Sustaining Urban Green Growth: Evaluating Ecological Efficiency and Resource-Use Drivers in Beijing’s Plains Afforestation Initiative

Efficiency assessment is a pivotal instrument in the pursuit of sustainable operations. It is imperative to evaluate government-funded afforestation initiatives to ensure the optimal utilisation of resources, thereby enhancing sustainability. In this study, a framework for measuring afforestation efficiency at the sub-compartment scale was established based on a Bootstrap-modified Data Envelopment Analysis (DEA) model. The empirical study included 48 afforestation sub-compartments from six districts involved in the Beijing Plains Afforestation Project. The results of the study indicate that the efficiency of the afforestation sub-compartment has much room for improvement and significant individual differences. The mean scores for comprehensive efficiency, pure technical efficiency, and scale efficiency of the sample sub-compartments were 0.646, 0.664, and 0.973, respectively. Compared to the pure technical efficiency, the scale efficiency is higher. Notably, prioritising native or climate-resilient species, adopting long-term ecological maintenance protocols, and fostering financially self-sustaining mechanisms were identified as key drivers for boosting efficiency. These findings underscore the need to embed sustainability principles—including resource optimisation and economic viability—into afforestation planning and governance to strengthen ecological restoration resilience and long-term project continuity.

Authors

Institutions

Publication Details

Journal
Sustainability
Published
2025-03-19
DOI
https://doi.org/10.3390/su17062722
Citations
2
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
2.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sustaining Urban Green Growth: Evaluating Ecological Efficiency and Resource-Use Drivers in Beijing’s Plains Afforestation Initiative

Jiang Jun, Beibei Chen, Yuanhao Wu
2 citations
Sustainability
Land Use and Ecosystem Services
2.21
article

Sustaining Urban Green Growth: Evaluating Ecological Efficiency and Resource-Use Drivers in Beijing’s Plains Afforestation Initiative

Jiang Jun, Beibei Chen, Yuanhao Wu
article en
2 citations

Abstract

Efficiency assessment is a pivotal instrument in the pursuit of sustainable operations. It is imperative to evaluate government-funded afforestation initiatives to ensure the optimal utilisation of resources, thereby enhancing sustainability. In this study, a framework for measuring afforestation efficiency at the sub-compartment scale was established based on a Bootstrap-modified Data Envelopment Analysis (DEA) model. The empirical study included 48 afforestation sub-compartments from six districts involved in the Beijing Plains Afforestation Project. The results of the study indicate that the efficiency of the afforestation sub-compartment has much room for improvement and significant individual differences. The mean scores for comprehensive efficiency, pure technical efficiency, and scale efficiency of the sample sub-compartments were 0.646, 0.664, and 0.973, respectively. Compared to the pure technical efficiency, the scale efficiency is higher. Notably, prioritising native or climate-resilient species, adopting long-term ecological maintenance protocols, and fostering financially self-sustaining mechanisms were identified as key drivers for boosting efficiency. These findings underscore the need to embed sustainability principles—including resource optimisation and economic viability—into afforestation planning and governance to strengthen ecological restoration resilience and long-term project continuity.

SustainabilityVol. 17(6)
Beijing Forestry University (CN), Renmin University of China (CN)
Openalex Percentile: Top 15%
Land Use and Ecosystem Services
2.21
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.