Assessing the Technical Efficiency of Main Protected Vegetable Cultivation in Northern Palestine

This study examines the technical efficiency (TE) of protected vegetable farming in Northern Palestine, a region where vegetable cultivation plays a vital role due to favorable climatic conditions and soil fertility. Despite its significance, little empirical research exists on TE in protected agriculture in the region. This paper measures the TE of key vegetable crops as cucumbers, tomatoes, peppers, peas, and eggplants using a Stochastic Frontier Analysis (SFA) model applied to cross-sectional data from 127 farms in the Northern West Bank during 2023–2024. Results show variability in TE across crops: tomato farms demonstrate the highest average TE (96.2%), followed by pepper (80.2%) and cucumber (79%) farms, while peas (55.3%) and eggplants (50.3%) reveal considerable inefficiencies. Factors influencing TE include input type and use practices. For cucumbers, excessive labor and chemical fertilizers reduced TE, while organic fertilization improved it. In tomato farming, overreliance on chemical inputs and mismanaged irrigation decreased efficiency, whereas organic inputs had positive effects. Pepper TE benefited from labor and organic fertilization, but was hindered by poor soil sterilization. Peas and eggplants were most affected by inefficient input use and suboptimal practices. These findings highlight the urgent need for targeted interventions, especially in organic fertilization and labor management, to improve efficiency in protected vegetable production systems across the region.

Authors

Publication Details

Journal
AgEcon Search (University of Minnesota, USA)
Published
2026-09-17
DOI
https://doi.org/10.22004/ag.econ.410382
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
article

Assessing the Technical Efficiency of Main Protected Vegetable Cultivation in Northern Palestine

Istaitih Yahya
AgEcon Search (University of Minnesota, USA)
Efficiency Analysis Using DEA
article

Assessing the Technical Efficiency of Main Protected Vegetable Cultivation in Northern Palestine

Istaitih Yahya
article en

Abstract

This study examines the technical efficiency (TE) of protected vegetable farming in Northern Palestine, a region where vegetable cultivation plays a vital role due to favorable climatic conditions and soil fertility. Despite its significance, little empirical research exists on TE in protected agriculture in the region. This paper measures the TE of key vegetable crops as cucumbers, tomatoes, peppers, peas, and eggplants using a Stochastic Frontier Analysis (SFA) model applied to cross-sectional data from 127 farms in the Northern West Bank during 2023–2024. Results show variability in TE across crops: tomato farms demonstrate the highest average TE (96.2%), followed by pepper (80.2%) and cucumber (79%) farms, while peas (55.3%) and eggplants (50.3%) reveal considerable inefficiencies. Factors influencing TE include input type and use practices. For cucumbers, excessive labor and chemical fertilizers reduced TE, while organic fertilization improved it. In tomato farming, overreliance on chemical inputs and mismanaged irrigation decreased efficiency, whereas organic inputs had positive effects. Pepper TE benefited from labor and organic fertilization, but was hindered by poor soil sterilization. Peas and eggplants were most affected by inefficient input use and suboptimal practices. These findings highlight the urgent need for targeted interventions, especially in organic fertilization and labor management, to improve efficiency in protected vegetable production systems across the region.

AgEcon Search (University of Minnesota, USA)
Zero hunger
Openalex Percentile: Top 6%
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.