129x Filetype PDF File size 0.32 MB Source: documentacion.ideam.gov.co
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 1
no reviews yet
Please Login to review.