宝洁公司在RFID技术应用中的实践

宝洁公司对RFID技术的应用方式非常了解。早在第二次世界大战之后它就开始了RFID技术的研究,并且意识到此项技术的研发能够提供所需的信息和管理办法。当前的供应链系统被看成是到处充满各种暗示的猜谜游戏,因此RFID技术的研究是非常必要的。随着研究工作的不断深入,越来越多的公司加入其中。     

Identifying the Effects of WIC on Food Insecurity Among Infants and Children

The Women, Infants, and Children (WIC) Program is considered a crucial component of the social safety net in the United States, yet there is limited supporting evidence on the effects of WIC on the nutritional well‐being and food security of infants and young children. Using data from the National Health and Nutrition Examination Survey, we apply recently developed partial identification methods to jointly account for unobserved counterfactual outcomes and systematic underreporting of WIC participation. Under nonparametric assumptions, we find that WIC reduces the prevalence of child food insecurity by at least 3.6 percentage points (20%).     

The Effect of Risk Context on the Value of a Statistical Life: a Bayesian Meta-model

This paper presents the first value of statistical life (VSL) meta-analysis that empirically estimates correction factors for ‘out of context’ benefits transfer (BT) purposes. In the field of mortality risk reductions elicited willingness to pay values in one risk context, say road safety, are frequently applied in other risk contexts like air pollution. However, differences in risk perception and the population at risk across contexts are likely to result in diverging VSL estimates. In a meta-analysis of 26 international stated preference studies, a Bayesian model is estimated regressing contingent values for mortality risk reductions, originating from three different risk contexts, on the characteristics of the risk reduction itself and additional variables characterizing the underlying studies. A willingness to pay (WTP) premium for mortality risk reductions in the air pollution and general mortality risk context relative to improving road safety is observed. Evaluated at the mean, road safety VSL estimates should be multiplied by a factor 1.8 before being applicable in the air pollution context. Moreover, in an illustrative BT exercise we find limited overlap in the set of context specific predictive VSL distributions. Consequently, ‘out of context’ BT results in a substantial over- or underestimation of the VSL.     

General equilibrium modelling of the direct and indirect economic impacts of water quality improvements in the Netherlands at national and river basin scale

The main objective of the study presented in this paper is to estimate the direct and indirect economic impacts of water quality policy scenarios in the Netherlands focusing on the reduction of emission levels of nutrients and a number of eco-toxicological substances. For this purpose, an Applied General Equilibrium (AGE) model consisting of 27 production sectors is extended to water through the inclusion of substitution elasticities between labour, capital and emissions to water in the sectors' production functions. The macro-economic costs of a 10, 20 and 50% reduction of the emission levels in the year 2000 of ten priority substances in the EU Water Framework Directive vary between 0.2 and 9.4% of Net National Income (NNI). A large share of the total economic costs are borne by important sources of pollution like commercial shipping, the chemical and metal industry. However, important spin-off effects due to adaptation take place in the tertiary service sector. Besides the estimation of the economy-wide impacts of water quality improvements, the novelty of the study presented here is found in the downscaling of national and sector results to river basin level and the estimation of shadow prices for water-polluting substances through the introduction of an emission permits market.     

A note on cross-impact analysis: a calculus for sequence-dependent events

As the example presented demonatrate, the analysis of cross-impactss amount a group of related events is somewhat more complex than perhaps heretofore imagined. Impacts of effects between such events very often carely depend on their temporal sequence. The event outcome space is accordingly multiplied considerably over the case where such dependency is ignored. The result is that high premium is placed on methods that seek to reduce analytical complexity without distorting essential event intrications.     

Tourism-based heritage conservation in Murshidabad: an appraisal

The article appraises the outcome of promoting tourism as a strategy for heritage conservation in the case of Murshidabad, an archetypal historic town in decline in India. A relational maturity-based framework has been used to examine the complementarities and conflicts between tourism and heritage conservation in the town. The prevailing nature of tourism conservation relationship in Murshidabad upholds the criticality characteristically observed in developing countries, where governments focus primarily on the revenue generating potential of built-heritage centric tourism ignoring the conservation attention necessary to retain authenticity and meaningful existence of historic structures. The overarching issues emerging from the current level of relational maturity in Murshidabad are identified with suggestions for possible policy implications of the study.     

Qualitative Input–Output Analysis of the Indian Economic Structure

Qualitative input–output (IO) analysis can be considered mostly in terms of a graph-theoretic formulation, which involves the construction and use of an adjacency matrix, derived from a binary transformation of the IO coefficient matrix. Classical attempts at qualitative IO analysis have derived the structure from the direct IO coefficient table. In more recent attempts, greater sophistication has been achieved by incorporating a degree of quantification into the qualitative analysis. Also, the concept of important coefficients (IC) has been used for the construction of the adjacency matrix. The present study is carried out along these lines for the Indian economy.     

Trust in financial services: Retrospect and prospect

Fostering and maintaining high levels of trust in the financial services sector is seen as crucial because of the characteristics of many financial service and in order to promote consumer engagement in the sector. In this article, we report evidence from a body of work and other commentary to provide an insight into trends in consumer trust in the sector as a whole, in comparison with other organisations and how different types of financial services provider have performed relative to each other. We show that the financial services sector as a whole is trusted more than some comparator institutions, and that aggregate levels of trust in the sector have fluctuated a relatively small amount subsequent to the financial crisis. However, important differences between provider types are apparent and these differences have become more profound in the recent past. We provide suggestions as to how trust in the sector may be improved and provider an analysis of current initiatives to improve trust levels in the sector in general and in banking in particular.     

Central Bank Intervention in USD/INR Market: Estimating Its Reaction Function and Impact on Volatility

Econometric evidence on why central banks intervene in the foreign exchange market and the impact of such intervention has remained inconclusive. We contribute to the literature with evidence from India, a managed float regime that sees consistent monitoring and intervention by Reserve Bank of India, India’s central bank. Estimation of the central bank reaction function shows that increased volatility in the foreign exchange market and misalignment from targeted rates are important objectives behind intervention. The paper further uses the GARCH framework to study how intervention influences exchange rate volatility. We find that intervention in the spot market increases volatility while that in the forward market reduces volatility.