The supply-side of environmental sustainability and export performance: The role of knowledge integration and international buyer involvement

Most of previous studies seek to understand buyer perspectives in green supply chain relationships and devote inadequate attention to the strategic role of upstream suppliers. Drawing on a market-oriented approach to sustainability, this paper examines the enabling factors and processes that underpin how export suppliers from emerging economies leverage their strategic intent to develop knowledge integration capacity for achieving improved export performance. The results from a sample of Chinese exporters show that the relational capacity of knowledge integration mediates the performance impact of market-oriented environmental sustainability, and such a mediating process of leaning is further enhanced by international buyer involvement. We reveal that relationship efforts should be directed at developing integrative capacity involving key partners for implementing proactive environmental strategy in international business-to-business (B2B) markets. This study contributes to the research of supply chain sustainability in a global context.     

Bootstrapping Financial Time Series

It is well known that time series of returns are characterized by volatility clustering and excess kurtosis. Therefore, when modelling the dynamic behavior of returns, inference and prediction methods, based on independent and/or Gaussian observations may be inadequate. As bootstrap methods are not, in general, based on any particular assumption on the distribution of the data, they are well suited for the analysis of returns. This paper reviews the application of bootstrap procedures for inference and prediction of financial time series. In relation to inference, bootstrap techniques have been applied to obtain the sample distribution of statistics for testing, for example, autoregressive dynamics in the conditional mean and variance, unit roots in the mean, fractional integration in volatility and the predictive ability of technical trading rules. On the other hand, bootstrap procedures have been used to estimate the distribution of returns which is of interest, for example, for Value at Risk (VaR) models or for prediction purposes. Although the application of bootstrap techniques to the empirical analysis of financial time series is very broad, there are few analytical results on the statistical properties of these techniques when applied to heteroscedastic time series. Furthermore, there are quite a few papers where the bootstrap procedures used are not adequate.     

Excessive Investment in Hospital Capacities

In the present study I identify an inherent characteristic of health care markets that may lead to excessive investment by hospitals even when compensated according to a prospective reimbursement rule. It is demonstrated that the stochastic nature of the demand for medical services combined with the lumpiness of investment decisions may give rise to excessive investment when multiple hospitals select independently their levels of capacities. The source for the excessive incentives to invest is the difficulty of one hospital to internalize properly the externality generated by its investment decisions. Such an externality arises because when one hospital expands its capacity, it is more likely to be able to serve not only patients residing in its region but patients residing in neighboring regions as well.     

Multiprincipal Agency Relationships as Implied by Product Market Competition

This paper surveys recent work in contract theory that relates to the allocation of tasks among agents within an organization as well as to the effect of product market competition upon optimal contracting and agency costs.     

On the Equivalence of Ad Valorem Tariffs and Specific Tariffs under Duopoly*

Using a quantity conjectural variation model, this paper examines whether an ad valorem tariff and a specific tariff are equivalent under duopoly. We show that if the average per‐unit import tax is the same for the two tariffs, domestic output will be smaller while foreign output will be larger under an ad valorem tariff. We further show that for any value of a specific tariff, there is a Pareto‐superior ad valorem tariff for all values of conjectural variation except in the case of perfect competition where the two tariffs are equivalent.     

Allocating Ideas: Horizontal Competition in Tournaments

We develop a stylized model of horizontal and vertical competition in tournaments with two competing firms. The sponsor cares not only about the quality of the design but also about the design location. A priori not even the sponsor knows his preferred design location, which is only discovered once he has seen the actual proposals. We show that the more efficient firm is more likely to be conservative when choosing the design location. Also, to get some differentiation in design locations, the cost difference between contestants can be neither too small nor too big. Therefore, if the sponsor mainly cares about the design location, participation in the tournaments by the two lowest-cost contestants cannot be optimal for the sponsor.     

Optimal portfolios with minimum capital requirements

We propose a novel approach to active risk management based on the recent Basel II regulations to obtain optimal portfolios with minimum capital requirements. In order to avoid regulatory penalties due to an excessive number of Value-at-Risk (VaR) violations, capital requirements are minimized subject to a given number of violations over the previous trading year. Capital requirements are based on the recent Basel II amendments to account for the ‘stressed’ VaR, that is, the downside risk of the portfolio under extreme adverse market conditions. An empirical application for two portfolios involving different types of assets and alternative stress scenarios demonstrates that the proposed approach delivers an improved balance between capital requirement levels and the number of VaR exceedances. Furthermore, the risk-adjusted performance of the proposed approach is superior to that of minimum-VaR and minimum-stressed VaR portfolios.