Çevresel etkinlik konulu bilimsel yayınların bibliyometrik analiz yöntemiyle incelenmesi

Yıl 2024, Cilt: 30 Sayı: 2, 137 - 147, 27.12.2024

Bektaş Kadakoğlu , Bahri Karlı

https://doi.org/10.24181/tarekoder.1522972

Öz

Amaç: Bu çalışmanın amacı çevresel etkinlik konusu üzerine yapılmış bilimsel yayınları bibliyometrik analiz yöntemiyle incelemek, yapılan çalışmaların zamansal evrimi ile literatürdeki durumunu ortaya koymak ve konunun gelişiminde önemli rol oynayan öncü bilimsel çıktıları belirlemektir.
Tasarım/Metodoloji/Yaklaşım: Çalışmanın verileri Web of Science (WoS) veri tabanından elde edilmiştir. “Environmental efficiency” (çevresel etkinlik) ve “Data envelopment analysis” (veri zarflama analizi) kelimeleri kullanılarak “Konu” bölümünden (başlık, özet, yazar anahtar kelimeleri ve genişletilmiş anahtar kelimeler aranarak) arama yapılmış ve 1097 bilimsel doküman araştırmanın verileri için seçilmiştir. Bu veriler bibliyometrik yöntem kullanılarak analiz edilmiştir. Bibliyometrik yöntem çeşitli alanlardaki çalışmaları bir araya getirerek bu alanların gelişimleri hakkında araştırmacılara ipuçları sağlamaktadır.
Bulgular: Araştırma bulgularına göre, toplam yayınların %96.26’sı makale, %2.64’ü bildiri ve %1.09’u kitap bölümüdür. Makalelerin %97.06’sı araştırma makalesi, %2.94’ü ise derleme makaledir. Bu alanda en fazla yayın ve atıf sayısı Çin’e aittir. Çin’i sırasıyla İspanya, ABD ve İran’ın izlediği belirlenmiştir. Yapılan araştırmaların ana yayın kaynakları ise 123 makale ile Journal of Cleaner Production (%11.21) ve 71 makale ile Sustainability (%6.47) dergileridir.
Özgünlük/Değer: Bu çalışma, 2024 yılı mayıs ayına kadar geçen sürede veri zarflama analizi kullanılarak çevresel etkinlik konusu üzerine yapılmış bilimsel yayınları bibliyometrik analiz yöntemi ile incelemesiyle diğer çalışmalardan ayrılmaktadır. Ayrıca çalışmanın, çevresel etkinlik alanında gelecekte yapılacak araştırmalar için önemli ipuçları vereceği düşünülmektedir.

Anahtar Kelimeler

Çevresel etkinlik, Veri zarflama analizi, Bibliyometrik analiz, Bibliyometrik, Web of science

Teşekkür

Bu çalışma, Bektaş Kadakoğlu tarafından Isparta Uygulamalı Bilimler Üniversitesi, Lisansüstü Eğitim Enstitüsü, Tarım Ekonomisi Anabilim Dalı'nda yürütülen doktora tezinin bir bölümüdür.

Investigation of scientific publications on environmental efficiency by bibliometric analysis method

Öz

Purpose: The aim of this study is to examine the scientific publications about environmental efficiency by bibliometric analysis method, to reveal the temporal evolution of the studies and their status in the literature, and to identify the leading scientific outputs that have played a significant role in the development of the subject.
Design/Methodology/Approach: The data of the study were obtained from the Web of Science (WoS) database. The words “environmental efficiency” and “data envelopment analysis” were searched from the “Subject” section (title, abstract, author keywords and keywords plus) and 1097 scientific documents were selected for the data of the study. These data were analysed using bibliometric method. Bibliometric method brings together studies in various fields and provides clues to researchers about the development of these fields.
Findings: According to the research findings, 96.26% of the total publications were articles, 2.64% were papers and 1.09% were book chapters. 97.06% of the articles are research articles and 2.94% are review articles. China has the highest number of publications and citations in this field. China was followed by Spain, USA and Iran, respectively. The main publication sources of the studies are Journal of Cleaner Production with 123 articles (11.21%) and Sustainability with 71 articles (6.47%).
Originality/Value: This study differs from other studies by examining the scientific publications on environmental efficiency using data envelopment analysis until May 2024 by using bibliometric analysis method. In addition, it is thought that the study will provide important clues for future research in the field of environmental efficiency.

Anahtar Kelimeler

Environmental efficiency, Data envelopment analysis, Bibliometric analysis, Bibliometrix, Web of science

Kaynakça

• Aria, M. and Cuccurullo, C. (2017), “Bibliometrix: An R-Tool For Comprehensive Science Mapping Analysis”, Journal of Informetrics, 11(4), pp.959-975.
• Benedek, A., Rokicki, T. and Szeberényi, A. (2023), “Bibliometric Evaluation of Energy Efficiency in Agriculture”, Energies, 16(16), 5942.
• Bi, G. B., Song, W., Zhou, P. And Liang, L. (2014), “Does Environmental Regulation Affect Energy Efficiency İn China's Thermal Power Generation? Empirical Evidence From A Slacks-Based DEA Model”, Energy Policy, 66, pp.537-546.
• Caiado, R. G. G., de Freitas Dias, R., Mattos, L. V., Quelhas, O. L. G. and Leal Filho, W. (2017), “Towards Sustainable Development Through the Perspective of Eco-efficiency-A Systematic Literature Review”, Journal of Cleaner Production, 165, pp.890-904.
• Charles, V., Tsolas, I. E. and Gherman, T. (2018), “Satisficing Data Envelopment Analysis: A Bayesian Approach for Peer Mining in the Banking Sector”, Annals of Operations Research, 269(1), pp.81-102.
• Chen, L. and Jia, G, (2017), “Environmental Efficiency Analysis Of China's Regional Industry: A Data Envelopment Analysis (DEA) Based Approach”, Journal of Cleaner Production, 142, pp.846-853.
• Du, H., Wei, L., Brown, M. A., Wang, Y. And Shi, Z. (2013), “A Bibliometric Analysis of Recent Energy Efficiency Literatures: an Expanding and Shifting Focus”, Energy Efficiency, 6, pp.177-190.
• Ergin, M., Delialioğlu, R. A., Altay, Y. and Koşkan, Ö. (2023), “Bibliometric Analysis of the Studies Determined by the Monte Carlo Simulation Technique of the Power of the Test”, Black Sea Journal of Engineering and Science, 6(4), pp.414-420.
• Ferreira, F. A. (2018), “Mapping the Field of Arts-Based Management: Bibliographic Coupling And Co-Citation Analyses”, Journal of Business Research, 85, pp.348-357.
• Fusco, G. (2021), “Twenty Years of Common Agricultural Policy in Europe: A Bibliometric Analysis”. Sustainability, 13(19), p.10650.
• Garfield, E. (1990), “KeyWords Plus TM Takes You Beyond Title Words. 2. Expanded Journal Coverage For Current Contents on Diskette, Includes Social and Behavioral Sciences”, Current Contents, 33, pp.5-9.
• Goh, K. H. and See, K. F. (2021), “Twenty Years of Water Utility Benchmarking: A Bibliometric Analysis Of Emerging Interest in Water Research and Collaboration”, Journal of Cleaner Production, 284, p.124711.
• Gülcü, A., Coşkun, A., Yeşilyurt, C., Coşkun, Esener, S. ve Esener, T. (2004), “Cumhuriyet Üniversitesi Diş Hekimliği Fakültesi’nin Veri Zarflama Analizi Yöntemiyle Göreceli Etkinlik Analizi”, Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi, 5(2), ss. 87-104.
• Huang, J., Yang, X., Cheng, G. and Wang, S. (2014), “A Comprehensive Eco-Efficiency Model and Dynamics of Regional Eco-Efficiency in China”, Journal of Cleaner Production, 67, pp.228-238.
• John, I., Kwofie, E. M. and Ngadi, M. (2020), “Two Decades of Eco-efficiency Research: A Bibliometric Analysis”, Environmental Sustainability, 3, pp.155-168.
• Kadakoğlu, B. (2021), Afyonkarahisar İlinde Patates Üretiminin Teknik ve Ekonomik Etkinliğinin Analizi. Isparta Uygulamalı Bilimler Üniversitesi (Yüksek Lisans Tezi), 157s.
• Koçak, E., Kınacı, H. and Shehzad, K. (2021), “Environmental Efficiency of Disaggregated Energy R&D Expenditures in OECD: A Bootstrap DEA Approach”, Environmental Science and Pollution Research, 28, pp.19381-19390.
• Li, M. and Wang, Q. (2014), “International Environmental Efficiency Differences and Their Determinants”, Energy, 78, pp.411-420.
• Li, W. and Zhao, Y. (2015), “Bibliometric Analysis of Global Environmental Assessment Research in a 20-year Period”, Environmental Impact Assessment Review, 50, pp.158-166.
• Mardani, A., Zavadskas, E. K., Streimikiene, D., Jusoh, A. and Khoshnoudi, M. (2017), “A Comprehensive Review of Data Envelopment Analysis (DEA) Approach in Energy Efficiency”, Renewable and Sustainable Energy Reviews, 70, pp.1298-1322.
• Murty, S., Russell, R. R. and Levkoff, S. B. (2012), “On Modeling Pollution-generating Technologies”, Journal of Environmental Economics and Management, 64(1), pp.117-135.
• R Core Team, (2023), R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.
• Reinhard, S., Lovell, C. K. and Thijssen, G. J. (2000), “Environmental Efficiency with Multiple Environmentally Detrimental Variables; Estimated with SFA and DEA”, European Journal of Operational Research, 121(2), pp.287-303.
• Song, M., An, Q., Zhang, W., Wang, Z. and Wu, J., (2012), “Environmental Efficiency Evaluation Based on Data Envelopment Analysis: A Review”, Renewable and Sustainable Energy Reviews, 16(7), pp.4465-4469.
• Song, M., Wang, S. and Liu, W. (2014), “A Two-stage DEA Approach for Environmental Efficiency Measurement”, Environmental Monitoring and Assessment, 186, pp.3041-3051.
• Tarı, R. ve Sezer, F. (2017), “İstenen ve İstenmeyen Çıktılarla Etkinlik Analizi: Kocaeli Gıda Sanayii Firmaları Örneği”, Kocaeli Üniversitesi Sosyal Bilimler Dergisi, (34), ss. 1-18.
• Trianni, A., Merigó, J. M. and Bertoldi, P. (2018), “Ten Years of Energy Efficiency: A Bibliometric Analysis”, Energy Efficiency, 11, pp.1917-1939.
• Van Eck, N. and Waltman, L., (2010), “Software Survey: VOSviewer, A Computer program for Bibliometric Mapping”, Scientometrics, 84(2), pp.523-538.
• Wang, K., Yu, S. and Zhang, W. (2013), “China’s Regional Energy and Environmental Efficiency: A DEA Window Analysis Based Dynamic Evaluation”, Mathematical and Computer Modelling, 58(5-6), pp.1117-1127.
• Wang, L., Wei, Y. M. and Brown, M. A. (2017), “Global Transition To Low-carbon Electricity: A Bibliometric Analysis”, Applied Energy, 205, pp.57-68.
• Watanabe, M. and Tanaka, K. (2007), “Efficiency Analysis of Chinese Industry: A Directional Distance Function Approach”, Energy Policy, 35(12), pp.6323-6331.
• Wei, F., Zhang, X., Chu, J., Yang, F. and Yuan, Z. (2021), “Energy and Environmental Efficiency of China’s Transportation Sectors Considering CO2 Emission Uncertainty”, Transportation Research Part D: Transport and Environment, 97, 102955.
• WoSCC, (2024). “Web of Science Core Collection” available at: https://www.webofscience.com/wos/woscc/summary/f6b5d7bc-6a89-4125-880d-c80d4c2f2c31-0110d1392b/relevance/1 (accessed 4 May 2024).
• Yao, X., Wang, X., Xu, Z. and Skare, M. (2022), “Bibliometric Analysis of the Energy Efficiency Research”, Acta Montanistica Slovaca, 27(2), pp.505-521.
• Yu, D. and He, X. (2020), “A Bibliometric Study For DEA Applied to Energy Efficiency: Trends and Future Challenges”, Applied Energy, 268, 115048.
• Zhang, J., Yu, Q., Zheng, F., Long, C., Lu, Z. and Duan, Z. (2016), “Comparing Keywords Plus of Wos and Author Keywords: A case Study of Patient Adherence Research”, Journal of the Association for Information Science and Technology, 67(4), pp.967-972.
• Zofı́o, J. L. and Prieto, A. M. (2001), “Environmental Efficiency and Regulatory Standards: The case of CO2 Emissions From OECD Industries”, Resource and Energy Economics, 23(1), pp.63-83.
• Zupic, I. and Čater, T. (2015), “Bibliometric Methods in Management and Organization”, Organizational Research Methods, 18(3), pp.429-472.