Audit Firm Tenure and Audit Quality in a Constrained Market

We examine the relation between audit quality and audit firm tenure in the Iranian audit market, which is constrained by government policies that create intense competition for clients among many small audit firms. We develop arguments that these circumstances create cost pressures that entrench low audit quality and render auditors' plans more predictable to managers wishing to misstate their accounts. Using publicly available data for the audits of listed companies in Iran prior to mandatory audit firm rotation and the incidence of misstated financial reports identified by the Iranian Association of Certified Public Accountants Inspection Office, we find that the likelihood of a misstatement is lowest in the first two years of audit firm tenure. We also find that the likelihood of misstatement is not associated with the year preceding a mandatory audit firm rotation, suggesting outgoing auditor effort is not sensitive to the prospect of subsequent revelations of deficiencies. Although our results from a pre-mandatory rotation period show that frequent rotations appear to improve the financial reporting quality in our sample, we are wary of interpreting these results as support for the mandatory audit firm rotation policy in Iran. Rather, we suggest this is a peculiar consequence of deficiencies in audit quality inherent in the Iranian market.     

Dynamic lot sizing problem with continuous-time Markovian production cost

This paper develops a polynomial algorithm for obtaining dynamic economic lot sizes in a single product multiperiod production system with the objective of minimizing total production and inventory costs over T periods. It is assumed that production costs are linear, inventory costs are concave, setup costs are zero and backlogging is not permitted in all periods. Moreover, the unit production cost is a stochastic variable, which is evolved according to a continuous-time Markov process over the planning horizon. The model is formulated as a stochastic dynamic programming (DP) optimization with the state variable being unit production cost. Then, it is solved using the backward dynamic programming approach. To justify the application of the proposed model, two practical cases are presented.     

Impact of Financial Development on the Environmental Quality in Iran

In recent decades, undesirable environmental changes, such as global warming and greenhouse gases emission, have raised worldwide concerns. In order to achieve higher growth rate, environmental problems emerged from economic activities have turned into a controversial issue. The aim of this study is to investigate the effect of financial development on environmental quality in Iran. For this purpose, the statistical data over the period from 1970 to 2011 were used. Also by using the Auto Regression Model Distributed Lag （ARDL）, short-term and long-term relationships among the variables of model were estimated and analyzed. The results show that financial development accelerates the degradation of the environment; however, the increase in trade openness reduces the damage to environment in Iran. Error correction coefficient shows that in each period, 53% of imbalances would be justified and will approach their long-run procedure. Structural stability tests show that the estimated coefficients were stable over the period.     

FOREIGN DIRECT INVESTMENT,NON‐TRADED GOODS AND REAL WAGES

Using a three‐sector general equilibrium model with non‐traded goods, we investigate the impact of foreign direct investment on the real wages of skilled and unskilled workers. We show that foreign direct investment increases the real wages of skilled and unskilled workers alike, but widens the gap between the two under plausible conditions.     

UNIFORM TECHNICAL PROGRESS: CAN IT BE HARMFUL?

Abstract.  In a model incorporating trade in final goods, intermediate goods and capital, we show how 'uniform' technical progress across sectors can lead to immiserization. The condition for immiserizing technical progress crucially depends on the pattern of specialization. Our results tend to hold in a more general specification of the basic structure.     

What Drives TBL Reporting: Good Governance or Threat to Legitimacy?

This paper provides two complementary explanations for the adoption of triple bottom line (TBL) reporting by Australian companies. The first explanation is that companies adopt TBL reporting to legitimise their relationship with society because of adverse publicity from the media. The second explanation is that TBL reporting is adopted because of the company's desire to achieve high‐quality reporting and transparency inferred by strong corporate governance. Companies with TBL reporting had significantly more adverse media coverage before implementing TBL reporting than non‐TBL companies. TBL reporting is also significantly and positively related to the existence of an environmental or sustainable development committee and the frequency of meetings of the audit committee.     

A measure of regional influence with the analytic network process

The metropolitan region is commonly defined by a socio-spatial network of urban nodes that are linked in territory and function. Such a network is differentiated by size and dominance of the linked nodes, characterized by physical or virtual flows of a wide-ranging variety. The analytic network process (ANP) is a multi-criteria analytic method that measures the influence or dominance of the nodes in a network with feedback. We illustrate how ANP determines county rank as a measure of influence in a metropolitan statistical area (MSA) defined by its interrelated socio-economic and spatial elements qualitatively and quantitatively. We compare the ANP results to similar measures of regional influence in the literature.     

A study on motivation differences among traditional festival visitors based on demographic characteristics,case study: Gol-Ghaltan festival,Iran

Villages and cities have a growing tendency to share their culture and nature with tourists by developing events. This article aims to identify motivational factors influencing visitors' attendance in traditional festivals and then analyzing significant motivation differences among visitors based on their demographic differences. The statistical sample is domestic tourists who visited the 8th Gol-Ghaltan Festival, Iran in 2015. The convenience sampling method has been used and 287 acceptable questionnaires were acquired. Factor analysis has determined six important motivational factors, including “Gol-Ghaltan and Family,” “Cultural Exploration,” “Socialization,” “Supporting Local Community and Heritage,” “Event Novelty,” and “Escape.” Most of these factors are coinciding with previous literature on cultural events except first and fourth factors. Results of T-test and ANOVA show that visitors in various demographic groups have significant differences in the motivational factors. Finally, in accordance with the findings of the research, practical suggestions are presented for managers and marketers of this event.