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Examining environmental regulation efficiency of haze control and driving mechanism: evidence from China

机译:检查阴霾控制和驾驶机制的环境调节效率:来自中国的证据

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The problem of haze pollution in China is still serious, and it is an important issue how to measure and improve environmental regulation efficiency of haze control (EREHC) in China. To explore the spatial evolution characteristics and influencing factors of EREHC in each province in China, this paper builds an evaluation system for EREHC in China and calculates EREHC values in 30 provinces, autonomous regions, and municipalities in China from 2003 to 2015 through the super-efficiency slacks-based measure (SE-SBM) model. Moreover, the influencing factors and the driving mechanism of EREHC in China are examined by using the Theil index, Moran's I index, and the geographically and temporally weighted regression (GTWR) model. The results are as follows. (1) During the sample period, EREHC in each province in China is mostly favorable, and the average efficiency value is approximately 0.5. EREHC has been declining only in some regions in China. (2) EREHC in eastern China is the best, followed by western China, and EREHC in central China is the lowest. The inter-regional difference in EREHC has been declining over time. (3) EREHC is positively correlated with economic level, the industrial upgrading, and the opening to the outside world, but negatively correlated with energy mix and labor force quality. The positive and negative effects of the level of scientific and technological input are different among the three economic regions. The results indicate that EREHC in China is generally at low level, which presents the spatial difference characteristic of "High East and Low West." It will help improve regional EREHC to raise the level of regional economic development, deepen industrial upgrading, and open to the outside world.
机译:中国阴霾污染问题仍然是严重的,这是如何在中国衡量和提高中国阴霾控制(EREHC)的环境监管效率的重要问题。探讨中国各省中EREHC的空间演变特征和影响因素,本文为中国的EREHC进行了评估体系,从2003年到2015年通过超级计算了中国30年的30个省,自治区和市政当局的EREHC价值基于效率的Slacks的测量(SE-SBM)模型。此外,通过使用TheIL指数,莫兰的I指数和地理上和时间加权回归(GTWR)模型来检查中国EREHC的影响因素和erehc的驱动机制。结果如下。 (1)在样品期间,中国各省的Erehc大多是有利的,平均效率值约为0.5。 Erehc只在中国的一些地区下降。 (2)中国东部的Erehc是最好的,其次是中国西部,中国中部的Erehc是最低的。 EREHC的区域间差异随着时间的推移而下降。 (3)EREHC与经济水平,产业升级和外部世界的开放正相关,但与能源组合和劳动力质量负相关。科技投入水平的正面和负面影响在三个经济地区不同。结果表明,中国的EREHC一般都处于低水平,这提出了“高中和低西方”的空间差异特征。它将有助于改善区域EREHC,以提高区域经济发展水平,深化产业升级,向外界开放。

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