參考文獻 |
參考文獻
英文部分
Admaster Co. Ltd. Beijing, 2015. P2P Investor Behavior White Paper. http://www.useit.com.cn/thread-11180-1-1.html. (accessed June 2017).
Ali, A., Seiford, L. M., 1990. Translation Invariance in Data Envelopment Analysis. Operations Research Letters 9(6), 403–405.
Amin, S., Rai, A. S., & Topa, G. (2003). Does microcredit reach the poor and vulnerable? evidence from northern bangladesh. Journal of Development Economics, 70(1), 59-82.
Amirteimoori, A., Kordrostami, S., & Sarparast, M. (2006). Modeling undesirable factors in data envelopment analysis. Applied Mathematics and Computation, 180(2), 444-452.
Amoretti, M., Bisi, M., Zanichelli, F., Conte, G. (2005) Introducing secure peergroups in SP2A Proceedings. Second International Workshop on Hot Topics in Peer-to-Peer Systems, HOT-P2P 2005,1517792, pp. 62-71.
Angelucci, M., Karlan, D., & Zinman, J. (2015). Microcredit impacts: Evidence from a randomized microcredit program placement experiment by compartamos banco. American Economic Journal: Applied Economics, 7(1), 151-182.
Badau, F., 2015. Ranking Trade Resistance Variables Using Data Envelopment Analysis. European Journal of Operational Research 247(3), 978–986.
Banker, R. D., Morey, R. C., 1986. Efficiency Analysis for Exogenously Fixed Inputs and Outputs. Operations Research 34(4), 513–521.
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.
Besley, T., & Coate, S. (1995). Group lending, repayment incentives and social collateral. Journal of Development Economics, 46(1), 1-18.
Biener, C., Eling, M., 2011. The Performance of Microinsurance Programs: A Data Envelopment Analysis. The Journal of Risk and Insurance 78(1), 83–115.
Bradley, S. W., McMullen, J. S., Artz, K., & Simiyu, E. M. (2012). Capital is not enough: Innovation in developing economies. Journal of Management Studies, 49(4), 684-717.
Brockett, P. L., Cooper, W. W., Golden, L. L., Rousseau, J. J., Wang, Y., 2005. Financial Intermediary versus Production Approach to Efficiency of Marketing Distribution Systems and Organizational Structure of Insurance Companies. The Journal of Risk and Insurance 72(3), 393–412.
Building Inclusive Financial Sectors for Development,作者:United Nations. Department of Economic and Social Affairs,United Nations Capital Development Fund.
Camanho, A. S., Portela, M. C., Vaz, C. B., 2009. Efficiency Analysis Accounting For Internal and External Non-Discretionary Factors. Computers and Operations Research 36(5), 1591–1601.
Charnes, A., Cooper, W. W., 1962. Programming with Linear Fractional Functionals. Naval Research Logistics Quarterly 15, 333–334.
Charnes, A., Cooper, W. W., Rhodes, E., 1978. Measuring the Efficiency of Decision-Making Units. European Journal of Operational Research 2(6), 429–444.
Chen, D., Li, X., & Lai, F. (2017). Gender discrimination in online peer-to-peer credit lending: Evidence from a lending platform in china. Electronic Commerce Research, 17(4), 553-583.
Chen, X., Zhou, L., Wan, D., 2016. Group Social Capital and Lending Outcomes in the Financial Credit Market: An Empirical Study of Online Peer-to-Peer Lending. Electronic Commerce Research and Applications 15, 1-13.
Cui, L., Jiao, Y., Bai, L., Rossi, L., Hancock, E. R. 2017. Adaptive Feature Selection Based on the Most Informative Graph-Based Features. Lecture Notes in Computer Science, 10310, 276-287.
Cummins, J. D., Zi, H., 1998. Comparison of Frontier Efficiency Methods: An Application to the U.S. Life Insurance Industry. Journal of Productivity Analysis 10(2), 131–152.
Emekter, R., Tu, Y., Jirasakuldech, B., Lu, M., 2015. Evaluating Credit Risk and Loan Performance in Online Peer-To-Peer (P2P) Lending. Applied Economics 47(1), 54–70.
Feller, J., Gleasure, R., Treacy, S., 2017. Information Sharing and User Behavior in Internet-Enabled Peer-To-Peer Lending Systems: An Empirical Study. Journal of Information Technology 32(2), 127–146.
Foster, I. (2001). The anatomy of the grid: Enabling scalable virtual organizations. Paper presented at the 6-7.
Gao, G.-X., Fan, Z.-P., Fang, X., Lim, Y.F. (2018). Optimal Stackelberg strategies for financing a supply chain through online peer-to-peer lending. European Journal of Operational Research, 267(2), pp. 585-597.
Gutiérrez-Nieto, B., Serrano-Cinca, C., & Mar Molinero, C. (2007). Microfinance institutions and efficiency. Omega, 35(2), 131-142.
Gutierrez-Nieto, B., Serrano-Cinca, C., Molinero, C. M., 2009. Social Efficiency in Microfinance Institutions. Journal of the Operational Research Society 60(1), 104-119.
Haq, M., Skully, M., Pathan, S., 2010. Efficiency of Microfinance Institutions: A Data Envelopment Analysis. Asia-Pacific Financial Markets 17(1), 63-97.
Huang, R.H. (2018), Online P2P Lending and Regulatory Responses in China: Opportunities and Challenges. European Business Organization Law Review 19(1), pp. 63-92.
Jahanshahloo, G. R., Lotfi, F. H., Shoja, N., Tohidi, G., & Razavyan, S. (2005). Undesirable inputs and outputs in DEA models. Applied Mathematics and Computation, 169(2), 917-925.
Lee, E., Lee., B., 2012. Herding Behavior in Online P2P Lending: An Empirical Investigation. Electronic Commerce Research and Applications 11(5), 495–503.
Li, Y., So, J., Yuan, J. (2018) VOLUNTARY VERIFIABLE INFORMATION DISCLOSURE AND LOAN FUNDING PERFORMANCE: EVIDENCE FROM PAIPAIDAI IN CHINA. Singapore Economic Review, pp. 1-23.
Lin, M., 2009. Peer-To-Peer Lending: An Empirical Study. 15th Americas Conference on Information Systems. San Francisco: Association for Information Systems.
Liu, W. B., Meng, W., Li, X. X., & Zhang, D. Q. (2010). DEA models with undesirable inputs and outputs. Annals of Operations Research, 173(1), 177-194.
Liu, W. B., Meng, W., Li, X. X., Zhang, D. Q., 2010. DEA Models with Undesirable Inputs and Outputs. Annals of Operations Research 173(1), 177–194.
Liu, W., & Xia, L. (2017). An evolutionary behavior forecasting model for online lenders and borrowers in peer-to-peer lending. Asia - Pacific Journal of Operational Research, 34(1), 1.
Lovell, C. A. K., Pastor, J. T., 1995. Units Invariant and Translation Invariant DEA Models. Operations Research Letters 18(3), 147–151.
Lozano, S., Villa, G., Adenso-Dı́az, B., 2004. Centralised Target Setting for Regional Recycling Operations Using DEA. Omega 32(2), 101–110.
Luke, D., Jackson, M., Yu Y., 2015. The Rise of Peer-to-peer Lending in China: An Overview and Survey Case Study. The Association of Chartered Certified Accountants. www.accaglobal.com/content/dam/ACCA.../ea-china-p2p-lending.pdf.
Malekipirbazari, M., Aksakalli, V., 2015. Risk Assessment in Social Lending Via Random Forests. Expert Systems with Applications 42(10), 4621–4631.
Miller, S. M., Noulas, A. G., 1996. The Technical Efficiency of Large Bank Production. Journal of Banking and Finance 20(3), 495–509.
Moniruzzaman, M. (2011). Group management and empowerment: Lessons from development NGOs in bangladesh. Journal of South Asian Development, 6(1), 67-91.
Muñiz, M. A., 2002. Separating Managerial Inefficiency and External Conditions in Data Envelopment Analysis. European Journal of Operational Research 143(3), 625–643.
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.
Oral, M., Yolalan, R., 1990. An Empirical Study on Measuring Operating Efficiency and Profitability of Bank Branches. European Journal of Operational Research 46(3), 282–294.
Patel, V., & Kleinman, A. (2003). Poverty and common mental disorders in developing countries. Bulletin of the World Health Organization, 81(8), 609.
Portela, M. C. A. S., Thanassoulis, E., Simpson, G., 2004. Negative Data in DEA: A Directional Distance Approach Applied to Bank Branches. The Journal of the Operational Research Society 55(10), 1111–1121.
Pritschet, L., Powell, D., Horne, Z., 2016. Marginally Significant Effects as Evidence for Hypotheses: Changing Attitudes Over Four Decades. Psychological Science 27(7), 1036-1042.
Rankin, K. N. (2001). Governing development: Neoliberalism, microcredit, and rational economic woman. Economy and Society, 30(1), 18-37.
Rowstron, A., Druschel, P. (2001). Pastry: Scalable, decentralized object location, and routing for large-scale peer-to-peer systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)2218, pp. 329-350.
Schmitz, S., & Lekane Tsobgou, D. (2016). Developing tourism products and new partnerships through participatory action research in rural cameroon: Developing tourism in rural cameroon. Geographical Research, 54(2), 143-152.
Seiford, L. M., Zhu, J., 1999. Profitability and Marketability of the Top 55 U.S. Commercial Banks. Management Science 45(9), 1270–1288.
Seiford, L. M., Zhu, J., 2002. Modeling Undesirable Factors in Efficiency Evaluation. European Journal of Operational Research 142(1), 16–20.
Serrano-Cinca, C., Gutiérrez-Nieto, B., 2016. The Use of Profit Scoring As an Alternative to Credit Scoring Systems in Peer-To-Peer (P2P) Lending. Decision Support Systems 89, 113–122.
Sharp, J. A., Meng, W., Liu, W., 2007. A Modified Slacks-Based Measure Model for Data Envelopment Analysis with ′Natural′ Negative Outputs and Inputs. The Journal of the Operational Research Society 58(12), 1672–1677.
Stoica, I., Morris, R., Karger, D., Kaashoek, M., & Balakrishnan, H. (2001). Chord: A scalable peer-to-peer lookup service for internet applications ACM.
Swaminathan, M. (2007). The microcredit alternative? Economic and Political Weekly, 42(13), 1171-1175.
Tao, Q., Dong, Y., & Lin, Z. (2017). Who can get money? evidence from the chinese peer-to-peer lending platform. Information Systems Frontiers, 19(3), 425.
Tone, K., 2001. A Slacks-Based Measure of Efficiency in Data Envelopment Analysis. European Journal of Operational Research 130(3), 498–509.
Wang, Z., Jiang, C., Ding, Y., Lv, X., Liu, Y., 2018. A Novel Behavioral Scoring Model for Estimating Probability of Default over Time in Peer-to-Peer Lending. Electronic Commerce Research and Applications 27, 74-82.
WangDaiZhiJia(WDZJ.com), 2017. https://www.wdzj.com/news/yybb/82577.html. (accessed April 2017)
Weber, H. (2002). The imposition of a global development architecture: The example of microcredit. Review of International Studies, 28(3), 537-555.
Xia, Y., Liu, C., Liu, N., 2017. Cost-sensitive Boosted Tree for Loan Evaluation in Peer-to-Peer Lending. Electronic Commerce Research and Applications 24, 30-49.
Xu, Y., Luo, C., Chen, D., Zheng, H., 2015. What Influences the Market Outcome of Online P2P Lending Marketplace: A Cross-Country Analysis. Journal of Global Information Management 23(3), 23–40.
Yagi, M., Fujii, H., Hoang, V., Managi, S., 2015. Environmental Efficiency of Energy, Materials, and Emissions. Journal of Environmental Management 161, 206–218.
Yum, H., Lee, B., Chae, M., 2012. From the Wisdom of Crowds to My Own Judgment in Microfinance through Online Peer-To-Peer Lending Platforms. Electronic Commerce Research and Applications 11(5), 469–483.
Zhang, K., Chen, X., 2017. Herding in a P2P Lending Market: Rational Inference OR Irrational Trust. Electronic Commerce Research and Applications 23, 45-53.
Zhu, J., 1996. Data Envelopment Analysis with Preference Structure. The Journal of the Operational Research Society 47(1), 136–150.
中文部分
五合天成資本, 財富第九波:發現數字貨幣[M].北京:中國物資出版社,2016.
薛義誠, 策略規劃與管理[M].台北:雙葉書廊有限公司,2008. |