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Renewable energy-generated electricity can improve the reliability of the power grid and contribute positively to environmental sustainability. This study expanded the theory of planned behavior (TPB) with government involvement and awareness of benefits to assess Ghanaian's willingness to pay (WTP) for renewable green electricity (RGE) in Ghana. With questionnaire responses, hypothetical statements were evaluated using partial least square-structural equation modeling (PLS-SEM). The findings are: (1) The research revealed that government involvement impacted WTP for RGE in Ghana through attitude and subjective norm except perceived behavioral control. (2) The study found that awareness of benefits influenced WTP for RGE in Ghana via attitude and subjective norm except perceived behavioral control. This research showed that the explanatory ability of the current structural research model (R2 = 52.2%) was better than that of the original TPB model (R2 = 42.3%), affirming that the structural model better explained the WTP for renewable green electricity in Ghana. Ghanaians' WTP for RGE typically stimulates the execution of renewable energy objectives that will enhance sustainable development if the government and investors give information on the environment. Governments can also increase Ghanaians willingness to pay for RGE by educating on the importance of renewable green electricity in providing a sustainable energy source for everybody. [ABSTRACT FROM AUTHOR]

The increasing demand for local anaerobic waste-to-energy projects triggered by citizens' environmental consciousness has forced communities, practitioners, and academicians worldwide to prioritize this subject. This research extends the theory of planned behavior (TPB) model with egoistic value. This study assessed residents' willingness to accept energy from food waste via anaerobic digestion (AD) projects. This study compares the new research framework with the original TPB framework. Using 408 questionnaires from Chinese residents in Jiangsu Province, hypothetical statements were assessed using a covariance-based structural equation model (CB-SEM). Egoistic values influenced all TPB constructs. The study found that TPB constructs mediated the association between egoistic value and residents' willingness to accept energy from food waste through AD projects. The findings suggest that the actual research framework can better explain outcomes than the original TPB model. This shows that the actual framework is more effective in understanding residents' willingness to accept energy from food waste through AD projects. Policymakers and investors should communicate the health benefits of energy from food waste via anaerobic digestion schemes to citizens. Also, the policymakers or experts should focus on egoistic values or the health benefits of the citizens before they hurry to uptake the projects. • The study assessed residents' willingness to accept energy from local anaerobic digestion projects. • The partial least square-structural equation modeling (PLS-SEM) was used for the study. • The explanatory ability of the current research model is better than the original TPB model. • Egoistic values influenced TPB towards citizens' willingness to accept energy from the project. • Egoistic values positively influence citizens' willingness to pay for energy from the project. [ABSTRACT FROM AUTHOR]

Growing industry, urbanization, and population in developing nations like Ghana is increasing waste generation. Municipal solid waste (MSW) mishandling has serious environmental, public health, and socio-economic implications. This study analyzed the direct and indirect influence on citizens' intention to invest in MSW to energy projects in Ghana and expanded the norm activation model (NAM) and theory of planned behavior (TPB) with perceived value and health consciousness. With 412 questionnaire responses, hypothetical statements were evaluated using partial least square-structural equation modeling (PLS-SEM). The findings are: (1) The study found that awareness of consequences indirectly influenced citizens' intention to invest in MSW to energy projects through attitude, personal norms, perceived value, perceived behavioral control, subjective norm, and health consciousness. (2) This study indicated that the explanatory ability of the current structural research model (R2 = 40.1%) is better than that of the extended TPB model (R2 = 38.0%) and NAM (R2 = 28.4%) with perceived value and health consciousness, and the structural model can better explain their intention to invest. Additionally, several recommendations are suggested for investing in MSW to energy projects in Ghana. This study has the potential to assist academics, researchers, government officials, and investors engaged in MSW to energy projects in making knowledgeable decisions. • Citizens' intention to invest in MSW to energy projects was assessed in Ghana. • The study assessed the explanatory power of TPB and NAM using PLS-SEM. • All the hypothesis influenced citizens' intention to invest in the projects. • The study compare the current research model, NAM, and the TPB model. • The recommendations for citizens' intention to invest in the projects are detailed. [ABSTRACT FROM AUTHOR]

There are growing concerns worldwide about the release of harmful gases from fossil-fueled vehicles into the environment, motivating the emergence of electric vehicles (EVs). However, consumers are hesitant to adopt EVs as they are scared of the long charging times and being stranded midway through a journey. Addressing this concern is the introduction of Battery swap technology (BST). BST assures an uninterrupted driving range in EVs. In this study, the adoption intention of BST for EVs is explored as BST′ success depends on consumer acceptance to guarantee pro-environmental consumption and pollution reduction. The current study extends the theory of planned behavior (TPB) with perceived benefits and knowledge. 407 responses from China's Beijing-Tianjin-Hebei region were used in this investigation. Findings revealed that the extended TPB improved the explanatory power from 39.5% to 45.7%. Attitude, perceived behavior control (PBC), subjective norms, knowledge, and perceived benefit directly influenced adoption intention. Subjective norms influenced PBC and attitude. PBC was insignificant in impacting attitude towards BST. Knowledge influenced attitude and perceived benefit. Attitude mediated Subjective norms and knowledge. Policy implications are enumerated to enhance BST acceptance and proliferation. • Battery swap technology adoption intent was assessed by extending the TPB model. • Hypothetical statements were assessed using PLS-structural equation modeling. • All constructs except PBC influenced the adoption intention of battery swap. • Subjective norms and knowledge were mediated by attitude towards intention. • Implications for total acceptance and proliferation of BST are enumerated. [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]