This study examines the value of voluntary and mandatory disclosure in a market that applies International Accounting Standards (IAS) with limited penalties for noncompliance. The lack of enforcement creates an element of choice in the level of mandatory disclosure by companies. Using panel data analysis, our empirical results show that, after controlling for factors such as asset size and profitability, mandatory disclosure has a highly significant but negative relationship with firm value. This result, although puzzling from a traditional perspective, is consistent with the predictions of analytical accounting models, which emphasise the complex interplay of factors determining disclosure effects. Our results also show that voluntary disclosure has a positive but insignificant association with firm value. This lack of statistical significance supports the view that there is a complex interplay of different factors determining the relationship between disclosure and firm value.

This study examines the associations and causations between corporate economic performance, environmental disclosure and greenhouse gas emissions, utilizing a large, longitudinal, multicountry dataset disaggregated between developed and developing countries. The methodology uses a simultaneous equation model with system estimation to deal with endogeneity between the variables, and Granger causality tests to indicate their direction of causation. A robust result is that lower emissions are strongly associated with better economic performance. After pretesting for stationarity, we find evidence of a one‐way causation from emissions and environmental disclosure to economic performance, but no evidence of reverse causation. We also find strong evidence of a one‐way causation from emissions to disclosure, but no evidence of reverse causation. The overarching policy implication is that environmental performance, as measured by greenhouse gas emissions, plays a crucial role in the formulation of business strategy at the firm level and government environmental policy at national and international levels.

This paper uses panel data to investigate the extent and determinants of disclosure levels of non-financial companies quoted on the Egyptian Stock Exchange.Results show gradual increases in disclosure levels, with a high compliance for mandatory disclosure, although the voluntary disclosure level was rather limited.Public sector companies appear generally to disclose less information than private sector companies in terms of the layout of the balance sheet, cash flow statement, notes to accounts, policies adopted in preparing the financial statements, and general information. Furthermore, more profitable companies disclose more information than less profitable ones. Results for firm size, gearing and stock activity are mixed.

A general to specific methodology is used to construct UK demand for outbound tourism models to twelve destinations. A tourism destination preference index is introduced to take into account social, cultural and psychological influences on tourists' decisions concerning their overseas holiday destinations. The tests support the existence of a cointegration relationship for each of 11 UK overseas holiday destinations. The corresponding error correction models are estimated. The empirical results show that the long-run income elasticities for all destinations range from 1.70 to 3.90 with an average of 2.367. The lowest and highest short-run income elasticities are 1.05 and 3.78 respectively, with an average of 2.216. The estimates of the income elasticities imply that overseas holidays are highly income elastic while the own-price elasticities suggest that the demand for UK outbound tourism is relatively own-price inelastic. In terms of the significance of substitution prices in the regression equations, Ireland is the favourite substitute destination for UK outbound tourists. Ex post forecasts over a period of six years are generated from the ECM models and the results compared with those of a naive model, an AR(1) model, an ARMA(p,q) model, and a VAR model. The forecasting performance criteria show that the ECM model has the best overall forecasting performance for UK outbound tourism.

This paper addresses two problems faced by many forecasters in the transport sector, namely how to use a relatively small sample to forecast car ownership over a long period of time and avoid the difficulties caused by spurious or nonsense regressions. Five alternative estimation methods are used to test for cointegrating relationships between per capita car ownership (and use) and real per capita personable disposable income, real motoring costs and real bus fares. These are the Engle-Granger two-stage, the Phillips-Hansen fully modified, the Wickens-Breusch one-stage, the autoregressive distributed lag, and the Johansen maximum likelihood methods. The corresponding error correction models are estimated, and a comparison made between the derived short- and long-run demand elasticities for car ownership and use. The ex-post forecasting performance of the error correction models, together with an ARIMA model specification, is evaluated using a number of performance criteria. The long-range time series forecasts obtained from the cointegrating regressions are compared with those from the cross-sectional approach used by the UK Department of the Environment, Transport and the Regions, and the policy implications discussed.