IDEAS home Printed from https://ideas.repec.org/a/bas/econst/y2023i1p92-108.html
   My bibliography  Save this article

Assessing the Impact of Investment Projects for the Development of Inland Waterway Transport on Social and Economic Indicators in Regions

Author

Listed:
  • Yury D. Belkin
  • Alexey N. Matsuev
  • Alla V. Ryzhakova
  • Nadezhda V. Sedova

Abstract

Currently, when preparing substantiating materials for investment projects to be included into governmental programs of the Russian Federation, no assessment is performed of the project’s impact on social and economic indicators of constituent entities of the Russian Federation, where the investment project is implemented, such as the GRP, the volume of export and shipment of products of own production, reducing the social inequality and unemployment, increasing the total factor-based productivity. Our research hypothesis is the assumption of the positive impact of implementing governmental investment projects on the indicators of social and economic development in constituent entities of the Russian Federation. Therefore, the purpose of our research is to assess the impact of implementing investment projects for the development of inland waterway transport infrastructure, that are financed from the federal budget, on the social and economic development indicators in constituent entities of the Russian Federation. In our study, we assessed the impact of implementing investment projects for the development of inland waterway transport infrastructure on the social and economic indicators of constituent entities of the Russian Federation using the Difference-in-Differences method and the probabilistic and quantitative assessment of the impact of implementing investment projects on social and economic indicators of constituent entities of the Russian Federation using the Bayesian modelling. The calculations presented in this paper showed that the use of the Bayesian modelling method to assess the probability of the investment projects impact on the indicators of social and economic development in constituent entities of the Russian Federation will allow, before making a decision to launch an investment project, to have an idea about its economic effects for the region. The suggested methodological approach to assessing the impact of investment projects on the social and economic development of regions can be used in the practical activities of public authorities at the stage of selecting investment projects and assessing capital investments.

Suggested Citation

  • Yury D. Belkin & Alexey N. Matsuev & Alla V. Ryzhakova & Nadezhda V. Sedova, 2023. "Assessing the Impact of Investment Projects for the Development of Inland Waterway Transport on Social and Economic Indicators in Regions," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 92-108.
    • Handle: RePEc:bas:econst:y:2023:i:1:p:92-108
    as

    Download full text from publisher

    File URL: https://www.iki.bas.bg/Journals/EconomicStudies/2023/2023-1/06_Nadezhda-Sedova.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jane Bryan & Max Munday & David Pickernell & Annette Roberts, 2006. "Assessing the economic significance of port activity: evidence from ABP Operations in industrial South Wales," Maritime Policy & Management, Taylor & Francis Journals, vol. 33(4), pages 371-386, September.
    2. Anna A. Belenchuk & Larisa A. Yeroshkina & Stanislav Ye. Prokofyev & Valery V. Sidorenko & Anton G. Siluanov & Mstislav P. Afanasiev, 2011. "Program-based budget: the best practice," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 1, pages 5-22, January.
    3. Afanasiev Mstislav P. & Alekhin Boris I. & Kravchenko Anna I. & Kradinov Pavel G., 2010. "Program-Based Budgeting: the Goals, the Methods and the Classification," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 3, pages 5-18, July.
    4. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    5. Meyer, Bruce D, 1995. "Natural and Quasi-experiments in Economics," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 151-161, April.
    6. G. S. Maddala & Lung-Fei Lee, 1976. "Recursive Models with Qualitative Endogenous Variables," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 525-545, National Bureau of Economic Research, Inc.
    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. Aistov, Andrey & Aleksandrova, Ekaterina, 2016. "Time-distributed difference-in-differences approach: The case of wage returns to training," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 43, pages 5-28.
    2. Villas-Boas, Sofia B, 2020. "Reduced Form Evidence on Belief Updating Under Asymmetric Information," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt08c456vk, Department of Agricultural & Resource Economics, UC Berkeley.
    3. Irina Heimbach & Oliver Hinz, 2018. "The Impact of Sharing Mechanism Design on Content Sharing in Online Social Networks," Information Systems Research, INFORMS, vol. 29(3), pages 592-611, September.
    4. Christian Volpe Martincus & Jerónimo Carballo, 2010. "Is Export Promotion Effective in Developing Countries? Firm-Level Evidence on the Intensive and Extensive Margins of Exports," IDB Publications (Working Papers) 36763, Inter-American Development Bank.
    5. Berger, Allen N. & Kick, Thomas & Schaeck, Klaus, 2014. "Executive board composition and bank risk taking," Journal of Corporate Finance, Elsevier, vol. 28(C), pages 48-65.
    6. Michele Campolieti & Chris Riddell, 2020. "Does Mediation-Arbitration Reduce Arbitration Rates? Evidence from a Natural Experiment," ILR Review, Cornell University, ILR School, vol. 73(1), pages 211-235, January.
    7. Bonnet, Céline & Hilger, James & Villas-Boas, Sofia B., 2017. "Reduced Form Evidence on Belief Updating under Asymmetric Information - The Case of Wine Expert Opinions," TSE Working Papers 17-834, Toulouse School of Economics (TSE), revised May 2019.
    8. Lin, Boqiang & Li, Xuehui, 2011. "The effect of carbon tax on per capita CO2 emissions," Energy Policy, Elsevier, vol. 39(9), pages 5137-5146, September.
    9. Colm Harmon & Claire Finn & Arnaud Chevalier & Tarja Viitanen, 2006. "The economics of early childhood care and education : technical research paper for the National Economic and Social Forum," Open Access publications 10197/671, School of Economics, University College Dublin.
    10. Thomas Buchmueller & John C. Ham & Lara D. Shore-Sheppard, 2015. "The Medicaid Program," NBER Chapters, in: Economics of Means-Tested Transfer Programs in the United States, Volume 1, pages 21-136, National Bureau of Economic Research, Inc.
    11. Sheila Hoag & Adam Swinburn & Sean Orzol & Michael Barna & Maggie Colby & Brenda Natzke & Christopher Trenholm & Fredric Blavin & Genevieve M. Kenney & Michale Huntress & Others, 2013. "CHIPRA Mandated Evaluation of Express Lane Eligibility: Final Findings," Mathematica Policy Research Reports 257e261f5ab440728eb301712, Mathematica Policy Research.
    12. Puhani, Patrick A., 2012. "The treatment effect, the cross difference, and the interaction term in nonlinear “difference-in-differences” models," Economics Letters, Elsevier, vol. 115(1), pages 85-87.
    13. Schmidt, Lucie, 2007. "Effects of infertility insurance mandates on fertility," Journal of Health Economics, Elsevier, vol. 26(3), pages 431-446, May.
    14. Schertler, Andrea, 2016. "Pricing effects when competitors arrive: The case of discount certificates in Germany," Journal of Banking & Finance, Elsevier, vol. 68(C), pages 84-99.
    15. Resce, Giuliano, 2022. "The impact of political and non-political officials on the financial management of local governments," Journal of Policy Modeling, Elsevier, vol. 44(5), pages 943-962.
    16. Dale Belman & Paul Wolfson & Kritkorn Nawakitphaitoon, 2015. "Who Is Affected by the Minimum Wage?," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 54(4), pages 582-621, October.
    17. Susan Athey & Guido W. Imbens, 2006. "Identification and Inference in Nonlinear Difference-in-Differences Models," Econometrica, Econometric Society, vol. 74(2), pages 431-497, March.
    18. Ana Albuquerque & Julie Lei Zhu, 2019. "Has Section 404 of the Sarbanes–Oxley Act Discouraged Corporate Investment? New Evidence from a Natural Experiment," Management Science, INFORMS, vol. 65(7), pages 3423-3446, July.
    19. Colin Cannonier, 2009. "State Abstinence Education Programs and Teen Fertility in the U.S," Departmental Working Papers 2009-14, Department of Economics, Louisiana State University.
    20. Susan Dynarski, 2008. "Building the Stock of College-Educated Labor," Journal of Human Resources, University of Wisconsin Press, vol. 43(3), pages 576-610.

    More about this item

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • H54 - Public Economics - - National Government Expenditures and Related Policies - - - Infrastructures

    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:bas:econst:y:2023:i:1:p:92-108. 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: Diana Dimitrova (email available below). General contact details of provider: https://edirc.repec.org/data/ikbasbg.html .

    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.