We propose and apply a new theory-consistent algorithm, which uses disaggregated inter-city trade data to identify a pyramidic city system with central places and associated hinterlands. Because central places possess more industries than the cities in their hinterlands, and because industries,...

We propose and apply a new theory-consistent algorithm, which uses disaggregated inter-city trade data to identify a pyramidic city system with central places and associated hinterlands. Because central places possess more industries than the cities in their hinterlands, and because industries,...

Large cities (central places) excessively export to smaller cities in their surrounding hinterland. Using Japanese inter-city trade data, we identify a substantial centrality bias: Shipments from central places to their hinterland are 50%-125% larger than predicted by gravity forces. This upward...

We propose and apply a new theory-consistent algorithm, which uses disaggregated inter-city trade data to identify a pyramidic city system with central places and associated hinterlands. Because central places possess more industries than the cities in their hinterlands, and because industries,...

We propose and apply a new theory-consistent algorithm, which uses disaggregated inter-city trade data to identify a pyramidic city system with central places and associated hinterlands. Because central places possess more industries than the cities in their hinterlands, and because industries,...

Large cities (central places) excessively export to smaller cities in their surrounding hinterland. Using Japanese inter-city trade data, we identify a substantial centrality bias: Shipments from central places to their hinterland are 50%-125% larger than predicted by gravity forces. This upward...