This topic guide provides a curated list of resources that acts as a filter to data, tools and information resources for all research that involves geo-referenced and spatial characteristics. Economic activity is closely linked to geographical characteristics, whether studied at a macro-, meso- or micro-level.
The “End of Geography” foreseen by Richard O’Brien (1992) seems nothing more than a shadow from the past. At the same time Paul Krugman’s writing that “The location of production in space is a key issue both within and between nations” is very much alive. Whether you approach geospatial characteristics, data and information from an economic, business, multi-national or data science perspective, GIS offer many opportunities for innovative research, business applications and fundamental insights in regional and multinational development.
EUR has a long-standing tradition for research in spatial economics and urban economics. Well-known EUR researchers are prof. Jan Tinbergen (publlcations), prof. Jean Paelinck and prof. Frank van Oort. Several EUR researchers are also involved in the Tinbergen Spatial Economics Research Group:
Passport Euromonitor provides access to reports, statistics and forecasts on industrial and consumer markets, searchable by country.
Why is this database relevant to Erasmus University?
- Passport Euromonitor provides insights in business dynamics, economy finance and trade, industry developments and natural resources.
- Users have access to refined analyses by geography, lifestyle themes and by date
- In addition, users can create country reports for a number of topics e.g. economic indicators, consumer trends, industries, lifestyle characteristics and retailing
- Examples of consumer products that are covered are: alcoholic drinks, apparel and footwear, beauty and personal care, consumer appliances, consumer electronics, consumer health, eye wear, fresh food, health and wellness, home and garden, home care, hot drinks, packaged food, personal accessories, pet care, soft drinks, tissue and hygiene, tobacco, toys and games.
Matlab, R and Stata provide specific spatial packages, functions and scripts to read, process and analyze geospatial data.