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THE IMPACT OF GREEN INNOVATION ON CO2 EMISSION AFTER THE 2005 WORLD SUMMIT ON SOCIAL DEVELOPMENT: THE SYSTEM GMM METHOD

Yıl 2026, Cilt: 22 Sayı: 1, 156 - 177, 26.03.2026
https://doi.org/10.17130/ijmeb.1626328
https://izlik.org/JA28LC36YY

Öz

Economic growth is one of the most important factors in increasing economic prosperity.. Therefore, it becomes very important for countries. However, economic growth, especially driven by industrial production, starts to pollute nature and causes climate change. In 2005, the United Nations led the World Summit on Social Development to address climate change. The summit focused on reducing carbon emissions, using renewable energy and promoting investments in green innovation. In literature, there isn’t agreement on the relationship between technological development and CO2 emissions. So, the quality of technological development becomes important. As a result, the importance of green innovation increases. The aim of this study is to examine the effect of green innovation on reducing CO2 emissions, which is one of the sustainable development goals that emerged after the 2005 Social Development. This study analyzes the effect of green innovation on CO2 emissions for 32 countries from 2005 to 2020 by using the System GMM method. The results show that, as GDP increases, CO2 emissions also increase. However, as green innovation and renewable energy consumption increase, CO2 emissions decrease. These findings suggest that countries should support green innovations to enhance their positive environmental effects and minimize ecological damage.

Kaynakça

  • Abd Rahman, N. H., Ismail, S., Abd Samad, K., Handayani, B. D., Rahman, Y. A. & Sakitri, W. (2022). The effects of regulatory performance on the debt–growth relationship: Cases of upper-middle-income economies. Economies, 10(10), 235, 1-14. https://doi.org/10.3390/economies10100235
  • Adebayo, T. S. & Kirikkaleli, D. (2021). Impact of renewable energy consumption, globalization, and technological innovation on environmental degradation in Japan: Application of wavelet tools. Environment, Development and Sustainability, 23(11), 16057-16082. https://doi.org/10.1007/s10668-021-01322-2
  • Ağazade, S., Karakaya, A., & Perçin, S. (2017). Türk imalat sanayinde risk ve performans arasındaki ilişki. Dokuz Eylül Üniversitesi İktisadi İdari Bilimler Fakültesi Dergisi, 32(1), 29-56. https://doi.org/10.24988/deuiibf.2017321538
  • Akbakay, Z. (2023). Küreselleşme, enflasyon ve para politikasının etkinliği. Ordu Üniversitesi Sosyal Bilimler Enstitüsü Sosyal Bilimler Araştırmaları Dergisi, 13(3), 2551-2578. https://doi.org/10.48146/odusobiad.1170277
  • Akyol, M. & Mete, E. (2021). Çevresel teknolojik inovasyonların CO2 emisyonu üzerindeki etkisi: OECD ülkeleri örneği. İstanbul İktisat Dergisi, 71(2), 569-590. https://doi.org/10.26650/ISTJECON2021-935480
  • Alam, M. B. & Hossain, M. S. (2024). Çin’in ekonomik büyümesi, yenilenebilir enerji kullanımı ve CO2 emisyonlarına ilişkin araştırma ve geliştirme arasındaki bağlantıları araştırmak: Bir ARDL sınır testi yaklaşımı. Technological Forecasting and Social Change, 201, 123220. https://doi.org/10.1016/j.techfore.2024.123220
  • Anderson, T. W. & Hsiao, C. (1981). Estimation of dynamic models with error components. Journal of the American Statistical Association, 76(375), 598- 606.
  • Anderson, T. W. & Hsiao, C. (1982). Formulation and estimation of dynamic models using panel data. Journal of Econometrics, 18, 47-82.
  • Arellano, M. & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58(2), 277-297. https://doi.org/10.2307/2297968
  • Arellano, M. & Bover, O. (1995). Another look at the instrumental variables estimation of error components models’. Journal of Econometrics, 68(1), 29–51. https://doi.org/10.1016/0304-4076(94)01642-D
  • Arı, A. (2024). Gelişmekte olan ülkeler için dış borçların belirleyicileri: işçi dövizleri etkisi. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 67, 55-60. https://doi.org/10.18070/erciyesiibd.1291328
  • Ateş, E. & Şanlısoy, S. (2022). Küresel değer zincirinin belirleyenleri. Optimum Ekonomi ve Yönetim Bilimleri Dergisi, 9(2), 137-152.
  • Balsalobre-Lorente, D., Shahbaz, M., Roubaud, D. & Farhani, S. (2018). How economic growth, renewable electricity and natural resources contribute to CO2 emissions?. Energy Policy, 113, 356-367. https://doi.org/10.1016/j.enpol.2017.10.050
  • Baltagi, B. H. (2005), Econometric analysis of panel data. (3. Baskı). England: John Wiley & Sons, Ltd.
  • Baskaran, D., Saravanan, P., Nagarajan, L. & Byun, H. (2024). An overview of technologies for capturing, storing, and utilizing carbon dioxide: Technology readiness, large-scale demonstration, and cost, Chemical Engineering Journal, 491, 1-27, https://doi.org/10.1016/j.cej.2024.151998.
  • Blundell, R. & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87, 115–143. https://doi.org/10.1016/S0304-4076(98)00009-8Get rights and content
  • Bond, S. (2002). Dynamic panel data models: A guide to micro data methods and practice. CEMMAP Working Paper, No: Cwp0209, 1-36.
  • Bond, S., Hoeffler A. & Temple, J. (2001). GMM estimation of empirical growth models. Economics Papers 2001-W21, Economics Group, Nuffield College, University of Oxford.
  • Chen, Y. S., Lai, S. B. & Wen, C. T. (2006). The Influence of Green Innovation Performance on Corporate Advantage in Taiwan. Journal of Business Ethics, 67(4), 331-339.
  • Cheng, N. ve Bang, Y. (2021). A comment on the practice of the Arellano-Bond/Blundell-Bond Generalized Method of Moments estimator in IS research. Communications of the Association for Information Systems, 48(38),423-442. https://doi.org/10.17705/1CAIS.04838
  • Çuhadar, P. (2020). Gelişmekte olan ülkelerde politik ekonomi, iklim değişikliği ve tarım ilişkisinin dinamik panel veri analizi. Tarım Ekonomisi Dergisi, 26(1), 41-50. https://doi.org/10.24181/tarekoder.697179
  • Dinda, S. (2018). Production technology and carbon emission: Long-run relation with short-run dynamics. Journal of Applied Economics, 21(1), 106–121. https://doi.org/10.1080/15140326.2018.1526871.
  • Dong, F., Zhu, J., Li, Y., Chen, Y., Gao, Y., Hu, M., Qin, C. Ve Sun, J. (2022). How green technology innovation affects carbon emission efficiency: Evidence from developed countries proposing carbon neutrality targets. Environ Sci Pollut Res, 29, 35780–35799. https://doi.org/10.1007/s11356-022-18581-9.
  • Dong, R., Wang, S., & Baloch, M. A. (2024). Do green finance and green innovation foster environmental sustainability in China? Evidence from a quantile autoregressive-distributed lag model. Environment, Development and Sustainability, 26(10), 25995-26017. https://doi.org/10.1007/s10668-023-03715-x
  • Dökmen, G. (2012). Yolsuzlukların vergi gelirleri üzerindeki etkisi: Dinamik panel veri analizi. Doğuş Üniversitesi Dergisi, 13(1), 41-51.
  • Dörtok, A. & Aksoy, A. (2018). Türkiye buğday sektörünün eşanlı model yöntemiyle tahmini. KSÜ Tarım ve Doğa Dergisi. 21(4), 580-586.
  • Duch, R. (2008). Longitudinal/panel data analysis: Lecture 3 and 4, Retrieved from: http://www.raymond.duch@nu_eld.ox.ac.uk raymondduch.com/class/paneldata, Erişim Tarihi: 21.01.2025
  • Fatima, N., Zheng, Y., & Guohua, N. (2022). Globalization, institutional quality, economic growth and CO2 emission in OECD countries: An analysis with GMM and quantile regression. Frontiers in Environmental Science, 10(2), 967050. https://doi.org/10.3389/FENVS.2022.967050/ENDNOTE
  • Fei, J., Wang, Y., Yang, Y., Chen, S., & Zhi, Q. (2016). Towards eco-city: The role of green innovation. Energy Procedia, 104, 165-170.
  • Ganda F. (2019). The impact of innovation and technology investments on carbon emissions in selected organisation for economic Co-operation and development countries. Journal Of Clean Production, 217, 469–483. https://doi.org/10.1016/j.jclepro.2019.01.235
  • Gross, R., Leach, M., & Bauen, A. (2003). Progress in renewable energy. Environment International, 29(1), 105-122. https://doi.org/10.1016/S0160-4120(02)00130-7
  • Hansen, L. P. (1982). Large sample properties of generalized method of moments estimators. Econometrica, 50(4), 1029–1054. https://doi.org/10.2307/1912775
  • Hsiao, C. (2006). Panel data analysis – advantages and challenge. IEPR Working Paper, 06.49
  • Hüsnüoğlu, N. (2017). Dijital bölünmeyi etkileyen faktörler üzerine bir uygulama: Panel veri GMM analizleri. Doğuş Üniversitesi Dergisi. 18(2), 19-34.
  • Işık, C., Bulut, U., Ongan, S., Islam, H. & Irfan, M. (2024). Ekonomik büyümenin, yenilenebilir enerjinin, internet kullanımının ve mineral kiralarının CO2 emisyonlarını nasıl etkilediğinin incelenmesi: 27 OECD ülkesi için bir panel kantil regresyon analizi. Resources Policy, 92, 105025. https://doi.org/10.1016/j.resourpol.2024.105025
  • Jóźwik, B., Topcu, B. A., & Doğan, M. (2024). The impact of nuclear energy consumption, green technological innovation, and trade openness on the sustainable environment in the USA. Energies, 17(15), Article 15. https://doi.org/10.3390/en17153810
  • Karaaslan, A. & Çamkaya, S. (2022). CO2 emisyonları, ekonomik büyüme, sağlık harcamaları ve yenilenebilir ve yenilenemez enerji tüketimi arasındaki ilişki: Türkiye’den ampirik kanıtlar. Renewable Energy, 190, 457-466. https://doi.org/10.1016/j.renene.2022.03.139
  • Karedla, Y., Mishra, R. & Patel, N. (2021). The impact of economic growth, trade openness and manufacturing on CO2 emissions in India: An autoregressive distributive lag (ARDL) bounds test approach. Journal of Economics, Finance and Administrative Science, 26(52), 376-389. https://doi.org/10.1108/JEFAS-05-2021-0057
  • Khan, M. & Jalil, A. (2020). Determinants of interest margin in Pakistan: A panel data analysis. Economies, 8(25), 1-13. doi:10.3390/economies8020025
  • Khan, S., Khan, M. K., & Muhammad, B. (2021). Impact of financial development and energy consumption on environmental degradation in 184 countries using a dynamic panel model. Environmental Science and Pollution Research, 28(8), 9542–9557. https://doi.org/10.1007/S11356-020-11239-4
  • Khan, Z., Ali, M., Kirikkaleli, D., Wahab, S. & Jiao, Z. (2020). The impact of technological innovation and public‐private partnership investment on sustainable environment in China: Consumption‐based carbon emissions analysis. Sustainable Development, John Wiley & Sons, Ltd., 28(5), 1317-1330, September.
  • Khattak, S. I., & Ahmad, M. (2022). The cyclical impact of innovation in green and sustainable technologies on carbon dioxide emissions in OECD economies. Environmental Science and Pollution Research, 29(22), 33809-33825. https://doi.org/10.1007/s11356-022-18577-5
  • Kılınç, N. Ş. & Kılınç, E. C. (2024). Yeşil inovasyonun enerji verimliliğine etkisi üzerine bir panel veri analizi. Uluslararası Ekonomi ve Yenilik Dergisi, 10 (1), 1-22.
  • Kuang, H., Akmal, Z., & Li, F. (2022). Measuring the effects of green technology innovations and renewable energy investment for reducing carbon emissions in China. Renewable Energy, 197, 1-10. https://doi.org/10.1016/j.renene.2022.06.091
  • Küçük Karaman, S. (2023). İthalat bağımlılık oranının hesaplanması ve Türkiye’de sektörel ithalat bağımlılık oranını etkileyen faktörlerin panel veri analizi. İktisadi İdari ve Siyasal Araştırmalar Dergisi, 8(21), 686-711. https://doi.org/10.25204/iktisad.1225874
  • Li, B., Chang, J., Guo, J., Zhou, C., Ren, X., & Liu, J. (2023). Do green innovation, I.C.T., and economic complexity matter for sustainable development of B.R.I. economies: Moderating role of higher education. Environmental Science and Pollution Research, 30(20), 57833-57849. https://doi.org/10.1007/s11356-023-26405-7
  • Li, Y., Zhang, C., Li, S. & Usman, A. (2022). Energy efficiency and green innovation and its asymmetric impact on CO2 emission in China: a new perspective. Environ Sci Pollut Res 29, 47810–47817 https://doi.org/10.1007/s11356-022-19161-7.
  • Li, Y., Zhang, C., Li, S., & Usman, A. (2022). Energy efficiency and green innovation and its asymmetric impact on CO2 emission in China: A new perspective. Environmental Science and Pollution Research, 29(31), 47810-47817. https://doi.org/10.1007/s11356-022-19161-7
  • Lin, B., & Ma, R. (2022). Green technology innovations, urban innovation environment and CO2 emission reduction in China: Fresh evidence from a partially linear functional-coefficient panel model. Technological Forecasting and Social Change, 176, 121434. https://doi.org/10.1016/j.techfore.2021.121434
  • Lin, B., & Ullah, S. (2023). Towards the goal of going green: Do green growth and innovation matter for environmental sustainability in Pakistan. Energy, 285, 129263. https://doi.org/10.1016/j.energy.2023.129263
  • Liu, F. & Sun, Y. T. (2008). Effect of innovation, industrial change on energy consumption. China Population, Resources and Environment, 18(3), 108-113.
  • Liu, J., & Kang, S. J. (2024). The Impact of Green Innovation on CO2 Emissions in China: Evidence from Spatial Regression Model. International Economic Journal, 38(3), 446-470. https://doi.org/10.1080/10168737.2024.2378460
  • Liu, L., Wu, H., Hafeez, M., Albaity, M. S. A., & Ullah, S. (2023). Carbon neutrality through supply chain performance: Does green innovation matter in Asia? Economic Research-Ekonomska Istraživanja, 36(3), 2149588. https://doi.org/10.1080/1331677X.2022.2149588
  • Liu, Z., Sun, T., Yu, Y., Ke, P., Deng, Z., Lu, C., Huo, D. & Ding, X. (2022). Near-Real-Time Carbon Emission Accounting Technology Toward Carbon Neutrality, Engineering, 14, 44-51, https://doi.org/10.1016/j.eng.2021.12.019.
  • Long, X., Luo, Y., Wu, C. & Zhang, J. (2018). The influencing factors of CO2 emission intensity of Chinese agriculture from 1997 to 2014. Environmental Science and Pollution Research, 25, 13093–13101
  • Meng, X., Li, T., Ahmad, M., Qiao, G., & Bai, Y. (2022). Capital formation, green ınnovation, renewable energy consumption and environmental quality: Do environmental regulations matter? International Journal of Environmental Research and Public Health, 19(20), Article 20. https://doi.org/10.3390/ijerph192013562
  • Muhammad, B. & Khan, S. (2019). Effect of bilateral FDI, energy consumption, CO2 emission and capital on economic growth of Asia countries. Energy Reports, 5, 1305-1315.
  • Obobisa, E. S., Chen, H., & Mensah, I. A. (2022). The impact of green technological innovation and institutional quality on CO2 emissions in African countries. Technological Forecasting and Social Change, 180, 121670. https://doi.org/10.1016/j.techfore.2022.121670
  • OECD (2016). OECD Science, Technology and Innovation Outlook 2016, OECD Publishing, Paris, https://doi.org/10.1787/sti_in_outlook-2016-en Erişim Tarihi: 24.05.2024
  • Özcan, B. & Arı, A. (2010). Doğrudan yabancı yatırımların belirleyicileri üzerine bir analiz: OECD örneği. Istanbul University Econometrics and Statistics e-Journal, 12, 65-88. https://dergipark.org.tr/en/pub/iuekois/issue/8979/112027
  • Özer, A .& Özer, N. (2014). Kaynak temelli yaklaşım ve paydaş yaklaşımı açısından entelektüel sermayenin BIST’deki çokuluslu işletmelerin finansal performansına etkisi. BDDK Bankacılık ve Finansal Piyasalar Dergisi, 8(2),119-149.
  • Patel, N. & Mehta, D. (2023). The asymmetry effect of industrialization, financial development and globalization on CO2 emissions in India. International Journal of Thermofluids, 20, 100397. https://doi.org/10.1016/j.ijft.2023.100397
  • Raihan, A., Hasan, M. A., Voumik, L. C., Pattak, D. C., Akter, S. & Ridwan, M. (2024). Vietnam’da sürdürülebilirlik: Ekonomik büyüme, enerji, inovasyon, tarım ve ormanların CO2 emisyonları üzerindeki etkisinin incelenmesi. World Development Sustainability, 4, 100164. https://doi.org/10.1016/j.wds.2024.100164
  • Raza, M. Y. & Tang, S. (2024). Pakistan’da nükleer enerji, ekonomik büyüme ve CO2 emisyonları: Genişletilmiş STRIPAT modelinden elde edilen kanıtlar. Nuclear Engineering and Technology, 56(7), 2480-2488. https://doi.org/10.1016/j.net.2024.02.006
  • Roodman, D. (2009). How to do xtabond2: an introduction to difference and system GMM in Stata. The Stata Journal, 9(1), 86-136. https://doi.org/10.1177/1536867X0900900106
  • Sahoo, M., Sethi, N., & Angel Esquivias Padilla, M. (2023). Unpacking the dynamics of information and communication technology, control of corruption and sustainability in green development in developing economies: New evidence. Renewable Energy, 216, 119088. https://doi.org/10.1016/j.renene.2023.119088
  • Sarkodie, S. A., & Owusu, P. A. (2021). Escalation effect of fossil-based CO2 emissions improves green energy innovation. Science of The Total Environment, 785, 147257. https://doi.org/10.1016/j.scitotenv.2021.147257
  • Sharif, A., Mehmood, U., & Tiwari, S. (2024). A step towards sustainable development: Role of green energy and environmental innovation. Environment, Development and Sustainability, 26(4), 9603-9624. https://doi.org/10.1007/s10668-023-03111-5
  • Solarin, S. A., Al-mulali, U. & Ozturk, I. (2018). Determinants of pollution and the role of the military sector: Evidence from a maximum likelihood approach with two structural breaks in the USA. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-018-3060-5
  • Soto, M. (2009). System GMM estimation with a small sample. Barcelona Economics Working Paper Series Working Paper, No. 395
  • Suproń, B., & Myszczyszyn, J. (2024). Exploring the dynamic relationships between agricultural production and environmental pollution: Evidence from a Gmm-sys model in the three seas initiative (3SI). Sustainability 2024, Vol. 16, Page 3748, 16(9), 3748. https://doi.org/10.3390/SU16093748
  • Tang, K., Chen, Q., Tan, W., & Wu Feng, Y. J. (2022). The ımpact of financial deepening on carbon reductions in China: Evidence from city- and enterprise-level data. International Journal of Environmental Research and Public Health, 19(18), 11355. https://doi.org/10.3390/ijerph191811355
  • Topal, M. H. & Hayaloğlu, P. (2017). Farklı gelişmişlik düzeylerinde kurumsal kalitenin çevre performansı üzerindeki etkisi: Ampirik bir analiz. Sosyoekonomi, 25, 189-212. https://doi.org/10.17233/sosyoekonomi.273969
  • Umar, M., & Safi, A. (2023). Do green finance and innovation matter for environmental protection? A case of OECD economies. Energy Economics, 119, 106560. https://doi.org/10.1016/j.eneco.2023.106560
  • Wang, Z., Yang, Z., Zhang, Y. & Yin, J. (2012). Energy technology patents – CO2 emissions nexus: An empirical analysis from China. Energy Polich, 42, 248–260. https://doi.org/10.1016/j.enpol.2011.11.082
  • Wooldridge, J. M. (2002). Two-way fixed effects, the two-way mundlak regression, and difference-in-differences estimators. ERN: Estimation (Topic).
  • Yii, K. J. & Geetha, C. (2017). The nexus between technology innovation and CO2 emissions in Malaysia: Evidence from granger causality test. Energy Procedia, 105, 3118–3124.
  • 2005 World Summit Outcome, (2005). Resolution adopted by the General Assembly on 16 September 2005, United Nations, A/RES/60/1.

2005 DÜNYA SOSYAL GELİŞME ZİRVESİ SONRASI YEŞİL İNOVASYONUN CO2 EMİSYONUNA ETKİSİ: SİSTEM GMM YÖNTEMİ

Yıl 2026, Cilt: 22 Sayı: 1, 156 - 177, 26.03.2026
https://doi.org/10.17130/ijmeb.1626328
https://izlik.org/JA28LC36YY

Öz

Ekonomik büyüme ekonomik refahı arttıran en önemli faktördür. Böylece ülkeler için büyüme oldukça önemli hale geldi. Ancak özellikle sanayi üretimine bağlı olarak artan ekonomik büyüme, doğayı kirletmeye başlayarak iklim değişikliğine neden olmaktadır. İklim değişikliği ile mücadele kapsamında Bunun üzerine Birleşmiş Milletler öncülüğünde 2005 yılında Dünya Sosyal Gelişme Zirvesi gerçekleştirilmiştir. Bu zirvede sürdürülebilir kalkınma açısından karbon emisyonlarının azaltılması, yenilenebilir enerji kullanımı ve yeşil inovasyon yatırımlarının teşvik edilmesi üzerinde durulmuştur. İktisat literatüründe teknolojik gelişim ile CO2 emisyonu arasındaki ilişkiye yönelik görüş birliği yoktur. Bu açıdan teknolojik gelişmeden ziyade bu gelişmenin niteliği öne çıkmaktadır. Böylece yeşil inovasyonun önemi artmaktadır. Çalışmanın amacı, 2005 yılında gerçekleşen Dünya Sosyal Gelişme Zirvesi sonrasında ortaya çıkan sürdürülebilir kalkınma hedeflerinden olan CO2 emisyonun azaltılmasına yönelik yeşil inovasyonun etkisini incelemektedir. Çalışmada, 2005-2020 dönemi ele alınarak 32 ülke için yeşil inovasyonun CO2 emisyonuna etkisi Sistem GMM yöntemi kullanılarak incelenmiştir. Analiz sonuçlarına göre kişi başına düşen GSYİH arttıkça CO2 emisyonu artmakta buna karşın yeşil inovasyon ve yenilebilir enerji tüketimi arttıkça CO2 emisyonu azalmaktadır. Analiz sonuçlarının gösterdiği üzere, yeşil inovasyonların çevre üzerindeki olumlu etkilerini arttırmak ve tahribatı minimum seviyelere indirmek için dünya ülkelerinin yeşil inovasyonları desteklemesi gerekmektedir.

Kaynakça

  • Abd Rahman, N. H., Ismail, S., Abd Samad, K., Handayani, B. D., Rahman, Y. A. & Sakitri, W. (2022). The effects of regulatory performance on the debt–growth relationship: Cases of upper-middle-income economies. Economies, 10(10), 235, 1-14. https://doi.org/10.3390/economies10100235
  • Adebayo, T. S. & Kirikkaleli, D. (2021). Impact of renewable energy consumption, globalization, and technological innovation on environmental degradation in Japan: Application of wavelet tools. Environment, Development and Sustainability, 23(11), 16057-16082. https://doi.org/10.1007/s10668-021-01322-2
  • Ağazade, S., Karakaya, A., & Perçin, S. (2017). Türk imalat sanayinde risk ve performans arasındaki ilişki. Dokuz Eylül Üniversitesi İktisadi İdari Bilimler Fakültesi Dergisi, 32(1), 29-56. https://doi.org/10.24988/deuiibf.2017321538
  • Akbakay, Z. (2023). Küreselleşme, enflasyon ve para politikasının etkinliği. Ordu Üniversitesi Sosyal Bilimler Enstitüsü Sosyal Bilimler Araştırmaları Dergisi, 13(3), 2551-2578. https://doi.org/10.48146/odusobiad.1170277
  • Akyol, M. & Mete, E. (2021). Çevresel teknolojik inovasyonların CO2 emisyonu üzerindeki etkisi: OECD ülkeleri örneği. İstanbul İktisat Dergisi, 71(2), 569-590. https://doi.org/10.26650/ISTJECON2021-935480
  • Alam, M. B. & Hossain, M. S. (2024). Çin’in ekonomik büyümesi, yenilenebilir enerji kullanımı ve CO2 emisyonlarına ilişkin araştırma ve geliştirme arasındaki bağlantıları araştırmak: Bir ARDL sınır testi yaklaşımı. Technological Forecasting and Social Change, 201, 123220. https://doi.org/10.1016/j.techfore.2024.123220
  • Anderson, T. W. & Hsiao, C. (1981). Estimation of dynamic models with error components. Journal of the American Statistical Association, 76(375), 598- 606.
  • Anderson, T. W. & Hsiao, C. (1982). Formulation and estimation of dynamic models using panel data. Journal of Econometrics, 18, 47-82.
  • Arellano, M. & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58(2), 277-297. https://doi.org/10.2307/2297968
  • Arellano, M. & Bover, O. (1995). Another look at the instrumental variables estimation of error components models’. Journal of Econometrics, 68(1), 29–51. https://doi.org/10.1016/0304-4076(94)01642-D
  • Arı, A. (2024). Gelişmekte olan ülkeler için dış borçların belirleyicileri: işçi dövizleri etkisi. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 67, 55-60. https://doi.org/10.18070/erciyesiibd.1291328
  • Ateş, E. & Şanlısoy, S. (2022). Küresel değer zincirinin belirleyenleri. Optimum Ekonomi ve Yönetim Bilimleri Dergisi, 9(2), 137-152.
  • Balsalobre-Lorente, D., Shahbaz, M., Roubaud, D. & Farhani, S. (2018). How economic growth, renewable electricity and natural resources contribute to CO2 emissions?. Energy Policy, 113, 356-367. https://doi.org/10.1016/j.enpol.2017.10.050
  • Baltagi, B. H. (2005), Econometric analysis of panel data. (3. Baskı). England: John Wiley & Sons, Ltd.
  • Baskaran, D., Saravanan, P., Nagarajan, L. & Byun, H. (2024). An overview of technologies for capturing, storing, and utilizing carbon dioxide: Technology readiness, large-scale demonstration, and cost, Chemical Engineering Journal, 491, 1-27, https://doi.org/10.1016/j.cej.2024.151998.
  • Blundell, R. & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87, 115–143. https://doi.org/10.1016/S0304-4076(98)00009-8Get rights and content
  • Bond, S. (2002). Dynamic panel data models: A guide to micro data methods and practice. CEMMAP Working Paper, No: Cwp0209, 1-36.
  • Bond, S., Hoeffler A. & Temple, J. (2001). GMM estimation of empirical growth models. Economics Papers 2001-W21, Economics Group, Nuffield College, University of Oxford.
  • Chen, Y. S., Lai, S. B. & Wen, C. T. (2006). The Influence of Green Innovation Performance on Corporate Advantage in Taiwan. Journal of Business Ethics, 67(4), 331-339.
  • Cheng, N. ve Bang, Y. (2021). A comment on the practice of the Arellano-Bond/Blundell-Bond Generalized Method of Moments estimator in IS research. Communications of the Association for Information Systems, 48(38),423-442. https://doi.org/10.17705/1CAIS.04838
  • Çuhadar, P. (2020). Gelişmekte olan ülkelerde politik ekonomi, iklim değişikliği ve tarım ilişkisinin dinamik panel veri analizi. Tarım Ekonomisi Dergisi, 26(1), 41-50. https://doi.org/10.24181/tarekoder.697179
  • Dinda, S. (2018). Production technology and carbon emission: Long-run relation with short-run dynamics. Journal of Applied Economics, 21(1), 106–121. https://doi.org/10.1080/15140326.2018.1526871.
  • Dong, F., Zhu, J., Li, Y., Chen, Y., Gao, Y., Hu, M., Qin, C. Ve Sun, J. (2022). How green technology innovation affects carbon emission efficiency: Evidence from developed countries proposing carbon neutrality targets. Environ Sci Pollut Res, 29, 35780–35799. https://doi.org/10.1007/s11356-022-18581-9.
  • Dong, R., Wang, S., & Baloch, M. A. (2024). Do green finance and green innovation foster environmental sustainability in China? Evidence from a quantile autoregressive-distributed lag model. Environment, Development and Sustainability, 26(10), 25995-26017. https://doi.org/10.1007/s10668-023-03715-x
  • Dökmen, G. (2012). Yolsuzlukların vergi gelirleri üzerindeki etkisi: Dinamik panel veri analizi. Doğuş Üniversitesi Dergisi, 13(1), 41-51.
  • Dörtok, A. & Aksoy, A. (2018). Türkiye buğday sektörünün eşanlı model yöntemiyle tahmini. KSÜ Tarım ve Doğa Dergisi. 21(4), 580-586.
  • Duch, R. (2008). Longitudinal/panel data analysis: Lecture 3 and 4, Retrieved from: http://www.raymond.duch@nu_eld.ox.ac.uk raymondduch.com/class/paneldata, Erişim Tarihi: 21.01.2025
  • Fatima, N., Zheng, Y., & Guohua, N. (2022). Globalization, institutional quality, economic growth and CO2 emission in OECD countries: An analysis with GMM and quantile regression. Frontiers in Environmental Science, 10(2), 967050. https://doi.org/10.3389/FENVS.2022.967050/ENDNOTE
  • Fei, J., Wang, Y., Yang, Y., Chen, S., & Zhi, Q. (2016). Towards eco-city: The role of green innovation. Energy Procedia, 104, 165-170.
  • Ganda F. (2019). The impact of innovation and technology investments on carbon emissions in selected organisation for economic Co-operation and development countries. Journal Of Clean Production, 217, 469–483. https://doi.org/10.1016/j.jclepro.2019.01.235
  • Gross, R., Leach, M., & Bauen, A. (2003). Progress in renewable energy. Environment International, 29(1), 105-122. https://doi.org/10.1016/S0160-4120(02)00130-7
  • Hansen, L. P. (1982). Large sample properties of generalized method of moments estimators. Econometrica, 50(4), 1029–1054. https://doi.org/10.2307/1912775
  • Hsiao, C. (2006). Panel data analysis – advantages and challenge. IEPR Working Paper, 06.49
  • Hüsnüoğlu, N. (2017). Dijital bölünmeyi etkileyen faktörler üzerine bir uygulama: Panel veri GMM analizleri. Doğuş Üniversitesi Dergisi. 18(2), 19-34.
  • Işık, C., Bulut, U., Ongan, S., Islam, H. & Irfan, M. (2024). Ekonomik büyümenin, yenilenebilir enerjinin, internet kullanımının ve mineral kiralarının CO2 emisyonlarını nasıl etkilediğinin incelenmesi: 27 OECD ülkesi için bir panel kantil regresyon analizi. Resources Policy, 92, 105025. https://doi.org/10.1016/j.resourpol.2024.105025
  • Jóźwik, B., Topcu, B. A., & Doğan, M. (2024). The impact of nuclear energy consumption, green technological innovation, and trade openness on the sustainable environment in the USA. Energies, 17(15), Article 15. https://doi.org/10.3390/en17153810
  • Karaaslan, A. & Çamkaya, S. (2022). CO2 emisyonları, ekonomik büyüme, sağlık harcamaları ve yenilenebilir ve yenilenemez enerji tüketimi arasındaki ilişki: Türkiye’den ampirik kanıtlar. Renewable Energy, 190, 457-466. https://doi.org/10.1016/j.renene.2022.03.139
  • Karedla, Y., Mishra, R. & Patel, N. (2021). The impact of economic growth, trade openness and manufacturing on CO2 emissions in India: An autoregressive distributive lag (ARDL) bounds test approach. Journal of Economics, Finance and Administrative Science, 26(52), 376-389. https://doi.org/10.1108/JEFAS-05-2021-0057
  • Khan, M. & Jalil, A. (2020). Determinants of interest margin in Pakistan: A panel data analysis. Economies, 8(25), 1-13. doi:10.3390/economies8020025
  • Khan, S., Khan, M. K., & Muhammad, B. (2021). Impact of financial development and energy consumption on environmental degradation in 184 countries using a dynamic panel model. Environmental Science and Pollution Research, 28(8), 9542–9557. https://doi.org/10.1007/S11356-020-11239-4
  • Khan, Z., Ali, M., Kirikkaleli, D., Wahab, S. & Jiao, Z. (2020). The impact of technological innovation and public‐private partnership investment on sustainable environment in China: Consumption‐based carbon emissions analysis. Sustainable Development, John Wiley & Sons, Ltd., 28(5), 1317-1330, September.
  • Khattak, S. I., & Ahmad, M. (2022). The cyclical impact of innovation in green and sustainable technologies on carbon dioxide emissions in OECD economies. Environmental Science and Pollution Research, 29(22), 33809-33825. https://doi.org/10.1007/s11356-022-18577-5
  • Kılınç, N. Ş. & Kılınç, E. C. (2024). Yeşil inovasyonun enerji verimliliğine etkisi üzerine bir panel veri analizi. Uluslararası Ekonomi ve Yenilik Dergisi, 10 (1), 1-22.
  • Kuang, H., Akmal, Z., & Li, F. (2022). Measuring the effects of green technology innovations and renewable energy investment for reducing carbon emissions in China. Renewable Energy, 197, 1-10. https://doi.org/10.1016/j.renene.2022.06.091
  • Küçük Karaman, S. (2023). İthalat bağımlılık oranının hesaplanması ve Türkiye’de sektörel ithalat bağımlılık oranını etkileyen faktörlerin panel veri analizi. İktisadi İdari ve Siyasal Araştırmalar Dergisi, 8(21), 686-711. https://doi.org/10.25204/iktisad.1225874
  • Li, B., Chang, J., Guo, J., Zhou, C., Ren, X., & Liu, J. (2023). Do green innovation, I.C.T., and economic complexity matter for sustainable development of B.R.I. economies: Moderating role of higher education. Environmental Science and Pollution Research, 30(20), 57833-57849. https://doi.org/10.1007/s11356-023-26405-7
  • Li, Y., Zhang, C., Li, S. & Usman, A. (2022). Energy efficiency and green innovation and its asymmetric impact on CO2 emission in China: a new perspective. Environ Sci Pollut Res 29, 47810–47817 https://doi.org/10.1007/s11356-022-19161-7.
  • Li, Y., Zhang, C., Li, S., & Usman, A. (2022). Energy efficiency and green innovation and its asymmetric impact on CO2 emission in China: A new perspective. Environmental Science and Pollution Research, 29(31), 47810-47817. https://doi.org/10.1007/s11356-022-19161-7
  • Lin, B., & Ma, R. (2022). Green technology innovations, urban innovation environment and CO2 emission reduction in China: Fresh evidence from a partially linear functional-coefficient panel model. Technological Forecasting and Social Change, 176, 121434. https://doi.org/10.1016/j.techfore.2021.121434
  • Lin, B., & Ullah, S. (2023). Towards the goal of going green: Do green growth and innovation matter for environmental sustainability in Pakistan. Energy, 285, 129263. https://doi.org/10.1016/j.energy.2023.129263
  • Liu, F. & Sun, Y. T. (2008). Effect of innovation, industrial change on energy consumption. China Population, Resources and Environment, 18(3), 108-113.
  • Liu, J., & Kang, S. J. (2024). The Impact of Green Innovation on CO2 Emissions in China: Evidence from Spatial Regression Model. International Economic Journal, 38(3), 446-470. https://doi.org/10.1080/10168737.2024.2378460
  • Liu, L., Wu, H., Hafeez, M., Albaity, M. S. A., & Ullah, S. (2023). Carbon neutrality through supply chain performance: Does green innovation matter in Asia? Economic Research-Ekonomska Istraživanja, 36(3), 2149588. https://doi.org/10.1080/1331677X.2022.2149588
  • Liu, Z., Sun, T., Yu, Y., Ke, P., Deng, Z., Lu, C., Huo, D. & Ding, X. (2022). Near-Real-Time Carbon Emission Accounting Technology Toward Carbon Neutrality, Engineering, 14, 44-51, https://doi.org/10.1016/j.eng.2021.12.019.
  • Long, X., Luo, Y., Wu, C. & Zhang, J. (2018). The influencing factors of CO2 emission intensity of Chinese agriculture from 1997 to 2014. Environmental Science and Pollution Research, 25, 13093–13101
  • Meng, X., Li, T., Ahmad, M., Qiao, G., & Bai, Y. (2022). Capital formation, green ınnovation, renewable energy consumption and environmental quality: Do environmental regulations matter? International Journal of Environmental Research and Public Health, 19(20), Article 20. https://doi.org/10.3390/ijerph192013562
  • Muhammad, B. & Khan, S. (2019). Effect of bilateral FDI, energy consumption, CO2 emission and capital on economic growth of Asia countries. Energy Reports, 5, 1305-1315.
  • Obobisa, E. S., Chen, H., & Mensah, I. A. (2022). The impact of green technological innovation and institutional quality on CO2 emissions in African countries. Technological Forecasting and Social Change, 180, 121670. https://doi.org/10.1016/j.techfore.2022.121670
  • OECD (2016). OECD Science, Technology and Innovation Outlook 2016, OECD Publishing, Paris, https://doi.org/10.1787/sti_in_outlook-2016-en Erişim Tarihi: 24.05.2024
  • Özcan, B. & Arı, A. (2010). Doğrudan yabancı yatırımların belirleyicileri üzerine bir analiz: OECD örneği. Istanbul University Econometrics and Statistics e-Journal, 12, 65-88. https://dergipark.org.tr/en/pub/iuekois/issue/8979/112027
  • Özer, A .& Özer, N. (2014). Kaynak temelli yaklaşım ve paydaş yaklaşımı açısından entelektüel sermayenin BIST’deki çokuluslu işletmelerin finansal performansına etkisi. BDDK Bankacılık ve Finansal Piyasalar Dergisi, 8(2),119-149.
  • Patel, N. & Mehta, D. (2023). The asymmetry effect of industrialization, financial development and globalization on CO2 emissions in India. International Journal of Thermofluids, 20, 100397. https://doi.org/10.1016/j.ijft.2023.100397
  • Raihan, A., Hasan, M. A., Voumik, L. C., Pattak, D. C., Akter, S. & Ridwan, M. (2024). Vietnam’da sürdürülebilirlik: Ekonomik büyüme, enerji, inovasyon, tarım ve ormanların CO2 emisyonları üzerindeki etkisinin incelenmesi. World Development Sustainability, 4, 100164. https://doi.org/10.1016/j.wds.2024.100164
  • Raza, M. Y. & Tang, S. (2024). Pakistan’da nükleer enerji, ekonomik büyüme ve CO2 emisyonları: Genişletilmiş STRIPAT modelinden elde edilen kanıtlar. Nuclear Engineering and Technology, 56(7), 2480-2488. https://doi.org/10.1016/j.net.2024.02.006
  • Roodman, D. (2009). How to do xtabond2: an introduction to difference and system GMM in Stata. The Stata Journal, 9(1), 86-136. https://doi.org/10.1177/1536867X0900900106
  • Sahoo, M., Sethi, N., & Angel Esquivias Padilla, M. (2023). Unpacking the dynamics of information and communication technology, control of corruption and sustainability in green development in developing economies: New evidence. Renewable Energy, 216, 119088. https://doi.org/10.1016/j.renene.2023.119088
  • Sarkodie, S. A., & Owusu, P. A. (2021). Escalation effect of fossil-based CO2 emissions improves green energy innovation. Science of The Total Environment, 785, 147257. https://doi.org/10.1016/j.scitotenv.2021.147257
  • Sharif, A., Mehmood, U., & Tiwari, S. (2024). A step towards sustainable development: Role of green energy and environmental innovation. Environment, Development and Sustainability, 26(4), 9603-9624. https://doi.org/10.1007/s10668-023-03111-5
  • Solarin, S. A., Al-mulali, U. & Ozturk, I. (2018). Determinants of pollution and the role of the military sector: Evidence from a maximum likelihood approach with two structural breaks in the USA. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-018-3060-5
  • Soto, M. (2009). System GMM estimation with a small sample. Barcelona Economics Working Paper Series Working Paper, No. 395
  • Suproń, B., & Myszczyszyn, J. (2024). Exploring the dynamic relationships between agricultural production and environmental pollution: Evidence from a Gmm-sys model in the three seas initiative (3SI). Sustainability 2024, Vol. 16, Page 3748, 16(9), 3748. https://doi.org/10.3390/SU16093748
  • Tang, K., Chen, Q., Tan, W., & Wu Feng, Y. J. (2022). The ımpact of financial deepening on carbon reductions in China: Evidence from city- and enterprise-level data. International Journal of Environmental Research and Public Health, 19(18), 11355. https://doi.org/10.3390/ijerph191811355
  • Topal, M. H. & Hayaloğlu, P. (2017). Farklı gelişmişlik düzeylerinde kurumsal kalitenin çevre performansı üzerindeki etkisi: Ampirik bir analiz. Sosyoekonomi, 25, 189-212. https://doi.org/10.17233/sosyoekonomi.273969
  • Umar, M., & Safi, A. (2023). Do green finance and innovation matter for environmental protection? A case of OECD economies. Energy Economics, 119, 106560. https://doi.org/10.1016/j.eneco.2023.106560
  • Wang, Z., Yang, Z., Zhang, Y. & Yin, J. (2012). Energy technology patents – CO2 emissions nexus: An empirical analysis from China. Energy Polich, 42, 248–260. https://doi.org/10.1016/j.enpol.2011.11.082
  • Wooldridge, J. M. (2002). Two-way fixed effects, the two-way mundlak regression, and difference-in-differences estimators. ERN: Estimation (Topic).
  • Yii, K. J. & Geetha, C. (2017). The nexus between technology innovation and CO2 emissions in Malaysia: Evidence from granger causality test. Energy Procedia, 105, 3118–3124.
  • 2005 World Summit Outcome, (2005). Resolution adopted by the General Assembly on 16 September 2005, United Nations, A/RES/60/1.
Toplam 78 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Panel Veri Analizi , Çevre Ekonomisi
Bölüm Araştırma Makalesi
Yazarlar

Hayriye Atik 0000-0001-7480-080X

Numan Kışlacık 0000-0001-9346-5197

Kevser İnce 0000-0002-7046-0120

Merve Çelik 0009-0003-7375-1569

Fatih Ekmekçi 0009-0008-4118-4148

Hüseyin Mazharettin Demir 0000-0003-3560-5440

Gönderilme Tarihi 24 Ocak 2025
Kabul Tarihi 4 Eylül 2025
Yayımlanma Tarihi 26 Mart 2026
DOI https://doi.org/10.17130/ijmeb.1626328
IZ https://izlik.org/JA28LC36YY
Yayımlandığı Sayı Yıl 2026 Cilt: 22 Sayı: 1

Kaynak Göster

APA Atik, H., Kışlacık, N., İnce, K., Çelik, M., Ekmekçi, F., & Demir, H. M. (2026). 2005 DÜNYA SOSYAL GELİŞME ZİRVESİ SONRASI YEŞİL İNOVASYONUN CO2 EMİSYONUNA ETKİSİ: SİSTEM GMM YÖNTEMİ. Uluslararası Yönetim İktisat ve İşletme Dergisi, 22(1), 156-177. https://doi.org/10.17130/ijmeb.1626328


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