Deconstructing Capital Barriers: A Choice-Based Conjoint Analysis of Solar Financing Models in Emerging Markets

Abstract

The transition of Micro, Small, and Medium Enterprises (MSMEs) toward decentralized rooftop solar is critical for sustainable industrial growth in emerging economies, yet commercial adoption remains sluggish despite grid parity. This study empirically investigates MSME preferences for solar financing architectures using a Choice-Based Conjoint (CBC) experiment grounded in Random Utility Theory. Primary data were collected from 100 MSMEs in India’s National Capital Region, generating 1,000 discrete choice observations under strictly controlled load conditions (50–60 kW). A Conditional Logit Model was employed to estimate part-worth utilities across capital structures, tariff mechanisms, and performance risk allocation. Contradicting standard market assumptions, the aggregate choices revealed a 77.6% rejection rate of standard solar offerings. The econometric results demonstrate severe utility penalties for upfront capital and fixed repayment obligations . Crucially, the requirement for firm-assumed maintenance risk generated perfect separation , acting as an absolute barrier to adoption. However, market simulations isolating an optimized financing package—combining zero-upfront OPEX, pay-per-unit tariffs, and developer-assumed risk—resulted in the adoption rate increasing to 76.3%. The findings indicate that the current stagnation in commercial solar diffusion is driven primarily by suboptimal risk allocation and product mismatch, rather than a lack of underlying economic viability. To accelerate deployment, policymakers and financial institutions must pivot from capital-subsidy models toward standardizing and de-risking third-party "Energy-as-a-Service" frameworks.