IDEAS home Printed from https://ideas.repec.org/a/ris/apltrx/0485.html
   My bibliography  Save this article

Estimating the effect of Russia’s development policy in the Far Eastern region: The synthetic control approach

Author

Listed:
  • Goryunov, Alexander

    (Eastern State Planning Center, Khabarovsk, Russia;)

  • Ageshina, Elena

    (Eastern State Planning Center, Khabarovsk, Russia;)

  • Lavrentev, Igor

    (Eastern State Planning Center, Khabarovsk, Russia;)

  • Peretyatko, Polina

    (Eastern State Planning Center, Khabarovsk, Russia;)

Abstract

In 2014 Russian government enacted an ambitious policy of the “accelerated development” of the Far East. A number of special legal provisions, tax incentives and investment programs have been introduced as part of that policy. Several studies have since attempted to estimate the impact of the policy on the region’s economy using intertemporal or interregional comparisons of outcomes, with most studies finding there to be no significant impact. We use the synthetic control method to arrive at a quantitative estimate of the policy’s effect on the real per capita GRP of the Far East in 2014–2019. Using a pool of 59 regions to construct a counterfactual baseline and controlling for the overall level of higher education, share of the raw materials industry, share of investment in GRP and the share of working age population, we estimate that the policy had resulted in the creation of around 93 billion rubles of additional GRP in the Far East during 2014–2019. We also propose a procedure for estimating the statistical significance of the result in the case when Fischer’s Exact Test, which is normally used with synthetic controls, is not applicable due to the composition of the treated object. Using our proposed procedure, we find that our estimate of the policy’s effect is statistically significant at the 5% level.

Suggested Citation

  • Goryunov, Alexander & Ageshina, Elena & Lavrentev, Igor & Peretyatko, Polina, 2023. "Estimating the effect of Russia’s development policy in the Far Eastern region: The synthetic control approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 72, pages 58-72.
    • Handle: RePEc:ris:apltrx:0485
    as

    Download full text from publisher

    File URL: http://pe.cemi.rssi.ru/pe_2023_72_058-072.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alberto Abadie & Alexis Diamond & Jens Hainmueller, 2015. "Comparative Politics and the Synthetic Control Method," American Journal of Political Science, John Wiley & Sons, vol. 59(2), pages 495-510, February.
    2. Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
    3. Natalia Valentinovna Lomakina, 2020. "State Incentivizing of Investment Activity in the Resource Region: Far East of Russia Variant," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 4, pages 68-90.
    4. Abel Gezevich Aganbegyan, 2019. "Development of the Far East: A National Program in the Context of National Projects," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 3, pages 165-181.
    5. Artyom Gennadyevich Isaev, 2020. "Social Efficiency Indicators of Public Investment: The Case of the Far Eastern Regions," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 4, pages 23-43.
    6. Pavel Aleksandrovich Minakir, 2020. "Political Value of Expectations in Economy," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 3, pages 7-23.
    7. Firpo Sergio & Possebom Vitor, 2018. "Synthetic Control Method: Inference, Sensitivity Analysis and Confidence Sets," Journal of Causal Inference, De Gruyter, vol. 6(2), pages 1-26, September.
    8. Alberto Abadie, 2021. "Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects," Journal of Economic Literature, American Economic Association, vol. 59(2), pages 391-425, June.
    9. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    10. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881.
    11. King, Gary & Zeng, Langche, 2006. "The Dangers of Extreme Counterfactuals," Political Analysis, Cambridge University Press, vol. 14(2), pages 131-159, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dennis Shen & Peng Ding & Jasjeet Sekhon & Bin Yu, 2022. "Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel Data," Papers 2207.14481, arXiv.org, revised Oct 2022.
    2. Thomas Barnebeck Andersen, 2023. "The Cost of a Currency Peg during the Great Recession," Open Economies Review, Springer, vol. 34(2), pages 255-279, April.
    3. Bruno Ferman & Cristine Pinto & Vitor Possebom, 2020. "Cherry Picking with Synthetic Controls," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 510-532, March.
    4. Maximiliano Marzetti & Rok Spruk, 2023. "Long-Term Economic Effects of Populist Legal Reforms: Evidence from Argentina," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 65(1), pages 60-95, March.
    5. Gabriel, Ricardo Duque & Pessoa, Ana Sofia, 2020. "Adopting the Euro: a synthetic control approach," MPRA Paper 99391, University Library of Munich, Germany.
    6. Giulio Grossi & Marco Mariani & Alessandra Mattei & Patrizia Lattarulo & Ozge Oner, 2020. "Direct and spillover effects of a new tramway line on the commercial vitality of peripheral streets. A synthetic-control approach," Papers 2004.05027, arXiv.org, revised Nov 2023.
    7. Billy Ferguson & Brad Ross, 2020. "Assessing the Sensitivity of Synthetic Control Treatment Effect Estimates to Misspecification Error," Papers 2012.15367, arXiv.org, revised Feb 2021.
    8. David Gilchrist & Thomas Emery & Nuno Garoupa & Rok Spruk, 2023. "Synthetic Control Method: A tool for comparative case studies in economic history," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 409-445, April.
    9. Nadine McCloud, 2022. "Does domestic investment respond to inflation targeting? A synthetic control investigation," International Economics, CEPII research center, issue 169, pages 98-134.
    10. Roy Cerqueti & Raffaella Coppier & Alessandro Girardi & Marco Ventura, 2022. "The sooner the better: lives saved by the lockdown during the COVID-19 outbreak. The case of Italy [Using synthetic controls: Feasibility, data requirements, and methodological aspects]," The Econometrics Journal, Royal Economic Society, vol. 25(1), pages 46-70.
    11. Dennis Shen & Peng Ding & Jasjeet Sekhon & Bin Yu, 2023. "Same Root Different Leaves: Time Series and Cross‐Sectional Methods in Panel Data," Econometrica, Econometric Society, vol. 91(6), pages 2125-2154, November.
    12. Enzo Brox & Riccardo Di Francesco, 2024. "The Cost of Coming Out," Papers 2403.03649, arXiv.org.
    13. Pier Basaglia & Sophie Behr & Moritz A. Drupp, 2023. "De-Fueling Externalities: How Tax Salience and Fuel Substitution Mediate Climate and Health Benefits," Discussion Papers of DIW Berlin 2041, DIW Berlin, German Institute for Economic Research.
    14. Demirci, Murat, 2023. "Youth responses to political populism: Education abroad as a step toward emigration," Journal of Comparative Economics, Elsevier, vol. 51(2), pages 653-673.
    15. Ignacio Martinez & Jaume Vives-i-Bastida, 2022. "Bayesian and Frequentist Inference for Synthetic Controls," Papers 2206.01779, arXiv.org, revised Feb 2023.
    16. Dmitry Arkhangelsky & Susan Athey & David A. Hirshberg & Guido W. Imbens & Stefan Wager, 2021. "Synthetic Difference-in-Differences," American Economic Review, American Economic Association, vol. 111(12), pages 4088-4118, December.
    17. Keller, Michael, 2022. "Oil revenues vs domestic taxation: Deeper insights into the crowding-out effect," Resources Policy, Elsevier, vol. 76(C).
    18. Matej Opatrny, 2021. "The impact of the Brexit vote on UK financial markets: a synthetic control method approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(2), pages 559-587, May.
    19. Pier Basaglia & Sophie M. Behr & Moritz A. Drupp, 2023. "De-Fueling Externalities: Causal Effects of Fuel Taxation and Mediating Mechanisms for Reducing Climate and Pollution Costs," CESifo Working Paper Series 10508, CESifo.
    20. Chiara Natalie Focacci & Mitja Kovac & Rok Spruk, 2022. "The perils of Kremlin's influence: evidence from Ukraine," Papers 2206.04950, arXiv.org.

    More about this item

    Keywords

    preferential regimes; economic incentives; tax breaks; regional development; synthetic controls.;
    All these keywords.

    JEL classification:

    • H39 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Other
    • H59 - Public Economics - - National Government Expenditures and Related Policies - - - Other

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ris:apltrx:0485. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Anatoly Peresetsky (email available below). General contact details of provider: http://appliedeconometrics.cemi.rssi.ru/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.