they are shipped all around the world.
The iPhone is one of the best illustrative studies.
This diagram shows how China Customs measures it using physical trade flows.
But if we examine actual fund flows — which is the ultimate objective in measuring trade — China switches from being counted as a large net exporter ($31.2B) of iPhones to a larger importer ($21.6B).
This is a $52.8B swing/distortion for a single product from one company.
Ultimately the direct funds flow approach is more accurate than the physical flows approach.
After all, China Customs' measurement of physical trade flows had merely been used as a proxy for the underlying fund flows & value transfers.
We can further break down the physical vs. fund flows distortions into two key categories.
First, is the overstatement of exports using physical vs. fund flows.
This is driven by the difference b/n customs valuation and actual payments to the contract manufacturer.
While there is some debate on the exact magnitude of the difference between customs value and payments to the contract manufacturer — as it will vary by industry and product — we know that it can only be distorted in one direction (i.e. overstatement).
Customs value cannot go below amounts paid to the contract manufacturer, but it can be much higher.
This was confirmed recently when analyzing differences in custom valuations between the U.S., Japan and Ireland for the iPhone.
Secondly, there is another key distortion on the measurement of imports between physical and funds flows approaches.
This time it is an understatement — which leads to further overstatement of the surplus.
As mentioned earlier, combined these distortions add up to an estimated $52.8B just for the iPhone.
And these distortions are not Apple-specific or limited to bonded zones.
They are features of most relationships between foreign brands and Chinese contract factories.
For example, we see the same phenomenon with global footwear brands like Nike and Adidas that manufacture shoes in China for customers both outside and within China.
Within branded footwear, I calculate a net overstatement of $27.5B.
Less than the iPhone, but still material.
Indeed, we can generally apply this analysis across all sectors where foreign brands contract manufacturing to Chinese factories.
The scope of this net overstatement is large.
I estimate distortions equal to 3.2-4.7% of exports (as measured by China Customs) and 1.1-1.6% of imports, amounting to a combined $142 to 212 billion in '22 — and even this may be quite conservative.
Keeping all of this context in mind, the change in methodology in 2021-22 from using China Customs physical flows data to underlying funds flow data kept by SAFE (e.g. FX transactions and reported financials) was most likely to correct for these known distortions.
Correcting these known, observable distortions is a far more plausible explanation than speculative claims that the methodological changes were made as a way to understate or otherwise hide its trade surplus.
Indeed, as I discussed in my initial thread on the topics a few weeks ago, there are no signs of a the "hidden capital flight" that would be a necessary balancing implication of a current account surplus that is understated by half a trillion dollars.
Instead, this corrects longstanding physical vs. fund flow distortions that have been steadily rising from:
(i) ↗️ exports
(ii) ↗️ use of Chinese contract mfgs, and
(iii)↗️ sophistication of int'l tax optimization strategies via profit shifting to tax havens like Ireland
Indeed, if we apply general assumptions on distortion levels to BoP figures dating back to 2012, we can see how they adjust E&O in a way that is still consistent with known "hidden capital flight" surges like 2015-18 and 2021-22.
Further analysis will be helpful to further refine these assumptions but the general conclusion here is that it is far more likely that Chinese trade surpluses have been overstated rather than understated over the past dozen years.
But in Brad’s adjustment, he compares the Customs surplus (which does not include this adjustment) with the new BoP surplus methodology based on fund flows (which does).
This is not apples to apples.
Thus, adding the full gap between Customs data and (post-adjustment) BoP Surplus double-counts this import understatement adjustment.
My position is that the new methodology properly accounts for the export overstatement and this import understatement.
4. If there are valid reasons, such as the rise of these identified distortions, then making the move to the new methodology that ends up reduces E&O should provide comfort, not arouse suspicion.
E&O could be a function of distorted official measures (such as the customs exports overstatement) or it could be a sign of hidden capital flight.
What doesn’t pass the sanity check are logical implications of Brad’s position that China’s CA surplus should be adjusted by $500B.
I discussed why here. There’s just no smoke / evidence that there is hidden capital flight anywhere close to the $500B that would be required to balance out the proposed adjustment.
I’m happy to change my position if evidence can be found of this, but none has been offered.
I have compiled customs data from OEC for 2022 for some of the larger European countries to fill in some of the remaining gaps.
Est. customs value for iPhone is significantly higher than U.S. (as expected) but also higher than Japan.
This raises the $/unit customs average to $457. I have used this data to update the previous slide: it now covers >90% of exported iPhones from China.
I've tweaked some of the assumptions (BOP as a % of retail, iPhone/Android price ratio) to be even more conservative.
Updated export overstatement of $27B representing ~32% of the customs export value.
Compares to 10-15% on foreign brand exports, which are ~1/3rd of total exports. This is appropriately conservative, as an iPhone has relatively high intangible content.
In other words, it is not just "bonded zones", which are a subset of "factoryless manufacturing" for products like the iPhone where there are large number of finished components that need to be handled logistically.
To calculate the range of potential distortions, I use 10-15% of this $1.1T in exports by foreign-funded entities.
This is actually quite conservative based on the Apple and Nike examples, where intangible asset (e.g. brand, tech) make up the majority of the value.
The value recorded by China Customs for exports is typically based on the Transaction Value method and determined by the importing firm, not by China Customs or the contract manufacturer.
As noted here, intangible value like IP and royalty license should be included in this valuation.
The customs valuation is relevant for the importer because that is the value on which potential duties and VAT are calculated by the importing country.
The Transaction Value (TxV) method is the dominant form to estimate customs valuation, used in “90-95%” of transactions.
It’s discrepancies between TxV — determined by the importer — recorded by China Customs and the price paid to the CM that create export overstatement.
For China, net exports does a particularly poor job of measuring foreign demand.
It overstates the “reliance on foreign demand” to GDP from two statistical effects.
While somewhat technical in explanation, these are very relevant in the context of trying to figure out which side has leverage in the ongoing trade war.
The first is the structural deficit that China runs on FDI income. Foreign MNCs make for more money in China than Chinese MNCs earning income abroad.
The paradigm example is Apple selling iPhones to Chinese HHs. Apple sells over 40 million iPhones a year to Chinese HHs and has earned over $200 billion in segment GAAP operating income in China over the past decade.
Even though this essentially represents real Chinese domestic demand and an import — with the repatriated earnings supporting high-paying jobs in Cupertino and profits to mainly American shareholders — the profit component of this is captured in FDI income, not the trade figures.
Factoring in redistribution and wealth effects — which most people, including Armand seem to ignore — China and U.S are at roughly *equal levels of socioeconomic inequality but key difference is that China’s trajectory is improving while the U.S.’ is not.
Probably time to re-up this deep dive I did last fall examining China’s socioeconomic inequality that goes beyond wages and takes into account redistribution and wealth effects.
I have not done as deep analysis on U.S. socioeconomic inequality but would note that on a wage basis China’s Gini coefficient is equal or lower than the U.S. especially after factoring in redistributive policies 👇.
U.S. imported $439B of goods from China in 2024. Under the new tariff regime, it is heading towards nil over time.
What does the economic adjustment look like?
To answer this we need to go beyond dollars and dive into sector case studies:
In this 🧵 I'll focus on the iPhone.
China exported ~100M iPhones to the U.S. in 2024 at customs invoice value of ~$430 each, for total recorded trade of $43 billion, or ~10% of total US-China bilateral goods trade.
This represented ~90% of trade captured by HS851713 (smartphones).
The actual economic value-add (EVA) that flows into Chinese GDP is much lower.
This is because the value that the Chinese economy adds is actually quite small, mainly focused on lower-value components and labor-intensive assembly.
One second-order effect of this will likely be that China reduces its USD reserves.
This is not a direct retaliatory action: less direct trade simply means less need for USD-denominated reserves.
But what will be the replacement?
The RMB is still relatively small in international settlement (<5% 👇) but global financial flows follow trade flows, so any major trade shifts like one we are witnessing today between China and the U.S. needs to be considered within this framework.