Evaluation of Water Resource Carrying Capacity in Sichuan Province Based on Principal Component Analysis

This study explores the relationship between water resource carrying capacity and the coordinated development of the water-economy-ecosystem in Sichuan Province in the future. An assessment framework composed of four subsystems with a total of fourteen indicators is constructed, covering nearly fifteen years of data from 2008 to 2022. Principal component analysis is utilized for the analysis, and the results show that the principal components integrate key elements such as economy, efficiency, water resource systems, and population, revealing the importance of these factors in determining water resource carrying capacity. The water consumption per ten thousand GDP and per ten thousand industrial added value in Sichuan Province are significantly lower than the national average level, indicating an overall upward trend in water resource carrying capacity, reflecting Sichuan Province's high level of water resource utilization efficiency, which far exceeds the national average.

Authors

Institutions

Publication Details

Journal
International Journal of Global Economics and Management
Published
2025-05-29
DOI
https://doi.org/10.62051/ijgem.v7n1.17
Primary Topic
Water Resources and Sustainability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of Water Resource Carrying Capacity in Sichuan Province Based on Principal Component Analysis

Xiao Han, S. S. Yu
International Journal of Global Economics and Management
Water Resources and Sustainability
article

Evaluation of Water Resource Carrying Capacity in Sichuan Province Based on Principal Component Analysis

Xiao Han, S. S. Yu
article en

Abstract

This study explores the relationship between water resource carrying capacity and the coordinated development of the water-economy-ecosystem in Sichuan Province in the future. An assessment framework composed of four subsystems with a total of fourteen indicators is constructed, covering nearly fifteen years of data from 2008 to 2022. Principal component analysis is utilized for the analysis, and the results show that the principal components integrate key elements such as economy, efficiency, water resource systems, and population, revealing the importance of these factors in determining water resource carrying capacity. The water consumption per ten thousand GDP and per ten thousand industrial added value in Sichuan Province are significantly lower than the national average level, indicating an overall upward trend in water resource carrying capacity, reflecting Sichuan Province's high level of water resource utilization efficiency, which far exceeds the national average.

International Journal of Global Economics and ManagementVol. 7(1)
Southwest Petroleum University (CN)
Openalex Percentile: Top 85%
Water Resources and Sustainability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.