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Does the environmental inequality matter? A literature review
Shuai Shao1,2, Liwen Liu2, Zhihua Tian3
1School of Business, East China University of Science and Technology, Shanghai, 200237, China.
Environmental inequality shows that certain groups disproportionately face pollution risks, influenced by factors like race and economic status. This review synthesizes global research on its causes and impacts.
Area of Science:
- Environmental Science
- Sociology
- Public Health
Background:
- Environmental inequality theory posits that pollution exposure risks are unevenly distributed across regions and populations.
- Research on environmental inequality is increasing in developed nations but remains scarce in developing countries.
- Factors such as race and socioeconomic status are linked to differential exposure to environmental pollution.
Purpose of the Study:
- To provide a comprehensive review of theoretical and empirical studies on environmental inequality.
- To detail the evolution, definition, and measurement of environmental inequality.
- To systematically examine the manifestations and causes of environmental inequality.
Main Methods:
- Extensive literature review of theoretical and empirical studies on environmental inequality.
- Analysis of the evolution of environmental inequality theory.
- Synthesis of research on the performance and causes of environmental inequality.
Main Results:
- Environmental inequality manifests in disparities in health, education, labor productivity, and real estate values.
- Key drivers of environmental inequality include ethnic disparities, economic status, human capital, and household registration systems.
- The review highlights a significant research gap concerning environmental inequality in developing countries.
Conclusions:
- Environmental inequality is a critical issue with far-reaching consequences across multiple societal domains.
- Understanding the causes and manifestations is crucial for developing targeted interventions.
- Future research should prioritize addressing the scarcity of data and analysis in developing nations.
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