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Determining the factors affecting the climate-friendly innovative technology usage levels of sheep farms

New Medit · Ocak 2024

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YÖKSİS Kayıtları
Determining the factors affecting the climate-friendly innovative technology usage levels of sheep farms
New Medit · 2024 SCI-Expanded
Prof. Dr. CENNET OĞUZ →
YÖKSİS ISSN Eşleşmesi

Bu dergide (ISSN eşleşmesi) kurumun 5 kaydı bulundu.

YÖKSİS Kayıtları — ISSN Eşleşmesi
Factors Affecting the Adoption of Technology in Dairy Farms in the Konya Region of Turkey.
2021 ISSN: 1594-5685 SCI-Expanded Q4
Doç. Dr. AYSUN YENER ÖGÜR →
The effect of robotic milking systems on economic performance of dairy farms with a simulation model
2022 ISSN: 1594-5685 SCI-Expanded Q3
Prof. Dr. CENNET OĞUZ →
Determining the factors affecting the climate-friendly innovative technology usage levels of sheep farms
2024 ISSN: 1594-5685 SCI-Expanded Q2
Prof. Dr. CENNET OĞUZ →
Determining the factors affecting the climate-friendly innovative technology usage levels of sheep farms
2024 ISSN: 1594-5685 SCI-Expanded Q3
Prof. Dr. YUSUF ÇELİK →
Cooperative branded food purchasing behaviour: Understand the role of consumer social responsibility, trust, and agri-rural ties through Theory of Planned Behaviour
2024 ISSN: 1594-5685 SCI-Expanded Q2
Prof. Dr. CENNET OĞUZ →

Makale Bilgileri

ISSN15945685
Yayın TarihiOcak 2024
Cilt / Sayfa2024 · 55-72
Erişim🔓 Açık Erişim
Özet Climate-friendly smart agriculture (CSA) describes a set of interventions aimed at sustainably increasing productivity and reducing greenhouse gas emissions from agriculture. The aim of this study was to calculate the climate-friendly innovative technology usage indexes of sheep farms in Konya and to determine the affecting factors. Neyman allocation sampling method was used to determine the 151 sheep farms. As a result of the study, it has been determined that 5.96% of the enterprises are low level, 87.42% medium level and 6.62% high level climate-friendly innovative technology users. The general average of climate-friendly innovative technology usage index (CFITU) of the sheep farms is 52.88% and they are medium level climate-friendly innovative technology users. Ordinal logistic regression analysis was conducted to determine the factors influencing the level of CFITU in sheep farms. The results showed that the dependent variable was explained by 7 independent variables with a percentage of 32.5%. Providing education and financial support to farmers in the region regarding climate change perception and technology usage will enhance the level of CFITU in enterprises.

Yazarlar (4)

1
Cennet Oguz
2
Aykut Örs
3
Aysun Yener Ögür
ORCID: 0000-0002-2764-0759
4
Y. Celik

Anahtar Kelimeler

Climate friendly smart agriculture Innovative Technology Usage Index Konya Sheep farming

Kurumlar

Agriculture and Rural Development Support Institution
Konya Turkey
Selçuk Üniversitesi
Selçuklu Turkey
Scimago Dergi (ISSN Eşleşmesi)
New Medit
Q3 OA
SJR Skoru0,280
H-Index27
YayıncıBononia University Press
ÜlkeItaly
Agricultural and Biological Sciences (miscellaneous) (Q3)
Agronomy and Crop Science (Q3)
Development (Q3)
Economics and Econometrics (Q3)
Geography, Planning and Development (Q3)
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Metrikler

2
Atıf
4
Yazar
4
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