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Total waste-load control and allocation based on input-output analysis for Shenzhen, south China.

J R Ni1, D S Zhong, Y F Huang

  • 1Center for Environmental Science, Peking University, Key Laboratory for Water and Sediment Sciences, Ministry of Education, Beijing 100871, China.

Journal of Environmental Management
|May 31, 2001
PubMed
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This study in Shenzhen reveals how economic growth impacts water pollution. Findings show that optimizing economic structure can significantly reduce pollution while maintaining planned economic growth rates.

Area of Science:

  • Environmental economics
  • Regional planning
  • Wastewater management

Background:

  • Rapid economic development in Shenzhen has led to significant water pollution.
  • Understanding the dynamic relationship between economic sectors, pollution, and waste allocation is crucial for sustainable development.

Purpose of the Study:

  • To analyze the dynamic relationships between economic development, water pollution, and waste-load allocation in Shenzhen.
  • To develop a model for predicting economic and pollution trends across different sectors and planning years.
  • To explore economic structural adjustments for mitigating environmental impact.

Main Methods:

  • Utilized a two-objective analysis model based on Shenzhen's input-output table.
  • Employed the improved Tchebycheff procedure to find optimal solutions.

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  • Incorporated local constraints and considered economic structural adjustments.

    • Main Results:

    • Shenzhen's economic structure is robust but allows for further adjustment.
    • A harmonized scheme was identified to maximize Gross Domestic Production (GDP) while minimizing Chemical Oxygen Demand (COD).
    • The proposed scheme suggests substantial reduction in polluting effluents without hindering planned economic growth.

    Conclusions:

    • Economic structural adjustments are feasible and beneficial for Shenzhen's environmental sustainability.
    • Balancing economic growth and pollution control is achievable through optimized planning.
    • The study provides a framework for sustainable urban development in rapidly growing regions.