Competitive Capabilities among Manufacturing Plants in Developing,Emerging, and Industrialized Countries: A Comparative Analysis

Competitive capabilities have been defined as a plant's actual performance relative to its competitors, with the most commonly investigated capabilities being quality, delivery, flexibility, and cost. However, most research in this realm has investigated capabilities within developed countries, and neglected the context of developing and emerging nations, which are increasingly becoming viable economic entities in global supply chains in their own right. The present study fills this gap and carries out a comparative analysis of competitive capabilities among plants in developing, emerging, and industrialized countries. Basing our arguments on the resource‐based view of the firm, we suggest that the influence of competitive capabilities on each other varies among plants in differentially industrialized regions. Specifically, we suggest that, on average, competitive capabilities tend to influence each other to a greater degree in plants in emerging and developing countries compared to industrialized countries. Along similar lines, we suggest that the influence of the four competitive capabilities on performance improvement is manifested more strongly among plants in emerging and developing countries than among plants in industrialized nations. We investigate these contentions with data from 1,211 plants in 21 countries. The results are particularly important for decision makers as they decide on the increasingly global location of their manufacturing operations or the configuration of their global supply chains.     

Environmental Hazards,Migration, and Race

This study contributes to our understanding of the association between internal migration patterns and environmentally hazardous facilities, with a focus upon race-specific outmigration at the county-level, nationwide. Among research suggesting inequalities with regard to the social distribution of environmental risk, selective migration is often implied to be a key dynamic leading to differential exposure to proximate environmental hazards. Nonetheless, the models presented here provide no evidence of differential migratory response by race to environmentally hazardous facilities, net of a wide array of socioeconomic controls for labor force opportunity, climate, and demographic structure. Future research should consider these associations at more precise geographies and/or at the individual level.     

Sport and disability: Pistorius does not fit with the categories

Oscar Pistorius presents a major issue to sports organisations, as exposed in the media. First and foremost, media wrongly perceive him as the first disabled athlete to participate in the Olympic Games. Second, they openly question the legitimacy of his participation mainly based on the inequity introduced by his prosthetic legs. Content analysis, in English and French, of written press, International Association of Athletics Federations (IAAF) and Court of Arbitration for Sport (CAS) texts, from 2004 to 2012, confirms that Pistorius presents a new puzzle to sports organizations. This is partly because they are not able to determine whether his performances are a result of his body strength or if they are biased by his artificial limbs. Furthermore, when he is competing against able-bodied athletes, sports organizsations put him in a ‘monstrous’ position. Similarly, while categorising him as an ‘athlete’ they do not grant him the characteristic feature of this category: certified comparability of performances to ultimately establish ranks.     

A Full Bayesian Non-parametric Analysis Involving a Neutral to the Right Process

Implementation of a full Bayesian non-parametric analysis involving neutral to the right processes (apart from the special case of the Dirichlet process) has been difficult for two reasons: first, the posterior distributions are complex and therefore only Bayes estimates (posterior expectations) have previously been presented; secondly, it is difficult to obtain an interpretation for the parameters of a neutral to the right process. In this paper we extend Ferguson & Phadia (1979) by presenting a general method for specifying the prior mean and variance of a neutral to the right process, providing the interpretation of the parameters. Additionally, we provide the basis for a full Bayesian analysis, via simulation, from the posterior process using a hybrid of new algorithms that is applicable to a large class of neutral to the right processes (Ferguson & Phadia only provide posterior means). The ideas are exemplified through illustrative analyses.     

Classification by race and Spanish origin in the 1980 census and its impact on white and nonwhite rates

A basic change concerning the racial classification of persons of Spanish origin used in the 1980 U.S. census is examined for its impact on white and nonwhite population counts, particularly in urban areas. "Arrest rates by race for central city Phoenix together with 1980 census data by race and ethnicity for Phoenix and 11 other central cities are used to illustrate the substantive effect of changes in the white and 'other race' counts produced by this change in procedure." The authors consider "remedies for the problems faced by those using published census data..., and one possibility for creating comparable rates is presented. Closely related complications created by the failure of the Office of Management and Budget to arrive at a single, logical statistical standard for the classification of U.S. residents by race and ethnicity are also identified."     

Generalized symmetric weight assignment technique: Incorporating managerial preferences in data envelopment analysis using a penalty function

In this paper, we generalize the Symmetric Weight Assignment Technique to incorporate all managerial preferences in Data Envelopment Analysis (DEA). This is a method that promotes managerial preferences, while not changing the feasibility region of the nominal DEA model, unlike standard techniques such as cone ratio and assurance region that potentially yield infeasible problems. We discuss how this generalization is motivated by a real word problem where the decision maker's preference is not precisely known. We also discuss how we are using our generalization in solving a workforce allocation problem for the United States Navy.     

ENVIRONMENTAL POLICY AND VEHICLE SAFETY: THE IMPACT OF GASOLINE TAXES

Policies to reduce carbon emissions by vehicles, such as fuel economy standards and gasoline taxes, have impacts on vehicle weight and thus on safety. This paper develops a model that separately identifies the impact of vehicle weight on mortality and selection effects that impact accident propensity. The main results are that (1) the safety externalities associated with heavy vehicles are greater than the environmental ones; (2) under fuel economy standards, vehicle weights have recently decreased with little likely effect on accident deaths; and (3) similar environmental benefits could be combined with substantial reductions in deaths by implementing higher gasoline taxes. (JEL H23, D62)