IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i16p4133-d1459568.html
   My bibliography  Save this article

Key SDG7 Factors Shaping the Future of Clean Coal Technologies: Analysis of Trends and Prospects in Poland

Author

Listed:
  • Aurelia Rybak

    (Faculty of Mining, Safety Engineering and Industrial Automation, Silesian University of Technology, 44-100 Gliwice, Poland)

  • Aleksandra Rybak

    (Department of Physical Chemistry and Technology of Polymers, Faculty of Chemistry, Silesian University of Technology, 44-100 Gliwice, Poland)

  • Jarosław Joostberens

    (Faculty of Mining, Safety Engineering and Industrial Automation, Silesian University of Technology, 44-100 Gliwice, Poland)

  • Spas D. Kolev

    (School of Chemistry, The University of Melbourne, Parkville, VIC 3010, Australia
    Faculty of Chemistry and Pharmacy, Sofia University “St. Kl. Ohridski”, 1 James Bourchier Blvd., 1164 Sofia, Bulgaria)

Abstract

This article presents the results of an analysis aimed at verifying the relationship between the implementation of SDG Goal 7 and the use of clean coal technologies in Poland. Clean coal technologies in the United Nations plans will constitute a crucial element of the strategy for sustainable development in the energy context. They are intended to be one of the tools for building an energy system based on renewable energy sources, constituting a bridge that enables the transition of Poland’s energy system from coal to renewable energy sources. To identify whether this relationship exists, the Autoregressive Moving Average with Exogenous Input (ARMAX) model was used. The structure of the model, its correctness, and its accuracy were confirmed using information criteria; statistical tests such as Dickey-Fuller, Doornik-Hansen, Durbin-Watson, and Breusch-Pagan; and measures of prediction accuracy such as MAPE, MAE, and RMSE. The explanatory variables were the Objective 7 indicators adopted by Eurostat. Before being introduced to the ARMAX model, they were standardized using the Compound Annual Growth Rate (CAGR) indicator. The analysis made it possible to indicate which of the explanatory variables has the greatest impact on the development of clean coal technologies in Poland, to determine a synthetic CAGR measure for all the explanatory variables, and to compare the results obtained with the indicator determined by the United Nations.

Suggested Citation

  • Aurelia Rybak & Aleksandra Rybak & Jarosław Joostberens & Spas D. Kolev, 2024. "Key SDG7 Factors Shaping the Future of Clean Coal Technologies: Analysis of Trends and Prospects in Poland," Energies, MDPI, vol. 17(16), pages 1-15, August.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:16:p:4133-:d:1459568
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/16/4133/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/16/4133/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Paul Kabaila & Davide Farchione & Samer Alhelli & Nathan Bragg, 2021. "The effect of a Durbin–Watson pretest on confidence intervals in regression," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 75(1), pages 4-23, February.
    2. Christiano B. Peres & Pedro M. R. Resende & Leonel J. R. Nunes & Leandro C. de Morais, 2022. "Advances in Carbon Capture and Use (CCU) Technologies: A Comprehensive Review and CO 2 Mitigation Potential Analysis," Clean Technol., MDPI, vol. 4(4), pages 1-15, November.
    3. Dougherty, Christopher, 2011. "Introduction to Econometrics," OUP Catalogue, Oxford University Press, edition 4, number 9780199567089.
    4. Sachs,Jeffrey D. & Kroll,Christian & Lafortune,Guillame & Fuller,Grayson & Woelm,Finn, 2022. "Sustainable Development Report 2022," Cambridge Books, Cambridge University Press, number 9781009210089, October.
    5. Olabi, A.G. & Obaideen, Khaled & Elsaid, Khaled & Wilberforce, Tabbi & Sayed, Enas Taha & Maghrabie, Hussein M. & Abdelkareem, Mohammad Ali, 2022. "Assessment of the pre-combustion carbon capture contribution into sustainable development goals SDGs using novel indicators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    6. Castle, Jennifer L. & Doornik, Jurgen A. & Hendry, David F., 2023. "Robust Discovery of Regression Models," Econometrics and Statistics, Elsevier, vol. 26(C), pages 31-51.
    7. Hickey, Emily & Loomis, David G. & Mohammadi, Hassan, 2012. "Forecasting hourly electricity prices using ARMAX–GARCH models: An application to MISO hubs," Energy Economics, Elsevier, vol. 34(1), pages 307-315.
    8. Halkos, George & Gkampoura, Eleni-Christina, 2021. "Where do we stand on the 17 Sustainable Development Goals? An overview on progress," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 94-122.
    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. Laila Touhami Morghem & Khawlah Ali Abdalla Spetan, 2020. "Determinants of International Migration: An Applied Study on Selected Arab Countries (1995-2017)," International Journal of Economics and Financial Issues, Econjournals, vol. 10(2), pages 6-19.
    2. Florian Ziel & Rick Steinert & Sven Husmann, 2015. "Forecasting day ahead electricity spot prices: The impact of the EXAA to other European electricity markets," Papers 1501.00818, arXiv.org, revised Dec 2015.
    3. Rekha Rao-Nicholson & Htwe Htwe Thein & Yifan Zhong, 2024. "A thematic analysis of the links between multinational enterprises’ corporate social responsibility and the Sustainable Development Goals in Myanmar," Journal of International Business Policy, Palgrave Macmillan, vol. 7(2), pages 203-223, June.
    4. Kornsorn Srikulnath & Nattakan Ariyaraphong & Worapong Singchat & Thitipong Panthum & Artem Lisachov & Syed Farhan Ahmad & Kyudong Han & Narongrit Muangmai & Prateep Duengkae, 2022. "Asian Elephant Evolutionary Relationships: New Perspectives from Mitochondrial D-Loop Haplotype Diversity," Sustainability, MDPI, vol. 15(1), pages 1-12, December.
    5. Billé, Anna Gloria & Gianfreda, Angelica & Del Grosso, Filippo & Ravazzolo, Francesco, 2023. "Forecasting electricity prices with expert, linear, and nonlinear models," International Journal of Forecasting, Elsevier, vol. 39(2), pages 570-586.
    6. Satar Bakhsh & Md Shabbir Alam & Wei Zhang, 2024. "Green finance and Sustainable Development Goals: is there a role for geopolitical uncertainty?," Economic Change and Restructuring, Springer, vol. 57(4), pages 1-30, August.
    7. Yu, Rong & Li, Jianhong, 2024. "Does fintech influence sustainable development under natural resource constraints: insights from 270 Chinese cities," Resources Policy, Elsevier, vol. 91(C).
    8. Iryna Kalenyuk & Liudmyla Tsymbal, 2021. "Assessment of the intellectual component in economic development," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4793-4816, June.
    9. Qusay Abu-Afifeh & Michel Rahbeh & Aya Al-Afeshat & Saif Al-Omari & Tala Amer Qutishat & Ali Brezat & Ali Alkayed, 2023. "Dam Sustainability’s Interdependency with Climate Change and Dam Failure Drivers," Sustainability, MDPI, vol. 15(23), pages 1-19, November.
    10. Halkos, George & Managi, Shunsuke, 2023. "New developments in the disciplines of environmental and resource economics," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 513-522.
    11. Jie, Guo & Jiahui, Lv, 2023. "Media attention, green technology innovation and industrial enterprises’ sustainable development: The moderating effect of environmental regulation," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 873-889.
    12. Ahmed M. Nassef & Ahmed Handam, 2022. "Parameter Estimation-Based Slime Mold Algorithm of Photocatalytic Methane Reforming Process for Hydrogen Production," Sustainability, MDPI, vol. 14(5), pages 1-12, March.
    13. Jesica Escobar & Alexander Poznyak, 2022. "Robust Parametric Identification for ARMAX Models with Non-Gaussian and Coloured Noise: A Survey," Mathematics, MDPI, vol. 10(8), pages 1-38, April.
    14. Fareri, Silvia & Apreda, Riccardo & Mulas, Valentina & Alonso, Ruben, 2023. "The worker profiler: Assessing the digital skill gaps for enhancing energy efficiency in manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    15. Ichaou Mounirou, 2022. "Do climatic factors induce rural migration? Empirical evidence from cotton farmers in Benin," Natural Resources Forum, Blackwell Publishing, vol. 46(4), pages 393-409, November.
    16. Piotr Bolibok, 2014. "The impact of IFRS on the value relevance of accounting data of banks listed on the Warsaw Stock Exchange," Copernican Journal of Finance & Accounting, Uniwersytet Mikolaja Kopernika, vol. 3(1), pages 33-43.
    17. Mia Heide & Mickey Gjerris, 2024. "Embedded but overlooked values: Ethical aspects of absolute environmental sustainability assessments," Journal of Industrial Ecology, Yale University, vol. 28(3), pages 386-396, June.
    18. Shadi Tehrani & Jesús Juan & Eduardo Caro, 2022. "Electricity Spot Price Modeling and Forecasting in European Markets," Energies, MDPI, vol. 15(16), pages 1-23, August.
    19. Aurelia Rybak & Aleksandra Rybak & Spas D. Kolev, 2023. "Modeling the Photovoltaic Power Generation in Poland in the Light of PEP2040: An Application of Multiple Regression," Energies, MDPI, vol. 16(22), pages 1-17, November.
    20. A. G. Olabi & Khaled Obaideen & Mohammad Ali Abdelkareem & Maryam Nooman AlMallahi & Nabila Shehata & Abdul Hai Alami & Ayman Mdallal & Asma Ali Murah Hassan & Enas Taha Sayed, 2023. "Wind Energy Contribution to the Sustainable Development Goals: Case Study on London Array," Sustainability, MDPI, vol. 15(5), pages 1-22, March.

    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:gam:jeners:v:17:y:2024:i:16:p:4133-:d:1459568. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.