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Reducing the cost of complexity for greater
farming system change


Rick Llewellyn
CSIRO, Waite Campus
Increasing value of convenience

• Trends in farm businesses and management


• Implications for agricultural innovation and technologies
     • Value of convenience
     • Cost of complexity




• Challenge for R&D
     • Shift in drivers of relative advantage
     • Potential for innovation-advisor synergy
     • Expanding research role in innovation development process
Farm business trends
            Increasing farm size
         Less managers per hectare
          Greater land use intensity
        More management demands

Less available labour & management attention
Management constraints affecting farm
 productivity
- Management constraints a major factor limiting farm
 productivity growth and technical efficiency

- Management constraints leading to widening gap in
 farm efficiency
                            (ABARE, 2010; Hughes et al., 2011)


Increasing research recognition of complexity and
  labour constraints in farming systems
                               (Kingwell 2011; Doole et al 2009)

 Lucerne increases whole farm profitability by 3% but increases
                   management time by 9%
Examples from Australian crop-livestock farming

                    No-shear sheep
                    (or no sheep)




                    Autosteer/ GPS Guidance
Convenience in a bag:
Herbicide tolerant soybean, US


                                       Non-
                                   pecuniary
                                   embodied
                                    benefits:
                                   simplicity;
                                    flexibility

                                 Piggot and Marra 2008
Embodied innovations

Embodied innovations:
The benefits are obtained relatively simply through its direct use.
Benefits can be attributed simply and directly
(e.g. new disease resistant crop; autosteer)


Non-embodied innovations:
Usually information-intensive. Ongoing decisions and management
 are needed to benefit from the technology

Require higher levels of management capacity to gain full value -
  skills, education, advisory support
(e.g. monitoring tools; variable rate technology; soil tests)
RR Soybean: the growing value of convenience

                                                        • Evidence that growers
                                                          become accustomed to
                                                          convenience

                                                        • More inelastic demand

                                                        • Willing to pay higher prices
                                                          for embodied convenience

                                                        • Less willing to shift away
                                                          from embodied convenience

                                                        • Shifts in farm labour
                                                          allocation; IWM reluctance


Piggot and Marra 2008 +Uematsu et al 2010; Fernande z-Cornejo et al 2005.
No-till adoption in Australian cropping regions

                            100%
                            90%
                            80%
                            70%
       % no-till adoption




                            60%
                            50%
                            40%
                            30%
                            20%
                            10%
                             0%
                               74
                               76
                               78
                               80
                               82
                               84
                               86
                               88
                               90
                               92
                               94
                               96
                               98
                               00
                               02
                               04
                               06
                               08
                             19
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                             19
                             19
                             19
                             19
                             19
                             19
                             19
                             20
                             20
                             20
                             20
                             20
                                   WA Central / Eastern Wheatbelt   WA Midlands
Llewellyn & D’Emden 2010
              WA Northern Wheatbelt                                 WA SE Central Wheatbelt
No-till adoption in Australian cropping regions

                          100%
                          90%
                          80%
                          70%
     % no-till adoption




                          60%
                          50%
                          40%
                          30%
                          20%
                          10%
                           0%
                             74
                             76
                             78
                             80
                             82
                             84
                             86
                             88
                             90
                             92
                             94
                             96
                             98
                             00
                             02
                             04
                             06
                             08
                           19
                           19
                           19
                           19
                           19
                           19
                           19
                           19
                           19
                           19
                           19
                           19
                           19
                           20
                           20
                           20
                           20
                           20
Llewellyn & D’EmdenEastern Wheatbelt
             WA Central / 2010                   WA Midlands
Factors influencing no-till adoption rate
        Use of crop consultant                                                                    From
                                                                                                 Logit &
        Higher education                                                                         Duration
                                                                                                 analysis
       Higher participation in extension activities
        Years since first awareness of nearby no-till adopter

        Prior year much drier than average

       Perceived soil moisture conserving benefits and improved seeding
     timeliness

        Effectiveness of pre-emergent weed control (perceived)
        Relative price of glyphosate herbicide
        Location (region/state) and average rainfall


D’ Emden et al. 2007 (SA, Vic, NSW, WA 2003) ; 82% of decisions correctly predicted – 2003 use
No-till adoption in Australian cropping regions

                        100%
                        90%
                                                               Logit analysis of no-
                        80%                                    till use & extensive
                                                               use (>90% crop
                        70%
                                                               area)
   % no-till adoption




                        60%
                        50%
                                                               Growers without a
                        40%                                    crop consultant are
                        30%                                    less than ½ as likely
                                                               to be no-till adopters.
                        20%
                        10%
                         0%
                           74
                           76
                           78
                           80
                           82
                           84
                           86
                           88
                           90
                           92
                           94
                           96
                           98
                           00
                           02
                           04
                           06
                           08
                         19
                         19
                         19
                         19
                         19
                         19
                         19
                         19
                         19
                         19
                         19
                         19
                         19
                         20
                         20
                         20
                         20
                         20


Llewellyn WA Central / Eastern Wheatbelt
          & D’Emden (2010) ; 2008 use    WA Midlands
Adoption of no-till systems

• No-till system has complex demands

• Information and knowledge intensive (NT groups)

• Not an embodied technology, but advisor support evolved

• Advisors have had a substantial role – ongoing

• Agronomic constraints to more extensive use
  (perceptions):
      • Disease
Convenience, complexity and advisor support
affecting peak adoption, not just rate

Personal
characteristics;                           Actual
learning-related                           relative
characteristics;                           advantage
extension; actual
relative advantage




                      Early      Late
                     majority   majority


     Time
Adoption of variable rate fertiliser in Australian
        grain growing regions

                                       Have yield map    Varying fertiliser
             Region                         (%)           rates on zones
                                                        and yield map (%)
             Central                         20                  7
             Lower EP                        32                 10
  SA         Upper EP                        20                  5
             Western EP                      8                   3
             Mallee                          17                  9
             Mallee                          24                 18
  VIC
             Wimmera                         23                  4
  WA         Central                         40                  9




Robertson, Llewellyn et al 2011 (2008 use)
Adoption of variable rate fertiliser in Australian
        grain growing regions

                                       Have yield map    Varying fertiliser
             Region                         (%)           rates on zones
                                                        and yield map (%)
             Central                         20                  7
             Lower EP                        32                 10
  SA         Upper EP                        20                  5
             Western EP                      8                   3
             Mallee                          17                  9
             Mallee                          24                 18
  VIC
             Wimmera                         23                  4
  WA         Central                         40                  9

 Consultant use 2x ***
 Logistic adoption model of VR
Robertson, Llewellyn et al 2011 (2008 use)
From complexity to convenience?
The role for research
The R&D challenge: the case of PA
                         Expected profitability alone not
                         leading to high adoption

                         Complexity and inconvenience

                         A role for research not just
                         extension

                         Overcoming low ‘adoption’ by
                         advisors
Finally

• Role for ‘advisor-technology synergy’
  • Innovation can be complex, but supported by advisors
  • Research aimed at developing relative advantage for
    advisors & farmers


• Management time scarcity increasingly
  affecting relative advantage
  • Cannot be ignored in full economic analyses (whole-
    farm)
  • Increasing value of ‘convenience agriculture’

            9% management attention Vs 3% profit increase?
THANK YOU

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Reducing the cost of complexity for greater farming system change. Rick Llewellyn

  • 1. Reducing the cost of complexity for greater farming system change Rick Llewellyn CSIRO, Waite Campus
  • 2. Increasing value of convenience • Trends in farm businesses and management • Implications for agricultural innovation and technologies • Value of convenience • Cost of complexity • Challenge for R&D • Shift in drivers of relative advantage • Potential for innovation-advisor synergy • Expanding research role in innovation development process
  • 3. Farm business trends Increasing farm size Less managers per hectare Greater land use intensity More management demands Less available labour & management attention
  • 4. Management constraints affecting farm productivity - Management constraints a major factor limiting farm productivity growth and technical efficiency - Management constraints leading to widening gap in farm efficiency (ABARE, 2010; Hughes et al., 2011) Increasing research recognition of complexity and labour constraints in farming systems (Kingwell 2011; Doole et al 2009) Lucerne increases whole farm profitability by 3% but increases management time by 9%
  • 5. Examples from Australian crop-livestock farming No-shear sheep (or no sheep) Autosteer/ GPS Guidance
  • 6. Convenience in a bag: Herbicide tolerant soybean, US Non- pecuniary embodied benefits: simplicity; flexibility Piggot and Marra 2008
  • 7. Embodied innovations Embodied innovations: The benefits are obtained relatively simply through its direct use. Benefits can be attributed simply and directly (e.g. new disease resistant crop; autosteer) Non-embodied innovations: Usually information-intensive. Ongoing decisions and management are needed to benefit from the technology Require higher levels of management capacity to gain full value - skills, education, advisory support (e.g. monitoring tools; variable rate technology; soil tests)
  • 8. RR Soybean: the growing value of convenience • Evidence that growers become accustomed to convenience • More inelastic demand • Willing to pay higher prices for embodied convenience • Less willing to shift away from embodied convenience • Shifts in farm labour allocation; IWM reluctance Piggot and Marra 2008 +Uematsu et al 2010; Fernande z-Cornejo et al 2005.
  • 9. No-till adoption in Australian cropping regions 100% 90% 80% 70% % no-till adoption 60% 50% 40% 30% 20% 10% 0% 74 76 78 80 82 84 86 88 90 92 94 96 98 00 02 04 06 08 19 19 19 19 19 19 19 19 19 19 19 19 19 20 20 20 20 20 WA Central / Eastern Wheatbelt WA Midlands Llewellyn & D’Emden 2010 WA Northern Wheatbelt WA SE Central Wheatbelt
  • 10. No-till adoption in Australian cropping regions 100% 90% 80% 70% % no-till adoption 60% 50% 40% 30% 20% 10% 0% 74 76 78 80 82 84 86 88 90 92 94 96 98 00 02 04 06 08 19 19 19 19 19 19 19 19 19 19 19 19 19 20 20 20 20 20 Llewellyn & D’EmdenEastern Wheatbelt WA Central / 2010 WA Midlands
  • 11. Factors influencing no-till adoption rate Use of crop consultant From Logit & Higher education Duration analysis Higher participation in extension activities Years since first awareness of nearby no-till adopter Prior year much drier than average Perceived soil moisture conserving benefits and improved seeding timeliness Effectiveness of pre-emergent weed control (perceived) Relative price of glyphosate herbicide Location (region/state) and average rainfall D’ Emden et al. 2007 (SA, Vic, NSW, WA 2003) ; 82% of decisions correctly predicted – 2003 use
  • 12. No-till adoption in Australian cropping regions 100% 90% Logit analysis of no- 80% till use & extensive use (>90% crop 70% area) % no-till adoption 60% 50% Growers without a 40% crop consultant are 30% less than ½ as likely to be no-till adopters. 20% 10% 0% 74 76 78 80 82 84 86 88 90 92 94 96 98 00 02 04 06 08 19 19 19 19 19 19 19 19 19 19 19 19 19 20 20 20 20 20 Llewellyn WA Central / Eastern Wheatbelt & D’Emden (2010) ; 2008 use WA Midlands
  • 13. Adoption of no-till systems • No-till system has complex demands • Information and knowledge intensive (NT groups) • Not an embodied technology, but advisor support evolved • Advisors have had a substantial role – ongoing • Agronomic constraints to more extensive use (perceptions): • Disease
  • 14. Convenience, complexity and advisor support affecting peak adoption, not just rate Personal characteristics; Actual learning-related relative characteristics; advantage extension; actual relative advantage Early Late majority majority Time
  • 15. Adoption of variable rate fertiliser in Australian grain growing regions Have yield map Varying fertiliser Region (%) rates on zones and yield map (%) Central 20 7 Lower EP 32 10 SA Upper EP 20 5 Western EP 8 3 Mallee 17 9 Mallee 24 18 VIC Wimmera 23 4 WA Central 40 9 Robertson, Llewellyn et al 2011 (2008 use)
  • 16. Adoption of variable rate fertiliser in Australian grain growing regions Have yield map Varying fertiliser Region (%) rates on zones and yield map (%) Central 20 7 Lower EP 32 10 SA Upper EP 20 5 Western EP 8 3 Mallee 17 9 Mallee 24 18 VIC Wimmera 23 4 WA Central 40 9 Consultant use 2x *** Logistic adoption model of VR Robertson, Llewellyn et al 2011 (2008 use)
  • 17. From complexity to convenience?
  • 18. The role for research
  • 19. The R&D challenge: the case of PA Expected profitability alone not leading to high adoption Complexity and inconvenience A role for research not just extension Overcoming low ‘adoption’ by advisors
  • 20. Finally • Role for ‘advisor-technology synergy’ • Innovation can be complex, but supported by advisors • Research aimed at developing relative advantage for advisors & farmers • Management time scarcity increasingly affecting relative advantage • Cannot be ignored in full economic analyses (whole- farm) • Increasing value of ‘convenience agriculture’ 9% management attention Vs 3% profit increase?