Dominick Salvatore Schaums Outline of Microeconomics, 4th edition Schaums Outline Series 2006

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152 COSTS OF PRODUCTION [CHAP. 77.7 THE LONG-RUN TOTAL COST CURVEIn Section 7.6 and Example 5 we saw that the LTC for any level of output can be obtained by multiplyingoutput by the LAC for that level of output. By plotting the LTC values for various levels of output and joiningthese points, we get the LTC curve. The LTC curve shows the minimum total costs of producing each level ofoutput when any desired scale of plant can be built. The LTC curve is also given by a curve tangent to all theshort-run total cost (STC) curves representing all the alternative plant sizes that the firm could build in the longrun. Mathematically, the LTC curve is the envelope to the STC curves (see Problem 7.17).The LAC and the LMC curves and the relationship between them could also be derived from the LTCcurve—just as the SAC and the SMC curves and the relationship between them were derived from the STCcurve in Example 3 (see Problem 7.18). In addition, from the relationship between the STC curves and theLTC curve derived from them, we can explain the relationship between the SAC curves and the correspondingLAC curve, and between the SMC curves and the corresponding LMC curve (see Problem 7.19).Finally, Problems 7.20 to 7.24 show the relationship between production functions and cost curves.7.8 THE COBB-DOUGLAS PRODUCTION FUNCTIONThe Cobb-Douglas is the most widely used production function in empirical work. The function isexpressed byQ ¼ AL a K bwhere Q is output and L and K are inputs of labor and capital, respectively. A, a (alpha) and b (beta) are positiveparameters determined in each case by the data. The greater the value of A, the more advanced is the technology.The parameter a measures the percentage increase in Q resulting from a 1% increase in L while holding Kconstant. Similarly, b measures the percentage increase in Q resulting from a one-percent increase in K whileholding L constant. Thus, a and b are the output elasticity of L and K, respectively. If a þ b ¼ 1, there areconstant returns to scale; if a þ b . 1, there are increasing returns to scale; and if a þ b , 1, there are decreasingreturns to scale. For the Cobb-Douglas function, e LK ¼ 1.EXAMPLE 6.If A ¼ 10 and a ¼ b ¼ 1/2, we haveQ ¼ 10L 1=2 K 1=2Since a þ b ¼ 1, this Cobb-Douglas exhibits constant returns to scale, so that its isoquants are equally spaced and parallelalong an expansion path that is a straight line from the origin. By holding K constant and by varying L, we generate the totalproduct of labor (TP L ) and, from it, the AP L and MP L . These curves exhibit only stage II of production (as in Fig. 6-14).Furthermore, the AP L and MP L are functions of or depend only on K/L. (See Problems 7.25 to 7.28.) The same is true for K.7.9 X-INEFFICIENCYIn Section 6.1, we defined production function as the technological relationship that shows the maximumquantity of a commodity that can be produced per unit of time for each input combination. However, in manyreal-world situations, neither labor nor management work as hard or as efficiently as they could, so that output isnot maximum. This was called X-inefficiency by Leibenstein, who first introduced the concept.X-inefficiency often occurs because of lack of motivation due to the absence of incentives or competitivepressures. For example, labor contracts often do not specify a job completely, leaving the amount and quality ofeffort required open to interpretation. In such cases, labor and management often choose not to exert themselvesas much as they could, leading to X-inefficiency.EXAMPLE 7. Considerable empirical evidence has been found to support the existence of X-inefficiency. For example,Leibenstein pointed out the case of an Egyptian petroleum refinery that had half the productivity of another similar installation.When new management was brought in, the productivity gap was quickly closed with the same labor force. For manyyears business has known that productivity can be increased by providing employees with a sense of belonging and accomplishment,but only recently has business come to fully appreciate the large potential gain possible by reducingX-inefficiency (i.e., increasing X-efficiency).

CHAP. 7] COSTS OF PRODUCTION 1537.10 TECHNOLOGICAL PROGRESSTechnological progress refers to an increase in. the productivity of inputs and can be represented by a shifttoward the origin of the isoquant referring to any output level. This means that any level of output can be producedwith fewer inputs, or more output can be produced with the same inputs. Hicks classified technologicalprogress as neutral, capital-using,orlabor-using, depending on whether MP K increased in the same proportion,greater proportion, or lesser proportion than MP L .EXAMPLE 8. Figure 7-6 shows neutral technological progress in panel A, K-using in panel B, and L-using in panel C.Since neutral technological progress increases MP K and MP L , in the same proportion, MRTS LK ¼ MP L /MP K ¼ slope ofisoquant remains constant at point E 1 and point E 2 along the original K/L ¼ 1 ray (see panel A). All that happens is thatQ ¼ 100 can now be produced with 2L and 2K instead of 4L and 4K. On the other hand, since K-using technological progressincreases MP K proportionately more than MP L , the absolute slope of the isoquant declines as it shifts toward the origin alongthe K/L ¼ 1 ray (see panel B). Finally, L-using technological progress is the opposite of L-using technological progress (seepanel C). K-using technological progress is sometimes referred to as K-deepening or L-saving because it leads to more K andless L being used in production. Similarly, L-using is called L-deepening or K-saving technological progress. The type oftechnological progress taking place is an important determinant of the share of Net National Product (NNP) going to Land K over time (see Problem 7.31).Fig. 7-6GlossaryAverage cost (AC)Average fixed cost (AFC)Average variable cost (AVC)Equals total costs divided by output; AC also equals average fixed costs plus average variable costs.Equals total fixed costs divided by output.Equals total variable costs divided by output.Capital-using technological progress The greater proportionate increase in the marginal product of capital than themarginal product of labor, so that the slope of the isoquant declines as it shifts toward the origin at the original capital-labor ratio.Cobb-Douglas production function This function is given by $Q ¼ AL a K b , where Q is output and L and K areinputs. A, a, and b are the parameters, a ¼ output elasticity of L, while b ¼ output elasticity of K. We have constant,increasing, or decreasing returns to scale when a a þ b ¼ 1, .1 or,1, respectively.Cost curvesExplicit costsImplicit costsShow the minimum cost of producing various levels of output.The actual expenditures of the firm to purchase or hire the inputs it needs.The value of owned inputs used by the firm in its own production processes.Labor-using technological progress The greater proportionate increase in the marginal product of labor than themarginal product of capital, so that the slope of the isoquant increases as it shifts toward the origin at the originalcapital-labor ratio.Long-run average cost (LAC)scale of plant can be built.Long-run marginal cost (LMC)Shows the minimum per-unit cost of producing each level of output when any desiredMeasures the change in long-run total cost per unit change in output.

152 COSTS OF PRODUCTION [CHAP. 7

7.7 THE LONG-RUN TOTAL COST CURVE

In Section 7.6 and Example 5 we saw that the LTC for any level of output can be obtained by multiplying

output by the LAC for that level of output. By plotting the LTC values for various levels of output and joining

these points, we get the LTC curve. The LTC curve shows the minimum total costs of producing each level of

output when any desired scale of plant can be built. The LTC curve is also given by a curve tangent to all the

short-run total cost (STC) curves representing all the alternative plant sizes that the firm could build in the long

run. Mathematically, the LTC curve is the envelope to the STC curves (see Problem 7.17).

The LAC and the LMC curves and the relationship between them could also be derived from the LTC

curve—just as the SAC and the SMC curves and the relationship between them were derived from the STC

curve in Example 3 (see Problem 7.18). In addition, from the relationship between the STC curves and the

LTC curve derived from them, we can explain the relationship between the SAC curves and the corresponding

LAC curve, and between the SMC curves and the corresponding LMC curve (see Problem 7.19).

Finally, Problems 7.20 to 7.24 show the relationship between production functions and cost curves.

7.8 THE COBB-DOUGLAS PRODUCTION FUNCTION

The Cobb-Douglas is the most widely used production function in empirical work. The function is

expressed by

Q ¼ AL a K b

where Q is output and L and K are inputs of labor and capital, respectively. A, a (alpha) and b (beta) are positive

parameters determined in each case by the data. The greater the value of A, the more advanced is the technology.

The parameter a measures the percentage increase in Q resulting from a 1% increase in L while holding K

constant. Similarly, b measures the percentage increase in Q resulting from a one-percent increase in K while

holding L constant. Thus, a and b are the output elasticity of L and K, respectively. If a þ b ¼ 1, there are

constant returns to scale; if a þ b . 1, there are increasing returns to scale; and if a þ b , 1, there are decreasing

returns to scale. For the Cobb-Douglas function, e LK ¼ 1.

EXAMPLE 6.

If A ¼ 10 and a ¼ b ¼ 1/2, we have

Q ¼ 10L 1=2 K 1=2

Since a þ b ¼ 1, this Cobb-Douglas exhibits constant returns to scale, so that its isoquants are equally spaced and parallel

along an expansion path that is a straight line from the origin. By holding K constant and by varying L, we generate the total

product of labor (TP L ) and, from it, the AP L and MP L . These curves exhibit only stage II of production (as in Fig. 6-14).

Furthermore, the AP L and MP L are functions of or depend only on K/L. (See Problems 7.25 to 7.28.) The same is true for K.

7.9 X-INEFFICIENCY

In Section 6.1, we defined production function as the technological relationship that shows the maximum

quantity of a commodity that can be produced per unit of time for each input combination. However, in many

real-world situations, neither labor nor management work as hard or as efficiently as they could, so that output is

not maximum. This was called X-inefficiency by Leibenstein, who first introduced the concept.

X-inefficiency often occurs because of lack of motivation due to the absence of incentives or competitive

pressures. For example, labor contracts often do not specify a job completely, leaving the amount and quality of

effort required open to interpretation. In such cases, labor and management often choose not to exert themselves

as much as they could, leading to X-inefficiency.

EXAMPLE 7. Considerable empirical evidence has been found to support the existence of X-inefficiency. For example,

Leibenstein pointed out the case of an Egyptian petroleum refinery that had half the productivity of another similar installation.

When new management was brought in, the productivity gap was quickly closed with the same labor force. For many

years business has known that productivity can be increased by providing employees with a sense of belonging and accomplishment,

but only recently has business come to fully appreciate the large potential gain possible by reducing

X-inefficiency (i.e., increasing X-efficiency).

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