Tenure insecurity and investment in soil conservation. Evidence from Malawi
Stefania Lovo
No 114, GRI Working Papers from Grantham Research Institute on Climate Change and the Environment
Abstract:
Tenure insecurity can have important consequences for the conservation of natural resources. Land titling is often considered a solution to the problem of weak investment incentives under tenure insecurity. Using a large plot-level dataset from Malawi, this paper shows that land titling alone might not induce greater investment in soil conservation under the existing customary inheritance systems and that a reform of the rental market is in order. The paper focuses on two main sources of tenure insecurity: informal short-term tenancy contracts and customary gender-biased inheritance practices. Both sources of insecurity matter for soil conservation investments and are likely to be unaffected by the introduction of land titling alone. Further evidence suggests that soil erosion can have adverse distributional effects and that tenure insecurity accounts for one-third of the long-term loss in land productivity.
Date: 2013-05
New Economics Papers: this item is included in nep-afr and nep-agr
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.lse.ac.uk/GranthamInstitute/wp-content/ ... servation-malawi.pdf (application/pdf)
Related works:
Journal Article: Tenure Insecurity and Investment in Soil Conservation. Evidence from Malawi (2016)
Working Paper: Tenure insecurity and investment in soil conservation. Evidence from Malawi (2016)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:lsg:lsgwps:wp114
Access Statistics for this paper
More papers in GRI Working Papers from Grantham Research Institute on Climate Change and the Environment Contact information at EDIRC.
Bibliographic data for series maintained by The GRI Administration ().