Data and Code for: The long-run effects of R&D place-based policies: Evidence from Russian Science Cities
Principal Investigator(s): View help for Principal Investigator(s) Helena Schweiger, EBRD; Alexander Stepanov, EBRD; Paolo Zacchia, CERGE-EI
Version: View help for Version V1
Name | File Type | Size | Last Modified |
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reconstruction_replication_package | 08/24/2021 12:44:PM |
Project Citation:
Schweiger, Helena, Stepanov, Alexander , and Zacchia, Paolo. Data and Code for: The long-run effects of R&D place-based policies: Evidence from Russian Science Cities. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-07-26. https://doi.org/10.3886/E140861V1
Project Description
Summary:
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This is the publicly available data and code accompanying the article.
Abstract: 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.
Abstract: 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.
Funding Sources:
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None
Scope of Project
Subject Terms:
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Science Cities;
Place-based policies;
Agglomeration;
Russia
JEL Classification:
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N94 Regional and Urban History: Europe: 1913-
O38 Technological Change: Government Policy
P25 Socialist Systems and Transitional Economies: Urban, Rural, and Regional Economics
R58 Regional Development Planning and Policy
N94 Regional and Urban History: Europe: 1913-
O38 Technological Change: Government Policy
P25 Socialist Systems and Transitional Economies: Urban, Rural, and Regional Economics
R58 Regional Development Planning and Policy
Geographic Coverage:
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Russia
Universe:
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Russian municipalities
Data Type(s):
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administrative records data;
census/enumeration data;
geographic information system (GIS) data;
program source code
Collection Notes:
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Please see the README.pdf file for details of data collection.
Methodology
Response Rate:
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Not applicable
Sampling:
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Not applicable
Data Source:
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Various, see README.pdf and Online Appendix B for details.
Collection Mode(s):
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other
Scales:
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Not applicable.
Weights:
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Not applicable
Unit(s) of Observation:
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Russian municipalities
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