[ skip to content ]

Relaxing rural constraints: a 'win-win' policy for poverty and environment in China?

Groom, Benjamin and Grosjean, Pauline and Kontoleon, Andreas and Swanson, Timothy and Zhang, Shiqiu (2009) 'Relaxing rural constraints: a 'win-win' policy for poverty and environment in China?' Oxford Economic Papers. pp. 132-156.

Full text not available from this repository.
Alternative Location: http://oep.oxfordjournals.org/

Abstract

The link between institutional and market failures, rural poverty and environmental degradation suggests a ‘win-win’ policy intervention: relax local ‘constraints’ and achieve poverty alleviation and environmental goals. We evaluate the ability of the Sloping Lands Conversion Programme (SLCP) in China, a reforestation payments programme, to relax constraints on off-farm labour markets and achieve these dual objectives. Our model of the agricultural household allows for heterogeneous exposure to constraints and impacts. The model predicts that the impact of the SLCP on off-farm labour supply will be larger for constrained households if constraints are relaxed. To test the predictions we combine a switching regression with difference in differences. Applied to panel data, this technique allows identification of the heterogeneous impact of the SLCP on constrained and unconstrained households. Our results identify some support for the ‘win-win’ hypothesis in the case of the SLCP, and how the targeting of the programme can be improved.

Item Type: Journal Articles
SOAS Departments & Centres: Faculty of Law and Social Sciences > Department of Economics
ISSN: 0030-7653
DOI (Digital Object Identifier): 10.1093/oep/gpp021
Depositing User: Benjamin Groom
Date Deposited: 14 Sep 2009 09:19
URI: http://eprints.soas.ac.uk/id/eprint/7732

Statistics

Download activity - last 12 months
Downloads since deposit
0Downloads
204Hits
Accesses by country - last 12 months
Accesses by referrer - last 12 months

Research Mentions and Reach

Additional statistics for this record are available via IRStats2

Repository staff only

Edit Item Edit Item