Literature DB >> 20586786

Using cost-effective targeting to enhance the efficiency of conservation investments in payments for ecosystem services.

Xiaodong Chen1, Frank Lupi, Andrés Viña, Guangming He, Jianguo Liu.   

Abstract

Ecosystem services are being protected and restored worldwide through payments for ecosystem services in which participants are paid to alter their land-management approaches to benefit the environment. The efficiency of such investments depends on the design of the payment scheme. Land features have been used to measure the environmental benefits of and amount of payment for land enrollment in payment for ecosystem services schemes. Household characteristics of program participants, however, may also be important in the targeting of land for enrollment. We used the characteristics of households participating in China's Grain-to-Green program, and features of enrolled land to examine the targeting of land enrollment in that program in Wolong Nature Reserve. We compared levels of environmental benefits that can be obtained through cost-effective targeting of land enrollment for different types of benefits under different payment schemes. The efficiency of investments in a discriminative payment scheme (payments differ according to opportunity costs, i.e., landholders' costs of forgoing alternative uses of land) was substantially higher than in a flat payment scheme (same price paid to all participants). Both optimal targeting and suboptimal targeting of land enrollment for environmental benefits achieved substantially more environmental benefits than random selection of land for enrollment. Our results suggest that cost-effective targeting of land through the use of discriminative conservation payments can substantially improve the efficiency of investments in the Grain-to-Green program and other payment for ecosystem services programs.
© 2010 Society for Conservation Biology.

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Year:  2010        PMID: 20586786     DOI: 10.1111/j.1523-1739.2010.01551.x

Source DB:  PubMed          Journal:  Conserv Biol        ISSN: 0888-8892            Impact factor:   6.560


  8 in total

1.  Agent-based modeling of the effects of social norms on enrollment in payments for ecosystem services.

Authors:  Xiaodong Chen; Frank Lupi; Li An; Ryan Sheely; Andrés Viña; Jianguo Liu
Journal:  Ecol Modell       Date:  2012-03-24       Impact factor: 2.974

2.  Effects of Conservation Policies on Forest Cover Change in Giant Panda Habitat Regions, China.

Authors:  Yu Li; Andrés Viña; Wu Yang; Xiaodong Chen; Jindong Zhang; Zhiyun Ouyang; Zai Liang; Jianguo Liu
Journal:  Land use policy       Date:  2013-07

3.  Feedback effect of crop raiding in payments for ecosystem services.

Authors:  Xiaodong Chen; Qi Zhang; M Nils Peterson; Conghe Song
Journal:  Ambio       Date:  2018-10-15       Impact factor: 5.129

4.  Divergent socioeconomic-ecological outcomes of China's Conversion of Cropland to Forest Program in the subtropical mountainous area and the semi-arid Loess Plateau.

Authors:  Qi Zhang; Ying Wang; Shiqi Tao; Richard E Bilsborrow; Tong Qiu; Chong Liu; Srikanta Sannigrahi; Qirui Li; Conghe Song
Journal:  Ecosyst Serv       Date:  2020-08-12       Impact factor: 5.454

5.  Spatial analysis of ecosystem service relationships to improve targeting of payments for hydrological services.

Authors:  Pierre Mokondoko; Robert H Manson; Taylor H Ricketts; Daniel Geissert
Journal:  PLoS One       Date:  2018-02-20       Impact factor: 3.240

6.  Interventional Impacts of Watershed Ecological Compensation on Regional Economic Differences: Evidence from Xin'an River, China.

Authors:  Bing Yu; Linan Chen
Journal:  Int J Environ Res Public Health       Date:  2020-09-02       Impact factor: 3.390

7.  Identifying spatial priorities for protecting ecosystem services.

Authors:  Gary W Luck; Kai Ma Chan; Carissa J Klien
Journal:  F1000Res       Date:  2012-09-27

8.  Habitat Use and Selection by Giant Pandas.

Authors:  Vanessa Hull; Jindong Zhang; Jinyan Huang; Shiqiang Zhou; Andrés Viña; Ashton Shortridge; Rengui Li; Dian Liu; Weihua Xu; Zhiyun Ouyang; Hemin Zhang; Jianguo Liu
Journal:  PLoS One       Date:  2016-09-14       Impact factor: 3.240

  8 in total

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