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The regional green growth and sustainable development of China in the presence of sustainable resources recovered from pollutions

机译:中国区域绿色增长和可持续发展在污染恢复的可持续资源存在下

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摘要

The rapid economic development of China has intensified the country's many problems. Among them, energy shortage and environmental pollution are two main problems, which highly affects the economic growth and sustainable development. To achieve more rapid green growth, the innovative technology by reusing the environmental wastes has been widely used since doing so not only decreases the environment pollution, but also further brings more natural resource. The present paper establishes a two-stage structure for evaluating the regional green growth and sustainable development in China by calculating the efficiency of "energy saving" and "pollution treatment" separately. Specifically, a set of models based on slack-based measure approach are constructed in which non-discretionary inputs can be calculated in both resource utilization stage and pollution treatment stage. Comparing with the traditional models, the new proposed models can measure the performance of resources saving and pollution treatment with considering the influence of non-discretionary inputs. An empirical application on Chinese 30 regions during 2011-2015 have been done to illustrate the use of our framework and the performance of regional green growth and sustainable development. Based on the efficiency results, we find that the efficiency scores of the provinces in central and northeast area are lower, which is mostly caused by their poor performance on "pollution treatment". Both the environmental efficiency scores and target values for performance improvement are obtained in this paper to enlighten the corresponding decision-makers.
机译:中国的快速经济发展加剧了该国的许多问题。其中,能源短缺和环境污染是两个主要问题,从而影响经济增长和可持续发展。为了实现更快速的绿色增长,通过重用环境废物的创新技术已被广泛使用,因为不仅减少了环境污染,而且还带来了更多的自然资源。本文通过计算单独的“节能”和“污染处理”效率来评估中国的区域绿色增长和可持续发展,建立了两级结构。具体地,构建了基于Slack的测量方法的一组模型,其中可以在资源利用阶段和污染治疗阶段计算非自由度输入。与传统模型相比,新的拟议模型可以衡量资源节约和污染治疗的性能,考虑非自由裁量投票的影响。已经进行了2011 - 2015年中国30个地区的实证申请,以说明我们的框架和区域绿色增长和可持续发展的表现。根据效率的结果,我们发现中部和东北地区省份的效率得分较低,这主要是由于其对“污染处理”的差的表现差。在本文中获得了对性能改进的环境效率评分和目标值,以启发相应的决策者。

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