组建社区银行应对基层信贷服务缺失的思考

本文介绍了社区银行的概念、经营特点及其在社区金融服务领域的比较优势,提出应该组建社区银行来应对目前存在的基层信贷服务缺失,并探讨了社区银行的组建方式以及在组建和发展过程中应该注意的问题。     

Transfer of management knowhow to developing countries: An empirical investigation

This article examines the transfer of management knowhow to developing countries through managers who undertake a graduate program in business at an advanced country. Based upon a study of 67 Turkish managers, all of whom received a master's degree in business in the United States, the article addresses three issues: What are the differences in the local applicability of various management skills (including marketing) which were acquired in an advanced country? What company and individual manager characteristics are associated with the local application of these management skills? What principal factors impede the transfer of management knowhow to an indigeneous organization?     

The evolution of food retailing systems: Contrasting the experience of developed and developing countries

Most writings on the evolution patterns of food retailing institutions have dealt with developed country experiences. This article reviews the evolution of food retailing systems in the developing economies and relates it to the experience of developed economies. Variations in food retailing systems among countries are related, in a systematic manner, to the differences in the environmental factors. The difficulties of introducing an innovative institution, the supermarket, in developing economies are also discussed.     

Inflation targeting in an import dependent indebted economy

This paper develops a one-sector Kaleckian model of an import dependent indebted small open economy; where the mark-up rate is sensitive to both changes in the interest rate and the exchange rate and foreigners provide part of the long-term finance. The short-run consequences of an inflation targeting policy in the form of high interest rates and strong domestic currency are explored. Among the possible short-run scenarios, the one most relevant for developing countries involves a decline in the profit rate, the capacity utilization rate and the rate of accumulation as well as the employment rate and the real wage. Leverage ratio of the firms and the extent of external indebtedness play an important role in bringing about this result. Long-run analysis reveals that this scenario is associated with instability in the long run and that, also in the long run, the extent of foreign indebtedness and the responsiveness of capital inflows to the return on existing portfolios are important in determining the direction of the effects of inflation targeting on the equilibrium debt–capital ratio.     

中国银行业资本补充工具的创新及其应用

本文基于巴塞尔III中资本的重新定义和要求,围绕着中国银行业目前资本工具缺乏的现状,在总结归纳了国际资本创新工具的经验基础上,从中国银行业面临的实际监管环境和市场环境出发,分别从监管者和商业银行自身的角度分析阐述了拓展资本补充工具的路径和要点。     

How does working capital management affect the profitability of Spanish SMEs?

This paper analyzes the relation between working capital management and profitability for small and medium-sized enterprises (SMEs) by controlling for unobservable heterogeneity and possible endogeneity. Unlike previous studies, we examine a non-linear relation between these two variables. Our results show that there is a non-monotonic (concave) relationship between working capital level and firm profitability, which indicates that SMEs have an optimal working capital level that maximizes their profitability. In addition, a robustness check of our results confirms that firms?? profitability decreases as they move away from their optimal level.     

Human resource management in multinational and domestic enterprises: A comparative institutional analysis in Southeast Asia

This article looks at the relative impact of context on the role of senior managers. It compares HR directors of domestic enterprises (DEs) with those of multinational enterprises (MNEs), within an emerging market setting, based on a survey of HR directors in Brunei. We found that, with the exception of some aspects of selection and recruitment, HR directors of MNEs accorded a higher priority to strategic tasks but were more reluctant to delegate. This study confirms the importance of MNEs in pioneering more modern and integrated approaches to people management but also demonstrates the limitations to the extent where they might act as evangelists of new practices that are adopted by their local peers. In contrast, local firms were more likely to concentrate their attention on administrative, rather than strategic, issues. We draw out the implications of our findings for theory and practice.     

Bayesian Inference in Spatial Sample Selection Models

In this study, we consider Bayesian methods for the estimation of a sample selection model with spatially correlated disturbance terms. We design a set of Markov chain Monte Carlo algorithms based on the method of data augmentation. The natural parameterization for the covariance structure of our model involves an unidentified parameter that complicates posterior analysis. The unidentified parameter – the variance of the disturbance term in the selection equation – is handled in different ways in these algorithms to achieve identification for other parameters. The Bayesian estimator based on these algorithms can account for the selection bias and the full covariance structure implied by the spatial correlation. We illustrate the implementation of these algorithms through a simulation study and an empirical application.     

Does data matter? Statewide longitudinal data systems and student performance in the U.S.

Although many industries have benefited from advances in data-driven technology, education is making small steps in capitalizing on the huge potential of data systems. Since 2005, the U.S. Federal Government has been making large grants to help states build statewide longitudinal data systems (SLDS) with the goal of improving programme and teacher evaluation and engage in data-driven decision-making. We analyse whether the introduction of SLDSs improved student performance, measured using test scores for math and reading tests for 4th and 8th graders, as well as high school graduation rates. We find no effects of SLDSs on student performance up to 10 years from implementation. However, we find suggestive evidence that these systems may have long-run effects, emphasizing the long-run nature of educational data collection and policy analysis.     

Heteroskedasticity-consistent covariance matrix estimators for spatial autoregressive models

In the presence of heteroskedasticity, conventional test statistics based on the ordinary least squares (OLS) estimator lead to incorrect inference results for the linear regression model. Given that heteroskedasticity is common in cross-sectional data, the test statistics based on various forms of heteroskedasticity-consistent covariance matrices (HCCMs) have been developed in the literature. In contrast to the standard linear regression model, heteroskedasticity is a more serious problem for spatial econometric models, generally causing inconsistent extremum estimators of model coefficients. This paper investigates the finite sample properties of the heteroskedasticity-robust generalized method of moments estimator (RGMME) for a spatial econometric model with an unknown form of heteroskedasticity. In particular, it develops various HCCM-type corrections to improve the finite sample properties of the RGMME and the conventional Wald test. The Monte Carlo results indicate that the HCCM-type corrections can produce more accurate results for inference on model parameters and the impact effects estimates in small samples.