Multilevel analysis of factors affecting participants' land reconversion willingness after the Grain for Green Program

Understanding the postprogram land use plans of participants is necessary for the sustainability of the conservation achievements from payments for ecosystem services (PES) programs. Previous studies have analyzed many individual factors affecting participants' reconversion plans after PES programs. However, whether the regional ecosystem services changes caused by PES programs affect reconversion willingness remains elusive. Here, we used the multilevel linear model to determine the effects of regional ecosystem services changes and individual characteristics on participants' land reconversion willingness after the Grain for Green Program (GFGP) in the Yanhe watershed of the Loess Plateau. We found that household income, ecological awareness, and employment changes negatively affected reconversion willingness, while nonfarm employment positively affected it at the individual level. At the regional level, the grain production and water yield changes could influence the reconversion willingness of respondents with different individual characteristics. With improved understanding of the factors affecting reconversion willingness, several suggestions to improve the sustainability of the GFGP were proposed. Our study provides a template for analyzing the multilevel factors that affect the sustainability of other PES programs.

Automated summary

Understanding the postprogram land use plans of participants is crucial for the sustainability of conservation achievements. Individual factors like household income, ecological awareness, and employment changes negatively impacted reconversion willingness, while nonfarm employment had a positive effect. Regional changes in grain production and water yield also influenced participants' reconversion willingness based on individual characteristics. Suggestions for improving the sustainability of the Grain for Green Program were proposed based on these findings.