Economics of Development
Economics of Development
ISSN 1683-1942 e-ISSN 2304-6155 UDC 33
DOI: 10.63341/econ
Submit an article

Article

Download article

Integration of statistical data in the comprehensive economic statistics system

Vainius Smalskys, Iryna Sierova, Mariana Semkiv

Received 15.01.2026, Revised 15.04.2026, Accepted 19.05.2026 Published 29.06.2026

Abstract

Modern society represents a complex socio-economic system, the development efficiency of which is determined by the economy’s ability to maintain the stability of its elements over certain periods of time. The aim was to justify an integrative approach to the development of comprehensive economic statistics in the context of sustainable development by identifying systemic contradictions, assessing the consistency of statistical data, and determining directions for their harmonisation in accordance with the Sustainable Development Goals. The study utilised a set of general scientific and specialised methods, including: the analytical generalisation method – for identifying systemic problems in comprehensive economic statistics; comparative analysis – for evaluating data collection schemes and data reconciliation; systems approach – for forming an integrated view of statistics; structural-functional analysis – for determining the role of metadata; logical modelling – for constructing schemes of interrelations between the indicators of Sustainable Development Goals and statistical processes. It was established that the modern socio-economic system is characterised by instability and limited ability to restore equilibrium, which necessitates the integration of statistical systems. It is substantiated that the balance of components of sustainable development is achieved through the coordinated functioning of comprehensive economic statistics. Basic contradictions in accounting practice have been identified, as well as dependencies between sources of statistical errors and the methods used to correct them. The double effect of harmonising public finance data with international standards has been demonstrated. A general scheme of the interconnection between the issues of economic indicators of sustainable development and the directions for improving statistical work has been developed. The role of metadata in ensuring the integration of statistical systems and the inclusion of digital indicators into macroeconomic assessments has been identified. The practical significance of the obtained results lies in their potential to improve the consistency of statistical data, ensure international comparability, and substantiate managerial decisions at the national level within the context of implementing the Sustainable Development Goals


Keywords:

sustainable development; integration; analytical assessment; comprehensive economic statistics; data consistency; types of metadata; comparative evaluation

https://doi.org/10.63341/econ/2.2026.66

Retrieved from Volume 25, No. 2, 2026

Pages 66-79

References Suggested citation

References

  1. Artemieva, I.O. (2020). The system for statistical measurement of digital economy parameters: Development trends. Statistics of Ukraine, 88(1), 66-74. doi: 10.31767/su.1(88)2020.01.08.
  2. Batchchenko, L.V., & Reva, O.V. (2023). Digitalisation of the country’s economy: Trends and prospects. Industry of Tourism and Hospitality in Central and Eastern Europe, 9, 12-19. doi: 10.32782/tourismhospcee-9-2.
  3. Bilova, N. (2012). Chapter 2. Accounts of accounting: Structure, types, double entry. Retrieved from https://factor.academy/blog/glava-2-raxunki-buxgalterskogo-obliku-budova-vidi-podvijnij-zapis/.
  4. Decree of the President of Ukraine No. 722/2019 “On the Sustainable Development Goals of Ukraine for the Period Up to 2030”. (2019, September). Retrieved from https://zakon.rada.gov.ua/laws/show/722/2019#Text.
  5. Dell’Anno, R. (2024). Integrating national accounting and macroeconomic approaches to estimate the underground, informal, and illegal economy in European countries. International Tax and Public Finance, 32, 526-565. doi: 10.1007/s10797-024-09835-y.
  6. ENECE Statistics. (2024). National indicators for measuring progress with SDGs. Retrieved from https://w3.unece.org/sdg2024/story-17.html.
  7. Eurostat. (2021). The European system of accounts – ESA 2010 – interactive version. Retrieved from https://ec.europa.eu/eurostat/web/products-manuals-and-guidelines/-/ks-02-21-009.
  8. Guseva, O.Yu., Legominova, S.V., Holoborodko, A.Yu., Voskoboieva, O.V., & Romashchenko, O.S. (2020). Fundamentals of statistics and forecasting of economic processes. Kyiv: State University of Information and Communication Technologies.
  9. IMF. (2024). Proposals for advancing the update to the GFSM 2014. Retrieved from https://www.imf.org/-/media/files/data/statistics/gfsm/summary-of-responses-to-consultation-on-proposals-to-advance-gfsm-update-august-2024.pdf.
  10. IMF. (n.d.). Update of the government finance statistics manual 2014 (GFSM 2014). Retrieved from https://www.imf.org/en/Data/Statistics/government-finance-statistics-manual.
  11. IPSAS. (2019). Handbook of international public sector accounting pronouncements. New York: IFAC.
  12. IPSAS. (2025). Handbook of international public sector accounting pronouncements. New York: IFAC.
  13. Ivanchuk, V., & Moshniaha, N. (2021). Achievement of Sustainable Development Goals at the national and regional levels. Retrieved from https://voxukraine.org/dosyagnennya-tsilej-stalogo-rozvytku-u-natsionalnomu-ta-regionalnomu-rozrizah.
  14. Jansen, J., & Wang, X. (2024). Beyond GDP: A review and conceptual framework for measuring sustainable and inclusive wellbeing. The Lancet Planetary Health, 8(9), 695-705. doi: 10.1016/S2542-5196(24)00147-5.
  15. Kharazishvili, Y.M. (2019). Systemic security of sustainable development: Assessment toolkit, reserves and strategic scenarios of implementation. Kyiv: Institute of Industrial Economics of the NAS of Ukraine.
  16. Khaustova, V.Y., Kriachko, Y.M., & Bondarenko, D.V. (2024). Modeling the impact of digitalization factors on the economic development of countries around the world. The Problems of Economy, 2(60), 61-73. doi: 10.32983/2222-0712-2024-2-61-73.
  17. Kulynych, M. (2024). Accounting. General theory. Lutsk: Lesya Ukrainka Volyn National University.
  18. Landau, A., Jütting, J., & Macfeely, S. (2025). How the SDGs increased data production and what this means for policy. Retrieved from https://www.paris21.org/sites/default/files/media/document/2025-01/sdg-and-data-production-working-paper.pdf.
  19. Liu, S. (2023). Statistical challenges for achieving Sustainable Development Goals: Some reflections on indicator 14.7.1. Journal of International Development, 35(7), 1913-1924. doi: 10.1002/jid.3763.
  20. Matkovskyi, S., Lutchyn, N., & Vaskiv, S. (2022). National accounting. Lviv: Ivan Franko National University of Lviv.
  21. Ministry of Economic Development and Trade of Ukraine. (2017). Sustainable Development Goals: Ukraine. Retrieved from https://mof.gov.ua/storage/files/Sustainable%20Development%20Goals%20(2017).pdf.
  22. Nilashi, M., Ooi, K.-B., Tan, G.W.-H., Lin, B., & Abumalloh, R.A. (2023). Critical data challenges in measuring the performance of Sustainable Development Goals: Solutions and the role of big data analytics. Harvard Data Science Review, 5(3). doi: 10.1162/99608f92.545db2cf.
  23. OECD. (2025). Mind the SDG data gaps: Insights from the OECD SDGs Hub. Retrieved from https://www.oecd.org/en/publications/mind-the-sdg-data-gaps_9aff09e2-en/full-report.html
  24. Order of the Cabinet of Ministers of Ukraine No. 686-2019-r. “Issues of Data Collection for Monitoring the Implementation of the Sustainable Development Goals”. (2019, August). Retrieved from https://web.archive.org/web/20240518111229/https://zakon.rada.gov.ua/laws/show/686-2019-%D1%80#Text.
  25. Pietras, S. (2023). Harnessing the power of data for progress on the SDGs. Retrieved from https://geospatialworld.net/prime/prime-opinion/harnessing-power-data-progress-sdgs/.
  26. Pyshchulina, O. (2020). Digital economy: Trends, risks and social determinants. Kyiv: “Zapovit” Publishing House.
  27. Recommendations for creating data warehouses and examples of their use. (2024). Retrieved from https://www.zfort.com.ua/blog/rekomendaciyi-shodo-stvorennya-skhovish-danikh-ta-prikladi-yikh/.
  28. Resolution of the Cabinet of Ministers of Ukraine No. 989 “On Approval of the Official Statistics Development Programme until 2028”. (2023, September). Retrieved from https://zakon.rada.gov.ua/laws/show/989-2023-%D0%BF#Text.
  29. Ryzhikova, N., Sierova, I., & Shevchenko, I. (2022). Trends in the development of accounting in the context of Ukraine’s European integration aspirations. Development Management, 20(2), 26-32. doi: 10.57111/devt.20(2).2022.26-32.
  30. Sánchez Turner, M.A., & Graña, J.M. (2026). Neglected insights on national accounting’s development and agenda: An appraisal of value appropriation from the critique of political economy. Review of Radical Political Economics. doi: 10.1177/04866134261439963.
  31. Sanseverino, T. (2023). How economic SDG claims can be impactful in the VCM. Retrieved from https://bezerocarbon.com/insights/how-vcm-economic-sdg-claims-can-be-impactful.
  32. Shakil, S.R. (n.d.). Data collection methods: Top-down vs. bottom-up. Retrieved from https://taroworks.org/data-collection-methods/.
  33. Sierova, I. (2024). Formation of the foundations of analytical assessment of sustainable development. In The 5th international scientific and practical conference “Business analytics: models, tools and technologies” (pp. 268-271). Kyiv: National University “Kyiv Aviation Institute”.
  34. Structure of the national accounts. (n.d.). Retrieved from https://buklib.net/books/24131/.
  35. Tebrake, J. (2026). The future of international macroeconomic statistical standards: Toward a coordinated and adaptive research agenda. Statistical Journal of the IAOS, 42(1), 113-121. doi: 10.1177/18747655261419930.
  36. Top-down versus bottom-up data quality approach. (n.d.). Retrieved from https://dqmatters.com/top-down-versus-bottom-up-data-quality-approach.
  37. UNDP. (2018). Transforming our world: The 2030 agenda for sustainable development. Retrieved from https://www.undp.org/ukraine/publications/transforming-our-world-2030-agenda-sustainable-development.
  38. United Nations. (2008). System of national accounts 2008-2008 SNA. Retrieved from https://unstats.un.org/unsd/nationalaccount/sna2008.asp.
  39. United Nations. (2013). Guidelines on integrated economic statistics. New York: United Nations. doi: 10.18356/c03e7c1a-en.
  40. United Nations. (2025). National accounts capacity development resources. Retrieved from https://unstats.un.org/unsd/nationalaccount/capdev/resources.
  41. United Nations. (n.d.). World economic situation and prospects 2025. New York: United Nations.
  42. World Bank. (2019). International comparison program (ICP). Retrieved from https://www.worldbank.org/en/programs/icp.
  43. Zwijnenburg, J. (2026). Tracking economic well-being in the 2025 System of National Accounts. Statistical Journal of the IAOS, 42(1), 27-37. doi: 10.1177/18747655261424184.

Suggested citation

Smalskys, V., Sierova, I., & Semkiv, M. (2026). Integration of statistical data in the comprehensive economic statistics system. Economics of Development, 25(2), 66-79. https://doi.org/10.63341/econ/2.2026.66