ANNOUNCEMENTS
This thesis investigates the adoption dynamics of green technologies, particularly Solar PV systems, in urban settings within developing economies, with a focus on Delhi, India. The study aims to understand the economic, behavioural, and cultural factors influencing adoption decisions and assess the effectiveness of existing policy instruments and communication strategies in promoting Solar PV adoption. Through a comprehensive analysis incorporating principal component analysis, logistic regression, ANOVA tests, chi-square tests, and a Theory of Planned Behaviour (TPB) regression model, several key insights have emerged. The findings reveal that while demographic factors such as age and education influence adoption decisions to some extent, economic factors like income may not be as decisive due to existing support mechanisms. Attitudes, subjective norms, and perceived behavioural control emerge as critical drivers of intention to adopt Solar PV technology, emphasizing the importance of addressing attitudinal barriers and leveraging social influences. The study highlights the effectiveness of existing policy instruments, educational campaigns, and community-led initiatives in fostering a supportive environment for Solar PV adoption. However, challenges such as regulatory complexity, financial constraints, and limited awareness persist, necessitating targeted interventions and policy reforms. The study contributes to the growing body of literature on green technology adoption in developing economies by providing empirical evidence, actionable insights, and practical recommendations. By understanding the complex interplay of economic, behavioural, and cultural factors, policymakers and stakeholders can design more effective interventions and policies tailored to the specific needs and contexts of urban populations in developing economies, ultimately accelerating the transition towards sustainable energy systems and contributing to environmental conservation, energy security, and economic development.
