ASEAN ve SDG-9: Sürdürülebilir Kalkınmanın Dinamiklerinin Ortaya Çıkarılması

Abstract

Bu çalışma, 2006–2021 döneminde ASEAN ülkelerinde Sürdürülebilir Kalkınma Amacı 9’un (SKA-9: Sanayi, Yenilikçilik ve Altyapı) belirleyicilerini incelemektedir. Lojistik bağlantısallık, yenilenebilir enerji kullanımı, ticaret yoğunluğu, ekonomik büyüme ve işsizlik değişkenlerine odaklanan çalışma, yapısal ve makroekonomik faktörlerin sürdürülebilir sanayi gelişimini nasıl şekillendirdiğini analiz etmektedir. Ülkeler arasındaki yatay kesit bağımlılığı ve heterojen yapı dikkate alınarak ikinci nesil panel veri yöntemleri kullanılmıştır. Bu kapsamda, panel birim kök ve eşbütünleşme testleri kesit bağımlılığını dikkate alan yöntemlerle gerçekleştirilmiş, kısa ve uzun dönem ilişkiler CS-ARDL tahmincisi ile analiz edilmiştir. Ayrıca ülke bazlı farklılıkları incelemek amacıyla AMG tahmincisi kullanılmıştır. Elde edilen bulgular, lojistik bağlantısallık ve yenilenebilir enerji kullanımının SKA-9 üzerinde uzun dönemde pozitif ve anlamlı etkiler yarattığını göstermektedir. Buna karşılık, ekonomik büyüme ve işsizlik değişkenlerinin negatif etkileri tespit edilmiştir. Ticaret yoğunluğunun ise anlamlı bir etkisi bulunmamıştır. Sonuçlar, sürdürülebilir sanayi dönüşümü için bütüncül ve ülkeye özgü politika yaklaşımlarının gerekliliğini ortaya koymaktadır.

Keywords

• Sürdürülebilir Kalkınma
• ASEAN
• Hat Taşımacılığı Bağlantısallık Endeksi (LSCI)
• Yenilenebilir Enerji
• Uluslararası Ticaret Yoğunluğu.

ASEAN and SDG-9: Unveiling the Dynamics of Sustainable Development

Abstract

This study aims to examine the determinants of SDG-9 (Industry, Innovation and Infrastructure) in ASEAN countries for the period 2006–2021. By focusing on the effects of the Liner Shipping Connectivity Index (LSCI), renewable energy use (RNW), trade intensity (TRADE), GDP growth rate (GRW), and unemployment rate (UN), the research investigates how these factors shape sustainable industrial development in the region. Second-generation panel data methods were used, accounting for cross-sectional dependence and country-specific heterogeneity. In this context, panel unit root and cointegration tests were performed using methods that account for cross-sectional dependence, and short- and long-term relationships were analyzed using the CS-ARDL estimator. Additionally, the AMG estimator was used to examine country-specific differences. The findings show that logistical connectivity and renewable energy use have positive and significant long-term effects on SDG-9. In contrast, negative effects were detected from economic growth and unemployment variables. Trade intensity did not have a significant effect. The results highlight the need for holistic, country-specific policy approaches to sustainable industrial transformation.

Keywords

• Sustainable Development
• ASEAN
• Liner Shipping Connectivity Index (LSCI)
• Renewable Energy
• International Trade Intensity.

References

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. Aghion, P., Dechezleprêtre, A., Hémous, D., Martin, R., & Van Reenen, J. (2016). Carbon taxes, path dependency, and directed technical change: Evidence from the auto industry. Journal of Political Economy, 124(1), 1–51. https://doi.org/10.1086/684581
3. Aksorn, P., & Phansri, B. (2023). The influencing factors of area-based infrastructure project sustainability in Thailand. Environment, Development and Sustainability, 25(11), 13521–13539. https://doi.org/10.1007/s10668-022-02644-5
4. Altıntaş, H., & Mercan, M. (2015). Ar-Ge Harcamaları ve Ekonomik Büyüme İlişkisi: OECD Ülkeleri Üzerine Yatay Kesit Bağımlılığı Altında Panel Eşbütünleşme Analizi. Ankara Üniversitesi SBF Dergisi, 70(2), 345-376. https://doi.org/10.1501/SBFder_0000002355
5. Anantachoke, O. (2018). Financial role in supporting the sustainable development goals in ASEAN. Ho Chi Minh City Open University Journal of Science-Economics and Business Administration, 8(2), 95-114. https://doi.org/10.46223/hcmcoujs.econ.en.8.2.165.2018
6. Annamalaisamy, B., & Jayaraman, S. V. (2023). Renewable energy for sustainable development in Asia-Pacific region: Do foreign direct investment and regulatory quality matter? Sustainable Development, 31(1), 108–124. https://doi.org/10.1002/sd.2377
7. Arbisman, J., Ahuja, N., & Yong, H. (2025). Investment in Africa: Free trade area agreement powers continent's energy future. Reuters Special Reports. Retrieved December 24, 2024, from https://www.reuters.com
8. Asri, M. (2025). Impact of foreign direct investment (FDI) and idiosyncratic risk on economic growth and clean energy development in ASEAN countries: An empirical analysis. Social Science and Humanities Journal, 9(1), 6427–6439. https://doi.org/10.18535/sshj.v9i01.1466

9. Baier, S. L., Bergstrand, J. H., & Clance, M. W. (2018). Heterogeneous effects of economic integration agreements. Journal of Development Economics, 135, 587–608. https://doi.org/10.1016/j.jdeveco.2018.08.014
10. Canbay, Ş. (2024). The analysis of relationships between global shipping networks and foreign trade volumes in developing countries. Case Studies on Transport Policy, 17, 101242. https://doi.org/10.1016/j.cstp.2024.101242
11. Elfaki, K. E., Handoyo, R. D., & Ibrahim, K. H. (2021). The impact of industrialization, trade openness, financial development, and energy consumption on economic growth in Indonesia. Economies, 9(4), 1–13. https://doi.org/10.3390/economies9040174
12. Fugazza, M., & Hoffmann, J. (2016). Bilateral liner shipping connectivity since 2006. UNCTAD Studies in Transport and Trade, 4, 1–15.
13. Fugazza, M., & Hoffmann, J. (2017). Liner shipping connectivity as determinant of trade. Journal of Shipping and Trade, 2(1), 1–16. https://doi.org/10.1186/s41072-017-0019-5
14. Groba, F., & Breitschopf, B. (2013). Impact of renewable energy policy and use on innovation: A literature review. DIW Berlin Discussion Paper No. 1318, http://dx.doi.org/10.2139/ssrn.2327428
15. Güriş, S. (2015). STATA ile Panel Veri Modelleri, Der Yayınları, İstanbul.
16. Ha, N. N., & Phuong, D. M. (2025). Trade facilitation in ASEAN through customs cooperation-advancing towards Sustainable Development Goals 8, 9 and 17. Journal of Lifestyle and SDGs Review, 5(4), 1-24. https://doi.org/10.47172/2965-730x.sdgsreview.v5.n04.pe05642
17. Hoffmann, J. (2012). Corridors of the sea: An investigation into liner shipping connectivity. Les Corridors de Transport. EMS., 257–270.
18. Jones, C. I. (2022). The past and future of economic growth: A semi-endogenous perspective. Annual Review of Economics, 14(1), 125–152. https://doi.org/10.1146/annurev-economics-080521-012458
19. Khokhar, Z. H., Imran, M., Rauf, R., Naz, N., & Waseem, M. (2024). The impact of green finance, and eco-innovation on CO2 emissions: The pool mean group evidence from ASEAN countries in the context of SDGs. The Asian Bulletin of Green Management and Circular Economy, 4(1), 4-1. https://doi.org/10.62019/abgmce.v4i1.75
20. Kumar, N., & Chatterjee, S. (2023). Harnessing the potential of sustainable industrialization in South Asia. Institute for Studies in Industrial Development.
21. Küçükaksoy, İ., & Akalın, G. (2017). Fisher Hipotezi’nin Panel Veri Analizi ile Test Edilmesi: OECD Ülkeleri Uygulaması. Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 35(1), 19-40, Ankara. https://doi.org/10.17065/huniibf.303303
22. Luu, H. N., Nguyen, L. Q. T., & Nguyen, L. T. M. (2025). The impact of foreign direct investment on infrastructure development. Journal of Economic Studies, 52(7), 1226-1243. https://doi.org/10.1108/JES-12-2023-0688
23. Minárik, M., & Čiderová, D. (2021). The new “global”: The role of cargo maritime transport of goods with focus on the transportation corridor between Southeast Asia and Northwestern Europe. SHS Web of Conferences, 92, 09010. https://doi.org/10.1051/shsconf/20219209010
24. Nurbasari, A., Machmud, A., Aribowo, A., & Megawati, S. (2026). Digital entrepreneurial marketing and industrial transformation: Evidence from food and beverage small and medium industries in Indonesia toward Sustainable Development Goals (SDGs). Indonesian Journal of Science and Technology, 11(2), 217-232. https://doi.org/10.17509/ijost.v11i2.89774
25. Osangthammanont, A. (2018). Financial role in supporting the Sustainable Development Goals in ASEAN. Journal of Science Ho Chi Minh City Open University, 8(3), 74–89.
26. Pesaran, M. H. (2007), A Simple Panel Unit Root in the Presence of Cross-Section Dependence, Journal of Applied Econometrics, 22, s.265-312.
27. Pesaran, H. M., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326. https://doi.org/10.1002/jae.616
28. Pesaran, H. M., & Shin, Y. (1999). An autoregressive distributed lag modelling approach to cointegration analysis. In S. Strom (Ed.), Econometrics and economic theory in the 20th century: The Ragnar Frisch Centennial Symposium (pp. 371–413). Cambridge University Press. https://doi.org/10.1017/CCOL521633230
29. Phillips, P. C., & Hansen, B. E. (1990). Statistical inference in instrumental variables regression with I(1) processes. The Review of Economic Studies, 57(1), 99–125. https://doi.org/10.2307/2297545
30. Sachs, J., Schmidt-Traub, G., Kroll, C., Lafortune, G., Fuller, G., & Woelm, F. (2019). Sustainable Development Report 2019. Bertelsmann Stiftung and Sustainable Development Solutions Network (SDSN).
31. Shaikh, S. S., Amin, N., Shabbir, M. S., & Song, H. (2025). Going green in ASEAN: Assessing the role of eco‐innovation, green energy, industrialization, and environmental taxes in achieving carbon neutrality. Sustainable Development, 33(3), 3596-3614. https://doi.org/10.1002/sd.3305
32. Sezgin, F. H. (2019). The Relationship Between Foreign Trade Volume And Economic Growth: Panel Data Analsis. Eurasian Econometrics, Statistics & Emprical Economics Journal, 14, 132-145. https://doi.org/10.17740/eas.stat.2019-V14-09
33. Sitompul, H., Saifi, M., Hutahayan, B., & Sunarti. (2024). Use of renewable energy to enhance firm performance: A systematic review. Sustainability, 16(21), 9157. https://doi.org/10.3390/su16219157
34. Soyres, F. de, & Gaillard, A. (2022). Global trade and GDP comovement. Journal of Economic Dynamics and Control, 138, 104353. https://doi.org/10.1016/j.jedc.2022.104353
35. United Nations (UN). (2015). Transforming our world: The 2030 agenda for sustainable development. Retrieved December 10, 2024, from https://sdgs.un.org/2030agenda
36. United Nations. (2024). The Sustainable Development Goals Report 2024. Retrieved December 10, 2024, from https://unstats.un.org/sdgs/report/2024
37. United Nations Conference on Trade and Development (UNCTAD). (2019). Review of maritime transport 2019. United Nations Publications. Retrieved December 10, 2024, from https://unctad.org/webflyer/review-maritime-transport-2019
38. United Nations Conference on Trade and Development (UNCTAD). (2024). Review of maritime transport 2024. United Nations Publications. Retrieved December 10, 2024, from https://unctad.org/webflyer/review-maritime-transport-2024
39. Ustalar, S. A., & Şanlısoy, S. (2016). The impact of foreign direct investment on innovation performance: Evidence from a nonlinear ARDL approach. İzmir İktisat Dergisi, 35(1), 77–89. https://doi.org/10.24988/ije.202035106
40. Wang, T. C., Wang, C. N., & Nguyen, X. H. (2016). Evaluating the influence of criteria to attract foreign direct investment (FDI) to develop supporting industries in Vietnam by utilizing fuzzy preference relations. Sustainability, 8(5), 447. https://doi.org/10.3390/su8050447
41. World Bank. (2024). World development indicators. Retrieved December 14, 2024, from https://databank.worldbank.org/source/world-development-indicators