Tax planning,corporate governance and equity value

Tax planning by firms is a highly significant activity. After audit fees, tax related services are the largest source of fee income for UK accounting firms. When viewed in terms of its impact, tax planning is the major source of the corporation tax gap amongst large firms (HMRC, 2010). Although traditionally tax planning has been viewed as benefiting shareholders via increased after tax earnings, more recently the underlying motivation has been questioned. Desai and Dharmapala (2006) argue that when an information asymmetry exists between managers and shareholders with respect to tax planning, it can facilitate managers acting in their own interests resulting in a negative association between tax planning and firm value. Using a sample of UK quoted firms from 2005 to 2007 and data drawn from International Accounting Standard 12 Income Taxes (IASB, 2010) Effective Tax Rate (ETR) reconciliations, this paper reports such a negative relationship. Further, the relationship is robust to the inclusion of corporate governance measures which could be expected to moderate the potential implications of a tax related shareholder–manager information asymmetry. An innovation of this paper is in using the ETR reconciliations to examine sub-categories of tax planning activities. The paper contributes to the debate of who determines, and benefits from tax planning conducted by firms. Its findings have direct policy relevance for shareholders and tax administrations in monitoring and controlling firms’ tax planning activities.     

Random walk and breaking trend in financial series: An econometric critique of unit root tests

The present note sheds light on several pitfalls associated with unit root tests that are overlooked by a growing volume of literature in financial economics. Specifically, several studies have confused unit root tests with the Random Walk hypothesis. Unit root tests are not designed for such a task since they aim at investigating whether a time series is difference-stationary or trend-stationary and are not, therefore, predictability tests. Secondly, we emphasize some serious shortcomings associated with the widely used unit root test developed by Zivot and Andrews [Zivot, E. & Andrews, D.W.K. (1992). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business and Economic Statistics, 10, 251–270.]. In particular, we stress that results from the Zivot–Andrews test are sensitive to the methods employed to calculate the critical values and to select the maxim lag k. Furthermore, Zivot–Andrews test imposes a one time structural break in a time series; however recent studies showed that not counting for other true structural breaks may bias the results and may cause a spurious rejection of the unit root null hypothesis. Finally, we support our arguments by an empirical example based on the findings of Narayan and Smyth [Narayan, K.P. & Smyth, R. (2004). Is South Korea’s stock market efficient? Applied Economics Letters, 11, 707–710.] with regards to the efficiency of South Korean stock market. We show that contrary to what the authors claim, the KSE (KOSPI) price index is predictable, and hence the South Korean stock market is not informationally efficient.     

The day-of-the-week effect and conditional volatility: Sensitivity of error distributional assumptions

We test for reliable evidence of the day-of-the-week effect on both the mean and volatility for the S&P/TSX Canadian return index. Unlike previous studies, we permit several specifications for the error distribution — GARCH normal, Student's t, generalized error distribution, and double exponential distribution. Unlike other studies, we find that the day-of-the-week effect in both mean and conditional volatility is sensitive to the particular specification of the underlying distributions. We also find that using a regression analysis assuming a Student's t distribution is a better way to investigate this effect. Our evidence demonstrates the apparent fragility of previous empirical studies on calendar anomalies. Thus, our results serve as a warning that with financial data, the error distributional assumptions are critical to correctly identifying empirical regularities in the data.     

The intellectual structure of the strategic management field: an author co-citation analysis

This paper complements a recent study by Ramos-Rodriguez and Ruiz-Navarro (2004) that investigated the intellectual structure of the strategic management field through co-citation analysis. By using authors as the units of analysis and incorporating all the citations that are included in the Science Citation Index and the Social Science Citation Index, we trace the evolution of the intellectual structure of the strategic management field during the period 1980–2000. Using a variety of data analytic techniques such as multidimensional scaling, factor analysis, and Pathfinder analysis, we (1) delineate the subfields that constitute the intellectual structure of strategic management; (2) determine the relationships between the subfields; (3) identify authors who play a pivotal role in bridging two or more conceptual domains of research; and (4) graphically map the intellectual structure in two-dimensional space in order to visualize spatial distances between intellectual themes. The analysis provides insights about the influence of individual authors as well as changes in their influence over time. Copyright © 2007 John Wiley & Sons, Ltd.     

On the Measurement of Changes in Product Quality in Marginal Intra-Industry Trade

There is a long established thread of the international trade literature concerned with the measurement of intra-industry trade (IIT). Two distinct strands of the literature have developed: First, measures of marginal IIT that are concerned with the adjustment implications of volume-based changes in IIT; second, measures of vertical and horizontal IIT that are concerned with quality-based differences in IIT. This paper marries the two literatures to provide a new perspective on the smooth adjustment hypothesis debate and suggests the use of the marginal product quality index, a new measure of changes in quality in matched trade changes that complements dynamic measures of volume-based IIT. JEL no.  F19     

LIFETIMES OF MACHINERY AND EQUIPMENT: EVIDENCE FROM DUTCH MANUFACTURING

This paper estimates service lifetimes for capital assets in Dutch manufacturing industries, using information on asset retirement patterns. A Weibull distribution function is estimated using a non-linear regression technique to derive service lifetimes for three selected asset types: transport equipment, machinery and computers. For this purpose, benchmark capital stock surveys for different two-digit industries are linked to annual discard surveys. On average the estimated lifetimes are 6, 9 and 26 years for transport equipment, computers and machinery, respectively. However, these estimates vary across industries. A comparison of our estimates with Canadian, U.S. and Japanese estimates shows notable differences in the lifetimes of all the asset types, with machinery showing the largest difference.     

On the measurement of product quality in intra-industry trade: An empirical test for China

A relatively recent development in the intra-industry trade (IIT) literature is the measurement of the simultaneous import and export of quality-differentiated products, commonly known as vertical and horizontal IIT. A recent paper from Azhar and Elliott [Azhar, A. K. M. & Elliott, R. J. R. (2006), On the Measurement of Product Quality in Intra-Industry Trade, Review of World Economics, Vol 142 no 3, pp 476–495] analyses various approaches for disentangling vertical and horizontal IIT and suggests a complementary methodology. To investigate the robustness and sensitivity of the existing approaches we examine data on the nature of trade flows between China and its East Asian neighbours and show that in 2002 China tended to export low quality versions of its manufactured goods to Malaysia, Thailand and the Philippines.     

The impact of racial diversity on intermediate and long‐term performance: The moderating role of environmental context

We conduct a firm‐level, 6‐year longitudinal analysis on the impact that racial diversity in human resources has on financial performance. When considering short‐term performance outcomes, we predict a curvilinear relationship between diversity and performance (i.e., firm productivity). Although we find evidence of a U‐shaped relationship between racial diversity and productivity, the relationship is stronger in service‐oriented relative to manufacturing‐oriented industries and in more stable vs. volatile environments. For longer‐term profitability, we propose and find support for more of a positive linear relationship between diversity and performance (i.e., Tobin's q) than a nonlinear one. This linear effect is stronger and more positive in munificent compared to resource‐scare environments. Thus, we aid in reconciling existing, often contradictory, studies by demonstrating the potential short‐term vs. long‐term impact of racial diversity on performance. We offer implications for future research on diversity considering the current and projected demographic landscape. Copyright © 2007 John Wiley & Sons, Ltd.     

Enhancing Poultry Industry Competitiveness: Consumer Perspective on Chicken Meat Quality Based on Sensory Characteristics

The increasing demand for chicken meat has caused producers to increase their productivity through enhanced production techniques. Further increase in demand for quality meat products has been predicted in the country. This study seeks to investigate factors that influence consumer perception toward chicken meat quality. Face-to-face interviews were carried out with 569 consumers at selected shopping malls located in Klang Valley areas. The majority of the respondents perceived quality as an important criterion for buying decisions. The finding revealed that nine factors have influenced consumer perception on meat quality, namely color, size, springiness, chicken aroma, fatty/oily taste, sweetness, visible fat, tenderness, and fibrousness. Among these factors, tenderness was found to be the most important criterion that influenced consumer preference toward chicken meat quality during buying decisions. Good production practices and proper marketing strategies are among recommendations to poultry industry players toward fulfilling consumer demand for good quality chicken meat.