{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T18:10:11Z","timestamp":1754158211147,"version":"3.41.2"},"reference-count":79,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2016,8,1]],"date-time":"2016-08-01T00:00:00Z","timestamp":1470009600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,8,1]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-heading\">Purpose<\/jats:title><jats:p>\u2013 For the studies whose purposes are to evaluate the relationship between industrial characteristics and innovation activities of the enterprises, there are some limitations in the measures of industrial characteristics and using traditional statistical techniques. The purpose of this paper is to investigate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries using grey system theory. The research results show that grey system theory is suitable to investigate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>\u2013 This paper proposes the measures of industrial characteristics and innovation capabilities of high-tech enterprises. First, based on the data on Chinese large and medium-sized high-tech enterprises for the period of 2011-2013, this paper applies grey relational analysis to identify the relatively most important indexes on affecting innovation capabilities of Chinese high-tech enterprises. Second, based on the results from grey relational analysis, this study draws a ranking of the five Chinese high-tech industries in terms of innovation capabilities by grey decision making. Finally, based on the results from grey decision making, this study applies GM (0,<jats:italic>N<\/jats:italic>) model to investigate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>\u2013 The results of this study show that in the evaluation indexes system of innovation capabilities of high-tech enterprises, personnel in R &amp; D institutions, R &amp; D personnel, internal expenditure on R &amp; D, expenditure on new product development, expenditure on technology imports, expenditure on technology renovation, and expenditure on technology assimilation and absorption are relatively most important elements affecting innovation capabilities of Chinese high-tech enterprises. In addition, the two top ranking on innovation capabilities are manufacture of electronic equipment and communication equipment, and manufacture of medicines. At last, the findings indicate that in the measures of industrial characteristics, the three top ranking on affecting innovation capabilities of Chinese high-tech enterprises are R &amp; D intensity, technology absorption intensity of indigenous high-tech enterprises and foreign-invested enterprises size. The opening level is in the middle position. Technology intensity, market concentration, and state-owned enterprises size are the three bottom ranking on affecting innovation capabilities of Chinese high-tech enterprises.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Research limitations\/implications<\/jats:title><jats:p>\u2013 This study has some limitations. First, this study is limited to Chinese high-tech industries. The findings may not be applicable to other countries\u2019 high-tech industries. Further studies with other countries\u2019 high-tech industries could be extended and examined how industrial characteristics affect innovation capabilities of the firms in these industries. Second, the measures of industrial characteristics proposed in this study are somewhat theoretically weak. In the future, the authors will further improve the current analysis, and develop the measures of industrial characteristics. Finally, with the advent of the more data with the consistent statistical coverage released by China\u2019s National Bureau of Statistics during the more continuous years, other methods, such as panel data regression model in econometrics could be used to evaluate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries. By then, the scholars can compare the results from grey system theory and those from panel data regression model in econometrics.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Practical implications<\/jats:title><jats:p>\u2013 Appropriate industrial environment is favorable for Chinese high-tech enterprises to feed their innovation capabilities. Scientific evaluation on the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries is of great significance for Chinese high-tech enterprises in exerting technological catch-up and promoting their competitive advantage. The purposed measures of industrial characteristics and innovation capabilities of high-tech enterprises in this paper, and combined methodology based on grey system theory could be applied to evaluate the relationship between industrial characteristics and innovation capabilities of Chinese high-tech enterprises.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>\u2013 This paper proposes the measures of industrial characteristics and innovation capabilities of high-tech enterprises, and uses grey system theory to evaluate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries.<\/jats:p><\/jats:sec>","DOI":"10.1108\/gs-02-2016-0005","type":"journal-article","created":{"date-parts":[[2016,7,26]],"date-time":"2016-07-26T05:55:36Z","timestamp":1469512536000},"page":"143-168","source":"Crossref","is-referenced-by-count":5,"title":["Applying grey system theory to evaluate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries"],"prefix":"10.1108","volume":"6","author":[{"given":"Wuwei","family":"Li","sequence":"first","affiliation":[]}],"member":"140","reference":[{"key":"key2020121401143076200_b1","doi-asserted-by":"crossref","unstructured":"Acs, Z.J. and Audretsch, D.B. (1987), \u201cInnovation, market structure and firm size\u201d, The Review of Economics and Statistics , Vol. 69 No. 1, pp. 567-575.","DOI":"10.2307\/1935950"},{"key":"key2020121401143076200_b2","unstructured":"Acs, Z.J. and Audretsch, D.B. (1990), Innovation and Small Firms , MIT Press, Cambridge, MA."},{"key":"key2020121401143076200_b3","doi-asserted-by":"crossref","unstructured":"Aghion, P. , Akcigit, U. and Howitt, P. (2013), \u201cWhat do we learn from Schumpeterian growth theory?\u201d, NBER Working Paper Series No. 18824, Cambridge, MA.","DOI":"10.3386\/w18824"},{"key":"key2020121401143076200_b4","unstructured":"Audretsch, D.B. (1995), \u201cInnovation, growth and survival\u201d, The Review of Economics and Statistics , Vol. 13 No. 95, pp. 441-457."},{"key":"key2020121401143076200_b5","doi-asserted-by":"crossref","unstructured":"Bhattacharya, M. and Bloch, H. (2004), \u201cDeterminants of innovation\u201d, Small Business Economics , Vol. 22 No. 2, pp. 155-162.","DOI":"10.1023\/B:SBEJ.0000014453.94445.de"},{"key":"key2020121401143076200_b11","unstructured":"Cao, Y. , Su, F.J. and Zhao, L. (2010), \u201cTechnological innovation resources input and output performance: an empirical analysis based on the panel data of MIETE in China\u201d, Science of Science and Management of S&T , Vol. 31 No. 12, pp. 29-35 (in Chinese)."},{"key":"key2020121401143076200_b8","doi-asserted-by":"crossref","unstructured":"Chen, H.Z. , Fan, K.F. and Fang, Z.G. (2013), \u201cResearch on complex product cost estimation based on the N-GM (0, N) model\u201d, Grey Systems: Theory and Application , Vol. 3 No. 1, pp. 46-59.","DOI":"10.1108\/20439371311293697"},{"key":"key2020121401143076200_b7","doi-asserted-by":"crossref","unstructured":"Chun, D. , Chung, Y. and Bang, S. (2015), \u201cImpact of firm size and industry type on R & D efficiency throughout innovation and commercialisation stages: evidence from Korean manufacturing firms\u201d, Technology Analysis & Strategic Management , Vol. 27 No. 8, pp. 895-909.","DOI":"10.1080\/09537325.2015.1024645"},{"key":"key2020121401143076200_b9","doi-asserted-by":"crossref","unstructured":"Cohen, W.M. , Levin, R.C. and Mowery, D.C. (1987), \u201cFirm size and R & D intensity: a re-examination\u201d, The Journal of Industrial Economics , Vol. 35 No. 4, pp. 543-563.","DOI":"10.2307\/2098587"},{"key":"key2020121401143076200_b12","doi-asserted-by":"crossref","unstructured":"Conte, A. and Vivarelli, M. (2014), \u201cSucceeding in innovation: key insights on the role of R & D and technological acquisition drawn from company data\u201d, Empirical Economics , Vol. 47 No. 4, pp. 1317-1340.","DOI":"10.1007\/s00181-013-0779-1"},{"key":"key2020121401143076200_b6","doi-asserted-by":"crossref","unstructured":"Correa, J.A. (2012), \u201cInnovation and competition: an unstable relationship\u201d, Journal of Applied Econometrics , Vol. 27 No. 1, pp. 160-166.","DOI":"10.1002\/jae.1262"},{"key":"key2020121401143076200_b10","doi-asserted-by":"crossref","unstructured":"Correa, J.A. and Ornaghi, C. (2014), \u201cCompetition and innovation: new evidence from US patent and productivity data\u201d, Journal of Industrial Economics , Vol. 62 No. 2, pp. 258-285.","DOI":"10.1111\/joie.12050"},{"key":"key2020121401143076200_b16","doi-asserted-by":"crossref","unstructured":"De Bondt, R. and Vandekerckhove, J. (2012), \u201cReflections on the relation between competition and innovation\u201d, Journal of Industry, Competition & Trade , Vol. 12 No. 1, pp. 7-19.","DOI":"10.1007\/s10842-010-0084-z"},{"key":"key2020121401143076200_b14","doi-asserted-by":"crossref","unstructured":"Deng, J.L. (1982), \u201cControl problems of grey systems\u201d, Systems and Control Letters , Vol. 1 No. 5, pp. 288-294.","DOI":"10.1016\/S0167-6911(82)80025-X"},{"key":"key2020121401143076200_b15","unstructured":"Deng, J.L. (1989), \u201cIntroduction of grey system\u201d, Journal of Grey System , Vol. 1 No. 1, pp. 1-24."},{"key":"key2020121401143076200_b13","doi-asserted-by":"crossref","unstructured":"Doloreux, D. (2015), \u201cUse of internal and external sources of knowledge and innovation in the Canadian wine industry\u201d, Canadian Journal of Administrative Sciences , Vol. 32 No. 2, pp. 102-112.","DOI":"10.1002\/cjas.1312"},{"key":"key2020121401143076200_b18","doi-asserted-by":"crossref","unstructured":"Fang, Z.G. , Wang, Q.F. and Wei, H.W. (2012), \u201cFunctional analysis model for selecting leading industry under grey information\u201d, Kybernetes , Vol. 41 Nos 7\/8, pp. 851-859.","DOI":"10.1108\/03684921211257702"},{"key":"key2020121401143076200_b17","doi-asserted-by":"crossref","unstructured":"Felin, T. and Hesterly, W.S. (2007), \u201cThe knowledge based view, nested heterogeneity, and new value creation: philosophical considerations on the locus of knowledge\u201d, Academy of Management Review , Vol. 32 No. 1, pp. 195-218.","DOI":"10.5465\/amr.2007.23464020"},{"key":"key2020121401143076200_b23","doi-asserted-by":"crossref","unstructured":"Galindo, M.\u00c1. and M\u00e9ndez, M.T. (2014), \u201cEntrepreneurship, economic growth, and innovation: are feedback effects at work?\u201d, Journal of Business Research , Vol. 67 No. 5, pp. 825-829.","DOI":"10.1016\/j.jbusres.2013.11.052"},{"key":"key2020121401143076200_b22","doi-asserted-by":"crossref","unstructured":"Gallagher, D.R. , Ignatieva, K. and McCulloch, J. (2014), \u201cIndustry concentration, excess returns and innovation in Australia\u201d, Accounting & Finance , Vol. 55 No. 2, pp. 443-466.","DOI":"10.1111\/acfi.12074"},{"key":"key2020121401143076200_b19","doi-asserted-by":"crossref","unstructured":"Geroski, P.A. (1990), \u201cInnovation, technological opportunity, and market structure\u201d, Oxford Economic Papers , Vol. 42 No. 3, pp. 586-602.","DOI":"10.1093\/oxfordjournals.oep.a041965"},{"key":"key2020121401143076200_b20","doi-asserted-by":"crossref","unstructured":"Gilbert, R. (2006), Looking for Mr Schumpeter: Where Are We in the Competition-Innovation Debate? MIT Press, Cambridge, MA.","DOI":"10.1086\/ipe.6.25056183"},{"key":"key2020121401143076200_b21","doi-asserted-by":"crossref","unstructured":"Guo, B. , Gao, J. and Chen, X.L. 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(2013), \u201cCompetition and innovation: the inverted-U relationship revisited\u201d, The Review of Economics and Statistics , Vol. 95 No. 5, pp. 1653-1668.","DOI":"10.1162\/REST_a_00364"},{"key":"key2020121401143076200_b27","unstructured":"Hermansen, M.R. (2011), \u201cFirm size and innovation: an empirical study of Danish firms\u201d, master thesis, Aarhus University, Aarhus."},{"key":"key2020121401143076200_b28","doi-asserted-by":"crossref","unstructured":"Hohberger, J. , Almeidab, P. and Paradac, P. (2015), \u201cThe direction of firm innovation: the contrasting roles of strategic alliances and individual scientific collaborations\u201d, Research Policy , Vol. 44 No. 6, pp. 1473-1487.","DOI":"10.1016\/j.respol.2015.04.009"},{"key":"key2020121401143076200_b31","unstructured":"Hou, R.X. and Guan, J.C. 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(2007), \u201cApplying grey relational analysis and grey decision-making to evaluate the relationship between company attributes and its financial performance: a case study of venture capital enterprises in Taiwan\u201d, Decision Support Systems , Vol. 43 No. 3, pp. 842-852.","DOI":"10.1016\/j.dss.2006.12.012"},{"key":"key2020121401143076200_b41","doi-asserted-by":"crossref","unstructured":"Lee, Y.T. (2011), \u201cStructure activity relationship analysis of phenolic acid phenethyl esters on oral and human breast cancers: the grey GM(0,N) approach\u201d, Computers in Biology and Medicine , Vol. 41 No. 7, pp. 506-511.","DOI":"10.1016\/j.compbiomed.2011.04.016"},{"key":"key2020121401143076200_b47","doi-asserted-by":"crossref","unstructured":"Lee, Y.T. , You, M.L. and Wen, K.L. (2009), \u201cApply GM(h,N) to cluster the influence factor in heart rate variability index evaluation using five-minute electrocardiogram\u201d, Proceedings of IEEE GSIS Conference, pp. 788-791.","DOI":"10.1109\/GSIS.2009.5408066"},{"key":"key2020121401143076200_b45","unstructured":"Levin, R.C. , Cohen, W.M. and Mowery, D.C. (1985), \u201cR & D appropriability, opportunity, and market structure: new evidence on some Schumpeterian hypotheses\u201d, American Economic Review , Vol. 75 No. 2, pp. 20-24."},{"key":"key2020121401143076200_b48","doi-asserted-by":"crossref","unstructured":"Li, H. and Suen, C. (2016), \u201cA novel non-local means image denoising method based on grey theory\u201d, Pattern Recognition , Vol. 49 No. 1, pp. 237-248.","DOI":"10.1016\/j.patcog.2015.05.028"},{"key":"key2020121401143076200_b49","doi-asserted-by":"crossref","unstructured":"Li, W. and Wu, G. (2010), \u201cIn-house R & D, technology purchase and innovation: empirical evidences from Chinese high-tech industries, 1995-2004\u201d, International Journal of Technology Management , Vol. 51 Nos 2\/4, pp. 2-34.","DOI":"10.1504\/IJTM.2010.033803"},{"key":"key2020121401143076200_b43","unstructured":"Li, W.W. (2012), \u201cThe effects of foreign R & D on the innovation performance of Chinese indigenous enterprises: a heterogeneity of analysis based on the east, central and west regions in China\u201d, Journal of Intelligence , Vol. 31 No. 10, pp. 189-194."},{"key":"key2020121401143076200_b42","doi-asserted-by":"crossref","unstructured":"Li, X.B. (2011), \u201cSources of external technology, absorptive capability, and innovation capability in Chinese state-owned high-tech enterprises\u201d, World Development , Vol. 39 No. 7, pp. 1240-1248.","DOI":"10.1016\/j.worlddev.2010.05.011"},{"key":"key2020121401143076200_b50","doi-asserted-by":"crossref","unstructured":"Lin, C. , Wu, Y. and Chang, C. (2012), \u201cThe alliance innovation performance of R & D alliances: the absorptive capacity perspective\u201d, Technovation , Vol. 32 No. 2, pp. 282-292.","DOI":"10.1016\/j.technovation.2012.01.004"},{"key":"key2020121401143076200_b51","doi-asserted-by":"crossref","unstructured":"Liu, S.F. , Yang, Y.J. and Xie, N.M. (2013), \u201cA summary on the research of GRA models\u201d, Grey Systems: Theory and Application , Vol. 3 No. 1, pp. 7-15.","DOI":"10.1108\/20439371311293651"},{"key":"key2020121401143076200_b44","doi-asserted-by":"crossref","unstructured":"Liu, X.H. and Buck, T. 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(2011), \u201cScalability versus flexibility: firm size and R & D in Indian industry\u201d, Journal of Technology Transfer , Vol. 36 No. 1, pp. 101-116.","DOI":"10.1007\/s10961-009-9147-x"},{"key":"key2020121401143076200_b53","doi-asserted-by":"crossref","unstructured":"Mohnen, P. , Mairesse, J. and Dagenais, M. (2006), \u201cInnovativity: a comparison across seven European countries\u201d, Economics of Innovation and New Technology , Vol. 15 Nos 4\/5, pp. 391-413.","DOI":"10.1080\/10438590500512950"},{"key":"key2020121401143076200_b54","unstructured":"OECD, Eurostat (2005), Oslo Manual: Proposal Guideline for Collecting and Interpreting Technological Innovation Data , OECD, Paris."},{"key":"key2020121401143076200_b56","doi-asserted-by":"crossref","unstructured":"Palacios, D. , Gil, I. and Garrigos, F. (2009), \u201cThe impact of knowledge management on innovation and entrepreneurship in the biotechnology and telecommunications industries\u201d, Small Business Economics , Vol. 32 No. 3, pp. 291-301.","DOI":"10.1007\/s11187-008-9146-6"},{"key":"key2020121401143076200_b55","doi-asserted-by":"crossref","unstructured":"Porter, M.E. (1990), The Comprehensive Advantage of Nations , Free Press, New York, NY.","DOI":"10.1007\/978-1-349-11336-1"},{"key":"key2020121401143076200_b57","doi-asserted-by":"crossref","unstructured":"Romer, P.M. (1990), \u201cEndogenous technological change\u201d, Journal of Political Economy , Vol. 98 No. 5, pp. 71-103.","DOI":"10.1086\/261725"},{"key":"key2020121401143076200_b58","doi-asserted-by":"crossref","unstructured":"Rouse, M.J. and Daellenbach, U.S. (2002), \u201cMore thinking on research methods for the resource-based perspective\u201d, Strategic Management Journal , Vol. 23 No. 3, pp. 963-967.","DOI":"10.1002\/smj.256"},{"key":"key2020121401143076200_b64","doi-asserted-by":"crossref","unstructured":"Scarlat, E. and Delcea, C. (2011), \u201cComplete analysis of bankruptcy syndrome using grey systems theory\u201d, Grey Systems: Theory and Application , Vol. 1 No. 1, pp. 19-32.","DOI":"10.1108\/20439371111106704"},{"key":"key2020121401143076200_b61","doi-asserted-by":"crossref","unstructured":"Scherer, F.M. (1965a), \u201cSize of firm, oligopoly and research: a comment\u201d, Canadian Journal of Economics & Politicalence , Vol. 3 No. 2, pp. 256-266.","DOI":"10.2307\/140068"},{"key":"key2020121401143076200_b62","unstructured":"Scherer, F.M. (1965b), \u201cFirm size, market structure, opportunity, and the output of patented inventions\u201d, American Economic Review , Vol. 55 No. 1, pp. 1097-1125."},{"key":"key2020121401143076200_b59","unstructured":"Schumpeter, J.A. (1934), The Economic Theory of Development , Harvard University Press, Boston, MA."},{"key":"key2020121401143076200_b60","unstructured":"Schumpeter, J.A. (1942), Capitalism, Socialism and Democracy , Harper and Brothers, New York, NY."},{"key":"key2020121401143076200_b63","unstructured":"Scott, J.T. (1984), Firm Versus Industry Variability in R&D Intensity , University of Chicago Press, Chicago, IL."},{"key":"key2020121401143076200_b67","doi-asserted-by":"crossref","unstructured":"Shang, Q.Y. , Poon, P.H. and Yue, Q.T. (2012), \u201cThe role of regional knowledge spillovers on China\u2019s innovation\u201d, China Economic Review , Vol. 23 No. 8, pp. 1164-1175.","DOI":"10.1016\/j.chieco.2012.08.004"},{"key":"key2020121401143076200_b66","doi-asserted-by":"crossref","unstructured":"Song, C. and Oh, W. (2015), \u201cDeterminants of innovation in energy intensive industry and implications for energy policy\u201d, Energy Policy , Vol. 81 No. 6, pp. 122-130.","DOI":"10.1016\/j.enpol.2015.02.022"},{"key":"key2020121401143076200_b65","doi-asserted-by":"crossref","unstructured":"Sun, Y. and Du, D. (2010), \u201cDeterminants of industrial innovation in China: evidence from its recent economic census\u201d, Technovation , Vol. 30 Nos 9\/10, pp. 540-550.","DOI":"10.1016\/j.technovation.2010.05.003"},{"key":"key2020121401143076200_b68","doi-asserted-by":"crossref","unstructured":"Tabacco, G.A. (2015), \u201cDoes competition spur innovation? 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