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Testing the Dynamic Nature of Porter Hypothesis: Evidence from the Chinese Industrial Sectors

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Proceedings of the Twelfth International Conference on Management Science and Engineering Management (ICMSEM 2018)

Part of the book series: Lecture Notes on Multidisciplinary Industrial Engineering ((LNMUINEN))

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Abstract

According to the Porter Hypothesis (PH), environmental regulation dynamically works on technical innovation for a long term. This paper takes the panel data from Chinese industry during 2001–2010 using two different innovation outputs: patents and new product value and respectively explores the dynamic effect of environmental regulation in different periods from one to six years. The results show that environmental regulation promotes two types of innovation outputs, while it takes more time from regulation implementation to realizing new product value. The influence intensity of environmental regulation and patent appears an “M” type relationship, while the influence intensity of environmental regulation and new product value shows a “W” type.

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Authors and Affiliations

  1. Sichuan University, Chengdu, 610064, People’s Republic of China

    Xiang Wang, Yanjia Li & Yuandi Wang

Authors
  1. Xiang Wang
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  2. Yanjia Li
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  3. Yuandi Wang
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Corresponding author

Correspondence to Yanjia Li .

Editor information

Editors and Affiliations

  1. Sichuan University, Chengdu, China

    Jiuping Xu

  2. Monash University, Department of Management, Melbourne, VIC, Australia

    Fang Lee Cooke

  3. Fuzzy Logic Systems Institute, Tokyo University of Science, Tokyo, Japan

    Mitsuo Gen

  4. Department of Mathematics and Statistics, McMaster University, Hamilton, ON, Canada

    Syed Ejaz Ahmed

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Wang, X., Li, Y., Wang, Y. (2019). Testing the Dynamic Nature of Porter Hypothesis: Evidence from the Chinese Industrial Sectors. In: Xu, J., Cooke, F., Gen, M., Ahmed, S. (eds) Proceedings of the Twelfth International Conference on Management Science and Engineering Management. ICMSEM 2018. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-93351-1_52

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