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Substantial research has been conducted on the direct effects of banking competition or lack thereof. However, little work has investigated how the market structure of banks can affect the transmission of monetary policy. The purpose of this paper is to investigate to what degree bank concentration dampens or enhances the response of manufacturing to monetary policy changes.

To test how back concentration affects the transmission of monetary policy onto manufacturing value-added, the author regresses real value-added in manufacturing on bank concentration, monetary policy and the interaction of these two variables. The data set consists of a panel of 22 OECD countries across 59 manufacturing sectors from 1993 to 2005.

The author finds that bank concentration has two distinct effects: growth in manufacturing is lower in countries with higher concentration and manufacturing is less responsive to monetary policy as well. A loosening of monetary policy by lowering interest rates has a significantly larger effect on growth in countries with lower banking concentration. Overall, a 1 per cent decrease in the monetary policy interest rate increases industrial growth by 0.049 per cent when the three-bank concentration ratio is equal to the sample average, but the same monetary policy change has roughly twice the effect if bank concentration is only 5 per cent lower, all else equal.

The author is the first to measure how bank concentration alters the effectiveness of monetary policy using real economic activity as the output variable. The study is one of very few that has tied together inefficiencies created by bank concentration and the transmission of monetary policy.

The paper aims to disentangle the physiological credit risk from the credit risk coming from the inefficient screening and monitoring management process. The analysis is conducted on a sample of 338 Italian banks–56 joint-stock banks (SpA), 23 cooperative banks (Popolari) and 259 mutual banks (BCCs)–over the time period 2006–2017.

The authors use the maximum likelihood method to estimate the efficient frontier, as a set of best management credit practices, which minimises the credit risk defined on the basis of the level of loans granted, the technical structure of the loan portfolio (such as credit lines, mortgages, consumer loans and other technical loan categories) and the interest rate charges.

The empirical results show that the increase in non-performing loans (NPLs) is related both to the severe and protracted recession in Italy, which significantly reduced borrowers' capacity to service their debt, and to other factors, such as banks' lending monitoring policies with limited capacity to work-out defaulted loans.

The authors propose a new approach to the study of the performance of the credit process. With the stochastic frontier, the physiological credit risk, assumed by the bank according to its lending activity and management choices, is separated from the credit risk resulting from an inefficient management of the screening and monitoring process. In addition, the authors analyse the determinants of the excess of NPLs. This aspect is considered particularly original because the scientific contributions which consider the causes of NPLs have largely focused on the level of NPLs not considering the physiological part, linked to the structure of the bank's loan portfolio and its operational strategy and therefore not compressible and in any case not attributable to mismanagement or moral hazard.

This paper aims to estimate the cost to US savings banks and savings and loan institutions with assets under $250 million of complying with the anti‐redlining Community Reinvestment Act (CRA).

Compliance cost is modeled as a type of inefficiency because the lending institution is required to favor higher cost borrowers whom it might otherwise choose to avoid. Inefficiency is estimated using a special form of regression with a two‐part error term that contains an inefficiency parameter.

The 1995 statutory changes designed to lessen the cost of CRA compliance are apparently more than offset by the increased enforcement efforts of the Clinton Administration, which was hostile to deregulation enacted by Congress. For the vast majority of small thrifts, annual compliance costs grew by $251,000 following “deregulation,” and for a small number of “Outstanding” (in meeting the goals of the Act) institutions, CRA‐related costs grew by $539,000. These increases represent a rise of about 3.5 and 6 percent of operating expenses, respectively.

Given the wide latitude afforded financial regulators in the USA legislative changes regarded as “deregulation” also require a sympathetic and supportive administration to be realized.

The paper offers insights into how increased enforcement can offset statutory deregulation, focusing on the case of the Community Reinvestment Act.

This paper aims to offer a theory on optimal group size. To overcome the problems of institutional credit facilities to the poor and marginal people, Joint Liability Group Lending (JLGL) is often considered as a better option. However, the literature in the field is surprisingly silent about the issue of group-size. This paper tries to fill the vacuum in a theoretical framework.

Using a standard theoretical model, this paper shows that even with costless peer monitoring, there exists an upper bound on the size of group, and this upper bound is exactly pinned down by the strength of the social sanction.

This paper shows that under reasonable specification of effort cost, as group size increases, both optimal cooperative effort level and the deviation incentive from that effort level rise monotonically for any individual borrower. Thus, given the strength of social sanction, the rising incentive for deviation uniquely determines the optimal group size even in absence of free riding in peer monitoring.

The theoretical results derived in the paper require empirical verification which is, however, tricky because of the problems associated with quantifying social sanctions.

This paper argues that the group size should be larger in more integrated communities which have better social cohesion among its members.

This paper shows that, for a given extent of joint liability the borrowers need to bear, the group size in joint liability group lending should be designed according to the strength of social sanction prevailing in the society to achieve social efficiency.

Using state-level data, the purpose of this paper is to examine state banking-industry specific as well as region economic determinants of real estate lending of commercial banks across all 51 states spanning the period 1966-2014.

Using both fixed-effects and dynamic-generalized method of moments (GMM) estimation techniques the study compares the sensitivity of different categories of real estate loans to regional banking and economic conditions. Finally, it provides a comparative perspective by comparing the results for real estate loans with other categories of loans given out by banks.

Greater capitalization, liquidity and overhead costs reduce real estate lending, while banks diversification and the size of the banking industry in each state increase such lending. Moreover, real estate loans are found to be procyclical to state economic cycles with a rise in state real gross domestic product (GDP) growth, increase in state housing price index (HPI) and decline in both inflation and unemployment rates, increasing real estate loans. Within disaggregated loan types, construction and land development and single-family residential loans are most responsive to state banking and economic conditions.

The recent financial turmoil is to a large extent attributable to excessive risk-taking by banks, particularly in terms of real estate lending. Hence, it is of paramount importance to empirically address the various determinants of real estate lending. With most banks restricting their operations in either one or a few states only, real estate lending in any given state may be more sensitive to regional banking and economic conditions than national aggregates. The present study is the first of its type to perform such an analysis.

We show why investors may prefer not to be a firm’s unique lender, even if they are in a strong bargaining position. Some firms need additional funds after a first investment: providing additional funds is rational after the first investment is sunk, but together the two investments are unprofitable. A unique lender will always provide additional funds and make losses. Two creditors can commit not always to provide funds: inefficient negotiations over debt forgiveness may end with a project’s liquidation, which is harmful ex post, but helpful ex ante, if it keeps entrepreneurs with nonpromising projects from initially requesting funds.

This paper aims to analyse trends and determinants of NPAs in India's banks. It has empirically examined the bank-specific determinants of NPAs.

An FE panel estimation of a sample of 44 banks was carried out for the post-crisis time period, from 2010 to 2020 to identify the bank-specific determinants of NPAs. The sample of 44 banks includes 20 PSBs, 19 private banks and 5 foreign banks. Separate FE estimation was also carried out to identify the drivers of NPAs in PSBs.

The determinant of NPAs during the post-crisis period suggests that faulty earning management and deterioration in loan quality have resulted in high NPAs in India's banks. The result is similar for PSBs as well.

The findings of the study suggest that the banks, especially the Public Sector Banks (PSBs) need to revisit their earning management strategies to maximise income and improve their loan quality in order to reduce the incidence of loan failure.

The paper contributes by empirically analysing the determinants of NPAs during the recent decade, between 2010 and 2020. Separate estimations have been carried out to understand whether the drivers of NPAs differ in the case of PSBs.

Banks play a vital role in the economy. Investigating their competitive environment is crucial to ensuring economic stability and development. The FinTech disruption has risks and opportunities for incumbent banks, and it can be valuable to investigate its effects on banking performance. Therefore, the aim of this study is to assess whether investment in FinTech is associated with better performance of Indian banks during 2012–2018.

To do this, a sample of Indian banks was investigated between 2012 and 2018 using k-means and hierarchical cluster analysis, ANOVA, and pairwise comparison tests.

Results of the analysis strongly suggest that investment in FinTech is associated with better banking performance. Higher FinTech investments, represented by mobile transaction volume, are associated with higher efficiency scores and accounting-based performance. In particular, banks that invest in FinTech and have relatively low non-performing loans have a 7.7% higher Return on Employment (ROE) than banks with exceptionally low FinTech use and no significant investment in smart branches.

Therefore, it can be recommended that Indian banks adopt a forward-looking strategic approach when making investment decisions regarding new technologies. Failing to adapt to the FinTech disruption may result in poor value creation prospects in the long run.

To the best of the authors' knowledge, this is the first study that analyses. We are not aware of any similar study on whether investment in FinTech is associated with better performance of the Indian banks during 2012–2018.

The following collection of papers begins with a statement of ideas and principles by Maurice Line and Sidney Smith, who between them have first‐hand knowledge of the library systems of several developing countries and have carried out intensive studies of document supply in a few. The statement represents their own views, which inevitably reflect their own background and experience in a highly centralised document service (the British Library Lending Division) in a country (the United Kingdom) that has reached a high level of library development. As a result, the authors may well have taken for granted some things that constitute real barriers in other countries — and possibly also over‐estimated some other aspects.

By using Latour’s notion of “action at a distance” (Latour, 1987), the purpose of this paper is to examine the ways in which the government acts at a distance to achieve corporate governance of public sector banks, and the extent to which accounting enables such actions of the government.

This study follows the qualitative research approach and adopts the case study research method. A major public sector bank in Sri Lanka was selected as the case organization for this study. Data were gathered from semi-structured interviews with organizational participants and document study.

The study provides evidence to suggest that inscriptions produced through four areas of accounting, namely external reporting, external auditing, management accounting and internal auditing, have the capacity to develop strong explanations enabling action at a distance and good corporate governance in the case organization. The study also provides evidence to show how the role of accounting in long-distance control and corporate governance in the case organization is influenced by various contextual factors. In particular, the study finds that undue government interference over the case organization to gain the long-distance control have resulted in deteriorating the level of corporate governance.

The findings support the literature that examines the accounting in its social context.

The findings suggest that actors should be allowed to operate independently, particularly without political expedience and undue influences from pressure groups, which ensure effective utilization of accounting inscriptions by the actors in long-distance control as well as good corporate governance of public sector banks.

Although research into accounting in public sector organizations has gained considerable importance in recent times, those studies examining public sector banks are still lacking. The paper aims to fill this gap.