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Asymmetric Effects of Energy Inflation, Agri-inflation and CPI on Agricultural Output: Evidence from NARDL and SVAR Models for the UK

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  • Soliman, Alaa M.
  • Lau, Chi Keung
  • Cai, Yifei
  • Sarker, Provash Kumer
  • Dastgir, Shabbir

Abstract

This paper investigates the effects of inflation in the UK energy, agriculture and consumer sectors on agricultural output, using monthly data between February 2015 and October 2022. Existing studies on agricultural inflation – agflation – explore the impact on economic activity vis-a-vis unemployment, consumption, interest rates and agricultural production. In this paper, we consider some of the causes of agflation, particularly the role of energy prices that are of great importance at the time of writing, to the supply of food. In addition, we consider the broader context of energy price fluctuations and uncertainty. Our approach adopts a Non-Linear Autoregressive Distributed Lag (NARDL), Structural Vector Auto Regression model (SVAR), including impulse response analysis. Our findings suggest the increase in energy inflation agflation and CPI, adversely affect agricultural output, while decreases in energy inflation, agflation and CPI positively affect agricultural output in the UK. These should be of significant interest to hedge fund managers, institutional investors and economic policymakers, particularly with regard to hedging and portfolio risk diversification strategies.

Suggested Citation

  • Soliman, Alaa M. & Lau, Chi Keung & Cai, Yifei & Sarker, Provash Kumer & Dastgir, Shabbir, 2023. "Asymmetric Effects of Energy Inflation, Agri-inflation and CPI on Agricultural Output: Evidence from NARDL and SVAR Models for the UK," Energy Economics, Elsevier, vol. 126(C).
    • Handle: RePEc:eee:eneeco:v:126:y:2023:i:c:s0140988323004188
    DOI: 10.1016/j.eneco.2023.106920
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    1. Wei, Yu & Qin, Songkun & Li, Xiafei & Zhu, Sha & Wei, Guiwu, 2019. "Oil price fluctuation, stock market and macroeconomic fundamentals: Evidence from China before and after the financial crisis," Finance Research Letters, Elsevier, vol. 30(C), pages 23-29.
    2. Aye, Goodness C. & Odhiambo, Nicholas M., 2021. "Oil prices and agricultural growth in South Africa: A threshold analysis," Resources Policy, Elsevier, vol. 73(C).
    3. Abdullah Mohammed Almalki & Mehboob-ul Hassan & Md Fouad Bin Amin, 2022. "The asymmetric relationship between structural oil shocks and food prices: evidence from Saudi Arabia," Applied Economics, Taylor & Francis Journals, vol. 54(54), pages 6216-6233, November.
    4. Otaviano Canuto, 2022. "Emerging economies, global inflation, and growth deceleration," Policy notes & Policy briefs 1977, Policy Center for the New South.
    5. Brüggemann, Ralf & Jentsch, Carsten & Trenkler, Carsten, 2016. "Inference in VARs with conditional heteroskedasticity of unknown form," Journal of Econometrics, Elsevier, vol. 191(1), pages 69-85.
    6. Caldara, Dario & Fuentes-Albero, Cristina & Gilchrist, Simon & Zakrajšek, Egon, 2016. "The macroeconomic impact of financial and uncertainty shocks," European Economic Review, Elsevier, vol. 88(C), pages 185-207.
    7. Chen, Yu-chin & Turnovsky, Stephen J. & Zivot, Eric, 2014. "Forecasting inflation using commodity price aggregates," Journal of Econometrics, Elsevier, vol. 183(1), pages 117-134.
    8. Kyle Jurado & Sydney C. Ludvigson & Serena Ng, 2015. "Measuring Uncertainty," American Economic Review, American Economic Association, vol. 105(3), pages 1177-1216, March.
    9. Shahzad, Syed Jawad Hussain & Hernandez, Jose Arreola & Al-Yahyaee, Khamis Hamed & Jammazi, Rania, 2018. "Asymmetric risk spillovers between oil and agricultural commodities," Energy Policy, Elsevier, vol. 118(C), pages 182-198.
    10. Chattopadhyay, Manojit & Kumar Mitra, Subrata, 2015. "Exploring asymmetric behavior pattern from Indian oil products prices using NARDL and GHSOM approaches," Energy Policy, Elsevier, vol. 86(C), pages 262-272.
    11. Mr. Anil Ari & Mr. Nicolas Arregui & Mr. Simon Black & Oya Celasun & Ms. Dora M Iakova & Ms. Aiko Mineshima & Mr. Victor Mylonas & Ian W.H. Parry & Iulia Teodoru & Karlygash Zhunussova, 2022. "Surging Energy Prices in Europe in the Aftermath of the War: How to Support the Vulnerable and Speed up the Transition Away from Fossil Fuels," IMF Working Papers 2022/152, International Monetary Fund.
    12. Lee, Kiseok & Kang, Wensheng & Ratti, Ronald A., 2011. "Oil Price Shocks, Firm Uncertainty, And Investment," Macroeconomic Dynamics, Cambridge University Press, vol. 15(S3), pages 416-436, November.
    13. Zhang, Dayong & Broadstock, David C. & Cao, Hong, 2014. "International oil shocks and household consumption in China," Energy Policy, Elsevier, vol. 75(C), pages 146-156.
    14. Nasir, Muhammad Ali & Vo, Xuan Vinh, 2020. "A quarter century of inflation targeting & structural change in exchange rate pass-through: Evidence from the first three movers," Structural Change and Economic Dynamics, Elsevier, vol. 54(C), pages 42-61.
    15. Pham, Thu Anh Thi & Nguyen, Thong Trung & Nasir, Muhammad Ali & Duc Huynh, Toan Luu, 2023. "Exchange rate pass-through: A comparative analysis of inflation targeting & non-targeting ASEAN-5 countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 158-167.
    16. Lau, Chi Keung & Soliman, Alaa M. & Albasu, Joseph & Gozgor, Giray, 2023. "Dependence structures among geopolitical risks, energy prices, and carbon emissions prices," Resources Policy, Elsevier, vol. 83(C).
    17. Kumar, Satish & Tiwari, Aviral Kumar & Raheem, Ibrahim Dolapo & Hille, Erik, 2021. "Time-varying dependence structure between oil and agricultural commodity markets: A dependence-switching CoVaR copula approach," Resources Policy, Elsevier, vol. 72(C).
    18. Lutz Kilian & Robert J. Vigfusson, 2013. "Do Oil Prices Help Forecast U.S. Real GDP? The Role of Nonlinearities and Asymmetries," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(1), pages 78-93, January.
    19. Philip Abbott & Adeline Borot de Battisti, 2011. "Recent Global Food Price Shocks: Causes, Consequences and Lessons for African Governments and Donors-super- †," Journal of African Economies, Centre for the Study of African Economies, vol. 20(suppl_1), pages -62, May.
    20. Sadorsky, Perry, 1999. "Oil price shocks and stock market activity," Energy Economics, Elsevier, vol. 21(5), pages 449-469, October.
    21. Masih, Rumi & Peters, Sanjay & De Mello, Lurion, 2011. "Oil price volatility and stock price fluctuations in an emerging market: Evidence from South Korea," Energy Economics, Elsevier, vol. 33(5), pages 975-986, September.
    22. Sadath, Anver C. & Acharya, Rajesh H., 2015. "Effects of energy price rise on investment: Firm level evidence from Indian manufacturing sector," Energy Economics, Elsevier, vol. 49(C), pages 516-522.
    23. Mensi, Walid & Hammoudeh, Shawkat & Nguyen, Duc Khuong & Kang, Sang Hoon, 2016. "Global financial crisis and spillover effects among the U.S. and BRICS stock markets," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 257-276.
    24. Liu, Xiang-dong & Pan, Fei & Yuan, Lin & Chen, Yu-wang, 2019. "The dependence structure between crude oil futures prices and Chinese agricultural commodity futures prices: Measurement based on Markov-switching GRG copula," Energy, Elsevier, vol. 182(C), pages 999-1012.
    25. Bouri, Elie, 2015. "Return and volatility linkages between oil prices and the Lebanese stock market in crisis periods," Energy, Elsevier, vol. 89(C), pages 365-371.
    26. Steffen R. Henzel & Malte Rengel, 2017. "Dimensions Of Macroeconomic Uncertainty: A Common Factor Analysis," Economic Inquiry, Western Economic Association International, vol. 55(2), pages 843-877, April.
    27. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    28. Wei Su, Chi & Wang, Xiao-Qing & Tao, Ran & Oana-Ramona, Lobonţ, 2019. "Do oil prices drive agricultural commodity prices? Further evidence in a global bio-energy context," Energy, Elsevier, vol. 172(C), pages 691-701.
    29. Sun, Yanpeng & Mirza, Nawazish & Qadeer, Abdul & Hsueh, Hsin-Pei, 2021. "Connectedness between oil and agricultural commodity prices during tranquil and volatile period. Is crude oil a victim indeed?," Resources Policy, Elsevier, vol. 72(C).
    30. Chang, Youngho & Wong, Joon Fong, 2003. "Oil price fluctuations and Singapore economy," Energy Policy, Elsevier, vol. 31(11), pages 1151-1165, September.
    31. Eissa, Mohamad Abdelaziz & Al Refai, Hisham, 2019. "Modelling the symmetric and asymmetric relationships between oil prices and those of corn, barley, and rapeseed oil," Resources Policy, Elsevier, vol. 64(C).
    32. Sadorsky, Perry, 2001. "Risk factors in stock returns of Canadian oil and gas companies," Energy Economics, Elsevier, vol. 23(1), pages 17-28, January.
    33. Beckman, Jayson & Hertel, Thomas & Tyner, Wallace, 2011. "Validating energy-oriented CGE models," Energy Economics, Elsevier, vol. 33(5), pages 799-806, September.
    34. Tang, Yumei & Chen, Xihui Haviour & Sarker, Provash Kumer & Baroudi, Sarra, 2023. "Asymmetric effects of geopolitical risks and uncertainties on green bond markets," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    35. Demir, Ender & Simonyan, Serdar & García-Gómez, Conrado-Diego & Lau, Chi Keung Marco, 2021. "The asymmetric effect of bitcoin on altcoins: evidence from the nonlinear autoregressive distributed lag (NARDL) model," Finance Research Letters, Elsevier, vol. 40(C).
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    Cited by:

    1. Bossman, Ahmed & Gubareva, Mariya & Teplova, Tamara, 2023. "Asymmetric effects of market uncertainties on agricultural commodities," Energy Economics, Elsevier, vol. 127(PB).

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    More about this item

    Keywords

    Agri-inflation; Energy inflation; NARDL; SVAR;
    All these keywords.

    JEL classification:

    • P18 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Energy; Environment
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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