Rural afforestation programmes for sustainable rural development: How realist conceptualisation can help

The role of conceptualisation in influencing the development process is the theme of this article, which demonstrates how poverty has forced rural households to exhaust their forestry resources at the expense of the long-term sustainable development of the broader communities concerned. The article stresses that the dilemma and contradictions of creating deforestation problems in order to develop can only be overcome by empowering the communities concerned to reverse the deforestation process through afforestation. Using a judicious blend of theory and empirical material, the article demonstrates that the realist method of rational abstraction has an important role to play in identifying the relevant variables that need to interact with the forestry sector to achieve sustainable development. The overall thrust of the article is that concrete development practices are intrinsically incomplete if not linked to a conception of sustainable development as a critical theory.     

Revisiting Error‐Autocorrelation Correction: Common Factor Restrictions and Granger Non‐Causality*

The paper questions the appropriateness of the practice known as ‘error‐autocorrelation correcting’ in linear regression, by showing that adopting an AR(1) error formulation is equivalent to assuming that the regressand does not Granger cause any of the regressors. This result is used to construct a new test for the common factor restrictions, as well as investigate – using Monte Carlo simulations – other potential sources of unreliability of inference resulting from this practice. The main conclusion is that when the Granger cause restriction is false, the ordinary least square and generalized least square estimators are biased and inconsistent, and using autocorrelation‐consistent standard errors does not improve the reliability of inference.     

MIS‐SPECIFICATION TESTING IN RETROSPECT

The primary objective of this paper is threefold. First, to undertake a retrospective view of Mis‐Specification (M‐S) testing, going back to the early 20th century, with a view to (i) place it in the broader context of modeling and inference and (ii) bring out some of its special features. Second, to call into question several widely used arguments undermining the importance of M‐S testing in favor of relying on weak probabilistic assumptions in conjunction with generic robustness claims and asymptotic inference. Third, to bring out the crucial role of M‐S testing in securing trustworthy inference results. This is achieved by extending/modifying Fisher's statistical framework with a view to draw a clear line between the modeling and the inference facets of statistical induction. The proposed framework untangles the statistical from the substantive (structural) model and focuses on how to secure the adequacy of the statistical model before probing for substantive adequacy. A case is made for using joint M‐S tests based on custom‐built auxiliary regressions with a view to enhance the effectiveness and reliability of probing for potential statistical misspecifications.     

It’s all about audit quality: Perspectives on strategic-systems auditing

We discuss the antecedents of and rationale for what has become known as Strategic-Systems Auditing (SSA). We also describe the conceptual foundation and key elements of SSA. We observe that the auditor employing SSA conceives the audit as a process of evidence-driven, belief-based, risk assessment. We also illustrate facets of this process, including how the auditor, by acquiring a rich understanding of how and how well management is executing its business-model, develops rich (e.g., distributional) expectations of future financial-statement amounts and disclosures. These expectations form a benchmark against which the auditor later compares and investigates management’s asserted financial-statement amounts and disclosures. Finally, we pose and respond to some of the more common questions about elements of SSA and complete the paper by suggesting some educational innovations and high-value targets for research.One salient message is that SSA first emerged in the 1990s as an attempt to enhance audit quality in response to changes in the audit environment. Another salient message is that SSA continues to equilibrate, adapting to more recent environmental changes, especially society’s demand for greater protection from financial-statement fraud. Such adaptation requires ongoing, significant intellectual investments by audit practitioners and audit scholars/educators.     

ACCOUNTING FOR BUSINESS INCOME UNDER INFLATION: CURRENT ISSUES AND VIEWS IN THE UNITED STATES*

To adjust business accounting for inflation, one current proposal is to convert all dollar figures in existing financial statements to units of fixed general purchasing power. A widely offered alternative is to retain the dollar units but replace the historical-cost figures by current values. The two alternatives would yield very different results. After reviewing these and variant proposals, the analysis concentrates on certain major issues: the unit of measurement; the treatment of capital gains; the concept of capital maintenance; and the treatment of changes in the purchasing power of debt. Current value accounting would not correct for changes in the general price level and would involve far more difficult problems of concept and measurement than general purchasing power accounting. The latter is therefore preferable.