Measuring Supply and Demand for Public Services: A Survey from Rural Sichuan, China
- DOI
- 10.2991/978-94-6463-056-5_78How to use a DOI?
- Keywords
- Public Service; Demand and Supply; Matching Model; Rural Community
- Abstract
The mismatch between demand and supply remains a challenge in public service delivery. A customer-oriented perspective allows us to turn our attention to the customer side of public services. Customers can also influence the performance of public services through demand and feedback. We have developed a citizen feedback framework and a public service matching model to measure the gap between supply and demand. The matching information can be fed back to public service providers to facilitate the accurate delivery of public services. We surveyed six rural communities in Sichuan, China, to test the model. We substituted data into the model and found that the matching between supply and demand for various services varied widely and was uneven across regions. The data showed that the degree of matching was positively correlated with the regional economic level. The model is valid in capturing the mismatch between supply and demand across regions and services.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Peng Wang AU - Mei Huang PY - 2022 DA - 2022/12/29 TI - Measuring Supply and Demand for Public Services: A Survey from Rural Sichuan, China BT - Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022) PB - Atlantis Press SP - 533 EP - 540 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-056-5_78 DO - 10.2991/978-94-6463-056-5_78 ID - Wang2022 ER -