Industrial Clusters in the Long Run: Evidence from Million-Rouble Plants in China

Heblich, Stephan; Seror, Marlon; Xu, Hao; Zylberberg, Yanos

doi:10.2139/ssrn.3422265

Cited by 3 publications

(2 citation statements)

References 38 publications

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“…The findings documented in this section may seem at odd with those reported by Heblich et al (2020), that by comparing counties where the 156 Projects were located with counties suitable to host them but that were not selected, find that the former had a significant productivity advantage that was fully eroded during the 1990s due to overspecialization and reduced innovation. However, we compare firms and counties that were selected to be part of the 156 Projects and eventually received different types of Soviet transfers or did not.…”

Section: The Role Of Institutional Reformscontrasting

confidence: 65%

“…Our setting allows us to disentangle the spillover effects of technology transfer from knowledge spillovers that follow know-how diffusion, and their interactions with major institutional changes. In terms of context, a closely related paper is Heblich et al (2020) that also studies the Sino-Soviet technology transfer. However, they focus on long-run negative spillovers of the 156 Projects on counties that hosted them, relative to counties suitable to host them that were eventually not selected.…”

Section: Introductionmentioning

confidence: 99%

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Technology Transfer and Early Industrial Development: Evidence from the Sino-Soviet Alliance

Giorcelli

2021

SSRN Journal

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Section: The Role Of Institutional Reformscontrasting

confidence: 65%

Section: Introductionmentioning

confidence: 99%

Technology Transfer and Early Industrial Development: Evidence from the Sino-Soviet Alliance

Giorcelli

2021

SSRN Journal

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War Reparations, Structural Change, and Intergenerational Mobility

Mitrunen

2024

The Quarterly Journal of Economics

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From 1944 to 1952, largely agrarian Finland had to export, on average, 4% of its yearly GDP in industrial products to the Soviet Union as war reparations. To meet the reparation demands, the Finnish state needed to provide extensive but temporary support to Soviet-assigned industries with insufficient production capacity. This paper documents the long-term impacts of this extensive and temporary industrial policy on industrial and local development and on individual outcomes. Using newly digitized datasets, I show in a difference-in-differences setup that the short-term nonmarket production persistently and significantly increased the employment and production of the manufacturing industries exposed to the policy. These industries plausibly benefited from large initial investments and exposure to export markets associated with the war reparations. The episode further led to local development and structural change, as the more exposed regions became persistently more industrialized. I substantiate these within-Finland results with triple-difference setups employing comparable Norwegian data. I further use Finnish administrative data to study the long-term individual impacts of the episode. Tracking individuals over 30 years, I show that the initial state investments and the persistent change in the local industrial structure increased long-term incomes, led to more educational attainment, and promoted the upward mobility of children and young adults living in the more exposed regions prior to the war reparations period. The observed effects are driven by the more advanced heavy industry, which received the majority of state assistance.

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The Long-Run Effects of R&D Place-Based Policies: Evidence from Russian Science Cities

Schweiger

Stepanov

Zacchia

2022

American Economic Journal: Economic Policy

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We study the long-run effects of historical place-based R&D policies: the creation of Science Cities in Soviet Russia. We compare current demographic and economic characteristics of Science Cities with those of localities that were similar to them at the time of their establishment. We find that in present-day Russia, Science Cities are more innovative and productive, host more highly skilled workers, and pay them higher salaries. We interpret these findings as the result of the interaction between persistence and agglomeration forces; we rule out explanations related to the differential use of public resources. (JEL J31, J44, O33, O38, P25, R23, R58)

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Industrial Clusters in the Long Run: Evidence from Million-Rouble Plants in China

Cited by 3 publications

References 38 publications

Technology Transfer and Early Industrial Development: Evidence from the Sino-Soviet Alliance

Technology Transfer and Early Industrial Development: Evidence from the Sino-Soviet Alliance

War Reparations, Structural Change, and Intergenerational Mobility

The Long-Run Effects of R&D Place-Based Policies: Evidence from Russian Science Cities

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