Why are the east sides of formerly industrial cities often the more deprived? Using individual-level census data together with newly created historical pollution patterns derived from the locations of 5,000 industrial chimneys and an atmospheric model, we show that this results from the persistence of neighborhood sorting that first emerged during the Industrial Revolution when prevailing winds blew pollution eastwards. Past pollution explains up to 20% of the observed neighborhood segregation in 2011, even though coal pollution stopped in the 1970s. A quantitative model identifies the role of non-linearities and tipping-like dynamics underlying this persistence.

We present a survey of the finance-growth nexus that raises a number of qualifications to the standard interpretation. We investigate doubts regarding empirical consensus and we consider the prevalence of crosssection econometrics as dominant in shaping the present theoretical consensus. The core implications of many finance and growth theories are shown to be disconnected not only from their modern empirical counterparts, but also from the historical literature.

Using the framework of Desmet and Rossi-Hansberg (forthcoming), we present a model of spatial takeoff that is calibrated using spatially-disaggregated occupational data for England in c.1710. The model predicts changes in the spatial distribution of agricultural and manufacturing employment which match data for c.1817 and 1861. The model also matches a number of aggregate changes that characterise the first industrial revolution. Using counterfactual geographical distributions, we show that the initial concentration of productivity can matter for whether and when an industrial takeoff occurs. Subsidies to innovation in either sector can bring forward the date of takeoff while subsidies to the use of land by manufacturing firms can significantly delay a takeoff because it decreases spatial concentration of activity.JEL Classifications: O11; O18; O33; N13; N93; R12.

We establish a causal role for banking access in the spread of the Industrial Revolution over the period 1817–1881 by exploiting unique employment data from 10,528 parishes across England and Wales and a novel instrument. We estimate that a one standard deviation increase in 1817 finance employment increases annualized industrial employment growth by 0.93 percentage points. We establish the role of structural transformation as an underlying growth mechanism and show that banking access: (i) increases the industrial employment share; (ii) stimulates urbanization; and (iii) fosters inter-industry transition to high TFP, intermediate and capital-intensive sub-sectors.

That financial matters did not constrain industrial takeoff in the UK is generally accepted in the historical literature; in contrast, contemporary empirical analyses have found evidence that financial development can be a causal determinant of economic growth. We look to reconcile these findings by concentrating on a particular aspect of industrialising UK where inefficiencies in finance could have had bite: The finance of physical infrastructures. We document the historical record and develop the importance of spatial disaggregation and spillovers in both technological and financial development. We develop a simple model that captures the nature of infrastructure finance within a theory of endogenous growth where financial costs are endogenous. We argue that the conception of the finance-growth nexus as a largely static, aggregative phenomenon misses out a good deal of complexity and we relate that complexity to a number of implications for regulation of both financial systems and the emergence of infrastructures. JEL Classification: O11, O16, O40, N23