IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v71y2018icp261-270.html
   My bibliography  Save this article

Energy crops, the edible oil processing industry and land use paradigms in Romania–An economic analysis

Author

Listed:
  • Turek Rahoveanu, Adrian
  • Turek Rahoveanu, Maria Magdalena
  • Ion, Raluca Andreea

Abstract

The purpose of this research is to explore the issue of the land used for sunflower and its production as raw material for edible oil processing industry in Romania. The relations between consumption, as main component of demand, and production and import, as sources of supply, on the sunflower oil market are investigated. The case study of the edible oil market is discussed because of the alarming growth in imports after Romania’s accession to the European Union and, furthermore, because of sunflower crop implications on land use in the context of the food vs. fuel competition. The research answers the issue of the factorial relations between sunflower oil production, import and consumption, as well as the issue of the extent to which the consumption requirements can be met by domestic production. In pursuing this, data regarding the sunflower oil consumption, production and import are computed to investigate their interdependence, using the regression model. The main findings reveal that a one-unit increase in sunflower oil consumption leads to a growth of 0.13 units in oil production, and of 0.19 in oil imports, respectively. The relevance of this study lies in its capacity to lead to better understanding of the interdependence among sunflower oil consumption, production and import, in predicting them, and, furthermore, in identifying investment opportunities in the Romanian sunflower oil processing industry, given the significant potential of sunflower seeds production of this country.

Suggested Citation

  • Turek Rahoveanu, Adrian & Turek Rahoveanu, Maria Magdalena & Ion, Raluca Andreea, 2018. "Energy crops, the edible oil processing industry and land use paradigms in Romania–An economic analysis," Land Use Policy, Elsevier, vol. 71(C), pages 261-270.
  • Handle: RePEc:eee:lauspo:v:71:y:2018:i:c:p:261-270
    DOI: 10.1016/j.landusepol.2017.12.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837717307755
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.landusepol.2017.12.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Olper, Alessandro & Pacca, Lucia & Curzi, Daniele, 2014. "Trade, import competition and productivity growth in the food industry," Food Policy, Elsevier, vol. 49(P1), pages 71-83.
    2. Soderbery, Anson, 2015. "Estimating import supply and demand elasticities: Analysis and implications," Journal of International Economics, Elsevier, vol. 96(1), pages 1-17.
    3. Jean Andrei & Mihai Mieila & Gheorghe H. Popescu & Elvira Nica & Manole Cristina, 2016. "The Impact and Determinants of Environmental Taxation on Economic Growth Communities in Romania," Energies, MDPI, vol. 9(11), pages 1-11, November.
    4. Nazlioglu, Saban & Soytas, Ugur, 2011. "World oil prices and agricultural commodity prices: Evidence from an emerging market," Energy Economics, Elsevier, vol. 33(3), pages 488-496, May.
    5. Amano, Robert A. & Wirjanto, Tony S., 1996. "Intertemporal substitution, imports and the permanent income model," Journal of International Economics, Elsevier, vol. 40(3-4), pages 439-457, May.
    6. Dorel Dusmanescu & Jean Andrei & Gheorghe H. Popescu & Elvira Nica & Mirela Panait, 2016. "Heuristic Methodology for Estimating the Liquid Biofuel Potential of a Region," Energies, MDPI, vol. 9(9), pages 1-19, August.
    7. CHEN, Chuanglian & CHEN, Guojin & YAO, Shujie, 2012. "Do imports crowd out domestic consumption? A comparative study of China, Japan and Korea," China Economic Review, Elsevier, vol. 23(4), pages 1036-1050.
    8. Hassouneh, Islam & Serra, Teresa & Goodwin, Barry K. & Gil, José M., 2012. "Non-parametric and parametric modeling of biodiesel, sunflower oil, and crude oil price relationships," Energy Economics, Elsevier, vol. 34(5), pages 1507-1513.
    9. Nazlioglu, Saban, 2011. "World oil and agricultural commodity prices: Evidence from nonlinear causality," Energy Policy, Elsevier, vol. 39(5), pages 2935-2943, May.
    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. Karel Janda & Ladislav Kristoufek, 2019. "The relationship between fuel and food prices: Methods, outcomes, and lessons for commodity price risk management," CAMA Working Papers 2019-20, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. Filip, Ondrej & Janda, Karel & Kristoufek, Ladislav & Zilberman, David, 2019. "Food versus fuel: An updated and expanded evidence," Energy Economics, Elsevier, vol. 82(C), pages 152-166.
    3. Korhan K. Gokmenoglu & Hasan Güngör & Festus Victor Bekun, 2021. "Revisiting the linkage between oil and agricultural commodity prices: Panel evidence from an Agrarian state," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5610-5620, October.
    4. Yoon, Seong-Min, 2022. "On the interdependence between biofuel, fossil fuel and agricultural food prices: Evidence from quantile tests," Renewable Energy, Elsevier, vol. 199(C), pages 536-545.
    5. Karel Janda & Ladislav Krištoufek, 2019. "The Relationship Between Fuel and Food Prices: Methods and Outcomes," Annual Review of Resource Economics, Annual Reviews, vol. 11(1), pages 195-216, October.
    6. Debdatta Pal & Subrata K. Mitra, 2017. "Diesel and soybean price relationship in the USA: evidence from a quantile autoregressive distributed lag model," Empirical Economics, Springer, vol. 52(4), pages 1609-1626, June.
    7. Nazlioglu, Saban & Erdem, Cumhur & Soytas, Ugur, 2013. "Volatility spillover between oil and agricultural commodity markets," Energy Economics, Elsevier, vol. 36(C), pages 658-665.
    8. Kang, Sang Hoon & Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu & Yoon, Seong-Min, 2019. "Exploring the time-frequency connectedness and network among crude oil and agriculture commodities V1," Energy Economics, Elsevier, vol. 84(C).
    9. Hanif, Waqas & Areola Hernandez, Jose & Shahzad, Syed Jawad Hussain & Yoon, Seong-Min, 2021. "Tail dependence risk and spillovers between oil and food prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 195-209.
    10. Serra, Teresa & Zilberman, David, 2013. "Biofuel-related price transmission literature: A review," Energy Economics, Elsevier, vol. 37(C), pages 141-151.
    11. Cagli, Efe Caglar & Taskin, Dilvin & Evrim Mandaci, Pınar, 2019. "The short- and long-run efficiency of energy, precious metals, and base metals markets: Evidence from the exponential smooth transition autoregressive models," Energy Economics, Elsevier, vol. 84(C).
    12. Karakotsios, Achillefs & Katrakilidis, Constantinos & Kroupis, Nikolaos, 2021. "The dynamic linkages between food prices and oil prices. Does asymmetry matter?," The Journal of Economic Asymmetries, Elsevier, vol. 23(C).
    13. Salisu, Afees A. & Adekunle, Wasiu & Alimi, Wasiu A. & Emmanuel, Zachariah, 2019. "Predicting exchange rate with commodity prices: New evidence from Westerlund and Narayan (2015) estimator with structural breaks and asymmetries," Resources Policy, Elsevier, vol. 62(C), pages 33-56.
    14. Ren, Weijie & Li, Baisong & Han, Min, 2020. "A novel Granger causality method based on HSIC-Lasso for revealing nonlinear relationship between multivariate time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    15. Yip, Pick Schen & Brooks, Robert & Do, Hung Xuan & Nguyen, Duc Khuong, 2020. "Dynamic volatility spillover effects between oil and agricultural products," International Review of Financial Analysis, Elsevier, vol. 69(C).
    16. Cheng, Sheng & Cao, Yan, 2019. "On the relation between global food and crude oil prices: An empirical investigation in a nonlinear framework," Energy Economics, Elsevier, vol. 81(C), pages 422-432.
    17. Loretta Mastroeni & Alessandro Mazzoccoli & Greta Quaresima & Pierluigi Vellucci, 2021. "Wavelet analysis and energy-based measures for oil-food price relationship as a footprint of financialisation effect," Papers 2104.11891, arXiv.org, revised Mar 2022.
    18. Tule, Moses K. & Salisu, Afees A. & Chiemeke, Charles C., 2019. "Can agricultural commodity prices predict Nigeria's inflation?," Journal of Commodity Markets, Elsevier, vol. 16(C).
    19. Rosa, Franco & Vasciaveo, Michela & Weaver, Robert D., 2014. "Agricultural and oil commodities: price transmission and market integration between US and Italy," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 3(2), pages 1-25, August.
    20. Mensi, Walid & Hammoudeh, Shawkat & Nguyen, Duc Khuong & Yoon, Seong-Min, 2014. "Dynamic spillovers among major energy and cereal commodity prices," Energy Economics, Elsevier, vol. 43(C), pages 225-243.

    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:eee:lauspo:v:71:y:2018:i:c:p:261-270. 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: Joice Jiang (email available below). General contact details of provider: https://www.journals.elsevier.com/land-use-policy .

    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.