IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i22p7649-d680001.html
   My bibliography  Save this article

Analysis of Natural Gas Consumption Interdependence for Polish Industrial Consumers on the Basis of an Econometric Model

Author

Listed:
  • Tomasz Chrulski

    (AGH Doctoral School, AGH University of Science and Technology, Mickiewicza 30 Av., 30-059 Krakow, Poland)

  • Mariusz Łaciak

    (Gas Engineering Department, Drilling, Oil and Gas Faculty, AGH University of Science and Technology, Mickiewicza 30 Av., 30-059 Krakow, Poland)

Abstract

The transmission of natural gas is a key element of the Polish energy system. The published data of the Polish distribution system operators and the transmission system operator on the volume of gaseous fuel transmitted indicate a growing trend in the consumption of energy produced from natural gas. In connection with the energy transformation, switching energy generation sources from hard coal to natural gas in Poland, it is important for transmission operators to know the future demand for gaseous fuel. The aim of the article is to attempt to develop an econometric model related to the consumption of gaseous fuel by Polish entrepreneurs. The knowledge therein may be useful for making business decisions related to the possible expansion of the transmission system, and thus investing financial resources for this purpose. This knowledge will also provide quantitative information related to the interest in gaseous fuel among industrial consumers and the analysis of the trend of natural gas consumption in Poland in the aspect of energy transition. The intention of the publication was to determine the macroeconomic indicators that strongly affect natural gas consumption by the Polish industry and the quantitative growth of consumption depending on changes in these indicators. The results showed that the highest correlation of the growth of natural gas consumption is related to the production of chemistry, the chemical industry, and the power industry.

Suggested Citation

  • Tomasz Chrulski & Mariusz Łaciak, 2021. "Analysis of Natural Gas Consumption Interdependence for Polish Industrial Consumers on the Basis of an Econometric Model," Energies, MDPI, vol. 14(22), pages 1-26, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:22:p:7649-:d:680001
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/22/7649/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/22/7649/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Helmut Farbmacher & Heinrich Kögel, 2017. "Testing under a special form of heteroscedasticity," Applied Economics Letters, Taylor & Francis Journals, vol. 24(4), pages 264-268, February.
    2. Damian Hasterok & Rui Castro & Marcin Landrat & Krzysztof Pikoń & Markus Doepfert & Hugo Morais, 2021. "Polish Energy Transition 2040: Energy Mix Optimization Using Grey Wolf Optimizer," Energies, MDPI, vol. 14(2), pages 1-27, January.
    3. Cecilia Martinez-Castillo & Gonzalo Astray & Juan Carlos Mejuto, 2021. "Modelling and Prediction of Monthly Global Irradiation Using Different Prediction Models," Energies, MDPI, vol. 14(8), pages 1-16, April.
    4. Cheng, C.-L. & Shalabh, & Garg, G., 2014. "Coefficient of determination for multiple measurement error models," Journal of Multivariate Analysis, Elsevier, vol. 126(C), pages 137-152.
    5. Smith, L. Vanessa & Tarui, Nori & Yamagata, Takashi, 2021. "Assessing the impact of COVID-19 on global fossil fuel consumption and CO2 emissions," Energy Economics, Elsevier, vol. 97(C).
    6. Hamparsum Bozdogan, 1987. "Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 345-370, September.
    7. David A. Belsley, 1988. "A Guide to Using the Collinearity Diagnostics," Boston College Working Papers in Economics 190, Boston College Department of Economics.
    8. Iwona Bisaga & Long Seng To, 2021. "Funding and Delivery Models for Modern Energy Cooking Services in Displacement Settings: A Review," Energies, MDPI, vol. 14(14), pages 1-19, July.
    9. Radmehr, Riza & Henneberry, Shida Rastegari & Shayanmehr, Samira, 2021. "Renewable Energy Consumption, CO2 Emissions, and Economic Growth Nexus: A Simultaneity Spatial Modeling Analysis of EU Countries," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 13-27.
    10. Siti Norasyiqin Abdul Latif & Meng Soon Chiong & Srithar Rajoo & Asako Takada & Yoon-Young Chun & Kiyotaka Tahara & Yasuyuki Ikegami, 2021. "The Trend and Status of Energy Resources and Greenhouse Gas Emissions in the Malaysia Power Generation Mix," Energies, MDPI, vol. 14(8), pages 1-26, April.
    11. Harkat, Tahar, 2019. "The Impact of Natural Gas Consumption on Industry Value Added in the Mediterranean Region," MPRA Paper 92492, University Library of Munich, Germany.
    12. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    13. Bulkani Bulkani & Sonedi Sonedi & Chandra Anugrah Putra, 2021. "The Natural Gas Consumption and Economic Development Nexus: Fresh Evidence from Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 607-614.
    14. W.J. Wouter Botzen & Tim Nees & Francisco Estrada, 2020. "Temperature Effects on Electricity and Gas Consumption: Empirical Evidence from Mexico and Projections under Future Climate Conditions," Sustainability, MDPI, vol. 13(1), pages 1-28, December.
    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. Eduardo Correia & Rodrigo Calili & José Francisco Pessanha & Maria Fatima Almeida, 2023. "Definition of Regulatory Targets for Electricity Non-Technical Losses: Proposition of an Automatic Model-Selection Technique for Panel Data Regressions," Energies, MDPI, vol. 16(6), pages 1-22, March.
    2. Stephen Chan & Jeffrey Chu & Saralees Nadarajah & Joerg Osterrieder, 2017. "A Statistical Analysis of Cryptocurrencies," JRFM, MDPI, vol. 10(2), pages 1-23, May.
    3. Emmanuel Afuecheta & Saralees Nadarajah & Stephen Chan, 2021. "A Statistical Analysis of Global Economies Using Time Varying Copulas," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1167-1194, December.
    4. Jeffrey Chu & Saralees Nadarajah & Stephen Chan, 2015. "Statistical Analysis of the Exchange Rate of Bitcoin," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-27, July.
    5. Emmanuel Afuecheta & Chigozie Utazi & Edmore Ranganai & Chibuzor Nnanatu, 2023. "An Application of Extreme Value Theory for Measuring Financial Risk in BRICS Economies," Annals of Data Science, Springer, vol. 10(2), pages 251-290, April.
    6. Oana Vlăduţ & George Eduard Grigore & Dumitru Alexandru Bodislav & Gabriel Ilie Staicu & Raluca Iuliana Georgescu, 2024. "Analysing the Connection between Economic Growth, Conventional Energy, and Renewable Energy: A Comparative Analysis of the Caspian Countries," Energies, MDPI, vol. 17(1), pages 1-30, January.
    7. Mehzabin Tuli, Farzana & Mitra, Suman & Crews, Mariah B., 2021. "Factors influencing the usage of shared E-scooters in Chicago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 164-185.
    8. Hideki Murakami & Yukari Matsuse & Koji Mukaigawa & Yushi Tsunoda, 2013. "Product lifecycle and choice of transportation modes: Japan' s evidence of import and export," Discussion Papers 2013-28, Kobe University, Graduate School of Business Administration.
    9. Ioana Gutu & Daniela Tatiana Agheorghiesei & Alexandru Tugui, 2023. "Assessment of a Workforce Sustainability Tool through Leadership and Digitalization," IJERPH, MDPI, vol. 20(2), pages 1-30, January.
    10. Michele Fratianni & Francesco Marchionne, 2011. "The Limits to Integration," Chapters, in: Miroslav N. Jovanović (ed.), International Handbook on the Economics of Integration, Volume I, chapter 9, Edward Elgar Publishing.
    11. Javed, Hasnain & Du, Jianguo & Iqbal, Shuja & Nassani, Abdelmohsen A. & Basheer, Muhammad Farhan, 2024. "The impact of mineral resource abundance on environmental degradation in ten mineral- rich countries: Do the green innovation and financial technology matter?," Resources Policy, Elsevier, vol. 90(C).
    12. Daniela Andreini & Diego Rinallo & Giuseppe Pedeliento & Mara Bergamaschi, 2017. "Brands and Religion in the Secularized Marketplace and Workplace: Insights from the Case of an Italian Hospital Renamed After a Roman Catholic Pope," Journal of Business Ethics, Springer, vol. 141(3), pages 529-550, March.
    13. Tadashi Kikuchi, 2014. "Vietnamese Inter – regional labor migration: system approach to the modeling 1989, 1999, 2009," EcoMod2014 6998, EcoMod.
    14. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    15. Jean-Paul Azam & Catherine Bonjean, 1995. "La formation du prix du riz : théorie et application au cas d'Antananarivo (Madagascar) ," Revue Économique, Programme National Persée, vol. 46(4), pages 1145-1166.
    16. Nathaniel Geiger & Bryan McLaughlin & John Velez, 2021. "Not all boomers: temporal orientation explains inter- and intra-cultural variability in the link between age and climate engagement," Climatic Change, Springer, vol. 166(1), pages 1-20, May.
    17. Hossain, Mohammad Razib & Singh, Sanjeet & Sharma, Gagan Deep & Apostu, Simona-Andreea & Bansal, Pooja, 2023. "Overcoming the shock of energy depletion for energy policy? Tracing the missing link between energy depletion, renewable energy development and decarbonization in the USA," Energy Policy, Elsevier, vol. 174(C).
    18. Vittorio Nicolardi, 2009. "The effects of the new 1995 ESA methodologies of estimation on the structural analysis of Italian consumption," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(1), pages 125-149, March.
    19. Arthur Lewbel, 2012. "Using Heteroscedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 67-80.
    20. Raffaella Santolini, 2017. "Electoral Rules And Public Spending Composition: The Case Of Italian Regions," Contemporary Economic Policy, Western Economic Association International, vol. 35(3), pages 551-577, July.

    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:14:y:2021:i:22:p:7649-:d:680001. 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.