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Patent analysis to identify shale gas development in China and the United States

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  • Lee, Woo Jin
  • Sohn, So Young

Abstract

Shale gas has become an increasingly important form of hydrocarbon energy, and related technologies reflect the geographical characteristics of the countries where the gas is extracted and stored. The United States (U.S.) produces most of the world’s shale gas, while China has the world’s largest shale gas reserves. In this research, we focused on identifying the trends in shale-gas related technologies registered to the United States Patent and Trademark Office (USPTO) and to the State Intellectual Property Office of the People’s Republic of China (SIPO) respectively. To cluster shale-gas related technologies, we text-mined the abstracts of patent specifications. It was found that in the U.S., the key advanced technologies were related to hydraulic fracturing, horizontal drilling, and slick water areas, whereas China had a focus on proppants. The results of our study are expected to assist energy experts in designing energy policies related to technology importation.

Suggested Citation

  • Lee, Woo Jin & Sohn, So Young, 2014. "Patent analysis to identify shale gas development in China and the United States," Energy Policy, Elsevier, vol. 74(C), pages 111-115.
    • Handle: RePEc:eee:enepol:v:74:y:2014:i:c:p:111-115
    DOI: 10.1016/j.enpol.2014.08.009
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    References listed on IDEAS

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    1. Wakamatsu, Hiroki & Aruga, Kentaka, 2013. "The impact of the shale gas revolution on the U.S. and Japanese natural gas markets," Energy Policy, Elsevier, vol. 62(C), pages 1002-1009.
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    2. Wei, Yi-Ming & Kang, Jia-Ning & Yu, Bi-Ying & Liao, Hua & Du, Yun-Fei, 2017. "A dynamic forward-citation full path model for technology monitoring: An empirical study from shale gas industry," Applied Energy, Elsevier, vol. 205(C), pages 769-780.
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    4. Taeyeoun Roh & Yujin Jeong & Hyejin Jang & Byungun Yoon, 2019. "Technology opportunity discovery by structuring user needs based on natural language processing and machine learning," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-27, October.
    5. Meier, Felix D. & Quaas, Martin F., 2021. "Booming gas – A theory of endogenous technological change in resource extraction," Journal of Environmental Economics and Management, Elsevier, vol. 107(C).
    6. Li, Ke & Lin, Boqiang, 2016. "Impact of energy technology patents in China: Evidence from a panel cointegration and error correction model," Energy Policy, Elsevier, vol. 89(C), pages 214-223.
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    9. Suh, Jung Woo & Sohn, So Young & Lee, Bo Kyeong, 2020. "Patent clustering and network analyses to explore nuclear waste management technologies," Energy Policy, Elsevier, vol. 146(C).
    10. Kim, Dong Ha & Lee, Bo Kyeong & Sohn, So Young, 2016. "Quantifying technology–industry spillover effects based on patent citation network analysis of unmanned aerial vehicle (UAV)," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 140-157.
    11. Li, Yanbin & Li, Yun & Wang, Bingqian & Chen, Zhuoer & Nie, Dan, 2016. "The status quo review and suggested policies for shale gas development in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 420-428.
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