Economics ETDs

Publication Date

Spring 5-16-2026

Abstract

This dissertation contributes to theoretical framing within the discipline of library science, while building out empirical methods for quantitatively valuing broadly loved public libraries. Chapter 1 lays the foundation for understanding how analysis public libraries must always be set within regional contexts. Chapter 2 demonstrates that positive voter valuation of public libraries is driven by proximity to a library building by using data from public funding referendum events. Chapter 3 estimates a reduction of 0.75 percentage point (p=0.002) in graduation rates where public libraries were closed (but school instruction was in-person) from COVID closures. Chapter 4 builds on the previous demonstrations of value and risk mitigation benefits to present a framework for optimizing the adaptive capacity improving outcomes of public library service. The concluding chapter of this dissertation maps a way forward for public library research contextualized within the full panoply of crises facing individuals, communities, and their institutions.

Degree Name

Economics

Level of Degree

Doctoral

Department Name

Department of Economics

First Committee Member (Chair)

Jingjing Wang

Second Committee Member

Robert Berrens

Third Committee Member

Xiaoyang Wang

Fourth Committee Member

Peter Nencka

Keywords

public libraries, public economics, referendum, taxation, optimization

Document Type

Dissertation

Comments

Accepted with distinction, February 7, 2025

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