Reference : Agricultural Land Conversion Drivers in Northeast Iran: Application of Structural Equ...
Scientific journals : Article
Life sciences : Agriculture & agronomy
http://hdl.handle.net/2268/182627
Agricultural Land Conversion Drivers in Northeast Iran: Application of Structural Equation Model
English
Azadi, Hossein mailto [Université de Liège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Economie et développement rural >]
Barati, Ali Akbar [> >]
Rafiaani, Parisa mailto [> >]
Raufirad, Valiollah [> >]
Zarafshani, Kiumars [> >]
Mamoorian, Mohsen [> >]
Van Passel, Steven [> >]
Lebailly, Philippe mailto [Université de Liège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Economie et développement rural >]
2015
Applied Spatial Analysis and Policy
Springer
Yes (verified by ORBi)
International
1874-463X
1874-4621
[en] Land use policy ; Land use change ; Land fragmentation ; Urban sprawl ; Multi-stakeholder analysis ; Mixed-method
[en] Identifying driving forces behind agricultural land conversion (ALC) remains
one of the most difficult challenges that agricultural and environmental scientists
must continually deal with. The difficulty emerges from the fact that in ALC, multiple
actions and interactions between different factors (i.e., economic, political, environmental,
biophysical, institutional, and cultural) exist and make it difficult to understand
the function of the processes behind the changes. The phenomenon of ALC in different
countries is varied in terms of intensity, trends and drivers. The main goal of this study
was to understand these drivers in Northeast Iran through applying structural equation
model (SEM). Using multi-stage stratified random sampling, 101 executive officers
participated in the study. Data were collected through a structured questionnaire. A
multi-stakeholder analysis and a mixed-method (qualitative and quantitative) approach
were applied. Results revealed that not only from the policy makers’ perspective but
also based on the SEM, "economic", "political", "technological", "social" and "environmental" factors should respectively be the five major drivers of ALC. The
results also showed that among other drivers, "more profitability of non-agriculture
sectors", "excessive rising of land prices", "farmers’ income instability", "land
fragmentation", "urban sprawl" and "inheritance laws" are the main six causes of
ALC. Hence, it can be concluded that policy-makers and planners need to take these
drivers and subsidiaries more into consideration in order to properly respond to ALC.
http://hdl.handle.net/2268/182627
10.1007/s12061-015-9160-4
http://download.springer.com/static/pdf/454/art%253A10.1007%252Fs12061-015-9160-4.pdf?originUrl=http%3A%2F%2Flink.springer.com%2Farticle%2F10.1007%2Fs12061-015-9160-4&token2=exp=1433840181~acl=%2Fstatic%2Fpdf%2F454%2Fart%25253A10.1007%25252Fs12061-015-9160-4.pdf%3ForiginUrl%3Dhttp%253A%252F%252Flink.springer.com%252Farticle%252F10.1007%252Fs12061-015-9160-4*~hmac=df8ca1d47d7e6f80b04281095fe0d9a86814cbd550bbcec74f88842752b09a52

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