Multidimensional Evaluation of the Quality of Rural Life Using Big Data from the Perspective of Common Prosperity
Bibliographic Data
| ID | 15469873 |
|---|---|
| Authors | Jing Zhang (0000-0002-6431-9286, Rural Development Institute), Bingbing Huang (0000-0002-7036-2635, Zhejiang University), Xinming Chen (0000-0002-7366-6431, Territorial Consolidation Center in Zhejiang Province, Department of Natural Resources of Zhejiang Province, Hangzhou 310007, China), Congmou Zhu (0009-0003-2400-4970, Zhejiang Gongshang University), Muye Gan (Rural Development Institute, corresponding author) |
| Year | 2022 |
| Volume | 19 |
| Issue | 21 |
| Pages | 14166-14166 |
| Publication date | 2022-10-29 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph192114166 |
| PMID | 36361053 |
| OpenAlex | W4307869417 |
| Language | EN |
| Citations received | 4 |
| References cited | 46 |
Evaluating and revealing the spatial differentiations of quality of rural life (QRL) is the basis for formulating rural revitalization planning to promote rural transformation and achieve common prosperity. Taking the Lin'an District of Hangzhou city in China, an economically developed mountainous area, as an example, this study explored the connotation of QRL from the perspective of common prosperity and constructed a QRL evaluation framework involving living, employment, consumption, and leisure aspects. Then, based on multi-sourced data of 270 administrative villages as the assessment unit, we revealed the spatial patterns of QRL and proposed optimization paths to improving QRL. The results showed that (1) differences in the spatial distribution of quality of rural living, employment, consumption, and leisure of Lin'an District were significant, presenting stepped, block clustering, irregularity, and scattered patterns, respectively. (2) The overall QRL was mainly at a low level, clustered spatially, distributed in a strip pattern, and with obvious road directionality. (3) Based on the evaluation results of QRL, we divided the 270 administrative villages into six types of improvement: livability, employment, consumption, leisure, and balanced and lagged development types. This study could provide a scientific cognitive basis for the improvement of QRL and a useful reference for rural revitalization in China
Business · China · Cluster analysis · Connotation · Consumption (sociology · Economic growth · Economics · Geography · Perspective (graphical · Prosperity · Quality (philosophy · Regional science · Social science · Socioeconomics · Sociology · Unit (ring theory · Computer Science · Land Use and Ecosystem Services · Psychology · Rural development and sustainability · Artificial Intelligence
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| Unique citing works | 4 |
|---|---|
| Citations per year | 1,33 |
| Citation span | 2023 - 2024 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 4 |