TY - JOUR
T1 - Asymmetric Effects of Energy Inflation, Agri-inflation and CPI on Agricultural Output
T2 - Evidence from NARDL and SVAR Models for the UK
AU - Soliman, Alaa M.
AU - Lau, Chi Keung
AU - Cai, Yifei
AU - Sarker, Provash Kumer
AU - Dastgir, Shabbir
N1 - Publisher Copyright:
© 2023
PY - 2023/10/1
Y1 - 2023/10/1
N2 - 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.
AB - 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.
KW - Agri-inflation
KW - Energy inflation
KW - NARDL
KW - SVAR
UR - http://www.scopus.com/inward/record.url?scp=85167430963&partnerID=8YFLogxK
U2 - 10.1016/j.eneco.2023.106920
DO - 10.1016/j.eneco.2023.106920
M3 - Article
AN - SCOPUS:85167430963
VL - 126
JO - Energy Economics
JF - Energy Economics
SN - 0141-8130
M1 - 106920
ER -