IDEAS home Printed from https://ideas.repec.org/a/brc/journl/v45y2019i3p132-138.html
   My bibliography  Save this article

Econometric Models Of Oil Production In Romania

Author

Listed:
  • Dr. Victor Platon

    (CS I, Institute of National Economy)

  • Dr. Andreea Constantinescu

    (CS III, Institute of National Economy)

Abstract

Oil production is a major topic in the Europe 2030 Energy Strategy. The evolution of oil production during 1990-2018 is a fair indicator of the state of the Romanian national economy and of the trends at European level. The steady decrease in the quantities of extracted oil both at EU level and in Romania is representative for the new trends regarding energy resources and atmosphere pollution. It is a scientifically proven fact that oil production is a source of CO2 emissions, the main pollution factor in the world. The research presented in this article aims to identify an integrative model for oil production in Romania. This model will allow a better management of Romania's energy resources and the possibility of optimizing them in the future. Three time series models have been developed to model oil production. From their analysis, the most significant model was chosen, with the best indicators. The article aimed at achieving the following results: analysis of the structure and volume of oil production at national and EU level; achieving an integrative model of oil production in Romania; conclusions on oil production in Romania.

Suggested Citation

  • Dr. Victor Platon & Dr. Andreea Constantinescu, 2019. "Econometric Models Of Oil Production In Romania," Management Strategies Journal, Constantin Brancoveanu University, vol. 45(3), pages 132-138.
    • Handle: RePEc:brc:journl:v:45:y:2019:i:3:p:132-138
    as

    Download full text from publisher

    File URL: http://www.strategiimanageriale.ro/papers/190319.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Victor Platon & Simona Frone & Andreea Constantinescu & Sorina Jurist, 2010. "Current Perspectives and Challenges of Biofuel Production and Consumption," Romanian Journal of Economics, Institute of National Economy, vol. 31(2(40)), pages 107-128, December.
    2. David N. DeJong & Chetan Dave, 2007. "Introduction to Structural Macroeconometrics," Introductory Chapters, in: Structural Macroeconometrics, Princeton University Press.
    3. Victor PLATON & Andreea TURDEANU, 2006. "The Sustainable Development In The Eu And Romania: Comparative Analysis," Romanian Journal of Economics, Institute of National Economy, vol. 23(2(32)), pages 91-99, 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. Allan Wright & Patrice Borda, 2016. "Macroeconomic Fluctuations Under Natural Disaster Shocks in Central America and the Caribbean," IDB Publications (Working Papers) 97076, Inter-American Development Bank.
    2. Andrés Fernández, 2010. "“Tropical” Real Business Cycles? A Bayesian Exploration," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 28(61), pages 60-105, August.
    3. Martin Seneca, 2010. "A DSGE model for Iceland," Economics wp50, Department of Economics, Central bank of Iceland.
    4. Vasco Gabriel & Paul Levine & Joseph Pearlman & Bo Yang, 2010. "An Estimated DSGE Model of the Indian Economy," School of Economics Discussion Papers 1210, School of Economics, University of Surrey.
    5. Meenagh, David & Minford, Patrick & Wickens, Michael & Xu, Yongdeng, 2016. "What is the truth about DSGE models? Testing by indirect inference," Cardiff Economics Working Papers E2016/14, Cardiff University, Cardiff Business School, Economics Section.
    6. Cebreros Alfonso, 2016. "The Rewards of Self-Discovery: Learning and Firm Exporter Dynamics," Working Papers 2016-08, Banco de México.
    7. Piotr Krajewski, 2017. "Czy szacując efekty polityki makroekonomicznej należy uwzględniać perspektywę planowania gospodarstw domowych?," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 4, pages 39-61.
    8. Patrick Minford & Yue Gai & David Meenagh, 2022. "North and South: A Regional Model of the UK," Open Economies Review, Springer, vol. 33(3), pages 565-616, July.
    9. Damián Pierri, 2023. "Simulations in Models with Heterogeneous Agents, Incomplete Markets and Aggregate Uncertainty," Working Papers 259, Red Nacional de Investigadores en Economía (RedNIE).
    10. Robert B. Barsky & Eric R. Sims, 2012. "Information, Animal Spirits, and the Meaning of Innovations in Consumer Confidence," American Economic Review, American Economic Association, vol. 102(4), pages 1343-1377, June.
    11. Victor Platon & Andreea Constantinescu & Sorina Jurist, 2021. "Estimation and model selection in the case of time series. Application on natural gas production," Romanian Journal of Economics, Institute of National Economy, vol. 52(1(61)), pages 33-49, June.
    12. Hull, Isaiah, 2015. "Approximate dynamic programming with post-decision states as a solution method for dynamic economic models," Journal of Economic Dynamics and Control, Elsevier, vol. 55(C), pages 57-70.
    13. Ma, Yong, 2016. "Nonlinear monetary policy and macroeconomic stabilization in emerging market economies: Evidence from China," Economic Systems, Elsevier, vol. 40(3), pages 461-480.
    14. Shafik Hebous, 2011. "The Effects Of Discretionary Fiscal Policy On Macroeconomic Aggregates: A Reappraisal," Journal of Economic Surveys, Wiley Blackwell, vol. 25(4), pages 674-707, September.
    15. Pablo A. Guerrón-Quintana & James M. Nason, 2013. "Bayesian estimation of DSGE models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 21, pages 486-512, Edward Elgar Publishing.
    16. Minford, Patrick & Wickens, Michael R. & Meenagh, David, 2012. "Testing macroeconomic models by indirect inference on unfiltered data," CEPR Discussion Papers 9058, C.E.P.R. Discussion Papers.
    17. Andrzej Torój, 2009. "Solving Forward-Looking Models of Cross-Country Adjustment within the Euro Area," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 1(3), pages 211-241, November.
    18. Roberto Chang & Andrés Fernández, 2013. "On The Sources Of Aggregate Fluctuations In Emerging Economies," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(4), pages 1265-1293, November.
    19. Holden, Tom & Levine, Paul & Swarbrick, Jonathan, 2018. "Reconciling Jaimovich–Rebello preferences, habit in consumption and labor supply," Economics Letters, Elsevier, vol. 168(C), pages 132-137.
    20. Le, Vo Phuong Mai & Meenagh, David & Minford, Patrick & Wickens, Michael, 2011. "How much nominal rigidity is there in the US economy? Testing a new Keynesian DSGE model using indirect inference," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2078-2104.

    More about this item

    Keywords

    Oil production; statistical modelling; simple regression; polynomial equation;
    All these keywords.

    JEL classification:

    • Q32 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Exhaustible Resources and Economic Development
    • Q35 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Hydrocarbon Resources
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General

    Statistics

    Access and download statistics

    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:brc:journl:v:45:y:2019:i:3:p:132-138. 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: Dan MICUDA (email available below). General contact details of provider: http://www.univcb.ro/ .

    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.