assessing farm level viability andrew barnes, shailesh shrestha, steven thomson, bouda ahmadi (sruc...

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Assessing Farm Level Viability Andrew Barnes, Shailesh Shrestha, Steven Thomson, Bouda Ahmadi (SRUC Policy Analysis Team)

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Page 1: Assessing Farm Level Viability Andrew Barnes, Shailesh Shrestha, Steven Thomson, Bouda Ahmadi (SRUC Policy Analysis Team)

Assessing Farm Level Viability

Andrew Barnes, Shailesh Shrestha, Steven Thomson, Bouda Ahmadi (SRUC Policy Analysis Team)

Page 2: Assessing Farm Level Viability Andrew Barnes, Shailesh Shrestha, Steven Thomson, Bouda Ahmadi (SRUC Policy Analysis Team)

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Farm Level Viability

• Sustainable development of the industry relies of farms being financially viable

• CAP reform and local policy is informed by derivation of fragility indicators across both biophysical and financial vectors

• Aim: to identify farm viability over long time period to understand change and drivers of change

Page 3: Assessing Farm Level Viability Andrew Barnes, Shailesh Shrestha, Steven Thomson, Bouda Ahmadi (SRUC Policy Analysis Team)

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Data Used

• Farm Account Survey– Unbalanced Panel (2000 – 2011)– Average of 461 (+/- 23) farms per year– Biases involved (Minimal size to entry into the FAS,

voluntary, though mostly maintain presence over a number of years).

– Though dropped farms with less than 3 years continuous entry in order reflect viability over time.

Page 4: Assessing Farm Level Viability Andrew Barnes, Shailesh Shrestha, Steven Thomson, Bouda Ahmadi (SRUC Policy Analysis Team)

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Short term and Long-term Viability

• Short-Term Viability: Cash Income/hrit ≥ Min AvWaget

• Long-Term Viability : Net Farm Income/hrit3 ≥ Min AvWaget3

[three year moving average]

-100

01

00

200

300

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011

NFI CINCAgMinWg

Page 5: Assessing Farm Level Viability Andrew Barnes, Shailesh Shrestha, Steven Thomson, Bouda Ahmadi (SRUC Policy Analysis Team)

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Three States of Viability (%)

Page 6: Assessing Farm Level Viability Andrew Barnes, Shailesh Shrestha, Steven Thomson, Bouda Ahmadi (SRUC Policy Analysis Team)

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Markov transition probabilities from one state to a different state over time

ST Viable Viable Non-Viable

LT Viable Non-Viable Non-Viable

ST LT Previous State 1 2 3

Viable Viable 1 0.86 0.10 0.04

Viable Non-Viable 2 0.29 0.55 0.16

Non-Viable Non-Viable 3 0.26 0.25 0.50

Markov chain

Transition Probabilities

Page 7: Assessing Farm Level Viability Andrew Barnes, Shailesh Shrestha, Steven Thomson, Bouda Ahmadi (SRUC Policy Analysis Team)

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Explaining Change

RRR SigShort-term non-viable/ ftypeAlt 1.09 **

Long-term viable size 0.58 ***tenure 0.79 ***

hnv 1.13 *t 0.95 ***

Short-term non-viable/ ftypeAlt 1.23 ***Long-term non-viable size 0.35 ***

tenure 0.96 **hnv 1.40 ***

t 0.99 -

Relative Risk Ratios (RRR) measured against viable groupNote: <1 means more likely to be in viable group

Short-term viable / Long term non-viable

Page 8: Assessing Farm Level Viability Andrew Barnes, Shailesh Shrestha, Steven Thomson, Bouda Ahmadi (SRUC Policy Analysis Team)

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Survival estimates by farm size

0.0

00

.25

0.5

00

.75

1.0

0

0 5 10 15analysis time

size = 1 size = 2size = 3

Kaplan-Meier survival estimates

Page 9: Assessing Farm Level Viability Andrew Barnes, Shailesh Shrestha, Steven Thomson, Bouda Ahmadi (SRUC Policy Analysis Team)

99

Survival estimates by LFA status

0.00

0.25

0.50

0.75

1.00

0 5 10 15analysis time

lfabin = 0 lfabin = 1

Kaplan-Meier survival estimates

Page 10: Assessing Farm Level Viability Andrew Barnes, Shailesh Shrestha, Steven Thomson, Bouda Ahmadi (SRUC Policy Analysis Team)

1010

Further Work

• Adjusting ST and LT viability indicators for CAP reform scenarios (build up from FAS data)

• Inform CAP level modelling work (farm level models)

• Linking with the Census to regionalise assessments of viability