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dc.contributor.author
Aravindakshan, Sreejith
dc.contributor.author
Krupnik, Timothy J.
dc.contributor.author
Groot, Jeroen C. J.
dc.contributor.author
Speelman, Erika N.
dc.contributor.author
Amjath Babu, T. S.
dc.contributor.author
Tittonell, Pablo
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dc.date.available
2023-08-16T10:21:58Z
dc.date.issued
2020-01
dc.identifier.citation
Aravindakshan, Sreejith; Krupnik, Timothy J.; Groot, Jeroen C. J.; Speelman, Erika N.; Amjath Babu, T. S.; et al.; Multi-level socioecological drivers of agrarian change: Longitudinal evidence from mixed rice-livestock-aquaculture farming systems of Bangladesh; Elsevier; Agricultural Systems; 177; 1-2020; 1-17
dc.identifier.issn
0308-521X
dc.identifier.uri
http://hdl.handle.net/11336/208445
dc.description.abstract
Coastal systems are facing natural and human-driven change coupled with a rising population. With increasing shifts in socioecological conditions during the past several decades, it is important to understand how socioecological drivers at different hierarchical levels: -micro, -meso, and -macro affect coastal farming systems, which play a crucial role in the livelihoods of coastal dwellers. Mixed rice-livestock-aquaculture farming in Southern Bangladesh exemplifies the rapid change occurring in many of the world's coastal farming systems in response to these drivers. We used panel data observations from the above study area and modeled trajectories of farm typologies, and the impact of multi-level socioecological drivers by a novel approach. Our approach integrates: (1) a well-articulated conceptual frame of change observed using (2) a temporal view of the potential drivers, change process and farm type outcomes, with the twenty years panel data of 502 households that is analyzed by means of (3) multivariate statistics in conjunction with panel data models that operationalize the conceptual frame. Our approach allows (a) estimating dynamic effects over time that typically cannot be estimated in a cross-sectional data set, (b) distinguishing between time-invariant fixed and time dependent random effects of multi-level socioecological drivers, and (c) controlling for omitted variables to a certain extent. Considering farming systems both within and outside of polder embankment systems intended to protect against oceanic water intrusion, we found a gradual shift from heterogeneous, rice-livestock farm types to more homogenous farms with less livestock and more off-farm activities. Micro-level factors including farm plot fragmentation, farmers' experience in cropping, machinery, salinity and soil fertility were influencing changes in farming systems. Meso-level factors including markets, road infrastructure, labor availability, access to extension and land tenure also affect the trajectory of farming systems change. Among macro-level drivers, increasing population density positively and significantly influenced cropping intensity among farms outside polder systems. Within polders, a positive but non-significant trend was observed for the influence of population density on cropping intensity. Our data also indicate negative and significant influence of cyclonic storms on cropping intensity over time in both areas. Our results underscore the importance of accounting for multiple levels of socioecological drivers of change when developing appropriate policy options for sustainable development in South Asia's coastal farming systems.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
BOSERUP
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ENVIRONMENTAL RISK
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INDUCED INTENSIFICATION
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PANEL DATA
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SOCIOECOLOGICAL SYSTEMS
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SOUTH ASIA
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SYSTEMS ANALYSIS
dc.subject.classification
Otras Ciencias Agrícolas
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dc.subject.classification
Otras Ciencias Agrícolas
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dc.subject.classification
CIENCIAS AGRÍCOLAS
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dc.title
Multi-level socioecological drivers of agrarian change: Longitudinal evidence from mixed rice-livestock-aquaculture farming systems of Bangladesh
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-08-15T23:10:08Z
dc.journal.volume
177
dc.journal.pagination
1-17
dc.journal.pais
Países Bajos
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dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Aravindakshan, Sreejith. University of Agriculture Wageningen; Países Bajos
dc.description.fil
Fil: Krupnik, Timothy J.. International Maize And Wheat Improvement Center; Bangladesh
dc.description.fil
Fil: Groot, Jeroen C. J.. University of Agriculture Wageningen; Países Bajos
dc.description.fil
Fil: Speelman, Erika N.. University of Agriculture Wageningen; Países Bajos
dc.description.fil
Fil: Amjath Babu, T. S.. International Maize And Wheat Improvement Center; Bangladesh
dc.description.fil
Fil: Tittonell, Pablo. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
dc.journal.title
Agricultural Systems
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.agsy.2019.102695
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