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Risk Management Strategies and Labour Productivity in Rural Africa

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Panel data : Kagera Health and Development Survey from 1991 to 1994 ... Policy implications: International Community : reinsurance or subsidies to help excluded ... – PowerPoint PPT presentation

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Title: Risk Management Strategies and Labour Productivity in Rural Africa


1
Risk Management Strategies and Labour
Productivity in Rural Africa
  • Taro BOEL
  • Food Security and Sustainable Development
    Division
  • United Nations Economic Commission for Africa
  • African Economic Conference
  • 11-13 November 2009
  • Addis Ababa

2
OUTLINE
  • Context of risk management in Africa
  • What are the risk management strategies?
  • What link with labour productivity in Africa?
  • How to improve labour productivity in rural
    Africa?

3
Context of risk management?
  • The African farmer is facing various risks
  • Four types of risks are identified by Weinberger
    and Jutting (2000)
  • Health risks are among the most important in
    Africa (eg. De Weerdt and Dercon ,2006 in
    Kagera,Tanzania)

4
What are the risk management strategies?
  • To reduce the exposure to shocks (risk management
    strategies) Ex ante actions
  • To deal with the shocks (risk coping
    strategies)ex post actions

5
What link with labour productivity in rural
Africa?
  • Risk Management Strategies
  • Fluctuations of food consumption
  • Health
  • Weak capacity of performing physically
    demanding work
  • Labour Productivity

6
The model and data
  • Model
  • varbmiit f (ageyrit, ageyrsqit, genderi,
    ruralit, grdit, illdaysit, explhlthit,
    varexpfoodit, hhsizeit, cleanwaterit, incagrit,
    incemplit,increntit, inctransit, savingit,
    acqsloanit, error term)
  • Data used
  • Panel data Kagera Health and Development Survey
    from 1991 to 1994
  • LSMS type of survey with some modifications
    panel data, more detail information on some
    variables

7
Estimation of the model
  • Ordinary Least Squares (OLS) Estimator not
    suitable because of unobservable factors (genetic
    factor)
  • Choice between Random Effect and Fixed Effect
    Hausman test not very conclusive
  • Random Effect to estimate the coefficient of
    time-invariant regressor such as gender

8
Econometric issues
  • A Chicken-and-egg problem (endogeneity) Does
    good health (BMI) lead to higher income? Or does
    higher income lead to better health?
  • Hausman Test The P-value of the test is 0.21 so
    I cannot reject the null hypothesis of exogeneity

9
Main Results
  • Expenditures related to health have a negative
    effect on the variation BMI
  • Income from transfers has a positive effect on
    the variation of BMI (same size)
  • Income from employment has a negative effect on
    the variation of BMI.

10
Main Results
  • All types of income are jointly significant while
    some (incagr and incrent) are not significant
    individually
  • Sensitivity analysis Hausman Taylor Estimator,
    robust results for sign but not for size of
    coefficients and their significancy
  • Why formal health insurance? Because when people
    are insured they do not wait until the illness
    gets worst.

11
How to improve labour productivity in rural
Africa?
  • Policy implications
  • International Community reinsurance or
    subsidies to help excluded poor people to have
    access to insurance schemes
  • Public intervention to address weak links such
    as regulatory framework, its enforcement and
    quality of health care
  • Private sector seize the opportunities in the
    demand of insurance.

12
Thanks for your kind attention
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