Analysis of Regional Differences and Influencing Factors of Rural Governance Modernisation in China
17 mar 2025
INFORMAZIONI SU QUESTO ARTICOLO
Pubblicato online: 17 mar 2025
Ricevuto: 23 ott 2024
Accettato: 15 feb 2025
DOI: https://doi.org/10.2478/amns-2025-0256
Parole chiave
© 2025 Dan Jiang, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Figure 1.

Effects of factors on rural modernization governance effect factors
| Action relation | Direct effect | Indirect effect | Total effect |
|---|---|---|---|
| RBG-QRGM | 0.157 | RBG-RPAG-QRGM | 0.226 |
| RPAG-QRGM | 0.264 | —— | 0.286 |
| RPSG1-QRGM | Unsignificant test | RPSG1-RPSG2-QRGM | 0.018 |
| RPSG2-QRGM | 0.362 | RPSG2-RPEG-QRGM | 0.375 |
| RPEG-QRGM | Unsignificant test | RPEG-RBG-QRGM | 0.029 |
The efficiency of rural modernized management of China’s provinces
| Region | Province | Integrated efficiency | Pure technical efficiency | Scale efficiency | Scale compensation | Result judgment |
|---|---|---|---|---|---|---|
| National efficiency mean | 0.479 | 0.732 | 0.625 | |||
| North China | Beijing | 1.000 | 1.000 | 1.000 | Unchanged | Effective governance |
| Tianjin | 1.000 | 1.000 | 1.000 | Unchanged | Effective governance | |
| Hebei | 0.256 | 0.312 | 0.775 | Diminishing | Ineffective governance | |
| Shanxi | 0.262 | 0.483 | 0.565 | Diminishing | Ineffective governance | |
| Inner Mongolia | 0.227 | 0.546 | 0.546 | Diminishing | Ineffective governance | |
| Mean | 0.549 | 0.668 | 0.777 | |||
| Northeast China | Liaoning | 0.534 | 0.569 | 0.676 | Diminishing | Ineffective governance |
| Jilin | 0.563 | 0.627 | 0.742 | Diminishing | Ineffective governance | |
| Heilongjiang | 0.771 | 0.758 | 0.818 | Increasing | Ineffective governance | |
| Mean | 0.623 | 0.651 | 0.745 | |||
| East China | Shanghai | 1.000 | 1.000 | 1.000 | Unchanged | Effective governance |
| Jiangsu | 0.804 | 1.000 | 0.804 | Diminishing | Weak governance | |
| Zhejiang | 0.768 | 0.684 | 0.738 | Diminishing | Ineffective governance | |
| Anhui | 0.545 | 0.693 | 0.525 | Diminishing | Ineffective governance | |
| Fujian | 0.498 | 1.000 | 0.498 | Diminishing | Weak governance | |
| Jiangxi | 0.667 | 0.923 | 0.602 | Diminishing | Ineffective governance | |
| Shandong | 0.346 | 1.000 | 0.346 | Diminishing | Weak governance | |
| Mean | 0.661 | 0.900 | 0.645 | |||
| Central China | Henan | 0.224 | 0.458 | 0.526 | Diminishing | Ineffective governance |
| Hubei | 0.326 | 0.405 | 0.648 | Diminishing | Ineffective governance | |
| Hunan | 0.328 | 0.624 | 0.674 | Diminishing | Ineffective governance | |
| Mean | 0.293 | 0.496 | 0.616 | |||
| South China | Guangdong | 0.486 | 0.536 | 0.557 | Diminishing | Ineffective governance |
| Guangxi | 0.340 | 1.000 | 0.340 | Diminishing | Weak governance | |
| Hainan | 1.000 | 1.000 | 1.000 | Unchanged | Effective governance | |
| Mean | 0.609 | 0.845 | 0.632 | |||
| Southwest China | Chongqing | 0.464 | 1.000 | 0.464 | Diminishing | Weak governance |
| Sichuan | 0.168 | 0.286 | 0.554 | Diminishing | Ineffective governance | |
| Guizhou | 0.118 | 0.276 | 0.575 | Diminishing | Ineffective governance | |
| Yunnan | 0.163 | 0.267 | 0.694 | Increasing | Ineffective governance | |
| Tibet | 0.654 | 1.000 | 0.654 | Diminishing | Weak governance | |
| Mean | 0.313 | 0.566 | 0.588 | |||
| Northwest China | Shaanxi | 0.254 | 0.258 | 0.976 | Diminishing | Ineffective governance |
| Gansu | 0.258 | 1.000 | 0.258 | Diminishing | Weak governance | |
| Qinghai | 0.262 | 1.000 | 0.262 | Diminishing | Weak governance | |
| Ningxia | 0.228 | 1.000 | 0.228 | Diminishing | Weak governance | |
| Xinjiang | 0.335 | 1.000 | 0.335 | Diminishing | Weak governance | |
| Mean | 0.267 | 0.852 | 0.412 | |||
The modernization level evaluation index system of rural governance
| System layer | Criterion layer | Index meaning |
|---|---|---|
| Quality of rural governance modernization (QRGM) | The modernization of rural basic governance (RBG) | Rural residents per capita basic disposable income |
| Rural residents high school and higher degree of education labor ratio | ||
| The rural director or the secretary “one shoulder” lead the team | ||
| The rural committee member university specialty and the above cultural proportion | ||
| Total income of rural collective operations | ||
| The minimum living allowance for rural residents is a ratio | ||
| The modernization of rural public affairs governance (RPAG) | The level of development of rural party members | |
| Public decision execution rate of important rural matters | ||
| The participation rate of villagers in rural important decision-making | ||
| The construction level of the rural public affairs management organization system | ||
| Rural “three resources” modernization information management coverage | ||
| Rural “three affairs” modernization online disclosure rate | ||
| The penetration rate of rural regulations | ||
| The rate of development of rural civilized governance activities | ||
| The modernization of rural public security governance (RPSG1) | The full allocation rate of rural public security officers | |
| Rural public safety law assistance and judicial rescue coverage | ||
| The success rate of dispute settlement in rural neighbors | ||
| The rural public safety law promotes the rate of education activities | ||
| The operation rate of public safety monitoring facilities in rural areas | ||
| Public safety and prevention and control of rural public security diseases | ||
| The modernization of rural public service governance (RPSG2) | Rural community “one-stop” integrated service facilities coverage | |
| Availability of rural public service governance | ||
| Number of rural public medical personnel | ||
| Rural basic public service network efficiency | ||
| Availability rate of rural public labor employment training service | ||
| The complete placement rate of rural public cultural and physical services facilities | ||
| Rural public obligation education service availability rate | ||
| The modernization of rural public environment governance (RPEG) | Rural road hardening rate | |
| The penetration rate of public health toilets in rural areas | ||
| Public penetration rate of rural drinking water | ||
| Rural domestic gas public penetration | ||
| The concentration of public living sewage in rural areas | ||
| Rural public forest coverage |
Regression path coefficient and its significance
| Hypothesis | Path | Estimate | S.E. | C.R. | P | Results |
|---|---|---|---|---|---|---|
| H1 | RBG-QRGM | 0.157 | 0.078 | 2.056 | 0.050 | Accept |
| H2 | RBG-RPAG | 0.224 | 0.068 | 3.209 | 0.001 | Accept |
| H3 | RPAG-QRGM | 0.264 | 0.076 | 3.145 | 0.010 | Accept |
| H4 | RPAG-RPSG1 | 0.267 | 0.106 | 2.418 | 0.001 | Accept |
| H5 | RPSG1-QRGM | 0.032 | 0.043 | 0.615 | 0.236 | Refuse |
| H6 | RPSG1-RPSG2 | 0.254 | 0.114 | 2.628 | 0.050 | Accept |
| H7 | RPSG2-QRGM | 0.362 | 0.065 | 6.015 | 0.010 | Accept |
| H8 | RPSG2-RPEG | 0.678 | 0.079 | 6.742 | 0.001 | Accept |
| H9 | RPEG-QRGM | 0.102 | 0.058 | 1.521 | 0.148 | Refuse |
| H10 | RPEG-RBG | 0.314 | 0.098 | 2.654 | 0.010 | Accept |
