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Do biofuel production and financial speculation in agricultural commodities influence African food prices? New evidence from a TVP-VAR extended joint connectedness approach

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  • Guo, Jin
  • Tanaka, Tetsuji

Abstract

Many African countries experienced social disorder and subsequent political instability as a result of global commodity price inflation in 2007–2008, which reaffirmed the importance of overseas factors such as biofuel production, international food and energy prices, and financial speculation. Biofuel, in particular, is often placed at the center of the debate around identifying potential determinants of food price hikes. We apply a time-varying parameter vector autoregressive (TVP-VAR) extended joint connectedness approach to uncover the dynamic connectivity of African food prices, US biofuel production, global energy and food prices, and financial speculation. The key findings are; 1) the results of averaged connectedness suggest that US biofuel production and financial speculation in agricultural commodities significantly influence African food prices; 2) the hefty surges in the dynamic connectedness between African food prices and four cross-border factors are triggered by global events like the 2000 dot-com bubble, the 2008 global commodity boom, and the 2020 COVID-19 pandemic; 3) arbitrage transactions transmitted intense shocks to African food prices between 2001 and 2012, while biofuel production constantly affected African food prices between 2001 and 2021. We draw pragmatic policy implications to prevent or mitigate market shock transmissions to African food markets.

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  • Guo, Jin & Tanaka, Tetsuji, 2022. "Do biofuel production and financial speculation in agricultural commodities influence African food prices? New evidence from a TVP-VAR extended joint connectedness approach," Energy Economics, Elsevier, vol. 116(C).
  • Handle: RePEc:eee:eneeco:v:116:y:2022:i:c:s0140988322005515
    DOI: 10.1016/j.eneco.2022.106422
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    as
    1. Chatziantoniou, Ioannis & Gabauer, David, 2021. "EMU risk-synchronisation and financial fragility through the prism of dynamic connectedness," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 1-14.
    2. Robles, Miguel & Torero, Maximo & von Braun, Joachim, 2009. "When speculation matters:," Issue briefs 57, International Food Policy Research Institute (IFPRI).
    3. Brian D. Wright, 2012. "International Grain Reserves And Other Instruments to Address Volatility in Grain Markets," The World Bank Research Observer, World Bank, vol. 27(2), pages 222-260, August.
    4. Irwin, Scott, 2020. "Ethanol Production Profits during the COVID Pandemic," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 10(148), August.
    5. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    6. Christopher L. Gilbert, 2010. "How to Understand High Food Prices," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(2), pages 398-425, June.
    7. Jun Yang & Huanguang Qiu & Jikun Huang & Scott Rozelle, 2008. "Fighting global food price rises in the developing world: the response of China and its effect on domestic and world markets," Agricultural Economics, International Association of Agricultural Economists, vol. 39(s1), pages 453-464, November.
    8. Jin Guo & Tetsuji Tanaka, 2019. "Determinants of international price volatility transmissions: the role of self-sufficiency rates in wheat-importing countries," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-13, December.
    9. Guo, Jin & Tanaka, Tetsuji, 2022. "Energy security versus food security: An analysis of fuel ethanol- related markets using the spillover index and partial wavelet coherence approaches," Energy Economics, Elsevier, vol. 112(C).
    10. Trujillo-Barrera, Andres & Mallory, Mindy L. & Garcia, Philip, 2012. "Volatility Spillovers in U.S. Crude Oil, Ethanol, and Corn Futures Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(2), pages 1-16, August.
    11. McPhail, Lihong Lu & Du, Xiaodong & Muhammad, Andrew, 2012. "Disentangling Corn Price Volatility: The Role of Global Demand, Speculation, and Energy," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 44(3), pages 401-410, August.
    12. Govinda R. Timilsina & John C. Beghin & Dominique van der Mensbrugghe & Simon Mevel, 2012. "The impacts of biofuels targets on land‐use change and food supply: A global CGE assessment," Agricultural Economics, International Association of Agricultural Economists, vol. 43(3), pages 315-332, May.
    13. Derek Headey & Shenggen Fan, 2008. "Anatomy of a crisis: the causes and consequences of surging food prices," Agricultural Economics, International Association of Agricultural Economists, vol. 39(s1), pages 375-391, November.
    14. Subramaniam, Yogeeswari & Masron, Tajul Ariffin & Azman, Nik Hadiyan Nik, 2019. "The impact of biofuels on food security," International Economics, Elsevier, vol. 160(C), pages 72-83.
    15. Lastrapes, William D. & Wiesen, Thomas F.P., 2021. "The joint spillover index," Economic Modelling, Elsevier, vol. 94(C), pages 681-691.
    16. Jin Guo & Tetsuji Tanaka, 2020. "Examining the determinants of global and local price passthrough in cereal markets: evidence from DCC-GJR-GARCH and panel analyses," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 8(1), pages 1-22, December.
    17. Dwight R. Sanders & Scott H. Irwin & Robert P. Merrin, 2010. "The Adequacy of Speculation in Agricultural Futures Markets: Too Much of a Good Thing?," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 32(1), pages 77-94.
    18. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    19. Whitney K. Newey & Kenneth D. West, 1994. "Automatic Lag Selection in Covariance Matrix Estimation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(4), pages 631-653.
    20. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    21. Haase, Marco & Seiler Zimmermann, Yvonne & Zimmermann, Heinz, 2016. "The impact of speculation on commodity futures markets – A review of the findings of 100 empirical studies," Journal of Commodity Markets, Elsevier, vol. 3(1), pages 1-15.
    22. Irwin, Scott H. & Sanders, Dwight R. & Merrin, Robert P., 2009. "Devil or Angel? The Role of Speculation in the Recent Commodity Price Boom (and Bust)," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 41(2), pages 377-391, August.
    23. Ceballos, Francisco & Hernandez, Manuel A. & Minot, Nicholas & Robles, Miguel, 2017. "Grain Price and Volatility Transmission from International to Domestic Markets in Developing Countries," World Development, Elsevier, vol. 94(C), pages 305-320.
    24. Jarque, Carlos M. & Bera, Anil K., 1980. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals," Economics Letters, Elsevier, vol. 6(3), pages 255-259.
    25. Cha, Kyung Soo & Bae, Jeong Hwan, 2011. "Dynamic impacts of high oil prices on the bioethanol and feedstock markets," Energy Policy, Elsevier, vol. 39(2), pages 753-760, February.
    26. Ge, Jianping & Lei, Yalin, 2017. "Policy options for non-grain bioethanol in China: Insights from an economy-energy-environment CGE model," Energy Policy, Elsevier, vol. 105(C), pages 502-511.
    27. Wimmer, Thomas & Geyer-Klingeberg, Jerome & Hütter, Marie & Schmid, Florian & Rathgeber, Andreas, 2021. "The impact of speculation on commodity prices: A Meta-Granger analysis," Journal of Commodity Markets, Elsevier, vol. 22(C).
    28. 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.
    29. Banerjee, Suvajit, 2021. "Conjugation of border and domestic carbon adjustment and implications under production and consumption-based accounting of India's National Emission Inventory: A recursive dynamic CGE analysis," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 68-86.
    30. Tetsuji Tanaka & Jin Guo, 2020. "How does the self-sufficiency rate affect international price volatility transmissions in the wheat sector? Evidence from wheat-exporting countries," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-13, December.
    31. Martin T. Bohl & Farrukh Javed & Patrick M. Stephan, 2013. "Do Commodity Index Traders Destabilize Agricultural Futures Prices?," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 59(2), pages 125-148.
    32. Alghalith, Moawia, 2010. "The interaction between food prices and oil prices," Energy Economics, Elsevier, vol. 32(6), pages 1520-1522, November.
    33. Jin Guo & Tetsuji Tanaka, 2022. "Potential factors in determining cross-border price spillovers in the pork sector: Evidence from net pork-importing countries," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-14, December.
    34. Berazneva, Julia & Lee, David R., 2013. "Explaining the African food riots of 2007–2008: An empirical analysis," Food Policy, Elsevier, vol. 39(C), pages 28-39.
    35. 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.
    36. Faaiqa Hartley & Dirk van Seventer & Emilio Tostão & Channing Arndt, 2019. "Economic impacts of developing a biofuel industry in Mozambique," Development Southern Africa, Taylor & Francis Journals, vol. 36(2), pages 233-249, March.
    37. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    38. Al-Riffai, Perrihan & Breisinger, Clemens & Mondal, Md. Hossain Alam & Ringler, Claudia & Wiebelt, Manfred & Zhu, Tingju, 2017. "Linking the economics of water, energy, and food: A nexus modeling approach," MENA working papers 4, International Food Policy Research Institute (IFPRI).
    39. repec:aeq:aeqaeq:v59_y2013_i1_q2_p125-148 is not listed on IDEAS
    40. Harri, Ardian & Nalley, Lanier & Hudson, Darren, 2009. "The Relationship between Oil, Exchange Rates, and Commodity Prices," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 41(2), pages 501-510, August.
    41. Dong, Baomin & Ma, Xili & Wang, Ningjing & Wei, Weixian, 2020. "Impacts of exchange rate volatility and international oil price shock on China's regional economy: A dynamic CGE analysis," Energy Economics, Elsevier, vol. 86(C).
    42. Georg V. Lehecka, 2014. "Have food and financial markets integrated?," Applied Economics, Taylor & Francis Journals, vol. 46(18), pages 2087-2095, June.
    43. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2020. "Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions," JRFM, MDPI, vol. 13(4), pages 1-23, April.
    44. Caloia, Francesco Giuseppe & Cipollini, Andrea & Muzzioli, Silvia, 2019. "How do normalization schemes affect net spillovers? A replication of the Diebold and Yilmaz (2012) study," Energy Economics, Elsevier, vol. 84(C).
    45. Balcilar, Mehmet & Gabauer, David & Umar, Zaghum, 2021. "Crude Oil futures contracts and commodity markets: New evidence from a TVP-VAR extended joint connectedness approach," Resources Policy, Elsevier, vol. 73(C).
    46. Nazlioglu, Saban, 2011. "World oil and agricultural commodity prices: Evidence from nonlinear causality," Energy Policy, Elsevier, vol. 39(5), pages 2935-2943, May.
    47. C. Peter Timmer, 2009. "Did Speculation Affect World Rice Prices?," Working Papers 09-07, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA).
    48. Marc F. Bellemare, 2015. "Rising Food Prices, Food Price Volatility, and Social Unrest," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(1), pages 1-21.
    49. Avalos, Fernando, 2014. "Do oil prices drive food prices? The tale of a structural break," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 253-271.
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    More about this item

    Keywords

    Biofuel production; African food prices; Speculation in agricultural commodities; Dynamic connectedness; TVP-VAR;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • N57 - Economic History - - Agriculture, Natural Resources, Environment and Extractive Industries - - - Africa; Oceania

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