Impact of the Sloping Land Conversion Program on Rural Household Income in China

As the largest Payment for Environmental Services (PESs) program in China, the Sloping Land Conversion Program (SLCP) has exerted a profound impact on both the ecosystems and rural households’ livelihoods. However, the direct impact and indirect impact mechanism of the SLCP on income remain poorly understood. To bridge this research gap, a unique dataset was used in this study, comprising more than 1200 sampled rural households from 1995 to 2016. An estimation was conducted regarding the direct impact of the SLCP and its subsidy changes in different implementation stages on rural household income, as well as the indirect impact mechanism of the SLCP on income. Our results provided twofold findings. First, participation in the first round of the SLCP increased rural household’s income by 4.63% compared with non-participation. However, in the transition period, the SLCP had no significant effect on the total income of rural households. In the subsidy extension and subsidy expiration stages, participation in the SLCP increased rural household total income by 12.53% and 11.77%, respectively. Second, the variables, including farmland area, forestland area, land-based production expenditure, land-based labor input, and off-farm labor input, had significant mediation effects on the impact of the SLCP on rural household income. To improve the implementation of the SLCP, policymakers could pay attention to more integrative approaches, such as forestland transfer, reduction in forestland fragmentation, and promotion of off-farm job opportunities.

Authors

Institutions

Publication Details

Journal
Forests
Published
2024-11-24
DOI
https://doi.org/10.3390/f15122071
Citations
1
Primary Topic
Conservation, Biodiversity, and Resource Management
Type
article
Field-Weighted Citation Impact
0.28

Funders

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

Impact of the Sloping Land Conversion Program on Rural Household Income in China

Lingchao Li, Yue Lu, Can Liu, Hao Liu
1 citations
Forests
Conservation, Biodiversity, and Resource Management
0.28
article

Impact of the Sloping Land Conversion Program on Rural Household Income in China

Lingchao Li, Yue Lu, Can Liu, Hao Liu
article en
1 citations

Abstract

As the largest Payment for Environmental Services (PESs) program in China, the Sloping Land Conversion Program (SLCP) has exerted a profound impact on both the ecosystems and rural households’ livelihoods. However, the direct impact and indirect impact mechanism of the SLCP on income remain poorly understood. To bridge this research gap, a unique dataset was used in this study, comprising more than 1200 sampled rural households from 1995 to 2016. An estimation was conducted regarding the direct impact of the SLCP and its subsidy changes in different implementation stages on rural household income, as well as the indirect impact mechanism of the SLCP on income. Our results provided twofold findings. First, participation in the first round of the SLCP increased rural household’s income by 4.63% compared with non-participation. However, in the transition period, the SLCP had no significant effect on the total income of rural households. In the subsidy extension and subsidy expiration stages, participation in the SLCP increased rural household total income by 12.53% and 11.77%, respectively. Second, the variables, including farmland area, forestland area, land-based production expenditure, land-based labor input, and off-farm labor input, had significant mediation effects on the impact of the SLCP on rural household income. To improve the implementation of the SLCP, policymakers could pay attention to more integrative approaches, such as forestland transfer, reduction in forestland fragmentation, and promotion of off-farm job opportunities.

ForestsVol. 15(12)
Beijing Forestry University (CN), Development Research Center (CN)
Fundamental Research Funds for the Central Universities
No poverty
Openalex Percentile: Top 40%
Conservation, Biodiversity, and Resource Management
0.28
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.