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    The Impact of Some Animal Products on Agricultural Gross Domestic Product in Türkiye: A Time Series Analysis

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    Acibuca, Veysi/0000-0002-8478-7300;The relationship between animal products and agricultural gross domestic product (AGDP) in Turkiye was investigated in this study. We used data of eight animal products (cow milk, sheep milk, beef, mutton, poultry meat, eggs, wool, and honey) from 1980 to 2020. After checking the stationarity of the series by the Augmented Dickey-Fuller (ADF) test, the Johansen cointegration test was used to establish the existence of a long-term relationship between animal products and AGDP, and the results were interpreted using The Fully Modified Ordinary Least Squares (FMOLS) analysis. According to the findings, honey, beef, poultry meat, mutton, eggs, and wool had a positive and significant relationship with AGDP in Turkiye, whereas sheep milk and cow milk and AGDP was not significant. The total effect of the examined animal products on AGDP was 0.61%. The results showed that wool was the most important contributor to AGDP among the products analyzed. Therefore, it is suggested that policymakers develop funding strategies to expand the production of these products

    The Possibility of Using Unmanned Aerial Vehicles in Agricultural Activities in Turkey

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    acibuca, veysi/0000-0002-8478-7300I N THIS study, the perceptions and attitudes of farmers towards drone use and the variables that affect their intention to use drones in two provinces in the Southeastern Anatolia region of Turkey were investigated. The main purpose of this study is to determine the hidden variables that may affect the intention to use unmanned aerial vehicles, which have been used in agricultural activities by some farmers in the region in the last few years and are expected to become widespread rapidly. For this purpose, the Technology Acceptance Model (TAM) was used as the primary reference to predict adoption intention. A proportional sample size was used to determine the number of surveys, and the survey was conducted with 249 producers.The study was conducted between September 2022 and January 2023 in Mardin and & Scedil;anl & imath;urfa provinces located between 37 degrees 50>-41 degrees 54> east longitude and 36 degrees 40>-38 degrees 12> north latitude in the Southeastern Anatolia Region of Turkey.A structural equation model (SEM) was used for basic data analysis. As a result of the results obtained, it was determined that the perceived usefulness and perceived economic benefit had significant effects on the intention to use the drone, on the contrary, the perceived ease of use and trust attitude did not affect the intention to use. Furthermore, the possibility of reducing workload, enhancing productivity, and lowering expenses appeared to be the most significant factors influencing drone adoption intention. The results showed that spraying and fertilization activities using drones are more beneficial in terms of crop productivity and labor force reduction compared to traditional methods. As a result, it has been suggested that legal arrangements should be made to include drones in machinery and equipment support given by the state to encourage the use of drones and to expand the use of unmanned aerial vehicles in agricultural activities

    The impact of some animal products on agricultural gross domestic product in Türkiye: a time series analysis

    No full text
    The relationship between animal products and agricultural gross domestic product (AGDP) in Türkiye was investigated in this study. We used data of eight animal products (cow milk, sheep milk, beef, mutton, poultry meat, eggs, wool, and honey) from 1980 to 2020. After checking the stationarity of the series by the Augmented Dickey-Fuller (ADF) test, the Johansen cointegration test was used to establish the existence of a long-term relationship between animal products and AGDP, and the results were interpreted using The Fully Modified Ordinary Least Squares (FMOLS) analysis. According to the findings, honey, beef, poultry meat, mutton, eggs, and wool had a positive and significant relationship with AGDP in Türkiye, whereas sheep milk and cow milk and AGDP was not significant. The total effect of the examined animal products on AGDP was 0.61%. The results showed that wool was the most important contributor to AGDP among the products analyzed. Therefore, it is suggested that policymakers develop funding strategies to expand the production of these products

    İNSANSIZ HAVA ARAÇLARININ TARIMSAL FAALİYETLERDE KULLANIMI VE GELECEĞE YÖNELİK BEKLENTİLER

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    Son yıllarda globalleşme ile birlikte yoğun bir rekabet ortamı oluşmaktadır. İşletmelerin ekonomik faaliyetlerini sürdürülebilmeleri ve bu rekabet ortamında tutunabilmeleri için rekabet üstünlüğünü elde etmeleri gerekmektedir. Rekabet üstünlüğü kazanmalarının da en önemli yolu yeniliklere sahip olmaktan geçmektedir. İnovasyon sayesinde elde ettiği kazanımlarla işletmeler, üretim maliyetlerindeki düşüşlerle rekabet üstünlüğü sağlamaktadır (Akıncı, 2011)

    Dünya’da ve Türkiye’de Tıbbi ve Aromatik Bitkilerin Yeri ve Önemi

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    Tarımsal faaliyetlerde, insanoğlu için hayati önem taşıyan beslenme, giyinme, barınma gibi ihtiyaçların karşılanması için gerekli ürünlerin üretimi yapıldığı gibi, insan sağlığı için faydalı olan ürünlerin de üretimi yapılmaktadır. İnsanlık tarihinin başlangıcından beri tedavi edici özelliği bulunan bitkilerin, hastalıklarda kullanıldığı bilinmektedir. Dünya Sağlık Örgütü verilerine göre gelişmemiş olan ülkelerde nüfusun % 80’i tedavi amaçlı geleneksel ilaçlar kullanırken, bu oran gelişmiş ülkelerde % 40 civarında olup gelecekte tıbbi bitkilerden yararlanma oranının tüm dünyada artış göstermesi beklenmektedir. Bu çalışmada ulusal ve uluslararası kurumlar ile konu ile ilgili daha önceden yapılmış çalışmalardan elde edilen veriler doğrultusunda tıbbi ve aromatik bitkilerin Dünya ve Türkiye’deki üretim durumu ve ticareti incelenmiştir

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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