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Journals / Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi / 2023 / Sayı: 51

Bibliometric Network Analysis of Studies Focused on STIRPAT, EKC And Environmental Taxation Issues in the Literature

Literatürdeki STIRPAT, EKC, Çevre Vergisi Konularına Yönelik Çalışmaların Bibliyometrik Ağ Analizi

Necan AYDIN
Dilek GÖZE KAYA
Pages
334–355
Publication Date
2023-08-31
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

When these three focus areas of studies on the environment are examined, it was found that the most active countries in the literature are China, the USA, and Turkey, respectively.

📌 3 Key Takeaways

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Objective & Hypothesis:As environmental issues become increasingly important, academic research on the environment is starting to gain the value it deserves.
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Key Findings & Data:Bibliometric network analysis is very useful in terms of scanning and filtering many categories such as the most influential author, journal, and country in academic research topics, identifying gaps in topics, and evaluating the impact of studies.
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Conclusion & Impact:When these three focus areas of studies on the environment are examined, it was found that the most active countries in the literature are China, the USA, and Turkey, respectively.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Bibliyometrik analiz · STIRPAT · EKC

Abstract

As environmental issues become increasingly important, academic research on the environment is starting to gain the value it deserves. Bibliometric network analysis is very useful in terms of scanning and filtering many categories such as the most influential author, journal, and country in academic research topics, identifying gaps in topics, and evaluating the impact of studies. This study focuses on the bibliometric network analysis of studies focused on STIRPAT (Stochastic Impacts by Regression on Population, Affluence, and Technology), EKC (Environmental Kuznets Curve), and environmental taxation. When these three focus areas of studies on the environment are examined, it was found that the most active countries in the literature are China, the USA, and Turkey, respectively. Additionally, the most influential authors, journals, and citation networks are also examined, and a detailed examination is made of some of the most effective sources found. Determining the main research topics and clusters in the literature will allow for the study of potential research gaps. Overall, the study provides a comprehensive overview of STIRPAT, EKC, and environmental taxation and is a valuable resource for researchers and policymakers interested in environmental issues.

Özet

Çevre ile ilgili konular gün geçtikçe önem kazanırken, çevre üzerine yapılan akademik çalışmalarda hak ettiği değeri kazanmaya başlamıştır. Bibliyometrik ağ analizi akademik araştırma konularındaki en etkili yazar, dergi, ülke gibi birçok kategori açısından tarayıp filtrelemesi, konuların açıklarının belirlenmesi, çalışmaların etkisinin değerlendirilmesi açısından oldukça faydalıdır. Bu çalışma, STIRPAT (nüfus, refah ve teknoloji üzerine rasgele etkilerle regresyon), EKC (Çevresel Kuznets Eğrisi) ve çevre vergileri üzerine odaklanan çalışmaların bibliyometrik ağ analizini konu almaktadır. Çevre üzerine bu üç başlık odağındaki çalışmalar incelendiğinde, literatüründeki en aktif ülkeler sırasıyla Çin, ABD ve Türkiye olduğu bulunmuştur. Ayrıca analizde en etkili yazar, dergi ve atıf ağları da incelenmiştir. En etkili bulunan bazı kaynakların detaylı incelemesi yapılmıştır. Literatürdeki ana araştırma konularını ve kümelerini belirlemek, potansiyel araştırma boşluklarının tespitine olanak sağlayacaktır. Genel olarak çalışma, STIRPAT, EKC ve çevre vergileri konularına kapsamlı bir bakış açısı sunmakta ve çevre konularına ilgi duyan araştırmacılar ve politika yapıcılar için faydalı bir kaynak oluşturmaktadır.

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Cite This Article

AYDIN, N., KAYA, D. G. (2023). Bibliometric Network Analysis of Studies Focused on STIRPAT, EKC And Environmental Taxation Issues in the Literature. Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, Sayı: 51, 334–355. https://ajindex.com/articles/961199

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