Title: Environmental Data in the Developing World: differing expectations from the west
1Environmental Data in the Developing World
differing expectations from the west
- Dr. Joy E. Hecht
- Consultant on Environmental
- Economics and Policy
2Objectives
- 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.
3What 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
4About 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.
5Indicators 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.
6Problems 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.
7Available 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.
8Influence 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.
9A 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.
10International 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.
11Environmental 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.
12International 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.
13How 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.
14Data 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.
15Donor 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.
16Recommendations 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.
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