Mapping accessibility in Belgium: a tool for land-use and transport planning?

This paper compares the spatial structure of car accessibility to towns and to railway stations during peak and off-peak hours in Belgium for the country’s 2616 municipalities. A clustering method is applied. It is shown that in a highly urbanised country, the situation is far from being spatially equitable in terms of accessibility, and some areas are more favoured than others. Congestion increases spatial inequalities, differently according to absolute or relative measures of change. By means of examples, this paper shows that even simple accessibility indicators could be useful to support decisions taken by planners and politicians (e.g. as regards the development of residential, industrial and business park areas). Maps indicate the spatial inequalities in terms of accessibility to urban centres and transport nodes, and the impact of congestion on these inequalities. The absolute and relative time losses due to congestion affect different areas in different ways. The location of new developments further increases the congestion problem and the spatial disparities. This paper also insists on the caution that should be adopted when measuring and interpreting “accessibility”, its measurements, its inputs, its temporal changes in absolute and relative terms as well as the need for spatially disaggregated data.     

Time-Varying Leverage and Basel III: A Look at Canadian Evidence

Why did the conventional leverage indicators not pick up any meaningful signal of the mounting systemic risk before the subprime crisis? They remained almost unchanged in recent decades, whereas the banking landscape underwent a tremendous metamorphosis. Market-oriented banking is characterized by a new type of systemic risk, a risk which essentially evolves off the radar screen, i.e., off-balance sheet (OBS) (Calmès and Théoret Journal of Banking and Finance 34 (7): 1719–1728, 2010, 2011). In this article, we argue that the standard leverage indicators are not fitted to capture this kind of new banking risk. We introduce a new empirical framework which enables us to exploit the cyclical properties of elasticity leverage measures, while at the same time controlling for the noisy information they usually deliver. In a nutshell, thanks to the Kalman filter, we are able to compute optimal levels of bank leverage. This methodology delivers cyclical, forward-looking measures signalling systemic risk bubbles years before their burst. By properly accounting for all activities, including market-oriented banking, these time-varying leverage measures tend to systemically capture regulatory capital arbitrage and the OBS risk it entails.     

Toward a Model to Enhance Synergy of Out-of-Home Advertising Media Integration Strategies

ABSTRACT

For media planners to combine multiple media across platforms to maximize synergy is a critical challenge within integrated marketing communication. For this study, in-depth interviews were conducted with experienced media specialists in leading agencies to explore how they integrate different out-of-home advertising media platforms in IMC strategies. The feedback of these experts was then used to propose a model of strategies to enhance synergy within out-of-home advertising campaigns. This model is a first of its kind for planning out-of-home advertising media across platforms and bridges a gap in the existing literature on media synergy and out-of-home advertising media strategy.     

Minimum distance estimation of the spatial panel autoregressive model

This paper contributes to the interface literature of new methodological foundation of analyzing historical data with space and spatio-temporal phenomena. In particular, I consider estimating the spatial panel autoregressive model using the minimum distance estimator. Spatial autoregression has important implications for economic system that typifies correlatedness across many spatial locations and which could evolve over long span of time. To overcome computational difficulties, I suggest a two-stage estimation procedure based on minimum distance estimators. A striking feature of the proposed model is that minimum distance estimates are derived under common slopes and complete equality of parameters across spatial units. Assumption of common slopes across spatial units is an empirical and theoretical plausibility as many spatial units are observed to share common trend and typology of changes occurring to the individual system under which equality of parameters are possibilities. The estimation strategy allows various restrictions on time-varying vector parameters. Moreover, those restrictions can easily be tested. I apply this procedure to the residential demand for water of 115 French municipalities over the biannual period 1988–1993. The primary contribution of the paper is to the methodological side of cliometrics while the empirical application (with shorter time period) has been presented for illustrative purpose although, it can nonetheless be readily applied to historical data with long-time horizon allowing for restrictions such as spatio-temporal common vector and structural break in parameter estimates.

Simple and Painless? The Limitations of Spillover in Environmental Campaigning

The comfortable perception that global environmental challenges can be met through marginal lifestyle changes no longer bears scrutiny. The cumulative impact of large numbers of individuals making marginal improvements in their environmental impact will be a marginal collective improvement in environmental impact. Yet, we live at a time when we need urgent and ambitious changes. An appeal to environmental imperatives is more likely to lead to spillover into other pro-environmental behaviours than an appeal to financial self-interest or social status.