TY - CHAP
T1 - The Benefits and Costs of Agglomeration
T2 - Insights from Economics and Complexity
AU - Gomez-Lievano, Andres
AU - Fragkias, Michail
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - There are many benefits and costs that come from people and firms clustering together in space. Agglomeration economies, in particular, are the manifestation of centripetal forces that make larger cities disproportionately more wealthy than smaller cities, pulling together individuals and firms in close physical proximity. Measuring agglomeration economies, however, is not easy, and the identification of its causes is still debated. Such association of productivity with size can arise from interactions that are facilitated by cities (“positive externalities”), but also from more productive individuals moving in and sorting into large cities (“self-sorting”). Under certain circumstances, even pure randomness can generate increasing returns to scale. In this chapter, we discuss some of the empirical observations, models, measurement challenges, and open question associated with the phenomenon of agglomeration economies. Furthermore, we discuss the implications of urban complexity theory, and in particular urban scaling, for the literature in agglomeration economies.
AB - There are many benefits and costs that come from people and firms clustering together in space. Agglomeration economies, in particular, are the manifestation of centripetal forces that make larger cities disproportionately more wealthy than smaller cities, pulling together individuals and firms in close physical proximity. Measuring agglomeration economies, however, is not easy, and the identification of its causes is still debated. Such association of productivity with size can arise from interactions that are facilitated by cities (“positive externalities”), but also from more productive individuals moving in and sorting into large cities (“self-sorting”). Under certain circumstances, even pure randomness can generate increasing returns to scale. In this chapter, we discuss some of the empirical observations, models, measurement challenges, and open question associated with the phenomenon of agglomeration economies. Furthermore, we discuss the implications of urban complexity theory, and in particular urban scaling, for the literature in agglomeration economies.
UR - https://www.scopus.com/pages/publications/105010974399
U2 - 10.1007/978-3-031-82666-5_3
DO - 10.1007/978-3-031-82666-5_3
M3 - Chapter
AN - SCOPUS:105010974399
T3 - Understanding Complex Systems
SP - 43
EP - 74
BT - Understanding Complex Systems
PB - Springer Science and Business Media Deutschland GmbH
ER -