Relevant bibliographies by topics / Credit support

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Credit support'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Credit support"

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Dawar, Kamala. "Official Export Credit Support: Competition and Compliance Issues." Journal of World Trade 54, Issue 3 (2020): 373–95. http://dx.doi.org/10.54648/trad2020017.

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Aggressive competition in the official export credit support market has resulted in an increase in activity that lies outside of the main instruments regulating competition and sustainable development in export finance terms – the OECD Arrangement on Officially Supported Export Credits, (OECD Arrangement on Official Export Credits. TAD/PG(2019)1) and the OECD Common Approaches(OECD Recommendation of the Council on Common Approaches for Officially Supported Export Credits and Environmental and Social Due Diligence (The ‘Common Approaches’). TAD/ECG(2016)3). By default, the World Trade Organizat
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Smith, Natalie. "How Tax Credits Can Support Formerly Incarcerated Individuals and Their Families." ANNALS of the American Academy of Political and Social Science 701, no. 1 (2022): 134–50. http://dx.doi.org/10.1177/00027162221114232.

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Tax credits like the Earned Income Tax Credit (EITC) can provide vital income support to people returning to their communities following incarceration. But the current design of the EITC prevents many from accessing the income support that it provides. In this article, I propose expanding the EITC so that it better serves communities that have been harmed by punitive criminal legal policy. An expanded EITC could raise the incomes of community members returning from incarceration by 8 to 40 percent and raise the incomes of some caregiving families by 20 to 35 percent. I also consider the potent
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Aiyegbeni, Gifty, Yang Li, Joseph Annan, and Funminiyi Adebayo. "Credit Rating Prediction Using Different Machine Learning Techniques." International Journal of Data Science and Advanced Analytics 5, no. 5 (2023): 219–38. http://dx.doi.org/10.69511/ijdsaa.v5i5.193.

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Credit rating prediction is a crucial task in the banking and financial industry. Financial firms want to identify the likelihood of customers repaying loans or credit. With the advent of machine learning algorithms and big data analytics, it is now possible to automate and improve the accuracy of credit rating prediction. In this research, we aim to develop a machine learning-based approach for customer credit rating prediction. Machine learning algorithms, including decision trees, random forests, support vector machines, and logistic regression, were evaluated and compared in terms of accur
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Janda, Karel. "Inefficient Credit Rationing and Public Support of Commercial Credit Provision." Journal of Institutional and Theoretical Economics 167, no. 2 (2011): 371. http://dx.doi.org/10.1628/093245611796590021.

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Grant, Taran, and Arnold G. Kluge. "Credit where credit is due: The Goodman–Bremer support metric." Molecular Phylogenetics and Evolution 49, no. 1 (2008): 405–6. http://dx.doi.org/10.1016/j.ympev.2008.04.023.

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Chуіpesh, Nataliіa, and Yuriі Belinskyi. "INSTITUTIONAL SUPPORT FOR INNOVATIVE DEVELOPMENT OF THE CREDIT MARKET." Problems and prospects of economics and management, no. 4(36) (2023): 352–64. http://dx.doi.org/10.25140/2411-5215-2023-4(36)-352-364.

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Institutional support for innovative development of the credit market is an important object of research, within the framework of which the search for effective methods, means and tools is carried out to improve the efficiency of its functioning. Analyzing the activities of the credit market, it can be noted that low efficiency of its work is largely determined by the imperfection of institutional support for the process of introducing innovative credit services.The purpose of the article is to study institutional support for innovative development of the credit market and determine their infl
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Maag, Elaine, and Nikhita Airi. "Moving Forward with the Earned Income Tax Credit and Child Tax Credit: Analysis of Proposals to Expand Refundable Tax Credits." National Tax Journal 73, no. 4 (2020): 1163–86. http://dx.doi.org/10.17310/ntj.2020.4.11.

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Policymakers grapple with the related issues of unequal incomes, relatively poor health, education, and economic outcomes for low-income children, and hardship among low- and moderate-income families. Refundable tax credits provide substantial support and relief to many. This analysis details who benefits from the earned income tax credit (EITC) and the child tax credit (CTC) and four large-scale tax credit proposals that would provide substantial and ongoing benefits through these or similar credits. Broadly, proposals focused on children exclude childless adults and the elderly, and proposal
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Coppens, D. "How Much Credit for Export Credit Support Under the SCM Agreement?" Journal of International Economic Law 12, no. 1 (2008): 63–113. http://dx.doi.org/10.1093/jiel/jgn041.

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Evans, Brent J. "How College Students Use Advanced Placement Credit." American Educational Research Journal 56, no. 3 (2018): 925–54. http://dx.doi.org/10.3102/0002831218807428.

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Millions of high school students take Advanced Placement (AP) courses, which can provide college credit. Using nationally representative data, I identify a diverse set of higher education outcomes that are related to receipt of AP college credit. Institution fixed effects regression reduces bias associated with varying AP credit policies and student sorting across higher education. Results indicate college credits earned in high school are related to reduced time to degree, double majoring, and more advanced coursework. Bounding exercises suggest the time to degree and double major outcomes ar
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Safitri, Ika Diah Ayu, Wiludjeng Roessali, and Titik Ekowati. "ANALISIS PENDAPATAN USAHA PENGGEMUKAN SAPI POTONG YANG MENDAPAT DUKUNGAN KREDIT TUNDA TEBANG (KTT) DI KABUPATEN SEMARANG." JSEP (Journal of Social and Agricultural Economics) 12, no. 2 (2019): 17. http://dx.doi.org/10.19184/jsep.v12i2.11465.

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This study aims to analyze the utilization of delayed logging credit, analyze the R/C ratio, farmer income and net income for farmers who receive and do not receive credit support for fattening beef cattle. The study was conducted in December 2018 - January 2019 in Polosiri Village, Bawen District and Kawengen Village, East Ungaran District, Semarang Regency. Research method is sencus with 31 respondents who received credit support and 37 respondents did not receive credit support. Data were analysed by credit utilization analyze for liverstock and non livestock businesses, R/C ratio, farmer i
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Dissertations / Theses on the topic "Credit support"

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Mattocks, Benjamin A. "An evaluation of support vector machines in consumer credit analysis." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/85446.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 49-50).<br>This thesis examines a support vector machine approach for determining consumer credit. The support vector machine using a radial basis function (RBF) kernel is compared to a previous implementation of a decision tree machine learning model. The dataset used for evaluation was provided by a large bank and includes relevant consumer-level data, including transactions and credit-b
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Lepolesa, Gerard. "Credit guarantee schemes and the support of small businesses in Lesotho." Thesis, Stellenbosch : Stellenbosch University, 2008. http://hdl.handle.net/10019.1/5544.

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Thesis (MDF (Development Finance))--Stellenbosch University, 2008.<br>ENGLISH ABSTRACT: Small and Medium Enterprises (SMEs) are regarded as core drivers of private sector development in many countries. By their nature, SMEs encounter enormous problems, ranging from usage of appropriate technology, access to raw materials, lack of skills, etc. However, access to finance is frequently cited as the most prominent problem facing the SMEs. Access to finance is defined as the easiness to access credit from financial institutions and the costs associated with accessing credit from such instituti
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Wabineno, Oryema Lilian Mono. "A Real Property Register to Support the Property and Credit Market in Uganda." Doctoral thesis, KTH, Fastighetsvetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-183474.

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An efficient property and credit market can be used by a government of a country to empower its citizens to achieve sustainable development. To improve the property and credit market government needs to ensure that its land records contain information that is beneficial to the actors in both the property and credit market. Studies have shown that land records in Uganda experience problems which have affected the property and credit market. The Government of Uganda has had attempts to solve these problems and one of the recent efforts include computerization of the land records. However the asp
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Al-Shawabkeh, Abdallah. "Developing a knowledge management approach to support managing credit risk in Jordanian banks." Thesis, University of Greenwich, 2010. http://gala.gre.ac.uk/6361/.

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It is becoming increasing clear that; in banks; the sharing of knowledge amongst the senior executives has not been as effective as it should have been. The lack of knowledge amongst senior executives about the level of risks taken in sub-prime lending, the resulting "toxic assets‟ and the global nature of the instruments used to spread risks is said to be the main contributing reason for the current worldwide crisis in banks. Banks in Jordan, the focus of this study, are not immune from the exposure to the risks. The banking sector in Jordan is the most important in the Jordanian national eco
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Ikasari, Novita. "Credit decision support methodology for Micro, Small and Medium Enterprises (MSMEs) : Indonesian cases." Thesis, Curtin University, 2014. http://hdl.handle.net/20.500.11937/2619.

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This research is aimed at constructing an objective and accurate credit risk assessment method for Micro, Small and Medium Enterprises in Indonesia. Credit data of three sample banks is structured using eXtensible Markup Language and Database Structure Model for analysis purposes. Selected data mining techniques are applied to perform credit risk classification based on quantitative and text-based qualitative information. This fills the gap in previous studies where text-based qualitative information was excluded from the models.
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Джинджоян, В. В. "Кредитна підтримка малого та середнього бізнесу в Німеччині". Thesis, Українська академія банківської справи Національного банку України, 2008. http://essuir.sumdu.edu.ua/handle/123456789/61726.

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Maldonado, Alarcón Sebastián Alejandro. "Utilización de Support Vector Machines No Lineal y Selección de Atributos para Credit Scoring." Tesis, Universidad de Chile, 2007. http://www.repositorio.uchile.cl/handle/2250/102885.

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Ortega, Pablo. "The Pathways Program: Understanding the Effectiveness of a Structured and Support Based Standalone Dual Credit Program." Scholarly Commons, 2020. https://scholarlycommons.pacific.edu/uop_etds/3690.

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Since the 1970s’, dual credit programs have helped high school students earn college credit and gain college readiness skills. However, the standalone branch of dual credit programs lacks structured advising, educational planning, and student support. As a result, participants of the standalone dual credit option experience frustration and significant difficulties in their dual credit experience. This study adds to the literature by evaluating the effectiveness of a standalone dual credit program designed with Guided Pathways-style support services. Through quantitative analysis, this study co
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Lukwesa, Herman. "A comparative analysis of government farm input support programmes and private sector credit programmes in promoting agricultural growth in Zambia." Diss., University of Pretoria, 2014. http://hdl.handle.net/2263/45876.

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This study assesses the impact on agricultural productivity of the Farmer Input Support Programme (FISP) as well as the impact of credit provided to small-scale farmers by commercial banks. It compares the two strategies by government (i.e. FISP which is a government subsidy programme and government grants to commercial banks for on-ward lending to small-scale farmers). This is to determine which policy intervention is promoting agricultural growth among the targeted farmers. The study hypothesises that subsidies through FISP and credit from private lending institutions allow farmers to have a
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Headd, Andrew C. "The Effect of Parental Support and Selected Variables on the Effectiveness of a Credit Recovery Program as It Relates to Successful Completion of Graduation Credits." DigitalCommons@Robert W. Woodruff Library, Atlanta University Center, 2017. http://digitalcommons.auctr.edu/cauetds/85.

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The recent interest in graduation rates (a phrase sometimes used interchangeably and incorrectly with attainment rates and completion rates) began with the Commission on the Future of Higher Education, also known as the Spellings Commissions, which called for “dramatic” changes in higher education to address the “persistent gap between the college attendance and graduation rates of low-income Americans and their more affluent peers” (Cook & Hartle, 2011, p. 1). As educators, we should strive to make sure that the students we serve receive a quality education, one that will prepare them to be c
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Books on the topic "Credit support"

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Crow, Iain. Support for community-based credit unions. University of Sheffield, Faculty of Law, 1993.

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University of Sheffield. Faculty of Law. and Joseph Rowntree Foundation, eds. Support for the development of community-based credit unions. Joseph Rowntree Foundation, 1993.

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Library of Congress. Congressional Research Service, ed. Fundamentals of domestic commodity price support programs. Congressional Research Service, Library of Congress, 1986.

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Britain, Great. Income support,the social fund and family credit: The legislation. Sweet & Maxwell, 1990.

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Britain, Great. Income support, the social fund and family credit: The legislation. 5th ed. Sweet & Maxwell, 1988.

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John, Mesher, ed. Income support, the social fund and family credit: The legislation. Sweet& Maxwell, 1991.

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Britain, Great. Income support, the social fund and family credit: The legislation. 5th ed. Sweet & Maxwell, 1989.

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Campbell, Sheila. Federal support for research and development. Congress of the United States, Congressional Budget Office, 2007.

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Erastus-Sacharia, Anna. Small enterprise support institutions in Namibia. Namibian Economic Policy Research Unit, 1999.

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Campbell, Sheila. Federal support for research and development. Congress of the U.S., Congressional Budget Office, 2007.

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Book chapters on the topic "Credit support"

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Pobbe, Anna Veronica. "Support the devil." In Giving Credit to Dictatorship. Routledge, 2024. https://doi.org/10.4324/9781032656199-8.

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Karp, L., and S. Stefanou. "Credit Subsidies to Support Agriculture." In Privatization of Agriculture in New Market Economies: Lessons from Bulgaria. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1388-5_18.

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de Almeida Filho, Adiel Teixeira, Julio Cezar Soares Silva, Diogo Ferreira de Lima Silva, and Luciano Ferreira. "Preference Learning Applied to Credit Rating: Applications and Perspectives." In Intelligent Decision Support Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96318-7_7.

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Li, Jianping, Jingli Liu, Weixuan Xu, and Yong Shi. "Support Vector Machines Approach to Credit Assessment." In Computational Science - ICCS 2004. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-25944-2_115.

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Ireson, Neil S., and Terence C. Fogarty. "Evolving Decision Support Models for Credit Control." In Evolutionary Algorithms in Management Applications. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-61217-6_15.

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Perez-Encinas, Adriana, Pablo Villarrubia, and Sandra Tobon. "Exploring Services and Support for Credit-Mobile International Students." In European Higher Education Area 2030: Bridging Realities for Tomorrow’s Higher Education. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-75140-0_5.

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Abstract An increasing number of students are participating in international credit mobility and other short-term programs, and as a result, there is a growing demand for services to enhance their mobility experience. Yet with some exceptions (e.g., Almeida (2020)), there is a lack of literature exploring the services and support infrastructure demanded by credit-mobile students. Consequently, this research fills a critical gap by presenting the results of the first institutional survey as part of a European project, “Erasmus Careers”, examining inbound and outbound mobility services and suppo
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Chandavarkar, Anand G. "5. Informal Credit Markets in Support of Microbusiness." In Microenterprises in Developing Countries. Practical Action Publishing, 1987. http://dx.doi.org/10.3362/9781780440163.005.

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Danenas, Paulius, and Gintautas Garsva. "Intelligent Credit Risk Decision Support: Architecture and Implementations." In Artificial Intelligence in Financial Markets. Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-137-48880-0_7.

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Kumar, Sheo, Vinit Kumar Gunjan, Mohd Dilshad Ansari, and Rashmi Pathak. "Credit Card Fraud Detection Using Support Vector Machine." In Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6407-6_3.

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Zhang, Leilei, and Xiaofeng Hui. "Application of Support Vector Machines Method in Credit Scoring." In Advances in Soft Computing. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01216-7_30.

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Conference papers on the topic "Credit support"

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L, Taranath N., and Geetha A. "Credit Risk Evaluation using Decision Support System." In 2024 Second International Conference on Advances in Information Technology (ICAIT). IEEE, 2024. http://dx.doi.org/10.1109/icait61638.2024.10690699.

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Gottipati, Kalyan C. "Sine Cosine based Zebra Optimization Algorithm with Support Vector Machine for Credit Card Fraud Detection." In 2024 First International Conference on Software, Systems and Information Technology (SSITCON). IEEE, 2024. https://doi.org/10.1109/ssitcon62437.2024.10797041.

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Geetha, B., L. Sindhu, Ammar Hameed Shnain, M. Mahima, and Jajimoggala Sravanthi. "A Combined Support Vector Data DescriptionFuzzy Logic Approach for Anomaly Detection in Credit Card Transactions." In 2024 First International Conference on Software, Systems and Information Technology (SSITCON). IEEE, 2024. https://doi.org/10.1109/ssitcon62437.2024.10796127.

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Miguel, Rainer, Charles Danielle D. Paglingayen, Rainne Alessandra M. Pimentel, Jayson R. Torres, and Jay-Ar P. Lalata. "Loan Application and Management System with Credit Scoring Decision Support System for Cazanova Transport Cooperative." In 2025 16th International Conference on E-Education, E-Business, E-Management and E-Learning (IC4e). IEEE, 2025. https://doi.org/10.1109/ic4e65071.2025.11075329.

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Radhya, Sebastianus, Yeremia Marcellius Toemali, Francesco Jovan, and Abram Setyo Prabowo. "Improving Credit Score Classification Using Long Short-Term Memory and Support Vector Machines Tuned with Whale Optimization Algorithm." In 2024 2nd International Conference on Technology Innovation and Its Applications (ICTIIA). IEEE, 2024. https://doi.org/10.1109/ictiia61827.2024.10761853.

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Conrad, Kevin, and Jonathan Oliver. "Method to Allocate Vehicle Health Management Analytics to Subsystems for Maintenance Credit." In Vertical Flight Society 70th Annual Forum & Technology Display. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9546.

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Airworthiness Approval of a Health and Usage Monitoring System as described in Miscellaneous Guidance 15 of the FAA's Advisory Circular 27-1B requires emphasis be placed on the certification requirements and their relationship to the design solution as it matures during the systems development process. A candidate Integrated Vehicle Health Management (IVHM) System-of-Systems (SoS) architecture is proposed in which the vertical lift segment and automated information systems are integrated with the sustainment processes. Next generation ground and support processes are introduced and methods use
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Roeder, Jan. "Alternative Data for Credit Risk Management: An Analysis of the Current State of Research." In Digital Support from Crisis to Progressive Change. University of Maribor Press, 2021. http://dx.doi.org/10.18690/978-961-286-485-9.13.

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Determining credit risk is important for banks and nonbanks alike. For credit risk management, the heterogeneous data generated today can potentially complement the established data such as balance sheet ratios. It has not yet been clearly shown which alternative data sources, such as social media or satellite data, provide added value and how this value can be extracted effectively. This review provides an overview of the intersection between these areas and develops a research agenda. The analysis of the 29 identified papers shows that the use of financial news is analyzed most frequently. S
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Dzhailov, Dzhumabek, Farkhad Sariev, and Elmira Kupsuralieva. "Improvement of Financial and Credit Regulation Mechanisms in Agroindustrial Complex Development." In International Conference on Eurasian Economies. Eurasian Economists Association, 2011. http://dx.doi.org/10.36880/c02.00379.

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Agroindustrial complex is a strategically important sector of the national economy. However, its unsustainable development within recent years strongly reduced its share in GDP of the country and aggravated the problems of food security. The factors of the sector situation aggravation are low investment attractiveness, poor development of financial and credit sphere. It is necessary to increase considerably not only volumes of assigned financial and credit resources but also to change significantly their assignment (financial support of priority sectors of agro industrial complex, subsidy assi
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Bozsik, Jozsef, and Gergely Kormendi. "Decision tree-based credit decision support system." In 2011 3rd IEEE International Symposium on Logistics and Industrial Informatics (LINDI 2011). IEEE, 2011. http://dx.doi.org/10.1109/lindi.2011.6031145.

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Pang, Sulin. "Credit Evaluation based on Support Vector Machine." In 2006 International Conference on Computational Intelligence and Security. IEEE, 2006. http://dx.doi.org/10.1109/iccias.2006.294270.

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Reports on the topic "Credit support"

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Gómez, Camilo, and Daniela Rodríguez-Novoa. Firm Support Measures, Credit Payment Behavior, and Credit Risk. Banco de la República, 2024. http://dx.doi.org/10.32468/be.1277.

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This paper examines the relationship between three government support measures (debt moratorium, credit guarantee programs, and payroll subsidies) and the firm's payment behavior on loans in Colombia. To do so, we use the COVID-19 pandemic episode as a case study. Using highly granular data at the bank-firm level and a difference-in-difference approach, we find that firms subject to debt reliefs and government guarantee programs experienced a lower probability of default while these policies were in force. Subsequently, once the programs ended, the dynamic of the payment behavior of these firm
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Micco, Alejandro, and Arturo Galindo. Creditor Protection and Credit Volatility. Inter-American Development Bank, 2005. http://dx.doi.org/10.18235/0010961.

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This paper studies the relationship between creditor protection and credit volatility. During the negative phase of the business cycle, credit contracts more in countries with poor creditor protection. For similar shocks to business conditions, credit is more volatile in countries where creditors are weakly protected. We test this idea using a dataset on legal determinants of finance in a panel of data of aggregate credit growth for a sample of 139 countries during the period 1990-2003. We find support for the view that better legal protections significantly reduce the impact of exogenous shoc
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Guengerich, Terri. Support the Wisconsin Credit for Caring Act: Infographic. AARP Research, 2019. http://dx.doi.org/10.26419/res.00259.094.

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Malde, Bansi, Bet Caeyers, and Britta Augsburg. Can Micro-Credit Support Public Health Subsidy Programs? The IFS, 2019. http://dx.doi.org/10.1920/wp.ifs.2019.1019.

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Guengerich, Terri. Oklahoma Voters Support a Family Caregiver Tax Credit. AARP Research, 2022. http://dx.doi.org/10.26419/res.00517.001.

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Raimondi, Alessandra. Oklahoma Caregivers Support a Family Caregiver Tax Credit. AARP Research, 2023. http://dx.doi.org/10.26419/res.00597.001.

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Guengerich, Terri. Support Family Caregivers: Support a Family Caregiver State Income Tax Credit: Infographic. AARP Research, 2019. http://dx.doi.org/10.26419/res.00259.090.

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Guengerich, Terri. Support Family Caregivers: Arizona SB 1172 Tax Credit: Infographic. AARP Research, 2019. http://dx.doi.org/10.26419/res.00259.069.

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Geng, Zhe, and Jun Pan. The SOE Premium and Government Support in China's Credit Market. National Bureau of Economic Research, 2019. http://dx.doi.org/10.3386/w26575.

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Guengerich, Terri. Family Caregiving in Wisconsin: Overwhelming Support for a Caregiver Tax Credit. AARP Research, 2019. http://dx.doi.org/10.26419/res.00259.092.

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