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The Role of Infrastructure in Reducing Chronic and Transient Poverty : The Case of JBIC Supported Irrigation Project in Sri Lanka PowerPoint PPT Presentation


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The Role of Infrastructure in Reducing Chronic and Transient Poverty : The Case of JBIC Supported Irrigation Project in Sri Lanka. Yasuyuki Sawada, Masahiro Shoji, and Shinya Sugawara University of Tokyo. Research Objective and Strategy.

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The Role of Infrastructure in Reducing Chronic and Transient Poverty : The Case of JBIC Supported Irrigation Project in Sri Lanka

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The Role of Infrastructure in Reducing Chronic and Transient Poverty: The Case of JBIC Supported Irrigation Project in Sri Lanka

Yasuyuki Sawada,

Masahiro Shoji, and Shinya Sugawara

University of Tokyo


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Research Objective and Strategy

  • Is infrastructure an effective and efficient device to reduce poverty?

  • Does irrigation infrastructure play an important role in reducing chronic and transient poverty?

  • Research strategy: evaluation of a large irrigation infrastructure project in Southern Sri Lanka funded by the Japanese government through JBIC


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Presentation Outline

  • Overview of the project

  • Data description

  • Econometric analysis

  • Results


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JBIC’s WLB project in Sri Lanka to be examined

  • The Walawe Left Bank Upgrading and Extension Project

    • Initiated in 1997

    • Funded by the Japanese gov’t through JBIC

    • Improvements of irrigation systems completed in 2001 (Phase I)

    • On-going extensions (Phase II-)


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Maha

(Rainy)

Yala

(Dry)

Maha

(Rainy)

Yala

(Dry)

Oct.

2000

1st

May

2001

2nd

Jul.

3rd

Oct.

4th

May

2002

5th

Sep.

JBIC Institute’s Evaluation Project in Sri Lanka

  • “Impact assessment of irrigation infrastructure development on poverty reduction”

    • Collaboration with IWMI

    • 858 households were randomly sampled from six strata of the whole left bank area

    • Unique household panel data exclusively for the study

  • Rare seasonal panel for two years:


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Descriptive statistics Fig 1. Average monthly expenditure per adult male

Rainy season: Oct~March (Maha); Dry season: April~Sep (Yala)


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Descriptive statistics Fig 2. Average monthly Ag. Income per adult male

Rainy season: Oct~March (Maha); Dry season: April~Sep (Yala)

Average income: 799Rs. in irrigated, 610Rs. in rainfed.


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Empirical model A

  • Estimation equation a la Paxson (1993)

  • We regress monthly household expenditure (E) on

    • constant

    • log income (lnY)

    • monthly dummies (M)

    • interactions of M with irrigation dummies (z).


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Table 5. Estimation result of model A

t-values in parentheses.


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Estimation Result of Empirical Model A:Fig 3. Month effects of expenditure by irrigation availability

Rainy season: Oct~March (Maha); Dry season: April~Sep (Yala)


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There are significant differences in the month effects b/w irrigated and rainfed areas:

Chronic poverty is more serious in the rainfed area

Decreasing month effects of non-food consumption in planting season, suggesting transient poverty in both areas

Summary of empirical model A


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Empirical model B

  • Consider poverty dynamics, particularly the role of credit explicitly

  • Estimation equations (Type 5 Tobit model):

ifHj < 0, If credit constraint is binding

ifHj 0. If credit constraint is not binding


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Estimation result of empirical model B:Probit estimation of credit constraint eq. (reduced form version of Table 7)


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Table 8 and 9. Estimation result of model B:

t-values in parentheses.


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Estimation result of empirical model B: unconstrained group (Table 5)

Rainy season: Oct~March (Maha); Dry season: April~Sep (Yala)


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Estimation result of empirical model B: Credit constrained group (Table 4)

Rainy season: Oct~March (Maha); Dry season: April~Sep (Yala)


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Access to irrigation mitigates :

probability of binding credit constraint

negative welfare effects of credit constraints

The monthly effects for the irrigated group seems consistently larger than those for the rainfed group.

Statistically, the difference is significant for un-constrained group

As to the constrained group, the gap of non-food consumption during Yala season is significant

However, credit constraints cannot fully explain the remaining differences in the month effects between the irrigated and rainfed groups, suggesting that irrigation accessibility reduce poverty through multiple paths other than improvements in credit accessibilities.

Summary of empirical model B


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A test of the model structure

  • We test the validity of Paxson (1993) structure by using the following framework:

    • Examine whether household expenditure is sensitive to income changes, treating the change as an endogenous variable

    • Investigate the coefficients on income variability π where the lack of credit accessibility will enhance vulnerability even with irrigation.

ifHj < 0, If credit constraint is binding

ifHj 0. If credit constraint is not binding


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Table 11 and 12 A test of the model structure

t-values in parentheses.


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Concluding remarks

  • Irrigation reduces chronic poverty by enhancing permanent income possibly through improving productivity of agriculture.

  • Access to Irrigation enhances credit availability of households

    • Theoretically, this will mitigate the negative welfare effects arising from seasonality, i. e., transient poverty

  • However, credit constraints cannot fully explain the remaining differences in the month effects between the irrigated and rainfed groups.

    • This suggest that irrigation accessibility reduce poverty through multiple paths other than improvements in credit accessibilities.


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Thank you very much!


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