
Analysis of Transformation and Upgrading Path of a Steel Structure Company in Zibo City, Shandong Province under the Concept of Sustainable Development
- 1 School of Chemical and Environmental Engineering, China University of Mining & Technology (Beijing), Beijing, 100083, China
* Author to whom correspondence should be addressed.
Abstract
In the context of global climate change, green and low-carbon development has emerged as an international consensus. China has established a dual-carbon target, aiming for carbon peaking by 2030 and carbon neutrality by 2060, thereby necessitating the green transformation of high-energy-consuming and high-emission industries. As a major carbon emitter, the construction industry needs novel development models to achieve sustainable development. The circular economy concept aligns well with steel structures, noted for their energy efficiency, environmental sustainability, recyclability, and high assembly efficiency. And this is a crucial pathway for the sustainable transformation of the building sector. This paper selects a typical steel structure enterprise in Zibo, Shandong Province as the research target. The corporate sustainability report and financial data from 2019 to 2023 employ the mutation level method to evaluate the impact on the enterprise’s economic performance, green performance, and operational performance across dimensions such as technological innovation, R&D investment, environmental protection expenditures, policy environment, and human resource allocation. The results show that the enterprise, under the guidance of the policy and its own strategic adjustment, has achieved remarkable results in its green transformation and continued to improve its performance indicators, while revealing the key paths of resource allocation optimization and green innovation.
Keywords
Sustainable Development, Green Transformation, Steel Structure Enterprises, Catastrophe Progression Method
[1]. Liu, X. (2024) The impact of digital transformation of new energy enterprises on sustainable development performance under the background of “dual carbon”. Inner Mongolia University of Finance and Economics.
[2]. Li, Q.W., et al. (2022) Development Status and Prospect of Steel Structure Industry under Dual Carbon Target. Progress in Construction Steel Structure, 24(04): 1-6+23.
[3]. Hong, Y.Y. and He, Q. (2009) The evaluation analysis of green technological innovation. Comprehensive Evaluation of Economy and Society with Statistical Science, 547-550.
[4]. Xie, J.M., Tang. X.W. and Shao. Y.F. (2012) Researchonstratified cluster evaluation of enterprise green technology innovation based on the rough set. Technology and Investment, 3: 68-73.
[5]. Zhou. Z.F. (2014) On Evaluation Model of Green Technology Innovation Capability of Pulp and Paper Enterprise Based on Support Vector Machines. Advanced Materials Research, 886: 285-288.
[6]. Sun, L.Y., Miao, C.L. and Yang, L. (2017) Ecological-economic efficiency evaluation of green technology innovation in strategic emerging industries based on entropy weighted TOPSOS method. Ecological Indicators, 73: 554–558.
[7]. Tong, L., Zhong, S. and Zhang, X. (2017) Evaluation on green development ability of Chinese automobile manufacturing enterprises. In International conference on industrial economics system and industrial security engineering , 1-8.
[8]. Zeng, Z. (2017) Model for evaluating the Technological Innovation Capability in High-tech Enterprises with Fuzzy Number Intuitionistic Fuzzy Information. J. Intell. Fuzzy Syst., 33: 2085-2094.
[9]. Lin, S.F., Sun, D. and Zhao, M.D. (2018) Evaluation of the green technology innovation efficiency of China’s manufacturing industries: DEA window analysis with ideal window width. Technology Analysis &Strategic Management, 30(10): 1166-1181.
[10]. Wang, W.X., et al. (2017) Estimation of innovation’s green performance: A range-adjusted measure approach to assess the unified efficiency of China’s manufacturing industry. Journal of Cleaner Production, 149: 919-924.
[11]. Chiou. T.Y., et al. (2011) The influence of greening the suppliers and green innovation on environmental performance and competitive advantage in Taiwan. Transportation Research Part E, 47(6): 822-836.
[12]. Pan,, X., et al. (2020) Green innovation ability evaluation of manufacturing enterprises based on AHP–OVP model. Ann Oper Res, 290: 409-419).
[13]. Li, Y, Chen, X.H. and Zhang, P.F. (2007) Application of mutation series method in regional ecosystem health assessment[J].Chinese Population, Resources and Environment, 2007(03): 50-54.
[14]. Zhu Shunquan. Research on comprehensive evaluation of listed company performance based on mutation series method[J].Systems Engineering Theory & Practice,2002,(02):90-94+117.)
[15]. Han, S.P. (2022) Analysis and countermeasures of transformation and upgrading of D iron and steel company under the concept of green and sustainable development. Shijiazhuang Tiedao University.
[16]. Yin. P. and Liu, D. (2022) Study on the Chinese MSMEs Development in the Post-Epidemic Era[J].Academic Journal of Business & Management, 4(19):
Cite this article
Li,A. (2025).Analysis of Transformation and Upgrading Path of a Steel Structure Company in Zibo City, Shandong Province under the Concept of Sustainable Development.Advances in Economics, Management and Political Sciences,162,191-199.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
Disclaimer/Publisher's Note
The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content
About volume
Volume title: Proceedings of the 4th International Conference on Business and Policy Studies
© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and
conditions of the Creative Commons Attribution (CC BY) license. Authors who
publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons
Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this
series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published
version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial
publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and
during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See
Open access policy for details).