SavedAdd your journal

Journals / İzmir Yönetim Dergisi / 2026 / Cilt: 7 Sayı: 1

Evolutionary Analysis of Green Transformation: A Comparative Analysis on Global and National Scales

Yeşil Dönüşümün Evrimsel Analizi: Küresel ve Ulusal Ölçekte Karşılaştırmalı Bir Analiz

Sibel Baysallar(DOKUZ EYLÜL ÜNİVERSİTESİ)0009-0007-8220-3731
Levent Yılmaz(DOKUZ EYLÜL ÜNİVERSİTESİ)0000-0002-5538-8781
Pages
96–128
Publication Date
2026-07-28
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

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

The analysis results show that the green transformation literature has developed with a focus on macroeconomic transformation, digitalization, and financial mechanisms on a global scale while it has been shaped with a focus on European Union climate policies, renewable energy, corporate governance, and innovation on a national scale.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study comparatively analyzes the evolutionary development of the green transformation field which expresses a mission-oriented social and economic transformation process on a global and national scale.
📊
Key Findings & Data:Science mapping is a strategic tool that allows examining the evolution of scientific research areas and determining the current thematic patterns of the research area.
💡
Conclusion & Impact:The analysis results show that the green transformation literature has developed with a focus on macroeconomic transformation, digitalization, and financial mechanisms on a global scale while it has been shaped with a focus on European Union climate policies, renewable energy, corporate governance, and innovation on a national scale.
🔬Design:Araştırma Makalesi
📍Scope:2010-2024 Verileri
⚙️Variables:Yeşil Dönüşüm · Yeşil Geçiş · Bilim Haritalama

Abstract

This study comparatively analyzes the evolutionary development of the green transformation field which expresses a mission-oriented social and economic transformation process on a global and national scale. In the study conducted with the bibliometry method the science mapping technique was used. Science mapping is a strategic tool that allows examining the evolution of scientific research areas and determining the current thematic patterns of the research area. Two separate data sets subject to evolutionary analysis were obtained for the 2010-2024 period using WoS and TRDizin data sources. The analysis results show that the green transformation literature has developed with a focus on macroeconomic transformation, digitalization, and financial mechanisms on a global scale while it has been shaped with a focus on European Union climate policies, renewable energy, corporate governance, and innovation on a national scale. In the global literature, the thematic structure is more integrated and the economic and technological dimensions of the transformation exhibit an integrated structure in the policy area. The national literature on the other hand, has a context-sensitive structural character with policy tools, analyses and sectoral applications. In the national literature, it is noteworthy that chemistry and materials science contribute significantly to the green transformation literature as niche areas. Considering the evidence-based policymaking priority in Turkey's green transformation policy documents the research results are expected to support rational decision-making processes.

Özet

Bu çalışma misyon odaklı toplumsal ve ekonomik dönüşüm sürecini ifade eden yeşil dönüşüm alanının küresel ve ulusal ölçekte evrimsel gelişimini karşılaştırmalı olarak analiz etmektedir. Bibliyometri yöntemiyle yürütülen çalışmada bilim haritalama tekniği kullanılmıştır. Bilim haritalama, bilimsel araştırma alanlarının evrimini incelemeye ve araştırma alanının mevcut tematik kalıplarını belirlemeye imkân tanıyan stratejik bir araçtır. Evrimsel analize konu olan iki ayrı veri seti 2010-2024 dönem aralığı için WoS ve TRDizin veri kaynakları kullanılarak elde edilmiştir. Analiz sonuçları, yeşil dönüşüm literatürünün küresel ölçekte makro ekonomik dönüşüm, dijitalleşme ve finansal mekanizmalar odağında gelişim gösterdiğini, ulusal ölçekte ise Avrupa Birliği iklim politikaları, yenilenebilir enerji, kurumsal yönetişim ve inovasyon odağında şekillendiğini göstermektedir. Küresel literatürde tematik yapı daha bütünleşik olup, dönüşümün ekonomik ve teknolojik boyutu politika alanında entegre bir yapı sergilemektedir. Ulusal literatür ise politika araçları, analizler ve sektörel uygulamalar ile bağlama duyarlı bir yapı karakterine sahiptir. Ulusal literatürde kimya ve malzeme biliminin niş alanlar olarak yeşil dönüşüm literatürüne önemli ölçüde katkı sağladığı dikkat çekmektedir. Türkiye’nin yeşil dönüşüm politika belgelerinde yer alan kanıta dayalı politika yapım önceliği dikkate alındığında araştırma sonuçlarının rasyonel karar verme süreçlerini desteklemesi beklenmektedir.

🔖

Cite This Article

Baysallar, S., Yılmaz, L. (2026). Evolutionary Analysis of Green Transformation: A Comparative Analysis on Global and National Scales. İzmir Yönetim Dergisi, Cilt: 7 Sayı: 1, 96–128. https://doi.org/10.56203/iyd.1915091

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (56)

  1. Andersen, M. S. (2007). An introductory note on the environmental economics of the circular economy. Sustainability science, 2(1), 133-140.
  2. Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of informetrics, 11(4), 959-975.
  3. Birkle, C., Pendlebury, D. A., Schnell, J., & Adams, J. (2020). Web of Science as a data source for research on scientific and scholarly activity. Quantitative science studies, 1(1), 363-376.
  4. Blondel, V. D., Guillaume, J. L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of statistical mechanics: theory and experiment, 2008(10), P10008.
  5. Boyack, K. W., Klavans, R., & Börner, K. (2005). Mapping the backbone of science. Scientometrics, 64(3), 351-374.
  6. Callon, M., Courtial, J. P., ve Laville, F. (1991). Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemsitry. Scientometrics, 22(1), 155-205.
  7. Cheba, K., Bąk, I., Szopik-Depczyńska, K., & Ioppolo, G. (2022). Directions of green transformation of the European Union countries. Ecological Indicators, 136, 108601.
  8. Chen, W., Zou, W., Zhong, K., & Aliyeva, A. (2023). Machine learning assessment under the development of green technology innovation: A perspective of energy transition. Renewable Energy, 214, 65-73.
  9. Claeys, G., Tagliapietra, S., & Zachmann, G. (2019). How to make the European Green Deal work (Vol. 13, pp. 171-204). Brussels, Belgium: Bruegel
  10. Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. Journal of informetrics, 5(1), 146-166.
  11. Coenen, L., Benneworth, P., & Truffer, B. (2012). Toward a spatial perspective on sustainability transitions. Research policy, 41(6), 968-979.
  12. Colglazier, W. (2015). Sustainable development agenda: 2030. Science, 349(6252), 1048-1050. De Felice, F., & Petrillo, A. (2021). Green transition: The frontier of the digicircular economy evidenced from a systematic literature review. Sustainability, 13(19), 11068
  13. Dinges, M., Kerlen, C., Knöbel, S., & Toepel, K. (2025). The Contribution of R&I programmes to Transition: Evidence on Transformative Outcomes in the areas of the Green Transition and the Energy Transition, Fteval Journal for Research and Technology Policy Evaluation, (57), e9.
  14. 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.
  15. Delecroix, B., & Epstein, R. (2004). Co-word analysis for the non-scientific information example of Reuters Business Briefings. Data Science Journal, 3, 80-87
  16. Eck, N. J. V., & Waltman, L. (2009). How to normalize cooccurrence data? An analysis of some well‐known similarity measures. Journal of the American society for information science and technology, 60(8), 1635-1651.
  17. Edler, J., Matt, M., Polt, W., & Weber, M. (2025). Transformative mission-oriented STI policy: Theoretical and conceptual rationales, intervention logics and challenges of an emerging type of STI policies. In Transformative mission-oriented innovation policies (pp. 16-35).
  18. Ellen MacArthur Foundation, (2013). Circular Economy Overview.
  19. Erickson, L. E., & Brase, G. (2019). Paris agreement on climate change. In Reducing greenhouse gas emissions and improving air quality (pp. 11-22). CRC Press.
  20. European Commission. (2010). Europe 2020: A strategy for smart, sustainable and inclusive growth: Communication from the commission. Publications Office of the European Union.
  21. European Commission (2019). The European Green Deal. Brussels.
  22. Fetting, C. (2020). The European green deal. ESDN report, December, 2(9), 53.
  23. Geels, F. W. (2002). Technological transitions as evolutionary reconfiguration processes: a multi-level perspective and a case-study. Research policy, 31(8-9), 1257-1274
  24. Geels, F. W., & Schot, J. (2007). Typology of sociotechnical transition pathways. Research policy, 36(3), 399-417
  25. Hairol Anuar, S. H., Abas, Z. A., Yunos, N. M., Mohd Zaki, N. H., Hashim, N. A., Mokhtar, M. F.,. & Nizam, A. F. (2021). Comparison between Louvain and Leiden algorithm for network structure: A review. In Journal of Physics: Conference Series (Vol. 2129, No. 1, p. 012028).
  26. Harzing, A. W. (2019). Two new kids on the block: How do Crossref and Dimensions compare with Google Scholar, Microsoft Academic, Scopus and the Web of Science? Scientometrics, 120(1), 341-349.
  27. Hickel, J., & Kallis, G. (2020). Is green growth possible? New political economy, 25(4), 469-486.
  28. Kaya, Y. (2013). Çevre Politikası İlkeleri, Aktörleri ve Araçları. Söylemden Pratiğe Bir Süreç Analizi. In Mete Y. & Sobacı, M.Z. (Ed.), Kamu Politikası: Kuram ve Uygulama (Public Policy: Theory and Practice) (ss. 466-497).
  29. Kemp, R., Schot, J., & Hoogma, R. (1998). Regime shifts to sustainability through processes of niche formation: the approach of strategic niche management. Technology analysis and strategic management, 10(2), ss. 175-198.
  30. Kirchherr, J., Reike, D., & Hekkert, M. (2017). Conceptualizing the circular economy: An analysis of 114 definitions. Resources, conservation and recycling, 127, 221-232.
  31. Lancichinetti, A., & Fortunato, S. (2009). Community detection algorithms: a comparative analysis. Physical Review E—Statistical, Nonlinear, and Soft Matter Physics, 80(5), 056117. Leal-Arcas, R., Faktaufon, M., & Kyprianou, A. (2022). A legal exploration of the European Union’s carbon border adjustment mechanism. European Energy and Environmental Law Review, 31(4).
  32. MacArthur, E. (2015). Towards a circular economy: business rationale for an accelerated transition. Greener Manag International, 20(3), 22-34.
  33. Markard, J., Raven, R., & Truffer, B. (2012). Sustainability transitions: An emerging field of research and its prospects. Research policy, 41(6), 955-967.
  34. Mazzucato, M. (2015). Building the entrepreneurial state: A new framework for envisioning and evaluating a mission-oriented public sector (No. 824). Working paper.
  35. Mazzucato, M., & Penna, C. C. (Eds.). (2015). Mission-oriented finance for innovation: New ideas for investment-led growth. Bloomsbury Publishing PLC
  36. Mazzucato, M. (2016). From market fixing to market-creating: a new framework for innovation policy. Industry and innovation, 23(2), 140-156.
  37. Mazzucato, M. (2018). Mission-oriented innovation policies: challenges and opportunities. Industrial and corporate change, 27(5), 803-815.
  38. Mentel, G., Lewandowska, A., Berniak-Woźny, J., & Tarczyński, W. (2023). Green and renewable energy innovations: a comprehensive bibliometric analysis. Energies, 16(3), 1428. OECD (Organization for Economic Co-operation and Development). (2011). Towards Green Growth
  39. Okubo, Y. (1997). Bibliometric indicators and analysis of research systems.
  40. Republic of Turkey Ministry of Trade. (2021). Green Deal Action Plan. Ankara.
  41. Republic of Turkey Presidency of Strategy and Budget. (2023). Twelfth Development Plan (2024-2028).
  42. Rockström, J., Sachs, J. D., Öhman, M. C., & Schmidt-Traub, G. (2022). Sustainable development and planetary boundaries. Sustainable Development Solutions Network.
  43. Sander, J., Ester, M., Kriegel, H. P., & Xu, X. (1998). Density-based clustering in spatial databases: The algorithm gdbscan and its applications. Data mining and knowledge discovery, 2(2), 169-194.
  44. Schot, J., & Kanger, L. (2018). Deep transitions: Emergence, acceleration, stabilization and directionality. Research Policy, 47(6), 1045-1059.
  45. Schot, J., & Steinmueller, W. E. (2018). Three frames for innovation policy: R&D, systems of innovation and transformative change. Research policy, 47(9), 1554-1567.
  46. Small, H. (1999). Visualizing science by citation mapping. Journal of the American society for Information Science, 50(9), 799-813.
  47. Sternitzke, C., & Bergmann, I. (2009). Similarity measures for document mapping: A comparative study on the level of an individual scientist. Scientometrics, 78(1), 113-130.
  48. Valache-Dărîngă, A. A., Ciurea, M., & Popescu, M. (2025). A bibliometric perspective of the green transition within the framework of sustainable development. World, 6(4), 140.
  49. UNEP. (2011). Towards a green economy: Pathways to sustainable development and poverty eradication. United Nations Environment Programme.
  50. Visser, M., Van Eck, N. J., & Waltman, L. (2021). Large-scale comparison of bibliographic data sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academic. Quantitative science studies, 2(1), 20-41.
  51. Zhang, J., Fei, J., Song, X., & Feng, J. (2021). An improved Louvain algorithm for community detection. Mathematical Problems in Engineering, 2021(1), 1485592.
  52. Waltman, L., Van Eck, N. J., & Noyons, E. C. (2010). A unified approach to mapping and clustering of bibliometric networks. Journal of informetrics, 4(4), 629-635.
  53. Wu, J. (2012). Cluster analysis and K-means clustering: an introduction. In Advances in K-Means clustering: A data mining thinking (pp. 1-16). Berlin, Heidelberg: Springer Berlin Heidelberg.
  54. Xu, J., Liu, Q., Wider, W., Zhang, S., Fauzi, M. A., Jiang, L.,. & An, Z. (2024). Research landscape of energy transition and green finance: A bibliometric analysis.
  55. Hairol Anuar, S. H., Abas, Z. A., Yunos, N. M., Mohd Zaki, N. H., Hashim, N. A., Mokhtar, M. F.,. & Nizam, A. F. (2021). Comparison between Louvain and Leiden algorithm for network structure: A review. In Journal of Physics: Conference Series (Vol. 2129, No. 1, p. 012028).
  56. Xu, J., Liu, Q., Wider, W., Zhang, S., Fauzi, M. A., Jiang, L.,. & An, Z. (2024). Research landscape of energy transition and green finance: A bibliometric analysis.