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The spatial and temporal evolution of provincial eco-efficiency in China based on SBM modified three-stage data envelopment analysis

机译:基于SBM修改的三阶段数据包络分析,中国省生态效率的空间和时间演变

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摘要

Eco-efficiency plays a significant role in expressing how efficient the economic activity consumes nature's goods and services. To accurately measure eco-efficiency, the method slack-based measure modified three-stage data envelopment analysis (DEA) is adopted to evaluate environmental conditions in China's 30 provinces from year 2004 to 2016. This study treats carbon emissions and three industrials wastes as undesirable outputs and excludes the influences from external environment and random errors when make adjustments. Based on the results, this study makes the following conclusions: Firstly, industrial structure, trade openness, and population have negative effects on eco-efficiency while technology investment, urbanization process, foreign direct investment, and fiscal decentralization have positive effects on eco-efficiency. Secondly, the eco-efficiency for most provinces after adjusted is lower than the pre-adjusted, which indicates the overestimation in eco-efficiency when using traditional approaches. Thirdly, the eco-efficiency in China showed a clear geographical step distribution, with the highest eco-efficiency in the east area, followed by the central, northwest, and southwest regions.
机译:生态效率在表达经济活动的效率如何消耗自然的商品和服务方面发挥着重要作用。为了准确测量生态效率,采用了基于生态效率的方法,通过2004年至2016年从2004年至2016年度评估了中国30个省份的环境条件。本研究对待碳排放和三个工业废弃物作为不良的碳排放输出并排除在进行调整时从外部环境和随机误差的影响。基于结果,本研究提出了以下结论:首先,产业结构,贸易开放和人口对生态效率产生负面影响,而技术投资,城市化进程,外国直接投资和财政分权对生态效率产生积极影响。其次,调整后大多数省份的生态效率低于预先调整的,这表明使用传统方法时的生态效率高估。第三,中国的生态效率表现出明显的地理阶段分布,东部地区的生态效率最高,其次是中央,西北和西南地区。

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