Chain Enterprises Research Articles

The impact of corporate ESG performance on buyers’ bargaining power in the industrial chain: Evidence from China

This study investigates whether ESG performance improves the buyers’ bargaining power of listed enterprises in the industrial chain using a sample of Chinese A-share listed enterprises from 2009∼2021. Measuring buyer's bargaining power with a new trade-credit-based method, we find a positive relation between ESG performance and buyers’ bargaining power in the industrial chain, which is robust to a series of robustness tests. Cross-sectional analysis indicates that this positive effect is more substantial for listed enterprises after China joined the Paris Agreement, for listed enterprises facing stronger competition and for listed enterprises with less analyst coverage. Overall, this study elucidates the economic benefits of enterprises’ environmentally and socially responsible behaviours and the determinants of enterprises’ bargaining power in the industrial chain.

Horizontal cooperation strategies for competing manufacturers in a capital constrained supply chain

Many studies concentrate on the vertical collaboration between upstream and downstream enterprises in the supply chain. However, we have observed that some competing manufacturers also engage in horizontal collaboration in practice, where they hold minority ownership shares in their rival, especially for those with limited initial capital. Although such collaboration has become increasingly prevalent, achieving the expected effects remains challenging due to frequent conflicts in collaboration mechanisms. This study considers a two-echelon supply chain with one supplier and two manufacturers with different financial statuses, where manufacturer 2 not only engages in Cournot competition with manufacturer 1, but also offers a horizontal collaboration contract as a collaborator. By incorporating the initial capital of manufacturer 1, we develop a benchmark sufficient capital model, and two other models such as capital constrained model and the horizontal collaboration model. The impact of horizontal cooperation on the optimal decisions of manufacturers is analyzed to investigate whether a collaboration strategy exists that can mitigate these conflicts while improving the profits of all participants. We prove that the horizontal collaboration can benefit both manufacturers when manufacturer 1 is highly capital constrained and holds a large equity share in itself. However, collaborating with a competing manufacturer 2 does not always benefit the capital-constrained manufacturer 1 compared to a situation where both manufacturers have sufficient capital, but it can increase the profits of manufacturer 2 and the entire supply chain in certain conditions. There exists an optimal collaboration mechanism that can achieve a win–win situation, where manufacturer 2 transfers partial payments to the capital-constrained manufacturer 1. The transfer payment is influenced by the cost differences between the manufacturers and the shareholding ratio. These findings can provide valuable management insights to enable competitors to adopt the optimal collaboration method in the face of capital constraints.

Differential recycling strategies and government intervention in a closed-loop supply chain

Previous literature has discussed recycling strategy and government intervention in a closed-loop supply chain; however, differential recycling strategies considering the bounded rationality of decision-makers are unexplored. This study establishes evolutionary game models with a two-dimensional dynamical system to analyze the long-term recycling behavior of enterprises in a supply chain, which consists of manufacturers and retailers. The evolutionarily stable strategy (ESS) of enterprises is derived, and the government intervention is investigated. The enterprises choose from two recycling strategies: (1) ordinary recycling strategy, i.e., only recycling high-quality waste electrical and electronic equipment (WEEE); (2) differentiated recycling strategy, i.e., recycling high- and low-quality WEEE. The results show that when the recycling difficulty of enterprises is at different thresholds, the system will evolve into a different ESS. Moreover, the government's intervention is effective. If government subsidies and penalties meet a certain range, the enterprises without recycling qualifications will choose the ordinary recycling strategy, while the enterprises with recycling qualifications will choose the differentiated recycling strategy. Finally, when enterprises make decisions on price and recycling rate, the recycling difficulty and consumer environmental awareness will affect the decisions and profits of enterprises. However, only government intervention can effectively affect the ESS.

Research on Price Discovery Function of China Pig Futures Market

On January 8, 2021, China Pig futures was listed on Dalian Commodity Exchange. Its listing has brought new tools for the risk management of hog prices, and has aroused widespread concern in the community. Research on the price discovery function of pig futures market is of great significance to the price risk management of pigs. This paper takes the China pig futures and spot market as the research object, selects the live pig futures and spot trading data of China from January 8, 2021 to September 28, 2023, and makes a preliminary effectiveness analysis on the price discovery function of the futures market through the trend of spot prices. Secondly, the data are tested for stationarity and cointegration, and then the VAR model is established. Through descriptive statistics, Granger causality test, impulse response and variance decomposition analysis, the price discovery function of China pig futures market is further analyzed. The results show that China pig futures market has played a certain price discovery function, but there is still room for improvement. Based on this, the relevant countermeasures and suggestions are put forward: to improve the relevant rules and systems of pig futures, to strengthen the standardization construction of the over-the-counter market of pigs, and to promote the enthusiasm of enterprises in the pig industry chain to participate in the futures market.

Research on the Application of Financial Sharing Center Based on Value Chain Theory Take the Mengniu Company as an Example

The growing size of enterprise groups and the rapid development of information technology have given rise to financial shared services. They have brought about changes in the financial management model, improved the efficiency of accounting processes, and strengthened the control of molecular companies by reconstructing financial processes. However, there are some shortcomings in the current financial shared services, for example, the application of financial shared services is mainly focused on the operational level, concentrating on post-event processing, lagging behind the demand and facing difficulties. Therefore, this paper takes the financial shared service center of Mengniu Group as the research object and focuses on how to use new types of financial information technology to realize the digital transformation of the enterprise financial management process. The case is analyzed using relevant theories. The financial shared services model has improved the efficiency of modern enterprises' production and operations, expanded the analysis and decision support functions of finance, and facilitated the digital transformation of enterprise finance; at the same time, the value of data assets related to financial shared services has not been fully exploited, and the benefits of financial sharing are still limited to internal enterprises and have not been extended to other enterprises in the value chain. It is recommended that enterprises further improve their shared services and combine them with digital transformation based on data, process, and business specifications, and implement them more deeply in all dimensions of the value chain in the future to achieve value creation.

Research on Sustainable Cooperation Strategies for Cross-Regional Supply Chain Enterprises in Uncertain Environments

Considering the fuzziness of cooperation and the sustainability of the redevelopment of cross-regional supply chain enterprises, the fuzzy participation degree and the generalized redistribution coefficient are introduced to describe the problem of cooperation and benefit distribution of cross-regional supply chain enterprises. A fuzzy average monotone game is constructed to study the strategies of cross-regional supply chain enterprises to increase the average benefit with the expansion of the alliance scale; a generalized fuzzy reduced game is discussed to ensure the partner selection decision of supply chain enterprises; the concepts of generalized fuzzy core, generalized fuzzy bargaining set, and generalized fuzzy proportional distribution are proposed; the equivalence between the generalized fuzzy core and the generalized fuzzy bargaining set of the fuzzy average monotone game of the cross-regional supply chain enterprises is proved; the nonempty generalized fuzzy core solution of the fuzzy average monotone game is characterized; and the example analysis shows the stability of the cross-regional supply chain enterprise alliance and the existence of the optimal generalized redistribution scheme. The research results not only satisfy the willingness of cross-regional supply chain enterprises to participate in cooperation with some resources from the “environmental” pillar of supply chain enterprise management sustainability but also achieve the strategy of retaining partial benefits for the redevelopment of supply chain alliances from the “economic” pillar of supply chain enterprise management sustainability, which provides a theoretical basis for the cooperation and benefit redistribution of cross-regional supply chain enterprises under uncertain environments.

Evolutionary Game of Vertical Cooperation and Innovation between Civilian and Military Enterprises: A Civilian-Military Integration Supply Chain System with Chinese Characteristics

The establishment of a civil-military integration supply chain system is the cornerstone of China’s strategic development in military-civilian integration. It is essential to explore cooperative innovation and development between upstream civilian enterprises and downstream military enterprises within the supply chain to optimise resource allocation and promote the sustainable use of civil-military resources. This exploration is a prerequisite for accelerating the formation of the civil-military integration supply chain system and holds significant importance for realising the internal synergy between the civilian industry and the military industry. However, utilizing the evolutionary game model as a foundation, this study delves into the impact of absorption capacity, transformation and integration capability, network synergy, and change and innovation capacity on the vertical cooperation and innovation behaviour within the supply chain of civil-military integration enterprises. Firstly, civilian enterprises are more cost-sensitive concerning collaborative innovation investments compared to military enterprises. Excessive costs can discourage collaboration between civilian and military entities. Secondly, strong exploratory and absorptive capabilities, along with network synergies, can enhance the benefits of cooperation and innovation among these enterprises, but they also introduce the risk of opportunistic “free-rider” behaviour. Thirdly, the dynamics of the technology and product chains are influenced by an excess supply for civilian enterprises, while the opposite is true for military enterprises. Finally, a strong capacity for transformation and integration fosters cooperative and innovative behaviours among enterprises, with civilian enterprises exhibiting greater responsiveness. This study brings new research perspectives to the forefront, exploring vertical cooperation and innovative development within supply chain enterprises, particularly through the lens of supply and demand dynamics. Additionally, it offers practical recommendations aimed at helping the government expedite the establishment of integrated military-civilian supply chains and foster the synergistic development of the two key sectors: the military and civilian economies.

A Necessity-Based Optimization Approach for Closed-Loop Logistics Considering Carbon Emission Penalties and Rewards under Uncertainty

The recycling of waste products can bring enormous economic and environmental benefits to supply chain participants. Under the government’s reward and punishment system, the manufacturing industry is facing unfolded pressure to minimize carbon emissions. However, various factors related to the design of closed-loop logistics networks are uncertain in nature, including demand, facility capacity, transportation cost per unit of product per kilometer, landfill cost, unit carbon penalty cost, and carbon reward amount. As such, this study proposes a new fuzzy programming model for closed-loop supply chain network design which directly relies on fuzzy methods based on the necessity measure. The objective of the proposed optimization model is to minimize the total cost of the network and the sum of carbon rewards and penalties when selecting facility locations and transportation routes between network nodes. Based on the characteristics of the problem, a genetic algorithm based on variant priority encoding is proposed as a solution. This new solution encoding method can make up for the shortcomings of the four traditional encoding methods (i.e., Prüfer number-based encoding, spanning tree-based encoding, forest data structure-based encoding, and priority-based encoding) to speed up the computational time of the solution algorithm. Several alternative solution approaches were considered to evaluate the proposed algorithm including the precision optimization method (CPLEX) and priority-based encoding genetic algorithm. The results of numerous experiments indicated that even for large-scale numerical examples, the proposed algorithm can create optimal and high-quality solutions within acceptable computational time. The applicability of the model was demonstrated through a sensitivity analysis which was conducted by changing the parameters of the model and providing some important management insights. When external parameters change, the solution of the model maintains a certain level of satisfaction conservatism. At the same time, the changes in the penalty cost and reward amount per unit of carbon emissions have a significant impact on the carbon penalty revenue and total cost. The results of this study are expected to provide scientific support to relevant supply chain enterprises and stakeholders.

Green Supplier Assessment and Selection for Sea Cucumber (Apostichopus japonicus) Processing Enterprise: Case Study in China

Green supply chain management is a crucial way to balance economic benefits and environmental impacts. As an important economic aquatic product in China, sea cucumber (Apostichopus japonicus) is facing the dual challenges of economic benefits (profit) and environmental sustainability (material input and emission output). Currently, the sea cucumber industry in China lacks a green supplier screening system, resulting in a fragmented pattern of cooperation among enterprises. Core enterprises in the supply chain cannot assume social responsibility to help and guide upstream and downstream enterprises to jointly improve environmental performance. This study focuses on the selection and evaluation of green suppliers for sea cucumber processing enterprises. Firstly, a green supplier assessment indicator system for sea cucumber processing enterprises was established, and the indicator weights were determined by the analytic hierarchy process (AHP) method. Next taking a large sea cucumber processing enterprise in Dalian, China, as an example, the importance level of each index was evaluated by fuzzy comprehensive evaluation (FCE), and the score and ranking of existing suppliers were determined. The validity and practicality of the method were verified. The results show that Supplier 1 (S1) has the highest score, and the price of sea cucumber farming, the cleaner production level of sea cucumber farming, environmental awareness, and long-term cooperation willingness were the most important factors in the selection of green suppliers for sea cucumber processing enterprises, which provides useful clues on the best practice of making sustainable development decisions. With an in-depth understanding of the key factors, suppliers can formulate different prices according to the differences in sales channels to improve the economic deficiencies. Environmental pollution can also be reduced by using clean energy, establishing a recirculating aquaculture system, and using micro-ecological preparations. The conclusions of this study can provide technical support and decision-making suggestions for the application of green supply chain management in China’s aquaculture industry.

Research on U-shaped relationship between short-term debt for long-term use and supply chain enterprise default risk: Evidence from Chinese listed firms.

This paper empirically investigates the impact mechanism of short-term debt for long-term use and the default risk of supply chain firms with the data of Chinese A-share listed firms from 2007 to 2021. The study shows that there is a significant U-curve relationship between short-term debt for long-term use and supply chain firms' default risk, and too high or too low a level of short-term loans and long-term investments will worsen firms' default risk. In addition, firm performance plays an mediating effect in the process of short-term debt for long-term investment affecting the default risk of supply chain firms. Finally, customer effect and firm heterogeneity play a moderating role in the impact of short-term loans and long-term investments on the default risk of supply chain firms, and the U-shaped relationship will be strengthened under the high-intensity customer effect. This study has important theoretical and practical significance for analyzing the impact of default risk contagion in supply chain enterprises.

Integrated lean-green practices and supply chain sustainability framework

Integration of lean-green practices has benefited companies in many ways, particularly the large ones. Small and Medium Enterprises (SMEs), as key players within supply chains, should also be encouraged to apply the lean and green practices to support the large enterprises in the supply chain. However, it remains all time challenging for SMEs that operate with limited resources, and often emphasize on short-term goals with rapid turnaround. The impact of green-lean practices on sustainability performance has been investigated earlier, however further study is needed to understand the phenomena in context of SME supply chain. This study examined the moderating effects of top management commitment and leadership (TMCL) and organizational culture transformation (OCTr) on the relationship between Lean Practice (LP) and Green Practice (GP). Further, it investigated the moderating effect of both policy initiative (PI) and collaborative synergy (CS) on the relationship between GP and sustainability performance. The survey-based study analyzed the data from 345 Indonesian manufacturing SMEs using structural equation modeling (SEM) with Smart-PLS. The findings suggest that GP mediates LP to improve sustainability performance of SMEs. TMCL facilitates significantly the adoption of integrated lean and green practices. Meanwhile, OCTr, PI, and CS did not have a significant moderating effect. It means that OCTr does not significantly moderate lean practices for the adoption of green practice. Similarly, results demonstrate that neither PI nor CS moderate the correlation between green practice and sustainability performance of supply chain in manufacturing SMEs. The findings help SME owners or managers to build a comprehensive model of a lean-green system to direct SMEs to achieve sustainable development.

Carbon reduction decision-making in supply chain under the pledge financing of carbon emission rights

Supply chain enterprises can solve the cost problem caused by emission reduction through the pledge financing of carbon emission rights. This paper aims to optimize the pricing and ordering strategy and carbon reduction decision of the supply chain based on the pledge financing of carbon emission rights, establishes the expected revenue model of the manufacturer and the retailer, and analyzes the mechanism of the carbon reduction decision of the supply chain on its pricing and ordering strategy, expected revenue and revenue distribution strategy. The results illustrate that the optimal order quantity and the optimal wholesale price maximize the expected revenue of the retailer and the manufacturer, regardless of whether the pledge financing of carbon emission rights is introduced. With the adoption of the pledge financing of carbon emission rights, there is an optimal amount of carbon emission reduction per unit of the product to maximize the optimal order quantity. When both order quantity and wholesale price are optimal, the present value of expected revenue for the retailer and the manufacturer increases with the amount of carbon reduction per unit of product. The upper and lower limits of the retailer's share of sales revenue rise and fall as the amount of carbon reduction per unit of product increases, respectively.

A hybrid forecasting model with logistic regression and neural networks for improving key performance indicators in supply chains

This study investigates the potential of predictive analytics in improving Key Performance Indicators (KPIs) forecasting by leveraging Lean implementation data in supply chain enterprises. A novel methodology is proposed, incorporating two key enhancements: using Lean maturity assessments as a new data source and developing a hybrid forecasting model combining Logistic regression and Neural Network techniques. The proposed methodology is evaluated through a comprehensive empirical study involving 30 teams in a large supply chain company, revealing notable improvements in forecasting accuracy. Compared to a baseline scenario without process improvement data, the new methodology achieves an enhanced accuracy score by 17% and an improved F1 score by 13 %. These findings highlight the benefits of integrating Lean maturity assessments and adopting a hybrid forecasting model, contributing to the advancement of supply chain analytics. By incorporating lean maturity assessments, the forecasting process is enhanced, providing a deeper comprehension of the underlying Lean framework and the impact of its elements on supply chain performance. Additionally, adopting a hybrid model aligns with current best practices in forecasting, allowing for the utilisation of various techniques to optimise KPI prediction accuracy while leveraging their respective strengths.

Application of Financial Big Data Analysis Method Based on Collaborative Filtering Algorithm in Supply Chain Enterprises

At present, the financial situation of China’s supply chain finance is still relatively unstable, and there are still some problems between supply chain enterprises and banks such as asymmetric information, insufficient model innovation and high operational risks. Based on this, this paper proposes and constructs a risk control model of financial big data analysis based on collaborative filtering algorithm. The purpose of this study is to realize the resource integration of supply chain enterprises and optimize the logistics chain, financial chain and information chain through the analysis of financial big data based on collaborative filtering algorithm, provide quality services for supply chain enterprises and good support for solving the financing problems of small and medium-sized enterprises. In order to verify the feasibility of the model, an experimental analysis is carried out. The experimental results show that this model has good scalability and operability, and the algorithm itself also has good scalability. The results of empirical analysis further verify that the design method in this paper has a good recommendation effect in terms of matching degree and user satisfaction. Compared with other risk control models, it is more practical and feasible. This research has certain practical significance for the financial management of supply chain enterprises.

Sustainability-based enterprise supply chain optimization and response under circular economy approach: agile, adaptive and coordinated

PurposeFrom a supply chain perspective, logistics firms collaborate with other supply chain members to extend their business scope. Investment in circular economy projects in the supply chain can not only broaden the scope of business but also increase the value of the entire supply chain. Third-party logistics companies are gradually participating in the construction and operation of many circular economy projects. How to coordinate multiple circular economy supply chain projects is at the core of its operation.Design/methodology/approachThis paper first analyzes some typical supply chain projects in China and summarizes the main features of these projects. Secondly, considering the benefits of the project and the stakes of each project, a multi-stage stochastic programming model is established. Finally, Cplex, nested decomposition, LocalSolver and other methods are adopted to simulate and analyze the model.FindingsThe final experimental results find that the importance of coordinating multiple circular economy supply chain projects to increase the value of the entire supply chain. The multi-stage stochastic programming model presented in this research can provide a useful tool for logistics enterprises and third-party logistics companies to optimize their investment decisions and maximize their profits in the context of a circular economy.Research limitations/implicationsThere are still some limitations to this study; for example, it is limited to the analysis of circular economy supply chain projects in China. The study focused on third-party logistics companies, and other enterprises in the circular economy supply chain were not considered. The research also assumed that the benefits of each circular economy project and the stakes of each project were known, which may not always be the case in real-world scenarios.Originality/valueThis manuscript found that investing in other circular economy projects in the supply chain can broaden the scope of business and increase the value of the entire supply chain. Third-party logistics companies are gradually participating in the construction and operation of many circular economy projects, such as recycling and repurposing initiatives. It highlights the importance of coordinating multiple circular economy supply chain projects to increase the value of the entire supply chain. The multi-stage stochastic programming model presented in this research can provide a useful tool for logistics enterprises and third-party logistics companies to optimize their investment decisions and maximize their profits in the context of a circular economy.

Supply Chain Green Manufacturing and Green Marketing Strategies under Network Externality

This paper discusses the impact of network externalities on the green strategies of enterprises at each node of the supply chain. The existing related research mainly addresses the influence of factors such as government regulation, consumer behavior characteristics, and node enterprise behavior on green supply chain decision making. While these studies provide excellent ideas, the impact of network externalities on both green manufacturing and green marketing strategies is often disregarded. This paper uses evolutionary game theory to construct a utility function based on network externalities and consumer green preferences. The Stackelberg game is used to analyze the revenue function of supply chain members under different strategies, showing that under different strategies, network externalities and consumer green preferences have different effects on revenue in the supply chain. To understand the influence of network externalities on green supply chain strategy choices, the evolutionary game model is used. This model allows analyzing the evolutionary stable strategies of manufacturers’ green manufacturing and retailers’ green marketing. The mechanism underlying the influence of network externalities and consumer green preferences on green supply chain decision making is demonstrated. This helps to explain the green strategy decisions of upstream and downstream enterprises in the supply chain.

Operational decisions of live-streaming platform supply chain based on control power: considering the dual preferences of consumers

As the problem of live streaming with goods ‘overturned’ has also emerged, it is crucial for supply chain members to make optimal decisions to maintain long-term cooperation relationship. Based on this background, we construct a new supply chain structure composed of a fresh food supplier, an online celebrity live-streaming base (OCLB) and a platform channel, and establish three game-theoretic models: the centralised decision model (CDM), two decentralised decision models (DDMs) led by fresh food supplier (P-S-L model) and OCLB (P-L-S model) to further explore the optimal decisions. The results show that, when consumers have higher dual preferences of freshness and live-streaming recommendation level, in the P-S-L model, it is in the best interest of the supply chain as a whole to pursue ‘neutral’ control power and choose a ‘moderate pricing and decent quality’ strategy, but in the P-L-S model, the OCLB as the dominant party can pursue higher control power, increase the selling price, or relax its preservation technology upgrading program, which may compensate for the loss of high preservation costs. This study follows the popular topic of live-streaming with goods, opens up new ideas to improve the high profitability of supply chain enterprises.

Green transformation strategy of pallet logistics in China based on the life cycle analysis

The Anthropocene is a new geologic epoch defined by the significant impact of human activity on the planet. Industrialisation and population growth have altered the natural environment. The logistics industry, which facilitates economic development and enhances human well-being, relies on logistic carriers as essential equipment. Pallets, the most representative tools of logistic carriers, transport more than 80 % of the world's trade. The conventional pallet market structure is largely determined by economic and convenience factors, but in light of the global environmental changes, the leading users of pallet products have raised their environmental standards, making environmental performance a key factor in the pallet industry. While China is the second largest pallet holder and accounts for 25 % of the global pallet holdings, it lacks an in-depth understanding on the pallet market structure, the environmental effects, and the barriers for developing pallet sharing system in China. This study conducts comprehensive field studies to reveal the pallet market structure in China, applies life cycle assessment to present a cradle to grave environmental evaluation of the five widely-used pallet material types that account for 99 % of market share, and compare various end-of-life treatment methods using scenario analysis. Results show that the current market structure does not align with the optimal environmental outcomes, but would be improved by establishing the circulation-sharing system. Therefore, there is an urgent need for the pallet industry to undergo a green transition. The focus for developing a sharing system should be on engaging the leading user enterprises in the supply chain, rather than merely relying on the pallet manufacturers who have limited bargaining power. Additionally, the environmental impacts can be reduced by 20 % to 300 % via choosing the appropriate end-of-life treatment method for each pallet material type.

Evolutionary Game of Value Synergy in Industrial Chain: In the Context of “Chain Chief System”

The “chain chief system” is an institutional innovation that can enhance the responsibility of the industrial chain. Currently, various provinces and cities in China are adopting it to reap the benefits of resource combination. Traditional industrial synergy emphasizes “scale orientation,” and research on industrial policy, involving government administrative power, needs to be thoroughly discussed from the perspectives of government behavior and industry characteristics. This study utilizes the evolutionary game method to analyze the behavioral strategies of the government, leading enterprises, and other enterprises in the industrial chain under different conditions based on the perspective of value synergy. Relevant parameters of revenue and cost are modified for numerical simulation. The results demonstrate that the evolutionary stability strategy is influenced by various factors such as the government’s due diligence, subsidies, proportions allocated to different enterprises, benefits and costs, and industrial characteristics. Furthermore, the government can appropriately increase subsidies to leading enterprises and penalties for inaction, reduce barriers to data and scene sharing among enterprises in the industry, and lower industry concentration. These measures are more conducive to establish a “chain chief system” value synergy ecology in which all members actively participate.

Low-Carbon Transformation Strategy for Blockchain-Based Power Supply Chain

Carbon abatement in the power sector is essential to achieving the “double carbon” goal, and blockchain technology, one of the most promising emerging technologies, will assist the power sector in efficiently achieving this goal. In terms of the effectiveness of carbon abatement, comparative studies on coordination mechanisms are absent in the existing literature. On this basis, aiming at the cooperative abatement strategy between power generation generators and sellers under the carbon tax policy, this paper has developed four decision models: the Stackelberg game led by power generation enterprises, the simultaneous Nash bargaining decision by both parties, the vertical integration decision by supply chain enterprises, and the cooperative carbon emission reduction game by supply chain enterprises, to analyze the changes in electricity price, sustainability level, power sales, and profits of supply chain members. The results of the numerical analysis show that user preference for blockchain technology and an increase in the proportion of low-carbon electricity information uploaded to the blockchain can significantly improve the sustainability level of the electricity supply chain. The level of investment in green technologies by electricity producers under cooperative abatement decision-making increases compared to the electricity producer-dominated Stackelberg game model. The sustainability level of the electricity supply chain is higher under the Nash simultaneous decision than under the abatement cost-sharing decision, but the decision-maker’s profit is lower. The values of overall profit and sustainability level of the electricity supply chain are both highest under the vertically integrated decision.