參考文獻 |
Aida, K., Cooper, W. W., Pastor, J. T., & Sueyoshi, T. (1998). Evaluating water supply services in Japan with RAM: a range-adjusted measure of inefficiency. Omega, 26(2), 207-232.
Assaf, A. (2009). Accounting for size in efficiency comparisons of airports. Journal of Air Transport Management, 15(5), 256-258.
Assaf, A., Barros, C. P., & Josiassen, A. (2010). Hotel efficiency: A bootstrapped metafrontier approach. International Journal of Hospitality Management, 29(3), 468-475.
Assaf, A., Barros, C. P., & Josiassen, A. (2012). Hotel efficiency: A bootstrapped metafrontier approach. International Journal of Hospitality Management, 31(2), 621-629.
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management science, 30(9), 1078-1092.
Battese, G. E., & Coelli, T. J. (1995). A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical economics, 20(2), 325-332.
Battese, G. E., & Rao, D. P. (2002). Technology gap, efficiency, and a stochastic metafrontier function. International Journal of Business and Economics, 1(2), 87-93.
Battese, G. E., Rao, D. P., & O′donnell, C. J. (2004). A metafrontier production function for estimation of technical efficiencies and technology gaps for firms operating under different technologies. Journal of Productivity Analysis, 21(1), 91-103.
Barros, C. P., & Wanke, P. (2017). Technology Gaps and Capacity Issues in African Insurance Companies: Selected Country Evidence. Journal of International Development, 29(1), 117-133.
Binam, J. N., Gockowski, J., & Nkamleu, G. B. (2008). Technical efficiency and productivity potential of cocoa farmers in West African countries. The Developing Economies, 46(3), 242-263.
Bos, J. W., & Schmiedel, H. (2007). Is there a single frontier in a single European banking market?. Journal of Banking & Finance, 31(7), 2081-2102.
Boshrabadi, H. M., Villano, R., & Fleming, E. (2008). Technical efficiency and environmental‐technological gaps in wheat production in Kerman province of Iran. Agricultural Economics, 38(1), 67-76.
Boskin, M. J., & Lau, L. J. (1992). International and intertemporal comparison of productive efficiency. The Economic Studies Quarterly, 43(4), 298-312.
Brümmer, B. (2001). Estimating confidence intervals for technical efficiency: the case of private farms in Slovenia. European review of agricultural economics, 28(3), 285-306.
Büschken, J. (2007). Determinants of brand advertising efficiency: evidence from the German car market. Journal of Advertising, 36(3), 51-73.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European journal of operational research, 2(6), 429-444.
Charnes, A., Cooper, W. W., Golany, B., Seiford, L., & Stutz, J. (1985). Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions. Journal of econometrics, 30(1-2), 91-107.
Cooper, W. W., Li, S., Seiford, L. M., Tone, K., Thrall, R. M., & Zhu, J. (2001). Sensitivity and stability analysis in DEA: some recent developments. Journal of productivity Analysis, 15(3), 217-246.
Cook, W. D., Tone, K., & Zhu, J. (2014). Data envelopment analysis: Prior to choosing a model. Omega, 44, 1-4.
De Witte, K., & Marques, R. C. (2009). Capturing the environment, a metafrontier approach to the drinking water sector. International Transactions in Operational Research, 16(2), 257-271.
Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers′ product evaluations. Journal of marketing research, 307-319.
Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society. Series A (General), 120(3), 253-290.
Färe, R., Lovell, C. A. K., & Zieschang, K. (1982). Measuring the technical efficiency of multiple output technologies. In W. Eichhorn et al. (Eds.), Quantitative studies in production and prices. Wurzburg: Physica-Verlag.
Färe, R., & Grosskopf, S. (1985). A nonparametric cost approach to scale efficiency. The Scandinavian Journal of Economics, 87(4), 594-604.
Fuss, M. A., & Waverman, L. (2006). Costs and productivity in automobile production: The challenge of Japanese efficiency. Cambridge University Press.
Glass, J. C., McKillop, D. G., & Hyndman, N. (1995). Efficiency in the provision of university teaching and research: an empirical analysis of UK universities. Journal of applied Econometrics, 10(1), 61-72.
Gunaratne, L. H. P., & Leung, P. S. (2001). Asian Black Tiger Shrimp Industry: A Productivity Analysis, In P. S. Leung and K. R. Sharma (Eds.), Economics and Management of Shrimp and Carp Farming in Asia: A Collection of Research Papers Based on the ADB/NACA Farm Performance Survey, Bangkok: Network of Aquaculture Centers in Asia-Pacific (NACA), 55-68.
Hall, P. (1986). On the number of bootstrap simulations required to construct a confidence interval. The Annals of Statistics, 1453-1462.
Holbrook, M. B. (1994). The nature of customer value: an axiology of services in the consumption experience. Service quality: New directions in theory and practice, 21, 21-71.
Hayami, Y. (1969). Sources of agricultural productivity gap among selected countries. American Journal of Agricultural Economics, 51(3), 564-575.
Hayami, Y., & Ruttan, V. W. (1970). Agricultural productivity differences among countries. The American economic review, 60(5), 895-911.
Hayami, Y., & Ruttan, V. W. (1971). Agricultural development: an international perspective. Baltimore, Md/London: The Johns Hopkins Press.
Huang, Y. J., Chen, K. H., & Yang, C. H. (2010). Cost efficiency and optimal scale of electricity distribution firms in Taiwan: An application of metafrontier analysis. Energy Economics, 32(1), 15-23.
Huang, T. H., Chiang, L. C., & Chen, K. C. (2011). An empirical study of bank efficiencies and technology gaps in European banking. The Manchester School, 79(4), 839-860.
Jablonsky, J., Fiala, P., Smirlis, Y., & Despotis, D. K. (2004). DEA with Interval Data: An Illustration Using the Evaluation of Branches of a Czech Bank. Central European Journal of Operations Research, 12(4), 323-337.
Jackson, E. C. (2010). A DEA analysis using quality and advertising as determinants of strategic group membership in the automobile industry. The Review of Business Information Systems, 14(4), 1-14.
Kim, J. I., & Lau, L. J. (1994). The sources of economic growth of the East Asian newly industrialized countries. Journal of the Japanese and International Economies, 8(3), 235-271.
Kontolaimou, A., & Tsekouras, K. (2010). Are cooperatives the weakest link in European banking? A non-parametric metafrontier approach. Journal of Banking & Finance, 34(8), 1946-1957.
Lancaster, K. J. (1966). A new approach to consumer theory. The journal of political economy, 74, 132-157.
Lau, L. J., & Yotopoulos, P. A. (1989). The meta-production function approach to technological change in world agriculture. Journal of Development Economics, 31(2), 241-269.
Lin, S. C., & Yang, Y. H. (2014). An Analysis of the Operational and Management Efficiency of Five-Star Hotels in Taiwan. International Journal of Economics and Finance, 6(4), 12-22.
Liu, Y. C., & Chen, Y. H. (2016). Which One is More Efficient? German or Japanese Automobile Industry: A Meta-frontier with Technology Gap Comparison. International Business Research, 9(10), 13-24.
Lovell, C. K., & Pastor, J. T. (1997). Target setting: An application to a bank branch network. European Journal of Operational Research, 98(2), 290-299.
Lovell, C. K., & Schmidt, P. (1988). A comparison of alternative approaches to the measurement of productive efficiency. In Applications of modern production theory: Efficiency and productivity. Springer, Dordrecht, 3-32
Macdonald, E. K., Kleinaltenkamp, M., & Wilson, H. N. (2016). How business customers judge solutions: Solution quality and value in use. Journal of Marketing, 80(3), 96-120.
McMillan, M. L., & Chan, W. H. (2006). University efficiency: A comparison and consolidation of results from stochastic and non‐stochastic methods. Education economics, 14(1), 1-30.
Moreira, V. H., & Bravo-Ureta, B. E. (2010). Technical efficiency and metatechnology ratios for dairy farms in three southern cone countries: a stochastic meta-frontier model. Journal of Productivity Analysis, 33(1), 33-45.
Mundlak, Y., & Hellinghausen, R. (1982). The intercountry agricultural production function: Another view. American Journal of Agricultural Economics, 64(4), 664-672.
O′Donnell, C. J., & Westhuizen, G. (2002). Regional comparisons of banking performance in South Africa. South African Journal of Economics, 70(3), 224-240.
O’Donnell, C. J., Rao, D. P., & Battese, G. E. (2008). Metafrontier frameworks for the study of firm-level efficiencies and technology ratios. Empirical economics, 34(2), 231-255.
Oh, I., Lee, J. D., Hwang, S., & Heshmati, A. (2010). Analysis of product efficiency in the Korean automobile market from a consumer’s perspective. Empirical Economics, 38(1), 119-137.
Papahristodoulou, C. (1997). A DEA model to evaluate car efficiency. Applied Economics, 29(11), 1493-1508.
Pastor, J. T., Ruiz, J. L., & Sirvent, I. (1999). An enhanced DEA Russell graph efficiency measure. European Journal of Operational Research, 115(3), 596-607.
Rust, R. T., & Oliver, R. L. (Eds.). (1993). Service quality: New directions in theory and practice. Sage Publications.
Sharma, K. R., & Leung, P. (2000). Technical efficiency of carp pond culture in South Asia: An application of a stochastic meta‐production frontier model. Aquaculture Economics & Management, 4(3-4), 169-189.
Sherman, H. D., & Zhu, J. (2013). Analyzing performance in service organizations. MIT Sloan Management Review, 54(4), 37-42.
Silverman, B. W. (1986). Density Estimation for Statistics and Data Analysis. Chapman and Hall, London.
Simar, L., & Wilson, P. W. (1998). Sensitivity analysis of efficiency scores: How to bootstrap in nonparametric frontier models. Management science, 44(1), 49-61.
Simar, L., & Wilson, P. W. (2000a). A general methodology for bootstrapping in non-parametric frontier models. Journal of applied statistics, 27(6), 779-802.
Simar, L., & Wilson, P. W. (2000b). Statistical inference in nonparametric frontier models: The state of the art. Journal of productivity analysis, 13(1), 49-78.
Simar, L., & Wilson, P. W. (2007). Statistical inference in nonparametric frontier models: Recent developments and perspectives. In: Fried, H.O., Lovell, C.A.K., Schmidt, S.S. (Eds.), The Measurement of Productive Efficiency and Productivity Growth. Oxford University Press.
Tofallis, C. (2001). Combining two approaches to efficiency assessment. Journal of the Operational Research Society, 52(11), 1225-1231.
Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European journal of operational research, 130(3), 498-509.
Villano, R., Fleming, E. M., & Fleming, P. (2008, February). Measuring regional productivity differences in the Australian wool industry: A Metafrontier approach. In Proceedings of the AARES 52nd Annual Conference.
Wanke, P., & Barros, C. P. (2016). Efficiency drivers in Brazilian insurance: A two-stage DEA meta frontier-data mining approach. Economic Modelling, 53, 8-22.
Wirtz, B. W., Pistoia, A., Ullrich, S., & Göttel, V. (2016). Business models: Origin, development and future research perspectives. Long Range Planning, 49(1), 36-54.
Womack, J. P., Jones, D. T., & Roos, D. (2007). The machine that changed the world: The story of lean production, Toyota’s secret weapon in the global car wars that is revolutionizing world industry (New Ed.). New York.
Worthington, A. C., & Lee, B. L. (2008). Efficiency, technology and productivity change in Australian universities, 1998–2003. Economics of education review, 27(3), 285-298.
Yang, C. H., & Chen, K. H. (2009). Are small firms less efficient?. Small Business Economics, 32(4), 375-395.
Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. The Journal of Marketing, 2-22.
Zhu, J., & Shen, Z. H. (1995). A discussion of testing DMUs′ returns to scale. European Journal of Operational Research, 81(3), 590-596.
Zhuo, C. H. E. N., & Shunfeng, S. O. N. G. (2008). Efficiency and technology gap in China′s agriculture: A regional meta-frontier analysis. China Economic Review, 19(2), 287-296. |