Analyzing the Efficiency of Libya's Agricultural Sector for Growth and Sustainability : A DEA-Based Study to Identify Inefficiencies and Improvement Opportunities

This study aims to analyze the efficiency of Libya’s agricultural sector using Data EnvelopmentAnalysis (DEA) while identifying the factors influencing efficiency through the Tobit model.Time series data for the period 2002-2022 were analyzed to assess the performance of theagricultural sector in light of Libya’s economic and political transformations. The DEA resultsrevealed significant variations in technical efficiency levels across different economic periods.The period of stability and relative growth (2002-2010) recorded the highest efficiency levels,driven by increased government spending and an improved agricultural investment environment.In contrast, the period of instability and turmoil (2011-2016) witnessed a sharp decline inefficiency due to the collapse of state institutions, reduced agricultural support, and weakenedinvestments. Meanwhile, the period of partial recovery (2017-2022) showed slight improvementsin efficiency but remained below the desired level, reflecting persistent challenges in resourceallocation and weak agricultural policies.The results also highlighted the impact of fluctuations inagricultural investment, availability of natural resources, agricultural labor, and technology levelson production efficiency. Through the Tobit model, it was found that agricultural labor,agricultural investment, water availability, and corruption levels negatively affected efficiency,indicating structural challenges in resource allocation and inefficiencies in agricultural policies.Conversely, the level of agricultural technology was found to have no significant impact,emphasizing the need to enhance the utilization of modern technologies and promote agricultural innovation .Based on these findings, the study recommends restructuring government support, improvingagricultural resource management policies, combating corruption, fostering effective investmentsin agricultural technology, and developing training programs for agricultural labor. Implementingthese recommendations would contribute to achieving agricultural sustainability, enhancing foodsecurity, and improving the efficiency of Libya’s agricultural sector in the face of economic andclimatic challenges.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-02
DOI
https://doi.org/10.5281/zenodo.16728689
Primary Topic
Efficiency Analysis Using DEA
Type
article
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article

Analyzing the Efficiency of Libya's Agricultural Sector for Growth and Sustainability : A DEA-Based Study to Identify Inefficiencies and Improvement Opportunities

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

Analyzing the Efficiency of Libya's Agricultural Sector for Growth and Sustainability : A DEA-Based Study to Identify Inefficiencies and Improvement Opportunities

article en

Abstract

This study aims to analyze the efficiency of Libya’s agricultural sector using Data EnvelopmentAnalysis (DEA) while identifying the factors influencing efficiency through the Tobit model.Time series data for the period 2002-2022 were analyzed to assess the performance of theagricultural sector in light of Libya’s economic and political transformations. The DEA resultsrevealed significant variations in technical efficiency levels across different economic periods.The period of stability and relative growth (2002-2010) recorded the highest efficiency levels,driven by increased government spending and an improved agricultural investment environment.In contrast, the period of instability and turmoil (2011-2016) witnessed a sharp decline inefficiency due to the collapse of state institutions, reduced agricultural support, and weakenedinvestments. Meanwhile, the period of partial recovery (2017-2022) showed slight improvementsin efficiency but remained below the desired level, reflecting persistent challenges in resourceallocation and weak agricultural policies.The results also highlighted the impact of fluctuations inagricultural investment, availability of natural resources, agricultural labor, and technology levelson production efficiency. Through the Tobit model, it was found that agricultural labor,agricultural investment, water availability, and corruption levels negatively affected efficiency,indicating structural challenges in resource allocation and inefficiencies in agricultural policies.Conversely, the level of agricultural technology was found to have no significant impact,emphasizing the need to enhance the utilization of modern technologies and promote agricultural innovation .Based on these findings, the study recommends restructuring government support, improvingagricultural resource management policies, combating corruption, fostering effective investmentsin agricultural technology, and developing training programs for agricultural labor. Implementingthese recommendations would contribute to achieving agricultural sustainability, enhancing foodsecurity, and improving the efficiency of Libya’s agricultural sector in the face of economic andclimatic challenges.

Zenodo (CERN European Organization for Nuclear Research)
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Efficiency Analysis Using DEA
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Analyzing the Efficiency of Libya's Agricultural Sector for Growth and Sustainability : A DEA-Based Study to Identify Inefficiencies and Improvement Opportunities · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS