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Purpose The rapid growth of credit card use in China poses the potential for card overuse and the accumulation of increased debt. The purpose of this paper is to report on an investigation into the determinants of overall credit card spending and card-financed debt by Chinese consumers. Design/methodology/approach This study focusses on two dependent variables: credit card monthly spending and card debt. The spending measure is based on consumer outlay for the month preceding the survey. Card debt is the consumers’ outstanding credit card debt when the survey was conducted. Three groups of independent measures are used: socio-demographic characteristics, card features and consumer attitude towards money. Both card spending and card debt are estimated with OLS methods. Data was obtained from the 2013 China Household Finance Survey of 1,920 households in 29 provinces and 262 counties across China that used credit cards over the survey period. Findings The empirical findings suggest consumers’ attitude towards money is more important in explaining card spending and debt variation than socio-demographic characteristics and card features. The credit limit set for a card, obligations to other loans and the method of paying for ordinary shopping exhibit positive effects on both card spending and card debt, while age exhibits a negative effect. Further, card spending is positively correlated with card debts, but the factors that determine card spending do not necessarily affect card debt and vice versa. Minimum card debt payments, cash advances, card tenure and interest-bearing debt have no effect on card spending but have positive effects on card debt. In addition, gender and income have opposite effects on card spending and debt. Practical implications The relationships we have documented suggest several actions the Chinese Government could consider dealing with credit card debt risk. Controlling the aggressive promotional campaigns that card issuers use to attract consumers and aggressive credit policies should be a focus of attention. The Chinese Government might, for example, impose minimum age and income requirements for granting credit cards and prohibit issuance of new cards to applicants who are already in debt with other types of credit. In addition, more stringent criteria to curb increases in card limits and tighter control over cash advances made on cards should be applied. Minimum payment amounts can also be increased in order to reduce credit card debt risk. Originality/value Despite ample documentation of consumers’ credit card behaviour, the literature is deficient in at least two areas of enquiry. First, most previous research has investigated either credit card spending behaviour or card debt, but not both. Second, with few exceptions, most research has investigated a range of specific factors that affect credit card use. In contrast, this study investigates card spending as well as card debt behaviour using a wide variety of consumer dimensions particularly relevant to credit card use and resulting debt. In addition, this study focusses on Chinese consumers, who traditionally prefer to save first and delay spending. The impact of the rapid growth of credit card use on this traditional Chinese orientation towards spending is dynamic. Documenting the influence of the individual factors examined in this study is likely to be of value to both policy makers and institutions that offer and manage credit in this changing environment.

Promoting entrepreneurship in Morocco among young people has been a challenge for some years of economic and social problems, especially after the events of the Arab Spring. Several programs have been set up by the government for young entrepreneurs. Thus, faced with the large number of credit applications solicited by these young entrepreneurs, banks are obliged to resort to artificial intelligence techniques. For this purpose, the aim of this article is to propose a decision-making system enabling the bank to automate its credit granting process. It is a tool that allows the bank, in the first instance, to select promising projects through a scoring approach adapted to this segment of young entrepreneurs. In a second step, the tool allows the setting of the maximum credit amount to be allocated to the selected project. Finally, based on the knowledge of the bank's experts, the tool proposes a breakdown of the amount granted by the bank into several products adapted to the needs of the entrepreneur.

This paper reviews the experience of 1990, the first year of Poland's program of stabilization and reform. The background is described, including previous reform efforts and the crisis of the late 1980s. Then the various elements of the program are discussed, including fiscal adjustment, wage controls, the possibility of an initial liquidity overhang, the exchange rate anchor, and structural reforms. The initial results of the program are assessed, and alternative explanation of the decline in output are considered.

The key criteria for making business decisions is profit, so when making credit limit-setting strategy decisions, profitability will be the most important driver. The profitability of a credit limit-setting strategy is dependent on the customer's utilisation of the limits set by the strategy. This points towards a need to determine the extent to which a limit can be increased before a customer's utilisation will decline beyond the point of being profitable. This paper sets out to define a Customer Comfort Limit Utilisation (CCLU) measure that can be used to gauge a customer's level of comfort (in terms of limit utilisation) with a newly proposed limit. The CCLU is defined as a function of the customer's limit utilisation and credit limit; in simpler terms, it can be viewed as a function of balance growth vs limit growth. The neural network model that predicted utilisation first and then the CCLU based on the resulting utilisation values was selected as the final model. Once the final model was determined, it was then verified whether profitability could be improved by using a CCLU measure as a management tool when making limit-setting strategy decisions. It was found that strategies involving CCLU values could lead to increased profitability since CCLU values near 100 (i.e. the customer is 100% comfortable with the new limit and will utilise to the same extent as the previous one) are associated with higher key performance metrics levels.

As part of its strategy to support global trade, the World Bank Group seeks to enhance trade finance in emerging markets. In 2005 the International Finance Corporation (IFC), part of the Bank Group, introduced the Global Trade Finance Program (GTFP) to support the extension of trade finance to underserved clients globally. This IEG evaluation found that overall, the GTFP was a relevant response to the demand to reduce risk in trade finance in emerging markets. The program significantly improved IFC's engagement in trade finance by introducing an open network of banks and a quick, flexible response platform to support the supply of trade finance. IEG's evaluation covers the program's operations from its inception in 2005 through FY2012. The program grew from a $500 million annual commitment to $5 billion in FY12. It accounted for 39 percent of total IFC commitments and has low costs. It accounted for 2.4 percent of IFC's capital use and 1.2 percent of its staff costs and has had no claims to date. It is profitable as well, although not to the extent originally expected, accounting for 0.6 percent of IFC's net profit. IEG found that the GTFP has particular additionality among higher-risk countries. In its early years, it was concentrated in these countries, particularly in Africa. During the global crisis, the program risk-mitigation instrument became relevant in much broader markets. Client feedback on the program has been positive. In its evaluation IEG does offer several recommendations to enhance its effectiveness, including on issues of transparency and reporting methods, as well as expanding the share of the program in needier markets. For development professionals, the lessons in this evaluation can be applied to private sector development situations, particularly mitigation of financing risks in emerging markets.

This report brings together the results of an eight-part series of presentations by leading experts in issues directly related to microfinance institutional sustainability. It is intended for microfinance institution (MFI) board members, managers, and staff members as well as for government regulators, supervisors, and donor staff members. The first four chapters include topics in risk management: (1) risk management systems, (2) good governance, (3) interest rates, and (4) micro-insurance. The last four chapters include four topics in new product development and efficient delivery methodologies: (5) housing microfinance, (6) micro-leasing, (7) disaster preparedness products and systems, and (8) new technologies. The objectives of the series were as follows: i) to strengthen MFIs by disseminating innovative approaches in risk management, cost control, governance, and new technologies; ii) to promote a South-South exchange of experiences and lessons learned; iii) to promote greater ties among the MFIs in the region and between MFIs and government supervisors and regulators; and iv) to highlight the Bank's ability to mobilize international technical expertise in microfinance.

Credit cards have become one of the major ways for conducting cashless transactions. However, they have a long term impact on the well being of their owner through the debt generated by credit card usage. Credit card issuers approve high credit limits to credit card owners, thereby influencing their credit burden. In this paper, a system dynamics model has been used to model the behavior of a credit card owner in different scenarios according to the size of a credit limit. The experiments with the model demonstrated that a higher credit limit approved on the credit card decreases the budget available for spending in the long run. This is a contribution toward the evaluation of action for credit limit control based on their consequences.

The Anti-Bubbles is a forward-looking analysis of the opportunities, risks, and unintended consequences of testing the limits of monetary policy, testing the limits of credit markets, and testing the limits of fiat currencies. The Anti-Bubbles is a contrarian framework that challenges the status quo and complacency of Global Markets toward the Central Bank Put, the false belief and misconceptions that Central Banks and Governments are infallible and in full control. The Anti-Bubbles presents the \"Lehman Squared\" and \"Golds Perfect Storm\" investment theses, elaborating on the front page article published in the Financial Times written edition on the 8th August, 2016 called \"Gold's Perfect Storm.\"

This chapter contains sections titled: Introduction A Trade Credit Risk ScoreCard A Trade Credit Limit Model and Internal Rating Scheme

Harry Grubert made important contributions to our thinking about international tax policies. He identified the numerous margins on which corporate tax systems could distort behavior in a global economy and estimated the relative costs of these distortions. His views evolved over time from support of worldwide taxation of U.S. multinationals to favoring a territorial system with a minimum tax on super-normal returns and a shift in taxation from the corporate to the shareholder level. His research greatly influenced corporate reforms in the Tax Cuts and Jobs Act of 2017 (TCJA), although he no doubt would have differed with many of the Act’s details.