Araştırma Makalesi

Green Credits: A Bibliometric Analysis of Publications in the Web of Science

Cilt: 17 Sayı: 2 31 Ağustos 2024
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Green Credits: A Bibliometric Analysis of Publications in the Web of Science

Öz

Sustainable development goals emphasize disseminating projects that do not pollute the environment. Green credit is one of the primary tools used to support and finance environmentally friendly projects. Thus, green credits appear to be a current research area. This research aims to conduct a bibliometric analysis of studies on green credits. To achieve this goal, we reviewed 2,630 studies published in the Web of Science database between 1980 and 2024. We presented the changes in the number of studies and citations over time, along with details about the most cited studies. In the literature review section, in particular, studies published recently were examined. Then, we categorize the studies based on document and index type, written language, countries, subjects, and citation categories. Our main results are: The most intense years for studies on green credits are 2022 and 2023. 98% of the studies were published in English, with over 80% being article-based. China leads the list of countries to conducting the most studies. The first three categories with the most studies are environmental sciences, green sustainable science technology, and economics. As the number of studies increased over time, citations also increased.

Anahtar Kelimeler

Destekleyen Kurum

No financial support was received from any person or institution for the study.

Etik Beyan

The author declares that this article complies with ethical standards and rules.

Kaynakça

  1. Ai, L., Wang, F., & Tan, L. (2023). Can green credit policy restrict the cross-region investment of heavy-polluting enterprises? Evidence from China. Environment, Development and Sustainability, 1–25. https://doi.org/10.1007/s10668-023-04045-8
  2. Azhar, S., Carlton, W. A., Olsen, D., & Ahmad, I. (2011). Building information modeling for sustainable design and LEED® rating analysis. Automation in Construction, 20(2), 217–224. https://doi.org/10.1016/j.autcon.2010.09.019
  3. Berikhanovna, C. M., Bauirzhanovna, B. A., Kudaibergenovna, N. G., Gulbagda, B., & Serikovna, Y. G. (2023). The influence of green credit policy on green innovation and transformation and upgradation as a function of corporate diversification: The case of Kazakhstan. Economies, 11(8), 210. https://doi.org/10.3390/economies11080210
  4. Bhatnagar, S., & Sharma, D. (2022). Evolution of green finance and its enablers: A bibliometric analysis. Renewable and Sustainable Energy Reviews, 162, 112405. https://doi.org/10.1016/j.rser.2022.112405
  5. Bonilla, C. A., Merigó, J. M., & Torres-Abad, C. (2015). Economics in Latin America: A bibliometric analysis. Scientometrics, 105, 1239–1252. https://doi.org/10.1007/s11192-015-1747-7
  6. Cai, R., & Guo, J. (2021). Finance for the environment: A scientometrics analysis of green finance. Mathematics, 9(13), 1537. https://doi.org/10.3390/math9131537
  7. Cao, Y., Zhang, Y., Yang, L., Li, R. Y. M., & Crabbe, M. J. C. (2021). Green credit policy and maturity mismatch risk in polluting and non-polluting companies. Sustainability, 13(7), 3615. https://doi.org/10.3390/su13073615
  8. Chen, S., & Golley, J. (2014). ‘Green’productivity growth in China's industrial economy. Energy Economics, 44, 89–98. https://doi.org/10.1016/j.eneco.2014.04.002

Ayrıntılar

Birincil Dil

İngilizce

Konular

Para-Bankacılık

Bölüm

Araştırma Makalesi

Erken Görünüm Tarihi

30 Ağustos 2024

Yayımlanma Tarihi

31 Ağustos 2024

Gönderilme Tarihi

4 Mart 2024

Kabul Tarihi

16 Ağustos 2024

Yayımlandığı Sayı

Yıl 2024 Cilt: 17 Sayı: 2

Kaynak Göster

APA
Özgün, F. (2024). Green Credits: A Bibliometric Analysis of Publications in the Web of Science. International Journal of Social Inquiry, 17(2), 233-252. https://doi.org/10.37093/ijsi.1446900
AMA
1.Özgün F. Green Credits: A Bibliometric Analysis of Publications in the Web of Science. IJSI. 2024;17(2):233-252. doi:10.37093/ijsi.1446900
Chicago
Özgün, Fergül. 2024. “Green Credits: A Bibliometric Analysis of Publications in the Web of Science”. International Journal of Social Inquiry 17 (2): 233-52. https://doi.org/10.37093/ijsi.1446900.
EndNote
Özgün F (01 Ağustos 2024) Green Credits: A Bibliometric Analysis of Publications in the Web of Science. International Journal of Social Inquiry 17 2 233–252.
IEEE
[1]F. Özgün, “Green Credits: A Bibliometric Analysis of Publications in the Web of Science”, IJSI, c. 17, sy 2, ss. 233–252, Ağu. 2024, doi: 10.37093/ijsi.1446900.
ISNAD
Özgün, Fergül. “Green Credits: A Bibliometric Analysis of Publications in the Web of Science”. International Journal of Social Inquiry 17/2 (01 Ağustos 2024): 233-252. https://doi.org/10.37093/ijsi.1446900.
JAMA
1.Özgün F. Green Credits: A Bibliometric Analysis of Publications in the Web of Science. IJSI. 2024;17:233–252.
MLA
Özgün, Fergül. “Green Credits: A Bibliometric Analysis of Publications in the Web of Science”. International Journal of Social Inquiry, c. 17, sy 2, Ağustos 2024, ss. 233-52, doi:10.37093/ijsi.1446900.
Vancouver
1.Fergül Özgün. Green Credits: A Bibliometric Analysis of Publications in the Web of Science. IJSI. 01 Ağustos 2024;17(2):233-52. doi:10.37093/ijsi.1446900

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