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Related Experiment Video

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Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

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Measuring green development level at a regional scale: framework, model, and application.

Xia Pan¹, Jianguo Li², Jing Wei³

¹School of Geography, Geomatics, and Planning, Jiangsu Normal University, Xuzhou, 221116, Jiangsu, China.

Environmental Monitoring and Assessment

|April 7, 2022

Summary

This study introduces a reliable model for measuring regional green development, revealing spatial variations and temporal shifts in Jiangsu Province. Findings highlight the need for coordinated development to balance economic growth with environmental and social factors.

Keywords:

Green development level Jiangsu Province Measurement model Spatiotemporal characteristics “Three-circle” conceptual framework

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Last Updated: Sep 27, 2025

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Area of Science:

Environmental Science
Regional Development Studies
Spatio-temporal Analysis

Background:

Assessing regional green development is crucial for sustainable growth.
Existing measurement models may lack reliability or comprehensive scope.
The "three-circle" conceptual framework offers a holistic approach to green development.

Purpose of the Study:

To propose and construct a novel, reliable model for measuring regional green development levels.
To analyze the spatial-temporal characteristics and dynamics of green development in Jiangsu Province from 2000 to 2020.
To compare the proposed model's reliability against Principal Component Analysis and the Entropy Weight Method.

Main Methods:

Development of a novel green development measurement model based on the "three-circle" conceptual framework.
Utilizing an analytical hierarchy process (AHP) for model construction and reliability assessment.
Employing a multi-source dataset at the grid-cell level for spatial-temporal analysis in Jiangsu Province.

Main Results:

The AHP-based model demonstrated higher reliability than Principal Component Analysis and the Entropy Weight Method.
Average green development score in Jiangsu was approximately 0.53, with higher levels in eastern coastal areas and lower levels in southwestern regions.
Green development levels ranked: Middle Jiangsu > Southern Jiangsu > Northern Jiangsu, with the gravity center shifting northward over time.

Conclusions:

The proposed model offers a reliable tool for assessing regional green development.
Jiangsu Province exhibits distinct spatial patterns and temporal dynamics in green development, necessitating targeted strategies.
Future efforts should prioritize coordinated regional development and the integration of social and environmental considerations with economic growth.