Related lending and banking development

Cull, Robert; Haber, Stephen; Imai, Masami

doi:10.1057/jibs.2011.1

Cited by 28 publications

(4 citation statements)

References 69 publications

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“…This classic approach centers on finding a variable, called an instrument, which influences the independent variable (the right-hand-side variable) but appears unlikely to affect the dependent variable (the left-handside variable) except through its effect on the independent variable (Wintoki, Linck, & Netter, 2012). Cull, Haber, and Imai (2011) provide an example in JIBS of using an instrumental variable approach in their analysis on related lending and the development of banking systems.…”

Section: Instrumental Variable Approachmentioning

confidence: 99%

From the Editors: Endogeneity in international business research

2012

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This essay builds on the exposition by Thomas et al. and focuses on analyzing cause and effect in international business research. We attempt to explain how endogeneity problems occur and why they are so prevalent in international business research in a non-technical fashion. We then discuss the importance of explicitly identifying how the chosen research design best approximates a randomized-controlled experiment. Finally, we provide some guidelines on achieving this goal and emphasize the practices that seem most relevant to JIBS reviewers in evaluating high-quality international business research.

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Section: Instrumental Variable Approachmentioning

confidence: 99%

From the Editors: Endogeneity in international business research

2012

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“…Zaman and Goschin [50] highlight some qualitative and quantitative characteristics of the relationship between regional GDP and bank loans in Romania. Moreover, a cross-country data analysis is conducted to explain the impact of banking behavior on sustainable development [51]. Secondly, sustainability in the banking industry has also been interpreted as philanthropic acts.…”

Section: Sustainability and Bankingmentioning

confidence: 99%

Credit Line Models for Supply Chain Enterprises with Channel Background and Soft Information

Wang

Yang

et al. 2019

Sustainability

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Credit lines have been widely adopted by banks to grant credit to small and medium-sized enterprises (SMEs). However, there often exists a gap between the credit lines granted by banks and the actual funding needs of SMEs. In addition, existing credit line models treat each SME as a stand-alone entity instead of considering it within its supply chain system. But an SME’s supply chain relations have a significant impact on its credit-worthiness. To offer banks a holistic assessment, this paper first constructs a base credit line model for SMEs by considering their supply chain background. Next, by accounting for the unique advantage of soft information processing in a supply chain context, we put forward an extended credit line model for supply chain enterprises with soft information. The base and extended credit line models proposed in this paper aim to reduce information asymmetry between banks and SMEs via the core enterprise in the supply chain, thereby helping banks to secure a sustainable source of profit at a lower risk level and SMEs to obtain more credit to support their sustainable growth. A case study is furnished to illustrate how the proposed models can be applied in practice and an empirical analysis further verifies their validity.

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“…controlled by an owner with a larger amount of voting rights than cash-flow rights) might serve as capital suppliers of the related-firms where the controlling ultimate owner has substantial financial benefits (i.e. high level of cash-flow rights) ((La Porta et al 2003), (Cull et al 2011)). For example, such banks might grant loans merely to support (propping up) distressed related-firms with unsecured loans.…”

Section: Introductionmentioning

confidence: 99%