The Evaluation Model of Social Governance Under the Background of Rural Revitalization Based on Big Data

DOI

10.2991/978-94-6463-064-0_83How to use a DOI?

Keywords

social governance; rural revitalization; evaluation model; rural area

Abstract

With the in-depth implementation of the rural revitalization strategy in China, the rural social governance is facing new opportunities and challenges. The construction of a systematic and scientific evaluation index system of rural social governance has important guiding significance for the modernization of rural governance in China. By studying the relevant literature, theoretical basis and existing research results of social governance evaluation, and according to the construction principle of evaluation index, this study constructs the evaluation index system of rural revitalization of China’s social governance and carrying out empirical research. On this basis, five evaluation models in China’s social governance of rural revitalization are established, such as economic basis evaluation, environmental governance evaluation, rural style civilization evaluation, public service evaluation, people’s livelihood security evaluation. to provide scientific evaluation basis for social governance in the implementation of rural revitalization strategy.

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.

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TY  - CONF
AU  - Chunfang Feng
AU  - Xuankai Ding
PY  - 2022
DA  - 2022/12/27
TI  - The Evaluation Model of Social Governance Under the Background of Rural Revitalization Based on Big Data
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 808
EP  - 823
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_83
DO  - 10.2991/978-94-6463-064-0_83
ID  - Feng2022
ER  -