Political economy of planned relocation: A model of action and inaction in government responses
dc.contributor.author | Mortreux, C | |
dc.contributor.author | Safra de Campos, R | |
dc.contributor.author | Adger, WN | |
dc.contributor.author | Ghosh, T | |
dc.contributor.author | Das, S | |
dc.contributor.author | Adams, H | |
dc.contributor.author | Hazra, S | |
dc.date.accessioned | 2019-04-26T13:03:02Z | |
dc.date.issued | 2018-04-09 | |
dc.description.abstract | Planned relocation has been shown to have significant impacts on the livelihoods and wellbeing of people and communities, whether the resettlement process is inclusive or coercive. For states, planned relocation represents risks to those communities but also to government investments and political legitimacy. Evaluations of relocations commonly focus on the risks and benefits of government interventions while overlooking the consequences of not intervening. Here we develop a conceptual framework to examine the factors that influence government decision-making about whether or not to undertake planned relocation of populations in the context of environmental change. The study examines planned relocation decisions and non-decisions by government agencies in West Bengal in India for communities seeking relocation due to coastal flooding. It focuses on three localities facing river erosion losing significant land areas in small islands and communities where populations recognize the need for public intervention, but where there has been a diversity of responses from the state authorities. Data are derived from interviews with key respondents involved in planning and implementing relocation and with residents affected by those government decisions (n = 26). These data show that government action is explained by a combination of risk aversion within political systems to avoid perceived negative consequences, and a lack of government accountability. The empirical cases demonstrate the uneven application of action and inaction and the consequent uneven distribution of potential outcomes on populations. The study suggests that while there may be a growing demand for planned relocation in places affected by environmental change, its implementation is likely to be uneven, with profound socioeconomic implications for those living in such localities. | en_GB |
dc.description.sponsorship | International Development Research Centre | en_GB |
dc.identifier.citation | Vol. 50, pp. 123 - 132 | en_GB |
dc.identifier.doi | 10.1016/j.gloenvcha.2018.03.008 | |
dc.identifier.grantnumber | 12666/04 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/36910 | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier | en_GB |
dc.rights | © 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/) | en_GB |
dc.subject | Planned relocation | en_GB |
dc.subject | Resettlement | en_GB |
dc.subject | Climate change | en_GB |
dc.subject | Political economy | en_GB |
dc.subject | Power | en_GB |
dc.subject | Migration | en_GB |
dc.subject | India | en_GB |
dc.title | Political economy of planned relocation: A model of action and inaction in government responses | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2019-04-26T13:03:02Z | |
dc.identifier.issn | 0959-3780 | |
dc.description | This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record. | en_GB |
dc.identifier.journal | Global Environmental Change | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_GB |
dcterms.dateAccepted | 2019-03-28 | |
exeter.funder | ::International Development Research Centre | en_GB |
rioxxterms.version | AM | en_GB |
rioxxterms.licenseref.startdate | 2018-03-28 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2019-04-26T13:01:19Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2019-04-26T13:03:05Z | |
refterms.panel | C | en_GB |
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Except where otherwise noted, this item's licence is described as © 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/)