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Transcript of Tariffs Are HUGE Gift To China And BRICS: Dr. Warwick Powell

Read the full transcript of Pascal Lottaz Interviews Dr. Warwick Powell on Neutrality Studies episode titled “Tariffs Are HUGE Gift To China And BRICS”, April 5, 2025.

The interview starts here:

Introduction

PASCAL LOTTAZ: Donald Trump has slapped massive tariffs on almost all countries that have trade relations with the United States. And the stock market has fallen into an abyss over the past two days. What the hell is this all about? And is the US digging its own grave or is this some strange Trumpian master plan to create a new world order?

To discuss this, I’m talking today again with my colleague and friend, Dr. Warwick Powell, who’s an adjunct professor at Queensland University of Technology and a senior fellow at the Taihe Institute. Warwick, welcome back.

DR. WARWICK POWELL: Great to see you again, Pascal.

PASCAL LOTTAZ: Warwick, you wrote this fantastic article on Substack and there’s a second piece going to come out tomorrow or the day after tomorrow in which you analyze how Trump came up with these calculations and then actually you put things into perspective and you make the argument that, well, this is not going to be pretty first and foremost for the U.S. But can you walk us through it? Maybe first of all, with telling us how does Trump come up with these weird numbers of like saying Switzerland is slapping tariffs on the United States, Japan is slapping tariffs on the United States? These are really strange numbers that we haven’t seen before.

Trump’s Tariff Calculation Method

DR. WARWICK POWELL: Yeah, look, the methodology that underpinned the tariff numbers that were announced a couple of days ago ultimately were deconstructed and reverse engineered by numerous people on social media within a very short space of time. And what they discovered was that contrary to the promise, which is that these were going to be reciprocal tariffs, meaning that they would be calculated on the basis of what the individual nation by nation tariff and probably non-tariff barriers are estimated to be, we actually had something quite different.

What we had was essentially a methodology that took America’s trade balance with a given country and divided it by the amount of imports it took from that country. And for good measure, mainly marketing measure, it then divided that number by two and that became the tariff number. I think the division by two was really a way of saying, well, look, it could have been a lot worse, but look how generous we are, we’re cutting it in half. And you should be grateful for that.

So that’s roughly how the numbers were arrived at. And so this idea of reciprocity really is not part and parcel of the calculations at all. The objective is to radically tackle what Trump sees as a significant problem, which is the merchandise trade deficit that the United States has with a whole bunch of countries and in the hopes of ultimately rejuvenating manufacturing.

The other interesting thing to note, and this probably goes to the heart of why these tariffs aren’t reciprocal at all, is that countries that actually have trade deficits with the United States and don’t have tariffs in place at all have also been hit with tariffs. And Australia is a classic case in point where Australia runs a trade deficit with the United States. It has zero tariffs for the US and nonetheless has been pinged with the default 10%. So there’s a default 10% and then there’s the nation by nation calculation.

Inherent Bias in the Methodology

The other thing that is probably worth noting in all of this, Pascal, is that there is a sort of an inbuilt bias in this particular methodology that can sweep up all sorts of nations that have a trade surplus with the United States for actually quite basic and fundamental or natural reasons that have nothing to do with trade barriers, whether or not they exist.

I’m talking in particular about low income countries that often have trade surpluses with the United States because they sell a lot of raw materials, for example, or they sell a lot of low labor cost manufacturers into the United States, often out of factories owned by American multinational corporations. And they don’t buy a lot from the United States for a pretty simple reason. The things that the United States makes and exports tends to be too expensive for these countries.

So on all three of those fronts, I think it’s fair to conclude that these tariffs actually aren’t about reciprocity and they’re certainly about a wider concern, if you will, about America’s trade balance.

The last thing I’ll say at the outset, just to sort of paint the picture, is that the trade balance question that sits at the heart of all of this concerns merchandise trade. It doesn’t concern trade in services, whether that’s in software services, streaming videos, computer games, software licensing, or of course, tourism and education. And on both of those fronts, the United States runs actually a substantial surplus. So it’s a very narrow cast view of the world. But nonetheless this is what it is.

The Real Purpose Behind the Tariffs

PASCAL LOTTAZ: I guess it’s pretty fair to say at this point that this is a fig leaf, right, the reciprocity issue and maybe one that actually starts building up then negotiation leverage for Donald Trump in order to coerce states to change trade practices with the US the way Washington or Donald Trump imagines those. But the nature now of these tariffs, do we know how they’re going to work actually? I mean there’s these strange numbers, 20, 30, 40%. I think Vietnam was slapped with like over 40%.

DR. WARWICK POWELL: Right.

PASCAL LOTTAZ: And on what, on all the goods that are called made in Vietnam. I mean a lot of these goods are actually produced by US Companies who produce them in Vietnam. And re-import, I mean these are entirely value chains and production chains, right, that are now going to be, this is going to be a super, a huge headache even to know how to implement those tariffs because we, as far as I understand, we don’t exactly know how this is going to work.

Implementation Challenges

DR.