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Karbon Vergisi Çalışmalarında Bibliyometrik Analiz

Taha Emre ÇİFTÇİ

  • Taha Emre ÇİFTÇİ: NECMETTİN ERBAKAN ÜNİVERSİTESİ
  •  Yıl : 2024
  •  Cilt : 4
  •  Sayı : 1
  •  Sayfa : 1-24
Çevre kirliliği sorununun oluşum ve gelişim sürecinde, devletlerin oluşturduğu politikalar, önem arz etmektedir. Böyle bir sorunun çözümüne yönelik önerilen çevre politikası araçlarından biri, karbon vergisidir. Karbon vergisi, çevreye zararlı sera gazı emisyonlarının azaltılmasında devletlerin kullanabilecekleri önemli bir mali araçtır. Karbon vergisi kavramı, 1980'lerin sonunda ortaya çıkmış ve akademik çevrelerde ilgi görmüştür. Yıllar geçtikçe akademik yazında bu konuya duyulan ilgi artmıştır. Bu çalışmanın amacı, 1991-2023 yılları arasında karbon vergisi üzerine yazılan makalelerin bibliyometrik analizini ortaya koymaktır. Belirtilen amaç doğrultusunda, Web of Science (WOS) veri tabanından elde edilen veriler, bibliyometrik analize tabi tutulmuştur. Bibliyometrik analizin gerçekleştirilmesinde, performans analizi ve haritalama analizi yöntemlerinden yararlanılmıştır. Çalışmada bulgulara ulaşmak için; atıf analizi, ortak yazar analizi, anahtar kelime analizi ve dergilerin bibliyografik eşleştirme analizi kullanılmıştır.
Atıf yapmak için : Çiftçi, T. E., (2024). Karbon vergisi çalışmalarında bibliyometrik analiz. Fivezero, 4(1), 1-24. https://doi.org/10.54486/fivezero.2024.33

Çıkar İlişkisi : Yazarlar çıkar çatışması olmadığını beyan etmiştir.

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Fivezero Dergisi
2024, Cilt4, Sayı1
E-ISSN: 2578-8965
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Kaynakça

  1. Acemoglu, D., Aghion, P., Bursztyn, L., & Hemous, D. (2012). The Environment and Directed Technical Change. American Economic Review, 102(1), 131-166. https://doi.org/10.1257/aer.102.1.131
  2. Al-Abdullah, A. Y. (1999). The Carbon-tax debate. Applied Energy, 64(1-4), 3-13.
  3. Ali, M., & Kirikkaleli, D. (2023). Carbon taxes, resources efficiency, and environmental sustainability in a developed country. International Journal of Sustainable Development and World Ecology. https://doi.org/10.1080/13504509.2023.2296492
  4. Aricioğlu, M. A., Kaynar, Z., & Çürük, S. A. (2022). Uluslararası Sosyal Sermaye Araştırmaları Üzerine Bibliyometrik Bir Analiz. Necmettin Erbakan Üniversitesi Siyasal Bilgiler Fakültesi Dergisi, 4(1), Article 1.
  5. Audi, M., Ali, A., & Kassem, M. (2020). Greenhouse Gases: A Review of Losses and Benefits. International Journal of Energy Economics and Policy, 10(1), 403-418.
  6. Baranzini, A., Goldemberg, J., & Speck, S. (2000). A future for carbon taxes. Ecological Economics, 32(3), 395-412.
  7. Bi̇şki̇n, F., Yilmaz, N., & Pektaş, Ç. (2023). Marka Deneyimi Konusunda Hazırlanan Lisansüstü Tezlerin Bibliyometrik Profili. Necmettin Erbakan Üniversitesi Siyasal Bilgiler Fakültesi Dergisi, 5(1), Article 1.
  8. Briffa, J., Sinagra, E., & Blundell, R. (2020). Heavy metal pollution in the environment and their toxicological effects on humans. Heliyon, 6(9), e04691. https://doi.org/10.1016/j.heliyon.2020.e04691
  9. Buissing, T. N. (2022). EU Air Transport and the EU’s Environmental Agenda Struggle: A Leap of Faith or Can a CBAM Level the Playing Field? AIR & SPACE LAW, 47(6). https://www.webofscience.com/wos/woscc/full-record/WOS:000878786400001
  10. Cao, K., Xu, B., He, Y., & Xu, Q. (2020). Optimal carbon reduction level and ordering quantity under financial constraints. International Transactions in Operational Research, 27(5), 2270-2293.
  11. Chang, Y.-W., Huang, M.-H., & Lin, C.-W. (2015). Evolution of research subjects in library and information science based on keyword, bibliographical coupling, and co-citation analyses. Scientometrics, 105(3), 2071-2087. https://doi.org/10.1007/s11192-015-1762-8
  12. Chellappandi, P., & Vijayakumar, C. S. (2018). Bibliometrics, Scientometrics, Webometrics/ Cybermetrics, Informetrics and Altmetrics – an Emerging Field in Library and Information Science Research. Shanlax International Journal of Education, 7(1), Article 1.
  13. Cobo, M. j., López-Herrera, A. g., Herrera-Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382-1402. https://doi.org/10.1002/asi.21525
  14. Criqui, P., Jaccard, M., & Sterner, T. (2019). Carbon Taxation: A Tale of Three Countries. Sustainability, 11(22), 6280. https://doi.org/10.3390/su11226280
  15. Çevik, Z. (2021). Bibliyometrik Araştırmalarda Analiz Tekniklerinin Uygulanması: VOSviewer Paket Programı. İçinde O. Öztürk ve G. Gürler, Bir Literatür İncelemesi Aracı Olarak Bibliyometrik Analiz, 125-213.
  16. Çiçek Korkmaz, A., & Altuntaş, S. (2022). A bibliometric analysis of COVID‐19 publications in nursing by visual mapping method. Journal of Nursing Management, 30(6), 1892-1902.
  17. Deng, J., Luo, X., & Hu, M. (2022). Implications of a Carbon Tax Mechanism in Remanufacturing Outsourcing on Carbon Neutrality. International Journal of Environmental Research and Public Health, 19(9), 5520.
  18. Ding, J., Chen, W., & Wang, W. (2020). Production and carbon emission reduction decisions for remanufacturing firms under carbon tax and take-back legislation. Computers & Industrial Engineering, 143, 106419. https://doi.org/10.1016/j.cie.2020.106419
  19. Ding, Y., Zhang, G., Chambers, T., Song, M., Wang, X., & Zhai, C. (2014). Content-based citation analysis: The next generation of citation analysis. Journal of the Association for Information Science and Technology, 65(9), 1820-1833. https://doi.org/10.1002/asi.23256
  20. Djeki, E., Dégila, J., Bondiombouy, C., & Alhassan, M. H. (2022). E-learning bibliometric analysis from 2015 to 2020. Journal of Computers in Education, 9(4), 727-754. https://doi.org/10.1007/s40692-021-00218-4
  21. Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296. https://doi.org/10.1016/j.jbusres.2021.04.070
  22. Dou, G., & Cao, Ka., (2020). A Joint Analysis of the Environmental and Economic Performances of Closed-Loop Supply Chains Under Carbon Tax Regulation. Computers & Industrial Engineering (pp. 106-119)., 146 (2020), Article 106624
  23. Dulong, A. von, Hagen, A., Mendelevitch, R., & Eisenack, K. (2023). Buy coal and gas? Interfuel carbon leakage on deposit markets with market power. Energy Economics, 117(C). https://ideas.repec.org//a/eee/eneeco/v117y2023ics0140988322005631.html
  24. Duran, G., & Çeli̇kkaya, S. (2019). Türkiye’de Lojistik Üzerine Yapılmış Lisansüstü Tezlerin Bibliyometrik Analizi. G.Ü. İslahiye İİBF Uluslararası E-Dergi, 3(3), Article 3.
  25. Durieux, V., & Gevenois, P. A. (2010). Bibliometric Indicators: Quality Measurements of Scientific Publication. Radiology, 255(2), 342-351. https://doi.org/10.1148/radiol.09090626
  26. Easterbrook, D. J. (2016). Chapter 9—Greenhouse Gases. İçinde D. J. Easterbrook (Ed.), Evidence-Based Climate Science (Second Edition) (ss. 163-173). Elsevier. https://doi.org/10.1016/B978-0-12-804588-6.00009-4
  27. Eslamipirharati, M., Jolai, F., & Aghsami, A. (2023). A Bi-objective two-stage stochastic optimization model for sustainable reverse supply chain network design under carbon tax policy and government subsidy considering product quality. Journal Of Industrial and Production Engineering, 40(6), 411-431. https://doi.org/10.1080/21681015.2023.2213688
  28. Etlioğlu, M. (2023). Görsel Haritalama Tekniği ile Yeşil Pazarlama Bibliyometrik Analizi. Fivezero Dergisi, 3(1), 146-162.
  29. Fonseca, B. D. P. F. E., Sampaio, R. B., Fonseca, M. V. D. A., & Zicker, F. (2016). Co-authorship network analysis in health research: method and potential use. Health research policy and systems, 14, 1-10.
  30. Gaur, N., Sharma, S., & Yadav, N. (2024). Chapter 2—Environmental pollution. İçinde V. K. Garg, A. Yadav, C. Mohan, S. Yadav, & N. Kumari (Ed.), Green Chemistry Approaches to Environmental Sustainability (ss. 23-41). Elsevier. https://doi.org/10.1016/B978-0-443-18959-3.00010-0
  31. Grieder, M., Bärenbold, R., Schmitz, J., & Schubert, R. (2021). The Behavioral Effects of Carbon Taxes – Experimental Evidence (SSRN Scholarly Paper 3628516). https://doi.org/10.2139/ssrn.3628516
  32. Guerrero-Velástegui, C.-A., Infante-Paredes, R., Mejía-Vayas, C., & Silva-Arcos, P. (2023). Bibliometric Analysis Based on Scientific Mapping in the Use of Digital Marketing Strategies. Içinde R. Valencia-García, M. Bucaram-Leverone, J. Del Cioppo-Morstadt, N. Vera-Lucio, & P. H. Centanaro-Quiroz (Ed.), Technologies and Innovation (ss. 251-264). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-45682-4_18
  33. Handa, N., Singh, S. R., & Katariya, C. (2023). A reverse Logistics Inventory Model with Consideration of Carbon Tax Policy, Imperfect Production, and Partial Backlogging Under a Sustainable Supply Chain. Process Integration and Optimization for Sustainability. https://doi.org/10.1007/s41660-023-00381-4
  34. Harrison, K. (2010). The Comparative Politics of Carbon Taxation. Içinde J. Hagan, K. L. Scheppele, & T. R. Tyker (Ed.), Annual Review of Law and Social Science, Vol 6 (C. 6, ss. 507-529). Annual Reviews. https://doi.org/10.1146/annurev.lawsocsci.093008.131545
  35. Herault, N. (2005). A Micro-Macro Model for South Africa: Building and Linking a Microsimulation Model to a CGE Model.
  36. Herrera-Franco, G., Montalván-Burbano, N., Mora-Frank, C., & Bravo-Montero, Lady. (2021). Scientific Research in Ecuador: A Bibliometric Analysis. Publications, 9(4), Article 4. https://doi.org/10.3390/publications9040055
  37. Khan, J., & Johansson, B. (2022). Adoption, implementation and design of carbon pricing policy instruments. Energy Strategy Reviews, 40(100801). https://doi.org/10.1016/j.esr.2022.100801
  38. Khan, K., Rahim, M., Rahman, M., & Akramuzzaman. (2022). A study on greenhouse gas. 8, 1359-1375.
  39. Khastar, M., Aslani, A., & Nejati, M. (2020). How does carbon tax affect social welfare and emission reduction in Finland?. Energy Reports, 6, 736-744.
  40. King, L. C., & van den Bergh, J. C. J. M. (2021). Potential carbon leakage under the Paris Agreement. Climatic Change, 165(3), 1-19. https://doi.org/10.1007/s10584-021-03082-4
  41. Korkmaz, İ. H., & Çeti̇nkaya, C. (2019). Post-graduate Thesis on Logistics and Supply Chain in Turkey: A Bibliometric Analysis. Gaziantep University Journal of Social Sciences, 18(1), Article 1. https://doi.org/10.21547/jss.427357
  42. Kruse-Andersen, P. K. (2023). Directed technical change, environmental sustainability, and population growth. Journal of Environmental Economics and Management, 122, 102885.
  43. Kumar, S., Marrone, M., Liu, Q., & Pandey, N. (2020). Twenty years of the International Journal of Accounting Information Systems: A bibliometric analysis. International Journal of Accounting Information Systems, 39(100488), 1-19. https://doi.org/10.1016/j.accinf.2020.100488
  44. Leiserowitz, A. (2006). Climate change risk perception and policy preferences: The role of affect, imagery, and values. Climatic Change, 77(1-2), 45-72. https://doi.org/10.1007/s10584-006-9059-9
  45. Leung, X. Y., Sun, J., & Bai, B. (2017). Bibliometrics of social media research: A co-citation and co-word analysis. International Journal of Hospitality Management, 66, 35-45. https://doi.org/10.1016/j.ijhm.2017.06.012
  46. Li, A., Li, S., Chen, S., & Sun, X. (2024). The role of Fintech, natural resources, and renewable energy consumption in Shaping environmental sustainability in China: A NARDL perspective. RESOURCES POLICY, 88, 104464. https://doi.org/10.1016/j.resourpol.2023.104464
  47. Li, X., Yao, X., Guo, Z., & Li, J. (2020). Employing the CGE model to analyze the impact of carbon tax revenue recycling schemes on employment in coal resource-based areas: Evidence from Shanxi. The Science of the Total Environment, 720, 137192. https://doi.org/10.1016/j.scitotenv.2020.137192
  48. Lim, S., & Prakash, A. (2023). Does carbon pricing spur climate innovation? A panel study, 1986–2019. Journal of Cleaner Production, 395, 136459. https://doi.org/10.1016/j.jclepro.2023.136459
  49. Lin, B., & Li, X. (2011). The effect of carbon tax on per capita CO2 emissions. Energy Policy, 39(9), 5137-5146. https://doi.org/10.1016/j.enpol.2011.05.050
  50. Liu, D., Che, S., & Zhu, W. (2022). Visualizing the Knowledge Domain of Academic Mobility Research from 2010 to 2020: A Bibliometric Analysis Using CiteSpace. SAGE Open, 12(1), 21582440211068510. https://doi.org/10.1177/21582440211068510
  51. Ma, R. (2012). Author bibliographic coupling analysis: A test based on a Chinese academic database. Journal of Informetrics, 6(4), 532-542. https://doi.org/10.1016/j.joi.2012.04.006
  52. MacRoberts, M. H., & MacRoberts, B. R. (1989). Problems of citation analysis: A critical review. Journal of the American Society for Information Science, 40(5), 342-349. https://doi.org/10.1002/(SICI)1097-4571(198909)40:53.0.CO;2-U
  53. Maseda, A., Iturralde, T., Cooper, S., & Aparicio, G. (2022). Mapping women’s involvement in family firms: A review based on bibliographic coupling analysis. International Journal of Management Reviews, 24(2), 279-305. https://doi.org/10.1111/ijmr.12278
  54. Meng, X., & Yu, Y. (2023). Can renewable energy portfolio standards and carbon tax policies promote carbon emission reduction in China’s power industry? Energy Policy, 174(C). https://ideas.repec.org//a/eee/enepol/v174y2023ics0301421523000460.html
  55. Metcalf, G. E. (2023). Five myths about carbon pricing. Oxford Review of Economic Policy, 39(4), 680-693. https://doi.org/10.1093/oxrep/grad042
  56. Mikhaylov, A., Moiseev, N., Aleshin, K., & Burkhardt, T. (2020). Global climate change and greenhouse effect. Entrepreneurship and Sustainability Issues, 7, 2897-2913. https://doi.org/10.9770/jesi.2020.7.4(21)
  57. Mintz-Woo, K. (2023). Carbon tax ethics. WIREs Climate Change, n/a(n/a), e858. https://doi.org/10.1002/wcc.858
  58. Mohamad, A. N., Bakri, N. N., & Ahmad, M. S. (2018). Visualising research data in dentistry. 2018 4th International Conference on Information Management (ICIM), 35-40. https://doi.org/10.1109/INFOMAN.2018.8392805
  59. Montalván-Burbano, N., Pérez-Valls, M., & Plaza-Úbeda, J. (2020). Analysis of scientific production on organizational innovation. Cogent Business & Management, 7(1), 1745043. https://doi.org/10.1080/23311975.2020.1745043
  60. Naiyer, S., & Abbas, S. S. (2022). Effect of Greenhouse Gases on Human Health. Içinde S. Sonwani & P. Saxena (Ed.), Greenhouse Gases: Sources, Sinks and Mitigation (ss. 85-106). Springer Nature. https://doi.org/10.1007/978-981-16-4482-5_5
  61. Nicolaisen, J. (2007). Citation analysis. Annual Review of Information Science and Technology, 41(1), 609-641. https://doi.org/10.1002/aris.2007.1440410120
  62. Nordhaus, W. D. (1992). An Optimal Transition Path for Controlling Greenhouse Gases. Science, 258(5086), 1315–1319. http://www.jstor.org/stable/2880417
  63. O’Ryan, R., Nasirov, S., & Osorio, H. (2023). Assessment of the potential impacts of a carbon tax in Chile using dynamic CGE model. Journal of Cleaner Production, 403, 136694. https://doi.org/10.1016/j.jclepro.2023.136694
  64. Osareh, F. (1996). Bibliometrics, Citation Analysis and Co-Citation Analysis: A Review of Literature I. 46(3), 149-158. https://doi.org/10.1515/libr.1996.46.3.149
  65. Pearce, D. (1991). The Role of Carbon Taxes in Adjusting to Global Warming. The Economic Journal, 101(407), 938-948.
  66. Pesta, B., Fuerst, J., & Kirkegaard, E. O. W. (2018). Bibliometric Keyword Analysis across Seventeen Years (2000–2016) of Intelligence Articles. Journal of Intelligence, 6(4), Article 4. https://doi.org/10.3390/jintelligence6040046
  67. Peters, H. P. F., & Van Raan, A. F. J. (1991). Structuring scientific activities by co-author analysis. Scientometrics, 20(1), 235-255. https://doi.org/10.1007/BF02018157
  68. Qu, X., & Sun, X. (2022). How to improve the function of government carbon tax in promoting enterprise carbon emission reduction: From the perspective of three-stage dynamic game. Environmental Science and Pollution Research International, 29(21), 31348-31362. https://doi.org/10.1007/s11356-021-18236-1
  69. Rathore, H., & Jakhar, S. K. (2021). Differential carbon tax policy in aviation: One stone that kills two birds? Journal of Cleaner Production, 296, 126479. https://doi.org/10.1016/j.jclepro.2021.126479
  70. Rey-Marti, A., Ribeiro-Soriano, D., & Palacios-Marques, D. (2016). A bibliometric analysis of social entrepreneurship. JOURNAL OF BUSINESS RESEARCH, 69(5), 1651-1655. https://doi.org/10.1016/j.jbusres.2015.10.033
  71. Ruiz-Perez, M., Segui-Pons, J. M., & Salleras-Mestre, X. (2023). Bibliometric analysis of equity in transportation. HELIYON, 9(8), e19089. https://doi.org/10.1016/j.heliyon.2023.e19089
  72. Sadiq, M., Chau, K. Y., Ha, N. T. T., Phan, T. T. H., Ngo, T. Q., & Huy, P. Q. (2023). The impact of green finance, eco-innovation, renewable energy and carbon taxes on CO2 emissions in BRICS countries: Evidence from CS ARDL estimation. Geoscience Frontiers, 101689. https://doi.org/10.1016/j.gsf.2023.101689
  73. Scherbakova, N. G., & Bredikhin, S. V. (2021). Co-authorship network structure analysis. In Journal of Physics: Conference Series (Vol. 2099, No. 1, p. 012055). IOP Publishing.
  74. Sengupta, I. N. (1992). Bibliometrics, Informetrics, Scientometrics and Librametrics: An Overview. 42(2), 75-98. https://doi.org/10.1515/libr.1992.42.2.75
  75. Shen, J., & Zhao, C. (2022). Carbon Trading or Carbon Tax? A Computable General Equilibrium–Based Study of Carbon Emission Reduction Policy in China. Frontiers in Energy Research, 10. https://www.frontiersin.org/articles/10.3389/fenrg.2022.906847
  76. Singh, P., Yadav, D., & Pandian E, S. (2021). 5—Link between air pollution and global climate change. İçinde S. Singh, P. Singh, S. Rangabhashiyam, & K. K. Srivastava (Ed.), Global Climate Change (ss. 79-108). Elsevier. https://doi.org/10.1016/B978-0-12-822928-6.00009-5
  77. Sinn, H.-W. (2008). Public policies against global warming: A supply side approach. International Tax and Public Finance, 15(4), 360-394. https://doi.org/10.1007/s10797-008-9082-z
  78. Song, J., Zhang, H., & Dong, W. (2016). A review of emerging trends in global PPP research: Analysis and visualization. Scientometrics, 107, 1111-1147.
  79. Tabash, M. I., Kumar, A., Sharma, S., Vashistha, R., & Refae, G. A. E. (2022). International journal of organizational analysis: A bibliometric review (2005–2020). International Journal of Organizational Analysis, ahead-of-print(ahead-of-print). https://doi.org/10.1108/IJOA-10-2021-2990
  80. Ukaogo, P. O., Ewuzie, U., & Onwuka, C. V. (2020). 21 - Environmental pollution: Causes, effects, and the remedies. İçinde P. Chowdhary, A. Raj, D. Verma, & Y. Akhter (Ed.), Microorganisms for Sustainable Environment and Health (ss. 419-429). Elsevier. https://doi.org/10.1016/B978-0-12-819001-2.00021-8
  81. van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. https://doi.org/10.1007/s11192-009-0146-3
  82. van Eck, N. J., Waltman, L., Dekker, R., & van den Berg, J. (2010). A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS. Journal of the American Society for Information Science and Technology, 61(12), 2405-2416. https://doi.org/10.1002/asi.21421
  83. Vishwakarma, P. (2023). Journal of Internet Commerce: A Bibliometric Overview. Journal of Internet Commerce, 22(4), 567-593. https://doi.org/10.1080/15332861.2022.2095178
  84. Wang, H., Li, Y., & Bu, G. (2023). How carbon trading policy should be integrated with carbon tax policy—Laboratory evidence from a model of the current state of carbon pricing policy in China. Environmental Science and Pollution Research, 30(9), 23851-23869. https://doi.org/10.1007/s11356-022-23787-y
  85. Wang, J., & Huang, X. (2018). The Optimal Carbon Reduction and Return Strategies under Carbon Tax Policy. Sustainability, 10(7), 2471.
  86. Wang, M., & Chai, L. (2018). Three new bibliometric indicators/approaches derived from keyword analysis. Scientometrics, 116(2), 721-750. https://doi.org/10.1007/s11192-018-2768-9
  87. Wang, S., Yan, H., & Chen, P. (2023). A comparative study of carbon emission reduction modes in supply chain under carbon tax mechanism. Environment, Development and Sustainability, 1-41. https://doi.org/10.1007/s10668-023-03964-w
  88. Wang, X., Li, R., Ren, S., Zhu, D., Huang, M., & Qiu, P. (2014). Collaboration network and pattern analysis: Case study of dye-sensitized solar cells. Scientometrics, 98(3), 1745-1762. https://doi.org/10.1007/s11192-013-1180-8
  89. Wei, G. (2019). A Bibliometric Analysis of the Top Five Economics Journals During 2012–2016. Journal of Economic Surveys, 33(1), 25-59. https://doi.org/10.1111/joes.12260
  90. Wei, H., Yue, G., & Khan, N. U. (2024). Uncovering the impact of Fintech, Natural Resources, Green Finance and Green Growth on Environment sustainability in BRICS: An MMQR analysis. Resources Policy, 89, 104515. https://doi.org/10.1016/j.resourpol.2023.104515
  91. Wittig, G. R. (1978). Documentation Note: Statistical Bibliography—A Historical Footnote. Journal of Documentation, 34(3), 240-241. https://doi.org/10.1108/eb026662
  92. Yan, J., & Yang, J. (2021). Carbon pricing and income inequality:A case study of Guangdong Province, China. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2021.126491
  93. Yang, K., & Meho, L. I. (2006). Citation Analysis: A Comparison of Google Scholar, Scopus, and Web of Science. Proceedings of the American Society for Information Science and Technology, 43(1), 1-15. https://doi.org/10.1002/meet.14504301185
  94. Yolaçan, H., Güler, S., & Özmanevra, R. (2023). Clubfoot from past to the present: A bibliometric analysis with global productivity and research trends. Medicine, 102(6), e32803. https://doi.org/10.1097/MD.0000000000032803
  95. Yu, B., Zhao, Q., & Wei, Y.-M. (2021). Review of carbon leakage under regionally differentiated climate policies. The Science of the Total Environment, 782, 146765. https://doi.org/10.1016/j.scitotenv.2021.146765
  96. Yunzhao, L. (2022). Modelling the role of eco innovation, renewable energy, and environmental taxes in carbon emissions reduction in E−7 economies: Evidence from advance panel estimations. Renewable Energy, 190, 309-318. https://doi.org/10.1016/j.renene.2022.03.119
  97. Zhang, Y., Jiang, S., Lin, X., Qi, L., & Sharp, B. (2023). Income distribution effect of carbon pricing mechanism under China’s carbon peak target: CGE-based assessments. Environmental Impact Assessment Review, 101, 107149. https://doi.org/10.1016/j.eiar.2023.107149
  98. Zhou, Y., Fang, W., Li, M., & Liu, W. (2018). Exploring the impacts of a low-carbon policy instrument: A case of carbon tax on transportation in China. Resources Conservation And Recycling, 139, 307-314. https://doi.org/10.1016/j.resconrec.2018.08.015
  99. Zupic, I., & Čater, T. (2015). Bibliometric Methods in Management and Organization. Organizational Research Methods, 18(3), 429-472. https://doi.org/10.1177/1094428114562629