TREND ANALYSIS AND FORECASTING OF COWPEA (Vigna unguiculata L) PRICES IN YOBE STATE, NIGERIA

In order to aid players in the cowpea industry in making timely decisions in the face of unclear future prices of cowpea, this study's primary goal was to determine the trend and predict future cowpea prices in Nigeria's Yobe State. The National Bureau of Statistics (NBS) database provided secondary data on the monthly price of cowpea in the study area between January 2016 and May 2023. The analysis was conducted using the Box-Jenkins methodology's ARIMA model and descriptive statistics. The outcome showed that cowpea price trend in January 2016 was at ₦229.05/kg and fluctuated upwards and downwards until December 2020. However, the trend continue rising in January 2021 at ₦243.01/kg and continuously increasing without typically declining up to May 2023. And with respect to the Forecasting, the data' stationarity was tested using graphical and formal tests, and found out that the data was not stationary at level but series remained stationary after applying first order difference. Model selection criteria proved that ARIMA (1.1.0) was the best model for the process. Diagnostic test confirm ARIMA (1.1.0)'s suitability for the forecasting. Seven months projected cowpea market prices were done. The trend and projected cowpea price were in continues increase. In view of these government should implement appropriate measures such as restricting cowpea export and eliminating import taxes of cowpea product in order to stabiles the price.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-01-01
Primary Topic
Agricultural pest management studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

TREND ANALYSIS AND FORECASTING OF COWPEA (Vigna unguiculata L) PRICES IN YOBE STATE, NIGERIA

SHILAP Revista de lepidopterología
Agricultural pest management studies
article

TREND ANALYSIS AND FORECASTING OF COWPEA (Vigna unguiculata L) PRICES IN YOBE STATE, NIGERIA

article en

Abstract

In order to aid players in the cowpea industry in making timely decisions in the face of unclear future prices of cowpea, this study's primary goal was to determine the trend and predict future cowpea prices in Nigeria's Yobe State. The National Bureau of Statistics (NBS) database provided secondary data on the monthly price of cowpea in the study area between January 2016 and May 2023. The analysis was conducted using the Box-Jenkins methodology's ARIMA model and descriptive statistics. The outcome showed that cowpea price trend in January 2016 was at ₦229.05/kg and fluctuated upwards and downwards until December 2020. However, the trend continue rising in January 2021 at ₦243.01/kg and continuously increasing without typically declining up to May 2023. And with respect to the Forecasting, the data' stationarity was tested using graphical and formal tests, and found out that the data was not stationary at level but series remained stationary after applying first order difference. Model selection criteria proved that ARIMA (1.1.0) was the best model for the process. Diagnostic test confirm ARIMA (1.1.0)'s suitability for the forecasting. Seven months projected cowpea market prices were done. The trend and projected cowpea price were in continues increase. In view of these government should implement appropriate measures such as restricting cowpea export and eliminating import taxes of cowpea product in order to stabiles the price.

SHILAP Revista de lepidopterología
Partnerships for the goals, Industry, innovation and infrastructure
Openalex Percentile: Top 35%
Agricultural pest management studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

TREND ANALYSIS AND FORECASTING OF COWPEA (Vigna unguiculata L) PRICES IN YOBE STATE, NIGERIA · SHILAP Revista de lepidopterología (2025) | TGRS Research Map | TGRS