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Relative Efficiency of Decision Making Units Producing Both Desirable and Undesirable Outputs: A Case of Textile Processing Units in Pakistan

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  • Samina Khalil

    (Applied Economics Research Centre, University of Karachi, Karachi)

Abstract

This paper aims at measuring the relative efficiency of the most polluting industry in terms of water pollution in Pakistan. The textile processing is country‘s leading sub sector in textile manufacturing with regard to value added production, export, employment, and foreign exchange earnings. The data envelopment analysis technique is employed to estimate the relative efficiency of decision making units that uses several inputs to produce desirable and undesirable outputs. The efficiency scores of all manufacturing units exhibit the environmental consciousness of few producers is which may be due to state regulations to control pollution but overall the situation is far from satisfactory. Effective measures and instruments are still needed to check the rising pollution levels in water resources discharged by textile processing industry of the country.

Suggested Citation

  • Samina Khalil, 2011. "Relative Efficiency of Decision Making Units Producing Both Desirable and Undesirable Outputs: A Case of Textile Processing Units in Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 50(4), pages 685-698.
  • Handle: RePEc:pid:journl:v:50:y:2011:i:4:p:685-698
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    More about this item

    Keywords

    Data Envelopment Analysis (DEA); Decision Making Unit (DMU); Relative Efficiency; Undesirable Output;
    All these keywords.

    JEL classification:

    • L67 - Industrial Organization - - Industry Studies: Manufacturing - - - Other Consumer Nondurables: Clothing, Textiles, Shoes, and Leather Goods; Household Goods; Sports Equipment
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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