<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The essential role of basic public services is to mitigate income disparities across regions, between urban and rural areas, and among societal members, thereby fostering social equity and ensuring the harmonious progression of society. This article delves into the theoretical foundations of public services within ethnic regions and proposes an evaluation index system grounded in the principle of public service equity. To quantify the provision of public services in ethnic areas, the study employs a comprehensive scoring model and the Thiel index, enhancing the analytical framework with the Data Envelopment Analysis (DEA) model to assess the efficiency of public service delivery. Additionally, the Malmquist index is utilized to trace the dynamic evolution of public service levels over time. The research focuses on five ethnic autonomous regions, evaluating their public service levels and operational efficiency. Findings indicate a relatively low Thiel index in these regions, ranging between 0.36 and 0.39, suggesting modest disparities in public service provision. The variance between the highest and lowest average technical efficiencies in public services across these regions from 2015 to 2019 was a mere 3.33%, with an overall efficiency increase of 24.20% during this period. The data underscore a critical need for enhanced investment in public services within ethnic regions to satisfy the escalating demand and effectively foster a service-oriented governmental framework.</p>
</abstract>

The essential role of basic public services is to mitigate income disparities across regions, between urban and rural areas, and among societal members, thereby fostering social equity and ensuring the harmonious progression of society. This article delves into the theoretical foundations of public services within ethnic regions and proposes an evaluation index system grounded in the principle of public service equity. To quantify the provision of public services in ethnic areas, the study employs a comprehensive scoring model and the Thiel index, enhancing the analytical framework with the Data Envelopment Analysis (DEA) model to assess the efficiency of public service delivery. Additionally, the Malmquist index is utilized to trace the dynamic evolution of public service levels over time. The research focuses on five ethnic autonomous regions, evaluating their public service levels and operational efficiency. Findings indicate a relatively low Thiel index in these regions, ranging between 0.36 and 0.39, suggesting modest disparities in public service provision. The variance between the highest and lowest average technical efficiencies in public services across these regions from 2015 to 2019 was a mere 3.33%, with an overall efficiency increase of 24.20% during this period. The data underscore a critical need for enhanced investment in public services within ethnic regions to satisfy the escalating demand and effectively foster a service-oriented governmental framework.

Analysis of Strategies for Improving Public Service Level in Ethnic Areas Based on Big Data Technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The essential role of basic public services is to mitigate income disparities across regions, between urban and rural areas, and among societal members,...

Analysis of Strategies for Improving Public Service Level in Ethnic Areas Based on Big Data Technology

Pubblicato online: 05 ago 2024

Pagine: -

Ricevuto: 14 apr 2024

Accettato: 11 lug 2024

DOI: https://doi.org/10.2478/amns-2024-1976

Parole chiave
Comprehensive scoring model, Thiel index, DEA model, Malmquist index, Public service level

© 2024 Jing Zhang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Analysis of Strategies for Improving Public Service Level in Ethnic Areas Based on Big Data Technology

Pubblicato online: 05 ago 2024

Pagine: -

Ricevuto: 14 apr 2024

Accettato: 11 lug 2024

DOI: https://doi.org/10.2478/amns-2024-1976

Parole chiaveComprehensive scoring model, Thiel index, DEA model, Malmquist index, Public service level

© 2024 Jing Zhang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
Comprehensive scoring model, Thiel index, DEA model, Malmquist index, Public service level