HARUN HURMA

Dr. HARUN HURMA

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 May 2018 in Erwerbs-Obstbau
Verified
Journal Article
Closed access
PDF file
BABaşak Aydın
Başak Aydın
DADuygu Aktürk
Duygu Aktürk
EÖErol Özkan
Erol Özkan
HHHARUN HURMA
HARUN HURMA
MKMehmet Ali Kiracı
Mehmet Ali Kiracı

15 December 2016 in Derim
Verified
Journal Article
Open access
BABaşak AYDIN
Başak AYDIN
EÖErol Özkan
Erol Özkan
HHHARUN HURMA
HARUN HURMA
FYFuat Yilmaz
Fuat Yilmaz
Bu çalışma, Kırklareli ve Edirne illerinde tarım sigortası yaptıran ve yaptırmayan işletmelerde yürütülmüştür. Her iki üretici grubunu tanımlayıcı bilgiler elde etmek, tarım sigortasına eğilimlerini belirlemek hedeflenmiştir. Ayrıca, sigorta uygulamalarında karşılaşılan problemler ve çiftçilerin beklentileri de belirlenmiştir. Edirne ilinde sigorta yaptıran 80, sigorta yaptırmayan 92, Kırklareli ilinde sigorta yaptıran 68, sigorta yaptırmayan 77 üretici olmak üzere toplam 317 üretici ile çalışılmıştır. Elde edilen verilerin analizinde ortalama, yüzde gibi basit hesaplama ve çapraz tablolardan faydalanılmıştır. Üreticilerin tarım sigortası yaptırmalarında etkili olan faktörlerin belirlenmesinde Logit regresyon analizi kullanılmıştır. Araştırma alanında üreticilerin eğitim düzeylerinin, tarımsal deneyimlerinin, toplam yıllık gelir ve toplam tarımsal gelirlerinin, arazi miktarlarının ve tarımsal örgütlere üyelik durumlarının tarım sigortası yaptırma durumu üzerinde pozitif yönde, tarım dışı faaliyetle uğraşma durumlarının ise negatif yönde etkisi olduğu belirlenmiştir.

27 May 2024 in Tekirdağ Ziraat Fakültesi Dergisi
Verified
Journal Article
Open access
PDF file
YÇYusuf Çakmakçı
Yusuf Çakmakçı
HHHARUN HURMA
HARUN HURMA
CÇCihan Çakmakçı
Cihan Çakmakçı
This study aims to comparatively determine the consumer perception of food products marketed under ecologically friendly concepts (organic food, good agriculture, and natural production) and food sold directly by farmers, conventional food, and farmer cooperative branded food. For this purpose, a face-to-face survey was conducted with 171 identified consumers. R program was used to perform all of the analyses. Machine learning methods such as Logistic Regression (LR), Correspondence Analysis (CA), and Principal Component Analysis (PCA) are used for determining consumer perception from obtained data. Descriptive statistics results showed that 51.5 percent of those polled were male and 48.5 percent were female. It found that the mean age of the consumers was joined to the survey was 36.4. According to the LR findings, consumer socioeconomic characteristics have a considerable impact on the purchase of various foods (such as organic labeled foods, good agricultural practices foods, producer cooperative branded foods, etc.). It has been discovered as the result of the PCA, people perceived organic branded food and good agricultural practices foods, which are healthier, more flavorful, and more trustworthy than other food. however, it has been discovered that they believe the costs of these types of food are expensive and that they are difficult to obtain. On the other hand, they perceive the pricing of farmer cooperative branded foods and food sold directly by the farmer to be lower. Furthermore, it was observed in CA findings that there was a correlation between these various food groups and purchase locations. While products sold directly by farmers are mostly purchased from public markets, they prefer grocery stores and supermarkets when purchasing foods with good agricultural practices and natural labeled (from the markets). When seen from this perspective, it is possible to conclude that ecologically friendly food and other food products are regarded differently by customers based on product characteristics. The use of marketing techniques that create a positive perspective in terms of affordability and accessibility and the development of policies and production techniques that boost consumers' current perceptions of these items are considered will promote the consumption of these products.

1 August 2021 in Turkish Journal of Agriculture - Food Science and Technology
Verified
Journal Article
Open access
YÇYusuf Çakmakçı
Yusuf Çakmakçı
HHHARUN HURMA
HARUN HURMA
This study examined whether there is a relationship between the socio-economic and demographic characteristics of consumers while purchasing food products and the level of environmental awareness and environmental consciousness. In addition, the factors affecting consumers' trust in environmentally friendly food products were examined. The data of the study were obtained from the questionnaires made with 171 people in the district of Süleymanpaşa in Tekirdağ. In the evaluation of the obtained data, frequency distributions, chi-square, and factor analyses were used. In the results of the research, it determined that the level of environmental friendliness of consumers in their general consumption habits differs according to their age, education, having children under the age of 10, monthly income level, monthly food expenditure level. Consumers over the age of 36 were found to be more environmentally sensitive than other consumers. Similarly, consumers with undergraduate and higher education were found to be more environmentally friendly than those who have under undergraduate education. On the other hand, factor analysis was applied to 11 variables that affect the confidence level of consumers for food products produced with environmentally friendly and human health sensitive production methods. 11 variables were grouped under 3 factors as “Legal regulations and promotion efforts”, “Certificates and label information” and “Product awareness”. When evaluated from this point of view, it revealed that certificates and label information are very important as well as legal regulations in increasing the reliability of environmentally friendly food products in the eyes of consumers. However, it is understood that the environmental attitudes of consumers should also be taken into account in consumer-oriented studies in the food products market today.

25 May 2023 in Tarım Ekonomisi Araştırmaları Dergisi
Verified
Journal Article
Closed access
YÇYusuf Çakmakçı
Yusuf Çakmakçı
HHHARUN HURMA
HARUN HURMA
CÇCihan Çakmakçı
Cihan Çakmakçı
Bu çalışmanın birinci amacı hayvancılıkta kullanılan dijital teknolojileri açıklamak, bu teknolojilerin sosyo-ekonomik ve çevresel etkilerini ortaya koymaktır. İkinci amaç ise, konu ile ilgili yapılmış çalışmaların tarihsel evrimini ortaya koymaktır. Nesnelerin interneti temelli olan bu teknolojilerin elektronik kulak küpeleri, elektronik boyun tasması, elektronik adım ölçerler, sensörler ve sanal çitler olarak ortaya çıktığı görülmüştür. Dahası, bu teknolojilerin özellikle, süt üretim çiftlikleri başta olmak üzere kümes hayvancılığı, küçükbaş ve domuz çiftliklerinde yaygın olarak kullanıldığı görülmüştür. Öte yandan, “Bibliyometrik Analiz” yönteminden faydalanarak konu ile ilgili yapılmış çalışmaların gelişim süreçleri incelendiğinde ise Amerika Birleşik Devletleri, Çin, İngiltere ve Avustralya en çok bilimsel çalışmaların yapıldığı ülkelerin başında yer aldığı görülmüştür. Çalışmalarda, 2015 yılına kadar hassas hayvancılık, sensörler gibi konular ağırlıklı ele alınan konular iken, 2015 yılı sonrasında ise, çalışmalar makine öğrenmesi, hayvan ve insan refahı, hayvan davranışları ve derin öğrenme konularına evrildiği görülmüştür. Sonuç olarak, hayvancılıkta dijital teknoloji kullanımının artması ile hayvan takibi, hayvan sağlığı, refahı ve verim unsurlarında optimizasyon sağlar iken işletmelerin karlılığını arttırmaktadır. Dahası, dijital teknolojiler ile hayvancılıktan kaynaklı çevresel etkilerinin (Sera gazı emisyonları, toprak ve su kirliliği) sürekli olarak takip edilebilmektedir. Kırsal alanlarda hayvancılık faaliyetlerinin dijitalleşmesiyle hem kırsal alanların gelişmesinde hem de kırsal alanlardaki göçlerin önlenmesinde fayda sağlanabilir. Ayrıca, gıda arzı ve güvenliğinin arttıracağı düşünülmektedir.

30 April 2024 in Turkish Journal of Agriculture - Food Science and Technology
Verified
Journal Article
Open access
PDF file
HHHARUN HURMA
HARUN HURMA
ECEmir Can
Emir Can
Since the concept of brand has a wide and diverse range, it is divided into different groups from different perspectives. Local brands are products that are produced, manufactured, and sold by a company in a specific city or that are distributed in a constrained area. This study’s primary goal is to assess how local brands selling milk and dairy products in a particular region are perceived by local consumers. It also seeks to analyze the standing of local producers in this sector and consumer attitudes toward regionally branded goods by highlighting the significance of milk and dairy products in terms of human health. The study makes use of survey information from 381 households in Süleymanpaşa Districts of Tekirdağ-Türkiye. The data were analyzed using fundamental statistical techniques, factor analysis, and logistic regression analysis. In the survey, it was found that 85.0% of participants were familiar with the idea of local brand, while just 15.0% were not. Consumers who said they buy local brand milk and dairy products made up 78% of the sample. Consumers found local products to be more natural and tastier than national brands. According to the factor analysis, the judgements influencing customers’ preference for local brand milk and dairy products were classified into five factors. These factors are named as naturalness and quality, price and promotion, health, food safety, brand and image. Logistic regression analysis was used to explain the association between purchasing local brand milk and dairy products and factor scores, as well as knowing the notion of local brand. Those who favor “Naturalness and Quality” in purchased milk and dairy products are nearly three times more likely than those who do not to purchase local brand milk and dairy goods. With a probability of 68.4%, those who do not understand the notion of local brand will not purchase local branded products.