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环境规制与绿色经济效率的关系:基于中国省份的研究。

The Relationship between Environmental Regulations and Green Economic Efficiency: A Study Based on the Provinces in China.

机构信息

College of Economics and Management, Shandong University of Science and Technology, Qingdao 266590, China.

出版信息

Int J Environ Res Public Health. 2021 Jan 20;18(3):889. doi: 10.3390/ijerph18030889.

Abstract

This study examined the relationship between environmental regulations (ER) and green economic efficiency (GEE) based on the panel data of 30 provinces in China from 2008 to 2017. Firstly, GEE was calculated and evaluated using the super-efficiency SBM model with undesirable outputs. Secondly, the impact of ER on GEE was studied with the Tobit model. Finally, this article draws conclusions based on the above analysis and offers some suggestions for government and enterprise. The results show that the GEE of China is generally low. The GEE of the eastern region is much higher than that of the middle and western regions, with the western region performing slightly better than the middle. From west to east, there is a V shape, with high efficiency in the west and east and low efficiency in the middle. The impact of ER on GEE has the characteristics of nonlinearity and spatial heterogeneity. At the national level, as well as in the middle and western regions, the impact of ER on GEE shows an inverted U shape that first rises and then falls. ER are currently within the range conducive to the development of GEE. If the intensity of ER exceeds the critical value, they will have a negative impact on GEE. In the eastern region, the impact of ER on GEE is shown as a U shape that first falls and then rises. At present, the ER are not of sufficient intensity to contribute to the improvement of GEE. Only when the intensity of the ER exceeds the critical value will they have a positive influence on the GEE.

摘要

本研究基于 2008-2017 年中国 30 个省份的面板数据,考察了环境规制(ER)与绿色经济效率(GEE)之间的关系。首先,利用具有非期望产出的超效率 SBM 模型计算和评价了 GEE。其次,利用 Tobit 模型研究了 ER 对 GEE 的影响。最后,本文根据上述分析得出结论,并为政府和企业提供了一些建议。结果表明,中国的 GEE 普遍较低。东部地区的 GEE 远高于中部和西部地区,而西部地区的表现略好于中部地区。从西到东,存在一个 V 形,西部和东部效率高,中部效率低。ER 对 GEE 的影响具有非线性和空间异质性的特点。在全国范围内以及在中部和西部地区,ER 对 GEE 的影响呈倒 U 形,先上升后下降。ER 目前处于有利于 GEE 发展的范围内。如果 ER 的强度超过临界值,它们将对 GEE 产生负面影响。在东部地区,ER 对 GEE 的影响呈先下降后上升的 U 形。目前,ER 的强度不足以促进 GEE 的提高。只有当 ER 的强度超过临界值时,它们才会对 GEE 产生积极影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6133/7908527/c9d063c907b7/ijerph-18-00889-g001.jpg

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