The Impact and Mechanism of the Natural Forest Logging Ban Policy on Rural Residents’ Income: A Case Study of China

The natural forest logging ban policy has substantially influenced rural residents’ production activities, daily lives, and income levels. Drawing on panel data from 30 provinces in China, this study examines both the overall effect of the policy on rural households’ income and the internal transmission mechanisms. The policy is regarded as an external shock, and its impact is identified through a multi-period difference-in-differences model combined with a mediation analysis. The results show three main findings: (1) the policy significantly raised rural households’ total income; the structural analysis indicates that its effects are notably positive on wage income and property income; in contrast, the impacts on operating income and transfer income are not statistically significant; (2) mechanism testing found that the policy significantly improved non-agricultural employment and increased ecological protection investment, indicating that the non-agricultural employment and ecological protection investment are important channels for the national natural forest logging ban policy to increase rural residents’ income; (3) heterogeneity analysis shows that the policy effect is more pronounced in areas with a higher distribution of state-owned forest areas, along with the policy effects being more pronounced in non-carbon trading market pilot areas. Therefore, this article proposes policy recommendations for continuously improving the natural forest protection policy system, ensuring effective employment of rural labor, and building coordinated development of forestry systems between regions.

Authors

Institutions

Publication Details

Journal
Forests
Published
2025-09-04
DOI
https://doi.org/10.3390/f16091413
Primary Topic
Conservation, Biodiversity, and Resource Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact and Mechanism of the Natural Forest Logging Ban Policy on Rural Residents’ Income: A Case Study of China

Yang Liu, Wenmei Liao, Xianghua Zhang, Yuanyuan Peng
Forests
Conservation, Biodiversity, and Resource Management
article

The Impact and Mechanism of the Natural Forest Logging Ban Policy on Rural Residents’ Income: A Case Study of China

Yang Liu, Wenmei Liao, Xianghua Zhang, Yuanyuan Peng
article en

Abstract

The natural forest logging ban policy has substantially influenced rural residents’ production activities, daily lives, and income levels. Drawing on panel data from 30 provinces in China, this study examines both the overall effect of the policy on rural households’ income and the internal transmission mechanisms. The policy is regarded as an external shock, and its impact is identified through a multi-period difference-in-differences model combined with a mediation analysis. The results show three main findings: (1) the policy significantly raised rural households’ total income; the structural analysis indicates that its effects are notably positive on wage income and property income; in contrast, the impacts on operating income and transfer income are not statistically significant; (2) mechanism testing found that the policy significantly improved non-agricultural employment and increased ecological protection investment, indicating that the non-agricultural employment and ecological protection investment are important channels for the national natural forest logging ban policy to increase rural residents’ income; (3) heterogeneity analysis shows that the policy effect is more pronounced in areas with a higher distribution of state-owned forest areas, along with the policy effects being more pronounced in non-carbon trading market pilot areas. Therefore, this article proposes policy recommendations for continuously improving the natural forest protection policy system, ensuring effective employment of rural labor, and building coordinated development of forestry systems between regions.

ForestsVol. 16(9)
Rutgers, The State University of New Jersey (US), Inner Mongolia Agricultural University (CN), Inner Mongolia University of Finance and Economics (CN), Jiangxi Agricultural University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 78%
Conservation, Biodiversity, and Resource Management
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.