50 lines
2.8 KiB
YAML
50 lines
2.8 KiB
YAML
citation: Adam2018
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author: Adam, C., Bevan, D., & Gollin, D.
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year: 2018
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title: "Rural-urban linkages, public investment and transport costs: The case of tanzania"
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publisher: World Development
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uri: https://doi.org/10.1016/j.worlddev.2016.08.013
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pubtype: article
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discipline: development
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country: Tanzania
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period: 2001
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maxlength:
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targeting: explicit
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group: rural workers
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data: national Tanzania Social Accounting Matrix (SAM, 2001); national administrative survey Integrated Labor Force Survey (2001), Tanzania Agricultural Sample Census (2003)
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design: simulation
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method: general equilibrium model
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sample: 7
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unit: household
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representativeness: subnational, rural
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causal: 1 # 0 correlation / 1 causal
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theory: transport cost burden approach
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limitations: can not account for population change (e.g. pop growth); causality based on model only
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observation:
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- intervention: infrastructure
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institutional: 0
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structural: 1
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agency: 0
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inequality: spatial; income
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type: 1 # 0 vertical / 1 horizontal
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indicator: 0 # 0 absolute / 1 relative
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measures: real consumption wage differences
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findings: results depend on financing scheme, each financing scheme entails some households being worse off; rural households worse off when infrastructure is deficit-financed or paid through tariff revenue; rural households benefit most when financed through consumption taxes or by external aid
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channels: movement of rural workers out of quasi-subsistence agriculture to other locations and sectors
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direction: -1
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significance: 2 # 0 nsg / 1 msg / 2 sg
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notes: there can be spatial differences to how connected regions within a country are to markets purely due to transport costs
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annotation: |
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A study modeling the effects of transport infrastructure investments in Tanzania on rural income inequalities and household welfare inequalities, modeled through consumption indicators.
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Generally it finds that the results of public investment measures into transport infrastructure largely depend on the financing scheme used.
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Comparing four financing schemes when looking at the effects on rural households, it finds that they are generally worse off when the development is deficit-financed or paid through tariff revenues.
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On the other hand, rural households benefit through increased income from measures financed through consumption taxes, or by external aid.
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The general finding is that there is no pareto optimum for any of the investment measures for all locations,
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and that much of the increases in welfare are based on movement of rural workers out of quasi-subsistence agriculture to other locations and other sectors.
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The study creates causal inferences but is limited in its modeling approach representing a limited subset of empirical possibility spaces,
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as well as having to make the assumption of no population growth for measures to hold.
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