Land contamination risk management in Cameroon: A critical review of the existing policy framework

Land affected by contamination from human activities has been identified as a major environmental problem in developed countries and there are established mechanisms for identifying, prioritising, characterising, assessing and remediating the land so that risks to human health and environmental receptors are minimised. However, comparative mechanisms and approaches for sustainable land management are often lacking in developing countries such as Cameroon. This paper presents a critical review of the existing policy framework in Cameroon in relation to environmental management, particularly land contamination.It is established that in Cameroon, there is an acute lack of comprehensive information on land contamination from economic development and industrialisation, inadequate legal and institutional framework, weak enforcement capacity and unsatisfactory coordination between various stakeholders towards sustainable land management practices. The coastal town of Douala, which has the highest level of industrial activity in the sub region is used to demonstrate how dealing with land contamination is a public health priority and requires attention in the context of sustainable development. The United Kingdom (UK) regulatory policy framework on land contamination risk management is used to show how land contamination issues and risk management approaches, including conceptual site models, could be introduced into the sustainability discourse in Cameroon. A number of recommendations including proposals for a radical overhaul of the current regulatory policy framework are formulated and presented. Specifically, the creation of an independent Cameroon Environment Protection Agency (CEPA) that will be the main regulatory body responsible for developing and implementing the policy proposals in this paper is advocated.     

Abuse and Exploitation of Doctoral Students: A Conceptual Model for Traversing a Long and Winding Road to Academia

Journal of Business Ethics - This paper develops a conceptual model of PhD supervisors’ abuse and exploitation of their students and the outcomes of that abuse. Based on the literature about...     

Economic impact of a private sector micro-financing scheme in South Dakota

While poverty rates on Native American Indian reservations are triple the US average. Small business incubation programs, available elsewhere in the US, scarcely exist on the Native American Indian Reservations (NAIRs). Our unique study tests the effects of the Lakota Fund (LF), a private sector small business development initiative on the Pine Ridge Reservation in South Dakota, on the economic development of the NAIRs. Our objective is to determine whether the SBA-like programs (loans, training, and consulting) can improve economic conditions. The 1980–2006 annual county-level (Shannon Co. is ‘treatment,’and Todd Co. is ‘control’) data are a natural experiment. Results indicate that the LF inception and duration significantly raised real per capita income (RPCI)—suggesting not only the success of the LF, but support for the broader notion that privately funded small business initiatives can be used to support economic development of isolated impoverished groups within the US economy.     

The Impact of Cross‐Listing on the Home Market's Information Environment and Stock Price Efficiency

We empirically examine changes in information asymmetry and informational efficiency of cross‐listed stocks in their home market around a cross‐listing in the United States. We estimate intraday market microstructure measures of information asymmetry and price efficiency, and find that a U.S. cross‐listing significantly improves the quality of a firm's information environment and stock price efficiency in the home market. This improvement is stronger for cross‐listings that take place after the adoption of Sarbanes‐Oxley Act. Our results demonstrate that stricter disclosure from a U.S. cross‐listing is beneficial, in line with the legal and reputational bonding hypotheses.     

Partially overlapping time series: a new model for volatility dynamics in commodity futures

In commodity futures markets, contracts with various delivery dates trade simultaneously. Applied researchers typically discard the majority of the data and form a single time series by choosing only one price observation per day. This strategy precludes a full understanding of these markets and can induce complicated nonlinear dynamics in the data. In this paper, I introduce the partially overlapping time series (POTS) model to model jointly all traded contracts. The POTS model incorporates time‐to‐delivery, storability, seasonality and GARCH effects. I apply the POTS model to corn futures at the Chicago Board of Trade and the results uncover substantial inefficiency associated with delivery on corn futures. The results also support two theories of commodity pricing: the theory of storage and the Samuelson effect. Copyright © 2005 John Wiley & Sons, Ltd.     

Corporate tax avoidance and the timeliness of annual earnings announcements

Consistent with an agency theory of tax avoidance, this study investigates the extent to which tax avoidance results in a less timely annual earnings announcement. Using 16,340 firm-years spanning the period 1993–2010, evidence is presented suggesting tax avoidance that manifests through greater temporary and permanent book-tax differences results in a less timely annual earnings announcement. This result is robust to including several controls previously documented to affect reporting delay, including the magnitude of the earnings surprise, size, profitability, auditor-related influences, shareholder composition, capital intensity, financial reporting aggressiveness and financial condition. Evidence is also presented suggesting that tax avoidance impacts the value-relevance of earnings to investors at the announcement date, evaluated by the earnings response coefficient.     

New debt issues and earnings management

We empirically examine the influence and effects of real earnings management (REM) procedures on the debt market by investigating the bond rating and actual market price of a firm's new debt offerings. Extant research provides conflicting representations concerning the effects of REM techniques on equity shareholders and debt market participants. Our results indicate a negative association between all three REM manipulation methods and perceived credit risk resulting in a lower bond rating, and higher market yield of the firm's debt at issuance. Additional analyses exploring the use of REM techniques to achieve analyst's earnings forecasts indicates that this negative effect is particularly significant for firms who only achieve the earnings forecast by utilizing REM methods. Our research adds to the literature by empirically describing the effects of REM techniques on new debt issuances, and contributes to the ongoing debate regarding the efficacy of engaging in real earnings management to achieve known targets.     

Owner-occupancy fraud and mortgage performance

We identify occupancy fraud—borrowers who misrepresent their occupancy status as owner-occupants rather than investors—in residential mortgage originations. Unlike previous work, we show that fraud was prevalent in originations not just during the housing bubble but also persists through more recent times. We also demonstrate that fraud is broad-based and appears in government-sponsored enterprise and bank portfolio loans, not just in private securitization; these fraudulent borrowers make up one third of the effective investor population. Occupancy frauds obtain credit at lower interest rates, suggesting a motivation for undertaking fraud. These fraudulent borrowers perform substantially worse than similar declared investors, defaulting at a 75% higher rate. We also provide evidence consistent with fraudulent borrowers’ defaults being more “strategic,” suggesting that this population poses a risk in the face of declining house prices.