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Mariola Pilatowska

Personal Details

First Name:Mariola
Middle Name:
Last Name:Pilatowska
Suffix:
RePEc Short-ID:ppi249

Affiliation

Wydział Nauk Ekonomicznych i Zarządzania
Uniwersytet Mikolaja Kopernika w Toruniu

Toruń, Poland
http://www.econ.uni.torun.pl/
RePEc:edi:wntorpl (more details at EDIRC)

Research output

as
Jump to: Articles Editorship

Articles

  1. Mariola Piłatowska & Andrzej Geise & Aneta Włodarczyk, 2020. "The Effect of Renewable and Nuclear Energy Consumption on Decoupling Economic Growth from CO 2 Emissions in Spain," Energies, MDPI, vol. 13(9), pages 1-18, April.
  2. Mariola Pilatowska & Aneta Wlodarczyk, 2018. "Decoupling Economic Growth From Carbon Dioxide Emissions in the EU Countries," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 14(1), pages 7-26.
  3. Andrzej Geise & Mariola Pilatowska, 2016. "Asymmetries in the relationship between economic activity and oil prices in the selected EU countries," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 16, pages 65-86.
  4. Andrzej Geise & Mariola Pilatowska, 2014. "Oil Prices, Production and Inflation in the Selected EU Countries: Threshold Cointegration Approach," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 14, pages 71-91.
  5. Mariola Pilatowska & Aneta Wlodarczyk & Marcin Zawada, 2014. "The Environmental Kuznets Curve in Poland - Evidence From Threshold Cointegration Analysis," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 14, pages 51-70.
  6. Andrzej Geise & Mariola Pilatowska, 2013. "Synchronization of Crude Oil Prices Cycle and Business Cycle for the Central Eastern European Economies," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 13, pages 175-194.
  7. Mariola Pilatowska, 2011. "Information and Prediction Criteria in Selecting the Forecasting Model," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 11, pages 21-40.
  8. Mariola Pilatowska, 2010. "Choosing a Model and Strategy of Model Selection by Accumulated Prediction Error," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 10, pages 107-119.
  9. Mariola Pilatowska, 2010. "Accumulative prediction error as a method of model selection," Acta Universitatis Nicolai Copernici, Ekonomia, Uniwersytet Mikolaja Kopernika, vol. 41, pages 43-56.
  10. Mariola Pilatowska, 2009. "The Combined Forecasts Using the Akaike Weights," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 9, pages 5-16.
  11. Mariola Pilatowska, 2008. "The Econometric Models Satisfying the Congruence Postulate – an Overview," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 8, pages 53-60.
  12. Mariola Pilatowska, 2006. "The Effects of the Incorrect Identification of Non-stationarity of Economic Processes for Prediction Mean Square Error," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 7, pages 93-102.
  13. Mariola Pilatowska, 2004. "Realization of the Congruence Postulate as a Method of Avoiding the Effects of a Spurious Relationship," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 6, pages 117-126.

Editorship

  1. Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika.
  2. Acta Universitatis Nicolai Copernici, Ekonomia, Uniwersytet Mikolaja Kopernika.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Mariola Piłatowska & Andrzej Geise & Aneta Włodarczyk, 2020. "The Effect of Renewable and Nuclear Energy Consumption on Decoupling Economic Growth from CO 2 Emissions in Spain," Energies, MDPI, vol. 13(9), pages 1-18, April.

    Cited by:

    1. Pata, Ugur Korkut & Kartal, Mustafa Tevfik & Erdogan, Sinan & Sarkodie, Samuel Asumadu, 2023. "The role of renewable and nuclear energy R&D expenditures and income on environmental quality in Germany: Scrutinizing the EKC and LCC hypotheses with smooth structural changes," Applied Energy, Elsevier, vol. 342(C).
    2. Alexandra Horobet & Oana Cristina Popovici & Emanuela Zlatea & Lucian Belascu & Dan Gabriel Dumitrescu & Stefania Cristina Curea, 2021. "Long-Run Dynamics of Gas Emissions, Economic Growth, and Low-Carbon Energy in the European Union: The Fostering Effect of FDI and Trade," Energies, MDPI, vol. 14(10), pages 1-30, May.
    3. Liu, Ying & Lin, Boqiang & Xu, Bin, 2021. "Modeling the impact of energy abundance on economic growth and CO2 emissions by quantile regression: Evidence from China," Energy, Elsevier, vol. 227(C).
    4. Jean Pierre Namahoro & Qiaosheng Wu & Haijun Xiao & Na Zhou, 2021. "The Impact of Renewable Energy, Economic and Population Growth on CO 2 Emissions in the East African Region: Evidence from Common Correlated Effect Means Group and Asymmetric Analysis," Energies, MDPI, vol. 14(2), pages 1-21, January.
    5. Yang, Jun & Hao, Yun & Feng, Chao, 2021. "A race between economic growth and carbon emissions: What play important roles towards global low-carbon development?," Energy Economics, Elsevier, vol. 100(C).
    6. Łukasz Topolewski, 2021. "Relationship between Energy Consumption and Economic Growth in European Countries: Evidence from Dynamic Panel Data Analysis," Energies, MDPI, vol. 14(12), pages 1-12, June.
    7. Meiramkul Saiymova & Marija Troyanskaya & Kulyash Shalgimbayeva & Zhanat Babazhanova & Roza Jumabekova, 2023. "The Vector Auto Regression Analysis of the Link between Renewable Energy Consumption and Economic Development for Turkey and Kazakhstan," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 309-315, March.
    8. Papież, Monika & Śmiech, Sławomir & Frodyma, Katarzyna, 2022. "Does the European Union energy policy support progress in decoupling economic growth from emissions?," Energy Policy, Elsevier, vol. 170(C).
    9. Md. Hasanur Rahman & Liton Chandra Voumik & Md. Jamsedul Islam & Md. Abdul Halim & Miguel Angel Esquivias, 2022. "Economic Growth, Energy Mix, and Tourism-Induced EKC Hypothesis: Evidence from Top Ten Tourist Destinations," Sustainability, MDPI, vol. 14(24), pages 1-16, December.
    10. Ngo Thai Hung, 2024. "Remittance, Renewable Energy, and CO2 Emissions: a Vietnamese Illustration," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 2096-2120, March.
    11. Cano-Rodríguez, Sara & Rubio-Varas, Mar & Sesma-Martín, Diego, 2022. "At the crossroad between green and thirsty: Carbon emissions and water consumption of Spanish thermoelectricity generation, 1969–2019," Ecological Economics, Elsevier, vol. 195(C).
    12. Mariola Piłatowska & Andrzej Geise, 2021. "Impact of Clean Energy on CO 2 Emissions and Economic Growth within the Phases of Renewables Diffusion in Selected European Countries," Energies, MDPI, vol. 14(4), pages 1-24, February.
    13. Frodyma, Katarzyna & Papież, Monika & Śmiech, Sławomir, 2022. "Revisiting the Environmental Kuznets Curve in the European Union countries," Energy, Elsevier, vol. 241(C).
    14. YunQian Zhang & Li Li & Muhammad Sadiq & FengSheng Chien, 2024. "The impact of non-renewable energy production and energy usage on carbon emissions: Evidence from China," Energy & Environment, , vol. 35(4), pages 2248-2269, June.

  2. Mariola Pilatowska & Aneta Wlodarczyk, 2018. "Decoupling Economic Growth From Carbon Dioxide Emissions in the EU Countries," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 14(1), pages 7-26.

    Cited by:

    1. Louis Sevitnenyi Nkwatoh, 2022. "Zero-pollution effect and economic development: standard and nested environmental Kuznets curve analyses for West Africa," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(10), pages 11895-11910, October.
    2. Alina HALLER, 2020. "From Classical And Neoclassical Economic Growth To Degrowth In Europe. Challenges For Public Administration," REVISTA ADMINISTRATIE SI MANAGEMENT PUBLIC, Faculty of Administration and Public Management, Academy of Economic Studies, Bucharest, Romania, vol. 2020(34), pages 150-170, June.

  3. Andrzej Geise & Mariola Pilatowska, 2014. "Oil Prices, Production and Inflation in the Selected EU Countries: Threshold Cointegration Approach," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 14, pages 71-91.

    Cited by:

    1. Andrzej Geise & Mariola Pilatowska, 2016. "Asymmetries in the relationship between economic activity and oil prices in the selected EU countries," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 16, pages 65-86.

  4. Mariola Pilatowska & Aneta Wlodarczyk & Marcin Zawada, 2014. "The Environmental Kuznets Curve in Poland - Evidence From Threshold Cointegration Analysis," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 14, pages 51-70.

    Cited by:

    1. Mariola Pilatowska & Aneta Wlodarczyk, 2018. "Decoupling Economic Growth From Carbon Dioxide Emissions in the EU Countries," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 14(1), pages 7-26.
    2. Aleksandra Jadach-Sepioło & Katarzyna Olejniczak-Szuster & Michał Dziadkiewicz, 2021. "Does Environment Matter in Smart Revitalization Strategies? Management towards Sustainable Urban Regeneration Programs in Poland," Energies, MDPI, vol. 14(15), pages 1-16, July.

  5. Andrzej Geise & Mariola Pilatowska, 2013. "Synchronization of Crude Oil Prices Cycle and Business Cycle for the Central Eastern European Economies," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 13, pages 175-194.

    Cited by:

    1. Ngozi E. Egbuna & Maimuna John-Sowe & Santigie M. Kargbo (PhD) & Sani Bawa (PhD) & Ibrahima Diallo & Isatou Mendy, 2020. "Business Cycle Synchronisation In The Ecowas Region," Working Papers 18, West African Monetary Institute.

  6. Mariola Pilatowska, 2011. "Information and Prediction Criteria in Selecting the Forecasting Model," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 11, pages 21-40.

    Cited by:

    1. MAWANGA Freddie Festo, 2017. "Investigating A Random Walk In Air Cargo Exports Of Fresh Agricultural Products: Evidence From A Developing Country," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 12(1), pages 129-140, April.

  7. Mariola Pilatowska, 2009. "The Combined Forecasts Using the Akaike Weights," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 9, pages 5-16.

    Cited by:

    1. Emilian Dobrescu, 2014. "A Hybrid Forecasting Approach," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 16(35), pages 390-390, February.

  8. Mariola Pilatowska, 2008. "The Econometric Models Satisfying the Congruence Postulate – an Overview," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 8, pages 53-60.

    Cited by:

    1. Marcin Blazejowski & Pawel Kufel & Tadeusz Kufel, 2009. "Automatic Procedure of Building Congruent Dynamic Model in Gretl," EHUCHAPS, in: Ignacio Díaz-Emparanza & Petr Mariel & María Victoria Esteban (ed.), Econometrics with gretl. Proceedings of the gretl Conference 2009, edition 1, chapter 5, pages 75-89, Universidad del País Vasco - Facultad de Ciencias Económicas y Empresariales.

  9. Mariola Pilatowska, 2004. "Realization of the Congruence Postulate as a Method of Avoiding the Effects of a Spurious Relationship," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 6, pages 117-126.

    Cited by:

    1. Marcin Blazejowski & Pawel Kufel & Tadeusz Kufel, 2009. "Automatic Procedure of Building Congruent Dynamic Model in Gretl," EHUCHAPS, in: Ignacio Díaz-Emparanza & Petr Mariel & María Victoria Esteban (ed.), Econometrics with gretl. Proceedings of the gretl Conference 2009, edition 1, chapter 5, pages 75-89, Universidad del País Vasco - Facultad de Ciencias Económicas y Empresariales.

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