Affective Clientelism and Resident Turnout in Albania: Moral Reciprocity, Leader Attachment, and Cynical Adaptation under Hybrid Rule

Abstract

Electoral participation among resident citizens in Albania remains unusually high despite pervasive perceptions of corruption and low institutional trust. Existing accounts of clientelism often model turnout as a contingent material exchange, leaving under-specified the moral and affective mechanisms that sustain loyalty under chronic dissatisfaction. This article develops the concept of affective clientelism: a mode of political linkage in which distributive dependence is stabilized by (i) normatively sanctioned reciprocity, (ii) leader-centered attachment and out-group threat, and (iii) cynical adaptation that attenuates the behavioral consequences of scandal. Empirically, the article employs an explanatory sequential mixed-methods design that triangulates (a) turnout recalculation using the resident voting-age population from the 2023 census as the denominator (to address register inflation driven by emigration), (b) a nationally representative survey (September 2024, N=1,000), and (c) six focus groups conducted in Tirana, Durrës, Shkodër, and Kamëz (November 2024). Corrected calculations indicate that resident participation exceeds 85% in multiple districts and surpasses 90% in several cases. Survey evidence using projective items shows that employment-based expectations are widely perceived to influence vote choice (67.0%), that the party leader is reported as a dominant influence (82.6%), and that a substantial share of respondents report limited vote change in response to scandals (48.5%). Focus-group narratives contextualize these patterns within a moral economy of “help” and obligation, leader-centered protection, and a defensive cynicism that normalizes corruption as a condition of political life. The findings suggest that high resident turnout in Albania should not be read straightforwardly as democratic accountability, but as evidence of dense party-centered dependency networks operating under low-trust conditions.

Received: 5 January 2026 / Revised: 20 February 2026 / Accepted: 3 March 2026 / Published: 25 March 2026