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IPPSIPPS
THE INDUSTRIAL POLLUTION PROJECTION SYSTEM
by
Hemamala Hettige*
Paul Martin
Manjula Singh
David Wheeler
December, 1994
*
The authors are, respectively, Economist, Environment,
Infrastructure and Agriculture Division (PRDEI), Policy Research
Dept., World Bank; Consultant, Environment Unit, EA3, World Bank;
Ph.D. Candidate, Boston University; and Principal Economist,
PRDEI, World Bank The research reported in this paper was
undertaken in collaboration with the Center for Economic Studies,
U.S. Bureau of the Census. Our thanks to the US Environmental
Protection Agency for providing the industrial pollution data and
to Angela Williams for invaluable assistance with preparation of
final text and tables.
Table of Contents
EXECUTIVE SUMMARY 1
1. INTRODUCTION 6
2. BUILDING BLOCKS FOR PLANT LEVEL DATABASES 8
2.1 US EPA Emissions Databases 8
2.1.1 The Toxic Release Inventory (TRI) 9
2.1.2 Aerometric Information Retrieval System (AIRS) 11
2.1.3 National Pollutant Discharge Elimination System (NPDES) 12
2.2 The Human Health and Ecotoxicity Database (HHED 12
2.3 The Longitudinal Research Database (LRD) 13
3. POLLUTION INTENSITY INDEX CONSTRUCTION 15
3.1. The Conceptual Goal 15
3.2. Operational Complexities 16
3.2.1 Merger of the EPA and LRD files 16
3.2.2 The Choice of a Numerator 16
3.2.3. The Choice of a Denominator 18
3.2.4 Alternative Estimates of Sectoral Pollution Intensities 19
3.2.5. Remapping US Facilities to 4-digit ISIC 20
4. CONSTRUCTION OF A TOXIC POLLUTION RISK INTENSITY INDEX 21
4.1. Calculation of Risk-Weighted and Unweighted Releases and Transfers 21
4.2. Scaling by Shipment Value to Give Pollution Intensity 23
4.3. Results 24
ii
5. ALTERNATIVE ESTIMATES, CHOICE OF DENOMINATORS, 35
BOX 1: MAJOR AIR, WATER AND TOXIC POLLUTANTS 36
5.1 Alternative Estimates of Sectoral Pollution Intensities 38
5.2 Different Measures of Activity 39
5.3 Medium-Specific Intensities 40
5.3.1 Total Toxic Pollution Intensities by Medium 41
5.3.2 Metals Intensities 50
5.3.3 Air Pollution Indicators 54
5.3.4 Water Pollution Indicators 61
6. CRITICAL ASSESSMENT AND PLANS FOR FURTHER WORK 66
6.1. Sources of Bias 66
6.2. International Applicability 67
6.3. Plans for Further Work 68
iii
Executive Summary
The World Bank's technical assistance work with new environmental
protection institutions (EPI's) stresses cost-effective
regulation, with implementation of market-based pollution control
instruments wherever this is feasible. At present, however, few
EPI's can do the requisite benefit-cost analysis because they
lack data on industrial emissions and abatement costs. For the
foreseeable future, appropriate estimation methods will therefore
have to be employed as complements to direct measures of
environmental parameters at the firm level. We are developing
the Industrial Pollution Projection System (IPPS) as a
comprehensive response to this need. Estimation of IPPS
parameters is also giving us a much clearer and more detailed
view of the sources of industrial pollution. In this paper, we
report on our findings to date.
IPPS has been developed to exploit the fact that industrial
pollution is heavily affected by the scale of industrial
activity, its sectoral composition, and the process technologies
which are employed in production. Although most developing
countries have little or no industrial pollution data, many of
them have relatively detailed industry survey information on
employment, value added or output. IPPS is designed to convert
this information to the best feasible profile of the associated
pollutant output for countries, regions, urban areas, or proposed
new projects. It operates through sector estimates of pollution
intensity, or pollution per unit of activity.
We are developing IPPS in two phases. We have estimated the
first prototype from a massive U.S. data base, developed by PRDEI
in collaboration with the Center for Economic Studies of the U.S.
Census Bureau and the U.S. Environmental Protection Agency. This
data base was created by merging Manufacturing Census file data
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