Technical Summary: Adoption of Central Bank Digital Currencies: A Mixed-Methods Approach

Problem Statement

The global digital economy has accelerated the exploration of Central Bank Digital Currencies (CBDCs) by nations worldwide. While China's CBDC, the e-CNY (digital yuan), is being actively piloted, the voluntary adoption of CBDCs by the general public remains a significant challenge. Historical precedents, such as the failure of Ecuador's Dinero Electrónico due to low adoption, highlight the necessity of understanding the behavioral mechanisms driving user acceptance. Existing literature has predominantly focused on the technical, operational, and monetary policy implications of CBDCs, leaving a gap in understanding the psychological and behavioral factors influencing individual users' intentions to adopt them. Furthermore, traditional technology acceptance models (e.g., TAM, UTAUT) may not fully capture the complexities of CBDC adoption, which involves state-backed legal tender, entrenched habits with existing third-party payment systems (e.g., WeChat Pay, Alipay), and socio-emotional factors like national identity.

Methodology

This study employs a mixed-methods approach consisting of two sequential phases to develop and validate a behavioral model for e-CNY adoption:

Phase 1: Qualitative Grounded Theory Study

• Objective: To explore subjective perspectives and develop a preliminary theoretical framework.
• Data Collection: 30 one-on-one interviews were conducted with residents of e-CNY pilot cities in China. Participants viewed an introductory video on e-CNY before discussing their willingness to use it and the factors influencing their decisions.
• Analysis: Interviews were transcribed and analyzed using grounded theory coding (open coding, axial coding, and selective coding) following guidelines by Pryor et al. (2009) and Strauss & Corbin (1994).
• Outcome: Identification of three primary pathways influencing adoption intention: cost-benefit assessment, behavioral habits, and emotional sentiment.

Phase 2: Quantitative Structural Equation Modeling (SEM)

• Objective: To test the hypotheses derived from the qualitative phase and the Value-Based Adoption (VBA) model.
• Data Collection: An online survey was distributed via a professional research panel in China. After screening for quality (excluding incomplete or inconsistent responses), 570 valid responses were retained.
• Instrument: A 7-point Likert scale survey measuring constructs including Perceived Value, Relative Advantage, Procedural Switching Costs, Habit of using third-party platforms, National Identity, and Intention to use e-CNY.
• Analysis: Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS 4.0. The analysis included evaluating the measurement model (reliability and validity), testing for common method bias, assessing the structural model, and examining mediation effects using the Bootstrap method (5,000 resamples).

Key Findings and Results

The study proposes and validates a model where Perceived Value is the primary determinant of the intention to adopt e-CNY. The results support the following mechanisms:

1. Perceived Value as the Core Driver: Adoption intention is positively influenced by the perceived value of e-CNY. This value is determined by a trade-off between Relative Advantage (benefits) and Procedural Switching Costs (sacrifices).

   • Relative Advantage: Positively impacts perceived value. Users perceive e-CNY as advantageous due to features like offline payments and direct bank settlement compared to third-party platforms.
   • Procedural Switching Costs: Negatively impacts perceived value. Costs include the time and effort required to download, register, and learn the new system.

2. The Role of Habits: The habit of using third-party payment platforms (e.g., WeChat Pay, Alipay) acts as a barrier.

   • It negatively impacts the perceived relative advantage of e-CNY.
   • It positively increases the perceived procedural switching costs.
   • Consequently, habit indirectly reduces adoption intention by lowering perceived value. The study finds this effect is fully mediated through the VBA constructs; habit does not have a significant direct effect on intention once value perceptions are accounted for.

3. The Role of National Identity: National identity (the emotional connection to one's nation) positively influences adoption intention.

   • It enhances the perceived relative advantage of e-CNY.
   • It reduces the perceived procedural switching costs.
   • Like habit, national identity's impact on adoption intention is fully mediated through the perceived value constructs.

4. Model Explanatory Power: The final model explains 49.5% of the variance in the intention to use e-CNY, indicating strong predictive relevance.

Key Contributions

The paper claims three primary contributions to the literature:

1. Theoretical Extension (VBA Model): While previous studies utilized models like the five-stage process or task-technology fit, this study introduces the Value-Based Adoption (VBA) model to the CBDC context. It demonstrates that an economic perspective (weighing benefits vs. sacrifices) is critical for understanding CBDC adoption. The study specifically contextualizes "benefits" as relative advantages over third-party platforms and "sacrifices" as procedural switching costs.
2. Addressing the Habit Gap: The study addresses the overlooked impact of entrenched payment habits on CBDC adoption. It challenges the notion that habits only influence behavior through inertia, demonstrating that in the context of CBDCs (disrupted by external stimuli like media coverage), habits can consciously alter behavioral beliefs regarding relative advantage and switching costs.
3. Incorporating Socio-Emotional Factors: The research expands the CBDC adoption framework by integrating National Identity. It posits that beyond economic and technological factors, socio-political contexts and emotional attachments to national sovereignty play a crucial role in shaping user perceptions and adoption intentions.

Significance and Implications

The authors assert that their findings offer a nuanced understanding of user adoption, moving beyond technical design to the psychological drivers of behavior.

• For Literature: The study bridges the gap between technology acceptance and behavioral economics in the context of sovereign digital currencies. It highlights that successful CBDC integration requires addressing not just functionality, but also the psychological trade-offs users make and the emotional barriers (habits) and enablers (national pride) they face.
• For Practice: The findings suggest specific strategies for policymakers and banks:
  • Mitigate Habits: Offer substantial incentives (discounts, cashback) to disrupt entrenched third-party payment habits.
  • Leverage National Identity: Frame marketing campaigns around national pride and the e-CNY as a symbol of national progress to enhance perceived value.
  • Reduce Switching Costs: Simplify the onboarding process (registration, learning curve) to lower procedural barriers.
  • Highlight Relative Advantage: Clearly communicate superior features (e.g., offline capability) to strengthen the perception of relative advantage.

The paper concludes modestly, acknowledging limitations such as the cross-sectional design (preventing causal inference over time) and the specific age demographic of the sample, suggesting future longitudinal studies and broader demographic inclusion are necessary to further validate these mechanisms.