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Environmental Data in the Developing World: differing expectations from the west

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Ambient environmental quality pollutant levels in air, water, and soil ... meaningful indicators and to analyze environmental and economic policy issues. ... – PowerPoint PPT presentation

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Title: Environmental Data in the Developing World: differing expectations from the west


1
Environmental Data in the Developing World
differing expectations from the west
  • Dr. Joy E. Hecht
  • Consultant on Environmental
  • Economics and Policy

2
Objectives
  • Identify key issues that arise in third world
    data development that differ from the west.
  • Consider patterns that emerge in developing
    country data availability, which should be taken
    into account in considering the development of
    indicators.

3
What kinds of data do we want?
  • Spatial information about natural resources and
    land includes a wide range of data
  • Ambient environmental quality pollutant levels
    in air, water, and soil
  • Pollutant discharges into air, water, and soil,
    by source or economic activity
  • Data about human activities that rely on or
    affect the environment

4
About basic data needs
  • All of these data are combined both to develop
    meaningful indicators and to analyze
    environmental and economic policy issues.
  • Often there is poor understanding of
  • Distinction between emissions and ambient data
  • Why economic and social data are essential for
    environmental management
  • Importance of linking environmental data to
    economic classifications such as ISIC.

5
Indicators vs. Data for Policy Analysis
  • Indicators are useful as a flag, to alert
    attention to problems or give a quick overview of
    trends.
  • Policy analysis requires more detailed data.
  • If the detailed data exist, they can be used for
    either purpose, but indicators cannot be used for
    policy analysis.

6
Problems in collection of primary data
  • Domestic funds often are not available for
    consistent collection of time series data.
  • Donor resources play a key role however donors
    typically will not fund ongoing activities,
    preferring one-time efforts.
  • Data essential for economic management are more
    likely to be collected by government, e.g. water
    and tourism in Egypt, forests in the Philippines.

7
Available internationally comparable data
  • Some internationally-comparable data can be
    derived from top-down sources GHG emissions
    from fuel combustion (from ORNL), small scale
    LU/LC (from satellite images), etc.
  • Existence of such data does not indicate that the
    countries have underlying detail.
  • Small-scale global databases cannot be
    disaggregated to learn more about the countries.

8
Influence of Donor Funding
  • Donor preferences for cutting edge efforts or
    leveraging their resources mean they will not
    support operational data collection.
  • In poor countries, therefore, data such as forest
    inventories, access to satellite imagery, even
    censuses of population, are intermittent rather
    than regular, based on donor interest.

9
A few politically-driven exceptions
  • WMO support for collection of weather data in the
    Sahel and elsewhere
  • USAID and EU support for collection of food
    security data in sub-Saharan Africa
  • Both were driven by food crises that caused
    political crises in the west, hence ongoing
    foreign funding for them.
  • Similarly western countries have good data on
    energy, because of the oil crises of the 1970s
    these are now used to estimate GHG emissions.

10
International standards have influence
  • International norms such as SNA, SDDS, measures
    calculated by World Bank or IMF, do lead to
    standard core data.
  • UN Statistical Commission adoption of
    environmental accounts and WTO adoption of
    tourism accounts has created some interest in
    developing them.

11
Environmental Accountingin particular
  • Environmental accounts help policy analysis by
    linking economic and environmental data.
  • They permit calculation of simple indicators.
  • Many countries prefer to focus first on simply
    improving environmental statistics.
  • Certain key elements underlying the accounts
    e.g. organizing emissions and resource use data
    by ISIC may have greater payoff than building
    full accounts.
  • Few countries are interested in green GDP.
    Adjusted net savings may be more useful.

12
International norms for environmental indicators
  • International indicator systems such as
    Mediterranean Blue Plan or UNEP sustainability
    indicators are often not appropriate for
    individual countries for ecological reasons.
  • If no funding is available for data collection,
    and funding does not depend on these indicators,
    countries will not invest in developing them.

13
How useful areinternational norms?
  • Should countries invest in developing
  • indicators to meet international needs?
  • Such indicators are interesting for people like
    us, or to assess countries from outside.
  • If they are not also useful internally within the
    country, then they may be an imposition not
    justified by national needs.

14
Data Access is a MAJOR Problem
  • No FOIA outside the US!
  • Data are the turf of the agency collecting them
    and will not be shared freely.
  • Sometimes data are bartered for among agencies
    Ill show you mine if you show me yours.
  • Metadata do not exist, so even finding out what
    data are out there is difficult.
  • Improving metadata might make it easier to
    improve data access as well.

15
Donor role in data sharing
  • Sometimes donors supporting data collection put
    them on the web.
  • More often donors interested in free-market
    approaches want countries to sell the data to
    cover costs of collecting them.
  • This is neither realistic nor desirable.
  • The total cost of data collection is large the
    marginal cost of supplying it to another user is
    virtually zero. It should be priced at its
    marginal cost.
  • One persons use does not reduce what is
    available to others the more use, the better off
    the society will be.

16
Recommendations for an indicator
  • Keep it simple do not add to countries
    workloads by asking for additional work to create
    this indicator.
  • Time series measures will be more useful in
    assessing country progress than measures for a
    single time period.
  • If the indicator comes from international work,
    do not assume that it will be useful to the
    countries as well.
  • The devil is in the details! Dont make
    assumptions about what the indicator means if you
    dont know exactly how it was calculated.

17
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