Financování nízkouhlíkových technologií: případové studie z rozvíjejících se trhů

This compilation dissertation comprises three studies, all focusing on the acceptability, financing, and operation of technological solutions for the energy transition. The first essay applies the goal-directed behavior model and uses partial least squares structural equation modeling (PLS-SEM) to analyze the behavioral determinants of the intention to adopt hybrid electric passenger vehicles in an oil-rich, fuel-cheap country. The second essay analyzes the financial performance and social desirability of sun-tracking systems relative to fixed systems using a cost–benefit approach. The third study uses real-time, plant-level hourly operational and meteorological data from a utility-scale PV system to analyze output variation across multiple temporal scales. It applies ordinary least squares (OLS) to examine how temperature, humidity, and dew point affect electricity generation, while accounting for performance risk from weather-driven variability. By providing this empirical evidence, the dissertation contributes to a better understanding of the factors shaping the adoption and diffusion of low-carbon technologies in the energy and transport sectors, particularly in contexts where private-sector decisions may not fully align with broader public welfare objectives. It further discusses how public finance instruments—especially on the expenditure side—can support the uptake and diffusion of these technologies (HEVs and PV) within the contexts examined, while also offering insights into potential revenue-side implications relevant to the transition.