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The purpose of this paper is twofold. First, it wants to elaborate on the relationship between tourist generating areas and destinations per se, the principal objective being to make us better grasp the consequences for a tourist destination inherent in its relative positioning within the geographic confines of the travel hierarchy at large. Second, having identified the various types of destinations (through this spatial hierarchal schema), we will look at a case study — the tourist frontier of New Quebec — a wilderness destination environment with the purpose of arriving at a more accurate account of how such a destination has developed, how its present tourist services function, and how they link up with the region. More particularly, we want to look into the very much debated relationship commercial tourist operations — regional resource utilization — economic linkages between a few isolated, small settlements in an otherwise practically uninhabited and fairly inhospitable tourist region.

This paper wants to illustrate a development sequence of a number of interrelated elements into a strongly tied total transport mechanism for individual travelling. The example is drawn from the geographically far‐flung mechanism which serves international tourist travel and especially the relationships, more or less rigid at different periods of the evolution, of the travel system, between travel‐generating and destination areas. The interrelationships which are depicted are in the author's mind quite similar to the economic and structural regional inter‐dependence between developed (metropolitan) and developing parts of the world. Therefore, the various complaints that have been voiced about widening gaps between the haves and have nots, on an international scale, and that are based on comparisons between national incomes etc. seem also to be applicable to the characteristics of the travel structures and systems within which the international tourist flows take place. The notions of center/periphery relationships could, however, also be seen on other geographic scale levels.

Literature has numerous debates about the relation between emerging financial environmental, social, and governance (ESG) factors and financial performance with mixed results. The authors use a unique data set generated by big data analytics (from web-based data mining) for three environmental areas (water, land, and air) to test hypothesis in the extreme events (defined as those that are over/under ±2.58 multiplied by the standard deviation) have a high chance of predicting equity price movements within an window of −3/+10 days, respectively, prior to and after the event. The authors repeat the similar robustness study for a sample of 2018 and the results still holds. The authors interpret these findings to suggest that: (1) studies using continuously AI-generated data for ESG categories can have significant predictive power for extreme events; and (2) that such high correlations can be used to confirm the materiality of some ESG data. The authors conclude with noting limitation of this initial study, and present specific areas for future research.

In the past two decades mass tourism has replaced the “old‐fashioned”, more individual ways of travelling especially for vacations. In the course of this development a new travel industry system has established itself. This industry is responsible for the management and coordination of the various inputs that assist the transfers of people on volume levels that would have astounded the world less than a generation ago. This multifunctional, often supranational geographically far flung system serves tourist travelling on two distinct geographic scale levels, each one requiring different input mixes of professional and technical knowhow. (Without this system which meet and manages the needs of the modern traveller, tourist movements either interregionally or internationally, on land and sea, for a few days or weeks would slow down and almost grind to a halt.)

This paper uses a method devised by Geary and Stark to estimate regional GDPs for 24 Swedish provinces 1855–2000. In empirical tests, we find that the Swedish estimations yield results of good precision, comparable to those reported in the international literature. From the literature, we generate six expectations concerning the development of regional GDPs in Sweden. Using the GDP estimations, we test these expectations empirically. We find that the historical regional GDPs show a high correlation over time, but that the early industrialization process coevolved with a dramatic redistribution of productive capacity. We show that the regional inequalities in GDP per capita were at their lowest point in modern history in the early 1980s. However, while efficiency in the regional system has never been as equal, absolute regional differences in scale of production has increased dramatically over our investigated period. This process has especially benefited the metropolitan provinces. We present detailed sources of our estimations and also sketch a research agenda from our results.

This study aims to present a problem of noise compensation related to the localization of single-family houses in the restricted use areas (RUA) created around airports. The authors presented different methodological approaches to the valuation of such amends and characterized distinct solutions applied in that area in chosen countries and cities.

To estimate the level of those indemnities, linear models including spatial and generalized linear models, were applied. The set of explanatory variables contains quantitative and qualitative attributes of real estates. The influence of outliers indicated by means of cluster analysis on the received results were also considered.

The results show that after accounting for noise level and house characteristics, houses in noisier areas were sold for less than houses subjected to less noise. Unit prices of houses located outside the RUA were on average 17.05 per cent higher than the prices observed in zone with noise level for the daytime of 60 dB and 8.95 per cent in zone characterized by noise level for the daytime of 55 dB.

Received results can be compared with results obtained by other authors, but its most important application is possibility of use the proposed methodology by judicial appraisers to assess the proper level of noise compensation for home owners or tenants.

An identification of real estate market heterogeneity and its considering in estimation of compensation related to airport noise evidence some novelty of the research.

This special “Anbar Abstracts” issue of the Marketing Intelligence & Planning is split into nine sections covering abstracts under the following headings: Marketing Strategy; Customer Service; Sales Management/Sundry; Promotion; Marketing Research/Customer Behaviour; Product Management; Logistics and Distribution.

This paper exposes the development of markets-as-networks theory from formal inception in the mid-1970s until 2010 state-of-the-art, en route presenting its historical roots. This largely European-based theory challenges the conventional, dichotomous view of the business world as including firms and markets, arguing for the existence of relational governance structures (the so-called “interfirm cooperation”) in addition to hierarchical and transactional ones.

This special “Anbar Abstracts” issue of the International Journal of Bank Marketing is split into five sections covering abstracts under the following headings: Marketing Strategy; Customer Service; Sales and Promotion; Product Development; Information Technology Strategies.