Open Access

Labor Displacement in Agriculture: Evidence from Oil Palm Expansion in Indonesia

Christoph Kubitza, Vijesh V. Krishna, Stephan Klasen, Thomas Kopp, Nunung Nuryartono and Matin Qaim

Article Figures & Data

  • Table 1

    Datasets

    Year of Survey/ObservationSource
    Local surveys
     Farm householdsa2012; 2015; 2018Primary data collected by authors
    Spatial data
     Location of palm oil mills1922–2022Benedict et al. (2023)
     Forest cover in Indonesia2000; 2005; 2010; 2012Margono et al. (2014)
     Large-scale oil palm plantations2000; 2005; 2010; 2015Austin et al. (2017)
     Max. attainable yield of different crops1961–1990 (baseline data)Global agro-ecological zones data
    National surveys
     National labor force survey (SAKERNAS)2000–2015Badan Pusat Statistik
     Tree Crops Statistics2000–2015Ministry of Agriculture
     National village survey (PODES)2001; 2003; 2006; 2011; 2014Badan Pusat Statistik
    Indonesian census2000; 2010IPUMS International database
    • a n = 683 per survey round.

  • Table 2

    Effect of Oil Palm Cultivation on Annual Farm Household Income (2012–2015–2018)

    Village-Level Fixed EffectsHousehold-Level Fixed Effects
    Total Household Expenditure (log) (1)Total Household Expenditure (log) (2)Total Household Expenditure (log) (3)Total Household Expenditure (log) (4)Total Household Expenditure (log) (5)Total Household Expenditure (log) (6)
    Share of oil palm (0–1)0.294***0.268***0.173***0.232**0.202*0.152
    (0.060)(0.057)(0.051)(0.115)(0.113)(0.109)
    Employed household members (= 1)−0.605−0.608−0.011−0.008
    (1.034)(0.916)(0.033)(0.033)
    Self-employed household members (= 1)0.256***0.240***0.148***0.148***
    (0.034)(0.032)(0.040)(0.040)
    Total farm size (ha)0.049***0.038***
    (0.005)(0.010)
    F-statistic10.85314.29421.1624.5335.2756.063
    Observations1,8541,8541,8541,7611,7611,761

    Note: The data source is farm-household data. Clustered standard errors at the household level are in parentheses. The dependent variable is the log of the total annual household expenditure (1,000 IDR). We control for the age and education of the household head, female-headed households, migrant households, number of women and adults, farm characteristics, distance to province capital, distance to next palm oil mill, employed household members, self-employed household members, total farm size, and year dummies. Additional covariates included in the estimation are in Appendix Table A5.

    • * p < 0.10;

    • ** p < 0.05;

    • *** p < 0.01.

  • Table 3

    Effect of Oil Palm Cultivation on Employment Status of Individuals in Farm Households (2012–2015–2018)

    Working (= 1) (Men) (1)Working (= 1) (Women) (2)Working On-Farm (= 1) (Men) (3)Working On-Farm (= 1) (Women) (4)Working Off-Farm (= 1) (Men) (5)Working Off-Farm (= 1) (Women) (6)Self-Employed Off-Farm (= 1) (Men) (7)Self-Employed Off-Farm (= 1) (Women) (8)
    Village-level fixed effects
     Share of oil palm (0–1)0.017−0.159***0.041−0.146***0.151***0.0020.070**0.029
    (0.020)(0.043)(0.027)(0.034)(0.043)(0.040)(0.032)(0.033)
    F-statistic494.76089.602399.98861.83666.37321.41710.0628.658
     Observations2,7592,6102,7592,6102,7592,6102,7592,610
    Household-level fixed effects
     Share of oil palm (0–1)0.076*−0.0780.079−0.0460.1634.54e-040.165**−0.048
    (0.043)(0.094)(0.069)(0.085)(0.110)(0.080)(0.069)(0.062)
    F-statistic538.62558.762387.98237.35540.15716.4087.1766.762
     Observations2,6932,5482,6932,5482,6932,5482,6932,548

    Note: The data source is farm-household data. Clustered standard errors at the household level are in parentheses. We control for age, age-squared, student, education level, migrant households, number of women and adults in the household, farm characteristics, distance to the province capital, distance to the next palm oil mill, total farm size, and year dummies. Additional covariates included in the estimation are in Appendix Table A6 for village-level fixed effects models and Appendix Table A7 for household-level fixed effects models.

    • * p < 0.10;

    • ** p < 0.05;

    • *** p < 0.01.

  • Table 4

    Regency-Level Effects of Oil Palm Expansion on Sectoral Shares of Women (2000–2005–2010–2015)

    Share of Women Working (1)Share of Women in Nonagricultural Sector (2)Share of Women in Agricultural Family Labor (3)Share of Women in Agricultural Wage Labor (4)Share of Women in Nonagricultural Self-Employment (5)Share of Women in Nonagricultural Wage Labor (6)
    Instrumental variable
     Share of smallholder oil palm area in regency (0–1)−2.910**−0.162−3.188**0.942−0.6390.438
    (1.184)(0.630)(1.284)(0.626)(0.454)(0.286)
    R-squared0.1550.4020.1060.0720.1150.558
     Kleibergen Wald F-statistic23.53223.53223.53223.53223.53223.532
     Observations827827827827827827
    OLS model
     Share of smallholder oil palm area in regency (0–1)−0.731**0.339***−0.613**−0.0110.186**0.114
    (0.348)(0.129)(0.301)(0.190)(0.093)(0.075)
    R-squared0.2350.4090.2160.1160.1850.564
     Observations827827827827827827

    Note: The data sources are SAKERNAS and Tree Crop Statistics. The dependent variables are shares ranging between 0 and 1. The IV and OLS estimates are reported with spatial HAC standard errors using a 100 km cutoff. The instrument is the maximum attainable oil palm yield per regency × the national oil palm expansion. We control for the mean age of working-age women, national oil palm expansion, regency fixed effects, year dummies, region trends, initial levels of population density, forest cover, hospital density, and electrification × the time trend. Initial levels are based on data from 2000.

    • * p < 0.10;

    • ** p < 0.05;

    • *** p < 0.01.

  • Table 5

    Regency-Level Effects of Oil Palm Expansion on Sectoral Shares of Men (2000–2005–2010–2015)

    Share of Men Working (1)Share of Men in Nonagricultural Sector (2)Share of Men in Agricultural Family Labor (3)Share of Men in Agricultural Wage Labor (4)Share of Men in Nonagricultural Self-Employment (5)Share of Men in Nonagricultural Wage Labor (6)
    Instrumental variable
     Share of smallholder oil palm area in regency (0–1)−0.372−1.771**−1.053*2.686***−1.695**0.112
    (0.523)(0.886)(0.627)(0.604)(0.670)(0.571)
    R-squared0.1430.3450.120−0.009−0.0000.567
     Kleibergen Wald F-statistic23.31223.31223.31223.31223.31223.312
     Observations827827827827827827
    OLS model
     Share of smallholder oil palm area in regency (0–1)−0.222*0.007−0.401***0.672***−0.0120.012
    (0.122)(0.203)(0.135)(0.160)(0.133)(0.126)
    R-squared0.1440.4010.1500.2510.1580.567
     Observations827827827827827827

    Note: Data sources are SAKERNAS and Tree Crops Statistics. Dependent variables are shares, ranging between 0 and 1. IV and OLS estimates are reported with spatial HAC standard errors using a 100 km cutoff. Instrument is the maximum attainable oil palm yield per regency times national oil palm expansion. We control for mean age of working-age men, national oil palm expansion, regency fixed effects, year dummies, region trends, and initial levels of population density, forest cover, hospital density, and electrification multiplied by time trend. Initial levels are based on data from 2000.

    • * p < 0.10;

    • ** p < 0.05;

    • *** p < 0.01.

  • Table 6

    Regency-Level Effects of Oil Palm Expansion in Land-Scare and Land-Abundant Settings (2000–2005–2010–2015)

    Share Working (1)Share in Nonagricultural Sector (2)Share in Agricultural Family Labor (3)Share in Agricultural Wage Labor (4)Share in Nonagricultural Self-Employment (5)Share in Nonagricultural Wage Labor (6)
    Men
     Share of smallholder oil palm area in regency (0–1)−0.2960.589−1.027***0.6740.592**0.018
    (0.305)(0.379)(0.291)(0.428)(0.232)(0.261)
     Share of smallholder oil palm area in regency (0–1) × Share of forest cover in 2000 (0–1)0.218−1.713*1.841***−0.005−1.777***−0.020
    (0.680)(0.988)(0.706)(1.027)(0.631)(0.673)
    R-squared0.1440.4020.1590.2510.1650.567
     Observations827827827827827827
    Women
     Share of smallholder oil palm area in regency (0–1)−1.777***0.108−1.516**−0.4520.276−0.061
    (0.675)(0.262)(0.683)(0.567)(0.229)(0.182)
     Share of smallholder oil palm area in regency (0–1) × Share of forest cover in 2000 (0–1)3.067*0.6782.649*1.292−0.2640.512
    (1.606)(0.599)(1.524)(1.307)(0.495)(0.437)
    R-squared0.2410.4090.2200.1190.1850.564
     Observations827827827827827827

    Note: The data sources are SAKERNAS, Margono et al. (2014), and Tree Crops Statistics. The dependent variables are shares ranging between 0 and 1. The OLS estimates are reported with spatial HAC standard errors using a 100 km cutoff. We control for national oil palm expansion, regency fixed effects, year dummies, region trends and initial levels of population density, hospital density, and electrification × the time trend. The initial levels are based on data from 2000.

    • * p < 0.10;

    • ** p < 0.05;

    • *** p < 0.01.