Metering motorbike mobility: informal transport in transition?

Vast numbers of people in rapidly growing cities throughout the developing world depend on informal transport services for their mobility needs. Thus far the field of transition studies has addressed the dynamics of socio-technical change in situations where regimes of automobility and sanctioned public transport constitute the dominant order, but not in contexts of cities in the developing world, where informal transit thrives. In this paper we enquire about stability and prospects for change in these kinds of socio-technical systems. To this end, we trace the evolution of Bangkok's motorcycle taxi industry including recent efforts to introduce a potentially radical innovation: an information and communications technology (ICT) platform used as a taximeter. The paper concludes that innovations in informal urban transport are opening up alternative mobility pathways for the developing world, which might even spread far beyond their original confines into the West; and that the persistence of informal transport systems and the proliferation of innovations within those systems in developing countries prove to be relevant phenomena for defining prominent topics on the agenda of (sustainability) transitions research.     

Corus集团环节、产业链上实施企业社会责任

1999年10月6日，通过英钢联和荷兰霍高文（Koninklijke Hoogovens）工程技术公司合并成立了Corus公司。截止到2005年7月，Corus公司拥有遍布世界各地的员工48100人，融合了国际性的专业技术和地区性的服务。Corus集团是一个以改革和顾客为导向的企业，为需求不断增长的金属市场提供解决方案。     

An Examination of the Determinants of In‐Flight Duty‐Free Shopping: Hedonic and Utilitarian Motivations

This research note presents the findings of a study that empirically examined air passengers' in‐flight duty‐free shopping behaviors in the perspectives of utilitarian and hedonic motivations. On the basis of the primary data collected from 212 air passengers in Taiwan, empirical findings revealed that both utilitarian and hedonic motivations affect air passengers' intentions to browse in‐flight duty‐free shopping catalogues. Findings also showed that hedonic motivation does not directly influence air passengers' in‐flight purchase intentions. Instead, a higher utilitarian motivation can directly enhance passengers' in‐flight purchase intentions. Copyright © 2012 John Wiley & Sons, Ltd.     

Modern Strategies for Time Series Regression

This paper discusses several modern approaches to regression analysis involving time series data where some of the predictor variables are also indexed by time. We discuss classical statistical approaches as well as methods that have been proposed recently in the machine learning literature. The approaches are compared and contrasted, and it will be seen that there are advantages and disadvantages to most currently available approaches. There is ample room for methodological developments in this area. The work is motivated by an application involving the prediction of water levels as a function of rainfall and other climate variables in an aquifer in eastern Australia.     

Forecast reconciliation: A geometric view with new insights on bias correction

A geometric interpretation is developed for so-called reconciliation methodologies used to forecast time series that adhere to known linear constraints. In particular, a general framework is established that nests many existing popular reconciliation methods within the class of projections. This interpretation facilitates the derivation of novel theoretical results. First, reconciliation via projection is guaranteed to improve forecast accuracy with respect to a class of loss functions based on a generalised distance metric. Second, the Minimum Trace (MinT) method minimises expected loss for this same class of loss functions. Third, the geometric interpretation provides a new proof that forecast reconciliation using projections results in unbiased forecasts, provided that the initial base forecasts are also unbiased. Approaches for dealing with biased base forecasts are proposed. An extensive empirical study of Australian tourism flows demonstrates the theoretical results of the paper and shows that bias correction prior to reconciliation outperforms alternatives that only bias-correct or only reconcile forecasts.     

Analyzing companies' interactions with the Sustainable Development Goals through network analysis: Four corporate sustainability imperatives

The alignment between corporate strategies and the Sustainable Development Goals (SDGs) can be an indicator of long-term sustainability success. But which types of companies are most, and which are least, aligned with the SDGs? This paper scores how 67 economic activities—as a proxy for companies' operations and the goods or services they deliver—interact with 59 SDG targets. It then uses network analysis to define which activities are most and least aligned with the SDG Agenda. The results reveal four types of corporate activities, each having a strategic sustainability imperative: (i) “core activities” predominantly generate positive, while having few negative, impacts on the SDGs, challenging companies to scale their contributions to further align with the SDG Agenda; (ii) “mixed activities” have moderate/high degrees of both negative/positive impacts, posing a decoupling imperative; (iii) “opposed activities” provide few benefits yet cause significant adverse impacts, implying that companies must transform in order to better align with the SDGs; and (iv) “peripheral activities” have immaterial positive and negative impacts, creating an imperative to explore innovative avenues for creating SDG contributions. Detailed network graphs are presented that map companies' interactions with the SDGs and guide the creation of corporate sustainability strategies. Policy implications include the potential for using companies' activities as a lever for adopting a “nexus approach” to the SDGs.     

Retirement Choices in Italy: What an Option Value Model Tells Us*

Using Italian data, we estimate an option value model to quantify the effect of financial incentives on retirement choices. As far as we know, this is the first empirical study to estimate the conditional multiple‐years model put forward by Stock and Wise (1990) . This implies that we account for dynamic self‐selection bias. We also present an extended version of this model in which the marginal value of leisure is random. For the female sample, the model is able to predict almost perfectly the age‐specific hazard rates. For the male sample, we obtain a good fit. Dynamic self‐selection results in a downward bias in the estimate of the marginal utility of leisure. We perform a simulation study to gauge the effects of a dramatic pension reform. Underestimation of the value of leisure translates into sizeable over‐prediction of the impact of reform. Due to lack of data, results for males should be interpreted with caution since we are not able to fully correct for dynamic self‐selection bias.