1 / 42

Information Technology and Productivity in the “New Economy”

Information Technology and Productivity in the “New Economy”. Kevin J. Stiroh* Federal Reserve Bank of New York Digital Transformations in the Information Society International Telecommunication Union & London Business School June 1, 2006.

lexi
Download Presentation

Information Technology and Productivity in the “New Economy”

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Information Technology and Productivityin the “New Economy” Kevin J. Stiroh* Federal Reserve Bank of New York Digital Transformations in the Information Society International Telecommunication Union & London Business School June 1, 2006 *The views expressed here represent those of the author only and not necessarily those of the Federal Reserve Bank of New York or the Federal Reserve System.

  2. Outline • The “new economy” • IT and productivity growth • Five questions

  3. The “New Economy”

  4. What is the New Economy?(circa March 2000) • New economy forces • Information technology (IT) • Globalization • Deregulation • New economy evidence • Faster productivity growth (output/hour) • Low unemployment and low inflation • Strong stock market

  5. What’s Left of the New Economy?(circa June 2006) • Some parts faded • Unemployment jumped to 6% in 2002 • Stock market, particularly tech, down since 2000 • Some parts remain robust • Moderate inflation • Strong productivity growth (output/hour) Focus on productivity growth and IT

  6. Why Is Labor Productivity Growth Important? • Productivity determines living standards • Productivity helps offset inflationary pressures

  7. 47:Q4-73:Q4 = 2.6% 73:Q4-95:Q4 = 1.5% 95:Q4-06:Q1 = 2.9%

  8. Why is IT Important? • Enormous technological progress • Moore’s Law • Price of a calculation fell by a factor of 1.2 trillion since 1900 (Nordhaus, 2001) • Rapidly falling prices

  9. GDP price index, BEA (5/23/06).

  10. GDP price index and computer price index, BEA (5/23/06).

  11. Why is IT Important? • Enormous technological progress • Moore’s Law • Price of a calculation fell by a factor of 1.2 trillion since 1900 (Nordhaus, 2001) • Rapidly falling prices • Massive investment by U.S. firms • Nearly 40% of nonresidential business investment in IT • Real IT investment grew 16% per year since 1959

  12. IT investment as a share of GDP. Current dollars, BEA (5/23/06).

  13. IT and Productivity Growth

  14. Three Sources of Productivity • Capital deepening • Investment provides more/better capital to labor • Labor quality • Compositional changes in the workforce • Total factor productivity (TFP) • Technology and everything else

  15. IT and Productivity:The Story • Fundamental technological progress • Moore’s Law • Productivity gains in IT-production (TFP) • Enormous declines in IT prices and increases in IT quality • Investment in IT • Firms substitute toward IT • Productivity gains in IT-use (capital deepening)

  16. IT and Productivity:The Evidence • Sources of U.S. productivity growth resurgence • IT / productivity link across industries and countries • Case studies of individual industries

  17. IT Drives the U.S. Productivity Resurgence1995-2004 less 1973-1995 Increase in Labor Productivity Growth Change 1.5 IT- Production (TFP) 0.3 • IT-Use (Capital Deepening) 0.5 • Other TFP 0.6 • Other Capital Deepening 0.3 • Labor Quality - 0.1 Average annual contribution in percentage points for U.S. business sector. Jorgenson, Ho, and Stiroh (2006).

  18. What Does the Industry Data Say? • Examine link between IT and industry productivity • Compare three sets of industries • IT-producing • IT-using • Other

  19. International Comparisons • Compare U.S. to Europe

  20. U.S. Productivity Accelerates, while EU Productivity Slows Note: Productivity is defined as GDP per hour worked. All figures are average annual percent growth. van Ark and Inklaar (2005).

  21. Explaining the U.S. / Europe Divergencevan Ark and co-authors • Both have strong productivity in IT-production, but Europe has smaller share • Smaller gains in IT-using industries • Particularly Retail, Wholesale, and Finance • Labor and product market rigidities • Faster growth in “New Europe” than in “Old Europe”

  22. Case Studies • Trucking Industry • Electronic vehicle management systems and GPS • More efficient operations, monitoring, fewer empty backhauls, less waiting to load/unload • Emergency vehicles • Computerized “enhanced 911” system leads to better matching of equipment • Improved health outcomes and lower patient costs • Retail • Technology allows scale and scope • Better information on customers, inventories, supply chain management

  23. Productivity Outlook • Project productivity growth for next decade • Uncertainty about technological progress • Pessimistic • Base-case • Optimistic • Range of technology forecasts • International Technology Roadmap for Semiconductors

  24. Percent

  25. Percent Percent

  26. IT and Productivity • IT is important for productivity • Production and use both matter • Wide range of evidence • Expect strong productivity for next decade • Considerable uncertainty, but little evidence of return to slow pace of 1973-95

  27. Five Questions

  28. What Changed in 1995? • Acceleration of IT technological progress • Shift to 2-year semiconductor cycle (Jorgenson, 2001) • Widespread use of Internet and e-commerce • OECD (2000) and Nordhaus (2000) • Emergence of open-source software • (DeLong, 2000) • Learning-by-doing

  29. Can IT Technological Progress Continue? • Pessimistic view • Diminishing returns (Gordon, 2000) • End of Moore’s Law (Mann, 2000) • Optimistic view • Silicon pipeline is full for the next decade or two • New technologies • DWDM, blue lasers, molecular-scale electronics, nano and quantum computing • Hard to predict long-run technological advances

  30. Will Firms Continue to Invest in IT? • Possible impediments • Rising interest rates • National security • Decline in investment funds due to current account • Saturation point for IT • Reasons for optimism • Changes in “locus of innovation” and new applications • Relative price changes are driving investment

  31. Does the “dot.com” Bubble Debunk the IT/Productivity Story? • No – confusion of productivity and profits • Ultimate winner will be consumers as profits are competed away and prices fall

  32. Is IT the Whole Story? • No • Firms need complementary innovations • Human capital • Organization structure • Information flows • Workplace practices • Weaker productivity/IT link since 2000 • Intangible capital?

  33. Conclusions • IT has made important contributions to U.S. productivity gains • Core of truth in the “new economy” hype • Technological progress lowers the price of IT • Lower prices spur IT investment • Consensus that U.S. productivity growth will continue

  34. Information Technology and Productivityin the “New Economy” Kevin J. Stiroh* Federal Reserve Bank of New York Digital Transformations in the Information Society International Telecommunication Union & London Business School June 1, 2006 *The views expressed here represent those of the author only and not necessarily those of the Federal Reserve Bank of New York or the Federal Reserve System.

  35. Reference Charts

More Related