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Spatial Differentiation of Poland’s Gross Domestic Product

Author

Listed:
  • Piotr Borawski
  • Aneta Beldycka-Borawska
  • Tomasz Rokicki
  • Lisa Holden
  • Ireneusz Zuchowski
  • Katarzyna Brodzinska

Abstract

Purpose: The main aim of this study was to evaluate changes in spatial differentiation of Poland’s gross domestic product (GDP). We also evaluated changes in GDP in specific provinces in Poland. Last, we analyzed the shadow economy in Poland. Design/Methodology/Approach: Data for the study were obtained from the Statistics Poland data. The analyzed data covered the period from 1990 to 2023, which reported a total of 34 years of observations. We used tabular, graph and descriptive methods to present the spatial differentiation of GDP development. Findings: The study revealed that in 2023, Poland’s GDP exceeded PLN 3 trillion. We used the nominal GDP that is explained in current prices. Moreover, the biggest GDP was observed in the Mazovia, Silesia and Wielkopolskie voivodeships. In 2021 the highest GDP was produced in the Mazovia voivodeship (593 814 PLN million), the Silesia voivodeship (314 500 PLN million) and the Wielkopolska voivodeship (259 958 PLN million). The smallest GDP was observed in 2021 in the Opole voivodeship (53 994 PLN million), the Podlasie (58 369 PLN million) and the Świętokrzyskie voivodeship (60 381 PLN million). East voivodeships in Poland produce lower gross domestic products. Practical implications: The study contributes to the development of the economy in Poland showing changes in gross domestic products (GDP). Poland is still divided into west with a better developed Poland and east with a lesser developed Poland. This is a clue for policy makers to address additional funding for the development in east Poland. Originality/Value: The paper brings original value in GDP analysis and shadow economy in Poland.

Suggested Citation

  • Piotr Borawski & Aneta Beldycka-Borawska & Tomasz Rokicki & Lisa Holden & Ireneusz Zuchowski & Katarzyna Brodzinska, 2024. "Spatial Differentiation of Poland’s Gross Domestic Product," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 423-436.
    • Handle: RePEc:ers:journl:v:xxvii:y:2024:i:3:p:423-436
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    References listed on IDEAS

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    1. Piotr Borawski & Aneta Beldycka-Borawska & Ireneusz Zuchowski & Tomasz Rokicki & Andrzej Parzonko & Lisa Holden & Renata Marks-Bielska, 2024. "Analyzing the Correlation between Central Bank Interest Rates and Inflation on the Example of Poland within the European Union," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 82-95.
    2. Eleftherios Thalassinos & Nejib Hachicha & Amira Hakim, 2022. "The International Spillover Among Sectors and the Interconnectedness to the Global Inflation Cycle," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 12(1), pages 3-11.
    3. Achim, Monica Violeta & Postea, Mihaela Maria & Noja, Gratiela Georgiana, 2024. "New estimate of shadow economy based on the total energy consumption. Evidence from the European Union countries," Energy Economics, Elsevier, vol. 130(C).
    4. Eleftherios Thalassinos & Erginbay Ugurlu & Yusuf Muratoglu, 2012. "Income Inequality and Inflation in the EU," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 127-140.
    5. Serhiy Lyeonov & Tetyana Pimonenko & Yuriy Bilan & Dalia Štreimikienė & Grzegorz Mentel, 2019. "Assessment of Green Investments’ Impact on Sustainable Development: Linking Gross Domestic Product Per Capita, Greenhouse Gas Emissions and Renewable Energy," Energies, MDPI, vol. 12(20), pages 1-12, October.
    6. Piotr Borawski & Aneta Beldycka-Borawska & Tomasz Rokicki & Lisa Holden, 2024. "The Role of Money Supply in Shaping Poland’s Gross Domestic Product," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 69-81.
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    More about this item

    Keywords

    GDP; shadow economy; regional development.;
    All these keywords.

    JEL classification:

    • F10 - International Economics - - Trade - - - General
    • F13 - International Economics - - Trade - - - Trade Policy; International Trade Organizations
    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation

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