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Retrofit Poverty: Socioeconomic Spatial Disparities in Retrofit Subsidies Uptake Cover

Retrofit Poverty: Socioeconomic Spatial Disparities in Retrofit Subsidies Uptake

Open Access
|Apr 2020

Figures & Tables

Table 1

Victorian Energy Upgrade (VEU) programme categories and associated activities.

Category (abbreviation)Activity type
Water Heating (WH)Replacement of an electric water heating system with more efficient systems, e.g. gas/liquefied petroleum gas (LPG) storage or gas/LPG instantaneous or electric-boosted solar or gas/LPG-boosted solar systems; solar retrofit kit for existing water heating system
Space Heating & Cooling (SHC)High-efficiency ducted gas heating system replacing an inefficient gas-ducted heating system or a central electric heater; installation of ducted air heat pump, replacement of refrigerative air-conditioner with ducted evaporative cooler; gas ductwork replacement
Space Conditioning (SC)Ceiling and underfloor insulation; window replacements or retrofits; draught proofing
Shower Rose (SR)Replacement with a water-efficient shower rose
Refrigerator or Freezer (Fr)Decommissioning of an inefficient and purchase of an efficient refrigerator or freezer
Lighting Replacement (Light)Replacement of inefficient light bulbs with more efficient ones
Television (TV)Installation of a highly efficient television
Clothes Dryer (CD)Installation of a highly efficient clothes dryer
Pool Pumps (PP)Installation of a highly efficient pool pump
SPCs (SPC)Installation of stand-by power controllers
IHDs (IHD)Installation of in-home display units
bc-1-1-13-g1.png
Figure 1

Distribution of Victorian Energy Efficiency Certificates (VEECs) by categories of activities.

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Figure 2

Comparison of the number of Victorian Energy Efficiency Certificates (VEECs) generated in metropolitan and regional areas.

Table 2

Descriptive statistics for Victorian Energy Efficiency Certificate (VEEC) generation: total number of VEECs.

VariableNMeanSDMinimumMaximum
All postcode areas68948,503.8470,746.934555,326
Metropolitan areas27584,161.6686,644.534555,326
Regional areas41424,818.0944,138.7323360,964
bc-1-1-13-g3.png
Figure 3

Comparison of Victorian Energy Efficiency Certificate (VEEC) generation intensity by categories in each location.

Table 3

Descriptive statistics for dwelling numbers and Victorian Energy Efficiency Certificate (VEEC) generation intensity.

VariableNMeanSDMinimumMaximum
Number of occupied and unoccupied private dwellings
    All postcode areas6893468.864787.51934,581
    Metropolitan areas2756265.355600.431234,581
    Regional areas4141611.292950.79925,403
Total number of VEECs per 100 dwellings
    All postcode areas6891505.92489.5943545
    Metropolitan areas2751370.80462.2142630
    Regional areas4141595.68487.18223545
bc-1-1-13-g4.png
Figure 4

Spatial mapping of Victorian Energy Efficiency Certificate (VEEC) generation intensity per dwelling. Also shown are the major state highways and main towns.

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Figure 5

Spatial mapping of Victorian Energy Efficiency Certificate (VEEC) generation intensity per dwelling: all metropolitan postcode areas.

bc-1-1-13-g6.png
Figure 6

Spatial mapping of share of Victorian Energy Efficiency Certificates (VEECs) generated from the free activities of lighting upgrades, shower roses and stand-by power controllers.

Table 4

Independent samples t-test results of Victorian Energy Efficiency Certificate (VEEC) generation intensity by location.

VariableGroup statisticst-test for equality of meansMean difference
NMeanSDtd.f.p
VEECs generation intensity
Metropolitan areas2751370.80462.21–6.066872.30E–09**–224.89
Regional areasa4141595.68487.18
Share of VEECS from free activities (lighting upgrades, shower rose replacements, installation of stand-by power controllers)
Metropolitan areasa2750.870.0931.436811.10E–134**0.25
Regional areasa4140.620.12
VEECs generation intensity of lighting upgrade activities
Metropolitan areas275748.78330.789.244091.42E–18**205.64
Regional areasa414543.14201.40
VEECs generation intensity of water heating upgrade activities
Metropolitan areas27589.41115.98–25.506113.05E–98**–374.48
Regional areasa414463.90262.78

[i] Notes: a Levene’s test of homogeneity of variance indicated that equal variance could not be assumed.

** Highly statistically significant at p < 0.001.

Table 5

Descriptive statistics for predictor variables with the results of an independent samples t-test to assess the difference in means between metropolitan and regional postcode areas.

NMeanSDMinimumMaximumt-test for equality of meansMean difference
td.f.p
SEIFA IER score, 2016
All postcode areas6721011.2357.09731.001168.00
Metropolitan areas2691023.4170.24731.001168.004.21411.513.10E–05**20.31a
Regional areas4031003.1044.56846.001112.00
SEIFA IRSAD score, 2016
All postcode areas6721006.5759.69783.001126.00
Metropolitan areas2691036.8962.57783.001126.0011.23471.844.36E–26**50.57a
Regional areas403986.3248.06795.001097.00
Change in SEIFA IER score, 2011–16
All postcode areas6722.5714.83–58.6283.74
Metropolitan areas2691.0913.49–58.6271.62–2.17627.18.030*  –2.46a
Regional areas4033.5515.61–39.3383.74
Change in SEIFA IRSAD score, 2011–16
All postcode areas6728.6419.03–62.88110.51
Metropolitan areas2693.2918.51–62.88110.51–6.12670.001.57E–09*  –8.93
Regional areas40312.2218.54–61.0196.20
Rate of rented, occupied dwellings, 2016
All postcode areas6890.220.130.001.00
Metropolitan areas2750.270.160.031.007.83372.215.14E–14**0.08a
Regional areas4140.180.080.000.98
Rate of unoccupied dwellings, 2016
All postcode areas6890.160.130.000.87
Metropolitan areas2750.110.110.000.87–9.92650.331.10E–21**–0.09a
Regional areas4140.200.130.000.78

[i] Notes: a Levene’s test of homogeneity of variance indicated that equal variance could not be assumed.

SEIFA IER = Socio-Economic Indexes for Areas Index of Economic Resources; and SEIFA IRSAD = Socio-Economic Indexes for Areas Index of Relative Socio-Economic Advantage and Disadvantage.

Table 6

Results of the linear regression model predicting the effect of the dependent variables on Victorian Energy Efficiency Certificate (VEEC) generation intensity, differentiated by location.

Variabler2ANOVAUnstandardised coefficients95% confidence interval for β
d.f.FβConstantpLower boundUpper bound
SEIFA IER score, 2016
All postcode areas0.06967149.5862.178–684.9304.72E–12**1.5712.785
Metropolitan areas0.313268121.6003.478–2167.3061.51E–23**2.8574.099
Regional areas0.0104023.9531.063534.8220.047*  0.0122.114
SEIFA IRSAD score, 2016
All postcode areas0.0076714.558–0.6252174.1810.033    –1.252–0.052
Metropolitan areas0.0002680.0760.1181270.0370.783    –0.7230.959
Regional areas0.0004020.0020.0231578.9240.964    –0.9571.002
Change in SEIFA IER score, 2011–16
All postcode areas0.0036712.1521.8071512.9061.43E–01**–0.6124.225
Metropolitan areas0.0232686.2244.8881386.9390.013*  1.0308.745
Regional areas0.0004020.131–0.5551603.1240.718    –3.5702.461
Change in SEIFA IRSAD score, 2011–16
All postcode areas0.0116717.4662.6131494.9560.006*  0.7354.491
Metropolitan areas0.0042681.1951.5741387.0990.275    –1.2624.411
Regional areas0.0034021.1281.3691584.4250.289    –1.1653.904
Rate of rented, occupied dwellings, 2016
All postcode areas0.195688166.485–1679.9801869.7702.91E–34**–1935.621–1424.340
Metropolitan areas0.485274256.862–1971.6501896.8903.37E–41**–2213.840–1729.459
Regional areas0.0094133.919–560.2011698.3100.048*  –1116.500–3.903
Rate of unoccupied dwellings, 2016
All postcode areas0.05668840.558–907.5481652.6863.49E–10**–1187.347–627.750
Metropolitan areas0.05127414.596–972.6911475.9551.65E–04**–1473.923–471.459
Regional areas0.16441380.954–1549.2471901.3768.55E–18**–1887.7221210.771

[i] Notes: VEECs were generated to 30 June 2017; SEIFA IER = Socio-Economic Indexes for Areas Index of Economic Resources; SEIFA IRSAD = Socio-Economic Indexes for Areas Index of Relative Socio-Economic Advantage and Disadvantage.

* Statistically significant at p < 0.05; ** = highly statistically significant at p < 0.001; p-values were not adjusted for multiple testing.

Table 7

Results of the linear regression model predicting the effect of the dependent variables on the Victorian Energy Efficiency Certificate (VEEC) generation intensity of lighting upgrades, differentiated by location.

Variabler2ANOVAUnstandardised coefficients95% confidence interval for β
d.f.FβConstantpLower boundUpper bound
SEIFA IER score, 2016
All postcode areas0.194671161.3612.102–1494.0732.80E–30**1.7772.427
Metropolitan areas0.23926883.7942.218–1506.6671.47E–17**1.7412.695
Regional areas0.07640232.8081.182–342.3181.99E–08**0.7761.588
SEIFA IRSAD score, 2016
All postcode areas0.08267160.2141.310–687.5973.18E–14**0.9791.642
Metropolitan areas0.0062681.7420.410338.0390.188    –0.2021.022
Regional areas0.06040225.7080.978–421.3396.08E–07**0.5991.357
Change in SEIFA IER score, 2011–16
All postcode areas0.0006710.126–0.251632.0490.723    –1.6441.141
Metropolitan areas0.0002680.0620.360762.8820.803    –2.4883.208
Regional areas0.0014020.2940.332542.2040.588    –0.8721.536
Change in SEIFA IRSAD score, 2011–16
All postcode areas0.0146719.774–1.716646.2390.002*  –2.794–0.638
Metropolitan areas0.0062681.525–1.297767.5380.218    –3.3660.771
Regional areas0.0004020.0710.138541.7010.790    –0.8761.151
Rate of rented, occupied dwellings, 2016
All postcode areas0.04568832.602–462.093725.2971.68E–08**–620.991–303.195
Metropolitan areas0.320274128.756–1147.2621054.9051.05E–24**–1346.310–948.214
Regional areas0.0014130.59190.314526.5960.442    –140.590321.218
Rate of unoccupied dwellings, 2016
All postcode areas0.08968867.062–653.582730.8551.28E–15**–810.284–496.880
Metropolitan areas0.0212745.899–449.373797.3640.016*  –813.629–85.118
Regional areas0.07341332.512–426.580627.2522.26E–08**–573.644–279.516

[i] Notes: VEECs were generated until 30 June 2017 from lighting upgrade activities.

SEIFA IER = Socio-Economic Indexes for Areas Index of Economic Resources; SEIFA IRSAD = Socio-Economic Indexes for Areas Index of Relative Socio-Economic Advantage and Disadvantage.

* Statistically significant at p < 0.05; ** highly statistically significant at p < 0.001. p-values were adjusted for multiple testing.

Table 8

Results of the linear regression model predicting the effect of the dependent variables on the Victorian Energy Efficiency Certificate (VEEC) generation intensity of water heating upgrades, differentiated by location.

Variabler2ANOVAUnstandardised coefficients95% confidence interval for β
d.f.FβConstantpLower boundUpper bound
SEIFA IER score, 2016
All postcode areas0.0016710.4060.122192.8700.524    –0.2540.499
Metropolitan areas0.21426872.8630.768–694.4171.06E–15**0.591945.000
Regional areas0.0114024.2750.603–138.4400.039*  0.0301.177
SEIFA IRSAD score, 2016
All postcode areas0.05167136.270–1.0761399.5102.83E–09**–1.427–0.725
Metropolitan areas0.05926816.6760.451–376.5905.90E–05**0.2340.669
Regional areas0.0004020.0040.017449.9030.950    –0.5180.552
Change in SEIFA IER score, 2011–16
All postcode areas0.0086715.4731.720312.0560.020*  0.2763.163
Metropolitan areas0.08926826.1782.58188.5965.96E–07**1.5883.574
Regional areas0.0004020.064–0.211467.4400.801    –1.8571.435
Change in SEIFA IRSAD score, 2011–16
All postcode areas0.05967142.0703.620285.1811.71E–10**2.5244.716
Metropolitan areas0.07426821.2801.70985.7956.00E–06**0.9802.439
Regional areas0.0094023.5101.315450.6260.062    –0.0652.694
Rate of rented, occupied dwellings, 2016
All postcode areas0.187688157.863–952.780520.7829.73E–33**–1101.671–803.890
Metropolitan areas0.271274101.705–370.185188.1941.55E–20**–442.450–297.921
Regional areas0.10641348.852–1013.554649.5771.11E–11**–1298.611–728.497
Rate of unoccupied dwellings, 2016
All postcode areas0.02168814.561320.566262.6191.48E–04**155.621485.512
Metropolitan areas0.0322749.091194.48768.3923.00E–03*  67.498321.476
Regional areas0.03441314.283–376.713538.1751.80E–04**–572.651–180.774

[i] Notes: VEECs were generated until 30 June 2017 from water heating upgrade activities.

SEIFA IER = Socio-Economic Indexes for Areas Index of Economic Resources; SEIFA IRSAD = Socio-Economic Indexes for Areas Index of Relative Socio-Economic Advantage and Disadvantage.

* Statistically significant at p < 0.05; ** highly statistically significant at p < 0.001. p-values were not adjusted for multiple testing.

Table 9

Summary of multiple regression analysis for Victorian Energy Efficiency Certificate (VEEC) generation intensity across all postcode areas.

VariableΒSEΒβtp
Intercept1874.91532.64757.4292.95E–264    
Rate of rented, occupied dwellings, 2016–0.090.03–0.11–3.0290.003*  
Rate of unoccupied dwellings, 2016–1536.34137.848–0.404–11.1451.25E–26**

[i] Notes: Β = unstandardised regression coefficient; SEΒ = standard error of the coefficient; β = standardised coefficient.

* Statistically significant at p < 0.05; ** highly statistically significant at p < 0.001.

Table 10

Summary of multiple regression analysis for Victorian Energy Efficiency Certificate (VEEC) generation intensity across metropolitan postcode areas.

VariableΒSEΒβtp
Intercept1912.69539.5748.3371.51E–135    
Rate of rented, occupied dwellings, 2016–0.0510.031–0.073–1.6190.107    
Rate of unoccupied dwellings, 2016–1916.41127.311–0.677–15.0531.15E–37**

[i] Notes: Β = unstandardised regression coefficient; SEΒ = standard error of the coefficient; β = standardised coefficient.

** Highly statistically significant at p < 0.001.

bc-1-1-13-g7.png
Figure 7

Spatial mapping of Victorian Energy Efficiency Certificate (VEEC) generation intensity per household, excluding postcode area 3944.

bc-1-1-13-g8.png
Figure 8

Spatial mapping of Victorian Energy Efficiency Certificate (VEEC) generation intensity per household, excluding postcode area 3944.

bc-1-1-13-g9.png
Figure 9

Summary of the Victorian Energy Efficiency Certificate (VEEC) generation and key socioeconomic indicators for the top outlier metropolitan postcode area 3944 (Portsea).

DOI: https://doi.org/10.5334/bc.13 | Journal eISSN: 2632-6655
Language: English
Submitted on: Nov 1, 2019
Accepted on: Mar 16, 2020
Published on: Apr 23, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Nicola Willand, Trivess Moore, Ralph Horne, Sarah Robertson, published by Ubiquity Press
This work is licensed under the Creative Commons License.