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Internet address: http://www.bls.gov/mfp Historical, technical information: (202) 691-5606 Media contact: (202) 691-5902 USDL 02-499 For Release: 10:00 AM EDT Thursday, August 29, 2002 MULTIFACTOR PRODUCTIVITY TRENDS IN MANUFACTURING, 2000 The Bureau of Labor Statistics of the U.S. Department of Labor today reported multifactor productivity data--output per unit of combined inputs for the manufacturing sector and for durable goods, nondurable goods, and two-digit (SIC) manufacturing industries through the year 2000. Multifactor productivity is designed to measure the joint influences on economic growth of technological change, efficiency improvements, returns to scale, reallocation of resources, and other factors. Multifactor productivity, therefore, differs from the labor productivity (output per hour) measures that are published quarterly by BLS since it requires information on capital services and other data that are not available on a quarterly basis. In 2000, multifactor productivity in all manufacturing changed at the following percentage rates: Manufacturing Durable manufacturing Nondurable manufacturing 1999-2000 1.9 3.3 0.0 Multifactor productivity in manufacturing increased for the ninth consecutive year, but at the lowest rate since 1996. The 2000 annual changes are summarized in table A; further detail and historical measures are shown in tables 1 through 3. The data sources and methods used in the preparation of the manufacturing series differ from those used in preparing the private business and private nonfarm business series published elsewhere (see BLS News Release USDL 02-128, Multifactor Productivity Trends, 2000), and these measures are not directly comparable. See page 8 and the Summary of Methods for further information on data sources and methods. The multifactor productivity measures for manufacturing differ in several ways from those for private business and private nonfarm business in their treatment of labor input, output, and classes of factor inputs. First, the manufacturing measure of labor input is a direct aggregate of hours. This is in contrast to the major sector measures for which estimates of the effects of changing labor composition have been developed. Next, the output concept used for multifactor productivity in manufacturing is “sectoral output. Sectoral output is similar to gross output, but excludes shipments from one establishment to another within the same manufacturing industry or sector. The resulting multifactor productivity measure compares what is produced in the manufacturing sector for use outside of manufacturing with the inputs used in the manufacturing process obtained from outside of manufacturing. The comparison excludes flows of intermediate inputs between manufacturing establishments from measures of both output and inputs. However, the comparison does include capital service inputs and capital goods produced, even when these goods are produced and consumed in manufacturing. Finally, multifactor productivity in manufacturing compares "sectoral output" to three classes of inputs: 1) hours at work of labor employed within manufacturing; 2) capital services employed by manufacturing establishments; and 3) purchases of energy, materials, and business services from outside of manufacturing (intermediates). In manufacturing, intermediates are the largest input in terms of costs. Furthermore, research has shown that substitution among inputs, including intermediates, affects productivity change. Therefore, it is important to include intermediates in productivity measures at the level of manufacturing. In contrast, the more aggregate productivity measures compare "value-added" output with two classes of inputs, capital and labor. Because of these differences in methods, productivity change in manufacturing cannot be directly compared with changes in private business or private nonfarm business. Manufacturing productivity in 2000 and historical trends Multifactor productivity in manufacturing rose 1.9 percent in 2000 (table A), down somewhat from the 2.6 increase in 1999, and the lowest multifactor productivity growth in manufacturing since 1996. In 2000, the 1.9 percent gain in multifactor productivity was the result of a 2.5 percent advance in sectoral output less a 0.7 percent increase in combined inputs. Growth in both output and combined inputs were the slowest since declines in 1991. Inputs of materials rose 0.9 percent in 2000, the slowest growth since 1987. Capital services continued to grow rapidly, posting a 3.8 percent advance; hours declined for the third year in a row, falling 1.4 percent, the largest decline in hours since 1991. Multifactor productivity grew 1.2 percent annually from 1949 (when the manufacturing series started) to 2000. Sectoral output increased at a 3.3 percent annual rate, and combined inputs rose 2.1 percent per year (table A). Unlike the private business and private nonfarm business sectors, the productivity slowdown in manufacturing was confined to the 1973-79 period. Multifactor productivity, which had been growing 1.5 percent annually prior to 1973, fell 0.6 percent per year between 1973 and 1979. Output growth slowed to 2.5 percent, while combined inputs grew 3.1 percent over the 1973-79 time period. Between 1979 and 1990, multifactor productivity growth in manufacturing rebounded sharply to 1.1 percent per year. Sectoral output growth continued to slow, and, in this period, all input growth rates fell. Hours declined, and the growth rates for both capital services and materials fell sharply. As a result, combined inputs grew less than 1 percent annually. The rebound in productivity was associated mainly with slower growth in combined inputs. From 1990 to 1995, multifactor productivity growth accelerated further, almost matching the pre-1973 growth rate. Multifactor productivity advanced 1.3 percent per year during this period. Output growth increased to 3.1 percent per year, while combined inputs rose 1.8 percent annually. The decline in hours slowed to 0.1 percent, and energy, materials, and purchased business services all grew much more rapidly than in the 1979-90 period. From 1995 to 2000, multifactor productivity advanced still faster at 2.1 percent per year. Sectoral output growth increased to 4.1 percent per year, while combined inputs continued to advance at about the same rate as in the early 1990s. Hours declined slightly during the 1995-2000 period, but the increase in the growth rate of capital services, to 4.0 percent, was notable. Among detailed manufacturing industries, durable goods manufacturers experienced considerably faster multifactor productivity gains than nondurable goods manufacturers in 2000 (table 3). While little difference existed prior to 1979, the productivity gap widened thereafter, primarily due to the rapid productivity growth in industrial and commercial machinery and electronic and other electrical equipment. Table A. Productivity and related data in manufacturing, percent changes, 1949-2000 (percent per year) Productivity Multifactor productivity1 Output per hour of all persons Output per unit of capital services Sectoral output Inputs Hours 2 Capital services Energy Non-energy materials Purchased business services Combined inputs3 19492000 19491973 19731979 19791990 19901995 19952000 19992000 1.2 1.5 -0.6 1.1 1.3 2.1 1.9 2.8 2.6 2.2 2.6 3.3 4.3 4.0 -0.4 0.0 -2.1 -0.8 0.6 0.1 -1.2 3.3 4.0 2.5 2.0 3.1 4.1 2.5 0.5 3.7 2.7 3.0 1.4 4.0 4.9 2.3 0.3 4.7 0.8 6.2 -0.7 2.8 0.3 1.7 -0.1 2.5 1.8 3.5 -0.2 4.0 0.5 4.5 -1.4 3.8 2.8 0.9 3.8 2.1 5.1 2.4 5.4 3.1 1.7 0.9 3.5 1.8 1.0 2.0 1.0 0.7 1. Output per unit of combined hours, capital, energy, materials and purchased business services inputs. 2. Hours at work of all persons. 3. The growth rate of each input is weighted by its share of nominal costs. Over the 1949-2000 period, multifactor productivity advanced most rapidly in electronic and other electrical equipment, textile mill products, and industrial machinery. The printing and publishing industry was the only industry to experience a multifactor productivity decline over the entire period. In the more recent period of 1995-2000, multifactor productivity grew very rapidly in the information processing equipment industries. It rose 7.4 percent per year in electronic and other electrical equipment and 5.8 percent per year in industrial machinery. Revisions The multifactor productivity data for 1997 forward reflect a number of revisions to source data. Revisions to both the manufacturing values of production and industry price indexes for 1997-2000 have been incorporated. In addition, methods underlying energy and non-energy materials have been improved, which affect estimates for all years after 1992. Comprehensive tables containing additional data beyond the scope of this press release are available upon request or at http://www.bls.gov/web/prod3.supp.toc.htm. Summary of Methods for the Manufacturing sector and manufacturing industries The following note describes the major data sources and the procedures used in deriving BLS multifactor productivity indexes. More detailed information on methods, limitations, and data sources is provided in BLS Bulletin 2178 (September 1983), "Trends in Multifactor Productivity, 1948-81." Methods for measuring manufacturing multifactor productivity are discussed in William Gullickson, "Measurement of productivity growth in U.S. manufacturing," in the July 1995 issue of the Monthly Labor Review. Additional data not contained in the release can be obtained in print or at http://www.bls.gov/mfp/home.htm. The manufacturing multifactor productivity measures describe the relationship between output in real terms and the inputs involved in its production. They do not measure the specific contributions of labor, capital, or any other factor of production. Rather, multifactor productivity is designed to measure the joint influences on economic growth of technological change, efficiency improvements, returns to scale, reallocation of resources due to shifts in factor inputs across industries, and other factors. The multifactor productivity indexes are derived by dividing an output index by an index of the combined input of labor, capital services, energy, non-energy inputs, and business service inputs. The output indexes are computed as chained superlative indexes (Tornqvist indexes) of components of output. Capital input measures the services derived from the stock of physical assets and software. The assets included are fixed business equipment, structures, inventories, and land. Among equipment, BLS provides additional detail for information processing equipment and software (IPES). IPES is composed of four broad classes of assets: computers and related equipment, software, communications equipment, and other IPES equipment. Computers and related equipment includes mainframe computers, personal computers, printers, video displays, and other related equipment. Software is comprised of pre-packaged, custom, and own-account software. Communications equipment is not further differentiated. Other IPES includes scientific and related equipment, photocopying and related equipment, and office and accounting equipment. Structures include nonresidential structures and residential capital that is rented out by profit-making firms or persons. Financial assets are excluded. The aggregate capital measures are obtained by Tornqvist aggregation of the capital stocks for each asset type within each of 53 industries using estimated rental prices for each asset type. Each rental price reflects the nominal rate of return to all assets within the industry and rates of economic depreciation and revaluation for the specific asset; rental prices are adjusted for the effects of taxes. Data on investments in physical assets are obtained from BEA. Current-dollar gross product originating (GPO) data, obtained from BEA, are used in estimating capital rental prices. This news release makes use of revised GPO data, released by BEA in December 2000. Hours paid of employees are obtained from the Current Employment Statistics program. The hours at work of proprietors, unpaid family workers, and farm employees are derived from the Current Population Survey. The hours of employees are converted to an at-work basis by using the Hours at Work survey. Labor input in manufacturing is measured as the sum of hours at work of all persons. The construction of hours at work follows the methods used in the private business sector described in USDL 02-128 Multifactor Productivity Trends, 2000, except that hours in manufacturing are directly aggregated and do not include the effects of changing labor composition. The labor and capital components of the input indexes are combined with (Tornqvist) weights that represent each component's share of total costs. Total costs are defined as the value of output (gross product originating) less a portion of indirect business taxes. Most indirect taxes, such as excise taxes, are excluded from costs; however, property and motor vehicle taxes remain in total costs. The index uses changing weights: The share in each year is averaged with the preceding year's share. The output index for total manufacturing is computed using a chained superlative index (Tornqvist) of 4-digit SIC industry outputs. Industry outputs are developed by BLS from data obtained from the Annual Survey of Manufactures (ASM) and the Census of Manufactures (CM) from the Bureau of the Census, U.S. Department of Commerce, together with Producer Price Indexes from BLS and price data from BEA. Energy input is constructed using costs and quantity data from the ASM, the CM, and the Manufacturing Energy Consumption Survey of the Energy Information Administration, U.S. Department of Energy, together with BLS Producer Price Indexes. The series on non-energy materials input also relies on ASM and CM data. Indexes of purchased business services are developed by BLS using input-output tables to estimate the proportion of costs attributed to nine types of services. Tornqvist indexes of each of these three input classes are developed at the 2-digit SIC level and then aggregated to total manufacturing. As with the sectoral output measures, materials and energy inputs are adjusted to exclude transactions between establishments within the same sector. The five input indexes (capital services, hours, energy, materials, and purchased business services) are combined using Tornqvist aggregation, employing weights that represent each component's share of total costs. Total costs are defined as the value of manufacturing sectoral output. The index uses changing weights: The share in each year is averaged with the preceding year's share. Table 1. Manufacturing sector: Productivity and related measures, 1949-2000 Indexes 1996=100 Productivity Inputs Year 1949 Output per hour of all persons 29.7 Output per unit of capital 121.5 Multifactor SectProduct oral ivity2 Output3 Hours4 59.5 22.7 76.4 CapPurch ital -ased Serv- EnMater- bus. ices1 ergy ials serv. 18.7 27.1 26.3 15.5 Comb. units of all inputs5 38.1 1950 30.1 128.9 62.6 24.9 82.5 19.3 28.4 25.9 18.1 39.7 1955 34.4 130.8 66.7 31.4 91.2 24.0 39.5 32.0 23.3 47.0 1960 37.1 119.9 68.1 32.9 88.8 27.5 48.0 32.5 25.9 48.3 1965 1966 1967 1968 1969 43.0 43.5 45.1 46.7 47.5 131.7 132.0 125.7 126.0 123.1 77.5 77.8 77.4 79.7 80.3 42.3 45.6 47.0 49.3 50.8 98.3 104.7 104.1 105.6 106.9 32.1 34.5 37.4 39.2 41.2 62.6 67.2 72.4 76.9 79.6 35.2 37.4 39.1 39.5 39.5 34.1 38.5 43.6 43.5 46.2 54.6 58.6 60.7 61.9 63.2 1970 1971 1972 1973 1974 48.1 51.3 53.4 54.4 54.3 112.4 112.3 118.6 120.7 111.2 79.1 81.3 84.2 85.7 81.1 48.3 49.7 54.2 58.0 56.5 100.6 96.9 101.4 106.6 104.1 43.0 44.3 45.7 48.0 50.8 79.8 81.0 83.2 85.7 88.1 38.2 40.7 43.7 45.6 49.8 44.6 44.1 47.1 51.3 54.9 61.1 61.2 64.3 67.7 69.7 1975 1976 1977 1978 1979 56.9 59.3 61.8 62.4 61.9 100.0 105.1 109.0 110.0 106.5 78.8 81.6 82.8 83.4 82.6 53.4 58.3 63.2 66.5 67.3 93.9 98.3 102.4 106.6 108.7 53.4 55.5 58.0 60.5 63.2 82.0 85.1 85.2 86.3 89.9 52.4 56.8 63.8 66.7 65.3 53.1 54.4 58.9 62.3 70.1 67.8 71.5 76.4 79.7 81.4 1980 1981 1982 1983 1984 62.1 62.8 66.1 68.0 70.4 97.4 93.4 87.3 90.2 96.7 81.2 81.8 83.3 85.1 87.7 64.4 64.7 62.2 64.9 71.6 103.7 103.0 94.0 95.4 101.6 66.2 69.2 71.2 71.9 74.0 86.3 86.0 77.7 78.6 83.6 63.6 63.0 61.4 61.8 68.2 67.3 65.0 56.3 63.4 67.4 79.3 79.1 74.6 76.2 81.6 1985 1986 1987 1988 1989 73.0 76.1 78.4 79.9 80.0 96.1 96.3 97.6 100.7 99.2 89.0 90.5 93.3 95.0 93.3 73.6 75.7 78.4 82.2 82.6 100.8 99.4 100.0 102.8 103.3 76.5 78.6 80.3 81.6 83.3 80.9 81.5 86.6 90.1 90.3 72.5 74.2 71.4 72.7 75.8 62.9 67.0 71.3 77.7 82.7 82.6 83.6 84.0 86.5 88.6 1990 1991 1992 1993 1994 82.3 84.2 88.6 90.3 93.0 97.5 93.6 96.0 97.0 99.7 93.1 92.2 93.8 94.8 97.4 83.2 81.6 85.5 88.3 93.0 101.1 96.9 96.5 97.8 99.9 85.3 87.2 89.1 91.1 93.2 93.2 93.4 93.3 96.7 99.9 78.3 79.2 84.6 87.1 90.0 84.8 84.4 91.7 94.1 96.2 89.4 88.4 91.2 93.1 95.5 1995 1996 1997 1998 1999 96.6 100.0 104.2 109.3 114.9 100.6 100.0 101.8 101.9 102.3 99.2 100.0 103.3 105.4 108.1 96.9 100.0 106.0 111.0 115.7 100.4 100.0 101.8 101.5 100.7 96.4 100.0 104.1 108.9 113.1 102.1 100.0 98.5 105.0 101.8 93.0 100.0 102.0 110.0 114.9 100.5 100.0 104.5 103.1 104.4 97.7 100.0 102.6 105.3 107.0 2000 119.5 101.1 110.1 118.6 99.3 117.3 104.6 115.9 105.5 107.7 See footnotes following table 2. Table 2. Source: Bureau of Labor Statistics Manufacturing sector: Productivity and related measures, 1950-2000 percent change Productivity Output per unit of capital Inputs Year Output per hour of all persons Multifactor SectProduct oral ivity2 Output3 Hours4 Capital Serv- Enices1 ergy Purch -ased Mater- bus. ials serv. Comb. units of all inputs5 1950 1.5 6.1 5.2 9.7 8.1 3.4 4.8 -1.4 16.8 4.3 1955 4.0 5.7 3.0 9.7 5.5 3.8 14.0 8.3 11.3 6.6 1960 2.2 -0.7 0.2 1.7 -0.4 2.4 1.8 4.2 1.6 1.5 1965 1966 1967 1968 1969 2.3 1.1 3.7 3.6 1.7 3.0 0.2 -4.8 0.3 -2.3 2.6 0.4 -0.6 3.0 0.8 8.3 7.7 3.1 5.1 2.9 5.9 6.5 -0.6 1.4 1.2 5.2 7.4 8.2 4.8 5.3 5.7 7.4 7.8 6.2 3.5 4.8 6.3 4.4 1.2 -0.2 6.9 12.9 13.4 -0.2 6.1 5.6 7.2 3.6 1.9 2.1 1970 1971 1972 1.2 6.7 4.1 -8.7 -0.1 5.6 -1.6 2.8 3.6 -4.8 2.9 8.9 -5.9 -3.6 4.6 4.2 3.0 3.2 0.3 1.5 2.7 -3.3 6.7 7.4 -3.4 -1.1 6.7 -3.3 0.1 5.1 1973 1974 1.9 -0.3 1.8 -7.9 1.8 -5.4 7.1 -2.5 5.1 -2.3 5.2 5.8 3.1 2.8 4.3 9.2 9.0 7.1 5.2 3.0 1975 1976 1977 1978 1979 4.9 4.2 4.1 1.0 -0.8 -10.0 5.0 3.7 0.9 -3.2 -2.9 3.5 1.5 0.8 -1.0 -5.4 9.2 8.4 5.2 1.1 -9.9 4.8 4.1 4.2 1.9 5.1 3.9 4.5 4.3 4.5 -7.0 3.8 0.1 1.2 4.2 5.3 8.4 12.4 4.6 -2.2 -3.3 2.4 8.3 5.7 12.6 -2.7 5.4 6.8 4.4 2.1 1980 1981 1982 1983 1984 0.4 1.1 5.2 3.0 3.5 -8.6 -4.1 -6.6 3.4 7.2 -1.7 0.7 1.8 2.2 3.0 -4.2 0.4 -3.9 4.4 10.3 -4.6 -0.7 -8.7 1.4 6.5 4.7 4.6 2.9 1.0 2.9 -4.0 -0.4 -9.6 1.1 6.4 -2.6 -0.9 -2.6 0.7 10.3 -4.1 -3.4 -13.3 12.6 6.2 -2.6 -0.3 -5.6 2.1 7.0 1985 1986 1987 1988 1989 3.6 4.3 2.9 2.0 0.1 -0.6 0.2 1.4 3.1 -1.4 1.5 1.7 3.1 1.8 -1.8 2.8 2.8 3.6 4.9 0.5 -0.8 -1.4 0.6 2.8 0.5 3.4 2.6 2.2 1.7 2.0 -3.3 0.8 6.2 4.0 0.2 6.4 -6.6 2.4 , 6.5 -3.8 6.4 1.7 9.0 4.2 6.4 1.3 1.2 0.4 3.1 2.4 1990 1991 1992 1993 1994 2.9 2.3 5.3 1.9 3.0 -1.7 -4.0 2.5 1.1 2.9 -0.2 -1.0 1.7 1.1 2.7 0.7 -2.0 4.8 3.3 5.3 -2.1 -4.2 -0.4 1.4 2.2 2.5 2.2 2.2 2.2 2.3 3.2 0.2 -0.1 3.7 3.3 3.3 1.2 6.7 3.0 3.3 2.5 -0.4 8.6 2.7 2.2 0.9 -1.0 3.1 2.2 2.5 1995 1996 1997 1998 1999 3.8 3.5 4.2 4.9 5.1 0.9 -0.6 1.8 0.1 0.4 1.9 0.8 3.3 2.0 2.6 4.3 3.1 6.0 4.7 4.3 0.4 -0.4 1.8 -0.2 -0.8 3.4 3.8 4.1 4.5 3.9 2.2 -2.1 -1.5 6.6 -3.1 3.4 7.5 2.0 7.8 4.4 4.5 -0.5 4.5 -1.4 1.3 2.3 2.3 2.6 2.6 1.6 2000 4.0 -1.2 1.9 2.5 -1.4 3.8 2.8 0.9 1.0 0.7 See footnotes following table 2. Source: Bureau of Labor Statistics Footnotes, Tables 1-2 Source: Output data are from the Bureau of the Census, U.S. Department of Commerce, and modified by the Bureau of Labor Statistics (BLS), U.S. Department of Labor. Compensation and hours data are from BLS. Capital measures are based on data supplied by BEA and the U.S. Department of Agriculture. See also Summary of Methods in this release. (1) A measure of the flow of capital services used in the sector. (2) Sectoral output per combined units of capital, hours, energy, non-energy materials, and purchased business services. (3) Manufacturing gross output excluding transactions between manufacturing establishments, superlative chained index. (4) Hours at work of all persons. (5) Combined units of capital services, hours, energy, non-energy materials, and purchased business services, superlative chained index. Table 3. Manufacturing industries: Multifactor productivity trends, 1949-2000 Average annual growth rates Industry 1949-00 1949-73 1973-79 1979-90 1990-95 1995-00 1999-00 Manufacturing 1.2 1.5 -0.6 1.1 1.3 2.1 1.9 Nondurable manufacturing Food and kindred products Tobacco manufactures Textile mill products Apparel & related products Paper and allied products 0.7 0.5 N.A. 2.3 0.9 0.7 1.3 0.7 N.A. 2.3 0.7 1.6 -0.6 0.1 N.A. 3.3 1.9 -1.2 0.3 0.4 N.A. 2.1 0.6 0.0 0.3 0.7 N.A. 1.7 0.5 0.0 0.5 -0.3 N.A. 1.9 1.4 0.8 0.0 -0.2 N.A. 2.4 2.1 -2.1 Printing and publishing Chemicals & allied products Petroleum refining Rubber & misc. products Leather & leather products -0.2 1.1 0.4 0.8 N.A. 0.5 2.5 0.8 1.0 N.A. -0.7 -2.6 -0.6 -1.9 N.A. -0.9 0.7 -0.1 1.4 N.A. -1.2 -0.2 0.3 1.2 N.A. 0.2 0.5 0.8 1.6 N.A. 0.3 -0.4 1.4 1.4 N.A. Durable manufacturing Lumber and wood products Furniture and fixtures Stone, clay, glass & contrete products Primary metals industries Fabricated metals industries 1.5 1.1 0.7 1.5 1.7 0.6 -0.6 0.4 0.4 1.8 2.5 0.7 2.0 -1.7 0.9 3.3 -0.8 1.0 3.3 -0.5 0.2 0.8 0.1 0.4 1.1 0.4 0.5 -1.2 -2.3 -1.0 1.4 0.3 0.5 0.7 0.5 1.0 0.6 1.0 0.3 -0.6 -0.9 1.1 1.9 0.7 0.2 3.2 3.1 5.8 4.9 3.1 0.8 1.3 1.0 2.1 1.5 1.8 1.5 1.0 -0.6 1.2 -0.7 3.0 0.2 1.4 1.1 6.0 0.5 0.2 -0.3 7.4 0.7 0.5 1.1 10.7 -1.4 3.6 3.1 Industrial & commerical machinery Electronic & other electrical machinery Transportation equipment Instruments Miscellaneous manufacturing N.A. Note: Multifactor productivity measures for tobacco and leather manufacturers are not published because of the small size of the industry and data limitations. These industries are included in the aggregate measures for total and nondurable manufacturing. Multifactor productivity measures by industry are not directly comparable to measures for aggregate manufacturing because industry measures exclude transactions only within the specific industry while the aggregate manufacturing measures also exclude transactions between all manufacturing industries.