Analysis of Technical Efficiency of Maize Production in Phayao Province

In Thailand, maize is an important economic crop, and the majority in Phayao Province is used as a major input in the livestock and biofuel industries. Nevertheless, production has faced declining areas of cultivation, unstable yields and low technical efficiency. Cobb Douglas stochastic frontier model and Maximum Likelihood Estimation (MLE) are used in evaluating the technical efficiency of maize farming in Phayao using primary survey data of maize farmers. Analysis of data set with FRONTIER 4.1 indicates a mean technical efficiency of 0.85 which means that there is 15% potential yield that could be achieved with better use of resources. The most significant key inputs are fertilizer (β = 0.28), land (β = 0.20), and seed (β = 0.18). Education, access to credit, access to extension services and group membership play a role in reducing the level of inefficiency. Output variation is mainly due to external shocks as the gamma value (0.925) indicates. Policy to increase farmer knowledge, improve institutional support and optimize inputs is informed by the study.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-25
DOI
https://doi.org/10.5281/zenodo.16422313
Primary Topic
Efficiency Analysis Using DEA
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Technical Efficiency of Maize Production in Phayao Province

Zenodo (CERN European Organization for Nuclear Research)
Efficiency Analysis Using DEA
article

Analysis of Technical Efficiency of Maize Production in Phayao Province

article en

Abstract

In Thailand, maize is an important economic crop, and the majority in Phayao Province is used as a major input in the livestock and biofuel industries. Nevertheless, production has faced declining areas of cultivation, unstable yields and low technical efficiency. Cobb Douglas stochastic frontier model and Maximum Likelihood Estimation (MLE) are used in evaluating the technical efficiency of maize farming in Phayao using primary survey data of maize farmers. Analysis of data set with FRONTIER 4.1 indicates a mean technical efficiency of 0.85 which means that there is 15% potential yield that could be achieved with better use of resources. The most significant key inputs are fertilizer (β = 0.28), land (β = 0.20), and seed (β = 0.18). Education, access to credit, access to extension services and group membership play a role in reducing the level of inefficiency. Output variation is mainly due to external shocks as the gamma value (0.925) indicates. Policy to increase farmer knowledge, improve institutional support and optimize inputs is informed by the study.

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 47%
Efficiency Analysis Using DEA
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.