Research on a Multidimensional Dynamic Environmental Assessment: Based on the PSR Analysis Framework and Bootstrap-DEA Model, in the Yellow River Basin, China

Jiaxin Hao (), Yan Zhang and Lihong Guo
Additional contact information
Jiaxin Hao: School of Economics and Management, Northwest University, Xi’an 710127, China
Yan Zhang: School of Economics and Management, Northwest University, Xi’an 710127, China
Lihong Guo: School of Economics and Management, Northwest University, Xi’an 710127, China

Land, 2024, vol. 13, issue 12, 1-25

Abstract: An environmental assessment is a complex and interrelated entity. A multidimensional and dynamic environmental assessment can directly reflect the effectiveness and capacity of the ecological governance system. Assessing the factors influencing the resource–environment coupling efficiency in the Yellow River Basin is crucial for advancing environmental management and regulation, enhancing public participation and transparency, as well as fostering international exchange and cooperation. This study uses the PSR analysis framework and the Bootstrap-DEA model to measure the resource–environment coupling efficiency. It employs spatial autocorrelation, kernel density estimation, Dagum Gini coefficient analysis, σ-convergence, and spatial beta convergence methods to explore the multi-level spatial pattern and convergence trend of the resource–environment coupling efficiency. The findings indicate that overall resource–environment coupling efficiency exhibits minimal temporal variation characterized by a hierarchy of upstream > downstream > middle reaches, alongside a spatial differentiation trend marked by small agglomeration coupled with significant dispersion. Additionally, regional disparities reveal a distribution pattern of downstream > middle reaches > upstream. Notably, while there are no σ-convergence characteristics, evidence supporting spatial β-convergence suggests that these efficiencies will converge toward a steady-state level over time.

Keywords: PSR analysis framework; bootstrap-DEA model; resource–environment coupling efficiency; spatial autocorrelation; kernel density; Dagum Gini coefficient; spatial β-convergence (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2073-445X/13/12/2063/pdf (application/pdf)
https://www.mdpi.com/2073-445X/13/12/2063/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:13:y:2024:i:12:p:2063-:d:1534388

Access Statistics for this article

Land is currently edited by Ms. Carol Ma

More articles in Land from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().