Structural variability and its relation to edaphic attributes of mangroves in the south‐west coast of India

We estimated the tree structural variables (density, frequency and basal area) of true mangroves and soil variables like particle size distribution, carbon, available nitrogen and phosphorus, sulphur, nutrient cations (K, Na, Ca, Mg) of Cochin mangroves and examined the relationship between vegetation and environment. The study sites were classified as seaward fringe, riverine and interior. Of the thirteen true mangrove species present, Avicennia officinalis, Sonneratia caseolaris and Excoecaria agallocha showed higher Importance Value Index. The mean stem density varied from 80 to 25,000 no./ha and basal area from 0.1 to 39.68 m²/ha. Seaward mangroves showed maximum stand basal area and biomass production while riverine exhibited maximum density. Maturity Index value of Cochin mangroves revealed a very low degree of structural maturity. Interior mangroves were characterized by silty soil with higher nutrient concentrations. Principal component analysis of soil data revealed that the major factors influencing mangrove vegetation were soil texture, nutrients, salinity and oxidation–reduction potential. The stem density and basal area of different species correlated highly with soil nutrients and texture (p < .001) while salinity showed negative correlations with vegetation characteristics. The data generated in the study would be fundamental in site‐specific management and conservation efforts of these degrading mangroves.     

Chief Financial Officers as Inside Directors

Considerable prior research investigates whether the extent of insider presence on corporate boards is detrimental. However, the majority of past research treats all inside directors as a homogenous group. This study considers that issue in the context of chief financial officers (CFO) serving on their own company's board. Our research is important because individuals in different executive roles bring different skills and knowledge to board interactions, highlighting the potential for differential contributions. As prior research does not specifically distinguish CFOs from other board insiders, the potential benefits of knowledge sharing due to increased communication with other board members may have been masked. Specifically, the CFO is directly responsible for the quality of the financial reporting process and can therefore be associated with specific outcome measures. Our results show that the percentage of CFOs serving on their own boards is not large, likely due to the perspective (consistent with agency theory and reflected in independence guidelines) that company insiders on boards could promote their own best interest at the expense of shareholders. Contrary to this perception, we find that companies whose CFO has a seat on the board are associated with higher financial reporting quality (i.e., a lower likelihood of reporting a material weaknesses in internal controls or having a financial restatement, and better accruals quality). Yet, we also find potential drawbacks in that CFOs with a board seat tend to have higher excess compensation and lower likelihood of termination following poor performance, signaling greater entrenchment. While our results provide information to companies considering appointing the CFO to the board, both costs and benefits are demonstrated, and thus we conclude that each board should consider this decision based on its own circumstances and composition.     

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.     

Identification of Drought Occurrences Using Ensemble Predictions up to 20-Days in Advance

In the present study, skill of an extended range forecast system has been evaluated for identifying droughts over central India 20-days in advance. Rainfall forecasts from 44 ensemble members of the forecast system developed Indian Institute of Tropical Meteorology (IITM), Pune have been used to prepare probabilistic rainfall forecasts. It is seen that the uncertainties in the forecasts (in terms of ensemble spread) increases from day-5 to day 20. As the focus of the study is for drought predictions, forecasts in the bins 0-5 mm/5 day and 5-25 mm/5 day (no rain or less rain) were studied in detail. It is found that the modeling system has a tendency to over-forecast rainfall probabilities. With bias correction, the forecasts become more reliable. Various drought indices were computed using the mean of the forecast distribution up to 20-days in advance. Standardized precipitation index (SPI) computed using Gamma and Pearson type-III distributions are similar in the study region. It was found that these are in reasonable agreement with those from observations. Probabilistic forecasts of standardized precipitation index (SPI) were made and the relative operating characteristics (ROC) scores indicate that the forecasted SPI values are suitable for application.     

Equipment-related injuries in agriculture: an international perspective

Injuries related to agricultural equipment are a significant cause of morbidity and mortality, in both high-income and low-income countries. Tractors are most often associated with severe injuries and fatalities. All age groups sustain injuries. Injuries to children are also prevalent because the sites of agricultural work overlap homes in rural areas. In the majority of papers reviewed, preventive methods are mostly targeted at behaviour modification and effective medical facilities, whereas only a few authors have highlighted design changes and passive measures for injury control. The effectiveness of suggested interventions is not discussed in the majority of papers except those related to roll-over protection structures, fodder cutting machines and thresher safety devices.     

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.     

Can sell-side analysts’ experience,expertise and qualifications help mitigate the adverse effects of accounting reporting complexity?

Review of Quantitative Finance and Accounting - We examine the relation between accounting reporting complexity and analysts’ performance and whether analysts’ qualifications,...     

Estimation of Soil Erosion for a Himalayan Watershed Using GIS Technique

The fragile ecosystem of the Himalayas has been an increasing cause of concern to environmentalists and water resources planners. The steep slopes in the Himalayas along with depletedforest cover, as well as high seismicity have been major factors in soil erosion and sedimentation in river reaches. Prediction ofsoil erosion is a necessity if adequate provision is to be madein the design of conservation structures to offset the ill effects of sedimentation during their lifetime.In the present study, two different soil erosion models, i.e. theMorgan model and Universal Soil Loss Equation (USLE) model, have been used to estimate soil erosion from a Himalayan watershed.Parameters required for both models were generated using remotesensing and ancillary data in GIS mode. The soil erosion estimated by Morgan model is in the order of 2200 t km^-2 yr^-1 and is within the limits reported for this region.The soil erosion estimated by USLE gives a higher rate. Therefore, for the present study the Morgan model gives, for area located in hilly terrain, fairly good results.