Evidence of Industry Scale Effects on Audit Hours,Billing Rates,and Pricing

Using a proprietary data set consisting of all private firm audit engagements in 2000 from one Big 4 firm in Belgium, we investigate (i) whether audit office industry scale is associated with a reduction of total, partner, and staff audit hours and thus with efficiency gains triggered by organizational learning from servicing more clients in an industry and (ii) whether the extent of efficiency pass‐on from the auditor to its clients depends on the audit firm's market power. We find that auditor office industry scale is associated with efficiency gains and a reduction of the variable costs (i.e., fewer total audit hours, partner hours, and staff hours), ceteris paribus. Our results also suggest that, on average, realized efficiencies are entirely passed on, as evidenced by a nonsignificant effect of auditor industry scale on the auditor's billing rate. Furthermore, we find that the extent of the efficiency pass‐on decreases with the market power of the audit firm in the industry market segment as we document a higher billing rate for auditors with high market power (versus low market power). In addition, we find that the lower audit hours associated with auditor industry scale do not compromise audit quality.     

An empirical test of spatial competition in the audit market

This study empirically examines the effects of competition through differentiation on audit pricing. Based on prior economic theory on differentiated-product markets (e.g., Hotelling, 1929, Tirole, 1988), we hypothesize that audit fees are affected by an auditor's relative location in a market segment. We define audit markets per industry segment and U.S. Metropolitan Statistical Area and specify an auditor's industry location relative to the client (auditor–client industry alignment) and relative to the closest competitor (industry market share distance to closest competitor). We find that audit fees increase in both auditor–client industry alignment and industry market share distance to the closest competitor.     

Supply chain relationships: Exploring the linkage between inter-organisational adaptation and learning

This paper aims to advance the process dimension of inter-organisational adaptation that takes places in supply chain relationships, building upon learning literature. Therefore, it summarizes and disentangles the different debates on inter-organisational adaptation and learning in the literature and establishes the theoretical linkage between both concepts. Two dyadic case studies show that the learning processes that underlie inter-organisational adaptations may be comprehensively classified based upon the direction of learning, resulting in “learning from” versus “learning with”, and based upon the span of learning, resulting in “incidental learning” versus “incremental learning”. The experiential nature of learning provides an explanation for the reinforcing character of inter-organisational adaptation, which is an alternative to the explanations presented in literature on supply chain relationships.     

Optimal migration policies: an analytical approach. Part I

This paper explores the analytical features of population distribution or human settlement policies. It proposes a methodology for quantitative policy analysis and policy design based on optimal control and system theory. The paper consists of two parts. This part shows how policy models may be derived from demographic and demoeconomic or demometric models by adding a new dimension: the goals-means relationship of population distribution policy. It examines a large class of relevant policy models and demonstrates their relationship to the original Tinbergen Theory of Policy, which provides a paradigm for static and dynamic policy analysis. Problems of existence and of design of optimal population distribution policies are studied analytically. In designing optimal policies, use may be made of the minimizing properties of generalized inverses.     

The effect of strategic and operating turnaround initiatives on audit reporting for distressed companies

Empirical research on the effect of turnaround initiatives on audit reporting is scant. This paper addresses this gap by examining audit reporting for distressed companies and its association with a broad array of strategic and operating turnaround initiatives. In particular, we study the association between business risk information and going-concern decisions for distressed clients. Using a sample of distressed firms in the US manufacturing industry, we find that both short-term cash flow potential as well as strategic growth and hence long-term cash flow potential are necessary for strategic turnaround initiatives to have a mitigating impact on the auditor’s going-concern decision. Strategic turnaround initiatives for which only one of these two conditions holds and operating turnaround initiatives appear to function as going-concern risk factors as they are associated with a higher likelihood that a going-concern opinion will be issued. We also find that specialist and non-specialist auditors assess the mitigating potential of some but not all turnaround initiatives differently. Overall, our results suggest that auditors’ strategic risk assessment (typically done in a business risk auditing context) is associated with the outcome of the audit process (the opinion).     

Oscillating between a relationship-based and a market-based model: The Salim Group

As institutional transitions in emerging economies intensify, the basis for competition is theorised to move from relationship-based to market-based. An in-depth analysis of the strategy of the Salim Group, one of the largest ethnic Chinese conglomerates in the Asia-Pacific region, supports the view that the strategy of this conglomerate can be understood as moving between the extremes of crony capitalism (the relationship-based model) and the existing Western norms for multinational business (the market-based model). Both models are essential for its success, but the former, relationship-based model seems more important in early times and the latter, market-based model becomes more significant during recent institutional changes. We also find evidence that the strategic movement between those extremes takes the form of irregular oscillatory dynamics.

European Structural Indicators,A Way Forward

At the 2000 Lisbon summit, the European Union formulated the ambition to transform itself into "the most competitive and dynamic knowledge-based economy in the world capable of sustainable economic growth with more and better jobs and greater social cohesion'. It is remarkable that, until recently, European statisticians were hardly involved in the design of a statistical information system and related "structural' indicators for this important policy purpose. Instead, indicators have been designed that do not measure what they intend to measure, are based on incomparable data and give the impression of a fairly incoherent shopping list of numbers without an underlying vision on the use of these numbers in policy making. This paper argues that indicators can best be based on a coherent accounting system, such as the national accounts, and that the SESAME- system, which is an extension of national accounts and so-called Social Accounting Matrices, offers promising perspectives in this regard.