A new look at measuring sustainability of industrial parks: a two-stage data envelopment analysis approach
An industrial park is a community of manufacturing and service businesses located together in a specific area. The sustainable industrial park is strategically significant for sustainable development of countries. In this paper, a gradual efficiency improvement data envelopment analysis (DEA) model...
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| Veröffentlicht in: | Clean technologies and environmental policy 2014-12, Vol.16 (8), p.1577-1596 |
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| creator | Khodakarami, Mohsen Shabani, Amir Farzipoor Saen, Reza |
| description | An industrial park is a community of manufacturing and service businesses located together in a specific area. The sustainable industrial park is strategically significant for sustainable development of countries. In this paper, a gradual efficiency improvement data envelopment analysis (DEA) model is proposed to (i) measure sustainability of industrial parks, (ii) classify follower and pioneer industrial parks regarding the environmental performance, and (iii) direct the followers toward pioneers to gradually (not at once) improve their performance and make feasible improvement plans. The proposed method identifies decision-making units (DMUs) on most productive scale size (MPSS) region, and then projects other DMUs onto this region. The proposed model is extended to evaluate performance of a two-stage network structures where outputs from the first stage become inputs to second stage in addition to inputs of first stage and outputs of second stage. The proposed approach is applied to measure the sustainability of 31 Iranian industrial parks. Despite traditional DEA methods, the results indicate that inputs (outputs) should not be necessarily decreased (increased) to project the industrial parks onto the MPSS region. |
| doi_str_mv | 10.1007/s10098-014-0733-8 |
| format | Article |
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The sustainable industrial park is strategically significant for sustainable development of countries. In this paper, a gradual efficiency improvement data envelopment analysis (DEA) model is proposed to (i) measure sustainability of industrial parks, (ii) classify follower and pioneer industrial parks regarding the environmental performance, and (iii) direct the followers toward pioneers to gradually (not at once) improve their performance and make feasible improvement plans. The proposed method identifies decision-making units (DMUs) on most productive scale size (MPSS) region, and then projects other DMUs onto this region. The proposed model is extended to evaluate performance of a two-stage network structures where outputs from the first stage become inputs to second stage in addition to inputs of first stage and outputs of second stage. The proposed approach is applied to measure the sustainability of 31 Iranian industrial parks. 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The sustainable industrial park is strategically significant for sustainable development of countries. In this paper, a gradual efficiency improvement data envelopment analysis (DEA) model is proposed to (i) measure sustainability of industrial parks, (ii) classify follower and pioneer industrial parks regarding the environmental performance, and (iii) direct the followers toward pioneers to gradually (not at once) improve their performance and make feasible improvement plans. The proposed method identifies decision-making units (DMUs) on most productive scale size (MPSS) region, and then projects other DMUs onto this region. The proposed model is extended to evaluate performance of a two-stage network structures where outputs from the first stage become inputs to second stage in addition to inputs of first stage and outputs of second stage. The proposed approach is applied to measure the sustainability of 31 Iranian industrial parks. Despite traditional DEA methods, the results indicate that inputs (outputs) should not be necessarily decreased (increased) to project the industrial parks onto the MPSS region.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s10098-014-0733-8</doi><tpages>20</tpages></addata></record> |
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| ispartof | Clean technologies and environmental policy, 2014-12, Vol.16 (8), p.1577-1596 |
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| subjects | Classification Cleaning Communities Data envelopment analysis Decision making Earth and Environmental Science Economies of scale Environment Environment management Environmental Economics Environmental Engineering/Biotechnology Environmental performance Environmental policy Followers Industrial and Production Engineering Industrial areas Industrial Chemistry/Chemical Engineering Industrial development Industrial parks Industrial plants Literature reviews Mathematical models Operations research Original Paper Parks & recreation areas Sustainability Sustainable Development |
| title | A new look at measuring sustainability of industrial parks: a two-stage data envelopment analysis approach |
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