A journey towards a safe harbour: The rhetorical process of the International Integrated Reporting Council

This paper investigates the rhetoric deployed by the International Integrated Reporting Council (IIRC) to legitimise itself and Integrated Reporting (<IR>) and establish its ideology. We draw on Aristotle's rhetorical appeals – ethos, logos, and pathos – and the rhetorical theory of diffusion to conduct a rhetorical analysis of the IIRC's initial documents. Our findings demonstrate how the IIRC's rhetorical strategies serve to: authorise and moralise the IIRC's actions through ethos and pathos; contrast certain social interests and privilege a capitalist ideology through logos; and establish and maintain the IIRC's authority in a way that reflects the interests of the financial community and investors, again, through ethos. We demonstrate how the IIRC has strategically used rhetoric to gain support and develop its authority by contrasting and resisting competing ideological pressures. We also show how a capitalist ideology emerged from this struggle as the shaping force behind <IR> at the cost of marginalising wider social interests. Examining the IIRC's rhetorical process contributes to understanding the ideological struggle surrounding <IR> and enriches our empirical understanding of the ideological turn of rhetorical strategies. Our study contributes to theory and practice by advancing knowledge on the rhetorical strategies that shape and establish dominant ideologies in accounting practice.     

Spatial Spillovers on Input‐specific Inefficiency of Dutch Arable Farms

Traditional benchmarking implicitly assumes that decision making units operate in isolation from their peers. For arable production systems in particular, this assumption is unlikely to hold in reality. This paper quantifies spatial spillovers on input‐specific inefficiency using data envelopment analysis and a second‐stage bootstrap truncated regression model. The bootstrap algorithm is extended to allow for the estimation of the parameter of the spatial weight matrix, which captures the proximity between producers. The empirical application concerns Dutch arable farms for which latitudes and longitudes are available. The average inefficiency across years was 3.87% for productive inputs and 2.98% for damage abatement inputs under variable returns to scale. For productive inputs technical inefficiency, statistically significant spillover effects from neighbours’ age and their degree of specialisation depended on the type of the spatial weight matrix used (inverse distance or k‐nearest neighbours). Statistically significant spillover effects of subsidy payments were adverse while statistically significant spillover effects from insurance payments were beneficial. For damage abatement inputs technical inefficiency, statistically significant adverse effects were found for neighbours’ age and subsidy payments and beneficial effects from neighbours’ insurance payments and their degree of specialisation.     

Technological progress in the Brazilian agriculture

We analyze technical progress in the Brazilian agriculture in the period 1976–2016. Output is production value and inputs are expenses on land, labor, and other inputs. Data Envelopment Analysis (DEA) measures are used to capture technological progress via efficiency analysis. Filtering the data with a moving average and fractional regression we identify four periods with distinct behavior of technical efficiency under constant or decreasing returns to scale. From 1976 to 1988 and from 1996 to 2007 technical efficiency decreases at statistically significant rates of −1.74% and −0.26% respectively. From 1989 to 1995 and from 2008 to 2016 efficiency increases at statistically significant rates of 1.53% and 1.75% respectively. Efficiency of input use varies in these periods and is computed as a byproduct of the DEA analysis. We observe a more efficient usage of land and other inputs. A parametric fit using adjusted efficient inputs indicate the relative elasticities of 40.5%, 38.5% and 21.0% for other inputs, land and labor, respectively. Technological progress increases 3.73% in the period 1976–1988, decreases 1,58% between 1989 and 1995, increases 0.17% in the period 1996–2007 and increases 1.01% between 2008 and 2016. Technological inputs are statistically significantly influential on total factor productivity as indicated by an infinite distributed lag model. The long run elasticity effect is 39.5%. The effect of investments (public) in agricultural research has a significant elasticity of 0.835.     

三重底线报告——政府财务报告未来的发展方向

三重底线报告是计量、管理和报告主体社会、经济和环境业绩的框架.在梳理三重底线报告理论的基础上,通过分析传统财务报告的缺陷,认为应该通过扩展传统的财务报告,考虑政府这个契约耦合中的各节点的利益相关者的利益,引入三重底线报告,将业绩评价与主体的价值观、战略、伦理等进行整合,并提出了重构政府财务报告的一些思路和面临的挑战.     

A half-century of Accounting and Business Research: the impact on the study of international financial reporting

This paper celebrates the contribution of this journal, over its first 50 years, to research on international financial reporting, defined as comprising writings on comparative or harmonisation topics. The paper examines the journal’s output in that field and how it contributed to the field’s development. Even though the journal was sympathetic to international financial reporting, less than 1% of output in its first decade (the 1970s) related to it. In its first 35 years, a large proportion of the journal’s limited output in the field was produced by two small groups of researchers. However, during its fourth decade, the field gradually became dominant as the accounting world changed. By then, the journal had already published the seminal papers on several central topics in international financial reporting, including measuring harmonisation, using reconciliations to measure international accounting differences, assessing international differences in the influence of tax on financial reporting, and measuring international difference in the application of international standards. These topics were later taken up by many researchers in several other journals.     

Learning multi-market microstructure from order book data

In this paper, we investigate market behaviors at high-frequency using neural networks trained with order book data. Experiments are done intensively with 110 asset pairs covering 97% of spot-futures pairs in the Korea Exchange. An efficient training scheme that improves the performance and training stability is suggested, and using the proposed scheme, the lead–lag relationship between spot and futures markets are measured by comparing the performance gains of each market data set for predicting the other. In addition, the gradients of the trained model are analyzed to understand some important market features that neural networks learn through training, revealing characteristics of the market microstructure. Our results show that highly complex neural network models can successfully learn market features such as order imbalance, spread-volatility correlation, and mean reversion.     

Corporate sustainability reporting: An innovative tool for the greater good of all

Most publicly traded companies issue sustainability reports—also known as corporate social responsibility reports—that contain an extraordinary amount of multidimensional (e.g., environment, human rights, labor practices and decent work, product responsibility, society) longitudinal quantitative and qualitative data that is available to the public. Unfortunately, corporate social responsibility (CSR) reports are vastly underutilized due to perceived complexity. This article explains the Sustainability Performance Assessment (SPA) System, a teaching and mentoring tool for assessing CSR report information. Students reported a deeper understanding of sustainability as an overall concept, sustainability from a business perspective, and multifaceted sustainability performance information presented in CSR reports. The real world research-focused SPA tool transforms sustainability from a philosophical and abstract concept to something of tangible value in everyday life for consumers, employees, and international stakeholders.     

Assessing the experiential value of heritage assets: A case study of a Chinese heritage precinct,Bendigo, Australia

Destination managers often wish to utilise heritage assets to create memorable visitor experiences, yet there is a paucity of research aimed at understanding how these experiences might be perceived and valued for tourism purposes. This article uses a cultural tourism potential audit tool to evaluate the experiential value of a collection of Chinese heritage assets in the regional city of Bendigo, Australia. The tool was expanded to include analysis of the type of experience, categorising them as either peak or supporting. Findings suggest that some of the heritage assets had high or moderate experiential value, with a few forming the basis of peak tourist experiences. Other heritage assets, whilst high in experiential value, are best conceptualised as supporting experiences. Through the aegis of a heritage precinct, both types of experience may collectively attract tourists, provided they are integrated with a meaningful and appealing narrative.     

Group audits: Are audit quality and price associated with the Lead auditor’s decision to accept responsibility?

Lead auditors frequently rely on work performed by Other auditors, especially when auditing clients with operations in multiple countries. The PCAOB has expressed concern that the quality of such group audits may differ depending on whether the Lead auditor accepts or declines responsibility for work done by Other auditors. The PCAOB also has been concerned with the venue through which Lead auditors and Other auditors disclose their participation in group audits, including disclosure of whether Lead auditors accept or decline responsibility. To investigate these issues, we employ a sample consisting entirely of group audit engagements. We identify Lead auditors taking responsibility from PCAOB Form 2, filed by Other auditors of U.S. registrants for fiscal years 2009 to 2017. We identify Lead auditors not accepting responsibility from audit report disclosures during the same period. The results suggest that Lead auditors accepting responsibility charge higher audit fees but provide audits of no higher quality, and possibly of even lower quality. These results are robust to various additional analyses. Our research contributes to the ongoing debate over how the participation of Other auditors affects audit quality.     

The Forewarning Effect of Critical Audit Matter Disclosures Involving Measurement Uncertainty*

We present experimental evidence suggesting that critical audit matter (CAM) disclosures in the auditor's report involving areas of high measurement uncertainty forewarn users of misstatement risk. Specifically, in our first study with MBA students, financial analysts, and attorneys, we find that CAMs (i) lower premisstatement assessments of confidence in the financial statement area disclosed as a CAM, and (ii) lower assessments of auditor responsibility for a subsequently revealed misstatement in a CAM-related area. In our second study with student participants proxying as mock jurors, we find that the responsibility-mitigating effect of CAM disclosure is driven by CAM disclosures involving measurement uncertainty, as opposed to CAM disclosures involving categorical determinations. Combined, our findings help reconcile mixed evidence from prior research, supporting the view that the forewarning effect of CAM disclosures involving measurement uncertainty could mitigate perceived auditor responsibility for CAM-related material misstatements.