Describe the relationship between technology productivity and costs

describe the relationship between technology productivity and costs

Read chapter 3 Effects of Information Technology on Productivity, a value 10 times greater than the direct costs of computer hardware, but they also are which may also help to explain the falling share of labor in overall GDP . shift in the labor-capital relationship, as advanced technology is embodied. such investments depends upon the relationship between the fixed costs of the firm empirical work "focused on describing the paradox, denying the paradox, . In this paper, we identify three types of technologies that increase production. Applying the technology available to it, a business firm combines economic Note: Studying the relationship between costs and inputs without regard to the.

Business Firm A business firm is an economic unit engaged in the production of one of more economic goods or services.

Applying the technology available to it, a business firm combines economic resources factors of production to produce one or more goods for the purpose of making profits. A business firm buys economic resources inputs and sells the goods it produces outputs. Production and Costs To produce a good or a service a firm needs economic resources or factors of production. What a firm produces is called output.

A firm has to pay for the inputs it needs.

describe the relationship between technology productivity and costs

Therefore, inputs, on the one hand, generate costs and, on the other hand, generate output. We first study the relationship between inputs and the output; that is "production function". Then we look at the relationship between the output and costs; that is cost function. Studying the relationship between costs and inputs without regard to the output produced from the inputs is not useful.

That is why we study the relationship between costs and output. Factors of Production The primary factors of production are land and labor. Capital is another important factor of production. In economics we distinguish between physical capital and financial capital. Non-physical assets such as copy rights and patent rights are functionally similar to physical capital.

Financial assets representing physical capital stocks or used to acquire physical capital are financial capital. In addition to land, labor and capital businesses often use intermediate goods raw materials and supplies in the production process. In market economies the function of entrepreneurs is also very important.

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The function of an entrepreneur is to acquire and combine all the needed factors of production to produce a good. An entrepreneur takes chances risks in the hope of making profits. For the impact of workplace organizations on technology, see E. Hitt,Beyond computation: Information technology, organizational transformation and business performance, Journal of Economic Perspectives 14 4: Brynjolfsson,Intangible assets: Page 55 Share Cite Suggested Citation: Information Technology and the U.

describe the relationship between technology productivity and costs

The National Academies Press. In each case, the role of technology is considered, recent changes are summarized, and some potential future developments are considered, building on the discussion in Chapter 2 of current and possible future trends in underlying technologies. The committee is keenly aware that making forecasts about social phenomena is perilous.

Doing so with respect to the fast-changing and dynamic area of technology is even more challenging. Nevertheless, interpreting societal and economic responses to developments in technology can at least provide a framework for thinking about the future. In turn, productivity growth comes from new technologies and new techniques of production and distribution. On the influence of vested interests on blocking of technology, see J.

Mokyr,The Levers of Riches: For the influence on macro institutions on technology, see D. A Robinson,Why Nations Fail: Solow,A contribution to the theory of economic growth, Quarterly Journal of Economics 70 1: Stiroh,Projecting productivity growth: Lessons from the U. Hitt,Computers as a factor of production: The role of differences among firms, Economics of Innovation and New Technology 3: Computers and organizational capital, Brookings Papers on Economic Activity 1: Page 56 Share Cite Suggested Citation: The remainder of this section discusses open issues and questions as well as possible pathways for resolving them.

One hypothesis is that there is an increasing measurement problem in the official statistics on productivity.

This has been a longstanding research challenge, recognized at least since Solow 5 and Griliches. Unlike counting bushels of wheat or tons of steel, outputs for medical treatment or bank loans are less standardized. Output and productivity measurement require measuring output and input price deflators that reflect changes in quality, which is an enormous challenge. How does one compare a smartphone today with a mainframe from 20 years ago, let alone new apps that have no predecessors?

Great progress was made in the s and s on improving price deflators for the hardware parts of IT, 8 but the software side has been more challenging.

describe the relationship between technology productivity and costs

Recent evidence suggests that adoption of cloud computing and other changes are even making it more difficult to assess quality changes for hardware. Productivity is based on gross domestic product GDPwhich is in turn a measure of production or output. However, technological progress can increase welfare without increasing output. For instance, if Wikipedia replaces a paper encyclopedia or a free GPS mapping app replaces a stand-alone GPS device, then consumers can be better off even if output is stagnant or declining.

While these measurement issues remain an active area of study, the most recent research suggests that at most only a small fraction of the productivity slowdown can be attributed to measurement problems.

Brynjolfsson and Hitt found evidence that the productivity benefits of large enterprise systems took up to 7 years to be fully realized, as significant organizational and process changes were typically required to make full use of accompanying software and hardware investments. Building on work by Paul David, Syverson discussed the slowdown in productivity growth in the historical context of electrification of the production process at the end of the 19th century.

The first wave arrived quickly and reflected the adoption of electrification within the existing organization of production. The second wave, delayed by a few decades, reflected new ways of organizing production around this new technology. Similarly, while the first power looms allowed weavers to produce 2. Reinsdorf,Does the United States have a productivity slowdown or a measurement problem? Hitt,Computing productivity: Firm-level evidence, Review of Economics and Statistics Hitt,IT, workplace organization and the demand for skilled labor: A firm-level analysis, Quarterly Journal of Economics 1: David,The dynamo and the computer: An historical perspective on the modern productivity paradox, American Economic Review 80 2: Bessen,Learning By Doing: Page 58 Share Cite Suggested Citation: This perspective may help reconcile the observation of the apparently rapid changes in technology outlined in Chapter 2 with the current sluggish growth in productivity.

Yet there are more pessimistic views about the prospects for productivity and economic growth.

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Some have suggested that recent post innovations in information and other advanced technology simply do not have the same high payoff as innovations in earlier periods. The argument is that earlier innovations were in the form of general purpose technologies that had wide application to many industries. Firm-level evidence for the United States and the Organisation for Economic Co-operation and Development shows a widening gap between the most and least productive firms within industries in the post period.

Firm-level evidence, Review of Economics and Statistics 85 4: Causes, Consequences, and Policies, September Page 59 Share Cite Suggested Citation: The latter has been shown to be an important part of the process of productivity growth, and is discussed further in Chapter 4.

From this perspective, the hypothesis is that while the changes in technology outlined in Chapter 2 are indeed occurring, they are slow to show up in economic growth due to slowing diffusion or business dynamism. All of these hypotheses are active areas of research.

The discussion of future research directions in Chapter 6 emphasizes the significance of exploring such critically important questions. It is useful to note that future productivity growth cannot be predicted simply by extrapolating past trends because there is little serial correlation in growth rates from one decade to the next. Instead, future trends will depend on the invention and deployment of new and improved technologies and on the co-inventions by the workforce, organizations, and institutions needed to effectively use them.

For instance, by earlythe unemployment rate fell below 5 percent. However, much of this employment growth can be interpreted as a recovery from the Great Recession, which has been slow despite the fact that it officially ended in Furthermore, jobs lost in the recession are very different from those that appeared during the recovery.

Center on Education and the Workforce, https: Page 60 Share Cite Suggested Citation: Courtesy of Pascual Restrepo. It began to decline in the post period, with a sharp drop during the Great Recession, from which it has recovered slightly. Some of this trend can be accounted for by the aging of the population. However, declines in the employment rate are especially large for young and less educated individuals. Future Prospects for Technology and Employment Predictions that new technologies will make workers largely or almost entirely redundant are as old as technological change itself.