Subtopic Deep Dive

Livestock Production Economics in Rangelands
Research Guide

What is Livestock Production Economics in Rangelands?

Livestock Production Economics in Rangelands analyzes cost-benefit ratios, market fluctuations, and input efficiencies for extensive livestock systems using econometric models on farm-level data.

Researchers apply stochastic frontier analysis and metafrontier methods to assess technical efficiency in beef cattle and goat farming (Nwigwe et al., 2016; Otieno et al., 2011). Studies quantify subsidy dependencies and fattening costs in Mediterranean and African rangelands (Tsiouni et al., 2021; Şahin et al., 2009). Over 10 papers from 1999-2024 examine these dynamics, with citation peaks in efficiency modeling.

15
Curated Papers
3
Key Challenges

Why It Matters

Economic analyses guide subsidy policies for goat farms in Greece, showing sustainability hinges on financial support (Tsiouni et al., 2021, 29 citations). Technical efficiency studies in Nigeria and Kenya inform rangeland productivity improvements, revealing gaps in nomadic systems (Nwigwe et al., 2016, 15 citations; Otieno et al., 2011, 6 citations). Fattening cost optimizations determine profitable periods for beef breeds, impacting rural incomes in controlled rangeland setups (Şahin et al., 2009, 3 citations). Overgrazing assessments in Turkey highlight financial equivalents of forage utilization, aiding sustainable management (Kara et al., 2019, 2 citations).

Key Research Challenges

Subsidy Dependency Risks

Goat farms in Greece rely heavily on subsidies for economic viability, complicating long-term sustainability (Tsiouni et al., 2021). Analyses show sector difficulties without support, affecting rural economies in Mediterranean rangelands.

Technical Efficiency Gaps

Stochastic frontier analysis reveals inefficiencies in Nigerian beef production, driven by input factors (Nwigwe et al., 2016). Kenyan metafrontier models identify technology gaps in nomadic and agro-pastoral systems (Otieno et al., 2011).

Overutilization and Costs

Turkish rangelands face twofold excessive grazing, yielding high financial returns but threatening sustainability (Kara et al., 2019). Fattening cost studies seek optimal periods to maximize beef profits under controlled conditions (Şahin et al., 2009).

Essential Papers

1.

Economic and Financial Sustainability Dependency on Subsidies: The Case of Goat Farms in Greece

Maria Tsiouni, Stamatis Aggelopoulos, Alexandra Pavloudi et al. · 2021 · Sustainability · 29 citations

Goat farming is an important production sector not only for Greece, but also for other Mediterranean countries, as it contributes to the family economy in rural areas. Despite the importance of goa...

2.

Technical efficiency of beef cattle production technologies in Nigeria: A stochastic frontier analysis

Nwigwe Cecilia, Okoruwa Victor, Adenegan Kemisola et al. · 2016 · African Journal of Agricultural Research · 15 citations

The paper investigated the determinants of beef cattle production and technical efficiency of beef cattle farmers using stochastic frontier production function which incorporates a model of ineffic...

3.

Organic tourism as a tool to raise healthy tourism destinations: an investigation in Turkey

Kaplan Uğurlu · 2014 · Applied Studies in Agribusiness and Commerce · 8 citations

The aim of the paper is to specify the items that effect the importance of organic tourism both for human life and sustainable tourism destinations. The fundamental point of the study is to focus o...

4.

The short-term impact of the Covid-19 pandemic on livestock products and feed prices in Turkey

Savaş Sarıözkan, Aytaç Akçay, Mehmet Küçükoflaz et al. · 2020 · Ankara Üniversitesi Veteriner Fakültesi Dergisi · 7 citations

This study aimed to investigate changes in the prices of animal products (meat, milk, eggs), and feed before and during the pandemic period on a sectoral basis in Turkey. The material for the study...

5.

Technical efficiency and technology gaps in beef cattle production systems in Kenya: A stochastic metafrontier analysis

David Jakinda Otieno, Lionel Hubbard, Eric Ruto et al. · 2011 · AgEcon Search (University of Minnesota, USA) · 6 citations

In this study the stochastic metafrontier method is used to investigate technical efficiency and technology gaps across three main beef cattle production systems in Kenya. Results show that there i...

6.

Fattening costs of beef breeds reared under controlled conditions and the determination of optimum fattening period

Ahmet Şahi̇n, Bülent Mìran, İbrahim Yıldırım et al. · 2009 · TURKISH JOURNAL OF VETERINARY AND ANIMAL SCIENCES · 3 citations

The primary purpose of this study was to calculate the fattening costs of different cattle breeds reared under controlled conditions and to determine the optimal fattening period that will maximize...

7.

Meranın besin değerine dayalı gübrelemenin ekonomik analizi: Yeni bir görüş

İbrahim Aydın, Duygu Algan, Nuh Ocak · 2018 · ANADOLU JOURNAL OF AGRICULTURAL SCIENCES · 3 citations

Concepts behind the bestmanagement practices of rangeland improvement include production, economics, aswell as social and environmental aspects. Although revenue in rangelands can beincreased by fe...

Reading Guide

Foundational Papers

Start with Otieno et al. (2011) for stochastic metafrontier basics in Kenyan beef systems, then Şahin et al. (2009) for fattening cost calculations, and Uğurlu (2014) for organic rangeland economics linkages.

Recent Advances

Prioritize Tsiouni et al. (2021) on subsidy dependencies, Kara et al. (2019) on overutilization rates, and Sarıözkan et al. (2020) for pandemic price impacts on livestock.

Core Methods

Stochastic frontier production functions (Nwigwe et al., 2016); metafrontier analysis for technology gaps (Otieno et al., 2011); cost-profit optimizations for fattening periods (Şahin et al., 2009).

How PapersFlow Helps You Research Livestock Production Economics in Rangelands

Discover & Search

Research Agent uses searchPapers and exaSearch to find efficiency studies like 'Technical efficiency of beef cattle production technologies in Nigeria' by Nwigwe et al. (2016). citationGraph reveals clusters around stochastic frontier models from Otieno et al. (2011), while findSimilarPapers expands to subsidy analyses like Tsiouni et al. (2021).

Analyze & Verify

Analysis Agent applies readPaperContent to extract stochastic metafrontier results from Otieno et al. (2011), then verifyResponse with CoVe checks efficiency claims against raw data. runPythonAnalysis replicates frontier models using NumPy/pandas on farm-level datasets, with GRADE grading for econometric validity.

Synthesize & Write

Synthesis Agent detects gaps in rangeland subsidy literature via gap detection, flagging underexplored overgrazing economics from Kara et al. (2019). Writing Agent uses latexEditText, latexSyncCitations for efficiency tables, and latexCompile to produce reports; exportMermaid visualizes cost-benefit flows.

Use Cases

"Replicate stochastic frontier efficiency from Nwigwe 2016 on new rangeland data"

Research Agent → searchPapers → Analysis Agent → runPythonAnalysis (pandas/NumPy sandbox for SFA model) → researcher gets fitted efficiency scores and inefficiency determinants plot.

"Write LaTeX report on fattening costs in Şahin 2009 vs recent Turkish studies"

Research Agent → findSimilarPapers → Synthesis Agent → gap detection → Writing Agent → latexSyncCitations + latexCompile → researcher gets compiled PDF with cited cost tables and optimal period graphs.

"Find code for metafrontier analysis like Otieno 2011 for beef rangelands"

Research Agent → paperExtractUrls → Code Discovery → paperFindGithubRepo → githubRepoInspect → researcher gets R/Stata scripts for technology gap estimation with Kenyan data examples.

Automated Workflows

Deep Research workflow scans 50+ papers via searchPapers for systematic review of rangeland efficiencies, chaining to citationGraph for subsidy clusters (Tsiouni et al., 2021). DeepScan applies 7-step CoVe verification to stochastic models from Nwigwe et al. (2016), outputting GRADE-scored summaries. Theorizer generates hypotheses on overgrazing economics from Kara et al. (2019) data.

Frequently Asked Questions

What defines Livestock Production Economics in Rangelands?

It analyzes cost-benefit ratios, market fluctuations, and input efficiencies for extensive livestock systems using econometric models on farm-level data.

What are key methods used?

Stochastic frontier analysis measures technical efficiency in beef production (Nwigwe et al., 2016). Stochastic metafrontier analysis quantifies technology gaps across Kenyan systems (Otieno et al., 2011).

What are the most cited papers?

Tsiouni et al. (2021) on Greek goat farm subsidies (29 citations); Nwigwe et al. (2016) on Nigerian beef efficiency (15 citations); Otieno et al. (2011) on Kenyan metafrontiers (6 citations).

What open problems exist?

Subsidy withdrawal risks for rangeland viability (Tsiouni et al., 2021); overgrazing financial tradeoffs (Kara et al., 2019); scaling efficiency models to diverse arid systems.

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