A Note on Building a Database on Russian Banks: Fieldwork Against the Odds

This note describes how I constructed a reliable database on Russian banks in early transition. I describe in detail data sourcing, data verification and the representativeness of the resulting database. The note makes available for research a database that captures the genesis of a commercial banking system and is therefore very interesting. Moreover, the note suggests that the availability of data in Russia might in practice be better than generally perceived. Often the data do exist, but it takes a lot of time and effort to find them and turn them into a user-friendly format. Mastering the Russian language and a fair portion of perseverance are a great help in this respect.     

Collateral,relationship lending and family firms

Prior research suggested that relationship lending could play a role in solving asymmetric information problems between borrower and lender. Other studies suggest a relationship between family ownership and the shareholder–bondholder agency conflict. The present paper investigates the impact of relationship characteristics, family ownership and their interaction effects upon the use of collateral in SME lending. We examine the determinants of collateral as well as the determinants of the choice between business and personal collateral using decision tree analysis. The results reveal that relationship characteristics have a significant influence, but not always in the direction as expected. Moreover, they do not seem to be the primary determinants in our classification models. The most important determinants in both classification models seem to be the loan amount, total assets and the family versus non-family firm distinction. In addition, we differentiate between line-of-credit and non-line-of-credit loans and find significant differences between these decision trees.     

Revenue Effects of Tax Facilities for Pension Savings

Many countries have tax facilities for pension savings. These facilities are often associated with the application of the cash-flow treatment of pensions: pension contributions are tax-exempt, capital income of pension funds is tax-exempt, and pension benefits are taxed, but usually at a relatively low rate. This paper investigates the revenue effects of a cash-flow tax regime for pension savings by full present-value calculations. A comprehensive income tax system is used as a benchmark. We present an empirical analysis for the Netherlands as a typical example of a country with funded pensions. Our calculations show that current taxation of pensions implies a major tax revenue loss. For the year 2003, we estimate a fiscal pension subsidy of 1.4% to 1.5% of Gross Domestic Product (GDP).

Entrepreneurship in the Street Food Sector of Vietnam—Assessment of Psychological Success and Failure Factors

We tested the hypothesis that process characteristics of action strategies were related to entrepreneurial success in microbusinesses in the urban informal sector of Vietnam. The process characteristics were divided into four strategies: critical point planning, complete planning, opportunistic, and reactive. Success was defined as a combination of economic and subjective measures. A survey was done in Hue and Hanoi (Vietnam) among 102 street food vendors. With 62 vendors of this sample, we held in-depth interviews, which were used to test our hypotheses. The results showed that seventy percent of the business owners did not plan much. Opportunistic and planning strategies were most highly related to success, and a reactive strategy was related to failure. The latter replicates other studies in other developing countries.     

Data accuracy's impact on segmentation performance: Benchmarking RFM analysis,logistic regression,and decision trees

Companies greatly benefit from knowing how problems with data quality influence the performance of segmentation techniques and which techniques are more robust to these problems than others. This study investigates the influence of problems with data accuracy – an important dimension of data quality – on three prominent segmentation techniques for direct marketing: RFM (recency, frequency, and monetary value) analysis, logistic regression, and decision trees. For two real-life direct marketing data sets analyzed, the results demonstrate that (1) under optimal data accuracy, decision trees are preferred over RFM analysis and logistic regression; (2) the introduction of data accuracy problems deteriorates the performance of all three segmentation techniques; and (3) as data becomes less accurate, decision trees retain superior to logistic regression and RFM analysis. Overall, this study recommends the use of decision trees in the context of customer segmentation for direct marketing, even under the suspicion of data accuracy problems.     

Corporate Governance, Opaque Bank Activities, and Risk/Return Efficiency: Pre- and Post-Crisis Evidence from Turkey

Does better corporate governance unambiguously improve the risk/return efficiency of banks? Or does either a re-orientation of banks’ revenue mix towards more opaque products, an economic downturn, or tighter supervision create off-setting or reinforcing effects? The authors relate bank efficiency to shortfalls from a stochastic risk/return frontier. They analyze how internal governance mechanisms (CEO duality, board experience, political connections, and education profile) and external governance mechanisms (discipline exerted by shareholders, depositors, or skilled employees) determine efficiency in a sample of Turkish banks. The 2000 financial crisis was a wake-up call for bank efficiency and corporate governance. As a result, better corporate governance mechanisms have been able to improve risk/return efficiency when the economic, regulatory, and supervisory environments are more stable and bank products are more complex.     

On the proportionality of EU spatial ex ante coexistence regulations

The EU is currently struggling to implement coherent coexistence regulations on genetically modified (GM) and non-GM crops in all member states. While it stresses that any approach needs to be “proportionate to the aim of achieving coexistence”, very few studies have actually attempted to assess whether the proposed spatial ex ante coexistence regulations (SEACERs) satisfy this proportionality condition. In this article, we propose a spatial framework based on an existing landscape and introduce the concept of shadow factor as a measure for the opportunity costs induced by SEACERs. Our empirical findings led us to advance the proposition that flexible SEACERs based on pollen barriers are more likely to respect the proportionality condition than rigid SEACERs based on isolation distances. Particularly in early adoption stages, imposing rigid SEACERs may substantially slow down GM crop adoption. Our findings argue for incorporating a certain degree of flexibility into SEACERs by advising pollen barrier agreements between farmers rather than imposing rigid isolation distances on GM farmers. The empirical questions of proportionality and flexibility have been largely ignored in the literature on coexistence and provide timely information for EU policy makers.