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Green technology innovation and energy intensity in China

Author

Listed:
  • Yanchun Chen

    (Shijiazhuang Tiedao University
    Beijing Jiaotong University)

  • Botang Han

    (Beijing Institute of Technology)

  • Wenmei Liu

    (Shijiazhuang Tiedao University)

Abstract

This paper investigates the relationship between green technology innovation and energy intensity for 29 provinces in Mainland China from 1999 to 2010. Based on changes in energy intensity in the data, the provinces are divided into four groups: the conventional group, the gradational group, the contemporary group, and the low-carbon group. Industrial structure is included in the study because of its impact on energy intensity, thus avoiding the problem of omitted variable bias. The empirical results indicate that there is a negative, long-run, cointegrated relationship between energy intensity and green technology innovation. We also discover unidirectional causality from green technology innovation to energy intensity in the conventional and low-carbon groups, whereas green technology innovation directly affects energy intensity through a feedback system for the gradational and contemporary groups. To achieve the goal of energy intensity, policymakers should encourage green technology diffusion from the low-carbon group to the conventional group and improve the share of green technology innovation in the gradational and contemporary groups.

Suggested Citation

  • Yanchun Chen & Botang Han & Wenmei Liu, 2016. "Green technology innovation and energy intensity in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 317-332, November.
    • Handle: RePEc:spr:nathaz:v:84:y:2016:i:1:d:10.1007_s11069-016-2158-7
    DOI: 10.1007/s11069-016-2158-7
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    Cited by:

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    2. Pan, Xiuzhen & Wei, Zixiang & Han, Botang & Shahbaz, Muhammad, 2021. "The heterogeneous impacts of interregional green technology spillover on energy intensity in China," Energy Economics, Elsevier, vol. 96(C).
    3. Yongfang Peng & Yingying Fan & Yi Liang, 2021. "A Green Technological Innovation Efficiency Evaluation of Technology-Based SMEs Based on the Undesirable SBM and the Malmquist Index: A Case of Hebei Province in China," Sustainability, MDPI, vol. 13(19), pages 1-19, October.
    4. Chakraborty, Saptorshee Kanto & Mazzanti, Massimiliano, 2020. "Energy intensity and green energy innovation: Checking heterogeneous country effects in the OECD," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 328-343.
    5. Dayuan Li & Fei Tang & Lu Zhang, 2020. "Differential effects of voluntary environmental programs and mandatory regulations on corporate green innovation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(3), pages 3437-3456, September.
    6. Xiang Ruan & Rong Sheng & Tuo Lin, 2020. "Environmental Policy Integration in the Energy Sector of China: The Roles of the Institutional Context," IJERPH, MDPI, vol. 17(24), pages 1-14, December.
    7. Hu, Jinyan & Wang, Kai-Hua & Su, Chi Wei & Umar, Muhammad, 2022. "Oil price, green innovation and institutional pressure: A China's perspective," Resources Policy, Elsevier, vol. 78(C).
    8. Yi Wang & Junke Feng & Nosheena Yasir & Yu Bai, 2022. "The Impact of Political Incentives Received by Key Local Officials on Enterprises’ Green Innovations for the Development and Construction of Ecological Civilization in China," Sustainability, MDPI, vol. 14(18), pages 1-24, September.
    9. Li, Yaya & Cobbinah, Joana & Abban, Olivier Joseph & Veglianti, Eleonora, 2023. "Does green manufacturing technology innovation decrease energy intensity for sustainable development?," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1010-1025.

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