Adding a freight network to a national interstate input–output model: a TransNIEMO application for California

The state of the nation’s infrastructure is the subject of widespread discussion and comment because it is thought to include many deteriorating and unsafe bridges. Ever since the terrorist attacks of 9/11, there has been increasing concern over the extent to which an attack on infrastructure could result in serious economic disruption. This research develops a model to analyze the economic consequences of an attack on a major element of the highway network. We add a freight network to a national multiregional economic impact model and make freight traffic flows endogenous. The use of a sub-national interstate model recognizes that most infrastructure planning is at the state level and most political leaders’ interest is local. We base our approach on the National Interstate Economic Model (NIEMO) and refer to an elaboration that we name Transportation network and the National Interstate Economic Model (TransNIEMO). The new model enables us to study the state-specific and industry-specific economic impacts of some significant changes in the nature of highway freight movements. We tested the model for selected freight movements in and out of California. The results are entirely plausible and encourage us to elaborate and test the model for hypothetical disruptions of freight traffic throughout the US.     

Further participatory adaptation is required for community leaders to champion conservation agriculture in Africa

There is a recognized need for the participation of local communities in designing and implementing agricultural interventions for the sustainable intensification in smallholder systems. This study examines the perspectives of local community leaders towards the widely promoted, but not widely adopted, practice of Conservation Agriculture (CA) in African smallholder systems. Perceptions from 47 community leaders (both from traditional local authorities and farmer organizations) across six African countries are documented regarding how CA matches the wants, needs and capabilities of farmers in their communities. While community leaders generally perceived CA as potentially beneficial, they also indicated that CA is not currently perceived as feasible within their communities and hence has limited relevance. Three key themes were identified that limit both CA use and sustainable intensification more generally: [1] a perceived reluctance of farmers to engage with the community platform as part of a higher input, market-oriented production system; [2] informational constraints due to non-functional exchange mechanisms; and [3] a lack of local adaptation of CA underscored by the persistence of top-down, linear research and extension approaches. Through greater understanding of local perspectives, a clearer picture emerges of the need for greater participatory engagement and local adaptation if sustainable intensification of African smallholder agricultural systems is to be achieved.     

SENSITIVITY AND UNCERTAINTY ANALYSIS IN MRIO MODELLING; SOME EMPIRICAL RESULTS WITH REGARD TO THE DUTCH CARBON FOOTPRINT

Environmental multi-regional input–output (MRIO) models require large amounts of data that all have their specific uncertainties. This paper presents a sensitivity and uncertainty analysis in order to gain an understanding of the directions in which efforts should be made to reduce these uncertainties. The analyses were carried out for an MRIO model to calculate the Dutch carbon footprint. A sensitivity analysis of the technical coefficients showed that changes in the coefficients in the domestic blocks and in the Dutch import blocks had the largest effects on the calculated footprint. The uncertainty analysis consisting of a Monte Carlo simulation based on probability distributions around the model coefficients showed a relatively low degree of uncertainty in the total Dutch carbon footprint; uncertainties in the carbon emissions allocated to regions, sectors and products were larger. Both analyses showed that, in certain cases, it is justified to apply a partial MRIO analysis.     

Exchange traded contracts for difference: Design,pricing, and effects

Contracts for Difference (CFDs) are a significant financial innovation in the design of futures contracts. Over‐the‐counter trading in the UK is significant and has created controversy, but there is no published academic research into the design, pricing, and effects of CFDs. This study analyzes CFD contract design and pricing. It uses a unique database of trades and quotes on exchange traded equity CFDs introduced by the Australian Securities Exchange to test theoretical pricing relationships, and draws out implications for successful design and trading arrangements for the introduction of new derivative contracts. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark     

Imputing relevant information from multi-day GPS tracers for retail planning and management using data fusion and context-sensitive learning

It is well known that the right location of shopping centres is of paramount importance. Unless stores succeed in attracting their own clientele, they rely to a large extent on the impulse behaviour of shoppers. To evaluate alternative locations, models of pedestrian behaviour may be useful. Modern technologies such as GPS and RFID offer new possibilities providing data on routes and stops, which are required as input for such models. An automatic interpretation of GPS tracers with respect to the activities being conducted could enhance the applicability of such technologies to retail management applications. This paper reviews this rapidly growing literature, and shows how automatic data imputation can be established by using Bayesian belief networks and how GPS traces can be fused with land use data of retail location.     

“现在大家都是民主派了……”

"民主,欢迎归来!"——2008年11月6日《海狸》(伦敦政治经济学院校报)关于奥巴马当选的头条标题作为空洞能指的民主时至今日,民主在全球范围内拥有了空前的声望;然而,同样史无前例的是,民主也变得概念随意、内涵空洞。或许,民主现在的人气,恰恰依赖于其意义与实践的开放性、甚至空虚性(如同巴拉克·奥巴马)。这是一个空洞的能指,任何人都可以向它投射自己的梦想与愿望。作为现     

Schooling in a Corporate Society

This article defines a measure of the quality of life in the regional capitals of Poland and compares the results. This taxonomic measure is based on a set of diagnostic traits, including housing conditions, state of the natural environment, labor market, personal safety, and range of cultural services available. For this purpose, a set of variables from 2011 was observed for each regional capital. This research is important in defining the difference between our target cities from the standpoint of social development. It also allows us to classify the cities into groups based on the quality of life of their inhabitants.     

Merit pay preferences among public sector employees

Organisations have choices about methods of pay, and employee pay adjustment preferences are an important consideration in this decision‐making process. Of particular organisational interest currently are pay systems that seek to link increases with individual performance, usually referred to as merit pay. Researchers have shown that pay adjustment systems that are incompatible with employee preferences can be costly for organisations, and have identified a range of demographic factors that predict support for merit adjustments. This article extends this line of research by investigating the impact of a performance appraisal system and a range of situational factors on the level of support for merit pay in a large public sector research organisation in Australia. The study finds that higher levels of perceived job security are associated with support for merit pay, while good promotional opportunities are associated with lower levels of support. Those who saw the outcomes of the current performance appraisal system as fair were unlikely to support merit pay.