Research on the Practical Path of Resource-Based Enterprises to Improve Environmental Efficiency in Digital Transformation
Abstract
:1. Introduction
2. Literature Review
2.1. The Background of the Resource-Based Enterprises Digital Transformation
2.2. Sustainable Development of Resource-Based Enterprises under Digital Transformation
2.2.1. Operational Capability
2.2.2. Policy Environment
2.2.3. Value Objective
2.3. Research Framework
3. Materials and Methods
3.1. Method
3.2. Data Sources
3.3. Variable Measurements
3.3.1. Result Variable
3.3.2. Conditional Variable
3.4. Data Calibration
4. Results
4.1. Necessity Analysis
4.2. Conditional Configuration Analysis
4.3. Robustness Aanalysis
5. Discussion
6. Conclusions
6.1. Research Conclusion
- (1)
- The high level of environmental efficiency of resource-based enterprises is the result of the synergistic effect of multiple factors; all factors are effectively combined to enhance the green effect of enterprises in the way of “same destination from different pathways”. Different types of enterprises can optimize the appropriate path of transformation with the help of digital technology technical characteristics and resource endowment, so as to activate the green vitality of enterprises and promote the sustainable development of green economy.
- (2)
- The high-level environmental efficiency of resource-based enterprises needs to be composed of multi-dimensional condition variables collaboratively and concurrently. Through configuration matching, four pathways to achieve high-level environmental efficiency are explored, which mainly include the “technical guarantee type” composed of variables such as digital capabilities, green technology innovation, environmental information disclosure and environmental regulation intensity; “strategy driven type”, consisting of variables such as digital leadership, green technology innovation, digital capabilities and digital policy support; “pressure lead type”, consisting of variables such as the intensity of environmental regulation, environmental information disclosure and digital capabilities; and “policy pulled type”, consisting of variables such as digital policy support, digital capabilities, green technology innovation and environmental regulation intensity.
- (3)
- In the process of green development, digital technology affects the interaction mode between resource-based enterprises and the environment, which can be divided into “capability-oriented” and “environment-oriented” models, which can clearly reflect the behavioral characteristics of resource-based enterprises using digital technology to carry out green innovation and coping strategies for changes in the digital business environment. Among them, the green development of the power supply industry and the material processing industry is more in line with the “capacity-oriented” model, and the green development of the steel manufacturing industry and the energy extraction industry is more in line with the “environment-oriented” model.
6.2. Practical Contribution
6.3. Research Limitations and Prospects
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Industry | Code | Firm Name |
---|---|---|
Mining and washing industry | B06 | Coal mining and washing industry |
B07 | Oil and natural gas extraction industry | |
B08 | Black metal mining industry | |
B09 | Non-ferrous metal mining and beneficiation industry | |
B10 | Non-metallic ore mining and beneficiation industry | |
Primary processing industry | C25 | Petroleum processing and coking industry |
C26 | Chemical raw materials and chemical products manufacturing industry | |
C30 | Non-metallic mineral products industry | |
C31 | Black metal smelting and calendering industry | |
C32 | Non-ferrous metal smelting and rolling processing industry | |
C33 | Metal products industry | |
D44 | Power and heat production and supply industry |
Classifications | Digital Foundation | Digital Application |
---|---|---|
Artificial Intelligence Technology | Artificial Intelligence, Business Intelligence, Image Understanding, Investment Decision Assistance System, Intelligent Data Analysis, Intelligent Robot, Machine Learning, Deep Learning, Semantic Exploration, Biometrics Technology, Face Recognition, Speech Recognition, Identity Authentication, Autonomous Driving, Natural Language Processing | Industrial Internet, Industrial Internet, Internet Solutions, Internet Thinking, Internet Action, Internet Business, Internet Application, Internet Strategy, Internet Platform, Internet Model, Internet Ecology, Internet, Networking, Smart Energy, Intelligent Transportation, Intelligent Investment, Intelligent Environmental Protection, Smart Grid, Smart Factory, Smart Logistics, Intelligent Manufacturing, Intelligent Management, Intelligent Production, Intelligent Control, Information Integration, Information System, Automatic Control, Automatic Monitoring, Automatic Monitoring, Automatic Detection, Automatic Production Digital Control, Industrial Information, Industrial Communications, Future Factory, Unmanned Retail, Virtual Manufacturing, Integration |
Big Data Technology | Big Data, Data Mining, Text Mining, Data Visualization, Heterogeneous Data, Credit Investigation, Augmented Reality, Mixed Reality, Virtual Reality | |
Cloud Computing Technology | Cloud Computing, Stream Computing, Graph Computing, In-Memory Computing, Multi-Party Secure Computing, Brain-Like Computing, Green Computing, Cognitive Computing, Converged Architecture, Billion-Level Concurrency, Exabyte-Level Storage, Internet of Things, Cyber–Physical Systems | |
Blockchain Technology | Blockchain, Digital Currency, Distributed Computing, Differential Privacy Technology, Smart Financial Contracts |
Number | Disclosure of Project Content |
---|---|
1 | Enterprise environmental protection investment and environmental technology development |
2 | Environmental protection-related government appropriations, financial subsidies and tax breaks |
3 | Emission and emission reduction in pollutants from enterprises |
4 | ISO environment system certification-related information |
5 | Measures to improve the ecological environment |
6 | The impact of government environmental protection policies on enterprises |
7 | Loans related to environmental protection |
8 | Legal suits, compensation, fines and awards related to environmental protection |
9 | The concept and goal of enterprise environmental protection |
10 | Other environmentally related income and expenditure items |
Conditional Variable | Consistence | Coverage |
---|---|---|
Digital leadership | 0.612 | 0.721 |
Digital capability | 0.634 | 0.732 |
Environmental information disclosure | 0.643 | 0.751 |
Green technology innovation | 0.628 | 0.689 |
Digital policy support | 0.671 | 0.703 |
Environmental regulation intensity | 0.674 | 0.711 |
Condition Configuration | Configuration 1 | Configuration 2 | Configuration 3 | Configuration 4 |
---|---|---|---|---|
Digital leadership | ● | |||
Digital capability | ● | ○ | ○ | ● |
Environmental information disclosure | ○ | ● | ||
Green technology innovation | ● | ● | ○ | |
Digital policy support | ○ | ● | ||
Environmental regulation intensity | ○ | ● | ○ | |
Consistence | 0.851 | 0.864 | 0.831 | 0.812 |
Coverage | 0.261 | 0.294 | 0.314 | 0.123 |
Unique coverage | 0.097 | 0.076 | 0.103 | 0.034 |
Concordance of solutions | 0.832 | |||
The coverage of the solution | 0.625 |
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Ruan, T.; Gu, Y.; Li, X.; Qu, R. Research on the Practical Path of Resource-Based Enterprises to Improve Environmental Efficiency in Digital Transformation. Sustainability 2022, 14, 13974. https://doi.org/10.3390/su142113974
Ruan T, Gu Y, Li X, Qu R. Research on the Practical Path of Resource-Based Enterprises to Improve Environmental Efficiency in Digital Transformation. Sustainability. 2022; 14(21):13974. https://doi.org/10.3390/su142113974
Chicago/Turabian StyleRuan, Tianshun, Ying Gu, Xinhao Li, and Rong Qu. 2022. "Research on the Practical Path of Resource-Based Enterprises to Improve Environmental Efficiency in Digital Transformation" Sustainability 14, no. 21: 13974. https://doi.org/10.3390/su142113974