Assessing the opportunity costs of Chinese herder compliance with a payment for environmental services scheme

Karl Behrendt, Colin Brown, Guanghua Qiao and Bao Zhang

Ecological Economics, 2022, vol. 193, issue C

Abstract: Addressing serious grassland degradation without exacerbating already low herder incomes is a major challenge for the Chinese government. In response, the Grassland Ecosystem Subsidy and Award Scheme (GESAS) was introduced in 2011 where herders receive payments if they comply with specified stocking rates set at more sustainable levels. However, compliance with GESAS, as well as low herder incomes in some years, is an ongoing issue. Using a stochastic, dynamic bioeconomic model of representative herder households in the desert steppe grasslands of Inner Mongolia Autonomous Region, the opportunity costs for herders in meeting specified stocking rates under different states of nature are identified and compared with GESAS payments. In addition, the impacts on productivity and environmental services provided by herders operating within or outside of GESAS are identified. The results highlight states of nature under which no incentivising payments are needed for compliance or when the opportunity costs greatly exceed the GESAS payments, thereby increasing the risk of non-compliance. The study highlights the need to unbundle the environmental incentive and welfare components of GESAS if the twin objectives are to be achieved, and the need to define and understand the distribution of possible outcomes in designing grassland and ecocompensation policies.

Keywords: PES schemes; Stochastic simulation; Dynamic bioeconomic grasslands model; Household income (search for similar items in EconPapers)
JEL-codes: Q58 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolec:v:193:y:2022:i:c:s0921800921003724

DOI: 10.1016/j.ecolecon.2021.107313

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