4.7 Article

Role of social networks in building household livelihood resilience under payments for ecosystem services programs in a poor rural community in China

期刊

JOURNAL OF RURAL STUDIES
卷 86, 期 -, 页码 208-225

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jrurstud.2021.05.017

关键词

Socio-ecological system (SES); Household livelihood resilience; Payments for ecosystem services (PES); Social networks; Agent-based modeling (ABM)

资金

  1. National Natural Science Foundation of China [41901213, 41901212]
  2. Natural Science Foundation of Hubei Province [2020CFB856]
  3. Philosophy and Social Sciences Foundation of the Department of Education of Hubei Province [20G017]
  4. Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) [26420190065, 26420180052]
  5. National Science Foundation [DEB-1313756]
  6. University of North Carolina at Chapel Hill
  7. Carolina Population Center
  8. NIH/NICHD population center grant [P2C HD050924]
  9. Microsoft AI for Earth
  10. American Association of Geographers (AAG)

向作者/读者索取更多资源

This paper explores the impacts of PES programs on a traditionally poverty-stricken area in China, finding that social networks play a crucial role in building household resilience, although their influence diminishes over time with rural-to-urban migration. Additionally, policymakers should focus not only on environmental conservation, but also on socio-cultural preservation to strengthen the identity, structure, and function within SESs for rural development in China.
Payments for ecosystem services (PES) programs may bring unintended consequences to the coupled socio-ecological system (SES) and incur unexpected feedbacks between social and ecological systems. This paper explores how the SES responds to PES intervention and investigates the role played by social networks in building resilience in a traditionally poverty-stricken area of China. The structure of social networks is measured through the social network analysis with degree and betweenness. Then, we develop an agent-based model to examine how social networks function to affect household livelihood resilience. The model captures feedbacks between PES intervention, social networks, household livelihood decisions, and environmental changes. Results show that the livelihood resilience of rural households is expected to decline during 2013-2030 within the current PES scheme. Social networks impose significant positive impacts on resilience building. However, their effects decay over time due to the fading structure and function of social networks along with massive rural-to-urban migration. Besides environmental conservation, policy-makers should take measures for socio-cultural conservation and preservation, reinforcing the identity, structure, and function within SESs for rural development in China.

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