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Recently, there has been rising global concern regarding the importance of achieving environmental sustainability. Consequently, researchers and policymakers have focused on identifying and evaluating the various elements that contribute to an individual's ecological footprint and environmental consequences. Therefore, this study provides an in-depth understanding of the roles of green technology, research and development (R&D), and environmental policies that help attain environmental sustainability in Ghana. The present study utilized both the nonlinear autoregressive distributed lag (NARDL) and autoregressive distributed lag (ARDL) techniques to evaluate the long and short-run relationships between explanatory variables from 1990 to 2022. The study compares the results of NARDL and ARDL techniques. The findings reveal that the NARDL (0.999) analysis had a greater impact on the ecological footprint in Ghana than the ARDL (0.996) analysis. Under the ARDL technique, green technology has a negative impact on ECF in both the short and long run, and R&D also decreases ecological footprint (ECF) in the long run. Environmental policies had a negative impact on ECF in both the short and long run. Based on the NARDL approach, an adverse change in GT had a negative impact (0.004) on the ECF in both the short and long run. In contrast, a negative change in R&D has a negative impact (0.007) on the ECF in the short run, and a positive change in R&D negatively affects the ecological footprint in the long run. Notably, a positive change in environmental policies had a significant negative impact (0.040) on the ECF in the short and long run. This study suggests that policymakers should encourage and support the adoption and application of green technology and the development of robust environmental policies, as these measures can significantly contribute to decreasing the ecological footprint and fostering environmental sustainability. • This research assesses factors for attaining environmental sustainability in Ghana. • This study utilizes the ARDL and NARDL methodologies. • Research and development decrease ecological footprint. • Green technology can contribute to reducing ecological footprint in the long run. • Environmental policies decrease ecological footprint in the short run. [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]