A Further Analysis of Provincial Trucking Regulation
Forcing what is essentially a hyperbolic relationship into a linear regression model can create a "hyperbolic bag." This bag takes on importance if it is systematically related to other variables in the regression model. For the case at hand, it appeared that using a linear model might overstate the effects of regulation on trucking rates because the provinces which regulate rates have either relatively short or relatively long average distances, while those which do not regulate rates have intermediate distances falling at the bottom of such a bag. The regression model was respecified to correct for this problem, and while the respecification appears unimportant, other questions are raised.
Change of company ownership, CEO turnover and the origin of CEO: case from Indonesia
This study aims to provide empirical evidence that the action on the Chief Executive Officer (CEO) turnover is in line with the change in ownership structure. Data of CEO is collected originally from all companies in Indonesia during 1999−2007. The CEO substitution of selected companies was only taken until the turnover to the year 2003, and during the four years after the turn was never replaced. The result from our study cannot find the relationship between corporate ownership changes and CEO turnover in Indonesia. However, the study finds a statistically significant result on the relationship between CEO turnover and accounting performance. Furthermore, the result of study also showed that the companies with poor performance over several years before turnover tended to choose a new CEO from external, rather than the corporate with relatively good financial performance. The owners expect the CEO successor from external parties can bring changes to the company through new policies.
The Demand for Intercity Motor Freight Transport: A Macroeconomic Analysis
The objectives of the analysis underlying this paper are twofold. One purpose is to test a hypothesis that increases and decreases in the volume of goods or services demanded of an entire industry are dependent on the same factors which normally account for changes in demand for the output of a single firm, in accordance with the postulates of microeconomic theory. The second purpose is to develop a method for estimating the requirements for additional highway facilities to meet the anticipated growth of the commercial trucking industry. In pursuance of the first objective, a mathematical equation is used to demonstrate an exceptionally high dependence of demand for commercial motor freight transport in Canada on the same three elements commonly associated with microeconomic demand schedules-elasticities of price, income, and competition (cross-elasticity). In regard to the second objective, reliable forecasts of demand constitute an indispensable guide for individuals concerned with determining the amounts and types of public investments in additional transport facilities which will be needed to satisfy future expectations. With highway expenditures in the United States exceeding $18 billion in 1969, or approximately $90 per capita, and approximately $1.8 billion, or $88 per capita, for Canada in 1966, the importance of accurate predictions of requirements for additional highway capacity is evident. Since trucks represent over 15 percent of total vehicle registrations in the United States, the anticipated response of motor freight traffic volume to projected changes in levels of national economic activity and increases or decreases in levels of charges assessed by motor carriers and by alternative transport services as disclosed in this study will assist transport planners in evaluating the quantity and allocation of future investments in transport facilities.