The causal-effect model of input factor allocation on maize production: Using binary logistic regression in search for ways to be more productive

The causal-effect model of input factor allocation on maize production: Using binary logistic regression in search for ways to be more productive

This study delved into the impact of input factor allocation on maize production, seeking to identify strategies for enhancing productivity. The primary data for this study were collected from maize farmer households and analyzed using the binary logistic regression model (BLRM). Consequently, the s...

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Bibliographic Details
Main Authors: Muslim Salam, Rusli M. Rukka, Muh An-Nashrullah K. Samma, A. Nixia Tenriawaru, Rahmadanih, Ahmad Imam Muslim, Hamed Noralla Bakheet Ali, Muhammad Ridwan
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Journal of Agriculture and Food Research
Subjects:
Maize production
Maize productivity
Input factors
Efficient maize farming
Binary logistic regression
Online Access:http://www.sciencedirect.com/science/article/pii/S2666154324001315

Internet

http://www.sciencedirect.com/science/article/pii/S2666154324001315

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