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South Asian economies have had substantial development in recent decades, but policymakers are concerned about long-term output stability. Considering this, institutional quality and green technical innovation are recognized as effective mechanisms to mitigate CO 2 emissions and promote sustainable growth as guided in core of COP 26. Consequently, the goal of this study is to investigate the long-run effect of institutional quality, green technology innovation, renewable energy, trade openness, population and economic growth on CO 2 emissions from 1995 to 2020 in selected South Asian countries. Due to the possibility of residual cross-sectional reliance and heterogeneity, the study examined the relationship between the variables using second-generation panel techniques. The empirical findings show that green technological innovation and renewable energy reduce CO 2 emissions by 0.084% and 0.054% respectively. Institutional quality, population growth, trade openness and economic growth degrade the environment 0.215%, 0.300%, 0.195% and 0.182% respectively. Dumitrescu and Hurlin (D-H) found a bidirectional causality association between green technological innovation, renewable energy consumption, trade openness, population size, economic growth, and CO 2 emissions. This study offers policy recommendations for achieving a low-carbon economy, increasing the use of renewable energy, improving the institutions, making more investments in green technology, and ensuring environmental sustainability in South Asian economies. • Investigate the relationship between institutional quality, green technological innova-tion and CO 2 emissions. • A second-generation panel technique is used in this study. • Green technological innovation and renewable energy mitigate CO 2 emissions. • Institutional quality and economic growth degrade the environment. • Trade openness and population growth significantly increase CO 2 emissions. • This study also contributes to the body of literature by considering the COP 26 resolu-tions. [ABSTRACT FROM AUTHOR]

Range satisfaction and "refueling" of battery electric vehicles (EVs) have become a major challenge hampering consumer acceptance. Battery Swap Technology (BST) is a trusted option in mitigating these obstacles. Available studies are yet to explore the psychological determinants of consumers' BST adoption intention. In addressing this gap, this study used a framework encompassing the technology acceptance model (TAM), theory of planned behavior (TPB), perceived risk, and knowledge in investigating consumers' adoption intention of BST using structural equation modeling. With responses from Chinese consumers in the Jiangsu province (n = 405), the results revealed that the structural model had a better fit and explanatory power (R2 = 0.58). Perceived usefulness, attitude, subjective norm, and knowledge positively influenced adoption intention towards battery swap technology. Perceived risk was negatively linked to attitude, perceived usefulness, and adoption intention, whiles perceived behavior control (PBC) was insignificant towards BST adoption intention. Also, knowledge fully mediated PBC and adoption intention. The findings confirmed that consumers' adoption intention differed by gender, family size, and residency type. The study provides meaningful policy implications to stakeholders to enhance adoption and enriches the understanding of consumers' adoption intentions in the context of battery swap technology. • Chinese' residents adoption intention of battery swap technology was investigated • Assessed the explanatory power of TPB, TAM, and structural model • Key constructs influencing BST adoption intention were assessed • Mediating effects of knowledge was investigated • ANOVA analysis of respondents was explored [ABSTRACT FROM AUTHOR]