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

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  • 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
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    References listed on IDEAS

    as
    1. 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.
    2. RAN, Long, 2022. "Analysis on the System of Compensation for Eco-environmental Damage," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 14(01), January.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    11. 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.
    12. Stan Veuger & Daniel Shoag, 2014. "Shops and the city," AEI Economics Working Papers 416683, American Enterprise Institute.
    13. 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.
    14. 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).
    15. 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.
    16. 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).
    17. 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.
    18. 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.
    19. repec:aei:rpaper:40753 is not listed on IDEAS
    20. 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.
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    1. 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.

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