Exploring the Effects of Oil and Gas Prices on Industrial Production in Colombia: A Quantile Regression Analysis

Juan Manuel Candelo-Viafara, Andres Oviedo-Gomez and Maria Del Pilar Rivera-Diaz
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Juan Manuel Candelo-Viafara: PhD in Management, Universidad del Valle, Colombia,
Andres Oviedo-Gomez: PhD Candidate in Engineering, Universidad del Valle, Colombia,
Maria Del Pilar Rivera-Diaz: Master’s in occupational risk Prevention, University of Málaga, Spain.

International Journal of Energy Economics and Policy, 2023, vol. 13, issue 6, 364-369

Abstract: This study examines the impact of oil and gas prices on industrial production in Colombia between 1997 and 2022 using the quantile regression methodology (QR) to evaluate seasonality and nonlinear effects on the distribution of the industrial sector, the findings indicate that when industrial production is at low levels, fluctuations in gas prices have minimal impact. Conversely, when industrial production is at medium levels, gas prices have a significant negative impact, while at high levels (above the sixth decile), gas prices have a negative but not significant impact. On the other hand, oil prices generate positive and significant impacts at medium and high production levels. The study concludes that increasing gas production in the country would lead to a reduction in its price, decrease costs, and increase national production, additionally, gas production can be a viable element in energy transition, as it strengthens sectors of the economy other than oil.

Keywords: Oil Prices; Gas Prices; Industrial Production; GDP; Energy; Quantile Regression (search for similar items in EconPapers)
JEL-codes: E31 E32 E44 (search for similar items in EconPapers)
Date: 2023
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