8.0 IMPACTS OF LAND-USE CHANGE ON FARMING AND MEAT PROCESSING


Key points
  • Over the first ten years of projected land-use change to forestry, the estimated changes in net FTE employment are relatively small.
  • Following closure of other east coast North Island meat processing facilities, the projected land-use changes are unlikely to jeopardise the medium-term viability of the Wairoa AFFCO meat processing plant.
  • The employment structure of the primary sector will change, and forestry related employment opportunities must be captured by the Wairoa population if the effects of land-use change on local employment and household income are to be minimised.
  • Potential increases in total employment are significant over 15 to 30 years as a result of forest expansion.

 

Introduction

The regional impacts associated with the loss of farmland to forestry are discussed in this section. These are the impacts on farming-related activities only, and include on and off-farm direct and indirect employment decreases, expressed as Full Time Equivalents (FTEs), and the decrease in gross household income derived from agriculture in the regional economy. The impacts are discussed under separate headings, and draw from the regional employment input/output analysis contained in Appendix 1 and the representative farm models developed for this study as detailed in Chapter 4.5.

Impacts per 1000 LSUs or 1000 hectares

A summary of impacts on a per 1000 LSUs and per 1000 hectares is presented in Table 8.1. The stocking rate assumed is 9 LSUs per grassed hectare, which converts to 7.7 LSUs per total hectare suitable for forest establishment (i.e. this allows for 85% of the area to be in pastoral use, with a further 15% suitable for forestry not being actively farmed at the time of land-use change).The important coefficients in this table include:-

  1. Only 75% of the livestock available for slaughter are killed in Wairoa.
Table 8.1 Agriculture-related indices associated with stock numbers, employment and household income changes
Per 1000 ha Per 1000 LSU (7.7 LSU/ha)
Physical Indices
Stock available for slaughter
Lambs 162 1247
Adult sheep 88 678
Adult cattle 16.7 129
Lamb equivalents to slaughter 386 2972
Stock offered for slaughter in Wairoa
75% lambs 122 939
75% adult sheep 66 508
75% adult cattle 12.5 96
Lamb equivalents to slaughter 289 2225
Stock sold live as store stock
Lambs 72 554
Adult sheep 27 208
Cattle 16.2 125
Weight of wool sold (kg) 2610 20100
Employment Indices (full-time equivalents)

(source: section 3.0, Appendix 1)

On-farm direct 0.34 2.62
On-farm indirect 0.18 1.39
Processing direct (75% kill) 0.064 0.49
Processing indirect (75% kill) 0.009 0.07
Total FTEs 0.593 4.57
Gross household income (p.a.)

(source: section 3.0, Appendix 1)

On-farm direct ($49 420/FTE) 16 800 129 360
On-farm indirect ($31 100/FTE) 5600 43 120
Processing direct ($28 000/FTE) 1790 13 780
Processing indirect ($31 000/FTE) 280 2160
Total household income 24 470 188 420
Livestock valvage value ($)
Livestock salvage value 61118 470
  1. On this basis, a reduction of 2225 lamb equivalents slaughtered in Wairoa annually will occur for each 1000 hectares of land-use change to forestry. Using the employment indices for meat processing (of 0.22 FTEs per 1000 lamb equivalents for meat processing employees, and 0.03 FTEs for related indirect employment), this translates into only 0.49 FTEs and 0.07 FTEs respectively. Thus a relatively low rate of employment loss is associated with the meat processing industry.
  2. The direct on-farm loss of employment is much higher than in the processing sector. For each 1000 hectares of land-use change a loss of 2.62 FTEs would occur, on average, although this will vary marginally according to the size of the farm concerned. (The on-farm labour includes owners (one spouse only), managers, farm employees and shearers.) (See section 3.1 of Appendix 1.)
  3. The indirect employment associated with farming relates particularly to the farm servicing industries, and amounts to 1.39 FTEs per 1000 hectares of land-use change. (See section 3.1 of Appendix 1.)
  4. The total employment loss from the farming, processing and related industries amounts to 4.57 FTEs per 1000 hectares of land-use change to forestry, of which 57% is direct on-farm employment.
  5. The loss in gross household income is calculated at $188 400 per 1000 hectares. Nearly 70% of this loss is associated with direct on-farm employment and farm profit. The biggest variable in this calculation is associated with farm product price. A +/-10% change in product prices used in the analysis would change the total loss of gross household income by +/-$26 900 per 1000 hectares of land-use change, excluding any reduction in inputs (source: section 8.3.2).
  6. Capital livestock sold as a result of the land-use change would amount to 4512 sheep and 693 cattle per 1000 hectares. At average prices, this would produce a salvage value amounting to $470 600 per 1000 hectares in the year of land-use change. This salvage value exceeds the loss of gross household income in the year of change, and indeed offsets the loss for the first 2.5 years. However, it is expected that the salvage value from livestock (and from any other farm assets) will be treated by the exiting farmer as capital rather than household income, and will be invested elsewhere as a consequence. Therefore, no adjustment is made to the calculated loss of gross household income for salvage values of livestock and other assets, as this could mask interpretation of the likely regional impact in the long-term.
  7. Discussion of variations in stocking rate and the percentage of available livestock offered for slaughter at Wairoa plants is included in the following section relating to the base scenario of the rate of land-use change used in this study.
8.3 Base scenario of land-use change

To analyse the regional effects from reduced agricultural output, a base scenario of land-use change over 30 years has been developed. This scenario is based on discussions with current and prospective foresters in the district, and is considered to be the most likely rate of change under the current economic conditions (see section 5.5). The rate of land-use change in the scenario is as follows.

Planting Year

Hectares

1995 3500
1996 2500
1997-99 2000 p.a.
2000-2024 1600 p.a.
Total planted area 52 000 (over 30 yrs)
Total reduction in LSUs 400 400 LSU (over 30 yrs)
Total salvage value of livestock ($) 24.5 million

The agriculture-related employment and income losses are summarised in Tables 8.2 and 8.3 and their implications discussed below.

  1. The agriculture-related employment loss in total increases from 16 FTEs in 1995 to 237 FTEs at the end of the 30-year period of land-use change. Approximately 57% of the employment loss is associated with on-farm labour (including owners).
  2. The loss in gross household income related to the agricultural sector increases from $0.66 million in 1995 to $9.79 million p.a. after 30 years of land-use change. In terms of total gross household income in the WDC area derived from all sources at 1995 (broadly estimated at $72 million p.a. in section 4.0 of Appendix 1), the agriculture-related losses increase from 0.9% to 13.6% of the current District total over the 30-year period.The contribution to the loss of gross household income in the agricultural sector is summarised below. The dollar value of these losses for each of the three components of the total is summarised within Table 8.3.
On farm only 68.7%
Farming indirect 22.9%
Meat processing direct and indirect 8.4%
100.0%
Table 8.2 Jobs Lost From The Agricultural Sector - Base Scenario

Year

Rate of land-use change

Jobs lost from farming (FTEs)

   

Farming labour

Processing labour

Total

   

Direct

Indirect

Direct

Indirect

 

1995

3500

9

5

2

0

16

1996

2500

16

8

3

0

27

1997

2000

21

11

4

1

36

1998

2000

26

14

5

1

46

1999

2000

31

17

6

1

55

2000

1600

36

19

7

1

62

2001

1600

40

21

7

1

69

2002

1600

44

23

8

1

77

2003

1600

48

26

9

1

84

2004

1600

52

28

10

1

91

2005

1600

57

30

11

1

99

2006

1600

61

32

11

2

106

2007

1600

65

34

12

2

113

2008

1600

69

37

13

2

120

2009

1600

73

39

14

2

128

2010

1600

77

41

14

2

135

2011

1600

82

43

15

2

142

2012

1600

86

45

16

2

150

2013

1600

90

48

17

2

157

2014

1600

94

50

18

2

164

2015

1600

98

52

18

3

171

2016

1600

103

54

19

3

179

2017

1600

107

57

20

3

186

2018

1600

111

59

21

3

193

2019

1600

115

61

22

3

201

2020

1600

119

63

22

3

208

2021

1600

124

65

23

3

215

2022

1600

128

68

24

3

223

2023

1600

132

70

25

3

230

2024

1600

136

72

25

3

237

Table 8.3 Summary of farming related impacts
Losses to farming in Wairoa 1995 1999 2004 2014 2024
Total hectares of land-use change 3500 12 000 20 000 36 000 52 000
Total reduction in LSUs 26 950 92 400 154 000 277 200 400 400
Lamb equivalents to slaughter:
To Wairoa plants 7791 26 715 44 525 80 145 115 766
To outside plants 2598 8905 14 842 26 716 38 588
Total lamb equivalents 10 389 35 620 59 367 106 861 154 354
Stock sold live:
Lambs 1940 6652 11 088 19 958 28 828
Adult sheep 727 2494 4158 7484 10 810
Adult cattle 436 1496 2494 4490 6486
Employment: (farming-related only)
On-farm direct FTEs 9 31 52 94 136
On-farm indirect FTEs 5 17 28 50 72
Processing direct FTEs 2 6 10 18 25
Processing indirect FTEs 0 1 1 2 3
Total FTEs 16 55 91 164 237
Household income: (farming-related only) ($million)
On-farm direct. 0.45 1.55 2.59 4.66 6.73
On-farm indirect. 0.15 0.52 0.86 1.55 2.24
Total processing. 0.06 0.19 0.32 0.57 0.82
Total household income ($ million) 0.66 2.26 3.77 6.78 9.79

The loss in agriculture-related employment and gross household income is offset in part over the period from 1995 until harvest begins (after 28 years) from forestry-related employment associated with forest establishment and maintenance. (In addition, existing forest areas at 1995 will generate further employment and regional income opportunities once they reach harvestable age.) For the base scenario, this is summarised in Table 8.4. (More detail concerning forestry-related employment and gross household income is contained in section 2.0 of Appendix 1, and in chapter 9 of the main report).

Table 8.4 Summary of employment FTEs and household income change- base scenario, local wood processing included

Year

Rate of land-use change (ha p.a.)

 

Cumulative gains from forestry

Cumulative losses from farming

Cumulative nett change (parentheses indicate -ves)

 

Employment (FTEs)

Household income ($ millions)

Employment (FTEs)

Household income ($ millions)

Employment (FTEs)

Household income ($ millions)

1995

3500

40

1.13

16

0.66

24

0.47

1996

2500

29

0.81

27

1.13

2

(0.32)

1997

2000

23

0.64

36

1.51

(13)

(0.86)

1998

2000

80

2.15

46

1.88

34

0.27

1999

2000

63

1.72

55

2.26

8

(0.54)

2000

1600

91

2.44

62

2.56

29

(0.12)

2001

1600

79

2.13

69

2.86

10

(0.73)

2002

1600

121

3.24

77

3.16

44

0.07

2003

1600

101

2.71

84

3.46

17

(0.76)

2004

1600

109

2.92

91

3.77

18

(0.85)

2005

1600

100

2.68

99

4.07

1

(1.38)

2006

1600

98

2.63

106

4.37

(8)

(1.74)

2007

1600

93

2.48

113

4.67

(20)

(2.19)

2008

1600

93

2.48

120

4.97

(27)

(2.49)

2009

1600

91

2.44

128

5.27

(37)

(2.83)

2010

1600

91

2.44

135

5.57

(44)

(3.13)

2011

1600

91

2.44

142

5.87

(51)

(3.44)

2012

1600

91

2.44

150

6.18

(59)

(3.74)

2013

1600

91

2.44

157

6.48

(66)

(4.04)

2014

1600

91

2.44

164

6.78

(73)

(4.34)

2015

1600

91

2.44

171

7.08

(80)

(4.64)

2016

1600

91

2.44

179

7.38

(88)

(4.94)

2017

1600

91

2.44

186

7.68

(95)

(5.24)

2018

1600

91

2.44

193

7.98

(102)

(5.54)

2019

1600

91

2.44

201

8.28

(110)

(5.85)

2020

1600

91

2.44

208

8.59

(117)

(6.15)

2021

1600

91

2.44

215

8.89

(124)

(6.45)

2022

1600

91

2.44

223

9.19

(132)

(6.75)

2023

1600

1744

66.54

230

9.49

1 514

57.05

2024

1600

1438

53.91

237

9.79

1 201

44.12

2025

0

1303

48.06

237

9.79

1 066

38.27

2026

0

1294

47.81

237

9.79

1 057

38.02

2027

0

1289

47.68

237

9.79

1 052

37.89

2028

0

1197

43.42

237

9.79

960

33.63

2029

0

1180

42.99

237

9.79

943

33.20

In summary, the forestry-related employment and income opportunities decrease the impact substantially, particularly in the first 10 years from 1995. After 28 years from 1995 the net effect from land-use change in the base scenario is a reduction in FTEs of 132 and in gross household income of $6.75 million (9.4% of the estimated gross WDC household income). This offsetting of agriculture-related losses by forestry presupposes that the employment opportunities arising in the forestry sector are captured by employees based in the WDC area rather than by people or contractors domiciled in other regions.

Once the forestry area reaches a harvestable age (after 28 years, the first area being harvested in 2023), a substantial increase in employment and income-related opportunities arises. A nett increase in employment in the base scenario amounting to between 925 and 1574 FTEs (depending on forest area harvested in any one year) will be generated, assuming that wood processing mills are located in the WDC area. The nett increase in gross household income generated over the 1995 level will be in excess of $30 million p.a.Again, this assumes that the WDC-based population captures all the forestry employment opportunities (see section 2.0 of Appendix 1). Without wood processing facilities located in the WDC area, the nett change in employment and income would be restricted to about 350 extra FTEs and extra gross household income of about $13 million p.a.

8.4 Sensitivity analysis

The estimated employment and gross household income losses from the agriculture-related sector with land-use change in the base scenario are sensitive to changes in assumptions made. These assumptions include area planted, stocking rate of areas planted, farm product prices and the proportion of available stock killed by Wairoa-based processing plants. Each is discussed separately in the following subsections.

8.4.1 Changes in stocking rate and area planted

The average stocking rate of 7.7 LSUs per hectare used in the base analysis can be varied to take account of either higher or lower-quality land being planted, or different proportions of grassed area to total area being planted. The area planted can also be varied within the model developed for this study.

A variation in either stocking rate or area planted of the same proportion (e.g. +/-10% in either case) yields the same analytical results. For purposes of testing this sensitivity, a +/-10% variation has been used; the degree of change to the base scenario being is summarised in Table 8.5 (note that this table summarises only the change in respect of agriculture-related employment and income).The total change - including the forestry impact, and assuming wood processing in the WDC area is undertaken - is a little over 10% for the 28 years until harvest, but only a 3.6% change following commencement of harvest. This should be compared with the "no wood processing" scenario which would reduce the post-harvest benefits by approximately 60%. This analysis indicates the importance of local wood processing in comparison to changes in area planted.

Table 8.5 Summary of farming related impacts - sensitivity analysis

Effect of a +/-10% change in stocking rate (0.77 LSUs/ha) or a +/-10% change in the area planted annually.

Losses to farming in Wairoa 1995 1999 2004 2014 2024
Total area of land-use change (ha) 3500 1200 2000 3600 5200
Total reduction in LSUs 2695 9240 15 400 27 720 40 040
Lamb equivalents to slaughter:
To Wairoa plants 779 2671 4452 8014 11 577
To outside plants 259 891 1484 2672 3859
Total lamb equivalents 1038 3562 5937 10 686 15 435
Stock sold live:
Lambs 194 665 1109 1996 2883
Adult sheep 72 249 416 748 1081
Adult cattle 43 149 249 449 649
Employment: (farming-related only)
On-farm direct FTEs 0.9 3.1 5.2 9.4 13.6
On-farm indirect FTEs 0.5 1.7 2.8 5.0 7.2
Processing direct FTEs 0.2 0.6 1.0 1.8 2.5
Processing indirect FTEs 0.0 0.1 0.1 0.2 0.3
Total FTEs 1.6 5.5 9.1 16.4 23.7
Total household income( $million) 0.07 0.23 0.38 0.68 0.98
8.4.2 Change in farm product prices

Farm product prices used in the analysis were judged to be realistic long-term prices during late 1994 and early 1995. To May 1995, with the exception of the wool price, livestock prices have declined in response to a significant strengthening of the New Zealand currency exchange rate. Rather than select current prices as the likely long-term price levels, sensitivity analysis can be conducted for long-term price change. This sensitivity analysis affects only gross household income, and has no significant effect on employment levels, assuming minimal change in farm expenditure (inputs) made in the Wairoa area.

Long-term product price changes of +/-30% or more would have flow-on effects to indirect District employment and household income. For a 10% average change in farm gate prices received, a change in farm-related gross household income of $3490 per 1000 LSU or $26 870 per 1000 hectares would arise. The total change in the base scenario from a 10% change in farm-gate prices is summarised below.

+/- Change in +/- % change in +/- Change In total
household income farm-related WDC household
Year ($ millions) household income income (%)
1995 0.094 14.3 0.1
1999 0.323 14.3 0.5
2004 0.538 14.3 0.8
2014 0.968 14.3 1.4
2024 1.399 14.3 1.2

Note: The percentage change in total WDC household income is calculated from a base of $72 million p.a. plus/minus the change in annual household income derived from the base scenario change in land-use over a 30-year period.

As can be seen from the above indices, the overall net effect on total WDC gross household income of a 10% change in farm-gate prices is small. However, in terms of change to the agriculture-related gross household income, a 10% price change causes a +/-14.3% effect. In conclusion, farm gate prices are not a highly sensitive component of the long-term analysis at the total District level. They are more influential when considering the net annual change in gross household income associated with land-use change for the 28-year period before first harvest.

It is important to note that the farm-gate livestock prices used in this study are higher than those being paid at the time of the study release (May 1995). The prices used are considered to be generally realistic long-run prices. If these are adjusted down to May 1995 levels the associated loss in household income arising from the reduction in area farmed would be reduced until forest harvesting begins. In other words, lower farm-gate product prices reduce the nett cost of the land-use change from farming to forestry.

8.4.3 Change in numbers of livestock slaughtered in Wairoa

The base scenario assumes that 75% of the livestock available for slaughter from farms within the District are currently slaughtered and processed at plants in the WDC area. The total direct and indirect effects of changing this assumption so that 100% of the livestock available for slaughter from farms within the District are slaughtered and processed at plants in the WDC area, are summarised below.

Additional impact of land-use change if 100% of available stock are slaughtered locally
Employment in Gross household
meat processing income ($ millions)
Year (FTEs)
1995 -0.65 -0.02
1999 -2.23 -0.06
2004 -3.71 -0.11
2014 -6.68 -0.19
2024 -9.65 -0.27

If it is assumed that only 50% of available stock are killed locally, then the magnitude of the additional impact is identical to that summarised in the table above, but is positive, i.e. a smaller total effect on employment and household income.

The results of this analysis indicate that a change in the current level of kill at Wairoa-based plants has an insignificant effect on total employment and gross household income (less than $300 000 p.a. at the maximum). The base scenario, assuming 75% of available stock is killed locally, estimates a reduction in processing plant throughput in the WDC area from a total land-use change of 52,000 hectares of 116 000 lamb equivalents p.a. This equates to only 7% of the 1995 budgeted kill. Even if it is assumed 100% of available stock are killed locally, the reduction in total livestock in the District in the base scenario would affect local processing throughput by less than 10%.

It is concluded that land-use change away from agriculture of the magnitude considered in this study (52000 hectares of which approximately 44 400 hectares are in pastoral use) will not unilaterally jeopardise the Wairoa-based meat processing plants. However, the possible future construction of a new meat processing works in Gisborne or Hastings/Napier with a capacity of (say) 500,000 lamb equivalents or more would reduce the viability of Wairoa facilities when coupled with land-use change to forestry in both the Wairoa and East Coast districts. The influence of the East Coast Forestry Project (ECFP) on Wairoa meat processing works throughput has not been analysed in this study. A review of the ECFP scheduled for 1995/96 will include research into the reduction in the number of livestock units and farm output as a result of afforestation.

8.5 Effect On Farm Servicing Businesses

The reduction in agriculture-related employment and income in the servicing sector has been included as the indirect component of the analysis. In terms of the effects on specific businesses, the impacts of land-use change are probably best expressed in the expected downturn in demand for farm-related inputs and services. This is calculated as the percentage of grassed area changed to forest over the whole of the WDC region. On this basis, and assuming that the 1995 grassed area on sheep and beef farms is approximately 190 000 hectares, the removal of every 1000 total hectares to forestry will reduce demand for farm-related inputs and services by 0.45%. Under the base scenario assumptions, the reduction in demand is summarised as follows.

% Reduction of Inputs and Services
Year (Farm Related)
2004 (after 10 years) - 9.0
2014 (after 20 years) -16.2
2024 (after 30 years) -23.4

These are the estimated reductions in farm-related demand from current levels of local business, and are independent of the proportion of goods and services purchased outside the WDC area, on the assumption that the current pattern of purchase inside and outside the District will continue on average. Countering this estimated reduction in farm-related demand will be the increase in demand for forestry inputs and services. However, these are likely to be of smaller quantity owing to the labour-intensive nature of forestry during the establishment and maintenance years.

The businesses likely to be affected most by the land-use change are:

  • Veterinary practices and farm consultants
  • Fertiliser companies
  • Agricultural contractors
  • Stock and station agencies
  • Transport operators

Other businesses will be less affected owing to a smaller dependence on agricultural clients, and the opportunities to service forestry demands.

Businesses likely to be most affected must monitor the ongoing effects of land-use change and search for diversification opportunities. The opportunities will be much greater if and when wood processing facilities are established in the District.

It is noted that the reduction in demand for agriculture-related inputs and services is already accounted for in the base scenario as the reduction in indirect farming-related FTEs and gross household income (with adjustment for the estimated proportion of local District purchasing).

8.6 Summary of agricultural impacts

The base scenario assumes a total new afforestation area of 52 000 hectares, achieved more or less evenly over the next 30 years. The most significant impact is in the loss of employment on farms - particularly owners, managers, farm labourers and shearers. A total of 136 FTEs will be lost from on-farm employment (out of a June 1992 total of 685 FTEs (Statistics NZ), which included all farming enterprises such as dairying, horticulture and forestry employees). If the 136 FTEs lost is converted to total FTEs on sheep and cattle farms only on the basis of pastoral area, the total FTEs employed would number 582. The land-use change would thus equate to a loss of 23.4% of those on-farm workers at June 1992. The within-District impacts of reductions in the on-farm labour force are discussed in the following subsection.

The next biggest impact is in the agricultural servicing sector, with a total FTE loss of 72 after the 30-year land-use change period. Combined, the on-farm direct and indirect farming-related employment loss accounts for 88% of the total employment loss, and 91.6% of the total gross household income loss from the agricultural sector.

The impact on the processing industry is small under the assumptions made and the current rate of annual kill. The analysis calculates a loss of only 29 FTEs after the 30-year land-use change period, and is less than 8% of the current work force (estimated at about 400 FTEs). It is concluded that land-use change to forestry in the WDC area will have only a marginal effect on meat processing industries. Outside influences, including East Coast afforestation and the possible development of a new meat processing facility in an adjacent region, are more likely to adversely affect meat processing plants in the WDC area, with consequent reductions in employment and District income.

_______________________________________________________________________

 

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