TRIBUTE: Trip-based urban transportation emissions model for municipalities

This research aims at developing modeling and scenario-comparison tools to explore the impacts of various transportation and land use planning policies on changing travel behavior and eventually greenhouse gas (GHG) emissions. A Trip-Based Urban Transportation Emissions (TRIBUTE) model is developed. Data required for TRIBUTE comes from household travel surveys and emissions inventories, which is a major advantage in cases where a detailed transportation network model is unavailable. TRIBUTE is composed of two main parts: a mode choice model and an emissions forecasting model. The mode choice model is responsible for estimating modal shares of alternative modes of travel in response to changes in personal, modal, and land use attributes. The emissions forecasting model translates the modal shares into vehicle kilometers traveled, and subsequently GHG emissions. TRIBUTE is a macroscopic model intended to assist municipalities evaluate alternative transportation and land use policy scenarios and eventually select the one(s) that help them meet their future GHG emission targets. This paper reports on the conceptual framework of the developed model and presents a case study.     

The effects of human capital composition on technological convergence

This paper empirically investigates whether the contribution of human capital to productivity growth depends on the composition of human capital and proximity to the technology frontier in a panel of 87 sample countries over the period 1970–2004. It tests the hypothesis that primary and secondary education is more suitable for imitation whereas tertiary education is more appropriate for innovation. The results show that the growth enhancing effects of higher education increase with proximity to the technology frontier only for high and medium income countries.     

Marketing challenges and organic farming in India—Does farm size matter?

The growing health consciousness among the consumer and increasing awareness about organic food has led numerous opportunities for organic producers. Along with opportunities, there also arise challenges; thus, the main purpose of this study is to explore the marketing challenges faced by the organic and conventional farmers in India. The study also aims to examine the differential association of the marketing challenges on various farm sizes. The sample comprised 400 Indian farmers including both conventional and organic producers. A sequential form of mixed‐method design, that is, qualitative–quantitative, was applied. In the first phase, an exploratory study was convened to find out the marketing challenges among organic and conventional farmers. In the second (quantitative) phase, binomial and multinomial logistics regression was applied to ascertain the differential impact of the marketing challenges on the type of farming and different farm sizes. The results of the qualitative analysis revealed six major marketing challenges faced by the farmers, namely, lack of warehousing facility, lack of price information, inadequate demand for crop, costly transportation, market price variations, and lack of government support. The results suggest there are significant differences in the marketing challenges faced by the conventional and organic farmers across farm sizes. This study is among the few to examine the marketing challenges of organic and conventional farmers in a developing country such as India. The findings will help different stakeholders to frame policies and build strategies to promote organic farming, which will lead to sustainable and responsible consumption in India.     

Two-stage point estimation with a shrinkage stopping rule

Consider the problem of estimating a mean vector in ap-variate normal distribution under two-stage sequential sampling schemes. The paper proposes a stopping rule motivated by the James-Stein shrinkage estimator, and shows that the stopping rule and the corresponding shrinkage estimator asymptotically dominate the usual two-stage procedure under a sequence of local alternatives forp3. Also the results of Monte Carlo simulation for average sample sizes and risks of estimators are stated.     

Achieving sustainable urban transport mobility in post peak oil era

Peak oil is the term used to describe the point at which global oil production will peak and thereafter start to decline. Recognising that transport uses a significant portion of global energy, the shortage of fossil fuel in post peak oil era will pose a global challenge in the transport sector. The paper presents an assessment of international research to illustrate the possible time frame of peak oil. It investigates the key implications of the oil shortage that threaten to render the urban transport system of Australia ineffective. Synthesis of documented research evidence suggests three major implications in the urban transport sector: (1) a reduction of mobility for individuals, (2) an increase of transport disadvantage, and (3) a disruption of urban freight movement. In addition, the paper explores strategies to cope with the devastating effects of the shortage of the fossil fuel in the post peak oil era. A number of strategies to achieve sustainable mobility in the future urban transport system are presented. These strategies are summarised into three main themes: (1) a mode shift to alternate transport modes, (2) an integration of land use and transport planning, and (3) a global technical effort for alternate fuels and vehicles. It is expected that a concerted global effort in this regard can have a far-reaching effect in achieving sustainability in urban transport mobility.     

GOODS AND SERVICES IN EXCHANGE FOR GOODS AND SERVICES The Milhaud Plan

The following article, which forms the first of a series, is taken from the December, 1941, number of the English periodical "Export", the official journal of the Institute of Export (*) . It will be followed by all the other articles which go to make up the series. We thank the authors and the directors of the review for their kindness in giving us permission to reprint this series of articles. (Editor of the Annals .)     

Moderating Effects of Firm Age on the Relationship between Debt and Stock Returns

This article investigates the moderating effects of firm age on the relationship between debt and stock returns. The system generalized method of moment’s results indicate that firm age has a positive moderating effect on the relationship between book debt and stock returns. The results are robust, as firm age positively moderates the relationship between market debt and stock returns. Moreover, firm age has a direct positive effect on stock returns. Results suggest that as firms grow older, they use their experience to make effective capital structure decisions (i.e., optimal debt-equity mix) to maximize debt interest-tax-shield and increase shareholders’ returns.     

CEO marital status and corporate cash holdings

We examine the effect of CEO marital status on corporate cash holdings. Consistent with the classical agency framework, we find that firms with single CEOs hold more cash compared to otherwise similar firms with married CEOs and that the excess cash held by single CEOs is significantly discounted by shareholders. Our findings survive a battery of tests to ease endogeneity and selection bias, confirming that results are not simply reflecting innate heterogeneity in preferences. Overall, our findings indicate that a variable outside the common firm- and macro-level determinants, CEO marital status, can significantly influence corporate policies.     

Estimating survivor function using optimally selected order statistics

This paper deals with the estimation of survivor function using optimally selected order statistics when the sample sizen is large. We use the estimates (μ*,σ*) based on the optimum set of order statistics for largen and fixedk (≤n) such that the estimate has optimum variance property. The asymptotic relative efficiency of such an estimator is compared with the one based on the complete sample. The general theory of the problem and specific details with respect to a two-parameter Normal, Logistic, Exponential and Pareto distributions is considered as an example.