The best environmental practices of leading countries, should be replicated in India too...
In developing the list of 25 pollution control and natural resource management metrics that comprise the Environmental Performance Index (EPI, we made a careful review of the scientific literature as well as a broad-based understanding of the challenges that face environmental policymakers. We developed a “model” based on six core categories of environmental activity with a set of six additional sub-categories on which we also report results. This framework was peer reviewed by leading environmental scientists.
With a set of issues to track defined by the theory and practice of environmental science, we then looked to see which of these areas of concern had data to allow us to track results. Where data was limited, we looked for “proxy” variables that provided some gauge of the issue in question. In each case, we look for “output” measures based on actual, on-the-ground environmental results, measured in terms of the distance from established policy targets, such as those set out in the Millennium Development Goals. We draw data from a wide variety of sources including international organisations such as the World Health Organisation, the World Bank, the UN Environment Programme, and the UN Development Programme as well as leading universities and research centres. In every instance, we rely on the best available data in the world. Our effort remains hampered, however, by a lack of reliable metrics available on a comprehensive and methodologically consistent basis across the nations of the world. We are unable to track important categories such as chemical exposures, proper waste disposal, and protection of wetlands due to a lack of data collected across countries on a comparable basis. In other important areas of emphasis like water quality, we rely on data sets that are shockingly incomplete and poorly constructed. As a result, one of our core conclusions is that the world community needs to invest more in developing a solid data foundation for environmental decision making at every level from the community scale to the state, national, and global levels.
In developing the list of 25 pollution control and natural resource management metrics that comprise the Environmental Performance Index (EPI, we made a careful review of the scientific literature as well as a broad-based understanding of the challenges that face environmental policymakers. We developed a “model” based on six core categories of environmental activity with a set of six additional sub-categories on which we also report results. This framework was peer reviewed by leading environmental scientists.
With a set of issues to track defined by the theory and practice of environmental science, we then looked to see which of these areas of concern had data to allow us to track results. Where data was limited, we looked for “proxy” variables that provided some gauge of the issue in question. In each case, we look for “output” measures based on actual, on-the-ground environmental results, measured in terms of the distance from established policy targets, such as those set out in the Millennium Development Goals. We draw data from a wide variety of sources including international organisations such as the World Health Organisation, the World Bank, the UN Environment Programme, and the UN Development Programme as well as leading universities and research centres. In every instance, we rely on the best available data in the world. Our effort remains hampered, however, by a lack of reliable metrics available on a comprehensive and methodologically consistent basis across the nations of the world. We are unable to track important categories such as chemical exposures, proper waste disposal, and protection of wetlands due to a lack of data collected across countries on a comparable basis. In other important areas of emphasis like water quality, we rely on data sets that are shockingly incomplete and poorly constructed. As a result, one of our core conclusions is that the world community needs to invest more in developing a solid data foundation for environmental decision making at every level from the community scale to the state, national, and global levels.
Source : IIPM Editorial, 2012.
An Initiative of IIPM, Malay Chaudhuri
and Arindam Chaudhuri (Renowned Management Guru and Economist).
and Arindam Chaudhuri (Renowned Management Guru and Economist).
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