The Falling Rate of Profit under Fixed Capital and Stable Labor Shares
This paper extends the Okishio Theorem by demonstrating that incorporating fixed capital into a multi-sectoral model allows the equilibrium rate of profit to decline despite stable or moderately falling labor shares, driven by a critical wage elasticity threshold and a Prisoner's Dilemma dynamic in technical adoption, a finding empirically supported by Chinese industrial data.
Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
The Big Question: Why do profits sometimes fall even when things get better?
For a long time, economists have argued about a famous idea from Karl Marx: that as companies get richer and buy more machines, the overall rate of profit (the return on investment) tends to go down.
However, in 1961, a mathematician named Okishio proved a counter-argument. He showed that if companies adopt new, cheaper technologies, profits should actually go up, not down. This became the "gold standard" for proving Marx was wrong.
This new paper by Jiyuan Lyu says: "Okishio was right, but only if you ignore one huge thing: Fixed Capital."
The author argues that Okishio's math worked for a world of "circulating capital" (like raw materials that get used up immediately). But in the real world, we have fixed capital (machines, factories, software) that lasts for years. When you add these long-lasting machines back into the math, the conclusion flips: Profits can fall even if wages stay stable or grow slowly.
The Core Analogy: The Lemonade Stand vs. The Factory
To understand the paper, let's look at two different business models.
1. The Lemonade Stand (Circulating Capital)
Imagine you run a lemonade stand.
- Inputs: Lemons, sugar, and cups. You buy these every morning, make lemonade, sell it, and throw the empty cups away.
- The Magic: If you invent a machine that squeezes lemons faster, you save money on labor. Even if the price of lemons goes up a little, your savings on labor usually cover it.
- The Result: You make more profit. This is what Okishio proved. If you save on labor, you win.
2. The Factory (Fixed Capital)
Now, imagine you run a massive factory.
- Inputs: You still buy raw materials, but you also own a $10 million machine that lasts 10 years.
- The Trap: This machine is expensive. Its "cost" isn't just what you paid for it; it's the interest you pay on the loan to buy it, plus the wear and tear (depreciation).
- The Twist: The price of this machine depends on the cost of labor to build it.
Here is the "Aha!" moment of the paper:
Imagine you invent a new machine that saves you 20% on labor. Great! But, because you saved labor, the workers demand higher wages (or the economy naturally pushes wages up with productivity).
- In the Lemonade Stand, higher wages just cost you a bit more for sugar. You still win.
- In the Factory, higher wages make the new machines you buy more expensive to build. Since you have to pay interest on all your existing machines, and those machines are now "worth" more because labor is expensive, your total cost of owning the factory skyrockets.
The paper argues that the "savings" from using less labor are completely eaten up by the "cost" of the expensive machines you are forced to own.
The Three Key Takeaways
1. The "Tipping Point" (The Critical Wage)
The paper calculates a specific "tipping point."
- Old View: As long as wages don't rise faster than productivity, profits go up.
- New View: There is a lower tipping point. Even if wages rise slower than productivity (which is what usually happens in the real world), profits can still fall if you have a lot of fixed capital (machines).
- Analogy: Imagine a seesaw. In the old model, you needed the "Wage" side to be heavier than the "Productivity" side to tip the profit down. In this new model, the "Machine" side is so heavy that even a tiny shift in wages tips the whole thing down.
2. The Prisoner's Dilemma (Why we keep doing it)
This is the most dramatic part. Why do companies keep buying these expensive machines if it hurts everyone's profits?
- The Individual View: "If I buy this new machine, I save money on labor. I will make more money than my neighbor. I will win!"
- The Group View: "If everyone buys the machine, labor costs go up for everyone, and the machines become too expensive to maintain. Everyone loses."
- The Result: It's a Prisoner's Dilemma. Every single company acts rationally to save money, but because they all do it at the same time, the whole system crashes. They are trapped in a race to the bottom.
3. The Real-World Proof (China's Data)
The author didn't just do math; they looked at real data from Chinese factories between 1998 and 2007.
- What they found: In industries where machines made up a huge part of the cost (high "fixed capital"), increases in worker productivity did not lead to higher profits.
- The dampening effect: The more machines a company had, the less benefit they got from workers becoming more efficient. The "machine tax" ate up all the gains.
Summary: What does this mean for the economy?
This paper suggests that the modern economy is stuck in a trap.
- Innovation is a double-edged sword: We invent machines to save labor and boost efficiency.
- The cost of ownership: But because we rely so heavily on expensive, long-lasting machines, the cost of owning those machines rises whenever wages rise.
- The inevitable fall: Even if workers are paid fairly (or even if their share of the pie shrinks slightly), the sheer weight of our fixed capital (factories, tech, infrastructure) can cause the overall profit rate to fall.
In simple terms: We built an economy that runs on expensive machines. Every time we try to make those machines more efficient, we accidentally make them more expensive to own, which eventually chokes off the profits for everyone. It's like buying a faster car that gets better gas mileage, but the car is so heavy that the engine burns out faster, costing you more in the long run.
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