An empirical analytical framework for agglomeration economies
By Daniel J. Graham, H. Y. Kim. 2008
110 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/8228fcf06727a490fd7e68bb78788ff809b4d2fc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Robert B. Noland
- P. Melo
- Edward J. Feser
- Daniel J. Graham
- J. Drucker
- D. Chatman
- Adelheid Holl
- J. Essletzbichler
Citations in the corpus
- Regional industrial structure and agglomeration economies: An analysis of productivity in three manufacturing industries (2012, background): “This possible location selectivity suggests that agglomeration variables may be endogenous in the production function (Hanson 2001; Henderson 2003; Graham and Kim 2008).”
- A meta-analysis of estimates of urban agglomeration economies (2009, background): “While some studies adopt a distance-unrestricted market potential measure (e.g. Graham, 2007a; Graham, 2007c; Graham and Kim, 2008), others separate the distance-unrestricted market potential function into a set of successive distance-band measures (e.g. Rice et al., 2006; Rosenthal and Strange,…”
- Variable returns to agglomeration and the effect of road traffic congestion (2007, background): “I would like to thank H. Youn Kim, Lars Rognlien, Gilles Duranton, two anonymous referees, and the journal editor for comments on a previous draft of this paper.”
- Innovation agglomeration and urban hierarchy: evidence from Chinese cities (2021, background): “It is common to measure the output by taking spatial factors such as agglomeration as a variable of production function directly (Graham and Kim 2008), and increasing returns to scale is a common assumption (Masahisa, Krugman, and Venables 2001).”