Mapping the functionality of China's regional innovation systems: A structural approach

China Economic Review

Volumn 22, Issue 1, 2011, Pages 11-27

  Chen, Kaihua ^a   Guan, Jiancheng ^b  

^a BEIHANG UNIVERSITY   (China)

^b FUDAN UNIVERSITY   (China)

Author keywords

China's regional innovation systems; Extended idea production function; Functionality; Partial least squares; Structural approach

Indexed keywords

EID: 79951672955     PISSN: 1043951X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chieco.2010.08.002     Document Type: Article

References (64)

1. Arundel A., Kabla I. What percentage of innovations are patented? Experimental estimates in European firms. Research Policy 1998, 27(2):127-142.
2. Asheim B., Isaksen A. Location, agglomeration and innovation: Toward regional innovation systems in Norway?. European Planning Studies 1997, 5(3):299-330.
3. Asparouhov T., Muthén B. Exploratory structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal 2009, 16(3):397-438.
4. Atuahene-Gima K., Evangelista F. Cross-functional influence in new product development: An exploratory study of marketing and R&D perspectives. Management Science 2000, 46(10):1269-1284.
5. Bagozzi R.P., Yi Y. On the evaluation of structural equation models. Academy of Marketing Science 1988, 16(1):74-94.
6. Brown M.G., Svenson R.A. Measuring R&D productivity. Research Technology Management 1998, 41(6):30-35.
7. Browne M.W. An overview of analytic rotation in exploratory dynamic factor analysis. Multivariate Behavioral Research 2001, 36(1):111-150.
8. Chang Y.C., Chen M.H. Comparing approaches to systems of innovation: The knowledge perspective. Technology in Society 2004, 26(4):17-37.
9. Chen, K. H., & Guan, J. C., in press. Measuring China's regional innovation systems: An application of a relational network DEA. Regional studies. doi:10.1080/00343404.2010.497479.
10. Cheung K.-Y., Lin P. Spillover effects of FDI on innovation in China: Evidence from the provincial data. China Economic Review 2004, 15(1):25-44.
11. Chin W.W., Marcolin B.L., Newsted P.R. A partial leas squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research 2003, 14(2):189-217.
12. Cooke P., Uranga M.G., Etxebarria G. Regional systems of innovation: an evolutionary perspective. Environment and Planning A 1998, 30(9):1563-1584.
13. Doloreux D. What we should know about regional systems of innovation. Technology in Society 2002, 24(3):243-263.
14. Doloreux D., Parto S. Regional innovation systems: Current discourse and unresolved issues. Technology in Society 2005, 27(2):133-153.
15. Edquist C. Systems of innovation approaches - Their emergence and characteristics. Systems of innovation: Technologies, institutions and organizations 1997, Pinter/Cassell, London. C. Edquist (Ed.).
16. Edquist C. The systems of innovation approach and innovation policy. An account of the state of the art. Lead paper presented at the DRUID Conference 2001.
17. Edquist C., Hommen L. Systems of innovation: Theory and policy for the demand side. Technology in Society 1999, 21(1):63-79.
18. Faber J., Hesen A.B. Innovation capabilities of European nations: Cross-national analyses of patents and sales of product innovations. Research Policy 2004, 33(3):193-207.
19. Fagerberg J., Srholec M. National innovation systems, capabilities and economic development. Research Policy 2008, 37(9):1417-1435.
20. Freeman C. Technology policy and economic performance: Lesson from Japan 1987, Frances Pinter, London.
21. Fritsch M. Interregional differences in R&D activities - An empirical investigation. European Planning Studies 2001, 8(4):409-427.
22. Fritsch M. Measuring the quality of regional innovation systems: A knowledge production function approach. International Regional Science Review 2002, 25(1):86-101.
23. Fritsch M., Slavtchev V. What determines the efficiency of regional innovation systems?. Jena Economic Research Papers No. 2007-06 2007.
24. Fritsch M., Slavtchev V. How does industry specialization affect the efficiency of regional innovation systems?. The Annals of Regional Science 2010, 45(1):87-108.
25. Furman J.L., Porter M.E., Stern S. The determinants of national innovative capacity. Research Policy 2002, 31(6):899-933.
26. Gerbing D.W., Anderson J.C. An updated paradigm for scale development incorporating unidimensionality and its assessment. Journal of Marketing Research 1988, 25(2):186-192.
27. Goodhue D., Lewis W., Thompson R. Statistical power in analyzing interaction effects: Questioning the advantage of PLS with product indicators. Information Systems Research 2007, 18(2):211-227.
28. Griliches Z. Patent statistics as economic indicators: A survey. Journal of Economic Literature 1990, 28(4):1661-1707.
29. Guan J.C., Chen K.H. Modeling macro-R&D production frontier performance: An application to Chinese province-level R&D. Scientometrics 2010, 82(1):165-173.
30. Guan J.C., Chen K.H. Measuring the innovation production process: A cross-region empirical study of China's high-tech innovations. Technovation 2010, 30(5-6):348-358.
31. Guan J.C., Ma N. Structural equation model with PLS path modeling for an integrated system of publicly funded basic research. Scientometrics 2009, 81(3):683-698.
32. Multivariate data analysis 1998, Upper Saddle River, NJ, Prentice-Hall. 5th Edition. J.F. Hair, R.E. Anderson, R.L. Tatham, W.C. Black (Eds.).
33. Hekkert M.P., Negro S.O. Functions of innovation systems as a framework to understand sustainable technological change: Empirical evidence for earlier claims. Technological Forecasting and Social Change 2009, 76(4):584-594.
34. Hekkert M.P., Suurs R.A.A., Negro S.O., Kuhlmann S., Smits R.E.H.M. Functions of innovation systems: A new approach for analysing technological change. Technological Forecasting and Social Change 2007, 74(4):413-432.
35. Hu M.C., Mathews J.A. National innovative capacity in East Asia. Research Policy 2005, 34(9):1322-1349.
36. Hu M.C., Mathews J.A. China's national innovative capacity. Research Policy 2008, 37(9):1465-1479.
37. Im G., Rai A. Knowledge sharing ambidexterity in long-term interorganizational relationships. Management Science 2008, 54(7):1281-1296.
38. Jagpal H.S. Multicollinearity in structural equation models with unobservable variables. Journal of Marketing Research 1982, 19(4):431-439.
39. James G.A., Kelley M.E., Craddock R.C., Holtzheimer P.E., Dunlop B., Nemeroff C., Mayberg H.S., Hu X. Exploratory structural equation modeling of resting-state fMRI: Applicability of group models to individual subjects. Neuroimage 2009, 45(3):778-787.
40. Johnson A. Functions in innovation system approaches 1998, Department of Industrial Dynamics, Chalmers University of Technology, Mimeo.
41. Johnson A., Jacobsson S. The emergence of a growth industry: A comparative analysis of the German, Dutch and Swedish wind turbine industries. Change, Transformation and Development 2003, Physica-Verlag, New York. J.S. Metcalfe, U. Cantner (Eds.).
42. Kline S.J., Rosenberg N. An overview of innovation. The positive sum strategy - Harnessing technology for economic growth 1986, National Academy Press, Washington, D.C. R. Landau, N. Rosenberg (Eds.).
43. Koufteros X.A. Testing a model of pull production: A paradigm for manufacturing research using structural equation modeling. Journal of Operations Management 1999, 17(4):467-488.
44. La peyre M.K., Mendelssohn I.A., Reams M.A., Templet P.H., Grace J.B. Identifying determinants of nations' wetland management programs using structural equation modeling. An Exploratory Analysis Environmental Management 2001, 27(6):859-868.
45. Li X. China's regional innovation capacity in transition: An empirical approach. Research Policy 2009, 38(2):338-357.
46. Liu X., White S. Comparing innovation systems: A framework and application to China's transitional context. Research Policy 2001, 30(7):1091-1114.
47. Marsh H.W., Muthén B., Asparouhov A., Lüdtke O., Robitzsch A., Morin A.J.S., Trautwein U. Exploratory structural equation modeling, integrating CFA and EFA: Application to students' evaluations of university teaching. Structural equation modeling. A Multidisciplinary Journal 2009, 16(3):439-476.
48. Nelson R.R. National innovation systems: A comparative analysis 1993, Oxford University Press, New York.
49. OECD OECD reviews of innovation policy: China 2008, OECD Publishing, Paris.
50. OECD and EUROSTAT Oslo manual: Guidelines for collecting and interpreting innovation data 2005, OECD Publishing, Paris. 3rd Edition.
51. Pakes A., Griliches Z. Patents and R&D at the firm level: A first report. Economics Letters 1980, 5(4):377-381.
52. Ringle C.M., Wende S., Will A. SmartPLS-VERSION 2.0 2005, University at Hamburg, Hamburg.
53. Romer P. Endogenous technological change. Journal of Political Economy 1990, 98(5):S71-S102.
54. Schaaper M. Measuring China's innovation system: National specificities and international comparisons 2009, OECD Science, Technology and Industry Working Papers.
55. Sun Y. Determinants of foreign patents in China. World Patent Information 2003, 25(1):27-37.
56. Tenenhaus M., Vinzi V.E., Chatelin Y.M., Lauro C. PLS path modeling. Computational Statistics and Data Analysis 2005, 48(1):159-205.
57. Tödtling F., Trippl M. One size fits all?: Towards a differentiated regional innovation policy approach. Research Policy 2005, 34(8):1203-1219.
58. Umetrics A.B. User's guide to SIMCA-P, SIMCA-P+, Version 10.0. Sweden: Umeå 2002.
59. Wang E.C., Huang W.C. Relative efficiency of R&D activities: A cross-country study accounting for environmental factors in the DEA approach. Research Policy 2007, 36(2):260-273.
60. Werts C.E., Linn R.L., Jöreskog K.G. Interclass reliability estimates: Testing structural assumptions. Education and Psychological Measurement 1974, 34(1):25-33.
61. Westlund A.H., Källström M., Parmler J. SEM-based customer satisfaction measurement: On multicollinearity and robust PLS estimation. Total Quality Management & Business Excellence 2008, 19(7):855-869.
62. Wold H. Partial least squares 1985, Encyclopedia of statistical sciences. New York, John Wiley and Sons. N.L. Johnson, S. Kotz (Eds.).
63. Wold S., Ruhe A., Wold H., Dunn W.J. The collinearity problem in linear regression. The partial least squares (PLS) approach to generalized inverses. SIAM Journal on Scientific and Statistical Computing 1984, 5(3):735-743.
64. Wold S., Sjöström M., Eriksson L. PLS-regression: A basic tool of chemometrics. Chemometrics and Intelligent Laboratory Systems 2001, 58(2):109-130.