Is urbanization good for the environment? This paper establishes a simple core-periphery model with monocentric cities, which comprises key forces that shape the structure and interrelation of cities to study the impact of the urban evolution on the environment. We focus on global warming and the potential of unfettered market forces to economize on emissions. The model parameters are chosen to match the dichotomy between average "large" and "small" cities in the urban geography of the United States, and the sectoral greenhouse gas emissions recorded for the United States. Based on numerical analyzes we find that a forced switch to a system with equally sized cities reduces total emissions. Second, any city driver which pronounces the asymmetry between the core and the periphery drives up emissions in the total city system, too, and the endogenous adjustment of the urban system accounts for the bulk of the change in emissions.Third, none of the city drivers gives rise to an urban environmental Kuznets curve according to our numerical simulations. Finally, the welfare-maximizing allocation tends to involve dispersion of cities and the more so the higher is the marginal damage from pollution. Duranton and Puga (2014) point out that "…in reality there is no one extremely large city but instead multiple cities of finite population…." 4 This first point was forcefully made in a seminal paper by Gaigné, Riou, and Thisse (2012). 5 A voluminous city systems literature highlights alternative agglomeration mechanisms from which we abstract. See Desmet and Henderson (2015) for a useful survey of the various generations of these models. 6This second point is inspired by Taylor (2003, 2004) who addressed the nexus between free trade and the environment and who highlighted factor proportions as key drivers of per capita incomes and pollution. 7 This sets our analysis apart both from the tradition of computable general equilibrium analysis and from the recently developed "new quantitative spatial models" which allow for a large number of locations, arbitrary geographies (trade costs) and which highlight the interplay between location fundamentals (amenities) and constrained agglomeration forces so as to prevent endogenous agglomeration which we allow for. See Redding and Rossi-Hansberg (2017) for a survey of the new quantitative spatial models. 8 Of course, this simplifies the distribution of city sizes found in practice which are typically found to follow log-normal and/or Pareto distributions (e.g., Duranton & Puga 2014). BORCK AND PFLÜGER | 745
SUPPORTING INFORMATIONAdditional supporting information may be found online in the Supporting Information section at the end of the article.How to cite this article: Borck R, Pflüger M. Green cities? Urbanization, trade, and the environment.