Open Access

Has Forest Certification Reduced Forest Degradation in Sweden?

Laura Villalobos, Jessica Coria and Anna Nordén

Article Figures & Data

  • Table 1

    Environmentally Important Areas Analysis: Descriptive Statistics for the Consideration Monitoring Dataset

    All Sample N = 3,005Final Sample N = 763Certified N = 247 MeanNoncertified N = 516 MeanFSCaN = 53 MeanPEFCbN = 75 MeanBoth N = 82 Mean
    MeanStd. Dev.Min.Max.MeanDifference (All - Final)
    Plot Characteristics
    Area requested for felling (ha)6.7058.2310.500120.0006.4800.3025.7526.8287.7665.6725.037
    Environmentally important area Before clearing (ha)0.7061.6950.00039.5000.6730.0450.5020.7550.7880.4470.415
    After clearing (ha)0.4971.3930.00039.5000.4740.0310.3410.5370.4220.3050.319
    Noncompliance rate (0/1)0.6410.4800.0001.0000.649–0.0100.6230.6610.7550.5600.598
      Environmental damage (ha)0.2090.8490.00021.9150.1990.0140.1610.2170.3660.1420.096
      Damage/area before clearing0.2880.3490.0001.0000.2730.0190.2660.2770.3420.3010.209
    Noncompliers only
      Environmental damage (ha)0.3261.0420.00221.9150.3070.0260.2580.3290.4850.2540.161
      Damage/area before clearing0.4200.3500.0001.0000.3950.034*0.3970.3940.4540.4730.320
    Forest Owner Characteristics
    Female (0/1)0.2420.4280.0001.0000.1660.101***0.1210.1880.1320.1070.134
    Single decision maker (0/1)0.2730.4460.0001.0000.642–0.495***0.5870.6690.5850.6270.646
    Age (years)59.33713.00323.00094.00060.308–1.302***59.36460.76058.69858.68060.512
    Owner lives near forest plot (0/1)0.7800.4150.0001.0000.811–0.042**0.8380.7980.9250.8270.805
    • Note: “All sample” refers to the complete sample of plots under the category of nonindustrial private forest owners that are randomly selected by the Swedish Forest Agency for forest inventory and monitoring both before and after clearing during the period 1999–2011. We excluded 1% of the observations due to missing or invalid information in any of the variables presented in this table. “Final sample” comprises the plots for which the certification status could be verified. FSC, Forest Stewardship Council; PEFC, Programme for the Endorsement of Forest Certification.

    • a Includes plots certified with the FSC before clearing but excludes plots that in addition obtained PEFC certification after clearing (20 observations).

    • b Includes plots certified with the PEFC before clearing but excludes plots that in addition obtained FSC certification after clearing (17 observations).

    • * p < 0.10;

    • ** p < 0.05;

    • *** p <0.01.

  • Table 2

    Trees and High Stumps Left Analysis: Descriptive Statistics for the Regeneration Monitoring Dataset

    All Sample N = 2,593Final Sample N = 1,065Certified N = 619
    Mean
    Noncertified N = 446
    Mean
    MeanStd.Dev.Min.Max.Difference (All – Final)
    Plot Characteristics
    Area requested for felling (ha)6.7348.1050.50094.2006.786–0.0886.3647.371
    Number of trees left per hectare of cleared forest8.81312.1820.000180.5340.6970.1429.3567.859
    Number of high stumps per hectare of cleared forest1.4272.2960.00019.1110.812–0.1091.6621.255
    Noncompliance rate (trees left)0.7080.4550.0001.0008.7290.0190.6610.747
    Noncompliance rate (high stumps)0.8220.3820.0001.0001.4920.0170.7900.843
    Noncompliers Only
    Number of trees left per hectare of cleared forest3.3502.9650.0009.9763.374–0.0403.2563.519
    Number of high stumps per hectare of cleared forest0.5530.8810.0002.9890.557–0.0070.5950.508
    Forest Owner Characteristics
    Female (dummy)0.2400.4270.0001.0000.1760.110***0.1680.186
    Single decision maker
    (dummy)
    0.2900.4540.0001.0000.638–0.591***0.6010.691
    Age (years)59.95712.97110.00099.00060.023–0.11260.04759.989
    Owner lives near forest plot (0/1)0.8020.3990.0001.0000.823–0.037**0.8320.812
    • Note: “All sample” refers to the complete sample of plots under the category of nonindustrial private forest owners that are randomly selected by the Swedish Forest Agency for forest inventory and monitoring both before and after clearing during the period 1999–2011. We excluded 1% of the observations due to missing or invalid information in any of the variables presented in this table.

    • p < 0.10;

    • ** p < 0.05;

    • *** p < 0.01.

  • Table 3

    Descriptive Statistics Set-Aside Areas

    VariableObservationsMeanStd. Dev.Min.Max.
    All Sample
    Set-aside area (ha)283148.456879.5650.40012,588.000
    Productive forest (ha)2831,117.6293,432.9367.00038,728.000
    Set-aside area (%)2830.0880.1210.0000.987
    Observations with 5% or less of set-aside area1130.0280.0150.0000.050
    Observations with more than 5% of set-aside area1700.1280.1420.0500.987
    1700.1280.1420.0500.987
    Any Certification
    Set-aside area (ha)188118.198510.1690.5005,343.000
    Productive forest (ha)1881,036.7662,230.0487.00016,145.000
    Set-aside area (%)1880.0960.1230.0030.987
    Noncertified
    Set-aside area (ha)95208.3341,340.7740.40012,588.000
    Productive forest (ha)951,277.6535,042.10816.00038,728.000
    Set-aside area (%)950.0730.1160.0000.867
    Certified FSC
    Set-aside area (ha)57145.027281.8470.6001,378.000
    Productive forest (ha)571,869.7373,115.0047.00016,145.000
    Set-aside area (%)570.0830.0580.0040.242
    Certified PEFC
    Set-aside area (ha)131106.525582.8550.5005,343.000
    Productive forest (ha)131674.3281,592.8528.00012,883.000
    Set-aside area (%)1310.1010.1420.0030.987
    • Note: FSC, Forest Stewardship Council; PEFC, Programme for the Endorsement of Forest Certification.

  • Table 4

    Effects of Forest Certification

    Dependent VariableDifference in MeansOLS (Year and County FE)OLS (All Covariates)ATT with OLS (All Covariates)ATT with CVM on Trimmed Sample
    A. Consideration Monitoring Dataset
    Noncompliance rate–0.0370.0130.010.0130.072
      Standard error0.0370.0420.0450.0520.086
      Observations763763763763295
      R-squared0.0010.1340.1610.213
    Area cleared (ha)–0.0570.0430.0380.0610.017
      Standard error0.0690.0930.0860.0600.115
      Observations763763763763295
      R-squared0.0010.0290.0910.162
    Area cleared (IHS)–0.0400.0070.0000.014–0.018
      Standard error0.0250.0330.0320.0280.057
      Observations763763763763295
      R-squared0.0030.0410.1090.201
    Area cleared (%)–0.0110.0190.0230.0300.075
      Standard error0.0280.0330.0350.0370.086
      Observations715715715715273
      R-squared0.0000.0670.0850.170
    B. Regeneration Monitoring Dataset
    Trees left/ha1.498**0.6790.888–0.778–2.198
      Standard error0.6910.8280.8941.0621.451
      Observations1,0651,0651,0651,065754
      R-squared0.0040.1460.1610.216
    High stumps left/ha0.407***0.2370.1060.1830.126
      Standard error0.1430.1490.1560.2100.261
      Observations1,0651,0651,0651,065754
      R-squared0.0070.1550.1690.200
    Noncompliance Rate
    Trees left/ha–0.086***–0.052*–0.056*–0.0150.038
      Standard error0.0280.0300.0330.0420.053
      Observations1,0651,0651,0651,065754
      R-squared0.0080.1100.1250.157
    High stumps left/ha–0.053**–0.024–0.000–0.0120.020
      Standard error0.0240.0250.0270.0360.045
      Observations1,0651,0651,0651,065754
      R-squared0.0040.1240.1360.168
    • Note: All covariates include variables listed in Appendix Tables A2 and A3, respectively, and county and year fixed effects. The sample includes 21 counties and 13 years. Reported standard errors are robust (White 1980) for OLS, and Abadie and Imbens (2006, 2011) for covariate matching. ATT, average treatment effect on the treated; CVM, covariate matching; FE, fixed effects; IHS, inverse hyperbolic sine transformation; OLS, ordinary least squares.

    • * p < 0.10;

    • ** p < 0.05;

    • *** p < 0.01.