Bulanık Kümeleme Analizi İle Canlı Hayvan Sayılarının Yıllara Göre Sınıflandırılması: Türkiye 2001-2022 Yılları Arası

As a critical part of the agricultural economy, the livestock sector is important for rural development and sustainable economic growth. Turkey has a significant livestock potential thanks to its large pasture areas and geographical location, and animal species such as cattle, buffalo, sheep, and goats play a key role in meeting the needs for meat, milk, and other animal products. In this study, sheep, buffalos, and goats in Turkey between 2001 and 2022 were analyzed with various statistical methods and evaluated in terms of establishing agricultural policies and making strategic decisions about the sector’s future. In recent years, various structural changes and modernization studies have been carried out in Turkey's livestock sector. To examine the effects of these changes and the numerical changes in animal assets, annual animal assets data between 2001 and 2022 were analyzed using fuzzy clustering analysis. The findings provide important information for developing agricultural policies and increasing the productivity of the livestock sector. Fuzzy cluster analysis showed that the data was divided into two distinct clusters: the years 2001-2012 belong to the first cluster, and the years 2013-2022 belong to the second cluster. These results reveal that 2012 was a year of significant change in livestock data. According to the discriminant analysis results, 96% of the clustering was predicted correctly, which shows the accuracy and effectiveness of fuzzy clustering analysis. The findings of the study can be evaluated to better understand the dynamics of the livestock sector in Turkey and to provide guiding information in the formulation of future agricultural policies. This study focuses on efficiency and sustainability issues in the livestock sector and constitutes an important reference for strategic planning for the future of the sector.

Authors

Institutions

Publication Details

Journal
DergiPark (Istanbul University)
Published
2024-09-20
Primary Topic
Agricultural and Rural Development Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bulanık Kümeleme Analizi İle Canlı Hayvan Sayılarının Yıllara Göre Sınıflandırılması: Türkiye 2001-2022 Yılları Arası

Cengiz Gazeloğlu
DergiPark (Istanbul University)
Agricultural and Rural Development Research
article

Bulanık Kümeleme Analizi İle Canlı Hayvan Sayılarının Yıllara Göre Sınıflandırılması: Türkiye 2001-2022 Yılları Arası

Cengiz Gazeloğlu
article en

Abstract

As a critical part of the agricultural economy, the livestock sector is important for rural development and sustainable economic growth. Turkey has a significant livestock potential thanks to its large pasture areas and geographical location, and animal species such as cattle, buffalo, sheep, and goats play a key role in meeting the needs for meat, milk, and other animal products. In this study, sheep, buffalos, and goats in Turkey between 2001 and 2022 were analyzed with various statistical methods and evaluated in terms of establishing agricultural policies and making strategic decisions about the sector’s future. In recent years, various structural changes and modernization studies have been carried out in Turkey's livestock sector. To examine the effects of these changes and the numerical changes in animal assets, annual animal assets data between 2001 and 2022 were analyzed using fuzzy clustering analysis. The findings provide important information for developing agricultural policies and increasing the productivity of the livestock sector. Fuzzy cluster analysis showed that the data was divided into two distinct clusters: the years 2001-2012 belong to the first cluster, and the years 2013-2022 belong to the second cluster. These results reveal that 2012 was a year of significant change in livestock data. According to the discriminant analysis results, 96% of the clustering was predicted correctly, which shows the accuracy and effectiveness of fuzzy clustering analysis. The findings of the study can be evaluated to better understand the dynamics of the livestock sector in Turkey and to provide guiding information in the formulation of future agricultural policies. This study focuses on efficiency and sustainability issues in the livestock sector and constitutes an important reference for strategic planning for the future of the sector.

DergiPark (Istanbul University)
Süleyman Demirel Üniversitesi (TR), Suleyman Demirel University (KZ)
Openalex Percentile: Top 57%
Agricultural and Rural Development Research
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.