1.0 Introduction
Part of my program is to
construct numeric examples
of the reswitching of techniques and of other
capital-theoretic 'paradoxes' in
a variety of models.
Models of exhaustible resources, under some interpretation, provide another opportunity.
2.0 Background
A dispute exists on how compatible the existence of exhaustible resources is with the long period method.
An excessively simple analysis is to treat payments for exhaustible resources like rent paid
for 'the original and indestructible powers of the soil' (Ricardo 1951: 67).
At a given point in time, the cost of mining a resource varies among deposits, and rent varies among mines in use.
More than one mine is typically operated for an exhaustible resource because of constraints on the capacity
at which mine can be operated. This, arguably, is Ricardo's approach in Chapter III, on the rent of mines, in his Principles.
Sraffa (1960), too, groups 'land and mineral resources' together, under the heading of natural resources.
Kurz & Salvadori (2009, 2015) read both Ricardo and Sraffa as having a somewhat more sophisticated approach
Parrinello (1983) and Schefold (1989) consider exhaustible resources as such. Bidard & Erreygers (2001, 2020),
with the corn-guano model, argue that exhaustible resources are inconsistent with the long period method.
The story associated with the model is about an island which was populated by dodos. Manure increases the
yield of corn. But, since the dodo is extinct, no more guano is being made in the story.
Eventually, capitalist farmers must adopt the backstop technology. They argue that a royalty for an exhaustible natural
resource will vary over time, in accordance with the Hotelling rule. All prices will vary over
time, as long as exhaustible resources are used in production
Parrinello (2004) and Kurz & Salvadori (2009, 2011, 2015) argue that when the resource will
be exhausted is not well-enough known for the Hotelling rule to fully apply.
In Kurz & Salvadori's models, a constraint on mines limits how much of each exhaustible resources
can be brought above ground in each production period. The price of unmined exhaustible resources increases
in accordance with the Hotelling rule, but the rent on mines can decrease in parallel, leaving the price of mined
resources unchanged over time. Even though this is an intertemporal model, the prices of produced commodities do not vary over time.
For Ravagnani (2008), the royalty for an exhaustible resource provides another degree of
freedom and is set as a percentage of production by conventions and social norms, much
like the natural wage in Ricardo and Marx. Huang (2018) builds on Kurz & Salvadori and
treats exhaustible resources by introducing processes to search for resources.
3.0 Parameters
Tables 1 and 2 specify a technology that extends an example from Kurz & Salvadori (2011) to include the production of iron.
Iron and corn are basic commodities in the sense of Sraffa. Each column in Table 1 specifies the inputs needed to operate the process
at a unit level.
Each column in Table 2 specifies the corresponding outputs for the process, when operated at a unit level.
All processes exhibit constant returns to scale (CRS).
Table 1: Inputs for The Technology
| Output | Process |
| I | II | III | IV | V | VI | VII | VIII |
| Labor (Person-Yrs.) | a0,1 | a0,2 | a0,3 | a0,4 | a0,5 | a0,6 | - | - |
| Iron (Tons) | a1,1 | a1,2 | a1,3 | a1,4 | - | - | - | - |
| Corn (Bushels) | a2,1 | a2,2 | a2,3 | a2,4 | - | - | - | - |
| Oil Underground (Barrels) | - | - | - | - | a3,5=1 | - | a3,7=1 | - |
| Menthane Underground (K-Litres) | - | - | - | - | - | a4,6=1 | - | a4,8=1 |
| Extracted Oil (Barrels) | - | - | a5,3=1 | - | - | - | - | - |
| Extracted Menthane (K-Litres) | - | - | - | a6,4=1 | - | - | - | - |
Table 2: Outputs for The Technology
| Output | Process |
| I | II | III | IV | V | VI | VII | VIII |
| Iron (Tons) | b1,1 = 1 | - | - | - | - | - | - | - |
| Corn (Bushels) | - | b2,2=1 | b2,3=1 | b2,4=1 | - | - | - | - |
| Oil Underground (Barrels) | - | - | - | - | - | - | b3,7=1 | - |
| Menthane Underground (K-Litres) | - | - | - | - | - | - | - | b4,8=1 |
| Extracted Oil (Barrels) | - | - | - | - | b5,5=1 | - | - | - |
| Extracted Menthane (K-Litres) | - | - | - | - | - | b6,6=1 | - | - |
The first process produces iron. The next three processes produce corn. The first corn-producing process is part of a backstop technology.
The other two use oil and menthane as fertilizer, respectively. Processes V and VI are extraction processes.
Processes VII and VIII are conservation processes.
The extraction processes, V and VI, are constrained not to produced more than a maximum output in any year. I
let to be the maximum output for oil extraction in a year. Let tm
be the maximum output for menthane extraction in a year. The data also includes the specification
of quo, the initial quantity of unexextracted oil, and qum, the initial
quantity of unextracted menthane.
Final demand, y1 and y2 for iron and corn, are the last parameters needed to
specify this model.
4.0 Selected Price Variables
I need to specify techniques and quantity flows for each technique. The amount of unextracted oil and methane will vary over
time. Depending on the parameters, only some techniques will be feasible.
Table 3 defines the price variables that will be found by solving the price equations. Rent on mines and the
prices of unextracted exhaustible resources vary over time, as reflected in the notation.
Table 3: Selected Price Variables
| Variable | Definition |
| p1 | Price of a ton iron. |
| p2 | Price of a bushel corn. |
| po | Price of a barrel of extracted oil. |
| pm | Price of a kilo-litre of extracted methane. |
| puo(t) | Price of a barrel of unextracted oil at the end of the tth year. |
| pum(t) | Price of a kilo-litre of unextracted menthane at the end of the tth year. |
| rhoo(t) | Rent per barrel oil extracted in a year. |
| rhom(t) | Rent per kilo-litre methane extracted in a year. |
| w | The wage. |
| r | The rate of profits. |
6.0 Conclusion
My problem is to find numeric values for model parameters such that reswitching results. This reswitching might
be analogous to the reswitching of the order of efficiency. Perhaps for some ranges of the rate of profits, the backstop
technology is operated along with the extraction of oil. And, at other ranges, the backstop technology is
operated along with the extraction of methane.
Or maybe the solution will be that corn is produced with process III, without the backstop technology, at some ranges of
the rate of profits. And, at other ranges, corn is produced with process IV, also without the backstop technology.
This post only poses a problem. I do not think it do difficult to see that capital-theoretic 'paradoxes' can appear
in Kurz and Salvadori's approach to exhaustible resources. I suppose it would be good to have concrete examples.
References
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- Bidard, C. and G. Erreygers. 2020. Exhaustible resources and classical theory. History, Methodology, Philosophy 10(3): 419-446.
- Huang, B. 2018. An exhaustible resources model in a dynamic input-output framework: A possible reconciliation between Ricardo and Hotelling. Journal of Economic Structures, 7(1): 1-24.
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