战略物流管理的效益模型

战略物流管理是新兴的现代管理技术 ,其中核心问题是如何提高效益。效益模型的策划和找出影响它的主要因素是本文所要解决的问题     

Inter‐state dynamics of invention activities, 1930–2000

We study the dynamics of the cross‐section distribution of patents per capita for the 48 continental US states from 1930 to 2000 using a discrete‐state Markov chain. We test for and find evidence in favor of the (knowledge) convergence hypothesis. The distribution of patents is converging to a limiting distribution that is significantly more concentrated than its initial distribution. States in the extreme are more mobile than states in the middle of the cross‐sectional distribution and are likely to move to the middle. However, the rate of convergence to the limiting distribution is ‘slow’. Copyright © 2006 John Wiley & Sons, Ltd.     

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.     

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.     

Subnational home market bias in Vietnam: Evidence from enterprise‐level data

This paper contributes to the home (market) bias literature where administrative or political borders limit trade across borders. Home bias is well documented at the national and subnational level. To sort out macro (e.g., location characteristics) and micro (e.g., enterprise characteristics) factors behind home bias, we use small and medium‐sized enterprise (SME) data from Vietnam. Using the fractional multinomial logit model, we find that the proportion of SME sales outside of their home markets is positively associated with enterprise size, age, number of business association memberships and the distance of SMEs' most important supplier. In contrast, the proportion of SME sales to neighbouring provinces is negatively associated with the share of SME production for final consumption. Besides enterprise‐level frictions, market characteristics matter too. The proportion of SME sales to customers in their home markets is negatively associated with home or neighbouring provinces' governance quality, while the proportion of sales to customers in neighbouring provinces is positively associated with these areas' governance quality. These suggest that good governance frees SME resources for use in selling to less familiar markets.     

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.     

我所亲历的三次危机

该文以亲身经历为基础,叙述了在华尔街所经历的三次金融危机;从一个从业人员和普通购房者的视角向读者展示了危机的来龙去脉。文章指出理论上,经济的周期性注定6年的繁荣终究会有尽头;而在实践中,多年的低利率带来的信用泛滥,以及华尔街为追求短期暴利而进行无止境的风险叠加．也致使金融风险扩散到社会和世界的每一个角落。     

Economic diversification of a single-asset tourism city: evidence from Antalya†

It is often argued that the growth of single-asset tourism places is fragile because it is vulnerable to economic fluctuations and is based on specialization and localization economies that lead to an ever stronger lock-in process of path-dependent urban economic development and, in the end, slow growth. In this paper, it is doubted whether a high urban tourism growth implies an ever stronger specialization and an ever stronger lock-in. This paper shows that the growth of tourism stimulates the growth of related and unrelated industries and generates a diversification of the economy, even though some other sectors are crowded out. Antalya (Turkey) is selected as a case-study area not only because its economy is dominated by tourism (it is a good example of a single-asset tourism city), but also because its economy shows a tendency to economic diversification at the sectoral level. This diversification tendency is shown by means of a shift-share analysis and Herfindahl indexes.     

企业的功能和企业集团发展探讨

在现代市场经济体系下,企业集团的建设与发展是经济体制改革的重要内容,也是调整企业组织结构、促进资源合理配置的战略决策之一,本文在对企业功能分析的基础上,探讨了企业集团的建设与发展有关问题,并提出相应实现途径