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Environmental Management Accounting (EMA) is increasingly recognised as a distinguished tool of environmental management. It helps to integrate a company's environmental and business interests, whereby enhancing corporate eco-efficiency in terms of reducing environmental costs or making one's product more competitive.

This book gives a comprehensive coverage of the state of the art. It presents a number of EMA frameworks that companies can take as a basis for implementing their own specific EMA structures. Besides discussing environmental accounting issues within...

Environmental Management Accounting (EMA) is increasingly recognised as a distinguished tool of environmental management. It helps to integrate a company's environmental and business interests, whereby enhancing corporate eco-efficiency in terms of reducing environmental costs or making one's product more competitive.

This book gives a comprehensive coverage of the state of the art. It presents a number of EMA frameworks that companies can take as a basis for implementing their own specific EMA structures. Besides discussing environmental accounting issues within...

In 2010, an outbreak of whooping cough in California infected more than 8,000 people, resulting in the hospitalization of more than 800 people and the death of 10 infants. In 2015, an outbreak of the measles in Disneyland infected more than 125 people. Both the whooping cough and the measles are vaccine-preventable diseases (VPDs) that have been largely nonexistent in the United States for decades. As these cases demonstrate, individuals who prioritize ideology or personal beliefs above scientific consensus can impinge on society at large--and they illustrate how rejecting science has...

This book presents modern developments in time series econometrics that are applied to macroeconomic and financial time series, bridging the gap between methods and realistic applications. It presents the most important approaches to the analysis of time series, which may be stationary or nonstationary. Modelling and forecasting univariate time series is the starting point. For multiple stationary time series, Granger causality tests and vector autogressive models are presented. As the modelling of nonstationary uni- or multivariate time series is most important for real applied work, unit...