Time to reconceptualize ‘green technology’ in the context of globalization and international relations

The focus on time is used to demonstrate that Newtonian conceptions of reality underpin the push for ‘green technology’ and its associated international relations. It brings to the surface the rationale of this technology and shows its limits and future potential by exploring underlying assumptions and principles: ‘green technology’, it is argued, is not achievable on those terms and such an approach to environmental problems is unlikely to lead to relevant action and suitable solutions. It is not simply a matter of finding the ‘right technical, economic and political solutions but, crucially, about reconceptualization and the restructuring of knowledge. Thus, conceptual revision is necessary if appropriate responses are to be found to the hazards of the industrial way of life; focus on the temporal dimension of technology and globalized political processes offers a first point of departure from the Newtonian tradition.     

Marginality and its directions

The concept of marginality articulated by Robert Park in Migration and the Marginal Man is reconstructed in order to yield a more complex general theory of marginality. Park believed marginality results when individuals in migrant groups are barred by prejudice from complete acceptance into a dominant culture. Here it is argued that the marginal person, having taken on elements of the dominant culture, also is unable to return unchanged to his or her original group. Thus, the marginal person is caught in a structure of double ambivalence: unable either to leave or to return to the original group; unable either to merge with the new group or to slough it off. Marginal persons typically react to this field of cross-cutting pressures in four directions, here termed assimilation, return, poise, and transcendence. German Jewry of the Wilhelmine era serves as a test case of the general theory of marginality. Application of the theory resolves some of the salient difficulties attending efforts to understand postemancipation German Jewry.     

Asymptotically Uniform Tests After Consistent Model Selection in the Linear Regression Model

Abstract

This article specializes the critical value (CV) methods that are based upon (refinements of) Bonferroni bounds, introduced by McCloskey to a problem of inference after consistent model selection in a general linear regression model. The post-selection problem is formulated to mimic common empirical practice and is applicable to both cross-sectional and time series contexts. We provide algorithms for constructing the CVs in this setting and establish uniform asymptotic size results for the resulting tests. The practical implementation of the CVs is illustrated in an empirical application to the effect of classroom size on test scores.     

AN EVALUATION OF FORECAST ERROR IN MASTER PRODUCTION SCHEDULING FOR MATERIAL REQUIREMENTS PLANNING SYSTEMS.

Typical forecast-error measures such as mean squared error, mean absolute deviation and bias generally are accepted indicators of forecasting performance. However, the eventual cost impact of forecast errors on system performance and the degree to which cost consequences are explained by typical error measures have not been studied thoroughly. The present paper demonstrates that these typical error measures often are not good predictors of cost consequences in material requirements planning (MRP) settings. MRP systems rely directly on the master production schedule (MPS) to specify gross requirements. These MRP environments receive forecast errors indirectly when the errors create inaccuracies in the MPS. Our study results suggest that within MRP environments the predictive capabilities of forecast-error measures are contingent on the lot-sizing rule and the product components structure When forecast errors and MRP system costs are coanalyzed, bias emerges as having reasonable predictive ability. In further investigations of bias, loss functions are evaluated to explain the MRP cost consequences of forecast errors. Estimating the loss functions of forecast errors through regression analysis demonstrates the superiority of loss functions as measures over typical forecast error measures in the MPS.     

GETTING INTO THE WEEDS: DOES LEGAL MARIJUANA ACCESS BLUNT ACADEMIC PERFORMANCE IN COLLEGE?

This paper examines the effect of legal access to marijuana on student performance stemming from a voter-approved initiative legalizing marijuana for those 21 and older in the State of Washington. Using panel data from a medium-sized public university, we use a within-student and within-class estimator to show that legalization reduces students' grades, with an effect size about one-half the impact of gaining legal access to alcohol. Consistent with how marijuana consumption affects cognitive functioning, we find that students' grades fall furthest in courses that require more quantitative skills. These effects are largely driven by men and low performers. (JEL I23, I18, K32)     

Return Migration and Decontamination After the 2011 Fukushima Nuclear Power Plant Disaster

Return migration is key to community recovery from many disasters. Japanese governments have conducted radiation decontamination efforts in the Exclusion Zone designated after the 2011 Fukushima nuclear disaster in order to encourage this outcome. Little is known, however, about the factors that influence post-disaster migrants to return, and, if people are relatively unresponsive to decontamination, then the costs of promoting recovery may exceed the benefits. We exploit a unique survey of Fukushima evacuees to determine the factors that influence their decision to return after a disaster. Location-specific capital characteristics, such as housing tenure and the extent of property damage, are estimated to be strong factors. The radiation dose rate of the home location is found to be a statistically significant factor for intent to return, but its effect is small. We also found that households with various other characteristics were noncommittal about the return option and likely to defer their decisions, which implies that “return” and “not-return” are asymmetric. Our simulation analysis found that the number of returnees encouraged by this decontamination was 12,882, less than 8% of the total evacuees, while the decontamination cost per returnee was 3.36 million USD. This result implies that the government could have improved the well-being of evacuees at a lower cost by policies other than decontamination.     

Floral abundance and richness drive beneficial arthropod conservation and biological control on golf courses

Urban Ecosystems - Golf courses are among the largest, most ubiquitous highly maintained urban green spaces in the U.S. Although their primary function is recreation, a large portion of golf course...     

A note on a makespan minimization problem with a multi-ability learning effect

In the scheduling literature the learning effect is perceived as a process of acquiring experience by a processor (e.g. a human worker) in one ability. However, in many real-life problems the processor, during execution of jobs, increases its experience in different, very often independent, abilities (skills). In consequence, it causes the overall growth of the efficiency of the processor. According to this observation, in this paper, we bring into scheduling a new approach called multi-ability learning that generalizes the existing ones and models more precisely real-life settings. On this basis, we focus on a makespan minimization problem with the proposed learning model and provide optimal polynomial time algorithms for its special cases, which often occur in management.