Investigating the moderating effect of information sources on cruise tourist behaviour in a port of call

The aim of the study is to examine how destination knowledge acquired by cruisers through different information sources (online versus others) can moderate destination image formation and the relationship of image–satisfaction–behavioural intentions in a port of call. A multiple group analysis with partial least square method was carried out using data collected from a major tourism destination in Spain: Valencia. The findings revealed knowledge acquired through different information sources is a moderator of the image–satisfaction and satisfaction–behavioural intention relationships. The destination image formation is also significantly different from one group to the other. The findings of this study have a number of practical implications.     

A framework to measure integrated risk

A framework underlying various models that measure the credit risk of a portfolio is extended in this paper to allow the integration of credit risk with a range of market risks using Monte Carlo simulation. A structural model is proposed that allows interest rates to be stochastic and provides closed-form expressions for the market value of a firm's equity and its probability of default. This model is embedded within the integrated framework and the general approach illustrated by measuring the risk of a foreign exchange forward when there is a significant probability of default by the counterparty. For this example moving from a market risk calculation to an integrated risk calculation reduces the expected future value of the instrument by an amount that could not be calculated using the common pre-settlement exposure technique for estimating the credit risk of a derivative.     

Optimal Land Development with Endogenous Environmental Amenities

A spatially explicit model of the optimal timing and location of land development is presented that incorporates dynamic interactions between land development and water quality. Ignoring two-way interactions leads to a lower level of water quality, more development, and lower social welfare. The optimal pace and pattern of development can be achieved through the assessment of an impact fee that internalizes pollution damages and irreversibility costs. Our results demonstrate the importance of accounting for the spatial dimension of land use, the interdependence between land use and environmental quality, and development irreversibility in models of urbanization and amenity-driven growth.     

Wages in a growing Russia

The robust Russian economic recovery after the 1998 financial crisis raised the economic standing of the population, especially for lowly paid workers, most of whom are women. In this paper I use the Russian Longitudinal Monitoring Survey from 1996 through 2002 to ask whether this helped to reduce the gender wage gap. I first focus on those whose wages are paid in full. Next, I ask about the gender composition of wage arrears as the overall extent of wage arrears dropped from 60 to 20 per cent after the 1998 crisis. I show that a temporary widening of the overall gender wage gap in 2000 is due to low‐wage women becoming more likely to receive their wages in full than low‐wage men. Except for this effect, the male–female pay difference in Russia exhibits a stable pattern.     

Impact of China's WTO Accession on East Asia

The industrialized and newly industrializing economies (NIEs) in East Asia will benefit from China's WTO accession, and the developing economies in the region may incur small welfare losses. China will increase its demand for high-end manufacturing products from Japan and the NIEs and farm products, natural resources, and manufactured goods from developing East Asia. New foreign investment may flow into these expanding sectors. The overall impact on foreign investment is likely to be positive in the NIEs but negative in developing East Asia. The NIEs may face heightened competition in global markets as China's comparative advantage shifts into high-end products. (JEL F11 , F13 , F15 )     

Determinants of Residential Land-Use Conversion and Sprawl at the Rural-Urban Fringe

We estimate a probit model of residential land conversion using parcel-level data from a rural-urban county in Ohio. Spatial landscape pattern metrics are used to quantify land-use patterns and to link patterns of residential sprawl with factors estimated to influence parcel-level land conversion. Findings indicate that the location of new residential development is influenced by preferences for lower density areas that nonetheless are close to existing urban development. Combined, these forces have generated a moderated pattern of residential sprawl. Spatial error autocorrelation is controlled using a spatial sampling technique that enables consistent estimation of the probit model.     

Deposit guarantee evaluation and incentives analysis in a mutual guarantee system

This paper analyzes how the deposit guarantee value affects the risk incentives in a mutual guarantee system. We liken the guarantee’s value to that of a European-style contingent claims portfolio. The main feature emerging from our model is that a mutual guarantee system would give banks an adverse incentive to increase riskiness. To mitigate this incentive, we introduce a regulatory provision modelled using a path-dependent contingent claim. By comparing the mutual guarantee system with a non-mutual one, we show that the former is less expensive, but implies higher adverse incentives for the banks, especially for undercapitalized institutions.     

Spatially explicit micro-level modelling of land use change at the rural–urban interface

This paper describes micro‐economic models of land use change applicable to the rural‐urban interface in the US. Use of a spatially explicit micro‐level modelling approach permits the analysis of regional patterns of land use as the aggregate outcomes of many, disparate individual land use decisions distributed across space. In contrast to the models featured by Nelson and Geoghegan, we focus on models that require spatially articulated data on parcel‐level land use changes through time. In characterising the spatially disaggregated models, we highlight issues uniquely related to the management and generation of spatial data and the estimation of micro‐level spatial models.