Bibliometric Analysis of a Product–Service System’s Rebound Effect: Identification of a Potential Mitigation Strategy
Abstract
:1. Introduction
- (1)
- What is the clusterisation and network influence of the PSS rebound?
- (2)
- What are the identified drivers based on the records studied?
- (3)
- What mitigation strategies can be proposed as possible alternatives?
2. Theoretical Foundation
2.1. RE
2.2. PSSs
2.3. PSS-RE
3. Methods
3.1. Review Questions
3.2. Locating the Studies
3.3. Critical Appraisal
3.4. Analysis and Synthesis of the Findings
3.5. Dissemination of the Findings
4. Findings
4.1. Cluster and Network Analysis of PSS and RE
4.2. Driver of the RE
4.2.1. Direct RE
4.2.2. Indirect RE
4.2.3. Economy-Wide RE
4.3. RE Mitigation Strategies in PSSs
4.3.1. Taxation Approach
4.3.2. Market-Based Approach
4.3.3. User-Centred Approach
4.3.4. Evaluation Approach
4.3.5. Value-Focused Approach
4.3.6. CE Approach
5. Discussion
5.1. Observations and Answers to the Research Questions
5.2. Research Limitations
5.3. Further Research Direction
6. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Research Protocol | Description |
---|---|
Database | Scopus, Web of Science |
Search field | Title-Abstract-Keywords |
Search string | ‘rebound effect’ AND ‘product-service system’ OR ‘circular economy’ |
Language | English-only |
Publication type | Peer-reviewed journals and conference papers |
Inclusion criteria | Papers that addressed the fields of PSSs and the rebound effect (even if one of the topics was not the primary focus) |
Exclusion criteria | Papers that did not address topics related to the RE and PSS or related synonymous concepts or did not report the pertinent perceived effect |
Type of RE | Driver | Time of Occurrence | Contextual Dependencies | Reference |
---|---|---|---|---|
Direct | Non-ownership and low product attachment | During the usage phase of the PSS | Influence of user behaviour and emotional affinity with the product | [24,56,64] |
Adapted user behaviour | Along the implementation of the PSS | Adaptive response to resource reduction or enhancements | [44,65,66] | |
Changes in user behaviour, consumption practices, and attitudes | During the usage phase of the PSS | User behaviour and socio-psychological factors | [70] | |
Socio-psychological factors | During the usage phase of the PSS | Influence of attitudes on user consumption behaviour | [69] | |
Indirect | Incremental enhancements in material and energy efficiency | Along the implementation of the PSS | System behaviour resulting from a reinforcing feedback loop | [74] |
Changes in efficiency, consumption, and production factors | Along the implementation of the PSS | Changes in price elasticity and behavioural responses | [75] | |
Wide-Economy | Increase in efficiency causing price elasticity | Along the implementation of the PSS | Effect on consumption patterns and potential benefits | [44,76,77,78] |
Approach | Mitigation Strategy | Phase of Implementation | Typical Problems | Reference |
---|---|---|---|---|
Taxation approach | Energy and carbon taxes | Policy development and enforcement | Resistance from industries, potential economic impacts | [79] |
Bonus–malus schemes | Policy development and enforcement | Designing effective incentive structures | [75] | |
Market-based approach | Cap-and-trade schemes | Policy development and implementation | Setting appropriate emission limits, market stability | [80,81,82,83] |
User-centred approach | User- and stakeholder-integrated settings | Design and implementation phase | Balancing diverse stakeholder interests | [65] |
Evaluation approach | Assessment of differences in value outcomes through LCA | Design and development phase | Identifying relevant criteria, data availability | [70,87] |
Value-focused approach | Eco-efficient value creation | Long-term strategic planning | Balancing environmental and economic objectives | [76] |
Circular economy approach | Secondary production | Implementation and operational phase | Establishing efficient collection and recycling systems | [84,85] |
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Alfarisi, S.; Mitake, Y.; Tsutsui, Y.; Wang, H.; Shimomura, Y. Bibliometric Analysis of a Product–Service System’s Rebound Effect: Identification of a Potential Mitigation Strategy. Systems 2023, 11, 452. https://doi.org/10.3390/systems11090452
Alfarisi S, Mitake Y, Tsutsui Y, Wang H, Shimomura Y. Bibliometric Analysis of a Product–Service System’s Rebound Effect: Identification of a Potential Mitigation Strategy. Systems. 2023; 11(9):452. https://doi.org/10.3390/systems11090452
Chicago/Turabian StyleAlfarisi, Salman, Yuya Mitake, Yusuke Tsutsui, Hanfei Wang, and Yoshiki Shimomura. 2023. "Bibliometric Analysis of a Product–Service System’s Rebound Effect: Identification of a Potential Mitigation Strategy" Systems 11, no. 9: 452. https://doi.org/10.3390/systems11090452