رشد بهره وری نسبی و "زوال"سکولار در تولید آمریکا
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|11581||2010||8 صفحه PDF||سفارش دهید||6440 کلمه|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : The Quarterly Review of Economics and Finance, Volume 50, Issue 1, February 2010, Pages 67–74
There has been considerable debate about the causes of the “decline” of U.S. manufacturing over the post-war period. We show that the behavior of employment, prices and output in manufacturing relative to services over this period can be explained by a two-sector growth model in which productivity shocks are the only driving forces. Household preferences turn out to play a key role in our model. The data are consistent with a specification where households are unwilling to substitute goods for services (the estimated elasticity of substitution is statistically indistinguishable from zero), so the economy adjusts to differential productivity growth entirely by re-allocating labor across sectors.
Over most of the post-war period, employment in the manufacturing sector in the United States has grown noticeably more slowly than employment in services, while the relative price of manufactures has declined. Faster productivity growth in the manufacturing sector is often cited as an explanation.1 Moving resources to services may be the optimal response to higher productivity growth in manufacturing because it could allow increased consumption of both goods. However, others have emphasized the role of rising imports2; indeed, in popular discussions, the decline in manufacturing employment is often seen as evidence of the decline of U.S. manufacturing. In rebuttal, it has often been noted that a significant role for imports is hard to reconcile with output data which show little, if any, secular decrease in manufacturing output relative to real GDP.3 However, an approximately constant ratio of manufacturing output to GDP does not necessarily imply that increased imports have had little effect on the U.S. economy. For example, the constant share of manufacturing output to GDP could be the result of two roughly offsetting changes: an increase in demand (of any size) for manufactures in response to productivity-induced declines in the relative price and an increase in imports to satisfy this demand. How much the demand for manufactures will go up in response to falling prices depends upon household preferences. Consequently, in Section 2 below, we specify a two-sector model (manufactures and services) in which close attention is paid to how the parameters of the household utility function affect the response of the economy to various disturbances. Specifically, we assume that household utility is given by a CES utility function, so that the economy’s response to productivity shocks depends upon how willing the consumer is to substitute between manufactures and services. On the supply side, in order to focus on the role of productivity, we assume the same constant-returns-to-scale production technology in the two sectors, but allow them to experience different rates of exogenous technological progress. Our objective is to try and determine how much a productivity-driven model can explain. As we show below, the production side of our model imposes restrictions on the relationship between the growth rates of relative prices, output and employment in the two sectors. These restrictions are not rejected in our data sample which spans the 1950–2006 period. Two other findings are worth noting. First, we find that the average growth rate of manufactured goods output is statistically indistinguishable from that of the output of services. Second, the decline in the price of investment goods relative to the price of services is of the same size as the decline in manufacturing employment relative to services employment. In our model these findings are equivalent, in the sense that one implies the other. In addition, since relative prices depend only upon relative productivity in the two sectors, the latter finding also suggests that relative productivity shocks have been the dominant factor behind the decline in manufacturing employment over this period. We also show that the utility function imposes restrictions upon how the ratio of goods to services consumption should grow relative to the growth rate of prices. It turns out that while the consumption of manufactures has grown at the same rate as the consumption of services over our sample, the price of manufactures relative to services has fallen quite sharply over this period. In the model this implies that the elasticity of substitution is zero, that is, consumers appear to be completely unwilling to substitute manufactures for services. We go on to discuss the model’s implications for relative consumption growth rates if the elasticity of substitution were somewhat larger than zero. Equal growth rates of consumption over a roughly 50-year span in the face of a pronounced trend in relative prices do not, by themselves, prove the case for a zero elasticity of substitution between manufactures and services. To take one example, a relatively high income elasticity of demand for services could offset the effect of technologically induced declines in the relative price of manufactures and make it appear as though consumers were unwilling to substitute between the two goods. The sample period under study turns out to contain a natural experiment that provides a way to distinguish alternative hypotheses. It turns out that there is a statistically significant acceleration in the rate of productivity growth in the manufacturing sector relative to productivity growth in the services sector during the late 1960s. Our model implies that this permanent change in relative productivity growth rates should show up in the various quantities and prices determined in the model. Consistent with the model, we find evidence of breaks in the relative employment series and in the series measuring the price of investment goods relative to services. Another implication of the productivity-driven model (which is not intuitively obvious) is that the change in the growth rate of the relative price variable equal the change in the growth rate of relative employment in the two sectors. This restriction is not rejected by the data. However, we find no evidence of any break in relative consumption growth rates following the break in relative productivity growth (even though relative prices appear to break), a finding that is hard to explain without invoking a zero elasticity of substitution. The remainder of the paper is organized as follows. Section 2 lays out the theoretical model and derives the restrictions placed by the model on the behavior of output, employment and prices in the two sectors. Section 3 presents the data as well as the results of the empirical tests based upon the model while Section 4 concludes.
نتیجه گیری انگلیسی
This paper has studied the behavior of employment, prices and output in manufacturing relative to services using a two-sector growth model with constant returns in each sector and production technologies that differ only in the (exogenous) productivity processes affecting each sector. In the data, it turns out that the relative price of investment goods has fallen at about the same rate as relative employment in manufacturing over the 1950Q1–2006Q1 period. Although factors such as international trade may have played a role, in the framework of our model this empirical finding implies that the change in manufacturing employment (relative to services) can be explained by differences in productivity growth rates alone. How much employment changes in response to differences in productivity growth rates across the two sectors also depends upon the elasticity of substitution between goods and services. The less the household is willing to substitute between the two, the greater the re-allocation of employment that must take place in response to a difference in productivity growth rates. Here the evidence is that the elasticity of substitution is zero or close to it. These preferences tend to maximize the impact of relative productivity shocks on employment.