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Eco-efficiency in greenhouse emissions among manufacturing industries: A range adjusted measure

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  • Ramli, Noor Asiah
  • Munisamy, Susila

Abstract

Air pollution as a result of production processes has a great impact on the environment and contributes directly to global warming, which is linked to climate change. This paper evaluates the eco-efficiency of the manufacturing sector in Malaysia by taking into account both economic and ecological factors (i.e. air pollution). Manufacturing activities produce pollutants that can contribute to poor environmental performance and are regarded as undesirable outputs. Thus, it would be incomplete to measure the efficiency of manufacturing activities without considering the undesirable outputs. This study employs the Range Adjusted Measure (RAM) model which accounts for both desirable and undesirable outputs in the production process. The results show that the Malaysian manufacturing industry as a whole has an average unified eco-efficiency score of 94% (category 1) in 2010 which indicates scope for reduction of inputs and pollutants as much as 6%. The results also reveal that, on average, the eco-efficiency score of the free industrial or free trade zone states are higher than non-free industrial zone states. This may be due to two reasons, first, manufacturers in the free industrial zones are export orientated and learning effects are gained from export participation which help firms improve their efficiency over time. Second, the firms enjoy duty free imports of raw materials as well as are exempt from various taxes and duties that help reduce production costs. The empirical evidence in this study may provide some directions in formulating policies, laws, regulations and strategies pertaining to any environmental performance issue particularly concerning environmental damage caused by industrial pollutants so that the productivity growth is in balance with environmental performance.

Suggested Citation

  • Ramli, Noor Asiah & Munisamy, Susila, 2015. "Eco-efficiency in greenhouse emissions among manufacturing industries: A range adjusted measure," Economic Modelling, Elsevier, vol. 47(C), pages 219-227.
  • Handle: RePEc:eee:ecmode:v:47:y:2015:i:c:p:219-227
    DOI: 10.1016/j.econmod.2015.02.034
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    Cited by:

    1. Xu, Bin & Lin, Boqiang, 2016. "Reducing CO2 emissions in China's manufacturing industry: Evidence from nonparametric additive regression models," Energy, Elsevier, vol. 101(C), pages 161-173.
    2. Aznar-Márquez, J. & Ruiz-Tamarit, J.R., 2016. "Environmental pollution, sustained growth, and sufficient conditions for sustainable development," Economic Modelling, Elsevier, vol. 54(C), pages 439-449.
    3. repec:gam:jsusta:v:8:y:2016:i:2:p:148:d:63425 is not listed on IDEAS
    4. Emrouznejad, Ali & Yang, Guo-liang, 2016. "CO2 emissions reduction of Chinese light manufacturing industries: A novel RAM-based global Malmquist–Luenberger productivity index," Energy Policy, Elsevier, vol. 96(C), pages 397-410.
    5. William H. Alfonso Piña & Clara Inés Pardo Martínez, 2016. "Development and Urban Sustainability: An Analysis of Efficiency Using Data Envelopment Analysis," Sustainability, MDPI, Open Access Journal, vol. 8(2), pages 1-15, February.

    More about this item

    Keywords

    Range Adjusted Measure (RAM); Undesirable output; Eco-efficiency; Manufacturing; Export;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • 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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