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Daniel Hill
  • About
  • Research
  • Curriculum Vitae
  • Projects
    • Inclusive Coffee Value Chains
    • IndoMod Value Chains
    • KopiMod
    • Modelling farmer resilience to rainfall shocks in NSW
Daniel Hill
  • About
  • Research
  • Curriculum Vitae
  • Projects
    • Inclusive Coffee Value Chains
    • IndoMod Value Chains
    • KopiMod
    • Modelling farmer resilience to rainfall shocks in NSW
  • More
    • About
    • Research
    • Curriculum Vitae
    • Projects
      • Inclusive Coffee Value Chains
      • IndoMod Value Chains
      • KopiMod
      • Modelling farmer resilience to rainfall shocks in NSW

Inclusive Coffee Value Chains  

Coffee is the important crop for household income in the Kapchorwa District in Uganda. Specialty value chains for coffee have been extensively promoted as a way to improve farmer welfare through higher incomes, guaranteed purchases and provision of inputs and extension. 

The Inclusive Coffee Value Chains project sought to understand the extent in which these speciality value chains are inclusive, to understand whether factors such as intrahousehold claims and gendered norms affect participation outcomes, and how social policy and value chain payment methods could help improve inclusion and welfare outcomes for smallholder coffee producers.

IndoMod Value Chains Agent-Based model

IndoMod – Value Chains is an agent based model developed as part of the Agricultural Policy Research to Support Natural Resource Management in Indonesia’s Upland Landscapes project, funded by the Australian Centre for International Agricultural Research (ACIAR project ADP/2015/043). 

The model simulates smallholder and buyer interactions for commodity and value chains interventions, and allows the analyst to understand aggregate land use decisions for the peri-urban uplands of Bandung, Indonesia. The model can be found here, and more information can be found here. 

KopiMod

KopiMod, is an excel based decision-making tool and has been developed as part of the Agricultural Policy Research to Support Natural Resource Management in Indonesia’s Upland Landscapes project, funded by the Australian Centre for International Agricultural Research (ACIAR project ADP/2015/043).

Kopimod can be found here.

Modelling farmer resilience to rainfall shocks in NSW

As part of the ARC linkage grant Innovations in Agricultural Greenhouse Gas Management and Policy, we have modelled the heterogeneity in revenue resilience to rainfall shocks amongst NSW livestock businesses. The project has access of over 20 years of detailed farm business tax data from the Australian Bureau of Statistics to understand how short- and longer-term rainfall changes impact input, stocking rates, and profits.

More details can be found here, and access to the Shiny app can be found here. 

dhill41@une.edu.au
(+61) 450 356 049
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