Integrating Environmental,Social and Governance (ESG) Disclosure for a Sustainable Development: An Australian Study

Addressing environmental, social and governance (ESG) issues has become a critical part of business strategy. This article explores the extent of ESG reporting of metal and mining sector companies listed in the Australian Securities Exchange to determine the nature of ESG indicators in use in the sector. The current study argues that stakeholder engagement is the key to enhance company environmental policy and sustainable development. According to the results of this study, ESG reporting motives are highly influenced by reporting regulations. Given the diversity in reporting of ESG, comparability of ESG strategic performance is problematic. This study contributes towards developing an ESG disclosure index, which companies could use as a legitimacy tool that external stakeholders could use to reliably measure and compare the ESG performance of companies. It also reveals there is an increased demand for more empirical research on integration of sustainability into strategic planning process. Copyright © 2016 John Wiley & Sons, Ltd and ERP Environment     

Rio plus Ten: Politics,Poverty, and Environment

The purpose of this paper is to contrast the work of Douglass North and Karl Polanyi regarding financial institutions associated in market economies. Both implicitly acknowledge the synergy between public and private financial markets, which can serve to solidify an alliance between wealth holders and the state, potentially at the expense of “sociery” at large. This alliance may stimulate growth, according to North, as well as impose the strain of the market, according to Polanyi. Taken together, these insights undercut the classical story of the neutral role of money, as well as the notion of a clear distinction between public and private, politics and markets.     

Federal capital expenditures and budget deficits: Gross national product and labor implications

The issue of separating capital from operating expenditures has been largely ignored in discussions of the U.S. Federal Government's deficit. This paper attempts to overcome this void by conducting a simulation experiment designed to assess the macroeconomic consequences of separating capital from current expenditures under several alternative balanced budget rules and financing arrangements. The alternatives considered are directly related to management accounting issues and thus the purpose of this paper can be seen as compatible with the literature on the relationship between accounting techniques and economic analyses. The results of the study reaffirm the need for federal capital investment planning.     

Modeling Clustered Ordered Categorical Data: A Survey

This article surveys various strategies for modeling ordered categorical (ordinal) response variables when the data have some type of clustering, extending a similar survey for binary data by Pendergast, Gange, Newton, Lindstrom, Palta & Fisher (1996). An important special case is when repeated measurement occurs at various occasions for each subject, such as in longitudinal studies. A much greater variety of models and fitting methods are available than when a similar survey for repeated ordinal response data was prepared a decade ago (Agresti, 1989). The primary emphasis of the review is on two classes of models, marginal models for which effects are averaged over all clusters at particular levels of predictors, and cluster-specific models for which effects apply at the cluster level. We present the two types of models in the ordinal context, review the literature for each, and discuss connections between them. Then, we summarize some alternative modeling approaches and ways of estimating parameters, including a Bayesian approach. We also discuss applications and areas likely to be popular for future research, such as ways of handling missing data and ways of modeling agreement and evaluating the accuracy of diagnostic tests. Finally, we review the current availability of software for using the methods discussed in this article.     

The effect of management control mechanisms through risk-taking incentives on asymmetric cost behavior

Review of Quantitative Finance and Accounting - We investigate the relationship between management control mechanisms, specifically risk-taking incentives targeted at mitigating moral hazard, and...     

Industry learning environments and the heterogeneity of firm performance

This paper characterizes interindustry heterogeneity in rates of learning‐by‐doing, and examines how industry learning rates are connected with firm performance. Using plant‐level data from the U.S. manufacturing sector, we measure the industry learning rate as the coefficient on cumulative output in a production function. We find that learning rates vary considerably among industries and are higher in industries with greater R&D, advertising, and capital intensity. More importantly, we find that higher rates of learning are associated with wider dispersion of Tobin's q and profitability among firms in the industry. These findings suggest that learning intensity represents an important characteristic of the industry environment that affects the range of firm performance. Copyright © 2009 John Wiley & Sons, Ltd.     

Evaluating the Adequacy of Parametric Functional Forms in Estimating Monotone and Concave Production Functions

We consider situations where the a priori guidance provided by theoretical considerations indicates only that the function linking the endogenous and exogenous variables is monotone and concave (or convex). We present methods to evaluate the adequacy of a parametric functional form to represent the relationship given the minimal maintained assumption of monotonicity and concavity (or convexity). We evaluate the adequacy of an assumed parametric form by comparing the deviations of the fitted parametric form from the observed data with the corresponding deviations estimated under DEA. We illustrate the application of our proposed methods using data collected from school districts in Texas. Specifically, we examine whether the Cobb–Douglas and translog specifications commonly employed in studies of education production are appropriate characterizations. Our tests reject the hypotheses that either the Cobb–Douglas or the translog specification is an adequate approximation to the general monotone and concave production function for the Texas school districts.