The ASEAN region is still majorly dependent on non-renewable sources, which emit more greenhouse emissions and are ranked as 3rd biggest emitter of greenhouse gases. Therefore the objective of the present study is to understand the role of green technology innovation and its effect on green growth. For said purpose, after accounting for the heterogeneity of the slope, cross section dependence, stationarity and cointegration on the dataset having yearly observations from 1992 to 2018, the application of CS-ARDL was made known for generating robust and consistent results by addressing the aforementioned statistical biases. The findings of CS-ARDL revealed that the relationship between technology innovation and renewable energy with carbon emissions and production-based carbon emissions was found to be negative. In contrast, non-renewable energy has a positive impact on carbon emissions and production-based carbon emissions. Moreover, the results were also validated by the AMG and CCEMG for both criterion variables, which are carbon emissions and production-based carbon emissions. Based on the findings, it is suggested that there is a need to channelize the research and development in order to improve the number of technological patents which help in controlling environmental degradation. The results and recommendations are discussed in further detail, where directions for future researchers are also proposed.

东盟地区仍然主要依赖不可再生能源，这些能源排放更多的温室气体，并被列为第三大温室气体排放国。因此，本研究的目的是了解绿色技术创新的作用及其对绿色增长的影响。为此，在考虑了 1992 年至 2018 年具有年度观察的数据集的斜率、横截面依赖性、平稳性和协整性的异质性之后，CS-ARDL 的应用以通过解决上述问题产生稳健和一致的结果而闻名统计偏差。CS-ARDL 的研究结果表明，技术创新和可再生能源与碳排放和基于生产的碳排放之间的关系被发现是负的。相比之下，不可再生能源对碳排放和基于生产的碳排放具有积极影响。此外，AMG 和 CCEMG 还对碳排放和基于生产的碳排放这两个标准变量的结果进行了验证。根据调查结果，建议有必要引导研究和开发，以增加有助于控制环境退化的技术专利数量。进一步详细讨论了结果和建议，并提出了未来研究人员的方向。建议有必要引导研究和开发，以增加有助于控制环境退化的技术专利数量。进一步详细讨论了结果和建议，并提出了未来研究人员的方向。建议有必要引导研究和开发，以增加有助于控制环境退化的技术专利数量。进一步详细讨论了结果和建议，并提出了未来研究人员的方向。