參考文獻 |
Acemoglu, D., Aghion P. and Zilibotti, F. (2006). ‘Distance to frontier, selection, and economic growth,’ Journal of European Economic Association, 4, pp. 37-74.
Ahn, S.C., Lee, Y.H. and Schmidt, P. (2001). ‘GMM estimation of linear panel data models with time-varying individual effects,’ Journal of Econometrics, 101, pp. 219-255.
Banker, R.D., Charnes, A. and Cooper, W.W. (1984). ‘Some models for estimating technical and scale inefficiencies in data envelopment analysis,’ Management Science, 30, pp. 1078-1092.
Battese, G.E. and Coelli, T.J. (1995). ‘A model for technical inefficiency effects in stochastic frontier production function for panel data,’ Empirical Economics, 20, pp. 325-332.
Beath, J., Poyago-Theotoky, J. and Ulph, D. (1998). ‘Organization design and Information-sharing in a research joint venture with spillovers,’ Bulletin of Economic Research, 50, pp. 47-59.
Boussemart, J.P., Briec, W., Kerstens, K. and Poutineau, J.C. (2003). ‘Luenberger and Malmquist productivity indices: Theoretical comparisons and empirical illustration,’ Bulletin of Economic Research, 55, pp. 391-405.
Brown, M.G. and Svensen, R.A. (1998). ‘Measuring R&D productivity,’ Research and Technology Management, 41, pp. 30-35.
Cave, D.W., Christensen, L.R. and Diewet, W.E. (1982). ‘The economic theory of index numbers and measurement of input, output and productivity,’ Econometrica, 50, pp. 1393-1414.
Chambers, R.G., Chung, Y.H. and Färe, R. (1996). ‘Benefit and distance functions,’ Journal of Economic Theory, 70, pp, 407-419.
Charnes, A., Cooper, W.W. and Rhodes, E. (1978). ‘Measuring efficiency of decision making units,’ European Journal of Operational Research, 2, pp. 429-444.
Chen, Y. and Puttitanun, T. (2005). ‘Intellectual property rights and innovation in developing countries,’ Journal of Development Economics, 78, pp. 474-493.
Coelli, T.J. and Perelman, S. (2000). ‘Technical efficiency of European railways: a distance function approach,’ Applied Economics, 32, pp. 1967-1976.
Coelli, T.J., Prasada Rao, D.S., O’Donnell, C.J. and Battese, G.E. (2005). An Introduction to Efficiency and Productivity Analysis, Second Edition, Kluwer Academic Publishers, Boston.
Coelli, T.J., Rao, D.S.P., and Battese, G.E. (1998). An Introduction to Efficiency and Productivity Analysis, Kluwer Academic Publishers, Boston.
Cullmann, A., Schmidt-Ehmcke, J. and Zloczysti, P. (2009). ‘Innovation, R&D efficiency and the impact of the regulatory environment – A two stage semi-parametric DEA approach,’ DIW Discussion Paper, No. 883.
Edquist, C. (1997). Systems of Innovation: Technologies, Institutions, and Organizations, Pinter, London and Washington.
Etzkowitz, H. and Leydesdorff, L. (1997). Universities and the Global Knowledge Economy: A Triple Helix of University–Industry–Government Relations, London: Cassell Academic.
Etzkowitz, H. and Leydesdorff, L. (2000). ‘The dynamics of innovation: from national systems and mode 2 to a triple helix of university-industry-government relations,’ Research Policy, 29, pp. 109–123.
Färe, R., Grosskopf, S., Norris, M. and Zhang, Z. (1994). ‘Productivity growth, technical change, and efficiency changes in industrialized countries.’ American Economic Review, 84, pp.66-83.
Färe, R. and Primont, D. (1995). Multi-output Production and Duality: Theory and Applications, Boston: Kluwer Academic.
Farrell, M.J. (1957). ‘The measurement of productive efficiency,’ Journal of the Royal Statistical Society: Series A, 120, pp. 253-281.
Freeman, C. (1987). Technology Policy and Economic Performance: Lessons from Japan, Pinter, London.
Fu, X. and Yang, Q.G. (2009). ‘Exploring the cross-country gap in patenting: a stochastic frontier approach,’ Research Policy, 38, pp. 1203-1213.
Furman, J.L., Porter, M.E. and Stern, S. (2002). ‘The determinants of national innovative capacity,’ Research Policy, 31, pp. 899-933.
Geisler, E. (1995). ‘An integrated cost-performance model of research and development evaluation,’ International Journal of Management Science, 23, pp.281-294.
Ginarte, J.C. and Park, W.G. (1997). ‘Determinants of patent rights: a cross-national study,’ Research Policy, 26, pp. 283-301.
Greene, W. (2005). ‘Reconsidering heterogeneity in the panel data estimators of the stochastic frontier model,’ Journal of Econometrics, 126, pp.269-303.
Griffith, R., Huergo, E., Mariesse, J. and Peters, B. (2006). ‘Innovation and productivity across four European countries,’ Oxford Review of Economic Policy, 22, pp. 483-498.
Griliches, Z. (1990). ‘Patent statistics as economic indicators: a survey,’ Journal of Economic Literature, 28, pp. 1661–1707.
Grosskopf, S., Hayes, K., Taylor, L. and Weber, W. (1996). ‘Budget constrained frontier measures of fiscal equality and efficiency in schooling,’ Review of Economics and Statistics, 79, pp. 116-124.
Grossman, G. and Lai, E.L.C. (2005). ‘International protection of intellectual property,’ American Economic Review, 94, pp. 1635-1653.
Guan, J. and Chen, K. (2010). ‘Modeling macro-R&D production frontier performance: An application to Chinese province-level R&D,’ Scientometrics, 82, pp. 165-173.
Guellec, D. and van Pottelsberghe de la Potterie, B. (2004). ‘From R&D to productivity growth: do the institutional settings and the source of funds of R&D matter,’ Oxford Bulletin of Economics and Statistics, 66, pp. 353–378.
Hall, B.H. and Mairesse, J. (1995). ‘Exploring the relationship between R&D and productivity in French manufacturing firms,’ Journal of Econometrics, 65, pp. 263-293.
Hashimoto, A. and Haneda, S. (2008). ‘Measuring the change in R&D efficiency of the Japanese pharmaceutical industry,’ Research Policy, 37, pp. 1829-1836.
Hu, M.C. and Mathews, J.A. (2008). ‘China’s national innovative capacity,’ Research Policy, 37, pp. 1465-1479.
Kumbhaker, S.C. and Lovell, C.A.K. (2000). Stochastic Frontier Analysis, New York: Cambridge University Press.
Kumbhaker, S.C., Ghosh, C.S. and McGuckin, J.T. (1991). ‘A generalized production frontier approach for estimating determinants of inefficiency in U.S. dairy farms,’ Journal of Business and Economic Statistics, 9, pp. 279-286.
Lee, H.Y. and Park, Y.T. (2005). ‘An international comparison of R&D efficiency: DEA approach,’ Asian Journal of Technology Innovation, 13, pp. 207-222.
Lee, H.Y., Park, Y.T. and Choi, H. (2009). ‘Comparative evaluation of performance of national R&D programs with heterogeneous objectives: A DEA approach,’ European Journal of Operational Research, 196, pp. 847-855.
Lichtenberg, F.R. (1993). ‘R&D investment and international productivity differences,’ in Siebert H. (Ed.), Economics Growth in the World Economy, Mohr, Tubingen, pp. 47-68.
Lovell, C.A.K., Richardson, S., Travers, P. and Wood, L.L. (1994). ‘Resources and functions: a new view of inequality in Australia,’ in W. Eichhorn (ed.), Models and Measurement of Welfare and Inequality, Berlin: Springer-Verlag, pp. 787-807.
Lovell, C.A.K. and Schmidt, S.S. (1993). Production Frontiers and Productive Efficiency, the Measurement of Productive Efficiency: Techniques and Applications, Oxford University Press, Oxford.
Lu, W.C. and Liu, T.K. (2010). ‘Malmquist indices of R&D productivity growth in Taiwanese IC-design industry,’ Global Journal of Business Research, 4, pp.105-114.
Lundvall, B. (1992). National Systems of Innovation, Pinter, London and New York.
Mairesse, J. and Hall, B.H. (1996). ‘Estimating the productivity of research and development in French and US manufacturing firms: an exploration of simultaneity issues with GMM methods,’ in Wagner, K. and B. van Ark (eds.), International Productivity Differences and Their Explanations, Elsevier Science, pp. 285-315.
Managi, S. (2003). ‘Luenberger and Malmquist productivity indices in Japan, 1955-1995,’ Applied Economics Letters, 10, pp. 581-584.
Mastromarco, C. (2008). ‘Foreign capital and efficiency in developing countries,’ Bulletin of Economic Research, 60, pp. 351-374.
Nelson, R.R. (1993). National Innovation Systems: A Comparative Analysis, Oxford University Press, Oxford.
Nunnenkamp, P. and Spatz, J. (2003). ‘Foreign direct investment and economic growth in developing countries: how relevant are host-country and industry characteristics?’ Kiel Working Papers, No. 1176.
OECD (2001). OECD Science, Technology, and Industry Scoreboard, Paris: OECD.
Pakes, A. and Griliches, Z. (1984). ‘Patents and R&D at the firm Level: a first look in: Griliches, Z. (Ed.),’ R&D Patents and Productivity, University of Chicago Press, Chicago.
Parisi, M.L., Schiantarelli, F. and Sembenelli, A. (2006). ‘Productivity, innovation and R&D: Micro evidence for Italy,’ European Economics Review, 50, pp. 2037-2061.
Pitt, M.M. and Lee, L.F. (1981). ‘The measurement and sources of technical inefficiency in the Indonesian weaving industry,’ Journal of Development Economics, 9, pp. 43-64.
Sharma, S. and Thomas, V.J. (2008). ‘Inter-country R&D efficiency analysis: An application of data envelopment analysis,’ Scientometrics, 76, pp. 483-501.
Shephard, R.W. (1970). Theory of Cost and Production Functions, Princeton, NJ: Princeton University Press.
Thomas, V.J., Sudhir, K.J. and Sharma, S. (2009). ‘Analyzing R&D efficiency in Asia and the OECD: An application of the Malmquist productivity index,’ IEEE Proceedings of the 2009 Atlanta Conference on Science and Innovation Policy.
Tödtling, F., Lehner, P. and Kaufmann, A. (2009). ‘Do different types of innovation rely on specific kinds of knowledge interactions?’ Technovation, 29, pp. 59-71.
Wang, E.C. (2007). ‘R&D efficiency and economic performance: a cross-country analysis using the stochastic frontier approach,’ Journal of Policy Modeling, 29, pp. 345-360.
Wang, E.C. and Huang, W.C. (2007). ‘Relative efficiency of R&D activities: a cross-country study accounting for environmental factors in the DEA approach,’ Research Policy, 36, pp. 260-273.
Wang, H.J. and Schmidt, P. (2002). ‘One-step and two-step estimation of the effects of exogenous variables on technical efficiency levels,’ Journal of Productivity Analysis, 18, pp. 129-144.
Werner, B.M. and Souder, W.E. (1997). ‘Measuring R&D performance: state of the art,’ Research Technology Management, 40, pp. 34-41.
Wu, W.Y., Tsai, H.J., Cheng, K.Y. and Lai, M. (2006). ‘Assessment of intellectual capital management in Taiwanese IC design companies: Using DEA and the Malmquist productivity index,’ R&D Management, 36, pp. 531-545.
|