| 參考文獻 |
Abiad, A., Bluedorn, J. & Guajardo, J. (2012). The rising resilience of emerging market and developing economies. World development, 72, 1-26.
Afonso, O. (2016). R&D intensity, economic growth and firm-size growth: theory and practice. Applied economics, 48 (32), 973-2993.
Ahmar, Q.Q., & Zhao, Y. (2012). Productivity measurement of Hi-tech industry of China Malmquist productivity index - DEA approach. Procedia Economics and Finance, 1, 330-336.
Balzat, M. & Hanusch, H. (2004) Recent trends in the research on national innovation systems. Journal of evolutionary economics, 14 (2), 197-210.
Banker, R.D., Charnes, A.C., & Cooper, W.W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30, 1078-1092.
Boeing, P., Mueller, E., & Sandner, P. (2016). China’s R&D explosion-analyzing productivity effects across ownership types and over time. Research Policy, 45(1), 159-176.
Bravo, O. C., & Garcia, M, A. (2011). R&D and productivity: A two-way avenue? World development, 39 (7), 1090-1107.
Breitzman, A., & Thomas, P. (2014). The emerging clusters model: a tool for identifying emerging technologies across multiple patent systems. Research Policy, 44, 195-205.
Breinlich, H. & Cunat, A. (2013). Geography, non-homotheticity, and industrialization: a quantitative analysis. Journal of development economics, 103, 133-153.
Burk, K. (2013). Novel outlooks on the Marshall Plan: American Aid and European re-industrialization. English historical review, 128(535), 1627-1628.
Cave, D.W., Christensen, L.R., & Diewert, W.E. (1982). The economic theory of index numbers and measurement of input, output, and productivity. Econometrica, 50, 1392-1414.
Chang, S.C. (2011). Returns to scale in DEA models for performance evaluations. Technological Forecasting & Social Change, 78, 1389-1396.
Chang, H., Choy, H.L., Cooper, W.W., & Ruefli, T.W. (2009). Using Malmquist indexes to measure changes in the productivity and efficiency of US accounting firms before and after the SarbanesOxley act. Omega, 37, 951-960.
Charnes, A.C., Cooper, W.W., & Rhodes, E.L. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429-444.
Charnes, A., Clart, T., Cooper, W.W., & Golany, B. (1985). A developmental study of data envelopment analysis in measuring the efficiency of maintenance units in the U.S. air forces. Annals of Operations Research, 2, 59-94.
Chenery, H.B. (1960) Patterns of industrial growth. The American economic review, 50 (4), 624-654.
Chen, C.M. (2009). Network-DEA, a model with new efficiency measures to incorporate the dynamic effect in production networks. European Journal of Operational Research, 194, 687 -699.
Chen, Z.H. (2009). A brief history of China’s Y-10: imitation versus innovation. Technology in Society, 31, 414 -418.
Chen, Y.S., & Chang, K.C. (2010). The relationship between a firm’s patent quality and its market value -the case of US pharmaceutical industry. Technological Forecasting and Social Change, 77, 20 -33.
Chen, C.M., & van Dalen, J. (2010). Measuring dynamic efficiency: theories and an integrated methodology. European Journal of Operational Research, 203, 749 -760.
Chen, Y., & Zhu, J. (2004). Measuring information technology’s indirect impact on firm performance. Information Technology and Management, 5, 9-22.
Chen, C.J., Wu, H.L., & Lin, B.W. (2006). Evaluating the development of high-tech industries: Taiwan’s science park. Technological Forecasting and Social Change, 73, 452- 465.
Chiu, Y.H., Huang, C.W., & Chen, Y.C. (2012). The R&D value-chains efficiency measurement for high-tech industries in China. Asia-Pacific Journal of Management, 29, 989-1006.
Cho, S.P., Park, S.Y., Park, G.S., Lee, W.K., & Song, W.H. (2009). Comparative analysis on the performance evaluation of national R&D projects. Asian Journal of Technology Innovation, 17(1), 121-142.
Christensen, D., Drysdale, D. & Hansen, K. (2014) Partnerships for development: Municipal solid waste management in Kasese, Uganda. Waste management & research, 32 (11), 1063-1072.
Chu, M.T., Rezaeian Fardoei, S., Fallah, H., Ghazinoory, S. & Aliahmadi, A. (2014) Modeling national innovation system enabled by knowledge management. Journal of business economics and management, 15 (5), 964-977.
Chun, D., Hong, S., Chung, Y., Woo, C., & Seo, H. (2016). Influencing factors on hydrogen energy R&D projects: an ex-post performance evaluation. Renewable and Sustainable Energy Reviews, 53, 1252-1258.
Choi, N. (2015). Global value chains and East Asian trade in value-added. Asian economic papers, 14 (3), 129-144.
Coe, D.T., Helpman, E. & Hoffmaister, A.W. (2009). International R&D spillovers and institutions. European economic review, 53 (7), 723-741.
Cohen, W.M., Goto, A., Nagata, A., Nelson, R.R., & Walsh, J.P. (2002). R&D spillovers, patents and the incentives to innovate in japan and the United States. Research Policy, 31(8), 1349-1367.
Cook, W.D., Liang, L., Zha, Y., & Zhu, J. (2009). A modified super-efficiency DEA model for infeasibility. Journal of Operational Research Society, 60, 276 -281.
Cooper, W.W., Li, S. & Seiford, L.M. (2001). Sensitivity and stability analysis in DEA: Some recent developments. Journal of productivity analysis, 15 (3), 217-246.
Cooper, W.W., Sinha, K.K., & Sullivan, R.S. (1996). Evaluating the information content of a measure of plant output: An application to high-technology manufacturing. Annals of Operations Research, 68, 329 -360.
Cozzarin, B.P. (2016). Advanced technology, innovation, wages and productivity in the Canadian manufacturing sector. Applied economics letters, 23 (4), 243-249.
Cypher, J.M. (2015). Emerging contradictions of Brazil’s neo-developmentalism: precarious growth, redistribution, and deindustrialization. Journal of economic issue, 49 (3), 617-648.
Delgado-Verde, M., Martin-de, C.G. & Amores-Salvado, J. (2016). Intellectual capital and radical innovation: Exploring the quadratic effects in technology-based manufacturing firms. Technovation, 54, 35-47.
Despotis, D.K., Sotiros, D., & Koronakos, G. (2015). A network DEA approach for series multi-stage processes. Omega, 61, 35 -48.
Despotis, D.K., Koronakos, G. & Sotiros, D. (2016). The “weak-link” approach to network DEA for two-stage processes. European journal of operational research, 254 (2), 481-492.
Dobson, W., & Safarian, A.E. (2008). The transition from imitation to innovation: an enquiry into China’s evolving institutions and firm capabilities. Journal of Asian Economics, 19, 301-311.
Dutta, S., Narasimhan, O., & Rajiv, S. (1999). Success in high-technology markets: is marketing capability critical? Marketing Science, 18, 547- 568.
Ernst, H. (1995). Patenting strategies in the German mechanical engineering industry and their relationship to firm performance. Technovation, 15(4), 225- 240.
Fare, R., Grosskopf, S. & Norris, M. (1994). Productivity growth, technical progress, and efficiency change in industrialized countries. American economic review, 84 (1), 66-83.
Felsenstein, D. (2015). Factors affecting regional productivity and innovation in Israel: Some empirical evidence. Regional studies, 49 (9), 1457-1468.
Griliches, Z. (1979). Issues in assessing the contribution of research and development to productivity growth. Bell Journal of Economics, 10, 92 -116.
Griliches, Z. (1990). Patent statistics as economic indicators: a survey. Journal of Economic Literature, 18(4), 1661-1707.
Grimes, S., & Sun, Y. (2014). Implications of China’s on-going dependence on foreign technology. Geoforum, 54, 59 -69.
Grupp, H. & Schubert, T. (2010). Review and new evidence on composite innovation indicators for evaluating national performance. Research policy, 39 (1), 67-78.
Guan, Y. & Chen, K. (2012) Modeling the relative efficiency of national innovation systems. Research policy, 41 (1), 102-115.
Hagedoorn, J., & Cloodt, M. (2003). Measuring innovative performance: is there an advantage in using multiple indicators? Research Policy, 32, 1365- 1379.
Hall, B.H., Hausman, J., & Griliches, Z. (1986). Patents and R&D: is there a lag? International Economic Review, 27, 265-283.
Hashimoto, A. & Haneda, S. (2008). Measuring the change in R&D efficiency of the Japanese pharmaceutical industry. Research policy, 37 (10), 1829-1836.
Hausman, J.A., Hall, B.H., & Griliches, Z. (1984). Econometric models for count data with an application to the patents-R&D relationship. Econometrica, 52, 909 -938.
Heshmati, A. (2003) Productivity growth, efficiency and outsourcing in manufacturing and service industries. Journal of economic surveys, 17 (1), 79-112.
Hsu, F.M., & Hsueh, C.C. (2009). Measuring relative efficiency of government-sponsored R&D projects: a three-stage approach. Evaluation and Program Planning, 32, 178 -186.
Hu, A. (2001). Ownership, government R&D, private R&D, and productivity in Chinese industry. Journal of Comparative Economics, 29, 136 -157.
Huang, H., & Xu, C. (1998). Soft budget constraint and the optimal choices of research and development projects financing. Journal of Comparative Economics, 26, 62-79.
Jagoda, K., Kiridena, S. & Lin, X. (2016). Alternative operations strategy processes: do they matter? Production planning & control, 27 (9), 740-752.
Jonrinaldi & Zhang, D.Z. (2013) An integrated production and inventory model for a whole manufacturing supply chain involving reverse logistics with finite horizon period. Omega, 41 (3), 598-620.
Kochhar, K., Kumar, U. & Rajan, R. (2006). India’s pattern of development: What happened, what follows? Journal of monetary economics, 53 (5), 981-1019.
Kondo, M. (1999). R&D dynamics of creating patents in the Japanese industry. Research Policy, 28(6), 587 -600.
Kou, M., Chen, K. & Wang, S. (2016). Measuring efficiencies of multi-period and multi-division systems associated with DEA: An application to OECD countries′ national innovation systems. Expert systems with applications, 46, 494-510.
Kudina, A. & Pitelis, C. (2014). De-industrialisation, comparative economic performance and FDI inflows in emerging economies. International business review, 23 (5), 887-96.
Kuznets, S. (1973) Modern economic growth: findings and reflections. The American economic review, 63 (3), 247-258
Laitinen, E.K. (2002). A dynamic performance measurement system: evidence from small Finnish technology companies. Scandinavian Journal of Management, 18, 65-99.
Lanjouw, J., & Schankerman, M. (2004). Patent quality and research productivity: measuring innovation with multiple indicators. The Economic Journal, 114, 441-465.
Lausen, K. & Salter, A. (2006). Open for innovation: The role of openness in explaining innovation performance among UK manufacturing firms. Strategic management journal, 27 (2), 131-150.
Lee, C., & Cho, K. (2015). Proposing a portfolio model for performance management of Korea’s health technology R&D programme using DEA and MPI: a translational research case. Asian Journal of Technology Innovation, 23(1), 20-34.
Lee, C.C. & Chiu, Y.B. (2016). Globalization and insurance activity: evidence on the industrial and emerging countries. North American journal of economics and finance, 36, 328-349.
Lee, H., Park, Y. & Choi, H. (2009). Comparative evaluation of performance of national R&D programs with heterogeneous objectives: a DEA approach. European journal of operational research, 196 (3), 847-855.
Lee, H.Y., & Park, Y.T. (2005). An international comparison of R&D efficiency: DEA approach. Asian Journal of Technology Innovation, 13(2), 207-222.
Lee, C., Lee, J.D., & Kim, T.Y. (2009). Innovation policy for defense acquisition and dynamics of productive efficiency: a DEA application to the Korean defense industry. Asian Journal of Technology Innovation, 17(2), 151-171.
Lee, H., Park, Y., & Choi, H. (2009
). Comparative evaluation of performance of national R&D programs with heterogeneous objectives: a DEA approach. European Journal of Operational Research, 196, 847-855.
Li, Y.A. (2014). Borders and distance in knowledge spillovers: dying over time or dying with age? —evidence from patent citations. European Economic Review, 71, 152 -172.
Li, Y., Chen, Y., Liang, L., & Xie, J. (2012). DEA models for extended two-stage network structures. Omega, 40, 611-618.
Lin, W.T., & Shao, B.B.M. (2006). Assessing the input effect on productive in production systems: the value of information technology capital. International Journal of Production Research, 44, 1799-1819.
Liu, J.S., & Lu, W.M. (2010). DEA and ranking with the network-based approach: a case of R&D performance. Omega, 38, 453 -464.
Liu, J.S., Lu, W.M. & Mei H.C. (2015) National characteristics: innovation systems from the process efficiency perspective. R&D management, 45 (4), 317-338.
Lto, B. & Tanaka, A. (2016) External R&D, productivity, and export: evidence from Japanese firms. Review of world economics, 152 (3), 577-596.
Lu, W.C. (2009). The evolution of R&D efficiency and marketability: evidence from Taiwan’s IC-design industry. Asian Journal of Technology Innovation, 17(2), 1- 26.
Lu, W.M., Kweh, Q.L. & Huang, C.L. (2014). Intellectual capital and national innovation systems performance. Knowledge-based systems, 71, 201-210.
Ma, Y.F., & Goo, Y.J. (2005). Technical Efficiency and productivity change in China’s high- and new technology industry development zones. Asian Business and Management, 4, 331 -355.
Mahroum, S. & Al-Saleh, Y. (2013). Towards a functional framework for measuring national innovation efficacy. Technovation, 33 (10-11), 320-332.
Mannino, M., Hong, S.N., & Choi, I.J. (2008). Efficiency evaluation of data warehouse operations. Decision Support Systems, 44, 883- 898.
Mansfield, E. (1980). Basic research and productivity increase in manufacturing. American Economic Review, 70, 863 -873.
Mendes, P., Leal, J.E. & Tavares Thome, A.M. (2016). A maturity model for demand-driven supply chains in the consumer product goods industry. International journal of production economics, 179, 153-165.
Merges, R. (1994). Intellectual property rights and bargaining breakdown: the case of blocking patents. Tennessee Law Review, 62, 75.
Miremadi, T. (2012). The vicious circles of underdevelopment and their impacts on the national innovation system in Iran. Journal of Science and Technology Policy, 5, 17-30.
Montresor, S. & Vezzani, A. (2015). The production function of top R&D investors: Accounting for size and sector heterogeneity with quantile estimations. Research policy, 44 (2), 381-393.
Moyano-Fuentes, J., Sacristan-Diza, M. & Garrido-Vega, P. (2016). Improving supply chain responsiveness through Advanced Manufacturing Technology: the mediating role of internal and external integration. Production planning & control, 27 (9), 686-697.
Nemoto J, & Goto M. (1999). Dynamic data envelopment analysis modeling intertemporal behavior of a firm in the presence of productive inefficiencies. Economic Letters, 64, 51-56.
Nemoto J, & Goto M. (2003). Measuring dynamic efficiency in production: an application of data envelopment analysis to Japanese electric utilities. Journal of Productivity Analysis, 19, 191 -210.
Nitkiewicz, T., Pachura, P., & Reid, N. (2014). An appraisal of regional intellectual capital performance using data envelopment analysis. Applied Geography, 53, 246 -257.
Oyelaran-Oyeyinka, B., & Sampath, P. G. (2006). Rough road to market: institutional barriers to innovations in Africa. Working Paper Series. UNU-Merit, Maastricht, The Netherlands.
Papageorgiadis, N. & Sharma, A. (2016). Intellectual property rights and innovation: A panel analysis. Economics letters, 141, 70-72.
Park, K.S., & Park, K. (2009). Measurement of multiperiod aggregative efficiency. European Journal of Operational Research, 193, 567 -580.
Rassenfosse, G. (2013). Do firms face a trade-off between the quantity and the quality of their inventions? Research Policy, 42, 1072-1079.
Pietrobelli, C. & Rabellotti, R. (2011). Global value chains meet innovation systems: are there learning opportunities for developing countries? World development, 39 (7), 1261-1269.
Psillaki, M., Tsolas, I.E., & Margaritis, D. (2010). Evaluation of credit risk based on firm performance. European Journal of Operational Research, 201, 873- 881.
Rousseau, S., & Rousseau, R. (1997). Data envelopment analysis as a tool for constructing scientometric indicators. Scientometrics, 40(1), 45-56.
Rousseau, S., & Rousseau, R. (1998). The scientific wealth of European nations: taking effectiveness into account. Scientometrics, 42(1), 75- 87.
Rylkova, Z. & Chobotova, M. (2014). Protection of Intellectual Property as a Means of Evaluating Innovation Performance. Procedia economics and finance, 14, 544-552.
Saunders, K.M. (2002). Patent nonuse and the role of public interest as a deterrent to technology suppression. Harvard Journal of Law & Technology, 15, 389 -452.
Schiff, M. & Wang, Y. (2008). North-South and South-South trade-related technology diffusion: How important are they in improving TFP growth? Journal of development studies, 44 (1), 49-59.
Schroeder, R.G., Bates, K.A. & Junttila, M.A. (2002). A resource-based view of manufacturing strategy and the relationship to manufacturing performance. Strategic management journal, 23 (2), 105-117.
Seiford, L.M., & Zhu, J. (1999). Profitability and marketability of the top 55 US commercial banks. Management Science, 45, 1270-1288.
Shao, B.M., & Lin, W.T. (2002). Technical efficiency analysis of information technology investments: a two-stage empirical investigation. Information and Management, 39, 391-401.
Sheu, H.J., & Yang, C.Y. (2005). Insider ownership and firm performance on Taiwan’s electronics industry: a technical efficiency perspective. Managerial and Decision Economics, 26, 307-318.
Smetkowski, M. (2013). Regional Disparities in Central and Eastern European countries: Trends, Drivers and Prospects. Europe-Asia studies, 65 (8), 1529-1554.
Sueyoshi, T., & Aoki, S. (2001). A use of a nonparametric statistic for DEA frontier shift: The Kruskal and Wallis rank test. Omega, 29, 1-18.
Sueyoshi, T., & Goto, M. (2001). Slack-adjusted DEA for time series analysis: performance measurement of electrical power generation industry in 1984-1993. European Journal of Operational Research, 133, 8-35.
Sueyoshi, T., & Goto, M. (2009). Can R&D expenditure avoid corporate bankruptcy? Comparison between Japanese machinery and electric equipment industries using DEA -discriminant analysis. European Journal of Operational Research, 196, 289- 311.
Subramaniam, M. & Youndt, M.A. (2005). The influence of intellectual capital on the types of innovative capabilities. Academy of management journal, 48 (3), 450-463.
Sueyoshi, T., & Sekitani, K. (2005). Returns to scale in dynamic DEA. European Journal of Operational Research, 161, 536 -544.
Szirmai, A. & Verspagen, B. (2015). Manufacturing and economic growth in developing countries, 1950-2005. Structural change and economic dynamics, 34, 46-59.
Tassey, G. (2014). Competing in advanced manufacturing: The need for improved Ggrowth models and policies. Journal of economic perspectives, 28 (1), 27-48.
Teixeira, A.A.C. & Queiros, A.S.S. (2016). Economic growth, human capital and structural change: A dynamic panel data analysis. Research policy, 45 (8), 148-160.
Tejani, S. & Milberg, W. (2016). Global defeminization? Industrial upgrading and manufacturing employment in developing countries. Feminist economics, 22 (2), 24-54.
Thomas, V.J. Sharma, S., & Jain, S.K. (2011). Using patents and publications to assess R&D efficiency in the states of the USA. World Patent Information, 33, 4-10.
Thore, S., Phillips, F., Ruefli, T.W., & Yue, P. (1996). DEA and the management of the product cycle: the U.S. computer industry. Computer Operations Research, 23, 341 -356.
Tone, K. & Tsutsui, M. (2009). Network DEA: A slacks-based measure approach. European journal of operational research, 197, 243-252.
Tone, K., & Tsutsui, M. (2010). Dynamic DEA: a slacks-based measure approach. Omega, 38, 145 -156.
Tone, K., & Tsutsui, M. (2014). Dynamic DEA with network structure: a slacks-based measure approach. Omega, 42(1), 124 -131.
Torrisi, S., Gambardella, A., Giuri, P., Harhoff, D., Hoisl, K., & Mariani, M. (2016). Used, blocking and sleeping patents: empirical evidence from a large-scale inventor survey. Research Policy, 45(7), 1374-1385.
Tseng, F.M., Chiu, Y.J., & Chen, J.S. (2009). Measuring business performance in the high-tech manufacturing industry: a case study of Taiwan’s large-sized TFT-LCD panel companies. Omega, 37, 686 -697.
Turner, J.S. (1998). The nonmanufacturing patent owner: toward a theory of efficient infringement. California Law Review, 179 -210.
Vandenbroucke, E., Knockaert, M. & Ucbasaran, D. (2016). Outside board human capital and early stage high-tech firm p
erformance. Entrepreneurship theory and practive, 40 (4), 759-779.
Verma, D., & Sinha, K.K. (2002). Toward a theory of project interdependencies in high-tech R&D environments. Journal of Operations Management, 20, 451 -468.
Vines, R., Jones, M. & McCarthy, G. (2015). Collaborating across institutional and jurisdictional boundaries: enabling the emergence of a national innovation system through public knowledge management. Knowledge management research & practice, 13 (2), 187-197.
Wang, E.C. & Huang, W. (2007). Relative efficiency of R&D activities: a cross-country study accounting for environmental factors in the DEA approach. Research policy, 36 (2), 260-273.
Weinthal, E., & Loung, P. J. (2006). Combating the resource curse: an alternative solution to managing mineral wealth. Perspective on Politics, 4(1), 35-53.
Xie, X.M., Zeng, S.X. & Tam, C.M. (2011). Towards continuous innovation for regional high-tech industrial clusters. Innovation-management policy & practice, 13 (3), 361-375.
Yang, M.G., Hong, P. & Modi, S.B. (2011). Impact of lean manufacturing and environmental management on business performance: An empirical study of manufacturing firms. International journal of production economics, 129 (2), 251-261.
Yang, S., Bai, Y. & Wang, S. (2013). Evaluating the transformation of China′s industrial development mode during 2000-2009. Renewable & sustainable energy reviews, 20, 585-594.
Zhang, C. & Zhuang, L. (2011). The composition of human capital and economic growth: evidence from China using dynamic panel data analysis. China economic review, 22 (1), 165-171. |
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