Participation in Payments for Ecosystem Services programmes in developing countries: The Chinese Sloping Land Conversion Programme
AbstractThis paper contributes to the limited existing empirical evidence on assessing household participation in Payments for Ecosystem Services (PES) programmes in developing countries. We examine this issue for the case of the Sloping Land Conversion Programme (SLCP) in China, one of the largest PES schemes in the world, using household and village level data. Our analysis examines the determinants of both current and future participation in the SLCP and makes three key contributions. First, we show the importance of incorporating the influence of programme administrators in the observed participation outcome. Secondly, we use a novel latent class approach to account for heterogeneity in the determinants of the household decision over whether to sign up to a PES programme. Thirdly, the empirical analysis focuses on the impact of market imperfections that are prevalent in developing countries. We find significant differences between households with good access to markets and those facing market imperfections.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by University of Cambridge, Department of Land Economics in its series Environmental Economy and Policy Research Working Papers with number 42.2009.
Date of creation: 2009
Date of revision: 2009
Payments for Ecosystem Services; programme participation; latent class model; China ; Sloping Land Conversion Programme; separability.;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-06-10 (All new papers)
- NEP-CNA-2009-06-10 (China)
- NEP-TRA-2009-06-10 (Transition Economics)
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Unai Pascual).
If references are entirely missing, you can add them using this form.