IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i16p10168-d889716.html

Green Technology Innovation, Energy Consumption Structure and Sustainable Improvement of Enterprise Performance

Author

Listed:
  • Chenggang Wang

    (School of Economics and Business Administration, Heilongjiang University, Harbin 150080, China)

Abstract

In order to promote the coordinated development of social and economic development and the natural environment, high-end equipment manufacturing (HEM) enterprises should promote the sustainable development of the green economy. In this process, HEM enterprises need to strengthen the green technology innovation ability and optimize the energy consumption structure. In this way, it will be beneficial to the sustainable improvement of HEM enterprise performance. On the basis of sorting out relevant research literature, this study uses structural equation modeling and hierarchical regression analysis to systematically study the impact of green technology innovation on the continuous improvement of HEM enterprise performance. Currently, there are many difficulties in the research of this paper, such as variable selection, index measurement, empirical testing process and so on. However, based on the success of previous academic research, this paper overcame the difficulties and completed this research. In this study, the energy consumption structure is an intermediary variable, and the government policy support is a moderator variable. A relationship model of the impact of green technology innovation on the continuous improvement of HEM enterprises’ performance is constructed. In addition, the author conducts a confirmatory analysis of the relationship between multiple variables. The conclusions of this study are as follows: (1) Green technology innovation has a significant positive impact on the performance improvement of HEM enterprises. (2) Energy consumption structure plays a partial mediating role between green technology innovation and enterprise performance improvement. (3) Government policy support regulates the relationship between green technology innovation and HEM enterprise performance improvement. That is to say that the stronger the government’s policy support for green technology innovation, the stronger the green technology innovation impetus of HEM enterprises, and the better the effect of HEM enterprise performance improvement.

Suggested Citation

  • Chenggang Wang, 2022. "Green Technology Innovation, Energy Consumption Structure and Sustainable Improvement of Enterprise Performance," Sustainability, MDPI, vol. 14(16), pages 1-21, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:16:p:10168-:d:889716
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/16/10168/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/16/10168/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. RAN, Long, . "Analysis on the System of Compensation for Eco-environmental Damage," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 14(01).
    2. David S. Bullock, 1992. "Objectives and Constraints of Government Policy: The Countercyclicity of Transfers to Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(3), pages 617-629.
    3. Shunichi Hienuki & Yoshie Hirayama & Tadahiro Shibutani & Junji Sakamoto & Jo Nakayama & Atsumi Miyake, 2019. "How Knowledge about or Experience with Hydrogen Fueling Stations Improves Their Public Acceptance," Sustainability, MDPI, vol. 11(22), pages 1-12, November.
    4. Lucrecia Bertelli, 2021. "What kind of global city? Circulating policies for ‘slum’ upgrading in the making of world-class Buenos Aires," Environment and Planning A, , vol. 53(6), pages 1293-1313, September.
    5. Fakhimi, MohammadAmin & Miremadi, Iman, 2022. "The impact of technological and social capabilities on innovation performance: a technological catch-up perspective," Technology in Society, Elsevier, vol. 68(C).
    6. Mario Calderini & Giuseppe Scellato, 2005. "Academic research, technological specialization and the innovation performance in European regions: an empirical analysis in the wireless sector," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 14(2), pages 279-305, April.
    7. Daniel Shoag & Stan Veuger, 2018. "Shops and the City: Evidence on Local Externalities and Local Government Policy from Big-Box Bankruptcies," The Review of Economics and Statistics, MIT Press, vol. 100(3), pages 440-453, July.
    8. Jian Hou & Heng Chen & Jianzhong Xu, 2017. "External Knowledge Sourcing and Green Innovation Growth with Environmental and Energy Regulations: Evidence from Manufacturing in China," Sustainability, MDPI, vol. 9(3), pages 1-17, February.
    9. Shao, Yanmin & Chen, Zhongfei, 2022. "Can government subsidies promote the green technology innovation transformation? Evidence from Chinese listed companies," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 716-727.
    10. Erik Brynjolfsson & Lorin M. Hitt, 2000. "Beyond Computation: Information Technology, Organizational Transformation and Business Performance," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 23-48, Fall.
    11. Min Xue & Chao Fu & Shan-Lin Yang, 2021. "Dynamic Expert Reliability Based Feedback Mechanism in Consensus Reaching Process with Distributed Preference Relations," Group Decision and Negotiation, Springer, vol. 30(2), pages 341-375, April.
    12. Gema Albort-Morant & Antonio Leal-Millán & Gabriel Cepeda-Carrion & Jörg Henseler, 2018. "Developing green innovation performance by fostering of organizational knowledge and coopetitive relations," Review of Managerial Science, Springer, vol. 12(2), pages 499-517, March.
    13. Keke Sun & Xia Cao & Zeyu Xing, 2021. "Can the Diffusion Modes of Green Technology Affect the Enterprise’s Technology Diffusion Network towards Sustainable Development of Hospitality and Tourism Industry in China?," Sustainability, MDPI, vol. 13(16), pages 1-18, August.
    14. Wang, Wei & Xiao, Weiwei & Bai, Caiquan, 2022. "Can renewable energy technology innovation alleviate energy poverty? Perspective from the marketization level," Technology in Society, Elsevier, vol. 68(C).
    15. Miao, Chenglin & Fang, Debin & Sun, Liyan & Luo, Qiaoling, 2017. "Natural resources utilization efficiency under the influence of green technological innovation," Resources, Conservation & Recycling, Elsevier, vol. 126(C), pages 153-161.
    16. Stan Veuger & Daniel Shoag, 2014. "Shops and the city," AEI Economics Working Papers 416683, American Enterprise Institute.
    17. Steven Boker & Michael Neale & Hermine Maes & Michael Wilde & Michael Spiegel & Timothy Brick & Jeffrey Spies & Ryne Estabrook & Sarah Kenny & Timothy Bates & Paras Mehta & John Fox, 2011. "OpenMx: An Open Source Extended Structural Equation Modeling Framework," Psychometrika, Springer;The Psychometric Society, vol. 76(2), pages 306-317, April.
    18. Razzaq, Asif & Wang, Yufeng & Chupradit, Supat & Suksatan, Wanich & Shahzad, Farrukh, 2021. "Asymmetric inter-linkages between green technology innovation and consumption-based carbon emissions in BRICS countries using quantile-on-quantile framework," Technology in Society, Elsevier, vol. 66(C).
    19. Pengzhen Liu & Liyuan Zhang & Heather Tarbert & Ziyu Yan, 2021. "Analysis on Spatio-Temporal Characteristics and Influencing Factors of Industrial Green Innovation Efficiency—From the Perspective of Innovation Value Chain," Sustainability, MDPI, vol. 14(1), pages 1-20, December.
    20. repec:aei:rpaper:40753 is not listed on IDEAS
    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. Hanna Lehtimäki & Kristina Leppälä & Nuppu Mielonen & Ville‐Veikko Piispanen & Kaisa Henttonen & Subhanjan Sengupta & Ida Parkkinen & Olena Liakh, 2026. "Sustainable Innovation Framework: A Review of Organization, Strategic Management, and Entrepreneurship Literature," Sustainable Development, John Wiley & Sons, Ltd., vol. 34(S1), pages 34-64, January.
    2. Dong, Jingrong & Zhang, Wenqing & Chen, Yuke & Li, Tingting, 2024. "Does technological progress mode affect just energy transition? A seemingly unrelated regression analysis based on Chinese provincial panel data," Energy, Elsevier, vol. 313(C).
    3. Xiaofeng Xu & Dongdong He & Tao Wang & Xiangyu Chen & Yichen Zhou, 2023. "Technological Innovation Efficiency of Listed Carbon Capture Companies in China: Based on the Dual Dimensions of Legal Policy and Technology," Energies, MDPI, vol. 16(3), pages 1-16, January.
    4. Lingxiang Huang & Jianyuan Zhang & Xiang Wang & Zhu Chen, 2025. "Evaluating the Economic Performance of Park City Policy—Based on the Penalized Version of Synthetic Control Method," Sustainability, MDPI, vol. 17(8), pages 1-18, April.
    5. Wang, Jianning & Duan, Keyi & Zheng, Yulu, 2025. "Green supply chain management, green technology innovation and firms' energy consumption intensity," Energy Economics, Elsevier, vol. 141(C).

    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. Janik, Agnieszka & Ryszko, Adam, 2025. "Open innovation and environmental sustainability–A systematic literature review from the firm-level perspective," Technological Forecasting and Social Change, Elsevier, vol. 218(C).
    2. Zhe Xu & Ying Wang & Xiaoliang Shi & Yingying Qiu & Chunzi Su & Dan He, 2025. "The Impact of Environmental Subsidies and Enforcement on Green Innovation: Evidence from Heavy-Polluting Enterprises in China," Sustainability, MDPI, vol. 17(3), pages 1-25, February.
    3. Bernstein, Shai & Colonnelli, Emanuele & Giroud, Xavier & Iverson, Benjamin, 2019. "Bankruptcy spillovers," Journal of Financial Economics, Elsevier, vol. 133(3), pages 608-633.
    4. Abbas, Shah & Xu, Deyi & Yuna, Gong & Hussain, Jamal & Abbas, Hussain & Rafique, Kalsoom, 2024. "The contribution of resource-based taxation, green innovation, and minerals trade toward ecological sustainability in resource-rich economies," Resources Policy, Elsevier, vol. 93(C).
    5. Aamir Javed & José Alberto Fuinhas & Agnese Rapposelli, 2023. "Asymmetric Nexus between Green Technology Innovations, Economic Policy Uncertainty, and Environmental Sustainability: Evidence from Italy," Energies, MDPI, vol. 16(8), pages 1-20, April.
    6. Johan Oud & Manuel Voelkle, 2014. "Do missing values exist? Incomplete data handling in cross-national longitudinal studies by means of continuous time modeling," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(6), pages 3271-3288, November.
    7. Alhassan Abdul-Wakeel Karakara & Evans Osabuohien, 2020. "ICT adoption, competition and innovation of informal firms in West Africa: a comparative study of Ghana and Nigeria," Journal of Enterprising Communities: People and Places in the Global Economy, Emerald Group Publishing Limited, vol. 14(3), pages 397-414, June.
    8. Lingzhang Kong & Jinye Li, 2022. "Digital Economy Development and Green Economic Efficiency: Evidence from Province-Level Empirical Data in China," Sustainability, MDPI, vol. 15(1), pages 1-26, December.
    9. Julia Eichholz & Thorsten Knauer & Sandra Winkelmann, 2023. "Digital Maturity of Forecasting and its Impact in Times of Crisis," Schmalenbach Journal of Business Research, Springer, vol. 75(4), pages 443-481, December.
    10. Shuangshuang Fan & Yichao Li & William Mbanyele & Xiufeng Lai, 2025. "Determinants and Pathways for Inclusive Growth in China: Investigation Based on Artificial Intelligence (AI) Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 65(3), pages 1231-1264, March.
    11. Minjing Yang & Cosimo Magazzino & Abraham Ayobamiji Awosusi & Navzodbek Abdulloev, 2024. "Determinants of Load capacity factor in BRICS countries: A panel data analysis," Natural Resources Forum, Blackwell Publishing, vol. 48(2), pages 525-548, May.
    12. René Riedl & Harald Kindermann & Andreas Auinger & Andrija Javor, 2012. "Technostress from a Neurobiological Perspective," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 4(2), pages 61-69, April.
    13. Kiley, Michael T., 2001. "Computers and growth with frictions: aggregate and disaggregate evidence," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 55(1), pages 171-215, December.
    14. Yunyao Li & Yanji Ma, 2022. "Research on Industrial Innovation Efficiency and the Influencing Factors of the Old Industrial Base Based on the Lock-In Effect, a Case Study of Jilin Province, China," Sustainability, MDPI, vol. 14(19), pages 1-23, October.
    15. Zara Contractor & Germ'an Reyes, 2025. "Generative AI in Higher Education: Evidence from an Elite College," Papers 2508.00717, arXiv.org, revised Apr 2026.
    16. Davide Consoli & Pier Paolo Patrucco, 2011. "Complexity and the Coordination of Technological Knowledge: The Case of Innovation Platforms," Chapters, in: Handbook on the Economic Complexity of Technological Change, chapter 8 Edward Elgar Publishing.
    17. Nguyen, Canh Phuc & Doan, Nguyen & Doan, Huong, 2025. "Small technologies make a big difference: Alleviating energy poverty to improve air quality," Technology in Society, Elsevier, vol. 82(C).
    18. López, Alberto, 2012. "Productivity effects of ICTs and organizational change: A test of the complementarity hypothesis in Spain," MPRA Paper 40400, University Library of Munich, Germany.
    19. Gangopadhyay, Partha & Jain, Siddharth & Bakry, Walid, 2022. "In search of a rational foundation for the massive IT boom in the Australian banking industry: Can the IT boom really drive relationship banking?," International Review of Financial Analysis, Elsevier, vol. 82(C).
    20. Zhou, Youcheng & Li, Bingchen & Zhao, Mengqi, 2025. "Asymmetric association between supply chain bottlenecks and consumer energy prices: Evidence from quantile-on-quantile approach," Energy Economics, Elsevier, vol. 147(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jsusta:v:14:y:2022:i:16:p:10168-:d:889716. 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.