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Excessive consumption in wealthier countries is directly responsible for environmental degradation and health problems in other parts of the world, according to Dr. Klaus Hubacek. Hubacek uses big data and GPS technology to map socioeconomic data, toxic pollution and health outcomes to show how consumption patterns in one part of the world impact environmental conditions in another.
Dr. Hubacek recently completed a project that shows the connections between a country's level of development and its emissions, respiratory diseases and mortality rates. Wealthier countries often manage to keep pollution levels low by “outsourcing” their dirtiest manufacturing practices to locations with cheaper labor and more flexible environmental regulations. Many of the goods produced in developing countries are consumed elsewhere, leaving the local population suffering the environmental and health effects of dirty manufacturing, while the goods they produce are enjoyed by someone else.
Pollution outsourcing also occurs within countries, as companies in wealthier regions move their manufactures to poorer areas. In China, for example, manufacturing is shifting from the richest coastal provinces to the poorest inland regions, in order to reduce costs and take advantage of weaker environmental regulations. In the United States, there are significant regional differences in manufacturing, pollution and consumption.
Dr. Hubacek is currently working on a project to build a global map of cities and their development characteristics. As statistics on urban development are not available for some parts of the world, nightly data will serve as a substitute for development. The map will show CO 2 levels and other toxic emissions from cities.
Research that explores the complex links between consumption patterns, global supply chain networks and environmental and health outcomes is an important step towards understanding how local lifestyles and consumption activities are shaped by local factors and how these translate into impacts
Explicação:
tem um pouco mais,mas se quiser saber a tradução copia do brainly e traduz no Google