Gentlewomanly capitalism? Spinsters,widows, and wealth holding in England and Wales,c. 1800–1860

This article examines the demographic and geographical importance of wealthy middle-class women. It argues that in certain towns and cities, notably London, such women were of sufficient importance to merit attention in their own right. Drawing upon a sample of wills, it describes the types of wealth owned by these women. By examining women's investment in government securities, it argues that women's wealth was of crucial importance to the British state. Its findings challenge conventional understandings of the relationships between gender ideology, wealth holding, and economic development.     

The repeat travel market for Taiwan: A multi-stage segmentation approach

Despite the importance of market segmentation, the growth of the travel and tourism industry in Taiwan, and the repeat travel phenomenon in tourism, relatively few studies have examined the behavior of repeat travelers in the East Asia region. The present study was designed to fill this gap. This exploratory study applied multistage segmentation in the context of repeat travel behavior to Taiwan. It examined the socio-demographic profile, trip characteristics and expenditures of Taiwan inbound repeat travelers. The results indicated that nationality, income, type of travel arrangements and information search behavior significantly affected repeat travel behavior. In terms of travel expenditures, males spent significantly more than females. Those travelers between 40 and 60 years old tended to spend the most when they visited Taiwan compared to other groups. Chinese travelers were most likely to have traveled to Taiwan more than once among all nationalities compared in this study. Those from Korea and Japan spent the most money among all nationality groups. This study provided several significant implications for the marketers of tourism in Taiwan.     

Information in generalized method of moments estimation and entropy-based moment selection

In this paper, we make five contributions to the literature on information and entropy in generalized method of moments (GMM) estimation. First, we introduce the concept of the long run canonical correlations (LRCCs) between the true score vector and the moment function f(_vt,_θ0)$f(v_t,{\theta }_0)$ and show that they provide a metric for the information contained in the population moment condition E[f(_vt,_θ0)]=0$\mathrm{E}[f(v_t,{\theta }_0)]=0$. Second, we show that the entropy of the limiting distribution of the GMM estimator can be written in terms of these LRCCs. Third, motivated by the above results, we introduce an information criterion based on this entropy that can be used as a basis for moment selection. Fourth, we introduce the concept of nearly redundant moment conditions and use it to explore the connection between redundancy and weak identification. Fifth, we analyse the behaviour of the aforementioned entropy-based moment selection method in two scenarios of interest; these scenarios are: (i) nonlinear dynamic models where the parameter vector is identified by all the combinations of moment conditions considered; (ii) linear static models where the parameter vector may be weakly identified for some of the combinations considered. The first of these contributions rests on a generalized information equality that is proved in the paper, and may be of interest in its own right.     

Trends in fall injuries associated with children's outdoor climbing frames

Falls from publicly owned climbing equipment are often cited as the major cause of injury on children's outdoor playgrounds and have been the focus of substantial interventions in the UK since the early 1980s. Analysis of national data on falls from climbing frames for 1988 to 2002 shows that the main discernible trend during this period is an increase in the occurrence of injuries to the lower arm. Whether this is attributable to a behavioural response to some of the interventions, or to some other factor, is unknown.     

Can Direct Payments Facilitate Agricultural Commercialisation: Evidence from a Transition Country

We investigate the impact of direct payments on agricultural commercialisation in Kosovo. Kosovo is one of the poorest countries in Europe but, with European assistance, provides substantial funds to support agriculture, made up of many small and often semi‐subsistence farms. Thus, the effect of this support is a central policy issue. Identifying the effect of direct payments on market participation faces endogeneity issues arising from the possible simultaneous determination of participation in support programmes and market participation. In order to achieve proper identification of the endogenous direct payments, we use a strategy of targeted identification search that employs several different methodological approaches. We find that direct payments for fruit and vegetables, and those for cereals and oilseeds have a positive effect on market participation. However, we cannot identify any definite effect of livestock payments.     

All consuming surveillance: surveillance as marketplace icon

With consumers and their activities routinely visible through online, mobile and social media, to both their peers and to corporations, this article examines surveillance as a marketplace icon. Surveillance is central to the construction of consumers and markets. Many contemporary marketing practices are surveillant as they rely on the collection, analysis and application of consumer data to place advertising, define market segments and to nudge consumer behaviours. Consumer surveillance is also an enactment of corporate power, attempting to align individual preferences with corporate goals. The historical origins of surveillance and the emergence of the surveillance–industrial–entertainment complex are explored, which highlights how surveillance, as well as a process for defining markets is also an object of consumption. The future sees a huge struggle for consumer data between two great centres of surveillance power – the state and the corporation – as they battle over data use for national security.     

Environmental factors of food literacy in Australian high schools: views of home economics teachers

This study set out to examine environmental factors impacting on the food literacy of adolescents. It utilized data from a nation‐wide survey of home economics teachers regarding their experience of food literacy education in Australian high schools. Content analysis and the ANGELO framework were applied to analyse free‐text comments from 78 of the respondents that were collected as part of a more extensive data set. The analysis of environmental factors revealed three enablers and ten barriers that could influence food literacy education delivered by high schools in Australia. High schools are well positioned to improve adolescents’ food literacy through a comprehensive, hands‐on approach in home economics. However, many environmental barriers were reported that could influence food literacy education in Australian high schools such as: lack of teaching materials and facilities, and human resources; the perceived inadequacy of the Australian school curriculum; non‐supportive school canteens; and negative role modelling. This study points to the need to eliminate or reduce these environmental barriers impacting on the capacity for effective food literacy education in high schools to help adolescents increase their food literacy and thereby support them in making informed food choices.     

Optimal route decision with a geometric ground-airborne hybrid model under weather uncertainty

Adverse weather is the dominant cause of delays in the National Airspace System (NAS). Since the future weather condition is only predictable with a certain degree of accuracy, managing traffic in the weather-affected airspace is a challenging task. In this paper, we propose a geometric model to generate an optimal combination of ground delay and route choice to hedge against weather risk. The geometric recourse model (GRM) is a strategic Probabilistic Air Traffic Management (PATM) model that generates optimal route choice, incorporating route hedging and en-route recourse to respond to weather change: hedged routes are routes other than the nominal or the detour one, and recourse occurs when the weather restricted airspace becomes flyable and aircraft are re-routed to fly direct to the destination. Among several variations of the GRM, we focus on the hybrid Dual Recourse Model (DRM), which allows ground delay as well as route hedging and recourses, when the weather clearance time follows a uniform distribution. The formulation of the hybrid DRM involves two decision variables - ground delay and route choice - and four parameters: storm location, storm size, maximum storm duration time, and ground-airborne cost ratio. The objective function has two components: expected total ground delay cost and expected total airborne cost. We propose a solution algorithm that guarantees to find the global optimum of the hybrid-DRM. Based on the numerical analysis, we find that ground-holding is effective only when combined with the nominal route. Otherwise, it is optimal to fly on the route determined by the DRM without ground delay. We also find the formula of the threshold ground-airborne cost ratio, which we call the Critical Cost Ratio (CCR), that determines the efficacy of ground delay: the higher the CCR, the more effective the strategies involving ground delay. We conclude that both ground delay and route hedging should be considered together to produce the best ATM decisions.