Spending Behavior and Economic Impacts of Urban Digital Consumption Vouchers
Ming-Huan Liou, Shou-Yung Yin, Hsiang-Wen Mao

TL;DR
This study assesses the effectiveness of Taipei's digital consumption vouchers, revealing how different voucher types and values influence spending behavior and economic impact through behavioral mechanisms and regional input-output analysis.
Contribution
It provides new insights into how voucher types and values affect consumer behavior and regional economic multipliers, informing better policy design.
Findings
Accommodation vouchers generate high additional spending.
Sports vouchers tend to replace existing consumption.
Higher voucher values increase marginal consumption and economic multipliers.
Abstract
This paper evaluates the Taipei Bear Vouchers 2.0 program using verified user-level survey data and a regional input-output model to assess the effectiveness of consumption vouchers as a fiscal stimulus tool. We focus on three key behavioral mechanisms: expenditure substitution, induced consumption, and the intensity of treatment through varying voucher face values. Our findings show that voucher effectiveness differs by type. Accommodation vouchers stimulate the most additional spending due to low expenditure substitution and high induced consumption effects, while sports vouchers often replace existing consumption. Increases in voucher value further enhance marginal consumption, especially when this change is a part of unexpected policy. Taking these behavioral responses into account, we find that the output multiplier of the program rises significantly, and indirect benefits extend…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSharing Economy and Platforms · Consumer Retail Behavior Studies · Digital Economy and Work Transformation
MethodsFocus
