Reflecting on contemporary accounting : teaching and learning social and critical perspectives

This paper provides a case description and analysis of an effort to enact accounting education change. The study reports on an attempt to renew the social and ethical worth of accounting education and practice in the post-Enron context of increased interest in how accounting may contribute to social responsibility and sustainability. The paper considers the organisation, aims, and content of a newly-developed unit on social and critical perspectives on accounting, and key elements of the pedagogy utilised. These include team teaching, the employment of research literature rather than a prescribed textbook, an expanded conception of accounting and accounting “knowledge”, the adoption of educational goals that encompass preparing students for economic and social life and for democratic participation, and a view that sees ethics, the environment, and society as central to accounting. It is concluded that accounting educational change must encompass the content and practice of classroom activity, but it also requires change to the self-consciousness of all actors involved. Explicit inclusion of the social, critical, environmental and ethical dimensions of accounting in our teaching and learning programs provides an avenue for academics to individually and collectively make a meaningful contribution.

Expanding the horizons of accounting education : incorporating social and critical perspectives

This paper examines a case of accounting education change in the context of increased interest in ethical, social, and environmental accountability, presenting a reflexive case study of a new university accounting subject incorporating social and critical perspectives. Foundational pedagogical principles and key aspects of curriculum are outlined. The pedagogy draws on the integration of humanistic and formative education (principally based on Gramscian and Freirean approaches) and deep and elaborative learning. Two key aspects of curriculum and pedagogy are analysed. First, a curriculum based on a broad conception of accounting and accountability as power-laden social processes, drawing on a range of research literature. Second, the adoption of an authentic, supportive, and collegial team teaching approach. Students’ feedback relating to identified issues is presented. The paper contributes to the renewal of the social and ethical worth of accounting education, concluding that deep accounting educational change encompasses both the content and practice of classroom activity and changes in the self-consciousness of staff and students.

Regulatory theory insights into the past, present and future of general purpose water accounting standard setting

Purpose – Accounting and water industry experts are developing general-purpose water accounting (GPWA) to report information about water and rights to water. The system has the potential to affect water policies, pricing and management, and investment and other decisions that are affected by GPWA report users' understanding of water risks faced by an entity. It may also affect financial returns to accounting and auditing firms and firms in water industries. In this paper the authors aim to examine the roles of the accounting profession, water industries and other stakeholders in governing GPWA. Recognising that the fate of GPWA depends partly upon regulatory power and economics, they seek to apply regulatory theories that explain financial accounting standards development to speculate about the national and international future of GPWA.

Design/methodology/approach – Official documents, internal Water Accounting Standards Board documents and unstructured interviews underpin the authors' analysis.

Findings – The authors speculate about the benefits that might accrue to various stakeholder groups from capturing the GPWA standard-setting process. They also suggest that internationally, water industries may dominate early GPWA standards development in the public interest and that regulatory capture by accounting or water industry professionals will not necessarily conflict with public interest benefits.

Practical implications – Accounting for water can affect allocations of environmental, economic, social and other resources; also, accounting and water industry professional standing and revenues. In this paper the authors identify factors influencing GPWA standards and standard-setting institutional arrangements, and thereby these resource allocations. The paper generates an awareness of GPWA's emergence and practical implications.

Originality/value – This is an early study to investigate water accounting standard-setting regulatory influences and their impact.

An empirical analysis of environmental strategy, eco-controls, environmental and economic performance

 This study provides empirical evidence on the role of eco-controls, in terms of both the style of use and bureaucratic stance towards eco-controls, as a critical mediating variable between an organisation’s level of proactive environmental strategy and its environmental and economic performance outcomes.

The influence of fiber diameter, fabric attributes and environmental conditions on wetness sensations of next-to-skin knitwear

This study investigated the relationships between the sensations of sweaty, damp, muggy and clingy, as assessed by human response from wearer trial garment assessment, and fiber type, fiber, yarn and fabric properties and instrumental fabric measurements of next-to-skin knitwear. Wearer trial assessment of 48 fabrics followed a strict 60 minute protocol including a range of environmental conditions and levels of exercise. Adjusted mean weighted scores were determined using linked garments. Instrumental fabric handle measurements were determined with the Wool HandleMeter (WHM) and Wool ComfortMeter. Data were analyzed using forward stepwise general linear modeling. Mean fiber diameter (MFD) affected the sweaty, damp, muggy and clingy sensation responses accounting for between 23.5% and 56.2% of the variance of these sensations. In all cases, finer fibers were associated with lower sensation scores (preferred). There were also effects of fiber type upon sweaty, muggy and clingy scores, with polyester fiber fabrics having higher scores (less preferred) compared with fabrics composed of wool, particularly for peak sweaty scores in hot and active environments. Attributes such as fabric density, yarn linear density, knitting structure and finishing treatments, but not fabric thickness, accounted for some further variance in these attributes once MFD had been taken into account. This is explained as finer fibers have a greater surface area for any given mass of fiber and so finer fibers can act as a more effective sink for moisture compared with coarser fibers. No fabric handle parameter or other attribute of fiber diameter distribution was significant in affecting these sensation scores.

2nd generation concrete construction: carbon footprint accounting

Purpose – Construction contractors and facility managers are being challenged to minimize the carbon footprint. Life cycle carbon‐equivalent (CO2‐e) accounting, whereby the potential emissions of greenhouse gases due to energy expenditure during construction and subsequent occupation of built infrastructure, generally ceases at the end of the service life. However, following demolition, recycling of demolition waste that becomes incorporated into 2nd generation construction is seldom considered within the management of the carbon footprint. This paper aims to focus on built concrete infrastructure, particularly the ability of recycled concrete to chemically react with airborne CO2, thereby significantly influencing CO2‐e estimates.

Design/methodology/approach – CO2‐e estimates were made in accordance with the methodology outlined in the Australian National Greenhouse Accounts (NGA) Factors and were based on the energy expended for each life cycle activity from audited records. Offsets to the CO2‐e estimates were based on the documented ability of concrete to chemically react with airborne carbon dioxide (“carbonation”) and predictions of CO2 uptake by concrete and recycled concrete was made using existing predictive diffusion models. The author's study focused on a built concrete bridge which was demolished and recycled at the end of the service life, and the recycled concrete was utilized towards 2nd generation construction. The sensitivity of CO2‐e and carbonation estimates were tested on several different types of source demolition waste as well as subsequent construction applications using recycled concrete (RCA). Whole‐of‐life CO2‐e estimates, including carbonation of RCA over the 1st and 2nd generations, were estimated and contrasted with conventional carbon footprints that end at the conclusion of the 1st generation.

Findings – Following demolition, CO2 capture by RCA is significant due to the more permeable nature of the crushed RCA compared with the original built infrastructure. RCA also has considerably greater exposed surface area, relative to volume, than a built concrete structure, and therefore more highly exposed surface to react with CO2: it therefore carbonates more comprehensively. CO2‐e estimates can be offset by as much as 55‐65 per cent when including the contribution of carbonation of RCA built within 2nd generation infrastructure. Further offsets are achievable using blended fly ash or slag cement binders; however, this study has focused on concrete composed of 100 per cent OPC binders and the effects of RCA.

Originality/value – Construction project estimates of life cycle CO2‐e emissions should include 2nd generation applications that follow the demolition of the 1st generation infrastructure. Life cycle estimates generally end at the time of demolition. However, by incorporating the recycled concrete demolition waste into the construction of 2nd generation infrastructure, the estimated CO2‐e is significantly offset during the 2nd generation life cycle by chemical uptake of CO2 (carbonation). This paper provides an approach towards inclusion of 2nd generation construction applications into whole‐of‐life estimates of CO2‐e.

SMEs in the environmental goods and services market: identifying areas of opportunity, policies and instruments: case studies: Argentina, Chile, Colombia and Mexico

Includes bibliography

Energetic-environmental assessment of a scenario for Brazilian cellulosic ethanol

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling

Analyses of ecological data should account for the uncertainty in the process(es) that generated the data. However, accounting for these uncertainties is a difficult task, since ecology is known for its complexity. Measurement and/or process errors are often the only sources of uncertainty modeled when addressing complex ecological problems, yet analyses should also account for uncertainty in sampling design, in model specification, in parameters governing the specified model, and in initial and boundary conditions. Only then can we be confident in the scientific inferences and forecasts made from an analysis. Probability and statistics provide a framework that accounts for multiple sources of uncertainty. Given the complexities of ecological studies, the hierarchical statistical model is an invaluable tool. This approach is not new in ecology, and there are many examples (both Bayesian and non-Bayesian) in the literature illustrating the benefits of this approach. In this article, we provide a baseline for concepts, notation, and methods, from which discussion on hierarchical statistical modeling in ecology can proceed. We have also planted some seeds for discussion and tried to show where the practical difficulties lie. Our thesis is that hierarchical statistical modeling is a powerful way of approaching ecological analysis in the presence of inevitable but quantifiable uncertainties, even if practical issues sometimes require pragmatic compromises.

Masking environmental feedback : Misfits between institutions and ecosystems in Belize and Thailand

The thesis analyses relationships between ecological and social systems in the context of coastal ecosystems. It examines human impacts from resource extraction and addresses management and governance behind resource exploitation. The main premises are that a lack of ecological knowledge leads to poor ecosystem management and that the dichotomy between social and natural systems is an artificial one. The thesis illustrates the importance of basing resource management on the ecological conditions of the resource and its ecosystem. It also demonstrates the necessity of accounting for the human dimension in ecosystem management and the challenges of organising human actions for sustainable use of ecosystem services in the face of economic incentives that push users towards short-term extraction. Many Caribbean coral reefs have undergone a shift from coral to macroalgal domination. An experiment on Glovers Reef Atoll in Belize manually cleared patch reefs in a no-take zone and a fished zone (Papers I and II). The study hypothesised that overfishing has reduced herbivorous fish populations that control macroalgae growth. Overall, management had no significant effect on fish abundance and the impacts of the algal reduction were short-lived. This illustrated that the benefits of setting aside marine reserves in impacted environments should not be taken for granted. Papers III and IV studied the development of the lobster and conch fisheries in Belize, and the shrimp farming industry in Thailand respectively. These studies found that environmental feedback can be masked to give the impression of resource abundance through sequential exploitation. In both cases inadequate property rights contributed to this unsustainable resource use. The final paper (V) compared the responses to changes in the resource by the lobster fisheries in Belize and Maine in terms of institutions, organisations and their role in management. In contrast to Maine’s, the Belize system seems to lack social mechanisms for responding effectively to environmental feedback. The results illustrate the importance of organisational and institutional diversity that incorporate ecological knowledge, respond to ecosystem feedback and provide a social context for learning from and adapting to change.

Accounting for warping and differential drying shrinkage mechanisms in the design of jointed plain concrete payments

When a concrete slab experiences differential volume change due to temperature, moisture, and shrinkage gradients, it deforms. The stresses induced by these differential volume changes can reduce the pavement’s fatigue life. Differential volume change is quantified by the equivalent temperature difference required to deform a comparable flat slab to the same shape as the actual slab. This thesis presents models to predict the equivalent temperature difference due to moisture warping and differential drying shrinkage. Moisture warping occurs because a portion of drying shrinkage is reversible, while differential drying shrinkage is due to the irreversible portion of drying shrinkage. The amount of reversible shrinkage was investigated for concretes made with different types of aggregate, including lightweight and recycled. Another source of differential volume change is built-in curl, which is caused by temperature gradients at the time of paving. This thesis also presents a comparison of methods used to quantify built-in curl.

Environmental characteristics and gas composition of Lost Hammer, Canadian Arctic

We report the first microbiological characterization of a terrestrial methane seep in a cryo-environment in the form of an Arctic hypersaline (~24% salinity), subzero (-5 C), perennial spring, arising through thick permafrost in an area with an average annual air temperature of -15 C. Bacterial and archaeal 16S rRNA gene clone libraries indicated a relatively low diversity of phylotypes within the spring sediment (Shannon index values of 1.65 and 1.39, respectively). Bacterial phylotypes were related to microorganisms such as Loktanella, Gillisia, Halomonas and Marinobacter spp. previously recovered from cold, saline habitats. A proportion of the bacterial phylotypes were cultured, including Marinobacter and Halomonas, with all isolates capable of growth at the in situ temperature (-5 C). Archaeal phylotypes were related to signatures from hypersaline deep-sea methane-seep sediments and were dominated by the anaerobic methane group 1a (ANME-1a) clade of anaerobic methane oxidizing archaea. CARD-FISH analyses indicated that cells within the spring sediment consisted of ~84.0% bacterial and 3.8% archaeal cells with ANME-1 cells accounting for most of the archaeal cells. The major gas discharging from the spring was methane (~50%) with the low CH4/C2 + ratio and hydrogen and carbon isotope signatures consistent with a thermogenic origin of the methane. Overall, this hypersaline, subzero environment supports a viable microbial community capable of activity at in situ temperature and where methane may behave as an energy and carbon source for sustaining anaerobic oxidation of methane-based microbial metabolism. This site also provides a model of how a methane seep can form in a cryo-environment as well as a mechanism for the hypothesized Martian methane plumes.

Consumption-based accounting of U.S. CO2 emissions from 1990 to 2010

To tackle global climate change, it is desirable to reduce CO2 emissions associated with household consumption in particular in developed countries, which tend to have much higher per capita household carbon footprints than less developed countries. Our results show that carbon intensity of different consumption categories in the U.S. varies significantly. The carbon footprint tends to increase with increasing income but at a decreasing rate due to additional income being spent on less carbon intensive consumption items. This general tendency is frequently compensated by higher frequency of international trips and higher housing related carbon emissions (larger houses and more space for consumption items). Our results also show that more than 30% of CO2 emissions associated with household consumption in the U.S. occur outside of the U.S. Given these facts, the design of carbon mitigation policies should take changing household consumption patterns and international trade into account.

Electricity price forecasting accounting for renewable energies: optimal combined forecasts

Electricity price forecasting is an interesting problem for all the agents involved in electricity market operation. For instance, every profit maximisation strategy is based on the computation of accurate one-day-ahead forecasts, which is why electricity price forecasting has been a growing field of research in recent years. In addition, the increasing concern about environmental issues has led to a high penetration of renewable energies, particularly wind. In some European countries such as Spain, Germany and Denmark, renewable energy is having a deep impact on the local power markets. In this paper, we propose an optimal model from the perspective of forecasting accuracy, and it consists of a combination of several univariate and multivariate time series methods that account for the amount of energy produced with clean energies, particularly wind and hydro, which are the most relevant renewable energy sources in the Iberian Market. This market is used to illustrate the proposed methodology, as it is one of those markets in which wind power production is more relevant in terms of its percentage of the total demand, but of course our method can be applied to any other liberalised power market. As far as our contribution is concerned, first, the methodology proposed by García-Martos et al(2007 and 2012) is generalised twofold: we allow the incorporation of wind power production and hydro reservoirs, and we do not impose the restriction of using the same model for 24h. A computational experiment and a Design of Experiments (DOE) are performed for this purpose. Then, for those hours in which there are two or more models without statistically significant differences in terms of their forecasting accuracy, a combination of forecasts is proposed by weighting the best models(according to the DOE) and minimising the Mean Absolute Percentage Error (MAPE). The MAPE is the most popular accuracy metric for comparing electricity price forecasting models. We construct the combi nation of forecasts by solving several nonlinear optimisation problems that allow computation of the optimal weights for building the combination of forecasts. The results are obtained by a large computational experiment that entails calculating out-of-sample forecasts for every hour in every day in the period from January 2007 to Decem ber 2009. In addition, to reinforce the value of our methodology, we compare our results with those that appear in recent published works in the field. This comparison shows the superiority of our methodology in terms of forecasting accuracy.

The Role of Environmental and Land Transaction Regulations on Agricultural Land Price: The example of Brittany. Factor Markets Working Document No. 52, June 2013

Using data from individual transactions for the period 1994-2010 in the French NUTS2 region Brittany, the authors investigated how environmental regulations and transaction land regulations influence the price of sold plots. Regressions on three sub-samples of buyers were performed in order to assess whether different buyers have different attitudes or plans regarding the farmland purchased: a sub-sample including only farmer-buyers, a sub-sample including non-farmer individual buyers, and a sub-sample including non-farmer non-individual buyers. Estimations were performed ignoring and accounting for spatial interactions (model SARAR). Results indicate that the price of land decreases when buyers are farmers, that the nitrate surplus area zoning increases the price of land, even more so for farmer-buyers. Regarding land transaction regulations, there is a negative effect, on land price, of the purchaser being the current tenant or being the land regulating public body SAFER. Estimating the model on different sub-samples depending on the buyers’ type shed light on the factors that are more important for each buyer.