India's Unified Payments Interface (UPI), launched in August 2016, represents one of the most remarkable digital payment transformations in any emerging economy. This study examines the structural determinants of UPI-based payment expansion using 113 monthly observations (August 2016–December 2025) and the ARDL bounds testing approach of Pesaran, Shin, and Smith (2001). Two separate model specifications are estimated: Model 1(M1) uses TRAI monthly broadband subscriber data as the primary connectivity variable (k = 8; F = 7.84); Model 2(M2) uses interpolated internet penetration as a robustness check (k = 8; F = 7.61). Both substantially exceed the 1% upper bound of 4.43, confirming cointegration. TRAI broadband carries a long-run elasticity of 0.58; mobile banking yields 0.53. The demonetisation step dummy implies a permanent structural increase of approximately 125% in UPI values, applying the correct semi-log formula (
). The ECT coefficient of −0.61 confirms rapid equilibrium restoration. VIF analysis confirms the absence of severe multicollinearity (max VIF = 3.84). Pairwise Granger causality tests reveal that TRAI broadband exerts a unidirectional influence on UPI (broadband → UPI; p = 0.027; reverse direction fails to reject at p = 0.274), supporting its identification as a structural determinant. NEFT and mobile banking exhibit bidirectionality; their long-run estimates are interpreted as associations withina cointegrating relationship. DOLS and FMOLS robustness checks confirm elasticity consistency.
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