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Appendix F: Science, Technology, and Innovation Databases and Heat Map Analysis
Pages 143-186

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From page 143... ... The third (S&T) , human capital, and innovation to determine the section presents the heat map analysis, citing the literature following:1 on methodological underpinnings of this technique. Read the entire page →
From page 144... ... ; Development.4 -- he National Survey of Recent College Graduates t (NSRCG) ; The SEI biennial volume is another notable contribution -- he Survey of Doctorate Recipients (SDR) Read the entire page →
From page 145... ... R&D expenditure by source of funds (including U • oreign-born percentage of S&E degree holders in the F venture capital) United States by field and level of S&E degree • ypes of U.S. Read the entire page →
From page 146... ... the information in the SEI -- such as assessment scores, S&E The following patent statistics are available on OECD's degrees, individuals in S&E occupations, R&D expenditures statistical portal: patents by country and technology fields and their various components, federal R&D obligations, (EPO, PCT, USPTO, Triadic Patent Families) ; patents by patents, and venture capital -- is available at the state level. Read the entire page →
From page 147... ... Statistics Canada is the Canadian federal statistical Jointly with Industry Canada and Foreign Affairs agency with a mandate under the Statistics Act: and International Trade Canada, Statistics Canada conducted the first Survey of Innovation and Business (a) to collect, compile, analyze, abstract and publish statistical information relating to the commercial, 6 Available:http://www.statcan.gc.ca/edu/power-pouvoir/about apropos/5214850-eng.htm [July 2013] Read the entire page →
From page 148... ... size academic R&D reported in Science and Engineering Indicators only NCSES and NSB Total R&D by performer Industrial R&D Academic R&D in S&E Federal R&D by major Federal obligations for Domestic R&D performed and funder, character of by funder, NAICS and non-S&E fields socioeconomic objectives, R&D and R&D plant by private nonprofit sector, work, country/ economy classification, company country/region by agency, performer, domestic R&D funded by size; R&D performed by character of work private nonprofit sector multinational companies, foreign affiliates Statistics Canada GERD by performer and BERD by funding sector HERD GOVERD by Private nonprofit R&D by funder socioeconomic objectives, funder type of science, components OECD GERD by performer, BERD by funding HERD, HERD financed GOVERD, GOVERD GBAORD by GERD performed by private funder, field of science, sector, type of cost, size by industry financed by industry socioeconomic nonprofit sector socioeconomic objectives class, field of science, objectives performing industry Eurostat GERD by funding source, BERD by funding HE intramural Government intramural GBAORD by GERD performed by private (NB: Almost all data sector of performance, type source, type of cost, size expenditure by funding expenditure by funding socioeconomic nonprofit sector; GERD available at regional of cost, socioeconomic class, economic activity source, type of cost, source, sector of objectives funded by private nonprofit level) objectives, field of science field of science, performance, type of cost, sector socioeconomic socioeconomic objectives, objectives field of science UNESCO GERD by performing GERD performed by GERD performed by GERD performed by private sector and funding sector, business enterprise higher education sector; nonprofit sector; GERD field of science, character sector; GERD funded by GERD funded by higher funded by private nonprofit of work business enterprise sector education sector sector Read the entire page →
From page 149... ... trade balance in USPTO patents granted Workers in S&E and SEH doctorate holders Small Business Media coverage, news research, development, by selected technology STEM occupations by gender, race/ethnicity, Innovation Research stories by topic area; and testing services by area, region/country/ by MSA, occupation field of doctorate, sector funding per $1 million correct answers to S&T affiliation; exports of economy; patenting category, educational of employment, academic of GDP by state and S&T-related questions high-technology and activity in clean energy background, R&D work appointment, salary, by gender and country/ manufactured products and pollution control activities, age, ethnicity/ unemployment rate; S&E region; public perceptions of by technology level, technologies; patents race; scientists and doctorate recipients and various occupational groups' product, region/ country/ granted by BRIC nations engineers reporting full-time S&E graduate contribution to society economy; global value by share of resident and international engagement students by source, primary and public policy-making added by type of industry; nonresident inventors; by demographic mechanism of support, process; public assessment/ ICT infrastructure index; patent citations to characteristics, Carnegie classification; opinion of stem cell research U.S. high-technology S&E articles by patent education, employment foreign recipients of U.S. Read the entire page →
From page 150... ... TABLE F-1 Continued 150 Agency/Organization Total R&D Industrial R&D Academic R&D Federal R&D GBAORD Nonprofit R&D Statistics Canada Intellectual property Researchers, support University degrees, Innovation activities; commercialization staff, technicians by diplomas, and certificates product and by higher education R&D performing sector granted by program level process innovation; sector; intellectual and type of science; and Classification of degree of novelty; property management federal personnel Instructional Programs, hampering factors by federal department engaged in S&T by gender, immigration status of and obstacles to and agency activity, type of science, innovation; important S&T component sources of information; cooperation arrangements; innovation impacts; methods of protection; geomatic activities OECD BOP -- payments and Patent applications, R&D personnel by Graduates by field and receipts; trade -- imports Triadic Patent Families, field of science, sector level of education; PISA and exports by R&D- patents in selected of performance, scores in science and intensive industries technologies by region, qualification; researchers mathematics international cooperation by sector of performance and gender Eurostat Trade in high-tech Patent applications Human resources in Doctorate holders by Innovation activities; (NB: Almost all industries and knowledge- at USPTO and EPO S&T, R&D personnel, gender, activity status; product and process data available at intensive sectors within EU by priority year and and researchers by employed doctorate innovation; degree of subnational level) and ROW; employment in sector, ownership gender, field of science, holders by gender, sector, novelty; hampering these sectors by gender, of patents, patent sector of performance, occupation, field of factors of and public occupation, educational citations; qualification; citizenship science, job mobility funding for innovation; qualification, mean European and of researchers in important sources earnings international copatenting, government and higher of information; Triadic Patent Families education sector cooperation arrangements; environmental innovation; objectives of innovation; impacts of innovation; methods of protection; employees in innovation sector Read the entire page →
From page 151... ... . Eurostat, see http://epp.eurostat.ec.europa.eu/portal/page/portal/science_technology_innovation/data/ database European Union, 1995-2013 [November 2012] Read the entire page →
From page 152... ... Technology Transfer Summary Reports statistics on patents, utility models, trademarks, industrial cover federal laboratories and FFRDCs. They contain designs, and plant varieties, thus creating a comprehensive data tables on patent applications, invention licenses, national database of intellectual property. Read the entire page →
From page 153... ... of ownership of patents that are granted by USPTO Trademark Casefile Dataset Trademarks granted by USPTO 1884-2010 Trademark Assignments Dataset Change of ownership of 2010 onward trademarks granted by USPTO Economic Research Service, U.S. Rural Establishment Innovation Inventory of innovation activities; First survey cycle was conducted in Department of Agriculture Survey use of technology by labor force, 2013 establishment, and community characteristics; factors hampering innovation; funding source for innovation; applications for intellectual property and trademarks; sources of information on new opportunities National Institutes of Health, STAR METRICS Recipient-based data containing 2009-2012 National Science Foundation, and information on contract, grant, White House Office of Science and loan awards made under and Technology Policy the American Recovery and Reinvestment Act of 2009 National Science Foundation Research Spending and Results Recipient-based data containing 2007 onward information on awards made by the National Science Foundation and the National Aeronautics and Space Administration National Institute of Standards and Federal Laboratory (Interagency) Read the entire page →
From page 154... ... • Venture capital database -- CB Insights, Venture Deal, Innovation Data from Private Sources Grow Think Research, and Dow Jones VentureSource A number of educational institutions and corporate have venture capital databases that profile venture organizations collect and disseminate innovation data (see capital firms and venture capital-financed firms. Table F-3) Read the entire page →
From page 155... ... academic institutions: licensing activity and income, start-ups, funding, staff size, legal fees, patent applications filed, royalties earned Association of Public and Land- New Metrics to Measure Relationship with industry: agreements, Pilot conducted in spring grant Universities -- Commission Economic Impact of Universities clinical trials, sponsored research, external 2012 with 35 participating on Innovation, Competitiveness, clients institutions and Economic Prosperity Developing the regional and national workforce: student employment, student economic engagement, student entrepreneurship, alumni in workforce Knowledge incubation and acceleration programs: success in knowledge incubation and acceleration programs, ability to attract investments, relationships between clients/ program participants and host university Harvard University Patent Network Dataverse: U.S. Patent coauthorship network 1975 onward Patent Inventor Database PricewaterhouseCoopers and Money Tree Report Venture capital firms and firms receiving Quarterly data, 1st quarter National Venture Capital financing: quarterly and yearly investment 1995 onward Association amounts, number of deals by industry, stage of development, first-time financings, clean technology, and Internet-specific financings CB Insights, Venture Deal, Venture Capital Database Profile of venture capital firms and venture Grow Think Research, Dow Jones capital-financed firms VentureSource SOURCES: COMETS Database, see http://scienceofsciencepolicy.net/? Read the entire page →
From page 156... ... objectives of innovation; development; GERD = gross domestic expenditure on research and development; GOVERD = government intramural expenditure 5. sources of information on innovation; on R&D; HERD = higher education expenditure on research and 6. Read the entire page →
From page 157... ... BERD = business enterprise expenditure on R&D; BOP = balance of payments; GBAORD = government ture on R&D; BOP = balance of payments; GBAORD = government budget appropriations or outlays for research and development; budget appropriations or outlays for research and development; GERD = gross domestic expenditure on research and development; GERD = gross domestic expenditure on research and development; GOVERD = government intramural expenditure on R&D; HERD = GOVERD = government intramural expenditure on R&D; HERD higher education expenditure on research and development; R&D = = higher education expenditure on research and development; research and development; SEH = science, engineering, and health. R&D = research and development; S&E = science and engineering; SOURCES: Adapted from BRDIS, see http://www.nsf.gov/statis- SEH = science, engineering, and health. Read the entire page →
From page 158... ... The popular display is called the Multidimensional scaling (MDS) is a set of data analysis cluster heat map.13 Wilkinson and Friendly (2009) Read the entire page →
From page 159... ... ber of variables that can be gleaned from a single subtopic To analyze STI data, the panel used hierarchical cluster- is large; for example, Eurostat's STI database contains at ing, cluster heat map, and MDS methods. For purposes of least 180 variables on human resources in S&T. Read the entire page →
From page 160... ... . Eurostat, see http://epp.eurostat.ec.europa.eu/portal/page/ portal/science_technology_innovation/data/database European Union, 1995-2013 [November 2012] Read the entire page →
From page 161... ... . Eurostat, see http://epp.eurostat.ec.europa.eu/portal/page/ portal/science_technology_innovation/data/database European Union, 1995-2013 [November 2012] Read the entire page →
From page 162... ... . The standards for collecting data on socioeconomic objectives were introSingle Nation Analysis: International Comparability and duced in the third edition of the Frascati Manual (OECD, Human Capital in Science and Engineering 2002) Read the entire page →
From page 163... ... This classification should be used for R&D expendivarious socioeconomic objective categories, but performer- tures of the governmental, higher education, and private nonbased R&D totals are not. BRDIS does intermittently survey profit sectors; if possible for the business enterprise sector; companies to report their R&D performance for defense and for personnel data in all sectors (OECD, 2007) Read the entire page →
From page 164... ... international organizations. Figures F-10 and F-11 show • Bachelor's and master's degrees in S&E -- Estimates the results of the cluster analysis performed on the data in of recent college graduates in S&E fields were genTable F-6. Read the entire page →
From page 165... ... any SEH master's or doctorate program in the fall of the survey cycle year. Relative to NCSES, other organizations/agencies do • Postdoctorates in S&E -- Postdoctorates are defined not publish a large set of human capital variables, but they as individuals who (1) Read the entire page →
From page 166... ... OECD_ELEC_EXP_SHARE Export market share: electronic industry OECD_GERD_$ Gross domestic expenditure on R&D (millions of current PPP dollars) OECD_INSTR_BALANCE Trade balance: instruments industry (millions of current dollars) Read the entire page →
From page 167... ... UN_GERD_$ Gross domestic expenditure on R&D (millions of current PPP dollars) UN_OSS_FTE Other supporting staff -- full-time equivalent UN_OSS_HC Other supporting staff -- head count UN_R&D_HR_FTE R&D personnel -- full-time equivalent UN_R&D_HR_HC R&D personnel -- head count UN_RES_FTE Researchers -- full-time equivalent UN_RES_HC Researchers -- head count UN_TECH_FTE Technicians -- full-time equivalent UN_TECH_HC Technicians -- head count NOTES: AERO = aerospace industry; APPL = application; BOP = balance of payments; ELEC = electronic industry; EMPL = employment; EU = European Union; EURO = Eurostat; EXP = export market share; FTE = full-time equivalent; GERD = gross domestic expenditure on research and development; HC = head count; HR = human resources; HRST = human resources in science and technology; HTECH = high technology; ICT = information and communication technology; INSTR = instruments industry; KIS = knowledge-intensive services; NONEU = non-European Union; OC = office machinery and computer; OSS = other supporting staff; PCT = Patent Cooperation Treaty; PHARMA = pharmaceutical industry; PPP = purchasing power parity; R&D = research and development; RD = R&D; RES = researchers; SE = science and engineering; TECH = technicians; TRD = trade; UN = United Nations; UNESCO = United Nations Educational, Scientific and Cultural Organization. Read the entire page →
From page 168... ... Even if they fall short in collecting certain variables, fine data in a consistent fashion. similar information can be gleaned from other variables on Figures F-14 to F-16 show a cluster heat map, a hierarthe same topic. Read the entire page →
From page 169... ... National Center for Science and Engineering Statistics -- National Patterns of R&D Resources University and Industry Universities College Nonprofit Industry- FFRDC- Federally- and Colleges- FFRDC- Nonprofit- FFRDC Total R&D Performed Performed Performed Performed Performed Performed Performed Indicator Expenditure R&D R&D R&D R&D R&D R&D R&D Variable Name NCSES_RD_ NCSES_RD_ NCSES_RD_ NCSES_RD_ NCSES_RD_ NCSES_ NCSES_RD_ Year NCSES_RD IND IND_FFRDCS FED UC UC_FFRDCS RD_NP NP_FFRDCS 1981 72292 50425 1385 8605 7085 2484 1784 524 1982 80748 57166 1484 9501 7603 2544 1915 536 1983 89950 63683 1585 10830 8251 2840 2176 585 1984 102244 73061 1739 11916 9154 3243 2511 620 1985 114671 82376 1863 13093 10308 3616 2761 655 1986 120249 85932 1891 13504 11540 3973 2867 541 1987 126360 90160 1995 13588 12807 4287 3013 509 1988 133881 94893 2122 14342 14221 4581 3213 510 1989 141891 99860 2195 15231 15634 4756 3669 547 1990 151993 107404 2323 15671 16939 4894 4126 636 1991 160876 114675 2277 15249 18206 5120 4652 696 1992 165350 116757 2353 15853 19388 5259 4993 748 1993 165730 115435 1965 16531 20495 5289 5267 749 1994 169207 117392 2202 16355 21607 5294 5599 758 1995 183625 129830 2273 16904 22617 5367 5827 808 1996 197346 142371 2297 16585 23718 5395 6209 772 1997 212152 155409 2130 16819 24884 5463 6626 821 1998 226457 167102 2078 17362 26181 5559 7332 843 1999 245007 182090 2039 17851 28176 5652 8207 993 2000 267983 199961 2001 18374 30705 5742 9734 1465 2001 279755 202017 2020 22374 33743 6225 11182 2192 2002 278744 193868 2263 23798 37215 7102 12179 2319 2003 291239 200724 2458 24982 40484 7301 12796 2494 2004 302503 208301 2485 24898 43122 7659 13394 2644 2005 324993 226159 2601 26322 45190 7817 14077 2828 2006 350162 247669 3122 28240 46955 7306 13928 2943 2007 376960 269267 5165 29859 49010 5567 14777 3316 2008 403040 290681 6346 29839 51650 4766 16035 3724 2009 400458 282393 6446 30901 54382 4968 17531 3835 continued Read the entire page →
From page 170... ... 170 CAPTURING CHANGE IN SCIENCE, TECHNOLOGY, AND INNOVATION TABLE F-6 Continued UNESCO GERD Performed by GERD Performed GERD Performed Business Enterprise GERD Performed by by Higher Education by Private Nonprofit Indicator GERD Sector Government Sector Sector Sector Variable Name Year UN_GERD UN_GERD_BEP UN_GERD_GOVP UN_GERD_HEP UN_GERD_PNPP 1996 197792 142371 25504 2378 6209 1997 212709 155409 25801 24873 6626 1998 226934 167102 26320 26171 7341 1999 245548 182090 27041 28165 8252 2000 268121 199961 27685 30693 9782 2001 278239 202017 31358 33731 11133 2002 277066 193868 33647 37202 12349 2003 289736 200724 35703 40470 12839 2004 300293 208301 36567 43128 12297 2005 323047 226159 38526 45197 13164 2006 347809 247669 39573 46983 13584 2007 373185 269267 40472 49021 14425 2008 398194 289105 42225 51163 15701 Read the entire page →
From page 171... ... APPENDIX F 171 TABLE F-6 Continued OECD GERD Performed by Indicator GERD BERD GBAORD GOVERD HERD Nonprofit Sector Variable Name Year OECD_GERD OECD_BERD OECD_GBAORD OECD_GOVERD OECD_HERD OECD_GERD_PNPP 1981 72750 50425 33735 13455 7085 1784 1982 81166 57166 36115 14482 7603 1915 1983 90403 63683 38768 16294 8251 2175 1984 102874 73061 44214 18149 9154 2511 1985 115219 82376 49887 19775 10308 2761 1986 120562 85932 53249 20222 11540 2867 1987 126667 90160 57069 20686 12807 3013 1988 134202 94893 59106 21877 14220 3213 1989 142226 99860 62115 23065 15632 3669 1990 152389 107404 63781 23923 16936 4126 1991 161388 114675 65897 23858 18203 4652 1992 165835 116757 68398 24700 19385 4993 1993 166147 115435 69884 24956 20489 5267 1994 169613 117392 68331 25024 21598 5599 1995 184077 129830 68791 25813 22608 5827 1996 197792 142371 69049 25504 23708 6209 1997 212709 155409 71653 25801 24873 6626 1998 226934 167102 73569 26320 26171 7341 1999 245548 182090 77637 27041 28165 8252 2000 268121 199961 83613 27685 30693 9782 2001 278239 202017 91505 31358 33731 11133 2002 277066 193868 103057 33647 37202 12349 2003 289736 200724 114866 35703 40470 12839 2004 300293 208301 126271 36567 43128 12297 1005 325936 226159 131259 40378 45190 14209 1006 350923 247669 136019 42256 46955 14043 2007 377594 269267 141890 44474 49010 14843 2008 403668 290681 144391 45246 51650 16091 2009 401576 282393 164292 47118 54382 17683 2010 148448 continued Read the entire page →
From page 172... ... NSF 12-321. National Center for Science and Engineering Statistics. Read the entire page →
From page 173... ... NOTES: BEP = business enterprise performed; BERD = business enterprise expenditure on research and development; EURO = Eurostat; FFRDCs = federally funded R&D centers; GBAORD = government budget appropriations or outlays for research and development; GERD = gross domestic expenditure on research and development; GOVERDF-10.eps R02562 Fig = government intramural expenditure on research and development; raster GOVP = government sector performed; HEP = higher education sector performed; HERD = higher education expenditure on research and development; IND = industry; NCSES = National Center for Science and Engineering Statistics; NP = nonprofits; PNPP = private nonprofit performed; RD = research and development; UC = universities and colleges. SOURCES: Panel analysis and National Science Foundation. Read the entire page →
From page 174... ... NOTES: BEP = business enterprise performed; BERD = business enterprise expenditure on research and development; EURO = Eurostat; FFRDCs = federally funded R&D centers; GBAORD = government budget appropriations or outlays for research and development; GERD = gross domestic expenditure on research and development; GOVERDF-11.eps R02562 Fig = government intramural expenditure on research and development; raster GOVP = government sector performed; HEP = higher education sector performed; HERD = higher education expenditure on research and development; IND = industry; NCSES = National Center for Science and Engineering Statistics; NP = nonprofit; PNPP = private nonprofit performed; RD = research and development; UC = universities and colleges. SOURCES: Panel analysis and National Science Foundation (2012) Read the entire page →
From page 175... ... Characteristics of Doctoral Scientists and not possible, but one can obtain head counts of researchers, Engineers in the U.S.; (3) Doctoral Scientists & Engineers principal investigators, and R&D personnel. Read the entire page →
From page 176... ... Students doctorates Research Staff Variable Name NONFACULTY_ Year SE DSE RCG_BACH RCG_MAST DOCREP_SE GRADSTUD POSTDOC RES_STAFF 1990 23823 452113 29565 5255 1991 308500 57000 25060 471212 30865 5478 1992 25785 493522 32747 5482 1993 11615200 513460 348900 73200 26640 504304 34322 6001 1994 27500 504399 36377 6209 1995 12036200 542540 354450 74750 27864 499640 35926 6534 1996 354450 74750 28564 494079 37107 6604 1997 12530700 582080 371500 78500 28650 487208 38481 6722 1998 371500 78500 28773 485627 40086 7100 1999 13050800 626700 379150 80050 27338 493256 40800 7573 2000 379150 80050 27557 493311 43115 7879 2001 656550 468850 123350 27,069 509607 43311 7531 2002 468850 123350 26263 540404 45034 7906 2003 21647000 685300 521833 138967 26916 567121 46728 8473 2004 521833 138967 27993 574463 47240 9075 2005 521833 138967 29768 582226 48555 9527 2006 22630000 711800 467000 102000 31774 597643 49343 10814 2007 467000 102000 33974 619499 50840 10752 2008 10204000 752000 34926 631489 54164 13747 2009 35562 631645 57805 14059 2010 35253 632652 63415 Read the entire page →
From page 177... ... (FTE) Variable Name EURO_RES_ EURO_RES_ Year BACH_SE MAST_SE DOC_SE UN_RES_FTE OECD_RES_FTE BEMPOCC_FTE PERSOCC_FTE 1990 329094 77788 22868 758500 1991 337675 78368 24023 981659 776400 981659 1992 355265 81107 24675 772000 1993 366035 86425 25443 1013772 766600 1013772 1994 373261 91411 26205 757300 1995 378148 94309 26536 1035995 789400 1035995 1996 384674 95313 27243 859300 1997 388482 93485 27232 1159908 1159908 918600 1159908 1998 390618 93918 27278 997700 1999 25933 1260920 1260920 1033700 1260920 2000 398622 95683 25966 1293582 1293582 1041300 1293582 2001 400435 99,528 25453 1320305 1320305 1060000 1320096 2002 415983 99650 24254 1342454 1342454 1075300 1342454 2003 442755 108355 25425 1430551 1430551 1156000 1430551 2004 458658 119296 26573 1384536 1384536 1111300 1384536 2005 470214 120870 28561 1375304 1375304 1097700 1375304 2006 478858 120999 30452 1414341 1414341 1135500 1414341 2007 485772 120278 32588 1412639 1412639 1130500 1412639 2008 496168 126404 33359 2009 505435 134517 33284 NOTES: BACH = bachelor's degrees; BEMPOCC = business enterprise sector; DOCREP = doctorate recipients; DSE = doctoral scientists and engineers; EURO = Eurostat; FTE = full-time equivalent; GRADSTUD = graduate students; MAST = master's degrees; PERSOCC = researchers FTE; POSTDOC = postdoctorates; RCG = recent college graduates; RES = researchers; S&E = science and engineering; SEH = science, engineering, and health; SESTAT = Scientists and Engineers Statistical Data System; UN = United Nations; UNESCO = United Nations Educational, Scientific and Cultural Organization. Read the entire page →
From page 178... ... NOTES: BACH = bachelor's degrees; BEMPOCC = business enterprise sector; DOC = doctorate; DOCREP = doctorate recipients; DSE = doctoral scientists and engineers; EURO = Eurostat; FTE = full-time equivalent; GERD = gross domestic expenditure on research and development; GRADSTUD = graduate students; MAST = master's degrees; PERSOCC = researchers FTE; RCG = recent college graduates; RES = researchers; SE = science and engineering; UN = United Nations. SOURCES: Panel analysis and WebCASPAR, see https://webcaspar.nsf.gov [November 2012] Read the entire page →
From page 179... ... NOTES: BACH = bachelor's degrees; BEMPOCC = business enterprise sector; DOC = doctorate; DOCREP = doctorate recipients; DSE = doctoral scientists and engineers; EURO = Eurostat; FTE = full-time equivalent; GERD = gross domestic expenditure on research and development; GRADSTUD = graduate students; MAST =R02562 Fig F-13.eps master's degrees; PERSOCC = researchers FTE; RCG = recent college graduates; raster RES = researchers; SE = science and engineering; UN = United Nations. SOURCES: Panel analysis and WebCASPAR, see https://webcaspar.nsf.gov [November 2012] Read the entire page →
From page 180... ... United States: National Center for Science and Engineering Statistics 2006-2008: Number of Companies Who Answered Yes to Innovating Logistic/ Mfgr./ Delivery/ Any Good/ Any Production Distribution Support Industry Classification Service Goods Services Process Methods Methods Activities Manufacturing industries, 31–33 27962 22878 12710 27962 22878 8897 16523 Food, 311 1547 1456 455 1547 1183 546 637 Beverage/tobacco products, 312 204 156 72 180 108 72 96 Textile/apparel/leather and allied 1159 915 549 1098 793 427 732 products, 313–16 Wood products, 321 549 366 305 976 793 183 366 Chemicals, 325 2419 1947 1062 2006 1298 1003 1180 Pharmaceuticals/medicines, 3254 675 360 405 630 270 405 480 Other, 325 1760 1584 660 1364 1012 616 704 Plastics/rubber products, 326 1464 1281 671 1708 1464 488 915 Nonmetallic mineral products, 327 702 594 270 756 594 216 432 Primary metals, 331 357 273 231 399 357 84 231 Fabricated metal products, 332 4176 2871 2349 5742 4959 1305 3132 Machinery, 333 3120 2760 1320 2880 2520 600 1800 Computer/electronic products, 334 3150 3010 1260 2310 1820 770 1260 Computers/peripheral equipment, 336 282 156 276 186 114 126 3341 Communications equipment, 3342 408 408 168 264 200 56 136 Semiconductor/other electronic 675 625 250 625 475 175 350 components, 3344 Navigational/measuring/electro- 1534 1508 624 1040 936 416 572 medical/control instruments, 3345 Other, 334 185 175 65 70 50 15 50 Electrical equipment/ appliance/ 1036 1008 308 784 672 336 588 components, 335 Transportation equipment, 336 1512 1350 594 1242 972 270 810 Motor vehicles/trailers/parts, 3361–63 792 726 264 726 627 99 462 Aerospace products/parts, 3364 288 261 171 225 144 63 180 Other, 336 455 403 156 325 195 104 208 Furniture/related products, 337 1092 1014 468 1482 936 390 936 Manufacturing nec, other 31–33 5302 4097 2892 5543 4097 1687 3374 Nonmanufacturing industries, 21–23, 113432 42537 99253 113432 28358 42537 85074 42–81 Information, 51 6930 3696 5775 4620 1617 2310 3696 Software publishers, 5112 3080 2320 2240 2120 760 880 1720 Telecommunications/Internet service 2331 945 2142 1386 441 693 1260 providers/ Web search portals/data processing services, 517–18 Other, 51 1548 516 1419 1290 516 903 774 Finance/insurance, 52 4472 559 4472 4472 559 1118 3913 Real estate/rental/leasing, 53 3430 2940 2450 2940 980 980 2940 Professional/scientific/technical 22568 10416 20832 20832 6944 8680 17360 services, 54 Read the entire page →
From page 181... ... service industries Internet service providers [518111] 58.2 75.4 61.2 3 72.4 14.2 Interurban and rural bus transportation 18.8 43.8 25 6.3 37.5 18.8 [4852] Read the entire page →
From page 182... ... . Statistics Canada, Adapted from CANSIM Table 358-00321, 2 Survey of Innovation, selected service industries, percentage of innovative business units [November 2012] Read the entire page →
From page 183... ... APPENDIX F 183 TABLE F-9 Innovation Statistics from Eurostat, 2006 and 2008 European Union: Eurostat 2006: Number of Enterprises with Type of Innovation Novel Novel Introduced Technological Innovators, Innovators, Organizational/ Industry Classification Innovation Product Only Process Only Marketing Innovation Agriculture, forestry and fishing Mining and quarrying 1402 239 559 652 Manufacturing 158629 35531 42018 76297 Electricity, gas, steam and air conditioning supply 2340 228 1191 1233 Water supply; sewerage, waste management and remediation activities Construction 19202 6528 7809 1751 Wholesale and retail trade; repair of motor vehicles and motorcycles 42233 7413 18292 15994 Transportation and storage Accommodation and food service activities Information and communication Financial and insurance activities Real estate activities Professional, scientific and technical activities Administrative and support service activities Hotels and restaurants 5422 1306 2999 333 Transport, storage and communication 24702 4304 7301 13065 Financial intermediation 8792 1416 2200 4847 Real estate, renting and business activities 22748 4849 6395 6442 2008: Number of Enterprises with Type of Innovation Innovation Technological Innovation Novel Innovators, Novel Innovators, Industry Classification Activity Innovation Only Activity Product Only Process Only Agriculture, forestry and fishing 2799 1223 579 524 862 Mining and quarrying 4072 595 523 181 648 Manufacturing 446126 50774 39981 36255 44047 Electricity, gas, steam and air conditioning supply 4919 541 792 208 682 Water supply; sewerage, waste management and 13891 1785 1719 702 1784 remediation activities Construction 42042 9470 17805 3716 11230 Wholesale and retail trade; repair of motor vehicles 75102 12742 30184 7422 14042 and motorcycles Transportation and storage 72156 6310 12699 2822 8501 Accommodation and food service activities 15062 2492 6628 939 2048 Information and communication 27343 5300 4337 6748 2874 Financial and insurance activities 28580 1655 3065 1948 2483 Real estate activities 2631 361 1198 327 588 Professional, scientific and technical activities 19809 4521 5565 2978 3870 Administrative and support service activities 7909 1563 3557 910 1947 Hotels and restaurants Transport, storage and communication Financial intermediation Real estate, renting and business activities SOURCES: Eurostat, see http://epp.eurostat.ec.europa.eu/portal/page/portal/science_technology_innovation/data/database[November 2012] Read the entire page →
From page 184... ... R02562 Fig F-15.eps NOTES: GDP = gross domestic product; KIS = knowledge-intensive services; RD = research and development; S&E = science and engineer raster ing; SS = social services; VA = global value added. SOURCE: Panel analysis and Science and Engineering Indicators 2012, see http://www.nsf.gov/statistics/seind12/tables.htm [November 2012] Read the entire page →
From page 185... ... R02562 Fig F-16.eps SOURCE: Panel analysis and Science and Engineering Indicators 2012, see http://www.nsf.gov/statistics/seind12/tables.htm [November raster 2012] Read the entire page →

From page 143...

... The third (S&T) , human capital, and innovation to determine the section presents the heat map analysis, citing the literature following:1 on methodological underpinnings of this technique.

Appendix F: Science, Technology, and Innovation Databases and Heat Map Analysis Pages 143-186

Appendix F: Science, Technology, and Innovation Databases and Heat Map Analysis
Pages 143-186