TY - CONF
T1 - Implementing natural capital credit risk assessment in agricultural lending
AU - Ascui, Francisco
AU - Cojoianu, Theodor
PY - 2018/11/22
Y1 - 2018/11/22
N2 - Agriculture has critical impacts and dependencies on natural capital, and agricultural lenders are therefore exposed to natural capital credit risk through their loans to farmers. Currently, however, lenders lack any consistent methodology for assessing natural capital credit risk in agriculture, and are challenged by the fact that the relevant risks vary considerably by agricultural sector and geography. This paper develops a natural capital credit risk assessment methodology based on a bottom-up review of the risks associated with natural capital impacts and dependencies for Australian beef cattle farming. It demonstrates that implementing natural capital credit risk assessment is feasible in agricultural lending, using a combination of quantitative and qualitative inputs. Implementation challenges include the complexity and interconnectedness of natural capital processes, data availability and cost, spatial data analytical capacity and the need for transformational change both within lending organisations and across the banking sector.
AB - Agriculture has critical impacts and dependencies on natural capital, and agricultural lenders are therefore exposed to natural capital credit risk through their loans to farmers. Currently, however, lenders lack any consistent methodology for assessing natural capital credit risk in agriculture, and are challenged by the fact that the relevant risks vary considerably by agricultural sector and geography. This paper develops a natural capital credit risk assessment methodology based on a bottom-up review of the risks associated with natural capital impacts and dependencies for Australian beef cattle farming. It demonstrates that implementing natural capital credit risk assessment is feasible in agricultural lending, using a combination of quantitative and qualitative inputs. Implementation challenges include the complexity and interconnectedness of natural capital processes, data availability and cost, spatial data analytical capacity and the need for transformational change both within lending organisations and across the banking sector.
KW - natural capital
KW - credit risk assessment
KW - environmental credit risk
KW - agricultural lending
KW - beef cattle farming
KW - Australia
UR - https://www.emerald.com/insight/publication/issn/0114-0582
M3 - Abstract
T2 - 17th Australasian Centre for Social and Environmental Accounting Research (A-CSEAR) Conference
Y2 - 5 December 2018 through 7 December 2018
ER -