The World is not yet Flat: Transport costs matter!
Using microlevel commodity flow data and microgeographic plant-level data, we construct industry-specific ad valorem trucking rate series and measures of geographic concentration to provide evidence on the relationship between transport costs and agglomeration. We find that low-transport-cost industries display significantly more geographic concentration in the cross-sectional dimension and that falling transport costs agglomerate industries in the panel dimension. The effects are large: the fall in trucking rates between 1992 and 2008 implied a 20% increase in geographic concentration on average, all else equal.
Using the city logistic concept, we have formulated the main principals of designing of the logistic systems aimed at providing resources for city enterprises and citizens. As an assessment of the city logistic systems, there have been developed an integral criteria of effectiveness which takes into account logistic costs, SNIPS (shipped not invoiced products or services), ecological damage related to different ways of supplies and types of transportation means being used.
The purpose of paper is to investigate how the interplay of commuting and communication costs shapes economy at intra-urban level. Specifically, we study how decentralizing the production and consumption of goods in secondary employment centers allows firms located in a large city to maintain their predominance. The feature of approach is using of two-dimensional city pattern instead of the “long narrow city” model.
We derive a simple necessary and sufficient condition on preferences for the market outcome to be socially optimal under monopolistic competition with input-output (IO) linkages. Preferences that satisfy this condition are typically non-CES and display pro-competitive effects, although they converge to the CES when IO linkages become negligibly weak. We show that the equilibrium with pro-competitive effects may deliver both excess and insufficient entry of firms in equilibrium.
We document the geographic concentration patterns of Russian manufacturing using detailed microgeographic data. About 80% of three‐digit industries are significantly agglomerated, and a similar share of three‐digit industry pairs is significantly coagglomerated. Industry pairs with stronger buyer–supplier links—as measured using Russian input–output tables—tend to be slightly more coagglomerated. This result is robust to instrumental variable estimation using either Canadian or US instruments. Using Canadian ad valorem transport costs as a proxy for transport costs in Russia, we further find that industries with higher transport costs are more dispersed, and industry pairs with higher transport costs are less coagglomerated.