The effects of human capital composition on technological convergence

This paper empirically investigates whether the contribution of human capital to productivity growth depends on the composition of human capital and proximity to the technology frontier in a panel of 87 sample countries over the period 1970–2004. It tests the hypothesis that primary and secondary education is more suitable for imitation whereas tertiary education is more appropriate for innovation. The results show that the growth enhancing effects of higher education increase with proximity to the technology frontier only for high and medium income countries.     

Small firm performance in online markets

Firms which enter the online marketplace do so for a variety of reasons. The effects of the motive for entry on the ultimate success of entry, for both online and ‘blended’ firms, are largely unknown. This study utilises a unique data set of small Australian firms and examines the relationship between the strategic motivation for entry and the actual results of entry. Utilising a trivariate probit model with exogenous ‘reason for entry’ dummy variables, estimates of aftermarket business performance are obtained. The study finds that the entry goal materially affects subsequent performance: firms entering to expand their market size ordinarily succeed, but those entering to reduce costs are often disappointed. Blended firms enjoy no strong advantages over pure online entrants.     

Tourism governance in protected areas: investigating the application of the adaptive co-management approach

Abstract

Protected areas have become popular tourism destinations; yet these areas are often plagued by poor governance systems, particularly in developing countries. Adaptive co-management (ACM) has been advocated as one approach to improve the governance of protected areas, yet empirical evidence from developing countries is lacking. This study investigates the application of the ACM approach in two protected areas in Bangladesh which are also important nature-based tourism destinations. Using Lawachara National Park and Sundarbans East Wildlife Sanctuary as cases, this qualitative study explored the extent to which an ACM approach was able to support the achievement of key governance principles such as participation, accountability, transparency, power, rule of law, and social learning. It was found that the approach was successful in facilitating the increased participation of a broader range of stakeholder groups, and the collaboration between them. Importantly though, it was the adaptive element of ACM which was found to have made the greatest contribution to improved governance with the approach providing new opportunities for stakeholders to engage in iterative learning. This aspect was found to be of particular importance for the sustainability of the protected areas with stakeholders reporting changes attitudes and behaviour towards protected area conservation.     

Do oil consumption and economic growth intensify environmental degradation? Evidence from developing economies

The purpose of this article is to empirically investigate the impact of economic growth, oil consumption, financial development, industrialization and trade openness on carbon dioxide (CO₂) emissions, particularly in relation to major oil-consuming developing economies. This study utilizes annual data from 1980 to 2012 on a panel of 18 developing countries. Our empirical analysis employs robust panel cointegration tests and a vector error correction model (VECM) framework. The empirical results of three panel cointegration models suggest that there is a significant long-run equilibrium relationship among economic growth, oil consumption, financial development, industrialization, trade openness and CO₂ emissions. Similarly, results from VECMs show that economic growth, oil consumption and industrialization have a short-run dynamic bidirectional feedback relationship with CO₂ emissions. Long-run (error-correction term) bidirectional causalities are found among CO₂ emissions, economic growth, oil consumption, financial development and trade openness. Our results confirm that economic growth and oil consumption have a significant impact on the CO₂ emissions in developing economies. Hence, the findings of this study have important policy implications for mitigating CO₂ emissions and offering sustainable economic development.     

Corporate Social Reporting Practice: Evidence from Listed Companies in Bangladesh

This article presents an empirical investigation into the corporate social reporting practices of listed companies from Bangladesh, where corporate social reporting is a matter of voluntary disclosure. Analysis of annual reports published in 2007 reveals that only 15.45% of listed companies made such disclosures. This article presents an extensive survey of the contents, form, nature, and extent of corporate social reporting practices of listed companies. Analysis over a wide range of industries reveals that companies in the banking sector secure the highest rank in terms of corporate social reporting; three fourths of all disclosures are generalized qualitative statements without any attempt at attestation; more than one half of the disclosures are located in the director's report; and the mean amount of disclosures was less than half a page.     

Overlapping Membership on Audit and Compensation Committees and Financial Reporting Quality

This paper examines whether the audit committee members of a board improve financial reporting quality if they are also on their organisation's compensation committee. Audit committees are responsible for overseeing the financial reporting process of organisations and have been urged to broaden their understanding of business risk and of the incentives provided by their firms’ executive compensation structures. Acknowledging the interrelationships among executive compensation, risk‐taking and financial reporting quality, members of audit and compensation committees have been advocating more information sharing between the two committees. Using archival data from a sample of Australian Stock Exchange listed companies, and discretionary accruals as a proxy for financial reporting quality, this study finds that firms with overlapping committees have better quality financial reporting than those without such an overlap. Our evidence for this is stronger in cases where managers tend to manage earnings upwards in order to meet or beat earnings benchmarks. We also find that the beneficial effect of the existence of overlapping committees is adversely affected by the equity holdings of directors with overlapping memberships.     

Voluntary Disclosure in the Annual Reports of New Zealand Companies

New Zealand is currently experiencing a liberal and competitive economic environment which has led to a greater investment interest in corporate securities. Likewise, New Zealand firms are also developing strategies to attract investors, for example, through voluntary disclosure of information. Therefore, the level of information voluntarily disclosed by New Zealand companies is of interest to prospective investors. The purpose of this study is to examine empirically the relationship between five firm-specific characteristics and the general level of accounting information voluntarily disclosed by companies listed on New Zealand Stock Exchange (NZSE). In this study the a priori expectations are based on agency theory. The five firm-specific characteristics examined are: firm size, leverage, assets-in-place, type of auditor, and foreign listing status. The results obtained from cross-sectional regression show that firm size, foreign listing status and leverage are significantly related to the extent of voluntary disclosure. In contrast assets-in-place and type of auditor are not significant explanatory variables. A study of this type would be of particular relevance to accounting policy makers because, inter alia, it helps them in (a) understanding corporate disclosure behaviour, (b) explaining why firms adopt certain disclosure strategies, and (c) developing a coherent and acceptable set of mandatory disclosure requirements.     

Estimating survivor function using optimally selected order statistics

This paper deals with the estimation of survivor function using optimally selected order statistics when the sample sizen is large. We use the estimates (μ*,σ*) based on the optimum set of order statistics for largen and fixedk (≤n) such that the estimate has optimum variance property. The asymptotic relative efficiency of such an estimator is compared with the one based on the complete sample. The general theory of the problem and specific details with respect to a two-parameter Normal, Logistic, Exponential and Pareto distributions is considered as an example.     

Preliminary test ridge regression estimators with student’s <Emphasis Type="Italic">t</Emphasis> errors and conflicting test-statistics

The preliminary test ridge regression estimators (PTRRE) based on the Wald (W), Likelihood Ratio (LR) and Lagrangian Multiplier (LM) tests for estimating the regression parameters has been considered in this paper. Here we consider the multiple regression model with student t error distribution. The bias and the mean square errors (MSE) of the proposed estimators are derived under both null and alternative hypothesis. By studying the MSE criterion, the regions of optimality of the estimators are determined. Under the null hypothesis, the PTRRE based on LM test has the smallest risk followed by the estimators based on LR and W tests. However, the PTRRE based on W test performs the best followed by the LR and LM based estimators when the parameter moves away from the subspace of the restrictions. The conditions of superiority of the proposed estimators for both shrinkage parameter, k and the departure parameter, are provided. Some tables for the maximum and minimum guaranteed efficiency of the proposed estimators have been given, which allows us to determine the optimum level of significance corresponding to the optimum estimator. Finally, we conclude that the estimator based on Wald test dominates the other two estimators in the sense of having highest minimum guaranteed efficiency.