Employee Relations and the Likelihood of Occurrence of Corporate Financial Distress

Abstract:   In this paper, we investigate the association of employee relations with the occurrence of onset of financial distress. We argue that if adverse economic conditions arise, firms that have maintained good employee relations will be more effective in obtaining temporary labor concessions. As a result, firms with good employee relations, to the extent they are dependent on labor in the conduct of business operations, should be more likely to avoid the onset of future financial distress. The empirical findings we document support this prior.     

Farm-Level Economic Performance of Genetically Modified Cotton in Maharashtra, India

A study of the commercial growing of Bacillus thuringiensis (Bt) cotton in India, compares the performance of over 9,000 Bt and non-Bt cotton farm plots in Maharashtra over the 2002 and 2003 seasons. Results show that since their commercial release in 2002, Bt cotton varieties have had a significant positive impact on average yields and on the economic performance of cotton growers. Regional variation showed that, in a very few areas, not all farmers had benefited from increased performance of Bt varieties.     

CEO Influence and Executive Compensation

The sales-maximization hypothesis and the shareholder wealth-maximization hypothesis have been suggested in prior finance literature to explain the determinants of CEO pay. This paper proposes that CEO influence over the board is an additional explanation for the size of CEO pay. Evidence from the 1989–1991 period indicates that CEO pay is positively related to measures of CEO influence over the board. Results of this study suggest that CEO salary levels are mostly a function of CEO influence over the board, the growth in sales and the size of the firm.     

RESOURCE PRODUCTIVITY,RETURNS TO SCALE AND FARM SIZE IN INDIAN AGRICULTURE: SOME RECENT EVIDENCE*

A perceptible technological transformation has been under way in India during the last few years. The output of total foodgrains increased sharply between 1967-68 and 1970-71 over previous years. There is enough evidence to show that the technological change has resulted in an upward shift in production functions for major crops, especially for wheat.     

Interval-Valued Intuitionistic Fuzzy WASPAS Method: Application in Reservoir Flood Control Management Policy

Interval-valued intuitionistic fuzzy sets (IVIFSs) are very flexible tool to cope with the uncertainty arises in multi-criteria decision making (MCDM) problems. In recent times, MCDM problems with interval-valued intuitionistic fuzzy information have achieved more attention from researchers in different areas and consequently, several MCDM methods have been extended for IVIFSs. In this paper, a novel approach based on WASPAS method is developed under IVIFSs. The developed method is based on the operators of IVIFSs, some amendments in the classical WASPAS method and a new process for calculation of criteria and decision experts’ weights. In process for calculating weights, new procedures is propoesd to compute the decision experts’ weights and criteria weights based on interval-valued intuitionistic fuzzy information measures (entropy, divergence and similarity measures) to achieve more realistic weights. Innovative information measures are developed based on the exponential function for IVIFSs to determine the weights of the criteria and decision experts. Since the uncertainty is an unavoidable feature of MCDM problems, the developed method can be a constructive tool for decision-making in an uncertain environment. Further, an uncertain decision making problem of reservoir flood control management policy is implemented with interval-valued intuitionistic fuzzy information, which reveals the effectiveness and reliability of the proposed IVIF-WASPAS method. To validate the result, comparative analysis with existing methods and sensitivity analysis are presented under interval-valued intuitionistic fuzzy environment.     

Enterprise Risk Management Program Quality: Determinants,Value Relevance,and the Financial Crisis

This paper investigates factors associated with high‐quality Enterprise Risk Management (ERM) programs in financial services firms, and whether ERM quality enhances performance and signals credibility to the financial markets. ERM, developed with the assistance of the accounting profession, provides a framework and plan to integrate management of all sources of risk. Challenged by measurement difficulties common to research on management control systems, prior ERM studies present mixed findings. Using ERM quality ratings of financial companies by Standard & Poor's, we find that higher ERM quality is associated with greater complexity, less resource constraint, and better corporate governance. Controlling for such characteristics, we find that higher ERM quality is associated with improved accounting performance. Results show a market reaction to signals of enhanced management control from initial ERM quality ratings and rating revisions, and a stronger response to earnings surprises for firms with higher ERM quality. Focusing on the recent global financial crisis, our analysis suggests that there is no relation between ERM quality and market performance prior to and during the market collapse. However, returns of higher ERM quality companies are higher during the market rebound. Overall, results reveal that firm performance and value are enhanced by high‐quality controls that integrate risk management efforts across the firm, enabling better oversight of managers' risk‐taking behavior and aligning that behavior with the strategic direction of the company.     

On stochastic comparisons of minimum order statistics from the location–scale family of distributions

We consider stochastic comparisons of minimum order statistics from the location–scale family of distributions that contain most of the popular lifetime distributions. Under certain assumptions, we show that the minimum order statistic of one set of random variables dominates that of another set of random variables with respect to different stochastic orders. Furthermore, we illustrate our results using some well-known specific distributions.     

Industry expertise on corporate boards

Recent surveys indicate that industry expertise is the most sought-after director qualification. Yet evidence on the value of such expertise is limited. This paper shows that firms that are difficult for non-experts to monitor and advise are more likely to appoint industry expert directors. Such appointments also depend on the supply of industry-experienced candidates in the local director labor market. Board industry expertise reduces R&D-based real earnings management and increases R&D investments. The increase in R&D spending is value-enhancing: firms with industry expert directors receive more patents for the same level of R&D, their R&D spending is associated with lower volatility of future earnings, and their value is higher. Finally, industry expertise is associated with CEO termination and pay incentives that encourage R&D investments.