Relationship between Terms of Trade and the GDP of the Mining Sector in Peru, 2000–2023

Autores/as

  • María Fernanda Martos Cabanillas Universidad César Vallejo
  • Antonio Rafael Rodríguez Abraham Universidad César Vallejo

DOI:

https://doi.org/10.18687/LEIRD2025.1.1.182

Palabras clave:

Terms of trade, mining GDP, Peruvian exports, commodity volatility, Spearman correlation

Resumen

This study analyses the relationship between terms of trade (ToT) and the GDP of Peru’s mining sector over the 2000–2023 period. Given the country's structural dependence on mineral exports, the investigation explores how international price fluctuations affect the sector’s performance. Using a quantitative, non-experimental and ex post facto design, the analysis applies Spearman’s correlation coefficient. Results reveal a moderate positive correlation (ρ = 0.530; p = 0.008) between ToT and mining GDP, indicating that variations in international trade prices significantly influence the sector’s economic output. The findings also highlight cyclical dynamics in export and import price indices, and the sensitivity of mineral production and export values to external shocks, such as the 2008 global crisis and the COVID-19 pandemic. The study advocates for export diversification, risk mitigation strategies, and the adoption of artificial intelligence to forecast price volatility and enhance macroeconomic resilience.

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Publicado

2025-12-09

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Articles

Cómo citar

Martos Cabanillas, M. F., & Rodríguez Abraham, A. R. (2025). Relationship between Terms of Trade and the GDP of the Mining Sector in Peru, 2000–2023. LACCEI, 2(13). https://doi.org/10.18687/LEIRD2025.1.1.182

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