Work

Forecasting the export competitiveness of Peruvian coffee in major importing countries usingautoregressive integrated moving average modeling

Year: 2024

Type: article

Abstract: The study analyzes the export competitiveness of Peruvian coffee in international markets using the ARIMA model to forecast export trends. The objective is to identify factors influencing the sector's profitability and sustainability. Time series of export volumes and prices were evaluated, revealing that the ARIMA model allows for accurate predictions of future trends. The results suggest that the Peruvian coffee sector faces challenges related to international price fluctuations and global competition. Emphasis is placed on the importance of efficiency in production and export processes to maintain and enhance the competitiveness of Peruvian coffee in the global market.

Source: Revista Científica Pakamuros

DOI: 10.37787/s7ztng79

Authors: Roger Francisco Abanto Duran, Flor Rosmery Cabrera Sernaque, Jose Ronald Ruiz Sirlopu, Juan Jose Rodriguez Moncada

Institutions: National University of Trujillo, Universidad Señor de Sipán

Language: English

Topic: Global Trade and Competitiveness

Subfield: Strategy and Management

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: diamond

OpenAlex ID: W4403014181

FWCI: 0.349

Cites:

Cited by: 1

Related to: 10