Heterogeneous and interactive effects of payments for ecosystem services on household income across giant panda nature reserves.

Heliyon

Center for Systems Integration and Sustainability, Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI, 48823, USA.

Published: August 2024

AI Article Synopsis

  • Multiple Payments for Ecosystem Services (PES) programs, including the NFCP and GTGP in China, show varied impacts on household income, but the reasons for this inconsistency are not well understood.
  • A study using survey data from 14 giant panda natural reserves found that the effects of these PES programs on income are influenced by spatial factors and interact positively with local livelihood activities, such as tourism.
  • The research emphasizes the need to consider local economic conditions and the interplay between policies and these conditions when designing PES programs for better outcomes globally.

Article Abstract

Numerous Payments for Ecosystem Services (PES) programs have been implemented simultaneously around the world but their outcomes in the literature are not consistent and their interactive effects remain understudied. The Natural Forest Conservation Program (NFCP) and Grain to Green Program (GTGP) are two largest PES programs in the world, and many studies have evaluated their effects on household income. However, the identified effects often varied across different studies and the factors explaining this variation are poorly understood. This study used linear regression and geographic detector analysis, based on questionnaire survey data from 14 giant panda natural reserves (NRs) in southwestern China, to evaluate the effects of the NFCP and GTGP on household income and the factors which moderate these effects. The results revealed that the effects of two PES programs on household income were spatially heterogeneous and enhanced by each other and livelihood activities, suggesting a synergistic interaction between policies and livelihood activities, particularly tourism. This study also found that livelihoods activities (e.g., labor migration and tourism), household capital (i.e., house area and farmland area) and demographic factors (i.e., number of labor and non-labor members), exhibit spatial heterogeneity in their effects on household income across NRs. These findings underscore the importance of considering local socioeconomic conditions and the interaction between policy and socio-economic conditions in PES program design to achieve desired outcomes, providing insights for policymakers and practitioners worldwide.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11320217PMC
http://dx.doi.org/10.1016/j.heliyon.2024.e34866DOI Listing

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