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Journals / Alanya Akademik Bakış / 2018 / Cilt: 2 - Sayı: 3

Productivity Determinants of Potato in Nigeria: An Autoregressive Distributed Lag Model Approach

Ndubuisi Chigozirim Onwusiribe
Nnanna Mba Agwu
Jude Anayochukwu Mbanasor
Pages
259–274
Publication Date
2018-09-30
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The findings revealed that variables such as capital, land, fertilizer and prices were significant both in the long-run and short-run while rainfall and temperature were insignificant in the short-run.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study examined the productivity determinants of potato in Nigeria.
📊
Key Findings & Data:The data for this study were extracted from secondary sources for a period of 1961-2016.
💡
Conclusion & Impact:The findings revealed that variables such as capital, land, fertilizer and prices were significant both in the long-run and short-run while rainfall and temperature were insignificant in the short-run.
🔬Design:Modeling & Simulation
📍Scope:2016 Verileri
⚙️Variables:Potato · Determinants · Productivity

Abstract

This study examined the productivity determinants of potato in Nigeria. The data for this study were extracted from secondary sources for a period of 1961-2016. The Autoregressive Distributed Lag (ARDL) model was adopted. The findings revealed that variables such as capital, land, fertilizer and prices were significant both in the long-run and short-run while rainfall and temperature were insignificant in the short-run. The study recommends among others that access to capital by the potato farmers should be increased by making more capital available for loans and grants at a reduced interest rate and that the land tenure system in operation should be made flexible to enable potato farmers access more land to enable mechanization and increased output.

Özet

This study examined the productivity determinants of potato in Nigeria. The data for this study were extracted from secondary sources for a period of 1961-2016. The Autoregressive Distributed Lag (ARDL) model was adopted. The findings revealed that variables such as capital, land, fertilizer and prices were significant both in the long-run and short-run while rainfall and temperature were insignificant in the short-run. The study recommends among others that access to capital by the potato farmers should be increased by making more capital available for loans and grants at a reduced interest rate and that the land tenure system in operation should be made flexible to enable potato farmers access more land to enable mechanization and increased output.

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Cite This Article

Onwusiribe, N. C., Agwu, N. M., Mbanasor, J. A. (2018). Productivity Determinants of Potato in Nigeria: An Autoregressive Distributed Lag Model Approach. Alanya Akademik Bakış, Cilt: 2 - Sayı: 3, 259–274. https://ajindex.com/articles/457147

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