IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i4p1564-d1057752.html
   My bibliography  Save this article

Impact of Digital Industrialization on the Energy Industry Supply Chain: Evidence from the Natural Gas Industry in China

Author

Listed:
  • Jiachao Peng

    (School of Law & Business, Wuhan Institute of Technology, Wuhan 430205, China
    Center for High Quality Collaborative Development of Resources, Environment and Economy, Wuhan Institute of Technology, Wuhan 430205, China)

  • Hanfei Chen

    (School of Law & Business, Wuhan Institute of Technology, Wuhan 430205, China)

  • Lei Jia

    (Institute of Agricultural Science and Technology Information, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China)

  • Shuke Fu

    (School of Law & Business, Wuhan Institute of Technology, Wuhan 430205, China
    Center for High Quality Collaborative Development of Resources, Environment and Economy, Wuhan Institute of Technology, Wuhan 430205, China)

  • Jiali Tian

    (School of Law & Business, Wuhan Institute of Technology, Wuhan 430205, China
    Center for High Quality Collaborative Development of Resources, Environment and Economy, Wuhan Institute of Technology, Wuhan 430205, China)

Abstract

The global economy is moving into a new era characterized by digital and green development. To examine the impact of digital industrialization development on the energy supply chain, in relation to the sustainable development of China’s energy security, we discuss the nonlinear impact and transmission mechanism of digital industrialization on the supply chain of the energy industry using a panel threshold regression model based on sample data on the development of the provincial natural gas industry in China from 2006 to 2020. We found that there are multiple threshold effects of digital industrialization level development on energy supply chain length, and the results are statistically significant, i.e., digital industrialization development positively contributes to natural gas supply chain length after digital industrialization is raised to or crosses the critical threshold. Meanwhile, the heterogeneity analysis results show that there are differences in the impact of digital industrialization on the energy supply chain from sub-sectors, regional development differences, and different development periods. Therefore, we provide some factual support and experience for achieving the construction goal of “Digital China” and accelerating the digital reform of the energy supply chain as well as transforming and upgrading the economic structure.

Suggested Citation

  • Jiachao Peng & Hanfei Chen & Lei Jia & Shuke Fu & Jiali Tian, 2023. "Impact of Digital Industrialization on the Energy Industry Supply Chain: Evidence from the Natural Gas Industry in China," Energies, MDPI, vol. 16(4), pages 1-32, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1564-:d:1057752
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/4/1564/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/4/1564/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shuming Ren & Lianqing Li & Yueqi Han & Yu Hao & Haitao Wu, 2022. "The emerging driving force of inclusive green growth: Does digital economy agglomeration work?," Business Strategy and the Environment, Wiley Blackwell, vol. 31(4), pages 1656-1678, May.
    2. Lijing Zhang & Shuke Fu & Jiali Tian & Jiachao Peng, 2022. "A Review of Energy Industry Chain and Energy Supply Chain," Energies, MDPI, vol. 15(23), pages 1-21, December.
    3. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    4. Luo, Kang & Liu, Yaobin & Chen, Pei-Fen & Zeng, Mingli, 2022. "Assessing the impact of digital economy on green development efficiency in the Yangtze River Economic Belt," Energy Economics, Elsevier, vol. 112(C).
    5. Robert Hoffmann & Chew-Ging Lee & Bala Ramasamy & Matthew Yeung, 2005. "FDI and pollution: a granger causality test using panel data," Journal of International Development, John Wiley & Sons, Ltd., vol. 17(3), pages 311-317.
    6. Piotr F. Borowski, 2021. "Digitization, Digital Twins, Blockchain, and Industry 4.0 as Elements of Management Process in Enterprises in the Energy Sector," Energies, MDPI, vol. 14(7), pages 1-20, March.
    7. Haefner, Naomi & Wincent, Joakim & Parida, Vinit & Gassmann, Oliver, 2021. "Artificial intelligence and innovation management: A review, framework, and research agenda✰," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    8. Wang, Jiangquan & Ma, Xiaowei & Zhang, Jun & Zhao, Xin, 2022. "Impacts of digital technology on energy sustainability: China case study," Applied Energy, Elsevier, vol. 323(C).
    9. Ute Paukstadt & Jörg Becker, 2021. "Uncovering the business value of the internet of things in the energy domain – a review of smart energy business models," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(1), pages 51-66, March.
    10. Sharma, Amalesh & Adhikary, Anirban & Borah, Sourav Bikash, 2020. "Covid-19′s impact on supply chain decisions: Strategic insights from NASDAQ 100 firms using Twitter data," Journal of Business Research, Elsevier, vol. 117(C), pages 443-449.
    11. Min, Qingfei & Lu, Yangguang & Liu, Zhiyong & Su, Chao & Wang, Bo, 2019. "Machine Learning based Digital Twin Framework for Production Optimization in Petrochemical Industry," International Journal of Information Management, Elsevier, vol. 49(C), pages 502-519.
    12. Fukuda, Kayano, 2020. "Science, technology and innovation ecosystem transformation toward society 5.0," International Journal of Production Economics, Elsevier, vol. 220(C).
    13. Bruce E. Hansen, 2000. "Sample Splitting and Threshold Estimation," Econometrica, Econometric Society, vol. 68(3), pages 575-604, May.
    14. Ren, Siyu & Hao, Yu & Xu, Lu & Wu, Haitao & Ba, Ning, 2021. "Digitalization and energy: How does internet development affect China's energy consumption?," Energy Economics, Elsevier, vol. 98(C).
    15. Chad Moutray, 2020. "In recovery mode: manufacturers try to bounce back after COVID-19 disruptions," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 55(4), pages 240-252, October.
    16. Yang Liu & Yanlin Yang & Huihui Li & Kaiyang Zhong, 2022. "Digital Economy Development, Industrial Structure Upgrading and Green Total Factor Productivity: Empirical Evidence from China’s Cities," IJERPH, MDPI, vol. 19(4), pages 1-23, February.
    17. JL Harris & P Sunley & E Evenhuis & R Martin & A Pike & R Harris, 2020. "The Covid-19 crisis and manufacturing: How should national and local industrial strategies respond?," Local Economy, London South Bank University, vol. 35(4), pages 403-415, June.
    18. Wei Zhang & Hao Zhou & Jie Chen & Zifu Fan, 2022. "An Empirical Analysis of the Impact of Digital Economy on Manufacturing Green and Low-Carbon Transformation under the Dual-Carbon Background in China," IJERPH, MDPI, vol. 19(20), pages 1-22, October.
    19. Hee Kyung Kim & Chang Won Lee, 2021. "Relationships among Healthcare Digitalization, Social Capital, and Supply Chain Performance in the Healthcare Manufacturing Industry," IJERPH, MDPI, vol. 18(4), pages 1-13, February.
    20. Maciel M. Queiroz & Dmitry Ivanov & Alexandre Dolgui & Samuel Fosso Wamba, 2022. "Impacts of epidemic outbreaks on supply chains: mapping a research agenda amid the COVID-19 pandemic through a structured literature review," Annals of Operations Research, Springer, vol. 319(1), pages 1159-1196, December.
    21. Shuai Shao & Zhigao Hu & Jianhua Cao & Lili Yang & Dabo Guan, 2020. "Environmental Regulation and Enterprise Innovation: A Review," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 1465-1478, March.
    22. Hengfan Lu & Jiachao Peng & Xiangyi Lu, 2022. "Do Factor Market Distortions and Carbon Dioxide Emissions Distort Energy Industry Chain Technical Efficiency? A Heterogeneous Stochastic Frontier Analysis," Energies, MDPI, vol. 15(17), pages 1-22, August.
    23. Belhadi, Amine & Kamble, Sachin & Jabbour, Charbel Jose Chiappetta & Gunasekaran, Angappa & Ndubisi, Nelson Oly & Venkatesh, Mani, 2021. "Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    24. Maroufkhani, Parisa & Desouza, Kevin C. & Perrons, Robert K. & Iranmanesh, Mohammad, 2022. "Digital transformation in the resource and energy sectors: A systematic review," Resources Policy, Elsevier, vol. 76(C).
    25. Shusong Ba & Haifeng Bai, 2020. "Covid-19 pandemic as an accelerator of economic transition and financial innovation in China," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 18(4), pages 341-348, October.
    26. Gao, Da & Li, Ge & Yu, Jiyu, 2022. "Does digitization improve green total factor energy efficiency? Evidence from Chinese 213 cities," Energy, Elsevier, vol. 247(C).
    27. Johannes Giehl & Hayri Göcke & Benjamin Grosse & Johannes Kochems & Joachim Müller-Kirchenbauer, 2020. "Survey and Classification of Business Models for the Energy Transformation," Energies, MDPI, vol. 13(11), pages 1-17, June.
    28. Haoyun Meng & Peidong Deng & Jinbo Zhang, 2022. "Nonlinear Impact of Circulation-Industry Intelligentization on the Urban–Rural Income Gap: Evidence from China," Sustainability, MDPI, vol. 14(15), pages 1-26, August.
    29. Yang Liu & Ruochan Xiong & Shigong Lv & Da Gao, 2022. "The Impact of Digital Finance on Green Total Factor Energy Efficiency: Evidence at China’s City Level," Energies, MDPI, vol. 15(15), pages 1-17, July.
    30. Jinqi Su & Ke Su & Shubin Wang, 2021. "Does the Digital Economy Promote Industrial Structural Upgrading?—A Test of Mediating Effects Based on Heterogeneous Technological Innovation," Sustainability, MDPI, vol. 13(18), pages 1-24, September.
    31. Zhichuan Zhu & Bo Liu & Zhuoxi Yu & Jianhong Cao, 2022. "Effects of the Digital Economy on Carbon Emissions: Evidence from China," IJERPH, MDPI, vol. 19(15), pages 1-21, August.
    32. Adeniyi, Oluwatosin & Oyinlola, Abimbola & Omisakin, Olusegun & Egwaikhide, Festus O., 2015. "Financial development and economic growth in Nigeria: Evidence from threshold modelling," Economic Analysis and Policy, Elsevier, vol. 47(C), pages 11-21.
    33. Kuznets, Simon, 1973. "Modern Economic Growth: Findings and Reflections," American Economic Review, American Economic Association, vol. 63(3), pages 247-258, June.
    34. Oriol Iglesias & Stefan Markovic & Mehdi Bagherzadeh & Jatinder Jit Singh, 2020. "Co-creation: A Key Link Between Corporate Social Responsibility, Customer Trust, and Customer Loyalty," Journal of Business Ethics, Springer, vol. 163(1), pages 151-166, April.
    35. Hedan Ma & Xinliang Jia & Xin Wang, 2022. "Digital Transformation, Ambidextrous Innovation and Enterprise Value: Empirical Analysis Based on Listed Chinese Manufacturing Companies," Sustainability, MDPI, vol. 14(15), pages 1-20, August.
    36. Wu, Haitao & Xue, Yan & Hao, Yu & Ren, Siyu, 2021. "How does internet development affect energy-saving and emission reduction? Evidence from China," Energy Economics, Elsevier, vol. 103(C).
    37. Kolloch, Michael & Dellermann, Dominik, 2018. "Digital innovation in the energy industry: The impact of controversies on the evolution of innovation ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 254-264.
    38. Haibo Hu & Tao Huang & Yang Cheng & Haitao Lu, 2019. "The Evolution of Sustainable Business Model Innovation: Evidence from a Sharing Economy Platform in China," Sustainability, MDPI, vol. 11(15), pages 1-16, August.
    39. Li, Jiaxin & Peng, Jiachao & Shuai, Chuanmin & Wang, Zihan & Huang, Fubin & Khayyam, Muhammad, 2022. "Does the solar PV program enhance the social empowerment of China's rural poor?," Energy, Elsevier, vol. 253(C).
    40. Yi, Ming & Liu, Yafen & Sheng, Mingyue Selena & Wen, Le, 2022. "Effects of digital economy on carbon emission reduction: New evidence from China," Energy Policy, Elsevier, vol. 171(C).
    41. Tian, Jiamian & Coreynen, Wim & Matthyssens, Paul & Shen, Lei, 2022. "Platform-based servitization and business model adaptation by established manufacturers," Technovation, Elsevier, vol. 118(C).
    42. Jill Juergensen & José Guimón & Rajneesh Narula, 2020. "European SMEs amidst the COVID-19 crisis: assessing impact and policy responses," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(3), pages 499-510, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Weiming Zhang & Jiachao Peng & Lian Zhang, 2023. "Disruptive Displacement: The Impacts of Industrial Robots on the Energy Industry’s International Division of Labor from a Technological Complexity View," Energies, MDPI, vol. 16(8), pages 1-19, April.
    2. Congqi Wang & Rui Zhang & Haslindar Ibrahim & Pengzhen Liu, 2023. "Can the Digital Economy Enable Carbon Emission Reduction: Analysis of Mechanisms and China’s Experience," Sustainability, MDPI, vol. 15(13), pages 1-20, June.
    3. Chen, Yu & Wang, Weizhong & Qiao, Yin & Zheng, Qiaohong & Deveci, Muhammet & Varouchakis, Emmanouil A. & Al-Hinai, Amer, 2024. "Assessing adoption barriers to digital technology in the natural gas supply chain using an spherical fuzzy RAFSI model," Resources Policy, Elsevier, vol. 94(C).
    4. Jiachao Peng & Shuke Fu & Da Gao & Jiali Tian, 2023. "Greening China’s Growth: Assessing the Synergistic Impact of Financial Development and Technological Innovation on Environmental Pollution Reduction—A Spatial STIRPAT Analysis," IJERPH, MDPI, vol. 20(6), pages 1-19, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Senmiao & Wang, Jianda & Dong, Kangyin & Jiang, Qingzhe, 2023. "A path towards China's energy justice: How does digital technology innovation bring about a just revolution?," Energy Economics, Elsevier, vol. 127(PA).
    2. Wang, Lianghu & Shao, Jun, 2023. "Digital economy, entrepreneurship and energy efficiency," Energy, Elsevier, vol. 269(C).
    3. Marco Ardolino & Andrea Bacchetti & Dmitry Ivanov, 2022. "Analysis of the COVID-19 pandemic’s impacts on manufacturing: a systematic literature review and future research agenda," Operations Management Research, Springer, vol. 15(1), pages 551-566, June.
    4. Senhua Huang & Lingming Chen, 2023. "The Impact of the Digital Economy on the Urban Total-Factor Energy Efficiency: Evidence from 275 Cities in China," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    5. Huang, Chenchen & Lin, Boqiang, 2023. "Promoting decarbonization in the power sector: How important is digital transformation?," Energy Policy, Elsevier, vol. 182(C).
    6. Zhang, Wei & Liu, Xuemeng & Wang, Die & Zhou, Jianping, 2022. "Digital economy and carbon emission performance: Evidence at China's city level," Energy Policy, Elsevier, vol. 165(C).
    7. Yin, Zi Hui & Zeng, Wei Ping, 2023. "The effects of industrial intelligence on China's energy intensity: The role of technology absorptive capacity," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    8. Shuke Fu & Jiabei Liu & Jiali Tian & Jiachao Peng & Chuyue Wu, 2023. "Impact of Digital Economy on Energy Supply Chain Efficiency: Evidence from Chinese Energy Enterprises," Energies, MDPI, vol. 16(1), pages 1-21, January.
    9. Zhuoxi Yu & Shan Liu & Zhichuan Zhu, 2022. "Has the Digital Economy Reduced Carbon Emissions?: Analysis Based on Panel Data of 278 Cities in China," IJERPH, MDPI, vol. 19(18), pages 1-18, September.
    10. Bai, Ling & Guo, Tianran & Xu, Wei & Liu, Yaobin & Kuang, Ming & Jiang, Lei, 2023. "Effects of digital economy on carbon emission intensity in Chinese cities: A life-cycle theory and the application of non-linear spatial panel smooth transition threshold model," Energy Policy, Elsevier, vol. 183(C).
    11. Yingzi Chen & Wanwan Yang & Yaqi Hu, 2022. "Internet Development, Consumption Upgrading and Carbon Emissions—An Empirical Study from China," IJERPH, MDPI, vol. 20(1), pages 1-23, December.
    12. Lisi Tan & Zhuodong Yang & Muhammad Irfan & Chante Jian Ding & Mingjun Hu & Jin Hu, 2024. "Toward low‐carbon sustainable development: Exploring the impact of digital economy development and industrial restructuring," Business Strategy and the Environment, Wiley Blackwell, vol. 33(3), pages 2159-2172, March.
    13. Senhua Huang & Feng Han & Lingming Chen, 2023. "Can the Digital Economy Promote the Upgrading of Urban Environmental Quality?," IJERPH, MDPI, vol. 20(3), pages 1-21, January.
    14. Yating Zeng & Xinyue Xu & Yuyao Zhao & Bin Li, 2023. "Impact of Digital Economy on the Upgrading of Energy Consumption Structure: Evidence from Mainland China," Sustainability, MDPI, vol. 15(7), pages 1-18, March.
    15. Qiong Xu & Xin Li & Fei Guo, 2023. "Digital transformation and environmental performance: Evidence from Chinese resource‐based enterprises," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(4), pages 1816-1840, July.
    16. Ran, Qiying & Yang, Xiaodong & Yan, Hongchuan & Xu, Yang & Cao, Jianhong, 2023. "Natural resource consumption and industrial green transformation: Does the digital economy matter?," Resources Policy, Elsevier, vol. 81(C).
    17. Jun Liu & Yu Qian & Huihong Chang & Jeffrey Yi-Lin Forrest, 2022. "The Impact of Technology Innovation on Enterprise Capacity Utilization—Evidence from China’s Yangtze River Economic Belt," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
    18. Octavio Fernández-Amador & Joseph F. Francois & Doris A. Oberdabernig & Patrick Tomberger, 2020. "Economic growth, sectoral structures, and environmental methane footprints," Applied Economics, Taylor & Francis Journals, vol. 52(13), pages 1460-1475, March.
    19. Yunyan Jiang & Feng Deng, 2022. "Multi-Dimensional Threshold Effects of the Digital Economy on Green Economic Growth?—New Evidence from China," Sustainability, MDPI, vol. 14(19), pages 1-22, October.
    20. Peng, Hui & Lu, Yaobin & Wang, Qunwei, 2023. "How does heterogeneous industrial agglomeration affect the total factor energy efficiency of China's digital economy," Energy, Elsevier, vol. 268(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1564-:d:1057752. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.