The impact of Temporary Events on Spatial Concentration of Population:

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The impact of Temporary Events on Spatial Concentration of Population: Evidence from a large-scale resettlement Aki Kangasharju GOVERNMENT INSTITUTE FOR ECONOMIC RESEARCH (VATT)

Is the current regional structure in Greenland the only sustainable? Can temporary events (policy interventions) have permanent effects? If no, the current structure is the only sustainable without permanent interventions If yes, there is room for regional policy objectives Economic theory provides three alternatives Fundamentals Random growth Increasing returns to scale and/or externatilities Large temporary shocks may reveal existence of multiple equilibria A test for the Fundamentals -story against the alternatives (done here) can also be used to distinguish between the Random growth and Increasing returns stories (not done yet) The evidence is scarce and mixed Therefore a Finnish study Also our experiment has promising features from a researcher s point of view 2

A short review 1 Japan and Vietnam Davis and Weinstein (2002) Allied bombings in the WWII affected the relative city sizes for less than 20 years in Japan Davis and Weinstein (2004) Even specific industies mainly relocated back to their original sites in Japan Miguel and Roland (2005) US bombings had only temporary effects on the relative city sizes in Vietnam => One Equilibrium (Fundamentals) 3

Germany Brakman et al. (2004) A short review 2 Allied bombings in the WWII had only temporary effects on relative city sizes in West-Germany (but permanent effects in the East) Bosker et al. (2006 and 2007) Allied bombings had permanent effects on the relative city sizes in West- Germany Bosker s analysis is more advanced than that of Brakman s Japan is a montanious country with few alternatives for good locations =>Multiple equilibria? (Random growth / IRS) 4

Krugman s (1991) model S S b1 b2 0 1 5

the Finnish case Regional development in rural Finland after the resettlement of Karelian farmers at the end of WWII Total number of evacuees was 430 000 (11 % of the Finnish population) Most of them Karelians Most of them farmers (more than 50 % of Karelians and Finns were farmers) Finland is a sparcely populated country Room for alternative locations Rural areas Role of increasing returns and externalities smaller in agriculture relative to manufacturing. A positive shock No proxies for reconstruction subsidies No reconstruction or going back to old places 6

Per capita GDP (PPP) by region in Europe, 1960, EU15=100 7

Petsamo Ceded areas 1944 (and per capita income, 1938) Salla Karelia 8

Cultivated land and land reclamation Resettlement Plan From the state, municipalities, firms, the church, land speculators and landowners not practicing farming 90 % of the tilled land was privately owed Farms with at least 15 hectares of agricultural land had to provide some land. The larges farms had to yield up to 60 % of their pre-war land area. The amount of land available for displaced farmers in a given area: pre-war farm size distribution the amount of land owned by the public sector. No Karelians were relocated to Lapland or the Swedish speaking municipalities 9

Proportion of all evacuees relative to population in municipality, 1948 Karelian farmers were not resettled in cities or market towns, Lapland or coastal municipalities in Western Finland 10

Proportion of all evacuees in five equal sized groups of municipalities, 1948 0.1.2.3.4 1 2 3 4 5 11

Population index by municipal category, all rural municipalities Väestöindeksin mediaani, maaseutu 1.4 1.3 1.2 1.1 1 0.9 0.8 0.7 1880 1890 1900 1910 1920 1930 1940 1950 1960 1970 luokka 1 luokka 2 luokka 3 luokka 4 luokka 5 kaikki, med 12

Estimated equation for rural municipalities excluding Lapland and Sweadish speaking areas [ ] s s = α s s + + β + Z δ + error i1948 t i1948 i1948 i1939 0 i i Where s = log of population share i = municipality β = a constant Z = control variables (pre-war characteristics and geographical variables) 13

Hypotheses α = 0, random walk, permanent effect α = -1, full reversion, no effect s 1948+t -s 1938 b1 b2 s 1948 -s 1938 14

Pre-war characteristics Z variables Change in log population share 1930-1938, pre-war mean per capita taxable income in 1936-1939, share of labour force in agriculture in 1939, share of population in manufacturing in 1939. Geographical variables Adjacent neighbor of a city or market town Longitude, latitude, longitude*latitude, distance from Helsinki 15

Instrument One potential instrument: Resettlement Plan Two concerns: past shocks: the government may have favoured some areas over the others Future shocks: expectations of the future population growth Used instrument: agricultural land available 16

First stage: endogenous variable is the war time growth in population share (1) (2) (3) Available cultivated land 0.17 0.12 0.21 (0.03) (0.03) (0.04) Controlling for: Pre-War Municipality Characteristic no yes yes Geography no no yes Robust F-stat 31.4 13.1 26.6 Partial R 2 0.09 0.05 0.11 Note: First-stage coefficient for the instrument (robust standard errors in parenthesis) 17

Results Dependent variable: Change in log population share between 1948 and 1960 1970 1980 1990 2000 Controlling for Pre-War Municipality Characteristics and Geography Coefficient α -0.08 0.20 0.60 0.68 1.03 Robust sd. (0.19) (0.31) (0.47) (0.55) (0.63) H 0 : α = 0 (random walk) 0.666 0.488 0.158 0.173 0.070 H 0 : α = -1 (full reversion) 0.001 0.001 0.001 0.002 0.001 Japan, 1948-1960: α=-0.76 Japan, 1948-1965: α=-1.03 West-Germany, 1948-1963: α=-0.53 West-Germany, 1948-1967: α=+0.03 18

Conclusion We strongly reject the hypothesis of reversion to the pre-war distribution. the size distribution of rural municipalities in Finland does not have only one equilibrium. A case for regional policy Random growth or increasing returns? Note Rural municipalities (IRS?; technological progress since the wars) Sparcely populated country (room for alternatives) A postitive shock (no going back to old places) We also find that municipalities would even have benefited from the resettlement (α tends to grow over time, as in the Japanese case). 19