- P-ISSN2287-1608
- E-ISSN2287-1616
- KCI
ISSN : 2287-1608
An Empirical Investigation of Triple Helix and National Innovation System Dynamics in ASEAN-5 Economies
Kasim Bin HJ. MD. Mansur (University Malaysia Sabah)
Rini Suryati Sulong (University Malaysia Sabah)
Abstract
This paper exhibits the concept of Triple Helix model to explain and link university-industry-government (Triple Helix) connections to national innovation systems theory. The driver of this paper is to test the dynamics of Triple Helix concept under national innovation system in the Association of South East Asian Countries (ASEAN)-5 economies. Panel econometric analysis with cross-sectional dependence (CD) test is applied to investigate the relationship amongst Triple Helix variables. The empirical analysis employs innovation indicators of five founding ASEAN countries namely Malaysia, Indonesia, Singapore, the Philippines and Thailand for the period of 2000-2015 from an existing WDI and WCY database. Econometric results support the two research questions of this study; firstly, there is a significant relationship between innovation outcome and its key drivers under Triple Helix context of National Innovation System in ASEAN-5 economies; secondly, the extent of the relationship among government R&D expenditure with high-tech productions are positive and significant while new ideas coming from universities as scientific publications and high-tech production have positive relationship but not significant yet in ASEAN-5 countries. Overall labor productivity is positive and significant with innovation outcomes in ASEAN-5.
- keywords
- ASEAN-5, national innovation systems, Triple Helix model, university- government-industry, Pooled OLS
Reference
Adhikari, D. and Chen, Y. (2012) Energy consumption and economic growth: A panel cointegration analysis for developing countries, Review of Economics & Finance, 3(2), 68-80.
Afzal, M.N.I. and Gow, J. (2016) Electricity consumption and information and communication technology in the next eleven emerging economies, International Journal of Energy Economics and Policy, 6(3), 1-8.
Afzal, M.N.I. (2014) An empirical investigation of the national innovation system (NIS) using data envelopment analysis (DEA) and the TOBIT model, International Review of Applied Economics, 28(4), 507-523.
Afzal, M.N.I. (2013) Are science valleys and clusters panacea for a knowledge economy? An investigation on regional innovation system (RIS) - concepts, theory and empirical analysis, Asian Research Policy, 4(2), 114-125.
Afzal, M.N.I. and Lawrey, R. (2012) A measurement framework for knowledge-based economy (KBE) efficiency in ASEAN: a data envelopment (DEA) window approach, International Journal of Business and Management, 7(18), 57-68.
Asteriou, D. and Hall, S.G. (2007) Applied econometrics: A Modern Approach Using EViews and Microfit (Revised ed.), New York: Palgrave Macmillan.
Bai, J. and Ng, S. (2004) A panic attack on unit roots and cointegration, Econometrica, 72(4), 191-221.
Bianchini, S., Lissoni, F., Pezzoni, M. and Zirullia, L. (2016) The economics of research, consulting, and teaching quality: theory and evidence from a technical university, Economics of Innovation and New Technology 25(7), 668-691.
Blau, P.M. and Schoenherr, R. (1971) The structure of organizations, New York, NY: Basic Books.
Cai, Y. (2011) Factors affecting the efficiency of the BRICSs’ national innovation systems: A comparative study based on DEA and Panel Data analysis. discussion paper, No. 2011-52. http://www.economics-ejournal.org/economics/discussionpapers/2011-52.
Cetin, M., Gunaydın, D., Cavlak, H. and Topcu, B. (2014) Unemployment and its impact on economic growth in the European Union: An evidence from panel data analysis, Regional Economic Integration and the Global Financial System, 12(1), 1-11.
Chuah, F., Ting, H., Run, E.C., and Cheah, J.H. (2016) Reconsidering what entrepreneurial intention implies: The evidence from Malaysian University students, International Journal of Business and Social Science, 7(9), 85-98.
Dickey, D. and W. Fuller, W. (1981) Likelihood ratio statistics for autoregressive time series with a unit root, Econometrica, 49(1), 1057-1072.
Din, B.H., Anuar, A.R. and Usman, M. (2016) The effectiveness of the entrepreneurship education program in upgrading entrepreneurial skills among public university students, Procedia-Social and Behavioral Sciences, 224(1), 117-123.
Driscoll, J.C. and A.C. Kraay. (1998) Consistent covariance matrix estimation with spatially dependent panel data, Review of Economics and Statistics 80(1), 549-560.
Engle, R.F. and Granger, C.W.J. (1987) Cointegration and error correction: Representation, estimation and testing, Econometrica, 55(1), 251-276.
Granger, C.W.J. (1969) Investigating causal relations by econometric models and cross-spectral methods, Econometrica, 35(1), 424-438.
Hassan, R.A. and Bakri, M.Z. (2016) Self-efficacy and self-independence in promoting self-employment intention among university students, Journal of Research in Business, Economics and Management, 6(2), 888-893.
Im, K.S., Pesaran, M.H. and Shin, Y. (2003) Testing for unit roots in heterogeneous panels, Journal of Econometrics, 115(1), 53-74.
Jebli, M.B. and Youssef, S.B. (2015) Output, renewable and non-renewable energy consumption and international trade: Evidence from a panel of 69 countries, Renewable Energy, 83(1), 799-808.
Johansen, S. (1991) Estimation and hypothesis testing of cointegrating vectors in Gaussian vector autoregression models, Econometrica, 59(1), 1551-1580.
Kao, C. (1999) Spurious regression and residual-based tests for cointegration in panel data, Journal of Econometrics, 90(1), 1-44.
Kao, C. and Chiang, M.H. (2000) On the estimation and inference of a cointegrated regression in panel data, Advances in Econometrics, 15(1), 179-222.
Kök, R., Ispir, M.S. and Arı, A. (2010) Rich requirements of the country and the least developed countries fund transfer mechanism: An essay on universal distribution parameter, 2nd International Conference on Economics, Turkey Economic Association, Cyprus.
Lee, C.C. (2005) Energy consumption and GDP in developing countries: A cointegrated panel analysis, Energy Economics, 27 (3), 415-427.
Leydesdorff, L. and Smith, L.H. (2014) The Triple Helix in the context of global change: dynamics and challenges, Prometheus 32(4), 321-336.
Lundvall, B. (1992) National Systems of Innovation: Towards a Theory of Innovation and Interactive Learning, London: Pinter.
Lundvall, B. (1993) User-producer relationships, national systems of innovation and internationalization, In: Technology and the Wealth of Nations, Foray, D and Freeman, C (eds), London: Pinter.
Lundvall, B. (1998) Why study national systems and national styles of innovation? Technology Analysis and Strategic Management, 10(4), 407-422.
Lundvall, B. (1999) National business systems and national systems of innovation, special issue on business systems, International Studies of Management and Organization, 29(2), 60-77.
Lundvall, B. (2003) National Innovation System: History and Theory, Aalborg University, Aalborg, Denmark.
Mark, N.C. and Sul, D. (2003) Cointegration vector estimation by panel DOLS and long-run money demand, Oxford Bulletin of Economics and Statistics, 65(5), 655-680.
Patel, P and Pavitt, K. (1994) National innovation systems: why they are important, and how they might be measured and compared, Economics of Innovation and New Technology, 3(1), 77-95.
Pedroni, P. (1999) Critical values for cointegration tests in heterogeneous panels with multiple regressors, Oxford Bulletin of Economics and Statistics, 61(1), 653-670.
Pedroni, P. (2000) Fully modifed OLS for heterogeneous cointegrated panel, Advances in Econometrics, 15(1), 93-130.
Pedroni, P. (2004) Panel cointegration: asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis, Econometric Theory, 20(1), 597-625.
Pesaran, M. (2004) General diagnostic tests for cross section dependence in panels, Cambridge Working Papers in Economics, No. 0435, Faculty of Economics, University of Cambridge.
Petersen, M.A. (2007) Estimating standard errors in finance panel data sets: comparing approaches, Working Paper, Kellogg School of Management, Northwestern University.
Phillips, P.C. and Ouliaris, S. (1990) Asymptotic properties of residual based test for cointegration. Econometrica, 58(1), 165-193.
Phillips, P.C.B. and Moon, H.R. (1999) Linear regression limit theory for nonstationary panel data, Econometrica, 67(1), 1057-1111.
Saikkonen, P. (1991) Asymptotically efficient estimation of cointegration regressions, Econometric Theory, 7(1), 1-21.
Schumpeter, J.R. (1942) Capitalism, Socialism and Democracy, New York: Harper & Row.
Stock, J.H. and Watson, M.W. (1993) A simple estimator of cointegrating vectors in higher order integrated systems, Econometrica, 61(1), 783-820.
Westerlund, J. (2007) Testing for error correction in panel data, Oxford Bulletin of Economics and Statistics, 69(6), 709-748.
World Competitiveness Yearbook (WCY CD-ROM) (2000-2015), Switzerland: IMD.
World Development Indicators (WDI online) (2000-2015), Washington: World Bank.
Yaacob, M.R., Shaupi, N.S.A. and Shuaib, A.S.M. (2016) Perception towards factors that affect the effectiveness of an entrepreneurship training program, Journal of Entrepreneurship and Business, 4(1), 50-58.
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