China’s economic boom has brought about environmental dark sides, i.e., serious air, water, and solid waste pollutions. As the largest developing countries in the world, China’s road toward economic-environmental balance is even complicated since there are various regions of diversified geographical and economic conditions. Using context-dependent-DEA (data envelopment analysis) as performance evaluating technique, this study constructs the regions’ benchmark-learning ladders for those inefficient regions to improve progressively; and to identify real benchmark for those efficient regions to rank ascendant by incorporating the stratification DEA method, attractiveness measure, and progress measure. Decision matrix covering attractiveness and progress scores is made to help the regions position themselves. Furthermore, we find that capital/employee ratio plays important role on forming levels of regions, which can be interpreted that advanced technology is one of key factors toward regional sustainable development.
Quality & Quantity – Springer Journals
Published: Aug 3, 2011
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