The liberal paradox with fuzzy preferences

The present note reformulates Amartya Sen's (1970) result on the impossibility of a Paretian liberal in a collective choice framework in which both individual and social preferences are allowed to be fuzzy: the result of this exercise is not found to be encouraging in terms of escaping Sen's liberal paradox in the exact framework.     

An empirical examination of the science–technology relationship in the biotechnology industry

Understanding how a firm's scientific capability influences its technology development has important implications on the firm's research and development (R&D) strategies. However, the current literature reveals a puzzling outcome in its empirical investigations on the science–technology relationship. While many studies show the positive influence of a firm's scientific capability on its technological performance, a few others indicate that if a firm focuses its attention more on cutting edge science, its overall technological performance will suffer. We suggest that these findings can be reconciled by conceptualizing and measuring the scientific capability of the firm differently. This paper attempts to demonstrate how different notions of scientific capability are associated with different performance outcomes. Furthermore, a firm's scientific capability facilitates the integration of new knowledge to produce valuable technologies when a firm broadens its search for new knowledge. The paper highlights the nuances of conceptualizing and measuring the firm's scientific capability in two different ways: number of scientific publications and non-patent references. The findings also shed light on the mechanism through which science accelerates technological progress inside a firm.     

Extended Producer Responsibility for E‐Waste: Individual or Collective Producer Responsibility?

We investigate the implications of collective and individual producer responsibility (CPR and IPR, respectively) models of product take‐back laws for e‐waste on manufacturers’ design for product recovery (DfR) choices and profits, and on consumer surplus in the presence of product competition. We show that IPR offers superior DfR incentives as compared to CPR, and provides a level competitive ground. CPR may distort competition and allow free‐riding on DfR efforts to reduce product recovery costs. Thus, manufacturer preferences for IPR or CPR may differ because of the free‐riding implications under CPR, with even high‐end manufacturers having incentives to free‐ride under certain competitive conditions. The policy choice between IPR and CPR is not clear cut from an economic welfare perspective. This choice involves a comparison between the effects of superior recovery cost reduction through improved DfR under IPR and the operational cost‐efficiency under CPR.     

Variance partitioning in multilevel logistic models that exhibit overdispersion

Summary.  A common application of multilevel models is to apportion the variance in the response according to the different levels of the data. Whereas partitioning variances is straightforward in models with a continuous response variable with a normal error distribution at each level, the extension of this partitioning to models with binary responses or to proportions or counts is less obvious. We describe methodology due to Goldstein and co-workers for apportioning variance that is attributable to higher levels in multilevel binomial logistic models. This partitioning they referred to as the variance partition coefficient. We consider extending the variance partition coefficient concept to data sets when the response is a proportion and where the binomial assumption may not be appropriate owing to overdispersion in the response variable. Using the literacy data from the 1991 Indian census we estimate simple and complex variance partition coefficients at multiple levels of geography in models with significant overdispersion and thereby establish the relative importance of different geographic levels that influence educational disparities in India.     

对方代理，为己所用

雇用代理人的好处尽人皆知。但是,谈判专家常常忽略可以想方设法将对方的代理人变为我方的有利条件在有关谈判的文章中,出于各种原因,人们常会建议你选用代理人代表你来讨价还价。诸如离婚律师或地产经纪这样的代理人,可能在你不熟悉的领域拥有特定的专业技     

Engineering manpower planning in an airline

Next to the crew on the flight deck of an aircraft, the engineers and technicians form the core of the manpower requirement of an airline. The aviation industry is a specialised one. There are mandatory requirements regarding the airworthiness of an aircraft and certification of engineers and technicians working on or inspecting an aircraft. The requirements of Engineers and Technicians cannot be directly met from the products available from Engineering Colleges and Technical Institutes. Furthermore, 3–4 years of experience in aviation industry is a prerequisite laid down by Civil Aviation Departments for obtaining their licence or approval to work as Engineers and Inspectors in Inspection Organisations. Hence planning of Engineering manpower requirements well in advance is a must for an Airline. The objective of this paper is to discuss the long term planning for engineering manpower resource, in an airline.     

Environmental improvement initiatives in the coal mining industry: maximisation of the triple bottom line

Abstract

Mining is an economically important industry, which faces several environmental and social challenges. Other than operational improvement activities, mining companies are increasingly paying attention to reduce greenhouse gas emissions (GHGs) and maximise social welfare to satisfy multiple stakeholders and the rise of corporate social responsible initiatives. Based on a case study analysis of coal mining companies we develop a triple bottom line (TBL) initiatives framework that provides a starting point for mining companies to develop a strategic approach to environmental improvement initiatives that can positively impact all elements of the TBL. We highlight four types of process and offset-based initiatives that are available to mining companies to reduce their GHGs, each having differential effects on elements of the TBL. Our findings suggest the importance of company-wide strategies of looking at initiatives through all rather than individual elements of the TBL. Such a strategy would provide an appropriate estimate of the costs and benefits of the initiatives and results in a balanced approach that takes care of operational improvement, reduces GHGs and improves the social welfare of people engaged in mining operations and wider society.     

Tests for the skewness parameter of two-piece double exponential distribution in the presence of nuisance parameters

In this paper, tests for the skewness parameter of the two-piece double exponential distribution are derived when the location parameter is unknown. Classical tests like Neyman structure test and likelihood ratio test (LRT), that are generally used to test hypotheses in the presence of nuisance parameters, are not feasible for this distribution since the exact distributions of the test statistics become very complicated. As an alternative, we identify a set of statistics that are ancillary for the location parameter. When the scale parameter is known, Neyman–Pearson's lemma is used, and when the scale parameter is unknown, the LRT is applied to the joint density function of ancillary statistics, in order to obtain a test for the skewness parameter of the distribution. Test for symmetry of the distribution can be deduced as a special case. It is found that power of the proposed tests for symmetry is only marginally less than the power of corresponding classical optimum tests when the location parameter is known, especially for moderate and large sample sizes.