New Economic Geography
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| New Economic Geography | |
|---|---|
 Abraham Ortelius · Public domain · source | |
| Name | New Economic Geography |
| Caption | Paul Krugman, Nobel laureate associated with core models |
| Founded | 1990s |
| Key people | Paul Krugman, Masahisa Fujita, Anthony Venables, Richard Baldwin, Gilles Duranton, Vernon Henderson, Andrés Rodríguez-Pose, Elhanan Helpman, Gene Grossman |
| Institutions | London School of Economics, Massachusetts Institute of Technology, Princeton University, Yale University, University of Chicago, World Bank, Organisation for Economic Co-operation and Development, National Bureau of Economic Research |
New Economic Geography is a field of spatial economic analysis that explains the emergence of regional agglomerations, urban hierarchies, and trade-driven concentration using microeconomic foundations and increasing returns. Building on industrial organization, trade theory, and urban economics, it synthesizes insights from empirical studies, general equilibrium models, and policy debates to explain patterns of spatial inequality and regional specialization.
Overview and key concepts
The literature emphasizes how transport costs, increasing returns to scale, and factor mobility create centripetal and centrifugal forces that determine location outcomes. Foundational concepts include economic agglomeration, market access, core–periphery dynamics, spatial equilibrium, and spatial sorting. Leading contributors developed models of monopolistic competition and iceberg transport costs to show how small exogenous shocks can produce large-scale agglomeration; these approaches influenced subsequent work on urban systems, regional development, and international trade. Influential debates connect work from scholars associated with institutions such as the London School of Economics, Massachusetts Institute of Technology, Princeton University, and the National Bureau of Economic Research.
Theoretical foundations and models
Canonical models integrate monopolistic competition à la Dixit–Stiglitz preferences with spatial frictions reminiscent of Alfred Weber’s location problem and Hotelling’s line model. The seminal core–periphery framework formalized how asymmetric transport costs and mobile labor generate multiple equilibria, path dependence, and hysteresis. Analysts employ general equilibrium models with endogenous firm entry, fixed setup costs, and iceberg transport costs pioneered in work by Paul Krugman and collaborators at institutions including Princeton University and Yale University. Subsequent formalisms introduce heterogeneous firms drawn from distributions inspired by Melitz model extensions and incorporate trade liberalization episodes studied by researchers at the World Bank and Organisation for Economic Co-operation and Development.
Spatial equilibrium conditions relate wages, rents, and utility levels across locations; these derive from models developed in the tradition of Alonso’s monocentric model and Muth’s urban equilibrium. Variants incorporate input–output linkages inspired by Leontief matrices and firm networks studied in work connected to Harvard University, Columbia University, and University of Chicago. Dynamic extensions build on endogenous growth literature influenced by Paul Romer and Robert Lucas Jr. to model cumulative causation in regional growth. Computational methods often draw on general equilibrium solvers developed by teams at Stanford University and technical approaches from National Bureau of Economic Research working papers.
Empirical evidence and applications
Empirical work tests predictions about agglomeration economies using microdata on firms, plants, and workers from sources linked to national statistical agencies and research centers such as U.S. Census Bureau, Eurostat, and the OECD Regional Development programs. Studies exploiting natural experiments—trade liberalizations like North American Free Trade Agreement and the Single European Act—assess shifts in industrial concentration and labour reallocation. Urban systems research applies the framework to explain city size distributions observed in datasets associated with United Nations urban population series and country-specific censuses like those of China National Bureau of Statistics and Instituto Nacional de Estadística y Geografía.
Applications span regional policy evaluation at the European Commission and development programs at the World Bank. Case studies analyze manufacturing clusters such as the Motor City complex in United States, textile districts in Lombardy and Guangdong, and high-technology agglomerations like Silicon Valley and Cambridge’s science parks. Firm-level microeconometric work links to databases curated by National Bureau of Economic Research and research groups at London School of Economics and Massachusetts Institute of Technology.
Policy implications and critiques
Policy discussions weigh spatially neutral versus place-based interventions, with debates visible in publications from OECD, European Commission, and World Bank policy units. Place-based policies promoting infrastructure, special economic zones, and innovation clusters draw on prescriptions derived from agglomeration logic. Critics argue that such interventions risk reinforcing regional divergence and capture by incumbent elites; scholars from University of Oxford and London School of Economics critique assumptions about labor mobility and market completeness. Methodological critiques highlight sensitivity to model calibration, the realism of iceberg transport costs, and the trade-off between analytical tractability and heterogeneity as raised by researchers at Harvard University and Princeton University.
Empirical critiques emphasize endogeneity concerns and measurement of agglomeration economies, prompting methods using instrumental variables, difference-in-differences, and synthetic control approaches developed in applied work at Stanford University and Columbia University.
Extensions and interdisciplinary links
Extensions connect to urban economics, economic geography, international trade, development studies, regional science, and network theory. Interdisciplinary work integrates transportation economics from MIT’s Department of Civil and Environmental Engineering, environmental economics examining urban pollution externalities studied at Yale University, and political economy analyses addressing regional voting patterns in research associated with London School of Economics and Harvard Kennedy School. Network science links with studies of supply-chain resilience relevant to Federal Reserve analyses and research programs at Massachusetts Institute of Technology’s Sloan School of Management.
Recent research incorporates firm heterogeneity, digital platforms studied at Stanford University and University of California, Berkeley, and climate change impacts analyzed by groups at Intergovernmental Panel on Climate Change and World Bank. Machine learning methods applied to geospatial data accelerate empirical testing in projects affiliated with National Bureau of Economic Research and university labs across United States, United Kingdom, China, Germany, and France.