A production function is the relationship between the quantity of inputs a firm uses and the quantity of output it produces.
A firm produces goods or services for sale. To do this, it must transform inputs into output. The quantity of output a firm produces depends on the quantity of inputs; this relationship is known as the firm’s production function. As we’ll see, a firm’s production function underlies its cost curves. As a first step, let’s look at the characteristics of a hypothetical production function.
To understand the concept of a production function, let’s consider a farm that we assume, for the sake of simplicity, produces only one output, wheat, and uses only two inputs, land and labor. This particular farm is owned by a couple named George and Martha. They hire workers to do the actual physical labor on the farm. Moreover, we will assume that all potential workers are of the same quality—
A fixed input is an input whose quantity is fixed for a period of time and cannot be varied.
A variable input is an input whose quantity the firm can vary at any time.
George and Martha’s farm sits on 10 acres of land; no more acres are available to them, and they are currently unable to either increase or decrease the size of their farm by selling, buying, or leasing acreage. Land here is what economists call a fixed input—an input whose quantity is fixed for a period of time and cannot be varied. George and Martha, however, are free to decide how many workers to hire. The labor provided by these workers is called a variable input—an input whose quantity the firm can vary at any time.
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The long run is the time period in which all inputs can be varied.
The short run is the time period in which at least one input is fixed.
In reality, whether or not the quantity of an input is really fixed depends on the time horizon. Given a long enough period of time, firms can adjust the quantity of any input. Economists define the long run as the time period in which all inputs can be varied. So there are no fixed inputs in the long run. In contrast, the short run is defined as the time period in which at least one input is fixed. Later, we’ll look more carefully at the distinction between the short run and the long run. For now, we will restrict our attention to the short run and assume that at least one input (land) is fixed.
Questions about the short run and the long run can cause confusion. Just remember that in the long run, all inputs are variable, and in the short run, at least one of them is fixed.
The total product curve shows how the quantity of output depends on the quantity of the variable input, for a given quantity of the fixed input.
George and Martha know that the quantity of wheat they produce depends on the number of workers they hire. Using modern farming techniques, one worker can cultivate the 10-
The marginal product of an input is the additional quantity of output produced by using one more unit of that input.
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Although the total product curve in Figure 54.1 slopes upward along its entire length, the slope isn’t constant: as you move up the curve to the right, it flattens out. To understand this changing slope, look at the third column of the table in Figure 54.1, which shows the change in the quantity of output generated by adding one more worker. That is, it shows the marginal product of labor, or MPL: the additional quantity of output from using one more unit of labor (one more worker).
Whatever units you choose to use in marginal analysis, always be careful that you use the same units throughout the problem.
In this example, we have data at intervals of 1 worker—
or
Recall that △, the Greek uppercase delta, represents the change in a variable. Now we can explain the significance of the slope of the total product curve: it is equal to the marginal product of labor. The slope of a line is equal to “rise” over “run.” This implies that the slope of the total product curve is the change in the quantity of output (the “rise”) divided by the change in the quantity of labor (the “run”). And, as we can see from Equation 54-
In 1798, Thomas Malthus, an English pastor, introduced the principle of diminishing returns to an input. Malthus’s writings were influential in his own time and continue to provoke heated argument to this day.
Malthus argued that as a country’s population grew but its land area remained fixed, it would become increasingly difficult to grow enough food. Though more intensive cultivation of the land could increase yields, as the marginal product of labor declined, each successive farmer would add less to the total than the last.
From this argument, Malthus drew a powerful conclusion—
Happily, over the long term, Malthus’s predictions have turned out to be wrong. World population has increased from about 1 billion when Malthus wrote to more than 7.2 billion in 2014, but in most of the world people eat better now than ever before. So was Malthus completely wrong? And do his incorrect predictions refute the idea of diminishing returns? No, on both counts.
First, the Malthusian story is a pretty accurate description of 57 of the last 59 centuries: peasants in eighteenth-
In this example, the marginal product of labor steadily declines as more workers are hired—
Figure 54.2 shows how the marginal product of labor depends on the number of workers employed on the farm. The marginal product of labor, MPL, is measured on the vertical axis in units of physical output—
There are diminishing returns to an input when an increase in the quantity of that input, holding the levels of all other inputs fixed, leads to a decline in the marginal product of that input.
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In this example the marginal product of labor falls as the number of workers increases. That is, there are diminishing returns to labor on George and Martha’s farm. In general, there are diminishing returns to an input when an increase in the quantity of that input, holding the quantity of all other inputs fixed, reduces that input’s marginal product. Due to diminishing returns to labor, the MPL curve is negatively sloped.
To grasp why diminishing returns can occur, think about what happens as George and Martha add more and more workers without increasing the number of acres. As the number of workers increases, the land is farmed more intensively and the number of bushels increases. But each additional worker is working with a smaller share of the 10 acres—
The next module explains that opportunities for specialization among workers can allow the marginal product of labor to increase for the first few workers, but eventually diminishing returns set in as the result of redundancy and congestion. The crucial point to emphasize about diminishing returns is that, like many propositions in economics, it is an “other things equal” proposition: each successive unit of an input will raise production by less than the last if the quantity of all other inputs is held fixed.
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What would happen if the levels of other inputs were allowed to change? You can see the answer illustrated in Figure 54.3. Panel (a) shows two total product curves, TP10 and TP20. TP10 is the farm’s total product curve when its total area is 10 acres (the same curve as in Figure 54.1). TP20 is the total product curve when the farm’s area has increased to 20 acres. Except when 0 workers are employed, TP20 lies everywhere above TP10 because with more acres available, any given number of workers produces more output. Panel (b) shows the corresponding marginal product of labor curves. MPL10 is the marginal product of labor curve given 10 acres to cultivate (the same curve as in Figure 54.2), and MPL20 is the marginal product of labor curve given 20 acres. Both curves slope downward because, in each case, the amount of land is fixed, albeit at different levels. But MPL20 lies everywhere above MPL10, reflecting the fact that the marginal product of the same worker is higher when he or she has more of the fixed input to work with.
The MPL typically falls as more workers are hired because increases in production are limited by a fixed amount of capital that must be shared among the growing number of workers. Also, it may be necessary to hire less qualified workers.
Figure 54.3 demonstrates a general result: the position of the total product curve depends on the quantities of other inputs. If you change the quantities of the other inputs, both the total product curve and the marginal product curve of the remaining input will shift. The importance of the “other things equal” assumption in discussing diminishing returns is illustrated in the FYI.