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Eco-efficiency assessment of industrial parks in Central China: a slack-based data envelopment analysis
Gengyu Gao1, Shanshan Wang2, Ruoyu Xue1
1College of Chemistry, Zhengzhou University, Zhengzhou, 450001, Henan, China.
Abstract:
Industrial parks have made important contributions to China's economic development, but they have caused serious pollution to the environment. With the promotion of China's sustainable development, improving the eco-efficiency of industrial parks has gradually become the focus of attention. In this study, a slack-based data envelopment analysis (SBM-DEA) model, which included three input indicators and six output indicators, was applied to assess the eco-efficiencies of 18 industrial parks in Central China. The ecological development level of different industrial parks in Central China was uneven, and their efficiency scores ranged from 0.06 to 1. Next, the most sensitive input and output variables are identified by sensitivity analysis, and it is concluded that land and water consumption will have a significant impact on the evaluation results of the model. Then, the influencing factors of eco-efficiency are discussed, and it was found that a reasonable energy structure and industrial structure, as well as high industrial added value, would increase the eco-efficiency of industrial parks. Finally, based on the findings, policy recommendations for improving the eco-efficiency of industrial parks are put forward, including fulfilling government responsibilities, adjusting energy and industrial structures, and improving the high-quality development of the parks.
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