Extinction accounting and accountability: Empirical evidence from the west European tissue industry

Recently, human activities are more and more invasive with respect to biodiversity. Several studies highlighted the key role played by accountants in contributing to the development of tools able to support company in assessing, reporting, and disseminating, as well as accomplishing, the preservation of natural species and ecosystems (King and Atkins, 2016). Corporate reporting of environmental information might increase the credibility of forest certifications, given that some scholars argued that certified forests are not often run, in a sustainable way. Moreover, certifications sometimes cover harmful forest practices (Elad, 2014) and do not ensure a good quality of environmental reporting and performance. The research question therefore intends to explore how extinction accounting and accountability (EAA) is able to reflect ex post the company's business strategy and, at the same time, influence ex ante its formulation by easing the prevention of deforestation risk and addressing the issue of credibility through specific actions. In more detail, the “Emancipatory Framework for Extinction Accounting and Accountability” (EFEAA) (Atkins and Maroun, 2018) was tested using content and interpretative analyses based on the reports inherent to top four companies working in West Europe in the tissue industry, where the preservation of forest heritage is a “compulsory route” for assuring the business sustainability, in terms of both raw material renewal and brand reputation. The findings highlighted the first attempt to carry out a qualitative research over the management of forest issues. In our study, companies tend to report advantages arising from the use of forest, but this kind of disclosure is too generic without providing evidence over the ecosystem services forests produce. Moreover, firm size affects the quantity and the quality of disclosure. At last, managerial implications and future research avenues are outlined and discussed.     

Perceptions of poverty attributions in Europe: a multilevel mixture model approach

The perception of the causes of poverty has long been recognized as a very important factor in the broader study of this social phenomenon. This study covers 15 European Union countries and considers three types of poverty attributions: individualistic, societal, and fatalistic. The individualistic view perception believes the poor are responsible for their situation, the societal perspective blames society for poverty and the fatalistic view considers poverty to be the result of bad luck or fate. A multilevel mixture model with three clusters of countries and six clusters of individuals was identified. Despite the generalization of the social explanations of poverty at the individual or micro level, there are also groups that emphasize more individualistic explanations, blaming the poor for their condition. At the country or macro level, the most developed cluster believes in the individualistic and fatalistic causes of poverty, whereas the least developed clusters explain poverty based on the injustices of society. There is diversity in the way these countries perceive poverty.     

Using templates and linguistic patterns to define process performance indicators

Process performance management (PPM) aims at measuring, monitoring and analysing the performance of business processes (BPs), in order to check the achievement of strategic and operational goals and to support decision-making for their optimisation. PPM is based on process performance indicators (PPIs), so having an appropriate definition of them is crucial. One of the main problems of PPIs definition is to express them in an unambiguous, complete, understandable, traceable and verifiable manner. In practice, PPIs are defined informally – usually in ad hoc, natural language, with its well-known problems – or they are defined from an implementation perspective, hardly understandable to non-technical people. In order to solve this problem, in this article we propose a novel approach to improve the definition of PPIs using templates and linguistic patterns. This approach promotes reuse, reduces both ambiguities and missing information, is understandable to all stakeholders and maintains traceability with the process model. Furthermore, it enables the automated processing of PPI definitions by its straightforward translation into the PPINOT metamodel, allowing the gathering of the required information for their computation as well as the analysis of the relationships between them and with BP elements.     

Bridging the gap: How sustainable development can help companies create shareholder value and improve financial performance

This study examines the effect of integrating sustainability into corporate strategy on various aspects of shareholder value creation and financial performance in the British capital market. The employed method is based on the content analysis of corporate disclosures and a new technique for assessing the adoption of the corporate sustainability concept (embracing the environmental, social, and financial aspects of a company's policies at the same time). Using extensive data of FTSE 350 firms covering the years 2006–2012, 65 companies were selected as meeting corporate sustainability criteria. For the above period, we find that these firms were characterized by higher financial risk exposure, lower asset growth rates, lower BV/MV ratios, lower EVA ratios, and higher MVA ratios. Such relations were generally present among different size and industry groupings. The results support the thesis that firms that incorporate sustainability issues into their business operations are better able to leverage their resources toward stronger financial performance and shareholder value creation than other companies. The paper contributes to the literature by offering a more holistic approach to corporate sustainable performance measurement and shedding additional light on its relation to financial performance in the context of the recent global financial crisis and its direct aftermath.     

Interplay between ethanol and electric vehicles as low carbon mobility options for passengers in the municipality of São Paulo

The Brazilian cities as well as many of the large urban centers in the world continue to expand, increasing the demand for mobility and transport, while, at the same time, the same cities are investing in greenhouse gas (GHG) mitigation to avoid climate change. Brazil's urbanization rate increased from 26% in 1940 to almost 70% in 1980. During this period, the Brazilian population tripled and the urban population multiplied by seven. In 2010, the transport sector in São Paulo accounted for 71% of the total emissions released by the energy sector. Ethanol has been considered a fuel with less greenhouse gas emissions, when compared with fossil fuels. However, ethanol production would have to double to meet the expected demand. Electric vehicles (EVs) market is expanding around the world, and is also an option to reduce the transport emissions, if powered by clean electricity. To assess whether the adoption of EVs might bring more benefits than the current ethanol, we develop prospective scenarios supported by the Long-range Energy Alternatives Planning (LEAP) simulation tool, taking a bottom-up tank-to-wheel approach to consider the CO₂ emissions of car in São Paulo. The scenario considering a substitution of 25% of gasoline-powered cars by EV in 2030 showed a reduction in energy consumption and CO₂ emissions, around 15% and 26% respectively in that year in comparison with 2015. We discuss the interplay between ethanol and EV, also considering emission coefficients from life cycle analysis conducted in Brazil, and concluded EV will have higher positive impact on climate change mitigation than ethanol.     

Multilateral bargaining and Walrasian equilibrium

A class of bargaining games in which agents bargain over prices and maximum trading constraints is considered: It is proved that all the Stationary Subgame Perfect Equilibria of these games implement Walrasian allocations as the bargaining frictions vanish. The result holds for any number of agents and is robust to different specifications of the bargaining process.     

An Alternative Approach to the Measurement of Emotional Attachment

Emotional attachment (EA)—the emotional bond connecting an individual with a specific target—has been identified as an important construct within the marketing domain. Despite all the research, there is no consensus on how the construct should be measured. A major factor contributing to this confusion is that current definitions and, consequently, scales of EA focus on describing reactions toward specific referents of attachment rather than on capturing the extent of emotion an individual feels; hence, hindering construct validity. In this article, the authors scrutinized the concept validity of EA. After defining the construct, scale development procedures were followed to propose an alternative one‐dimensional scale that reflects the abstract nature of EA. Three studies support the scale's reliability as well as the discriminant, convergent, criterion, and nomological validity of the measure. The studies tested the scale under different marketing contexts. Moreover, by employing the new measure, the findings showed that EA and self‐concept maintenance (SCM) are related, yet different constructs. Specifically, the results showed that these constructs interact to predict willingness to pay (WTP) for a brand such that when SCM is low, WTP is predicted by EA. However, when self‐concept is high, the effect of EA on WTP is not that strong. This new scale will help researchers extend research on EA to a broader set of contexts, explore the relationship between EA and related constructs, develop nomological networks, and prevent the confounding of terms.     

The α-stable processes and their relationship with the exponent of self-similarity: Exchange rates of USA Dollar,Canadian Dollar,Euro and Yen

This research work analyzes the yields of the exchange rate parities of the American dollar, Canadian dollar, Euro, and Yen; estimates the basic statistics and the α-stables; carries out the Kolmogorov–Smirnov, Anderson–Darling, and Lilliefors goodness of fit tests; estimates the self-similar exponents and carries out the t and F tests, ruling out that the series of parities are multifractal. It also estimates the confidence intervals of the exchange rate parities and concludes that the estimated α-stable distributions are more efficient than the Gaussian distribution to quantify the risks of the market, and that the series are self-similar. Through the ? index, we can infer the risk of the events, indicating that the parities are anti-persistent and thus have short-term memory, mean reversion, and a negative correlation with the high risk in the short and medium term. The estimation and validation of the α-stable distributions and the self-similar exponent are important in the evaluation and creation of innovative investment instruments through financial engineering, risk administration, and the evaluation of derived products.