Open Access

Valuing the Environmental Benefits of Canals and Canal Restoration Using House Prices

Stephen Gibbons, Cong Peng and Cheng Keat Tang

Article Figures & Data

  • Table 1 Baseline Results: Effects of Canal Proximity on House Prices
    Distance Band(1)(2)(3)(4)
    <=100 m0.0522***
    (0.0107)
    0.0489***
    (0.0107)
    0.0400***
    (0.0100)
    0.0317***
    (0.0091)
    101–200 m−0.0052
    (0.0079)
    −0.0045
    (0.0088)
    0.0009
    (0.0086)
    −0.0003
    (0.0079)
    201–300 m−0.0201***
    (0.0070)
    −0.0106
    (0.0084)
    −0.0038
    (0.0078)
    −0.0025
    (0.0072)
    301–400 m−0.0182***
    (0.0067)
    −0.0083
    (0.0078)
    −0.0043
    (0.0072)
    −0.0013
    (0.0065)
    401–500 m−0.0247***
    (0.0068)
    −0.0106
    (0.0073)
    −0.0060
    (0.0067)
    −0.0009
    (0.0061)
    501–600 m−0.0124*
    (0.0064)
    −0.0051
    (0.0064)
    −0.0005
    (0.0061)
    0.0031
    (0.0055)
    601–700 m−0.0069
    (0.0063)
    −0.0011
    (0.0060)
    −0.0005
    (0.0057)
    0.0028
    (0.0050)
    701–800 m−0.0104*
    (0.0062)
    0.0006
    (0.0054)
    0.0007
    (0.0047)
    0.0039
    (0.0042)
    801–900 m−0.0036
    (0.0059)
    0.0029
    (0.0048)
    0.0037
    (0.0040)
    0.0035
    (0.0037)
    901–1000 m−0.0144**
    (0.0057)
    −0.0054
    (0.0042)
    0.0003
    (0.0036)
    0.0003
    (0.0034)
    LADs × years × quartersXXXX
    House structureXXXX
    LocationXXX
    Land coverXXX
    EmploymentXXX
    MSOA fixed effectsX
    LSOA fixed effectsX
    NeighbourhoodX
    Observations2,048,7232,048,7232,048,7232,048,723
    R-squared0.720.780.800.81
    Mean house prices (£)234,907.76234,907.76234,907.76234,907.76
    • Note: Dependent variable is natural log of transacted house prices. Housing structure characteristics include size, number of rooms, fireplace, new build, energy efficiency, flat type, and tenure. Location controls include distance from various nature features (river, lakes, docks, bridges, embankments, reservoirs), transportation nodes (rail, rapid lines), and town center. Land cover controls include dummy variables for land uses around the postcode that include urban land, suburban, arable land, grassland, rock land, woodland. Employment controls include share of employment in various sectors (e.g., manufacturing, wholesale, retail) collected at the LSOA of postcode. Neighborhood controls include unemployment rate, population density, population size, percentage of residents who are illiterate, non-European, nonwhite, and percentage of households with lone parents, without cars, who are social renters, who are homeowners. All these neighborhood controls are collected at OA level. See Appendix Table A1 for more details on the variables included. Absolute price change is computed by multiplying the average transacted prices with the estimated premium for properties within 100 meters from the nearest canal. Standard errors are clustered at LSOA level in columns (1), (3), and (4) and clustered at MSOA level in column (2).

    • *, **, *** denote significance level at 10%, 5%, and 1%, respectively.

  • Table 2 Heterogeneous Effects of Canal Proximity on House Prices
    Distance Band(1)
    Urban
    (2)
    Urban/Suburban
    (3)
    No Rivers
    (4)
    No Green Space
    <=100 m0.0268***
    (0.0058)
    0.0136
    (0.0164)
    0.0583***
    (0.0086)
    0.0567***
    (0.0090)
    <=100 m in area specified0.0710***
    (0.0168)
    0.0726***
    (0.0181)
    −0.0151
    (0.0174)
    −0.0015
    (0.0128)
    Observations2,048,7232,048,7232,048,7232,048,723
    R-squared0.780.780.780.78
    Absolute price change (mean) £24,122.2814,274.9310,384.6213,324.18
    • Note: Dependent variable is natural log of transacted house prices. Column headings: (1) urban area, (2) urban or suburban area, (3), no rivers within 870 m (top quartile), (4) no green space within 250 m (top quartile). Specification controls for structural characteristics, distances to other water features, rail and town centers, land cover categories, employment variables at LSOA level, MSOA fixed effects, LAD × year × quarter fixed effects. See Appendix Table A1 for the exact list of variables included for each set of controls. Absolute price change is calculated by multiplying the average transacted prices on the estimated premium (main effect plus interaction effect) for properties within 100 m from canal. Average transacted price for regression sample is £234,908. Standard errors are clustered at LSOA level.

    • *, **, *** denote significance level at 10%, 5%, and 1%, respectively.

  • Table 3 Willingness to Pay for Property 0–100 m from Canals, by Year
    Year(1)
    Willingness to Pay
    £Nominal
    (2)
    Willingness to Pay
    £2016
    (3)
    Annual Equivalent at 3.5%
    Discount Rate
    20029,66013,058457
    200310,88614,520508
    200411,62215,298535
    200511,27814,542509
    200612,18015,350537
    200714,21117,494612
    20087,7559,220323
    20098,2269,566335
    20106,4477,262254
    20116,3936,892241
    20124,0964,292150
    20135,6125,738201
    20147,8367,891276
    20158,1558,212287
    20167,8267,826274
    • Note: The monetary equivalents for each year are obtained by multiplying the percentage canal premium for each year by the mean price in the sample of properties 0–1,500 m from a canal in each year. The table shows the amounts in nominal terms, converted to 2016 prices using the Consumer Price Index, and the annual equivalents assuming a discount rate of 3.5%.