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Author ORCID Identifier

https://orcid.org/0000-0003-3760-963X

AccessType

Campus-Only Access for Five (5) Years

Document Type

dissertation

Degree Name

Doctor of Philosophy (PhD)

Degree Program

Economics

Year Degree Awarded

2021

Month Degree Awarded

May

First Advisor

Deepankar Basu

Second Advisor

Naoki Yoshihara

Third Advisor

Nikunj Kapadia

Subject Categories

Political Economy

Abstract

This dissertation revisits the long-standing debate on the Marxian falling-rate-of-profit hypothesis---rising organic composition of capital leads to lower profitability. On the theoretical front, I construct a Marxian input-output model that considers the turnover of capital, which has long been neglected by the input-output literature. Within this framework, I generalize the Fundamental Marxian Theorem, the Okishio Theorem, and some other well-known propositions in the literature. However, the falling-rate-of-profit hypothesis is found to be theoretically indeterminate; in particular, the determinate result as obtained by Laibman (1982) is overturned. On the empirical front, I first apply the structural vector autoregression method on annual time series data of the United States for the period 1929--2019. I find no significant long-run effect of the organic composition of capital on profitability, regardless of how the rate of profit and organic composition of capital are measured. I then apply the difference and system generalized method of moments on a large cross-country industry-level panel dataset derived from the World Input-Output Database for the period 2001--2014. The finding is mixed: If the organic composition of capital is measured in nominal terms, it is found to have significant long-run negative effect on the rate of profit; if it is measured in real terms, the effect is instead significantly positive.

DOI

https://doi.org/10.7275/22468666.0

Creative Commons License

Creative Commons Attribution-Share Alike 4.0 License
This work is licensed under a Creative Commons Attribution-Share Alike 4.0 License.

Available for download on Saturday, May 14, 2022

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