Normativity in Environmental Reporting: A Comparison of Three Regimes

Normativity is assessed as we evaluate and compare the environmental reporting practices of a sample of French and Canadian companies through the lens of institutional legitimacy. More specifically, we examine how French and Canadian firms changed their reporting practices in reaction to the promulgation of laws and regulations in their respective countries, i.e., the NER and Grenelle II Acts in France, and National Instrument 51-102 and CSA Staff Notice NR 51-333, issued by the Canadian Securities Administrators. The firms’ voluntary disclosures according to GRI guidelines are also investigated. Substantive legitimacy theory is used to explore the level of substantive disclosures provided by Canadian and French firms. The findings reveal that the French parliamentary regime is more successful than the Canadian stock exchange regulation in triggering environmental reporting, and that the GRI combined with local regimes prompts environmental disclosures. Notwithstanding the improvements in environmental reporting under all three regimes, a very low level of substantive disclosure is noted in both countries.     

Investment in Africa's Manufacturing Sector: A Four Country Panel Data Analysis

Firm level data for the manufacturing sector in Africa, presented in this paper, shows very low levels of investment. The importance of profit effects on investment is investigated using a flexible accelerator, a specification based on the Euler equation and a simple generalisation of these specificiations. There are controls for firm fixed effects. It is shown that the profit effect is very similar for both the accelerator and Euler equation specifications. A comparison with other studies shows that, for small firms, the effect is much smaller in Africa than for other countries. Reasons for the relative insensitivity of investment to profits in African firms are suggested. For the most general specification tested there are no significant differences in the size of the profit effect across the four countries in the study.     

Is Asia Decoupling from the United States (Again)?

The recovery from the recent global financial crisis exhibited a decline in the synchronization of Asian output with the rest of the world. However, a simple model based on output gaps demonstrates that the decline in business cycle synchronization during the recovery from the global financial crisis was exceptionally steep by historical standards. We posit two potential reasons for this exceptionally steep decline. First, financial markets during this recovery improved from particularly distressed conditions relative to previous downturns. Second, monetary policy during the recovery from the crisis was constrained in developed economies by the zero bound, but less so in Asia. To test these potential explanations, we examine the implications of an increase in corporate bond spreads similar to that which took place during the recent European financial crisis in a three‐region open‐economy dynamic stochastic general equilibrium model. Our results confirm that global business cycle synchronization is reduced when zero‐bound constraints across the world differ. However, we find that the impact of reduced financial contagion actually goes modestly against our predictions.     

信息通信技术对马达加斯加旅游业的影响

<正>我们是否有明显的证据表明马达加斯加的旅游观光产业有很强的竞争优势呢?几乎所有的相关文献都一致认为马达加斯加的旅游观光产业有很可观的潜力。这些竞争优势来源于该国独特的     

New Canadian Accounting Standards for Private Enterprises and the Adoption Timing Decision

Prior research into the adoption timing decision of organisations in relation to newly promulgated accounting standards has focused exclusively on public enterprises and used economic cost–benefit frameworks as a main method of analysis. The current study examines the impact of a broader range of factors, including cost–benefit considerations, on the adoption timing decision of private firms with respect to the new set of Canadian accounting standards for private enterprises released in 2009. These factors were organised into a coherent framework using the theory of planned behaviour. The survey findings reveal that several items related to attitudes towards the behaviour, subjective norms and perceived behavioural control play a significant role in managers’ adoption behaviour. This study provides relevant insights for private enterprise managers, financial statement users, standard setters and academics.     

Lower Bound Restrictions on Intensities in Data Envelopment Analysis

We propose an extension to the basic DEA models that guarantees that if an intensity is positive then it must be at least as large as a pre-defined lower bound. This requirement adds an integer programming constraint known within Operations Research as a Fixed-Charge (FC) type of constraint. Accordingly, we term the new model DEA_FC. The proposed model lies between the DEA models that allow units to be scaled arbitrarily low, and the Free Disposal Hull model that allows no scaling. We analyze 18 datasets from the literature to demonstrate that sufficiently low intensities—those for which the scaled Decision-Making Unit (DMU) has inputs and outputs that lie below the minimum values observed—are pervasive, and that the new model ensures fairer comparisons without sacrificing the required discriminating power. We explain why the low-intensity phenomenon exists. In sharp contrast to standard DEA models we demonstrate via examples that an inefficient DMU may play a pivotal role in determining the technology. We also propose a goal programming model that determines how deviations from the lower bounds affect efficiency, which we term the trade-off between the deviation gap and the efficiency gap.     

Moments structure of ? 1-stochastic volatility models

We consider Taylor??s stochastic volatility model (SVM) when the innovations of the hidden log-volatility process have a Laplace distribution (? ₁ exponential density), rather than the standard Gaussian distribution (? ₂) usually employed. Recently many investigations have employed ? ₁ metric to allow better modeling of the abrupt changes of regime observed in financial time series. However, the estimation of SVM is known to be difficult because it is a non-linear with an hidden markov process. Moreover, an additional difficulty yielded by the use of ? ₁ metric is the not differentiability of the likelihood function. An alternative consists in using a generalized or efficient method-of-moments (GMM/EMM) estimation. For this purpose, we derive here the moments and autocovariance function of such ? ₁-based stochastic volatility models.     

Why is child labor illegal?

We present a theory of the emergence of laws restricting child labor or imposing mandatory education that is consistent with the fact that poor parents tend to oppose such laws. We find that if altruistic parents are unable to commit to educating their children, child-labor laws can increase the welfare of higher-income parents in an ex ante sense. On the basis of an empirical analysis of Latin-American household surveys, we demonstrate that per capita income in the country of residence has the predicted effect on child labor supply, even after controlling for other household characteristics.     

Non-asymptotic tests of model performance

This paper describes a non-asymptotic approach to the problem of selection bias in economic forecasting. By using non-asymptotic measure concentration results, it is possible to deal with settings in which the class of potential models is large with respect to the number of data points. The bounds on p values obtained by these methods are necessarily conservative, but they provide a useful benchmark for model selection in settings where asymptotics may not apply.