Open Access

The Impact of Weather Risk on Tenure Security: Evidence from Smallholder Farmers in Tanzania

Lisa Murken, Gregor Mager, Rahel Laudien, Kati Kraehnert and Christoph Gornott

Article Figures & Data

  • Table 1

    Description of Key Variables

    VariableDescription
    Perceived tenure securityHousehold owns at least one plot that it perceives as very tenure secure
    Land conflictHousehold experienced a land conflict in the previous 12 months
    New land certificateHousehold acquired a new land certificate for a plot since the last panel wave or newly acquired a plot with a land certificate
    Dry spellNumber of times a dry spell of 15 consecutive dry days (CDD15) occurred in the previous growing season, with each day < 0.5 mm precipitation
    Precipitation CVCoefficient of variation of the daily precipitation sum in the previous growing season
    Median temperatureMedian of the daily mean temperature in the previous growing season
    Agricultural productionCrop production in kg / ha in the previous season
    Total net incomeNet annual household income, adjusted for purchasing power parity and converted to 2011 US$
    Net wage incomeNet annual wage income, adjusted for purchasing power parity and converted to 2011 US$
    Wage employmentAt least one household member was employed as wage laborer in the year preceding the interview
  • Table 2

    Summary Statistics for Key Variables

    VariableMeanSDMin.Max.N
    Dependent variables
     Perceived tenure security (wave 1)0.360.4801763
     Perceived tenure security (wave 2)0.530.5001760
     Perceived tenure security (wave 3)0.860.3501777
     Land conflict (wave 1)0.100.3001741
     Land conflict (wave 2)0.090.2901763
     Land conflict (wave 3)0.090.2901773
     Pastoral land conflict (wave 1)0.030.1601741
     Pastoral land conflict (wave 2)0.060.2401763
     Pastoral land conflict (wave 3)0.070.2601773
     Other land conflict (wave 1)0.070.2601741
     Other land conflict (wave 2)0.040.1801763
     Other land conflict (wave 3)0.020.1501773
     New land certificate (wave 2)0.020.1401766
     New land certificate (wave 3)0.140.3501766
    Main explanatory variables
     Dry spell (wave 1)0.190.3901778
     Dry spell (wave 2)0.410.4901778
     Dry spell (wave 3)1.450.5002778
     Precipitation CV (wave 1)2.020.171.672.31778
     Precipitation CV (wave 2)1.740.161.472.03778
     Precipitation CV (wave 3)1.540.121.351.86778
    Weather controls
     Median temperature (wave 1)24.950.6922.6925.65778
     Median temperature (wave 2)24.840.7022.9025.61778
     Median temperature (wave 3)23.660.7422.0224.46778
    Household and farm controls
     Household size (wave 1)4.912.26118778
     Household size (wave 2)5.282.33119778
     Household size (wave 3)5.372.32115778
     Household owns livestock (wave 1)0.670.4701778
     Household owns livestock (wave 2)0.820.3901778
     Household owns livestock (wave 3)0.820.3901778
     Farm size (in ha) (wave 1)1.601.030.006.07770
     Farm size (in ha) (wave 2)1.691.030.026.27771
     Farm size (in ha) (wave 3)1.510.920.0026.18777
     Number of plots (wave 1)2.591.1617770
     Number of plots (wave 2)2.451.0517766
     Number of plots (wave 3)2.821.2417777
    Main channels
     Agricultural production (kg/ha) (wave 1)1,643.552,155.630.0014,645.78739
     Agricultural production (kg/ha) (wave 2)1,647.681,849.420.0011,627.17752
     Agricultural production (kg/ha) (wave 3)3,079.354,323.61204.9933,286.53773
     Total net income (wave 1)1,499.741,766.98−584.7010,306.70778
     Total net income (wave 2)1,692.991,995.52−235.6911,821.62778
     Total net income (wave 3)2,137.042,188.23−252.2611,385.66778
     Net wage income (wave 1)276.141,086.490.0017,060.92778
     Net wage income (wave 2)138.00386.480.007,056778
     Net wage income (wave 3)224.10627.450.0010,277778
     Wage employment (wave 1)0.350.4801778
     Wage employment (wave 2)0.420.4901778
     Wage employment (wave 3)0.390.4901777

    Sources: Trans-SEC household panel survey (waves 1–3), CHIRPS (precipitation), and ERA5 (temperature).

    Note: The balanced sample comprises 778 households surveyed in all three waves. For some households, information is missing for some variables.

    • Table 3

      Effects of Weather on Perceived Tenure Security (OLS)

      Dependent VariablePerceived Tenure Security
      (1)(2)(3)(4)
      Dry spell−0.05***−0.05***
      (0.01)(0.01)
      Precipitation CV−0.23***−0.23***
      (0.05)(0.06)
      Median temperature−0.20−0.20−0.06−0.06
      (0.13)(0.13)(0.08)(0.08)
      Household controlsNoYesNoYes
      Household fixed effectsYesYesYesYes
      Enumerator fixed effectsYesYesYesYes
      Wave fixed effectsYesYesYesYes
      R-squared0.790.790.790.79
      N2,2882,2882,2882,288

      Sources: Trans-SEC household panel survey (waves 1–3), CHIRPS (precipitation), and ERA5 (temperature).

      Note: Standard errors are clustered at the level of the precipitation data points.

      • * p < 0.10;

      • ** p < 0.05;

      • *** p < 0.01.

    • Table 4

      Effects of Weather on Land Conflict (OLS)

      Dependent VariableAny Land ConflictConflicts with PastoralistsOther Land Conflicts
      (1)(2)(3)(4)(5)(6)(7)(8)
      Dry spell0.05***0.05***0.02*0.03***
      (0.01)(0.01)(0.01)(0.01)
      Precipitation CV0.16***0.16***0.10***0.06***
      (0.02)(0.03)(0.02)(0.02)
      Median temperature−0.13***−0.13***−0.25***−0.25***−0.11**−0.17**−0.02−0.08***
      (0.04)(0.04)(0.07)(0.08)(0.04)(0.07)(0.02)(0.02)
      Household controlsNoYesNoYesYesYesYesYes
      Household fixed effectsYesYesYesYesYesYesYesYes
      Enumerator fixed effectsYesYesYesYesYesYesYesYes
      Wave fixed effectsYesYesYesYesYesYesYesYes
      R-squared0.520.520.520.520.550.560.460.45
      N2,2662,2662,2662,2662,2662,2662,2662,266

      Sources: Trans-SEC household panel survey (waves 1–3), CHIRPS (precipitation), and ERA5 (temperature).

      Note: Standard errors are clustered at the level of the precipitation data points.

      • * p < 0.10;

      • ** p < 0.05;

      • *** p < 0.01.

    • Table 5

      Effects of Weather on the Acquisition of Land Certificates (OLS)

      Dependent VariableNew Land Certificate
      (1)(2)(3)(4)(5)(6)
      Dry spell (lag 1)0.04***0.03***0.03***
      (0.01)(0.01)(0.01)
      Dry spell−0.02−0.01
      (0.02)(0.02)
      Precipitation CV (lag 1)−0.06*−0.21***−0.16**
      (0.03)(0.05)(0.06)
      Precipitation CV−0.27***−0.22**
      (0.08)(0.09)
      Median temperature0.13***0.060.070.14***−0.020.01
      (0.04)(0.10)(0.08)(0.04)(0.04)(0.05)
      Household controlsNoNoYesNoNoYes
      Household fixed effectsYesYesYesYesYesYes
      Enumerator fixed effectsYesYesYesYesYesYes
      Wave fixed effectsYesYesYesYesYesYes
      R-squared0.660.660.680.660.670.68
      N1,5211,5211,5161,5211,5211,516

      Sources: Trans-SEC household panel survey (waves 1–3), CHIRPS (precipitation), and ERA5 (temperature).

      Note: Standard errors are clustered at the level of the precipitation data points.

      • * p < 0.10;

      • ** p < 0.05;

      • *** p < 0.01.

    • Table 6

      Potential Weather Impact Channel (OLS)

      Dependent VariableAgricultural Production (kg/ha) (Inverse Hyperbolic Sine)Net Household Income (Inverse Hyperbolic Sine)Net Wage Income (Inverse Hyperbolic Sine)Wage Employment
      (1)(2)(3)(4)(5)(6)(7)(8)
      Dry spell (lag 1)−0.11**0.120.220.03
      (0.05)(0.08)(0.16)(0.02)
      Dry spell−0.45***−0.18***0.14 *0.02**
      (0.02)(0.06)(0.07)(0.01)
      Precipitation CV (lag 1)−0.250.430.84**0.14
      (0.24)(0.54)(0.32)(0.09)
      Precipitation CV−1.30***−0.94***0.88***0.13***
      (0.08)(0.30)(0.26)(0.04)
      Median temperature−1.02−0.08−0.330.342.41***2.16***0.34***0.30***
      (0.84)(0.62)(0.38)(0.31)(0.65)(0.53)(0.09)(0.07)
      Household controlsNoNoNoNoNoNoNoNo
      Household fixed effectsYesYesYesYesYesYesYesYes
      Enumerator fixed effectsYesYesYesYesYesYesYesYes
      Wave fixed effectsYesYesYesYesYesYesYesYes
      R-squared0.580.570.390.400.580.580.580.58
      N2,2522,2522,3222,3222,3222,3222,3212,321

      Sources: Trans-SEC household panel survey (waves 1–3), CHIRPS (precipitation), and ERA5 (temperature).

      Note: Standard errors are clustered at the level of the precipitation data points.

      • * p < 0.10;

      • ** p < 0.05;

      • *** p < 0.01.