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Authors = Liurui Deng

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41 pages, 6417 KiB  
Article
Optimal Financing Strategy in a Dual-Channel Supply Chain with Agricultural Product
by Liurui Deng and Xiwei Yu
Mathematics 2024, 12(18), 2835; https://doi.org/10.3390/math12182835 - 12 Sep 2024
Cited by 1 | Viewed by 1197
Abstract
This study models a two-stage agricultural supply chain consisting of a financially constrained manufacturer of agricultural products and a financially stable retailer. We examine two supply chain structures: traditional and dual channel. Our analysis centers on the effects of consumer green preferences, consumer [...] Read more.
This study models a two-stage agricultural supply chain consisting of a financially constrained manufacturer of agricultural products and a financially stable retailer. We examine two supply chain structures: traditional and dual channel. Our analysis centers on the effects of consumer green preferences, consumer sensitivity to the freshness of agricultural products, and substitution rate between green and non-green agricultural products on the profitability of supply chain members. The purpose of this work is to study the optimal financing strategy for companies producing both regular and organic products simultaneously. We analyze optimal financing strategies for the manufacturer using three models: bank financing, internal debt financing, and internal equity financing. Our results indicate that in both traditional and dual-channel supply chains, increased consumer green preferences or greater sensitivity to the freshness of agricultural products improve supply chain profitability, while a higher substitution rate between green and non-green products reduces profits. Additionally, the manufacturer prefers internal debt financing when consumer environmental awareness is low. Conversely, as consumer environmental awareness increases, internal equity financing becomes more profitable. These findings offer valuable insights for agricultural product manufacturers facing financial constraints, assisting them in selecting the most appropriate financing model. Full article
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27 pages, 2263 KiB  
Article
Analysis of Decision-Making in a Green Supply Chain under Different Carbon Tax Policies
by Liurui Deng, Jie Tan and Jiawu Dai
Mathematics 2023, 11(22), 4631; https://doi.org/10.3390/math11224631 - 13 Nov 2023
Cited by 5 | Viewed by 1626
Abstract
With the growing severity of global environmental issues, the international community has reached a consensus on the importance of reducing and controlling carbon emissions. As a result, an increasing number of consumers are opting to purchase green products in order to reduce the [...] Read more.
With the growing severity of global environmental issues, the international community has reached a consensus on the importance of reducing and controlling carbon emissions. As a result, an increasing number of consumers are opting to purchase green products in order to reduce the emission of greenhouse gases. This trend has prompted supply-chain enterprises to invest in green innovation. Simultaneously, carbon tax policies have gained significant attention from governments worldwide due to their dual role as environmental laws and fiscal-policy tools. Considering consumers’ preference for green products and the risk of R&D failure associated with them, this study focuses on the effects on emissions reductions and profits associated with different carbon tax policies for a green supply chain consisting of a manufacturer and a retailer. The results reveal that (1) increases in the carbon tax per unit of product motivate the manufacturer to increase R&D efforts; (2) wholesale and retail prices follow a pattern of initial increase and subsequent decrease as the carbon tax per unit of product rises; (3) higher carbon taxes per unit of product generally lead to lower manufacturer profits, while both carbon emissions and retailer profits can increase with a per-unit carbon tax under certain circumstances; and (4) the increase in the proportion of the population with green preferences can yield long-term benefits for both the retailer and the manufacturer, yielding an inverted U-shaped relationship with carbon emissions. Full article
(This article belongs to the Special Issue Modeling, Simulation and Optimization of Supply Chains)
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22 pages, 4230 KiB  
Article
Incorporating ‘Mortgage-Loan’ Contracts into an Agricultural Supply Chain Model under Stochastic Output
by Liurui Deng, Shuge Wang, Yixuan Wen and Yuting Li
Mathematics 2022, 10(1), 85; https://doi.org/10.3390/math10010085 - 27 Dec 2021
Cited by 9 | Viewed by 3220
Abstract
This paper constructs an internal financing model in which the purchaser acts as the core leading enterprise to provide loans when the farmer has fixed assets as collateral. Numerical results show that the existence of fixed assets will increase the expected profit of [...] Read more.
This paper constructs an internal financing model in which the purchaser acts as the core leading enterprise to provide loans when the farmer has fixed assets as collateral. Numerical results show that the existence of fixed assets will increase the expected profit of the farmer, redistributing the risk and profit between the purchaser and the farmer. At the same time, the purchaser and the government are encouraged to provide more funds to the farmer with low value of its fixed assets, which will aid the overall return of the supply chain and the development of supply chain finance. In addition, under the framework of this model, the increase of agricultural production is beneficial to the farmer, not the purchaser. In the case of the same output level, we can alleviate this problem by selecting high-end agricultural products with high price elasticity of demand and high choking price so as to improve the profits of both purchaser and farmer. Full article
(This article belongs to the Special Issue Supply Chain Management and Mathematical Logistics)
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21 pages, 2727 KiB  
Article
Optimal Loan Pricing for Agricultural Supply Chains from a Green Credit Perspective
by Liurui Deng, Wentang Xu and Juan Luo
Sustainability 2021, 13(22), 12365; https://doi.org/10.3390/su132212365 - 10 Nov 2021
Cited by 12 | Viewed by 4162
Abstract
In recent years, many countries have proposed various sustainable development strategies around environmental issues. The implementation of green supply chain management is an effective sustainable development approach that combines “environmental awareness” and “economic development.” Therefore, introducing the concept of “green” effectively is the [...] Read more.
In recent years, many countries have proposed various sustainable development strategies around environmental issues. The implementation of green supply chain management is an effective sustainable development approach that combines “environmental awareness” and “economic development.” Therefore, introducing the concept of “green” effectively is the main direction for the sustainable development of agriculture in the future. The impacts of green credit policies on agricultural supply chains have rarely been discussed before. Therefore, we focus on the incentive mechanism of green credit policies in the agricultural supply chain. We use the Stackelberg Leadership Model to construct a pricing model which adds the interest subsidy and required reserve ratio (RRR) cuts, and determines the pricing rules of bank loans and production decisions of the farmer in the agricultural supply chain under the incentive policy of green credit by quantifying the optimization problems of the bank and the farmer. The result shows that optimal decisions exist for both farmer and bank in the supply chain game framework. The implementation of the green credit policies contributes to both of their profits. Additionally, the green credit policies give the bank room to reduce interest rates so that the overall utility level of the supply chain could be improved. Full article
(This article belongs to the Special Issue Green and Sustainable Supply Chains)
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20 pages, 2667 KiB  
Article
Impact of Green Credit Financing and Carbon Emission Limits on the Supply Chain Based on POF
by Liurui Deng, Lan Yang and Wei Li
Sustainability 2021, 13(11), 5814; https://doi.org/10.3390/su13115814 - 21 May 2021
Cited by 12 | Viewed by 3507
Abstract
In recent years, environmental protection has been paid more and more attention. Green credit policy (GCP) is one of the significant preferential policies for government to encourage enterprises to vigorously develop green projects. We are interested in the impact of the central bank’s [...] Read more.
In recent years, environmental protection has been paid more and more attention. Green credit policy (GCP) is one of the significant preferential policies for government to encourage enterprises to vigorously develop green projects. We are interested in the impact of the central bank’s GCP on the profits and optimal strategies of manufacturers and suppliers related to POF (purchase order financing). Specifically, we build a game-theoretical model consisting of a manufacturer, a bank and a green supplier and a non-green supplier. Furthermore, the optimal strategies of the manufacturer and suppliers when the bank or the government sets a carbon emission cap on suppliers are discussed. We come to some important conclusions about a GCP that promotes the development of green projects since it brings higher profits to both the manufacturer and suppliers than the lack of a GCP. Furthermore, the higher the production cost, the better the effect of a GCP. Under the carbon emission restrictions required by the government, the effect of GCP is weakened and the profits of the manufacturer and the suppliers are reduced to zero due to the gradually increasing delivery risks as production costs increase. Full article
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27 pages, 1336 KiB  
Article
Impact of Fintech on Bank Risk-Taking: Evidence from China
by Liurui Deng, Yongbin Lv, Ye Liu and Yiwen Zhao
Risks 2021, 9(5), 99; https://doi.org/10.3390/risks9050099 - 18 May 2021
Cited by 62 | Viewed by 17271
Abstract
This article focuses on the relationship between Fintech and bank risk-taking behavior. Since Robo-Advisor is one of the mature applications of Fintech, we found that the development of Fintech will have a greater impact on small and medium-sized banks through the establishment of [...] Read more.
This article focuses on the relationship between Fintech and bank risk-taking behavior. Since Robo-Advisor is one of the mature applications of Fintech, we found that the development of Fintech will have a greater impact on small and medium-sized banks through the establishment of a Robo-Advisor model. This paper uses a benchmark regression model to analyze the municipal digital financial inclusion index compiled by Peking University and the annual report data of 155 small and medium-sized banks from 2011 to 2016. We found that the development of Fintech has significantly reduced bank risk-taking level. This result is still valid after the robustness test of replacing the bank’s risk-taking index and replacing the Fintech development index. We used the urban innovation index as an instrumental variable to deal with the endogenous problem, and obtained consistent estimation results. The test of the intermediary effect shows that the development of Fintech will affect the bank risk-taking through channels such as the bank’s internal interest margin, management capabilities, the bank’s external competition intensity, and residents’ saving willingness. Heterogeneity analysis shows the reduction effect of Fintech on bank risk-taking is more pronounced in banks in eastern and western regions in China, the large banks and the urban commercial banks. Full article
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15 pages, 1303 KiB  
Article
Multi-Period Investment Strategies under Cumulative Prospect Theory
by Liurui Deng and Traian A. Pirvu
J. Risk Financial Manag. 2019, 12(2), 83; https://doi.org/10.3390/jrfm12020083 - 11 May 2019
Cited by 5 | Viewed by 4305
Abstract
In this article, inspired by Shi et al., we investigate the optimal portfolio selection with one risk-free asset and one risky asset in a multiple period setting under the cumulative prospect theory (CPT) risk criterion. Compared with their study, our novelty is that [...] Read more.
In this article, inspired by Shi et al., we investigate the optimal portfolio selection with one risk-free asset and one risky asset in a multiple period setting under the cumulative prospect theory (CPT) risk criterion. Compared with their study, our novelty is that we consider a stochastic benchmark and portfolio constraints. By performing a numerical analysis, we test the sensitivity of the optimal CPT investment strategies to different model parameters. Full article
(This article belongs to the Section Mathematics and Finance)
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