We develop a method for empirically measuring the difference in carbon footprint between traditional and online retailing (“e-tailing”) from entry point to a geographical area to consumer residence. The method only requires data on the locations of brick-and-mortar stores, online delivery...

In this paper, the p-median model is used to find the location of retail stores that minimizes CO2 emissions from consumer travel. The optimal location is then compared with the existing retail location, and the excess CO2 emissions compared with the optimal solution is calculated. The results...

Applying microeconomic theory, we develop a forecasting model for firm entry into local markets and test this model using data from the Swedish wholesale industry. The empirical analysis is based on directly estimating the profit function of wholesale firms. As in previous entry studies, profits...

Entry of firms into local markets has often been studied using administrative areas such as municipalities as the assumed relevant markets to study. However, administrative areas and the actual relevant markets based on local demand for firms’ products often need not coincide, which could bias...

The p-median model is used to locate P facilities to serve a geographically distributed population. Conventionally, it is assumed that the population always travels to the nearest facility. Drezner and Drezner (2006, 2007) re-estate three arguments on why this assumption might be incorrect, and...

In the entry literature, researchers sometimes use revenues as a proxy for profits because this is the only data available. Doing so could seriously bias the results.

To manage increased competition cooperation between stakeholders has become more important. Retailer’s role is well researched. Property owner’s role is not well researched. The aim is to analyse different stakeholder’s erceptions of what property owners contribute with and could...

Rural retailers in Sweden are currently in need of new strategies in order to meet the increasing competition from urban shopping centers and increased customer mobility. This study examines the how events can influence local retail survival in rural areas. In interviews, local stakeholders...

Gibrat’s Law predicts that firm growth is a purely random effect and therefore should be independent of firm size. The purpose of this paper is to test Gibrat’s law within the retail industry, using a novel data-set comprising all Swedish limited liability companies active at some point...

This paper analyzes the determinants of firm migration in the Swedish wholesale trade sector using a unique dataset covering over 10,000 Swedish wholesale trade firms during the years 2000 – 2004. The results indicate that there are negative correlations between profits, firm age, and firm...