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    المؤلفون: 高世修, Kao, Shih-Hsiu

    المساهمون: 李文福, Lee, Wen-Fu

    وصف الملف: 4403157 bytes; application/pdf

    Relation: 中文文獻\n王允立 (2019),「台灣金控與非金控銀行經營效率分析-網絡隨機共同邊界法」,政治大學金融研究所碩士論文。\n毛芝瑩 (2017),「使用方向距離函數探討我國銀行業技術效率-非貝氏方法考\n慮函數的單調與曲度性質」,政治大學金融研究所碩士論文。\n李文福、王媛慧、洪琬婷 (2009),「技術變動、產出組合與台灣銀行產業產\n力變動」,經濟論文,37(4),495-524。\n李文福、范雅鈞 (2010),「台灣銀行業經營績效分析: Luenberger產力指標法之應用」,經濟論文叢刊,38(4),593-627。\n李文福、翁祥容 (2010),「預期放款損失與台灣銀行業產力分析」,台灣金融財務季刊,11(3),33-59。\n李文福、張佩茹 (2013),「臺灣上市櫃證券商經營績效分析-一般化Malmquist產力指數之應用」,經濟研究,49(1),89-134。\n李文福、張民忠、王媛慧 (2015),「衡量與分解臺灣銀行業產力與利潤力變\n動」,經濟研究,51(2),305-356。\n李孟羲 (2016),「臺灣民營金控公司技術效率分析-隨機距離函數法之應用」,臺灣大學物資源暨農學院農業經濟研究所碩士論文。\n李睿耆 (2018),「追蹤資料下貝氏隨機邊界模型之估計-對台灣銀行成本效率分\n析的應用」,臺灣大學經濟研究所碩士論文。\n余欣穎 (2018),「考量CoVaR後對台灣銀行業效率性之探討」,臺北商業大學國際商務研究所碩士論文。\n邱齡慧 (2014),「兩岸銀行業之分項投入效率比較:隨機共同邊界分析之應用」,東吳大學經濟研究所碩士論文。\n林佑穎 (2012),「以共同邊界方法在銀行效率、環境效率與綠色(環境)產力之應用」,中興大學應用經濟所博士論文。\n陳昱銘 (2016),「臺灣地區本國銀行與外商銀行效率和產力分析-全域共同邊\n界法之應用」,政治大學經濟研究所碩士論文。\n陳碧、陳彧夏、林宛蓉 (2009),「兩岸銀行業效率及其影響因子之分析-\nMetafrontier函數之應用」,評價學報,1,12-27。\n黃台心、江典霖 (2014),「我國銀行業市場競爭度與金融創新之關聯」,中央銀行季刊,36(2),15-52。\n黃思旻 (2016),「台灣銀行產業之績效評估」,嶺東科技大學財務金融所碩士論文。\n湯家榳 (2018),「資本適足率及逾放比率對台灣銀行產業產效率之影響」,嶺東科技大學企業管理系高階經營管理在職專班碩士論文。\n薛美雲 (2009),「台灣商業銀行之業務結構及利潤效率與風險之研究」,臺中技術學院事業經營所碩士論文。\n蘇以岫 (2016),「在共同衝擊存在下估計銀行之經營效率:模擬最大概似法在\n追蹤資料隨機邊界模型的應用」,成功大學經濟研究所碩士論文。\n\n\n英文文獻\nAdrian, T., Markus K. Brunnermeier (2011), “CoVaR,” the National Bureau of Economic Research Working Paper No. 17454.\nAigner, D. J., C. A. Knox Lovell and P. Schmidt (1977), “Formulation and Estimation of Stochastic Frontier Production Function Models,” Journal of Econometrics, 6(1), 21-37.\nBalk, B. M. (1998), Industrial Price, Quantity, and Productivity Indices: The Micro-Economic Theory and an Application, Kluwer Academic Publishers, Boston/Dordrecht /London.\nBalk, B. M. (2001), “Scale Efficiency and Productivity Change,” Journal of Productivity Analysis, 15(3), 159-183.\nBarth, J. R., C. Lin, Y. Ma, J. Seade, F. M. Song (2013), “Do Bank Regulation, Supervision and Monitoring Enhance or Impede Bank Efficiency,” Journal of Banking and Finance, 37(8), 2879-2892.\nBattese, G. E. and T. J. Coelli (1995), “A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data,” Empirical Economics, 20(2), 325-332.\nBehr, Andreas (2010), “Quantile Regression for Robust Bank Efficiency Score Estimation,” European Journal of Operational Research, 200(2), 568-581.\nBokusheva, R. A. and H. Hockmann (2006), “Production Risk and Technical Inefficiency in Russian Agriculture,” European Review of Agricultural Economics, 33(1), 93-118.\nCaves, D. W., L. R. Christensen and W. E. Diewert (1982a), “Multilateral Comparisons of Output, Input and Productivity Using Superlative Index Numbers,” The Economic Journal, 92(365), 73-86.\nCaves, D. W., L. R. Christensen and W. E. Diewert (1982b), “The Economic Theory of Index Numbers and the Measurement of Input, Output and Productivity,” Econometrica, 50(6), 1393-1414.\nChen, Ku-Hsieh and Hao-Yen Yang (2010), “A Cross-Country Comparison of Productivity Growth Using the Generalised Metafrontier Malmquist Productivity Index with Application to Banking Industries in Taiwan and China,” Journal of Productivity Analysis, 35(3), 197–212.\nCoelli, T. J. (2000), “On the Econometric Estimation of the Distance Function Representation of a Production Technology,” Center for Operations Research and Econometrics Discussion Paper No. 2000042.\nCoelli, T. J., D. S. P. Rao, C. J. O’Donnell, G. E. Battese (2005), An introduction to efficiency and productivity analysis, Kluwer Academic Publishers, Boston/Dordrecht/London.\nDiewert, W. E. (1992), “Fisher Ideal Output, Input and Productivity Indexes Revisited,” Journal of Productivity Analysis, 3(3), 211-248.\nDiewert, W. E. (2000), “The Quadratic Approximation Lemma and Decompositions of Superlative Indexes,” Journal of economic and social measurement, 28(1), 63-88.\nFäre, R. and D. Primont (1995), Multi-Output Production and Duality: Theory and Applications, Kluwer Academic Publishers, Boston.\nFäre, R., S. Grosskopf, M. Norris and Z. Zhang (1994), “Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries,” The American Economic Review, 84(1), 66-83.\nFarrell, M. J. (1957), “The Measurement of Productive Efficiency,” Journal of the Royal Statistical Society, 120(3), 253-290.\nFeng, G. and A. Serletis (2010), “Efficiency, Technical Change, and Returns to Scale in Large US Banks: Panel Data Evidence from an Output Distance Function Satisfying Theoretical Regularity,” Journal of Banking and Finance, 34(1), 127–138.\nFried, H. O., S. S. Schmidt and S. Yaisawarng (1999), “Incorporating the Operating Environment into a Nonparametric Measure of Technical Efficiency,” Journal of Productivity Analysis, 12(3), 249-267.\nGrifell-Tatje ́, E. and C. A. K. Lovell (1999), “A Generalised Malmquist Productivity Index,” Sociedad Espanola de Estadistica e Investigacion Operativa, 7, 81-101.\nHasan, M. Z., A. A. Kamil, A. Mustafa, and M. A. Baten (2012), “A Cobb-Douglas Stochastic Frontier Model on Measuring Domestic Bank Efficiency in Malaysia, ” PLoS ONE, 7(8).\nHenningsen, A. and C. H. C. A. Henning (2009), “Imposing Regional Monotonicity on Translog Stochastic Production Frontiers with a Simple Three-Step Procedure,” Journal of Productivity Analysis, 32(3), 217–229.\nHicks, J. R. (1961), “Measurement of Capital in Relation to the Measurement of Other Economic Aggregates,” In F. A. Lutz and D. C. Hague (Eds.), The Theory of Capital, Macmillan, London.\nHoch, I. (1958), “Simultaneous Equation Bias in the Context of the Cobb-Douglas Production Function,” Econometrica, 26(4), 566-578.\nHuang, T. H., K. C. Chen and C. I. Lin (2017), “An Extension from Network DEA to Copula-Based Network SFA: Evidence from the U.S. Commercial Banks in 2009,” Quarterly Review of Economics and Finance, 67, 51-62.\nHuang, C. J., T. H. Huang and N. H. Liu (2014), “A New Approach to Estimating the Metafrontier Production Function Based On a Stochastic Frontier Framework,” Journal of Productivity Analysis, 42(3), 241-254.\nKoebel, B., M. Falk, and F. Laisney (2003), “ Imposing and Testing Curvature Conditions on a Box-Cox Cost Function,” Journal of Business and Economic Statistics, 21(2), 319–335.\nKumbhakar, S. C. and C. A. K. Lovell (2000), Stochastic Frontier Analysis, Cambridge University Press.\nLovell, C. A. Knox (2000), “Measuring Efficiency in the Public Sector,” in Public Provision and Performance, ed., L. T. Blank, North-Holland: Emerald Group Pub Ltd.\nLozano-Vivas, A., and F. Pasiouras (2010), “The Impact of Non-Traditional Activities on the Estimation of Bank Efficiency: International Evidence,” Journal of Banking and Finance, 34(7), 1436-1449.\nLu, Ying-Fang, C. Gan, B. Hu, M. Y. Toh, and D. A. Cohen (2019), “Bank Efficiency in New Zealand: a Stochastic Frontier Approach,” New Zealand Economic Papers, 53(2), 166-183.\nMalmquist, S. (1953), “Index Numbers and Indifference Surfaces,” Trabajos de Estadistica, 4, 209-242.\nMarschak, J. and W. H. Andrews (1944), “Random Simultaneous Equations and the Theory of Production,” Econometrica, 12(3/4), 143-205.\nMeeusen, W. and J. van den Broeck (1977), “Efficiency Estimation from Cobb-Douglas Production Functions With Composed Error,” International Economic Review, 18(2), 435-444.\nMoorsteen, R. H. (1961), “On Measuring Productive Potential and Relative Efficiency,” Quarterly Journal of Economics, 75(3), 451-467.\nMoreno, J., J. L. Gallizo, and M. Salvador (2011), “Bank Ownership and Efficiency in the New EU Members,” Modern Economy, 3, 68-72.\nOrea, L. (2002), “Parametric Decomposition of a Generalized Malmquist Productivity Index,” Journal of Productivity Analysis, 18(1), 5-22.\nO’Donnell, C. J., T. J. Coelli (2005), “A Bayesian Approach to Imposing Curvature on Distance Functions, ” Journal of Econometrics, 126(2), 493-523.\nPeng, Jin-Lung, V. Jeng, J. L. Wang, Yen-Chih Chen (2017), “The Impact of Bancassurance on Efficiency and Profitability of Banks: Evidence from the Banking Industry in Taiwan, ” Journal of Banking and Finance, 80, 1-13.\nRay, S. C. and E. Desli (1997), “ Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries: Comment,” The American Economic Review, 87(5), 1033-1039.\nRay, S. C. (1998), “Measuring Scale Efficiency from a Translog Production Function,” Journal of Productivity Analysis, 11(2), 183–194.\nRogers, K. E. (1998), “Nontraditional Activities and the Efficiency of US Commercial Banks,” Journal of Banking and Finance, 22(4), 467–482.\nSauer, J., K. Frohberg and H. Hockmann (2006), “Stochastic Efficiency Measurement: The Curse of Theoretical Consistency,” Journal of Applied Economics, 9(1), 139–165.\nSealey, C. W., Jr. and James T. Lindley (1977), “Inputs, Outputs, and a Theory of Production and Cost at Depository Financial Institutions,” The Journal of Finance, 32, 1251-1266.\nShephard, R. W. (1953), Cost and Production Functions, Princeton University Press.\nSiems, T. F. and J. A. Clark (1997), “Rethinking Bank Efficiency and Regulation: How Off-Balance-Sheet Activities Make a Difference,” Financial Industry Series, Federal Reserve Bank of Dallas.\nTangian, A. S. and J. Gruber (2002), Constructing and Applying Objective Functions, Springer, Berlin, 117–169.\nWheelock, D. C. and P. Wilson (1999), “Technical Progress, Inefficiency, and Productivity Change in U.S. Banking, 1984-1993,” Journal of Money, Credit and Banking, 31(2), 212–234.\nZofio, J. and C. A. K. Lovell (1999), “Yet Another Malmquist Productivity Index Decomposition,” Mimeo, Department of Economics, University of New South Wales, Sydney.; G0107258002; https://nccur.lib.nccu.edu.tw//handle/140.119/131177; https://nccur.lib.nccu.edu.tw/bitstream/140.119/131177/1/800201.pdf

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    المساهمون: 國立臺灣大學經濟學系, Department of Economics, National Taiwan University, 鄭秀玲, 陳欽奇, 劉錦添, Zhemg, X.L., Chen, Q.Q., Liu, J.T.

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    المؤلفون: 楊麗君, Yang, Li-Jiun

    المساهمون: 淡江大學產業經濟學系博士班, 朱雲鵬, Chu, Yun-Peng

    وصف الملف: 144 bytes; text/html

    Relation: References 一、中文部分 黃台心、陳盈秀與王美惠,2009,「我國與東亞諸國總體產效率與產力之研究」,經濟論文叢刊,37(2):379-414。 顏晃平、張靜文與吳榮杰 ,2011 ,「農會信用部成本效率與結構之衡量—不同技術水準間群組比較」, 農業經濟叢刊,17(1):41-75。 二、英文部分 Abramovitz M.,1986, “Catching Up, Forging Ahead and Falling Behind,” Journal of Economic History 46: 385-406. Aigner, D.J., and S.F. Chu, 1968, “On Estimating the Industry Production Function,” American Economic Review 58(4), 826-839. Aigner D.J., C.A.K. Lovell and P. Schmidt, 1977, “Formulation and Estimation of Stochastic Frontier Models,” Journal of Econometrics, 6, 21-37. Ahn, S., D. Good and R.C. Sickles (2000), “Estimation of Long-Run Inefficiency Levels: A Dynamic Frontier Approach,” Econometric Reviews 19: 461-492. Ahn, S. and J.W. Lee, 2007, “Integration and Growth in East Asia,” IMES Discussion Paper No. 2007-E-14. Alvarez, A. and J. Corral, 2010, “Identifying Different Technologies using a Latent Class Model: Extensive versus Intensive Dairy Farms,” European Review of Agricultural Economics, 37(2): 231-250. Amiti, M. and J. Konings, 2007, “Trade Liberalization, Intermediate Inputs, and Productivity: Evidence from Indonesia,” American Economic Review, 97(5): 1611-1638. Barro, R. J., 2001, “Human Capital and Growth’, American Economic Review,” 91, 12-17. Barro, R.J., 2001, “Economic Growth in East Asia Before and After the Financial Crisis,” NBER Working Papers 8330, National Bureau of Economic Research, Inc. Barro, R.J. and J.W. Lee, 2013, “A New Data Set of Educational Attainment in the World, 1950–2010,” Journal of Development Economics, 104:184-198 Barros, C.P., J. del Corral and P. Garcia-del-Barrio, 2009, “Identification of Segments of Soccer Clubs in the Spanish League First Division with a Latent Class Model,” Journal of Sports Economics, 9(5):451-469 Battese, G.E., and T. J. Coelli, 1988, “Prediction of Firm-Level Technical Efficiencies with a Generalized Frontier Production Function and Panel Data,” Journal of Econometrics 38(3/July), 387-399. Battese, G. E. and T.J. Coelli, 1992, “Frontier Production Functions, Technical Efficiency and Panel Data: with Application to Paddy Farmers in India,” Journal of Productivity Analysis, 3(1/2): 149-165. Battese, G.E., and T.J. Coelli, 1995, “A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data,” Empirical Economics 20(2), 325-332. Becchetti, L. and G. Trovato, 2011, “Corporate Social Responsibility and Firm Efficiency: A Latent Class Stochastic Frontier Analysis,” Journal of Productivity Analysis, 36(3):231-246. Beck, T., R. Levine and N. Loayza, 2000, “Finance and the Sources of Growth,” Journal of Financial Economics, 58, 261-300. Benhabib, J. and M.M. Spiegel, 1994, “The Role of Human Capital in Economic Development Evidence from Aggregate Cross-Country Data,” Journal of Monetary Economics, 34, 143-173. Bernard, A.B. and S.N. Durlauf, 1995, “Convergence in International Output,” Journal of Applied Econometrics, 10(2): 97-108. Besstremyannaya, G. 2011, “Managerial Performance and Cost Efficiency of Japanese Local Public Hospitals: A Latent Class Stochastic Frontier Model,” Health Economics, 20(S1): 19-34. Bhattacharjee A., E.de Castro and C Jensen-Butler .2009, ‘Regional variation in productivity: a study of the Danish economy’, Journal of Productivity Analysis, 31: 195–212. Caudill, S., 2003, “Estimating a Mixture of Stochastic Frontier Regression Models via the EM Algorithm: A Multiproduct Cost Function Application,” Empirical Economics, 28(3): 581-598. Chen, E. K. Y., 1997, “The Total Factor Productivity Debate: Determi¬nants of Economic Growth in East Asia,” Asian-Pacific Economic Literature Vol. 1: 18-38. Claessens,S. and M.A. Kose, 2013, “Financial Crises Explanations, Types, and Implications,” IMF Working Paper No. 13/28. Coelli, T. J. and G. E. Battese, 1996, “Identification of Factors which Influence the Technical Inefficiency of Indian Farmers,” Australian Journal of Agricultural Economics. 40: 103-128. Coelli, T. J., 1996a, “A Guide to FRONTIER Version 4.1: A Computer Program for Frontier Production Function Estimation,” CEPA Working Paper 96/07, Department of Econometrics, University of New England, Armidale, Australia. Coelli, T.J., D.S.P. Rao, C.J. O''Donnell and G.E. Battese, 2005, “An Introduction to Efficiency and Productivity Analysis,” Springer. Collins, S. and B. Bosworth, 1997, “Economic Growth in East Asia: Accumulation versus Assimilation,” Brookings Papers in Economic, 2, 135-203. Cullmann, A., 2012, “Benchmarking and Firm Heterogeneity: A Latent Class Analysis for German Electricity Distribution Companies,” Empirical Economics, 42(1): 147-169. De Gregorio, J. and P.E. Guidotti, 1995, “Financial Development and Economic Growth,” World Development, 23, 434-448. Deliktas E. and M. Balcilar, 2005, “A Comparative analysis of Productivity Growth, Catch-up and Convergence in Transition Economies,” Emerging Markets Finance and Trade, 41(1): 6-28. Dowrick, S. and D.T. Nguyen, 1989, “OECD Comparative Economic Growth 1950-85: Catch-up and Convergence,” American Economic Review, 79(5): 1010-1030. Durlauf, S.N. and P.A. Johnson, 1995, “Multiple Regimes and Cross‐country Growth Behaviour,” Journal of Applied econometrics, 10(4): 365-384. Diewert, W.E., 2008, “New Methodology for Linking Regional PPPs,” ICP Bulletin 5(2/August), 1, 10–22, 45. Duffy, J. and C., Papageorgiou, 2000, “A Cross-Country Empirical Investigation of the Aggregate Production Function Specification,” Journal of Economic Growth 5(1), 87-120. Easterly, W. and R. Levine, 2001, “It’s not Factor Accumulation: Stylized Facts and Growth Models,” World Bank Economic Review, vol. 15, no. 2, pp. 177–219. Evans, A.D., C.J. Green and V. Murinde, 2002, “Human Capital and Financial Development in Economic Growth: New Evidence Using the Translog Production Function,” International Journal of Finance and Economics, 7, 123-140. Fare, R., S. Grosskopf, M. Norris, and Z. Zhang, 1994, “Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries,” American Economic Review, 84(1):66-83. Ferreira, P., J. Issler and S. Pessoa, 2004, “Testing Production Functions Used in Empirical Growth Studies,” Economic Letters 83(1/April), 29-35. Felipe, J., 1999, “Total Factor Productivity Growth in East Asia: A Critical Survey,” Journal of Development Studies, v 35 n 4, 1-41. Greene, W., 2002, “Alternative Panel Data Estimators for Stochastic Frontier Models, ” Working Paper, Department of Economics, Stern School of Business, NYU. Greene, W., 2004, “Distinguishing between heterogeneity and inefficiency: `stochastic frontier analysis of the World Health Organization''s panel data on national health care systems,” Health Economics 13, 959-980. Greene, W., 2005a, “Fixed and Random Effects in Stochastic Frontier Models,” Journal of Productivity Analysis, Vol. 23: 7-32 Greene, W., 2005b, “Reconsidering Heterogeneity in Panel Data Estimators of the Stochastic Frontier Model,” Journal of Econometrics, 126(2): 269-303. Hadri, K., 1999, “Estimation of a Doubly Heteroscedastic Stochastic Frontier Cost Function,” Journal of Business & Economic Statistics 17(3/July), 359-363. Han, G., K.P. Kalirajan and N. Singh (2002), “Productivity and Economic Growth in East Asia: Innovation, Efficiency and Accumulation”, Japan and the World Economy, 14, 401-424. Han, G., K.P. Kalirajan and N. Singh , 2004, ‘Productivity, Efficiency and Economic Growth: East Asia and the Rest of the World’, Journal of Developing Areas, 37, 99-117. Henderson, D.J. and R.R. Russell , 2005, ‘Human Capital and Convergence: A Production- Frontier Approach’, International Economic Review 46(4): 1167-1205. Heston A., R. Summers and B. Aten , 2013, ‘Penn World Table Version 8.0’, Center for International Comparisons of Production, Income and Prices at the University of Pennsylvania. URL http://pwt.econ.upenn.edu/. Hsieh, C.T. and P.J. Klenow, 2009, “Misallocation and Manufacturing TFP in China and India,” Quarterly Journal of Economics, 124(4): 1403-1448. Huang, C.J. and J.T. Liu, 1994, “Estimation of a non-neutral stochastic frontier production function,” Journal of Productivity Analysis, 5, 171-180. Islam, N., 1995, “Growth Empirics: A Panel Data Approach,” Quarterly Journal of Economics, 110, 1127-1170. Jayasuriya, R. and Q. Wodon, 2005, ‘Measuring and Explaining the Impact of Productive Efficiency on Economic Development’, World Bank Economic Review Volume 19, Issue 1, 121 – 139. Jones, C. I., 1997, “On the Evolution of the World Income Distribution,” Journal of Economic Perspectives, 11: 19-36. Kim, J.I. and L.J. Lau, 1994, “The Sources of Economic Growth in the East Asian Newly Industrialized Countries,” Journal of Japanese and Inter-national Economics 8(3): 235-271. Kneller, R. and A. Stevens, 2003, “The Specification of the Aggregate Production Function in the Presence of Inefficiency,” Economics Letters, 81: 223-226. Koetter, M., and T. Poghosyan, 2009, “The Identification of Technology Regimes in Banking: Implications for the Market Power-Financial Fragility Nexus,” Journal of Banking and Finance, 33:1413-1422. Koop, G., J. Osiewalski and M. Steel, 1999, “The Components of Output Growth: A Stochastic Frontier Analysis,” Oxford Bulletin of Economics and Statistics, 61(4):455-487. Koop, G., J. Osiewalski and M. Steel, 2000, “Modeling the Sources of Output Growth in a Panel of Countries,” Journal of Business & Economic Statistics, 18(3): 284-299. Koopmans, T.C., 1951, “An Analysis of Production as an Efficient Combination of Activities.” In: Koopmans, T.C. ed. Activity Analysis of Production and Allocation. New York: Wiley, pp.33 Kumar, S. and R. R. Russell, 2002, “Technological Change, Technological Catchup, and Capital Deepening: Relative Contributions to Growth and Convergence,” American Economic Review, 92(3):527-548. Kumbhakar, S.C., 1990, “Production Frontiers, Panel Data and Time-Varying Technical Inefficiency’” Journal of Econometrics 46(1-2/October-November), 201-212. Kumbhakar, S.C., S. Ghosh and J.T. McGuckin, 1991, “A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in US Dairy Farms,” Journal of Business and Economic Statistics 9(3/July), 279-286. Kumbhakar, S.C. and C.A.K., Lovell, 2000, “Stochastic Frontier Analysis,” Cambridge: Cambridge University Press. Kumbhakar, S.C. and H.J. Wang, 2005, “Estimation of Growth Convergence Using a Stochastic Production Frontier Approach,” Economics Letters, 88: 300-305. Laeven, L. and F. Valencia, 2013, “Systemic Banking Crises Database,” IMF Economic Review, 61 (2):225-270. Lee, Y.H. and P. Schmidt, 1993, “A production frontier model with flexible temporal variation in technical inefficiency, “ in H.O. Fried, C.A.K. Lovell, and S.S. Schmidt, eds., The Measurement of Productive Efficiency: Techniques and Applications, New York: Oxford University Press. Levine, R., 1997, “Financial Development and Economic Growth: Views and Agenda,” Journal of Economic Literature, 35(2): 688-726. Levine, R. and S. Zervos,, 1998, “Stock Markets, Banks and Economic Growth,” American Economic Review, 88, 537- 558. Levine, R., N. Loayza and T. Beck, 2000, “Financial Intermediation and Growth: Causality and Causes,” Journal of Monetary Economics, 46, 31-77. Lin, B. and K. Du, 2014, “Measuring Energy Efficiency under Heterogeneous Technologies Using a Latent Class Stochastic Frontier Approach: An application to Chinese Energy Economy,” Energy, 76(1): 884-890. Lucas, R. E., 1988, “On the Mechanics of Economic Development,” Journal of Monetary Economics, 22, 3-42. Mankiw, N.G., D. Romer and D.N. Weil, 1992, “A Contribution to the Empirics of Economic Growth," Quarterly Journal of Economics, 107, 407-437. Meeusen, W. and J. van den Broeck,1977, “Efficiency Estimation form Cobb-Douglas Production Functions with Composed Error,” International Economic Review, 18, 435-444. Orea, L. and S.C. Kumbhakar, 2004, “Efficiency Measurement Using a Latent Class Stochastic Frontier Model,” Empirical Economics, 29(1): 169-183. Pavcnik, N., 2002, “Trade Liberalization, Exit, and Productivity Improvements: Evidence from Chilean Plants,” Review of Economic Studies, 69(1): 245-276. Pires, J.O. and F. Garcia, 2012, “Productivity of Nations: A Stochastic Frontier Approach to TFP Decomposition,” Economics Research International, Volume 2012: 1-19. Pitt, M. and L.F. Lee, 1981, “The Measurement and Sources of Technical Inefficiency in the Indonesian Weaving Industry,” Journal of Development Economics 9(1/August),43-64. Poghosyan,T. and S.C. Kumbhakar, 2010, “Heterogeneity of Technological Regimes and Banking Efficiency in Former Socialist Economies,” Journal of Productivity Analysis, 33(1): 19-31. Psacharopoulos, G. 1994, “Returns to Investment in Education: A Global Update,” World Development, 22(9): 1325-1343. Sala-i-Martin, X.X., 1996,“The Classical Approach to Convergence Analysis,” Economic Journal, 106:1019-1036. Schmidt, P. and C.A.K. Lovell, 1980, “Estimating Stochastic Production and Cost Frontiers when Technical and Allocative Inefficiency are Correlated,” Journal of Econometrics 13, X3-100. Schmidt, P., 1986, “Frontier Production Functions,” Econometric Reviews, 4, 289-328. Schmidt, P., 2011, “One-step and Two-step Estimation in SFA Models,” Journal of Productivity Analysis, 36(2): 201-203. Solow, R.M., 1957, “Technical Change and the Aggregate Production Function,” Review of Economics and Statistics, 39:312-320. Sotoudeh, M.A. and A.C. Worthington, 2015, “Macroeconomy and Financial Market Effects of Oil Price Changes: A Comparison of Large Net Oil-Producer and Oil-Consumer Countries,” Economic Papers, 34(1-2): 11-22. Stevenson, R.E., 1980, “Likelihood Functions for Generalized Stochastic Frontier Estimation,” Journal of Econometrics 13(1/May), 57-66. Tybout, J.R. and M.D. Westbrook, 1995, “Trade Liberalization and the Dimensions of Efficiency Change in Mexican Manufacturing Industries,” Journal of International Economics, 39(1-2):53-78. Wang, H., 2002, “Heteroscedasticity and Non-Monotonic Efficiency Effects of A Stochastic Frontier Model,” Journal of Productivity Analysis 18 (3), 241-253. Wang H.J. and P. Schmidt, 2002, “One-step and Two-step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels,” Journal of Productivity Analysis, 18(1): 129–144. Wang, H. and C.W. Ho, 2010, “Estimating Fixed-Effect Panel Stochastic Frontier Models by Model Transformation,” Journal of Econometrics, 2010, 157 (2), 289-96. World Bank, 1993, “The East Asian Miracle,” Oxford University Press. Wu, Y., 2004, “Openness, Productivity and Growth in the APEC Economies,” Empirical Economics, 29, 593-604. Young, A. , 1992, “A Tale of Two Cities: Factor Accumulation and Technical Change in Hong Kong and Singapore,” In NBER Studies in Macroeconomics Annual, Blanchard 0, S Fischer. ( eds.), MIT Press: Cambridge. Young, A., 1994, “Lessons form the East Asian NICs: A Contrarian View,” European Economic Review 38: 964-973. Young, A., 1995, “The Tyranny of Numbers: Confronting the Statistical Realities of the East Asian Growth Experience”, Quarterly Journal of Economics 110: 641-680.; U0002-0606201716524700; http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/114107; http://tkuir.lib.tku.edu.tw:8080/dspace/bitstream/987654321/114107/1/index.html

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    المؤلفون: 廖峰毅, Liao, Fong-Yi

    المساهمون: 淡江大學財務金融學系博士班, 邱永和, 李命志, CHIU, Yung-Ho, LEE, Ming-Chih

    وصف الملف: 144 bytes; text/html

    Relation: 參考文獻 一、中文部分 [1]王云汝(2012),「台灣光電產業效率分析-應用Hybrid DEA」。碩士論文,東吳大學,經濟學系。 [2]史筱璋(2014),「機場櫃檯使用績效評估指標之研究」,碩士論文,開南大學,觀光運輸學系。 [3]白忠哲(2010),「整合型績效評估模式研究-以薄膜電晶體液晶顯示器產業為例」。博士論文,國立交通大學,工業工程與管理學系。 [4]何思瑩(2010),「以平衡計分卡為基礎之資料包絡分析法績效評估-以台灣半導體通路商為例」。碩士論文,中華大學,經營管理研究所。 [5]沈岳昌(2011),「核心競爭力與經濟績效關聯性之研究-以台灣智慧型手機產業為例」。碩士論文,輔仁大學,科技管理學系。 [6]李子源(2014),「台資金融機構西進大陸之風險指標」,碩士論文,東吳大學,企業管理系。 [7]李揚與鐘棠祺(2015) ,「半導體產業之績效評估-跨國分析與比較」。東吳經濟學報89期 頁61-88。 [8]林大隆(2012),「金融海嘯後台灣半導體業之績效評估」,碩士論文,元培科技大學,企業管理研究所。 [9]林宜螢(2010),「以平衡計分卡導入半導體產業人員績效評估-以台灣積體電路股份有限公司為例」,碩士論文,中華科技大學,經營管理系。 [10]林聖齡(2011),「探討台灣智慧型手機產業之競爭策略」。碩士論文,國立中央大學,產業經濟學系。 [11]吳立文(2014),「以空間語法結合DEA-DA為基礎分析建築工程施工作業要徑空間與衝突解析之研究」,博士論文,台灣大學,土木工程學系。 [12]邱仲軒(2013),「品牌形象與顧客忠誠度之關係研究-以台灣智慧型手機使用者為例」。碩士論文,大葉大學,管理學系。 [13]胡博婷(2012),「手機產業競爭策略群組研究」。碩士論文,中原大學,企業管理研究所。 [14]胡煐雀(2014),「基金經理人更換對績效、風險與周轉率的影響」。碩士論文,大葉大學,管理學系。 [15]洪永祥(2003),「銀行服務品質之績效評估」,博士論文,國立交通大學,工業工程與管理學系。 [16]徐孝義(2010),「美國連鎖加盟餐廳績效評估-價值鏈資料包絡模型分析」。博士論文,東吳大學,經濟學系。 [17]徐慧娟(2008),「應用資料包絡分析法於經營績效之研究-以筆記型電腦產業為例」。碩士論文,朝陽科技大學,企業管理系。 [18]袁偉玲(2014),「接器廠商產績效評估-以C公司為例」。碩士論文,東吳大學,經濟學系。 [19]連敏芳(2007),「台灣與全球半導體產業效率及產力之比較」。碩士論文,國立交通大學,管理學院管理科學組。 [20]張偉琳(2010),「半導體產業專利權、研發支出與廠商績效評估-運用價值鏈DEA」。碩士論文,東吳大學,經濟學系。 [21]張郁敏(2013),「臺灣半導體產業績效評估-運用二階段資料包絡法 Leader-Follower Model」。碩士論文,東吳大學,經濟學系。 [22]黃國晉(2006),「資料包絡與麥氏分析法之應用―以國內半導體產業為例」。碩士論文,長庚大學,企業管理研究所。 [23]黃文旺(2008),「台灣半導體產業經營效率分析-三階段資料包絡分析法之應用」,碩士論文,中央大學,產業經濟研究所。 [24]黃舒瑜(2009),「台灣半導體產業效率與產力分析:三階段Malmquist產力指數法」。碩士論文,臺北大學,經濟學系。 [25]陳文治(2012),「台灣智慧型手機產業由代工轉型到自創品牌之行銷策略分析-以H 公司為例」。碩士論文,國立中央大學,資訊管理學系。 [26]陳欣宜(2014),「快速流通消費品產業物流績效評估-以L 公司為例」。碩士論文,東吳大學,經營管理學系。 [27]陳和開(2015) ,「國民小學學校效率量數之探討:SFA與DEA之比較」。博士論文,高雄師範大學,教育學系。 [28]楊美蘭(2005),「台灣IC設計業研發效率與影響因子」。碩士論文,政治大學,經濟研究所。 [29]熊天鈞(2008),「產效率之研究以台灣IC設計產業為例」。碩士論文,台灣大學,經濟研究所。 [30]鄧肇中(2008),「積體電路設計產業績效評估」。碩士論文,東吳大學,經濟研究所。 [31]歐建良(2007),「應用資料包絡法評估IC封裝廠工單部門資源分配效率」。碩士論文,高雄應用科技大學,工業工程與管理系。 [32]蔡孟其(2010),「資料包絡分析法應用於台灣手機製造商營運績效之評估」。碩士論文,國立台灣海洋大學,航運管理學系。 [33]蔡佩珊(2012),「服務創新與品牌形象對購買意願、顧客滿意度影響之探討-以台灣智慧型手機使用者實證研究」。碩士論文,國立臺灣師範大學,工業教育學系。 [34]盧清城(2014),「應用二階段DEA賽局模型評估台灣半導體產業績效」。博士論文,東吳大學,經濟學系。 [35]賴彥臻(2011),「我國筆記型電腦產業經營績效分析-資料包絡分析法」。碩士論文,樹德科技大學,金融與風險管理學系。 [36]魏嘉伶(2005),「以資料包絡分析法評估創新資本投入對企業經營績效之影響-以我國IC設計業為例」。碩士論文,大葉大學,會計資訊學系。 [37]簡元堂(2007) ,「台灣電子連接器產業的創新策略與經營績效及其相關因素之研究」。碩士論文,世新大學,資訊傳播學系。 [38]蕭瑛傑(2015) ,「兩岸晶圓代工製造業之產力分析」。碩士論文,政治大學,經濟學系。 [39]蕭伶倢(2015),「台灣半導體績效評估-兩階段DEA之應用」。碩士論文,東吳大學,經濟學系。 二、英文部分 [1]Andersen, P. and N.C. Petersen (1993), ”A Procedure for Ranking EfficientUnits in Data Envelopment Analysis,” Management Science, Vol.39, pp.1261-1264. [2]Banker, R. D., A. Charnes and W. W. Cooper (1984), ”Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis, "Management Science, Vol. 30, pp.1078-1092. [3]Barr, A.J. and J.H. Goodnight (1970), ”Statistical Analysis System,” SASInstitute Inc., Cary, NC, USA. [4]Charnes, A., W. W. Cooper and E. Rhodes (1978), “Measuring the Efficiency ofDecision Making Units, "European Journal of Operational Research, Vol. 2, pp. 429-444. [5]Charnes, A., W. W. Cooper and E. Rhodes (1979), “Short Communication: Measuring Efficiency of Decision-Making Units, "European Journal of Operational Research, Vol. 3, pp. 339. [6]Charles, V. and M. Kumar (2011), “Measuring the Efficiency of Assembled Printed Circuit Boards with Undesirable Outputs using Two-stage DataEnvelopment Analysis,” International Journal of Production Economics, pp.545-552. [7]Chena, Yu-Shan, and Bi-Yu Chen (2011) “Applying DEA, MPI, and grey model to explore the operation performance of the Taiwanese wafer fabrication industry,”Technological Forecasting and Social Change, Vol. 78, pp.536–546 [8]Chen, Yu-Shan, and Bi-Yu Chen (2009), “Using data envelopment analysis (DEA) to evaluate the operational performance of the wafer fabrication industry in Taiwan:IMS,”Journal of Manufacturing Technology Management, Vol. 20, 475-488. [9]Chen, Wen-Chih, and Chen-Fu Chien (2009), “Measuring relative performance of wafer fabrication operations: a case study,” Journal Intell Manuf vol. 22 pp.447–457. [10]Chu, Mei-tai, Joesph Z. Shyu, and R. Khosla (2008),“Measuring the relative performance for leading fabless firms by using data envelopment analysis,” Journal of Intelligent Manufacturing Vol. 19, 257-272. [11]Cooper, W.W., K.S. Park and G. Yu (2001), ”An Illustrative Application of IDEA (Imprecise Data Envelopment Analysis) to a Korean Mobile Telecommunication Company,” Operations Research, Vol.49, pp.807-820. [12]Cui, Q. and Y. Li (2014), “The Evaluation of Transportation Energy Efficiency: an Application of Three-stage Virtual Frontier DEA,”Transportation Reasearch Part:D Transport and Environment, Vol. 29, pp.1-11. [13]Dolage, D. A. R. and A.B.Sade (2012), “A Frontier Approach to Measuring Impact of Adoption of Flexible Manufacturing Technology on Technical Efficiency of Malaysian Manufacturing Industry,” Technology and Investment, Vol.3, pp.266-275. [14]Fan, P. (2010), “Catching-up Through Staged Development and Innovation –the Case of Chinese Telecom Companies,” Journal of Science andTechnology Policy in China, Vol.1, pp.64-91. [15]Farrell, M. J. (1957), “The Measurement of Productive Efficiency,” Journal of the Royal Statistical Society, Vol.120, pp. 253-281. [16]Fare, R., S. Grosskopf and G. Whittaker (2007), ”Network Data Envelopment Analysis,” Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis, pp. 209-240. [17]Fare, R., S. Grosskopf, M. Norris and Z. Zhang (1994), “Productivity Growth Technical Progress and Efficiency Change in Industrialized Countries,” The American Economic Review, Vol. 84, pp.66-83. [18]Liu, Fuh-Hwa Franklin, and Peng-hsiang Wang (2008), “DEA Malmquist productivity measure: Taiwanese semiconductor companies, ” Int. J. Production Economics, Vol.112, pp.367–379 [19]Hon, J.S. and S.J Chu (2011), “Performance Assessment Between TAIWAN and KOREA TFT-LCD Panel Industry from a Risk and Return Perspective Before and After Global Financial Crisis,” International Journal of Electronic Business Management, Vol.9, pp.81-94. [20]Hung, Shiu-Wan and Wen-Min Lu (2008),“The Comparative Productivity Efficiency of Taiwan''s Integrated Circuits Packaging/Testing Firms,” INFOR, Vol. 46, pp.189-198. [21]Huang, Chi-Yo, Gwo-Hshiung Tzeng, Yun-Ting Chen , and Hueiling Chen (2012), “Performance evaluation of leading fablessintegrated circuit design houses by usinga multiple objective programming based data envelopment analysis approach, ” Journal of Innovative Computing, Information and Control ICIC International, Vol.8 pp.5899-5916 [22]Jaroslava Kádárová, Michaela Durkáčová, Katarína Teplická, and Gabriel Kádár(2015), “The Proposal of an Innovative Integrated BSC – DEA Model, ”Procedia Economics and Finance, Vol. 23, pp.1503–1508 [23]Kang, H.Y. and A.H.I. Lee (2010), “A New Supplier Performance Evaluation Model-A Case Study of Integrated Circuit (IC) Packaging Companies,” Kybernetes, Vol.39, pp.37-54. [24]Kao, L.J., C.C. Lu and C.C. Chiu (2011), “The Training Institution Efficiency of the Semiconductor Institute Programme in Taiwan-Application of Spatiotemporal ICA with DEA Approach, ”The Journal of the Operational Research Society, Vol.62, pp. 2162-2172. [25]Kheirkhah, A., A. Azadeh, M. Saberi, A. Azaron and H. Shakouri (2013), “Improved Estimation of Electricity Demand Function by Using of Artifical Nneural Network, Principal Component Analysis and Data Envelopment Analysis,” Computers & Industrial Engineering, Vol.64, pp.425-441. [26]Kao, Ling-Jing, Shu-Yu Chiu, and Hsien-Tang Ko (2014), “A Study of the Talent Training Project Management for Semiconductor Industry in Taiwan: The Application of a Hybrid Data Envelopment Analysis Approach, ” The Scientific World Journal, Vol. 2014. [27]Le, Cheng-Wen and Tsai-Lun Ch (2015), “The study on corporate social responsibility and corporate profitthe case of semiconductor industry in Taiwan, ” Journal of Research in Finance and Marketing, Vol. 5 Issue 10. [28]Lin, Y.H., C.C. Chen, C.F.M. Tsai, and M.L. Tseng (2014), “Balanced Scorecard Performance Evaluation in Closed-loop Hierarchical Model Under Uncertainly,” Applied Soft Computing, Vol.24, pp.1022-1032. [29]Liu, H.H., T.Y. Chen, Y.H. Chiu and F.H Kuo (2013), “A Comparison of Three-stage DEA and Artificial Neural Network on the Operational Efficiency of Semi-conductor Firms in Taiwan,” Modern Economy, Vol.4, pp.20-31. [30]Moreno, P. , S. Lozano, and E. Gutierrez6 (2013), “Dynamic Performance Analysis of U.S. Wireline Telecommunication Companies,” Telecommunication Policy, Vol.37, pp.469-482. [31]Neshati, R.(2013) “Benchmarking R&D in the semiconductor industry using DEA, ” Technology Management in the IT-Driven Services (PICMET), Vol. 13 pp.2749–2756 [32]Nigam, V., T. Thakur, V.K. Sethi, and R.P. Singh (2012), “Benchmarking of Indian Mobile Telecom Operators Using DEA with Sensitivity Analysis,”Benchmarking An International Journal, Vol.19, pp.219-238. [33]Pan, Wei-Hwa, Yuan-Yao Feng, Yueh-Chuen Huang and Yan-Kwang Chen (2008), “Performance review of Taiwanese IC design industry: DEA-based Malmquist productivity measure,”Journal WSEAS Transactions on Computers archive, Vol. 7, pp.1291-1299 [34]Salleh, W.A.B., W.M.W. Mahmood, F. Sufian, E.M.M. Jamarudi, G.K.S. Nair, and S. Ahmad (2013), “The efficiency of mergers and acquisitions in Malaysia based telecommunication companies,” Asian Social Science, Vol.9, pp.12-23. [35]Syue, Shu-You, Yi-Chung Hsu, and Meng-Fen Hsieh (2014), “The Performance of Taiwanese Semiconductor Industry and Stock Price,” Economic Management Journal, Vol. 3, pp.63-70 [36]Shaverdi, M., M.R. Heshmati and I. Ramezani (2014), “Application of fuzzy AHP Approach for Financial Performance Evaluation of Iranian Petrochemical Sector,” Information Technology and Quantitative Management, Vol. 31, pp.995-1004. [37]Sun Chia-Chi and Grace Lin T. R. (2009), “Using DEA Windows Analysis to Estimate Taiwan Hsinchu Science Park Operational Performance, ” Journal of Management and Science, Vol.6, pp.51-69 [38]Talas, E., A.K. Celik, F. Cakmak, F.A. Kocacan and A. Karaibrahimoglu (2013), “Relative Efficiency Measurement of Enterprises Operating in the Oltu Stone Industry Using Data Envelopment Analysis,” International Journal of Business and Management, Vol.8, pp.115-127. [39]Tessa, Vanina Soetanto, and Liem Pei Fun (2015),“Super Slack-Based Model Efficiency and Stock Performance of Manufacturing Industry Listed in Indonesian Stock Exchange, ”Procedia - Social and Behavioral Sciences, Vol. 211 pp. 1231–1239 [40]Tone, K. (2001), “A Slacks-Based Measure of Efficiency in Data Envelopment Analysis,” European Journal of Operational Research, Vol. 130, pp.498-509. [41]Tone, K. (2002), “A Slacks-based Measure of Super-efficiency in Data Envelopment Analysis,” European Journal of Operational Research, Vol. 143, pp.32-41. [42]Tone, K. and M. Tsutsui (2009), “Network DEA: A Slacks Based Measurement Approach,” European Journal of Operational Research, Vol. 197, pp.243-252. [43]Tone, K. and M. Tsutsui (2014), “Dynamic DEA with Network Structure: A Slacks-Based Measure Approach,” Omega, Vol. 42, pp. 124-131. [44]Wanke, P. and C. Barros (2014), “Two-stage DEA: an Application to Major Brazilian Banks,” Expert Systems with Applications, Vol.41, pp.2337-2344. [45]Wu, Desheng Dash and Bruce Ho. Chien-Ta (2007),“Productivity and efficiency analysis of Taiwan''s integrated circuit industry,” International Journal of Productivity and Performance Management, Vol. 56, pp.715-730. [46]Yang, C.F., C.C. Pa and Z.Y. Lee (2012), “Perforance Assessment of the Top Ten TFT-LCD Manufacturers,” International Journal of Electronic Business Management, Vol. 10, pp.85-100. 三、網路資料部分 北美智權報網址http://www.naipo.com/Portals/1/web_tw/Knowledge_Center/Industry_Economy/publish-374.htm 資策會產業研究所網址 http://mic.iii.org.tw/micnew/Default.aspx 工業研究院網址 https://www.itri.org.tw/; U0002-1606201615221200; http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/110682; http://tkuir.lib.tku.edu.tw:8080/dspace/bitstream/987654321/110682/1/index.html

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