Changes in Western Europe, the US and the Soviet Union: A Post-WWII Analysis
Gulag, WWII and the long-run patterns of Soviet city growth
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Transcript of Gulag, WWII and the long-run patterns of Soviet city growth
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Gulag, WWII and the long-run patterns of Soviet city growth
Tatiana MikhailovaMSSE, September 2012
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Questions: history of Soviet city growth• Wartime evacuation of industry = driver of city growth? • Decline of the western regions: war destruction or
policy?– Shift of population center: 1926-1959 east, 1959-1970
• Role of GULAG and forced migrations– Kulaks (1920s-1930s) – rural-to-urban migration, deportations
to (sub)urban and rural location– Ethnic deportations (1940s) – rural destinations– GULAG camps – source of labor where it was scarce• urban and rural locations
This paper: city-level data + new data on GULAG and evacuation
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Questions: spatial structure of the economy
• Exogenous shocks: are they permanent or temporary?– Natural experiments: Davis & Weinstein, 2002 (+ others);
Redding, Sturm, Wolf, 2007; Redding & Sturm, 2008
– Wartime destruction does not alter spatial economy in long run
– Changes in market access do• USSR – a different type of natural experiment– don’t destroy, create (agglomeration externalities)
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Experiment of Soviet location policy:not exogenous
• Soviet locational principles -Rodgers (1974)– be close to raw materials, minimize transport costs– equalization of regional development– defense
“…enhancement of the Soviet capability for supplying a protracted war of resources was not an accidental by-product of Soviet industrialization, but was a deliberate element in the complex of goals set out in the transition period of 1928-31.”
– M. Harrison (1990), “Stalinist Industrialisation and the Test of War”
• What was achieved?– Shift of industry to the east in 1930s? Harrison (1990),
Stone(2005): insufficient• WWII evacuation = forced implementation of existing plan
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New data - 1• GULAG – “Sistema Ispravitel’no-trudovykh uchrezhdenii…”,
Memorial, 1998– Camp location, population, years of operation, type of
industry/activity• latitude, longitude• person-years• agriculture&forestry, industry, mining, construction
(industrial, primary ind., housing, infrastructure)– Match to cities:
• Camps in 20 km, 50 km• Distance to camp
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GULAG
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GULAG as an urban phenomenon
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A majority of Gulag cities existed in 1939, some were new
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GULAG near large cities
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Distance to GULAG and city growth, 1926-1959
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New data - 2
• Wartime evacuation of industry– “Factories, Research and Design Establishments of
the Soviet Defense Industry” database, U Warwick• extract those that moved in 1941-1946 (evacuation and
back)• record: city-origin, city-destination, returned/not
– Match to cities
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Wartime evacuation
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(Not so new) data -3
Cities:
• occupied
• 30 km from frontartillery fire, evacuation
• 200 km from frontbombing, evacuation
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Simple average city size indices
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What is the role of policy vs. other factors?
• Estimate the effect of treatment, controlling for city characteristics– via individual effects in panel data (observable,
unobservable)– explicitly (matching)
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Panel estimations
• random effects– one treatment at a time– all treatments simultaneously
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City size index, as implied by separate panel estimations with city effects.
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(continued)
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City size indices, as implied by a single panel with three treatments
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Random effects are not random
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Matching
• Control for observables explicitly• Match on – pre-treatment population and growth rates– administrative status– geographical location (longitude, latitude)– simultaneous treatments
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Matching: WWII
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+ Urals, Siberia - longitudeMatching variables:
Matching: evacuation
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Matching: GULAG
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Matching: construction in GULAG
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Results:• Effect of WWII, controlling for other factors exists for <30
years– In line with Japan (Davis & Weinstein, 2002), Germany
(Brakman at al, 2004), Vietnam (Miguel & Roland, 2011)
• Wartime evacuation results in city growth, but significant for < 30 years– heterogeniety, need more research, more data
• The effect of GULAG is permanent– stronger for camps that created capital– (Redding, Sturm, Wolf, 2007): “permanent” changes are
required to switch equilibria