Adaptation to Natural Disasters through the Agricultural Land Rental Market: Evidence from Bangladesh

Shaikh M. S. U. Eskander and Edward B. Barbier

Article Figures & Data

  • Table 1

    Summary Statistics

    VariableDescriptionSurvey Rounds
    BIHS 2011BIHS 2015
    Flood1 if the household was exposed to floods between BIHS 1 and 2; 0 if not0.03140.0314
    (0.174)(0.174)
    Storm1 if the household was exposed to storms between BIHS 1 and 2; 0 if not0.03240.0324
    (0.177)(0.177)
    ProfitTotal farm profits from cultivation, adjusted for rental transactions and costs of production1.6950.887
    (2.734)(1.924)
    Tenants1 if participates in rent-in transactions; 0 otherwise0.3990.366
    (0.490)(0.482)
    Rent-in landTotal area of rented in and operated arable land (ha)0.1300.124
    (0.268)(0.301)
    Landlords1 if participates in rent-out transactions; 0 otherwise0.2200.256
    (0.414)(0.436)
    Rent-out landTotal area of rent-out arable land (ha)0.07660.0903
    (0.259)(0.275)
    LandholdingTotal area of owned arable land (ha)0.2080.218
    (0.427)(0.450)
    AgeAge of the household head (completed years)44.9947.84
    (13.68)(13.35)
    Family sizeNumber of family members in the household4.2454.875
    (1.562)(1.827)
    EducationYears of education of the highest educated family member6.6127.452
    (3.657)(3.604)
    Extension1 if the household was in contact with agricultural extension services in the last 12 months; 0 otherwise0.07270.0811
    (0.260)(0.273)
    Subsidy1 if the household holds an agricultural subsidy card; 0 otherwise0.1050.168
    (0.307)(0.374)
    Transportation1 if the household is located within 1 km of a bus stop, main road, or train station; 0 otherwise0.6210.701
    (0.485)(0.458)
    Finance1 if the household is located within 2 km of a bank or a microfinance NGO; 0 otherwise0.2640.242
    (0.441)(0.428)
    Tractor1 if the household owns a tractor or plow-yoke; 0 otherwise0.1090.0764
    (0.311)(0.266)
    Idiosyncratic shock1 if the household experienced any idiosyncratic shocks between BIHS 1 and 2; 0 if not0.3630.363
    (0.481)(0.481)
    Rainfall deviationDeviation of monsoon rainfall from long-term average level of rainfall−18.92−21.86
    (25.02)(23.49)
    • Note: Standard deviations are shown in parentheses. All data are from the Bangladesh Integrated Household Survey (BIHS) data set rounds 1 and 2. All monetary values are expressed in thousands of US$ in purchasing power parity terms at the rates 26.61 and 21.87 Bangladeshi taka for BIHS rounds 1 and 2, respectively. All land measures are expressed in hectares, where 100 decimals = 1 acre = 0.405 ha.

  • Table 2

    Participation and Transaction Decisions

    VariableParticipationTransactions
    Pr(Rent In)Pr(Rent Out)Rent InRent Out
    Flood × postyear0.0460.0290.314**0.339
    (0.060)(0.055)(0.144)(0.250)
    Storm × postyear0.0470.0210.1320.335**
    (0.049)(0.039)(0.101)(0.133)
    Age0.0050.0020.021**0.025*
    (0.005)(0.003)(0.010)(0.013)
    Family size0.003−0.0030.056*0.001
    (0.011)(0.009)(0.030)(0.036)
    Landholding−0.267***0.501***−0.904***1.103***
    (0.073)(0.088)(0.198)(0.287)
    Education0.004−0.0000.020**−0.021
    (0.004)(0.003)(0.010)(0.016)
    Extension0.091***−0.0010.205***0.047
    (0.026)(0.022)(0.054)(0.136)
    Subsidy0.044*−0.0190.0800.024
    (0.023)(0.021)(0.067)(0.101)
    Transportation0.026*0.0150.085**0.060
    (0.014)(0.014)(0.038)(0.048)
    Finance0.0140.003−0.042−0.023
    (0.016)(0.015)(0.044)(0.069)
    Tractor0.079*−0.0530.207***−0.097
    (0.043)(0.035)(0.075)(0.185)
    Idiosyncratic shocks x postyear0.0130.0200.0320.126
    (0.020)(0.017)(0.067)(0.078)
    Rainfall deviation−0.0000.0000.001−0.001
    (0.000)(0.000)(0.001)(0.001)
    Rainfall deviation x postyear0.000−0.0010.001−0.001
    (0.001)(0.000)(0.001)(0.002)
    Constant0.1390.043−2.245***−3.153***
    (0.229)(0.151)(0.502)(0.606)
    Observations9,5789,5784,7982,986
    R-squared/pseudo R-squared0.7770.8020.2140.309
    HH fixed effectYesYesYesYes
    Year fixed effectYesYesYesYes
    • Note: Robust standard errors clustered at the union level are shown in parentheses. The results for participation choices are from linear probability model regressions with two-way fixed effects according to specification [5]; the results for rental transactions are from Poisson pseudo-maximum likelihood regressions with two-way fixed effects according to specification [6]. Outcome and explanatory variables follow the definitions in Table 3. All monetary values are expressed in thousands of US$ in purchasing power parity terms at the rates 26.61 and 21.87 Bangladeshi taka for Bangladesh Integrated Household Survey data set rounds 1 and 2, respectively. All land measures are expressed in hectares, where 100 decimals = 1 acre = 0.405 ha.

    • * p < 0.1;

    • ** p < 0.05;

    • *** p < 0.01.

  • Table 3

    Effects on Agricultural Income

    VariableRent InRent Out
    Land rent in0.571
    (0.713)
    Land rent out−0.091
    (0.083)
    Flood × postyear−0.570*−0.470
    (0.339)(0.301)
    Storm × postyear−0.788***−0.751***
    (0.283)(0.278)
    Constant1.116***1.370***
    (0.281)(0.028)
    Observations9,5789,578
    R-squared0.8180.819
    HH fixed effectYesYes
    Year fixed effectYesYes
    • Note: Standard errors are shown in parentheses. The two-way fixed-effect panel regression models follow specification [7]. Outcome and explanatory variables follow the definitions in Table 3. All monetary values are expressed in thousands of US$ in purchasing power parity terms at the rates 26.61 and 21.87 Bangladeshi taka for Bangladesh Integrated Household Survey data set rounds 1 and 2, respectively. All land measures are expressed in hectares, where 100 decimals = 1 acre = 0.405 ha.

    • * p < 0.1;

    • ** p < 0.05;

    • *** p < 0.01.

  • Table 4

    Rent-In and Rent-Out Margins

    MarginRent-In MarginsRent-Out Margins
    MeanSDMin.Max.MeanSDMin.Max.
    Flood
    Intensive margin−0.5700−0.570−0.570−0.4700−0.470−0.470
    Extensive margin0.01160.01300.0001720.221−0.002910.00467−0.0765−7.34e-05
    Total margin−0.5590.0130−0.570−0.349−0.4730.00467−0.546−0.470
    Storm
    Intensive margin−0.7880−0.788−0.788−0.7510−0.751−0.751
    Extensive margin0.004870.005327.25e-050.0933−0.002820.00450−0.0755−7.25e-05
    Total margin−0.7840.00532−0.788−0.695−0.7540.00450−0.827−0.751
    • Note: Rent-in and rent-out margins are calculated according to equations [5][9].