Place-specific product relatedness and the environmental performance of non-polluting exports in China
Place-specific product relatedness and the environmental performance of non-polluting exports in China
复制标题
中国特定产品相关性和无污染出口的环境绩效
DOI：
10.1007/s11356-021-17656-3
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发表时间：
2021-11
影响因子：
5.8
通讯作者：
Xiyan Mao
中科院分区：
文献类型：
--
作者：
Xiyan Mao
无污染出口的增长是否会带来更好的环境表现？答案取决于这些出口如何依赖当地的比较优势。出口越是依赖污染投入品，它们的环境表现就越糟糕。在实践中，很难在地方一级直接衡量出口产品的污染投入。本研究基于产品关联度理论和企业的资源观，提出了一种衡量出口对当地污染投入依赖程度的方法。这种方法应用区位商来表示当地的资源优势。然后，利用共生概率来衡量某一出口产品与当地资源优势的关联度。最后，对污染资源优势与非污染资源优势的产品关联度进行了区分。较高的污染产品关联度预计将抑制出口的环境表现。本文以中国281个城市的30个行业为例，运用固定效应模型和门限回归模型检验了产品关联度对环境绩效的影响。实证结果支持了利用产品关联度预测出口环境绩效的有效性。污染产品关联度越高，环境绩效越差，出口增长对环境的不利影响也越大。
Does the growth of non-polluting exports lead to better environmental performance? The answer depends on how these exports rest on local comparative advantages. The more exports rely on polluting inputs, the worse their environmental performance would be. In practice, it is difficult to directly measure the polluting inputs for exporting products at the local level. This study proposes an approach to measure the reliance of exports on local polluting inputs, based on the product relatedness theories and the resource-based view of firms. This approach applies the locational quotient to indicate local resource advantages. Then, it uses the co-occurrence probability to measure the product relatedness of one export to local resource advantages. Finally, it distinguishes the product relatedness to polluting resource advantages from non-polluting ones. A higher level of polluting product relatedness is expected to depress the environmental performance of exports. Using 30 sectors in 281 Chinese cities as a case, this study applies the fixed effect model and the threshold regression model to examine the effects of product relatedness on environmental performance. Empirical results support the efficiency of using product relatedness to predict the environmental performance of exports. A higher level of polluting product relatedness leads to poorer environmental performance and more adverse effects of export growth on the environment.
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影响因子：
4.6
作者：
Essletzbichler, Juergen
通讯作者：
Essletzbichler, Juergen
影响因子：
1.1
作者：
A. K. Azhar;Robert J. R. Elliott
通讯作者：
A. K. Azhar;Robert J. R. Elliott
DOI：
10.1016/j.resenv.2020.100002
发表时间：
2020-09
期刊：
Resources, Environment and Sustainability
影响因子：
--
作者：
Xiyan Mao;Xinchen Luan;Xianjin Huang
通讯作者：
Xiyan Mao;Xinchen Luan;Xianjin Huang
DOI：
10.1016/j.ibusrev.2017.07.003
发表时间：
2017-01
期刊：
International Trade eJournal
影响因子：
--
作者：
Sorin M. S. Krammer;Roger Strange;Addisu A. Lashitew
通讯作者：
Sorin M. S. Krammer;Roger Strange;Addisu A. Lashitew
影响因子：
7
作者：
Frank M. H. Neffke;M. Hartog;Ron Boschma;Martin Henning
通讯作者：
Frank M. H. Neffke;M. Hartog;Ron Boschma;Martin Henning