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Sustainable Resilience in Green Supply Chain Management
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Sustainable Resilience in Green Supply Chain Management

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".

Deadline for manuscript submissions: closed (31 January 2023) | Viewed by 11956

Special Issue Editors

Dr. Xiang Ji

E-Mail Website
Guest Editor
School of Management, University of Science and Technology of China, Hefei 230026, China
Interests: sustainable operations; data envelopment analysis; OM–marketing interface; IS–marketing interface; environment management
Prof. Dr. Qingyuan Zhu

E-Mail Website
Guest Editor
College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China
Interests: efficiency analysis; energy and environmental management; OM and marketing
Dr. Feng Li

E-Mail Website
Guest Editor
School of Business Administration, Southwestern University of Finance and Economics, Chengdu 611130, China
Interests: data envelopment analysis; environment sustainability; supply chain finance
Dr. Zhixin Chen

E-Mail Website
Guest Editor
School of Management, University of Science and Technology of China, Hefei 230026, China
Interests: sustainable operations; operations management–marketing interface; product line design; supply chain disruption

Special Issue Information

Dear Colleagues,

We propose this Special Issue intending to feature research on how firms can achieve sustainable resilience in green supply chain management. We welcome papers in this area that adopt a wide range of methods, including case studies, qualitative comparative analyses of multiple cases, various quantitative methods, etc.

Green supply chain management has become one of the most important concepts in modern supply chain management, as the whole of society pays more and more attention to achieving sustainability in development. However, due to the COVID-19 pandemic, the global supply chains are now suffering from unprecedented severe challenges and uncertainties. The advancement of resilience is thought to be one possible solution for mitigating the increasing risk of disruption of global supply chains due to the COVID-19 pandemic. However, the essential characteristics of the post-pandemic era make the conventional insights and guidelines for achieving resilience less effective. Novel theories and methods for supply chain resilience are needed in order to provide both managers and policymakers with qualitative and quantitative managerial suggestions. Additionally, in the post-pandemic era, firms should carefully balance the improvement of resilience and the resource shortage due to the heavy pressure of global logistics. Thus, firms in the post-pandemic era should make efforts to facilitate sustainable resilience in green supply chain management.

Topics to be covered include, but are not limited to：

  • Assessment of resilience level in green supply chain management;
  • Assessment of sustainability for supply chain resilience;
  • Resilience mechanisms between governments and firms;
  • Resilient coordination for green supply chain management in the post-pandemic era;
  • Resilient network design for green supply chains in the post-pandemic era;
  • Mechanism design and operations management for resilient green supply chains;
  • Risk management for resilient green supply chains;
  • The roles of transformative marketing in resilient green supply chains;
  • The roles of disruptive technologies in resilient green supply chains;
  • The roles of advanced information technologies in resilient green supply chains.

Dr. Xiang Ji
Prof. Dr. Qingyuan Zhu
Dr. Feng Li
Dr. Zhixin Chen
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sustainable resilience
  • green supply chain management
  • sustainability
  • disruption risk
  • post-pandemic era
  • assessment
  • coordination
  • mechanism design
  • marketing
  • disruptive technology

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Published Papers (5 papers)

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Research

15 pages, 898 KiB  
Article
Empirical Analysis of Financing Efficiency and Constraints Effects on the Green Innovation of Green Supply Chain Enterprises: A Case Study of China
by Jiarui Fan and Yuning Zhou
Sustainability 2023, 15(6), 5300; https://doi.org/10.3390/su15065300 - 16 Mar 2023
Cited by 8 | Viewed by 2530
Abstract
Along with the deterioration of environmental problems, the green supply chain has become an important strategy for Chinese enterprises to improve their competitiveness in the global market. Most enterprises in green supply chains have promoted their green innovation and thus have improved their [...] Read more.
Along with the deterioration of environmental problems, the green supply chain has become an important strategy for Chinese enterprises to improve their competitiveness in the global market. Most enterprises in green supply chains have promoted their green innovation and thus have improved their green performance by managing upstream and downstream enterprises. However, the green innovation capability might be also related to the financing efficiency and financing constraints of enterprises. To reveal the impact of financing efficiency and financing constraints on corporate green innovation, we conducted an empirical study. We considered a sample of 120 listed companies of the green supply chain from 2018 to 2020. The financing efficiency score was calculated using the input–output analysis method of data envelopment analysis, while the financing constraint score was measured using the financing constraints model. Further, multiple linear regression was used to estimate the regression coefficient and investigate the impacts of financing efficiency and financing constraints on corporate green innovation. The results show that a higher financing efficiency can promote green innovation and the financing constraints can limit the green innovation of green supply chain enterprises. Afterward, we provide a summary of innovation embedded in green supply chains. Full article
(This article belongs to the Special Issue Sustainable Resilience in Green Supply Chain Management)
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17 pages, 738 KiB  
Article
Retailers’ Audit Strategies for Green Agriculture Based on Dynamic Evolutionary Game
by Xingyi Yang, Xiaopei Dai and Zhenyu Liu
Sustainability 2023, 15(4), 3261; https://doi.org/10.3390/su15043261 - 10 Feb 2023
Cited by 1 | Viewed by 1664
Abstract
Green agriculture can minimize the negative impact of agriculture on the environment, and green products are usually sold at a higher price due to their green attributes. This induces farmers to produce conventional products and falsely sell them as green products. To better [...] Read more.
Green agriculture can minimize the negative impact of agriculture on the environment, and green products are usually sold at a higher price due to their green attributes. This induces farmers to produce conventional products and falsely sell them as green products. To better promote the development of the green agricultural product market, we study the effect of retailers’ audit strategies, premium policies and farmers’ punishment policy on farmers’ decisions. We develop an evolutionary game theory model to describe evolutionary behaviors of farmers and retailers. Then, we analyze the evolutionary stability strategies in different scenarios and numerically simulate the evolution of farmers’ decisions and retailers’ decisions to verify theoretical results. The results show that the static premium policy is not an ideal policy to promote the development of green agriculture, whereas the dynamic premium policy, as well as the dynamic premium and farmers’ punishment policy, could lead to an effective green market. A higher maximum premium encourages more farmers to produce true green products and may allow more retailers not to audit farmers. Moreover, if the punishment for farmers increases, more retailers will not audit farmers, leading to lower audit cost. Finally, a lower audit fee could motivate more farmers to produce true green products. Full article
(This article belongs to the Special Issue Sustainable Resilience in Green Supply Chain Management)
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15 pages, 1450 KiB  
Article
Sustainable Urban Logistics Distribution Network Planning with Carbon Tax
by Jidong Guo, Qiuhong Zhao and Menghao Xi
Sustainability 2022, 14(20), 13184; https://doi.org/10.3390/su142013184 - 14 Oct 2022
Cited by 3 | Viewed by 1983
Abstract
Global warming caused by excessive carbon dioxide emissions is threatening the sustainable development of human society. Considering the upcoming carbon tax policy in China, this paper studies the planning of dual-level urban logistics distribution network in the context of carbon emissions. Based on [...] Read more.
Global warming caused by excessive carbon dioxide emissions is threatening the sustainable development of human society. Considering the upcoming carbon tax policy in China, this paper studies the planning of dual-level urban logistics distribution network in the context of carbon emissions. Based on reasonable assumptions, a bi-objective mixed-integer programming model considering logistics operating costs and carbon emission costs is constructed. Given the problem size, an improved genetic algorithm is designed. Based on a numerical example, the optimization results of the improved genetic algorithm and the GLPK optimization suite are compared to verify the effectiveness of the proposed model and algorithm. Under different carbon tax rates, by adjusting the logistics distribution network along, the logistics operators can achieve a maximum cost savings of 19.4%, while carbon emissions can be reduced by up to 47.8%. The major conclusions include: carbon tax will bring about huge cost burdens for urban logistics operators; the reconfiguration of urban logistics network is a powerful measure to reduce carbon emission with the least extra costs; with problem size rises quickly, the intelligent algorithm as proposed in this article can always find near optimal solutions with acceptable time costs. Full article
(This article belongs to the Special Issue Sustainable Resilience in Green Supply Chain Management)
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18 pages, 337 KiB  
Article
A Decision Model for Free-Floating Car-Sharing Providers for Sustainable and Resilient Supply Chains
by Wei Zhou, Haixia Wang, Victor Shi and Xiding Chen
Sustainability 2022, 14(13), 8159; https://doi.org/10.3390/su14138159 - 4 Jul 2022
Cited by 2 | Viewed by 2050
Abstract
For green and sustainable supply chains, transportation resilience is a critical issue. Car Sharing is an effective way to improve transportation resilience. The emerging car-sharing industry continues to attract a lot of investment, but few companies in the industry are profitable. Indeed, numerical [...] Read more.
For green and sustainable supply chains, transportation resilience is a critical issue. Car Sharing is an effective way to improve transportation resilience. The emerging car-sharing industry continues to attract a lot of investment, but few companies in the industry are profitable. Indeed, numerical experiments based on dynamic models in this paper showed that it was challenging for a car-sharing company to be profitable. As the numerical experiments followed the fractional factorial designs, from the factor analysis, it is suggested that a new car-sharing business first study the external business environment. Even if the external environment is sound, the company still needs to pay attention to internal operations management. Moreover, when the company decides the number of cars it owns and the fleet size, it should consider factors including variable daily expenses, maintenance costs, salvage value, and commission. Full article
(This article belongs to the Special Issue Sustainable Resilience in Green Supply Chain Management)
24 pages, 1313 KiB  
Article
Data-Driven Evaluation and Optimisation of Livelihood Improvement Efficiency
by Muchen Luo and Yimin Wu
Sustainability 2022, 14(13), 8131; https://doi.org/10.3390/su14138131 - 3 Jul 2022
Cited by 1 | Viewed by 2177
Abstract
In this study, we developed a data-driven approach for the evaluation and optimisation of livelihood improvement efficiency (LIE) to address slowing global economic growth and the decline in well-being in the broader population, enhance the quality of people’s livelihoods, and promote sustainable social [...] Read more.
In this study, we developed a data-driven approach for the evaluation and optimisation of livelihood improvement efficiency (LIE) to address slowing global economic growth and the decline in well-being in the broader population, enhance the quality of people’s livelihoods, and promote sustainable social development. We designed a questionnaire survey and constructed an evaluation index system based on a comprehensive consideration of economic resources, social security and employment, education, and health. Using principal component analysis, entropy weighting, and data envelopment analysis, we optimised the evaluation indicators and quantitatively assessed LIE. We used a Tobit regression model to analyse the factors influencing LIE and provide decision-making support for proposing countermeasures to optimise LIE. Based on the research data, we administered the questionnaire survey to 3125 residents in 16 cities in China’s Anhui Province and demonstrated the applicability of the aforementioned method. The results indicate that there is room for optimising LIE in cities in Anhui Province, which needs to be achieved through the following steps: controlling costs and avoiding waste, encouraging entrepreneurship, increasing income, guiding the direction of industrial growth, optimising regional population structure, and promoting public participation to enhance people’s livelihoods. Full article
(This article belongs to the Special Issue Sustainable Resilience in Green Supply Chain Management)
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