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Impact of nonrenewable on renewable energy: The case of wood pellets

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  • Xian, Hui
  • Gregory, Colson
  • Michael, Wetzstein

Abstract

Over the past decade, the U.S. Southeast has experienced a rapid expansion of wood-pellet biomass production for European export. This renewable wood-pellet supply requires nonrenewable-energy inputs in its manufacturing and logistics, which suggests possible price-volatility spillovers between renewable and nonrenewable markets. A BEKK-MGARCH model is employed for investigating these possible price-volatility spillovers. Overall, results suggest a limited negative effect of past volatile nonrenewable-energy prices influencing current wood-pellet price volatility. Specifically, high volatilities in nonrenewable-energy prices do not affect the volatility of wood-pellet prices. Thus, any stability concerns in terms of nonrenewable-input prices affecting the wood-pellet market are not warranted.
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Suggested Citation

  • Xian, Hui & Gregory, Colson & Michael, Wetzstein, 2015. "Impact of nonrenewable on renewable energy: The case of wood pellets," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196833, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saea15:196833
    DOI: 10.22004/ag.econ.196833
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    as
    1. Asger Lunde & Peter R. Hansen, 2005. "A forecast comparison of volatility models: does anything beat a GARCH(1,1)?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(7), pages 873-889.
    2. Moiseyev, Alexander & Solberg, Birger & Kallio, A. Maarit I., 2013. "Wood biomass use for energy in Europe under different assumptions of coal, gas and CO2 emission prices and market conditions," Journal of Forest Economics, Elsevier, vol. 19(4), pages 432-449.
    3. Ince, Peter J. & Kramp, Andrew D. & Skog, Kenneth E. & Yoo, Do-il & Sample, V. Alaric, 2011. "Modeling future U.S. forest sector market and trade impacts of expansion in wood energy consumption," Journal of Forest Economics, Elsevier, vol. 17(2), pages 142-156, April.
    4. Teresa Serra & David Zilberman & José Gil, 2011. "Price volatility in ethanol markets," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 38(2), pages 259-280, June.
    5. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(1), pages 122-150, February.
    6. Wang, Sun Ling & McPhail, Lihong Lu, 2012. "Impacts of Energy Shocks on US Agricultural Productivity Growth and Food Prices —A Structural VAR Analysis," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124892, Agricultural and Applied Economics Association.
    7. Zhang, Zibin & Vedenov, Dmitry V. & Wetzstein, Michael E., 2007. "Can the U.S. Ethanol Industry Compete in the Alternative Fuels' Market?," 2007 Annual Meeting, February 4-7, 2007, Mobile, Alabama 34867, Southern Agricultural Economics Association.
    8. López Cabrera, Brenda & Schulz, Franziska, 2016. "Volatility linkages between energy and agricultural commodity prices," Energy Economics, Elsevier, vol. 54(C), pages 190-203.
    9. Yang, Q. & Chen, G.Q., 2012. "Nonrenewable energy cost of corn-ethanol in China," Energy Policy, Elsevier, vol. 41(C), pages 340-347.
    10. Helmut Lütkepohl & Aleksei NetŠunajev, 2014. "Disentangling Demand And Supply Shocks In The Crude Oil Market: How To Check Sign Restrictions In Structural Vars," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 479-496, April.
    11. Xian, Hui & Colson, Gregory & Mei, Bin & Wetzstein, Michael E., 2015. "Co-firing coal with wood pellets for U.S. electricity generation: A real options analysis," Energy Policy, Elsevier, vol. 81(C), pages 106-116.
    12. Lutz Kilian, 2010. "Explaining Fluctuations in Gasoline Prices: A Joint Model of the Global Crude Oil Market and the U.S. Retail Gasoline Market," The Energy Journal, , vol. 31(2), pages 87-112, April.
    13. Latta, Gregory S. & Baker, Justin S. & Beach, Robert H. & Rose, Steven K. & McCarl, Bruce A., 2013. "A multi-sector intertemporal optimization approach to assess the GHG implications of U.S. forest and agricultural biomass electricity expansion," Journal of Forest Economics, Elsevier, vol. 19(4), pages 361-383.
    14. Du, Xiaodong & Yu, Cindy L. & Hayes, Dermot J., 2011. "Speculation and volatility spillover in the crude oil and agricultural commodity markets: A Bayesian analysis," Energy Economics, Elsevier, vol. 33(3), pages 497-503, May.
    15. Nazlioglu, Saban & Erdem, Cumhur & Soytas, Ugur, 2013. "Volatility spillover between oil and agricultural commodity markets," Energy Economics, Elsevier, vol. 36(C), pages 658-665.
    16. Efimova, Olga & Serletis, Apostolos, 2014. "Energy markets volatility modelling using GARCH," Energy Economics, Elsevier, vol. 43(C), pages 264-273.
    17. Galik, Christopher S., 2015. "Exploring the determinants of emerging bioenergy market participation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 107-116.
    18. Lutz Kilian & Daniel P. Murphy, 2014. "The Role Of Inventories And Speculative Trading In The Global Market For Crude Oil," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 454-478, April.
    19. Wang, Sun Ling & McPhail, Lihong, 2014. "Impacts of energy shocks on US agricultural productivity growth and commodity prices—A structural VAR analysis," Energy Economics, Elsevier, vol. 46(C), pages 435-444.
    20. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    21. Joshi, Omkar & Grebner, Donald L. & Hussain, Anwar & Grado, Stephen C., 2013. "Landowner knowledge and willingness to supply woody biomass for wood-based bioenergy: Sample selection approach," Journal of Forest Economics, Elsevier, vol. 19(2), pages 97-109.
    22. Wang, Yudong & Wu, Chongfeng & Yang, Li, 2014. "Oil price shocks and agricultural commodity prices," Energy Economics, Elsevier, vol. 44(C), pages 22-35.
    23. Lutkepohl, Helmut & Reimers, Hans-Eggert, 1992. "Impulse response analysis of cointegrated systems," Journal of Economic Dynamics and Control, Elsevier, vol. 16(1), pages 53-78, January.
    24. Sims, Christopher A & Stock, James H & Watson, Mark W, 1990. "Inference in Linear Time Series Models with Some Unit Roots," Econometrica, Econometric Society, vol. 58(1), pages 113-144, January.
    25. Christian Habermann & Fabian Kindermann, 2007. "Multidimensional Spline Interpolation: Theory and Applications," Computational Economics, Springer;Society for Computational Economics, vol. 30(2), pages 153-169, September.
    26. Zibin Zhang & Luanne Lohr & Cesar Escalante & Michael Wetzstein, 2009. "Ethanol, Corn, and Soybean Price Relations in a Volatile Vehicle-Fuels Market," Energies, MDPI, vol. 2(2), pages 1-20, June.
    27. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    28. Verbruggen, Aviel & Fischedick, Manfred & Moomaw, William & Weir, Tony & Nadaï, Alain & Nilsson, Lars J. & Nyboer, John & Sathaye, Jayant, 2010. "Renewable energy costs, potentials, barriers: Conceptual issues," Energy Policy, Elsevier, vol. 38(2), pages 850-861, February.
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    Cited by:

    1. Afees A. Salisu & Raymond Swaray, 2020. "Forecasting the Return Volatility of Energy Prices: A GARCH-MIDAS Approach," World Scientific Book Chapters, in: Stéphane Goutte & Duc Khuong Nguyen (ed.), HANDBOOK OF ENERGY FINANCE Theories, Practices and Simulations, chapter 3, pages 47-71, World Scientific Publishing Co. Pte. Ltd..
    2. Shahnazi, Rouhollah & Dehghan Shabani, Zahra, 2020. "Do renewable energy production spillovers matter in the EU?," Renewable Energy, Elsevier, vol. 150(C), pages 786-796.
    3. Zhang, Qianxiao & Shah, Syed Ale Raza & Yang, Ling, 2022. "Modeling the effect of disaggregated renewable energies on ecological footprint in E5 economies: Do economic growth and R&D matter?," Applied Energy, Elsevier, vol. 310(C).

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    More about this item

    Keywords

    Environmental Economics and Policy; Resource /Energy Economics and Policy;

    JEL classification:

    • Q21 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Demand and Supply; Prices
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • Q31 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Demand and Supply; Prices
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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