My style,my food,my waste! Consumer food waste-related lifestyle segments

Adapting responsible food marketing practices to different customer types can make a valuable contribution to reducing food waste. The current study investigated the relation between food (waste)-related lifestyle patterns and self-reported food waste, choices for suboptimal food, and food waste awareness using a survey with 4214 consumers across five Northern and Western European countries. Results show differences in food wastage, suboptimal choices, and awareness for five clusters of consumers identified on the basis of food (waste)-related lifestyle patterns. Findings of commonalities allow deriving food marketing actions targeted to these different consumer lifestyles.     

Optimal targeting of latent tourism demand segments

This paper identifies for the first time the optimal target markets employing the latent tourism demand expenditure, a novel concept in tourism literature. The study quantifies latent tourism demand between each pair of origin-destination through distinguishing by type of tourism and seasonality. It works with market shares that are estimated via a fractional regression model. Moreover, latent demand is clustered using a market segmentation approach based on a latent class regression. Finally, the optimal target markets are chosen depending on the expected latent tourism expenditure. The result has clear policy implications in terms of which markets are promoted, the optimal channels of communication and the maximum budget for each marketing campaign.     

Residents' place image: a cluster analysis and its links to place attachment and support for tourism

While there is a plethora of studies segmenting the lucrative tourism market, limited attention has been given to identifying potential segments of local residents based on their image of the place they live in as a tourist destination. This study aims to address this gap by (a) clustering local residents of a tourist destination based on their images of that place; and (b) identifying whether those image-based resident groups share similar/different levels of place attachment and intentions toward tourism (support for tourism, intention to recommend it to others). Analysis was based on a sample of 368 residents of Eilat, Israel. The findings suggest the presence of three resident groups with different images of Eilat – called Nature Aesthete, Appreciator, and Critical – and provide support that these groups exhibit dissimilar levels of attachment and intentions/behavior toward tourism. The Appreciator (residents with the most favorable image) were reported exhibiting higher levels of place attachment, support for tourism and were more likely to recommend their place to others as a tourist destination than the Critical (residents with the least favorable image). The implications of these findings to tourism theory and practice are discussed.     

A Novel Compact Cat Swarm Optimization Based on Differential Method

ABSTRACT

A compact cat swarm optimization scheme (cCSO) is proposed in this paper, which is designed to solve application domains plagued with limited memory and less-computation power, as a member of cat swarm optimization algorithms (CSO), it composes of two sub-modes, i.e., tracing and seeking modes, so it keeps the same search logic of CSO. On the other hand, cCSO inherits the main feature of compact algorithms, a normal probabilistic model is used to represent the population of solutions instead of processing an actual population, which ensures the cCSO to have the modest memory requirement. The updating vector for the probabilistic model provides a clear moving direction for cats in next step. A cat without historical position and velocity is applied in the algorithm. When the cat is in seeking mode, it employs a differential operator to update the cat’s position, which makes it possible for the cat to have multiple searching directions. Experimental results show that cCSO has pretty performance compared with respect to some population-based testing benchmarks. And it also shows superior performance in convergence rate to some compact optimization algorithms. The case study of gray image segmentation proves that it suits for solving the optimization problem by limited hardware.     

市场分割与区域创新溢出

通过估算2001—2016年29个省区市的市场分割指数,结合区域创新指数和区域经济特征数据,采用空间计量方法研究了市场分割对地区创新绩效的直接影响与间接影响。研究结果表明,整体上,区域技术创新存在显著的空间正相关关系,省份内市场分割的直接效应、省份间市场分割的间接效应以及两者的总效应对区域创新均表现出显著的抑制作用,并且本地市场分割对创新指数提升的抑制作用大于省份间市场分割的间接作用。     

一种商业银行客户分割的多维方法——基于客户期望收益和态度的分割模型

客户分割与资源分配是企业一直在努力解决的问题,但目前,空前巨大的客户数据量使得准确进行市场细分和寻找目标市场变得复杂和难以有效实施。通过数据挖掘技术从大型数据库中抽取隐藏的预测信息,利用层次聚类分析建立了一个根据客户的多个态度维度进行客户分割的多维方法。结果表明,以这一方式产生的聚类在同质性较好并且通过参考人口学特征的差别能够获得客户细分市场的轮廓。此外,识别了四个有特色的、表明对信息服务和技术有特殊偏好的客户群。     

Segmented asset markets and optimal exchange rate regimes

This paper revisits the issue of the optimal exchange rate regime in a flexible price environment. The key innovation is that we analyze this question in the context of environments where only a fraction of agents participate in asset market transactions (i.e., asset markets are segmented). Under this friction alternative exchange rate regimes have different implications for real allocations in the economy. In the context of this environment we show that flexible exchange rates are optimal under monetary shocks and fixed exchange rates are optimal under real shocks.     

Unpacking the interplay between organisational factors and the economic environment in the creation of consumer vulnerability

ABSTRACT

Access to credit is a key enabler of modern life. Yet many consumers face factors beyond their control which sometimes render them unable to borrow from mainstream lenders. This paper documents how firm-related factors determine lending thresholds and shape who is, or is not, a creditworthy customer. The impact of the 2008 economic recession on lending decisions is explored, an aspect that has been insufficiently discussed even though recessions are cyclical events. Drawing on semiotics and using multiple case studies, the study captures not only the groups that were excluded but also the reasons for exclusion. Empirical support is offered for the notion of vulnerability as a fluid state and the role of the timing of decisions as a source of vulnerability is described.     

基于AHP的航空货运客户价值细分方法研究

在资源有限的条件下,企业必须将资源投放到那些有利可图的客户上,因此有必要进行客户细分,对于处在激烈竞争环境中的航空货运尤其如此。本文借鉴客户价值细分理论,以客户的当前价值和增值价值为细分依据,提出基于层次分析法的航空货运客户价值细分方法。     

要素市场分割对货币政策区域产出效应的影响——基于全国省际静态面板数据的实证研究

在区域经济结构改革的背景下，要素资源的不完全流通性加剧了货币政策区域非对称性。本文使用2003-2015年省际面板数据回归分析要素市场分割对我国货币政策区域产出效应的影响，认为要素市场分割对我国货币政策产出效应产生了抵消作用。而后对比东中西部地区抵消效应发现：在扩张性货币政策条件下，资本品需求规模和收益率更高，劳动力市场更加活跃、再配置空间更大的东部地区，要素市场分割对货币政策效应的抵消作用更大。