Blockchain-Enabled Transparency in Low-Carbon Supply Chains: A Dynamic Stackelberg Differential Game Approach

This paper develops a dynamic Stackelberg differential game model, inspired by the classical Sethi advertising<br/>model, to address coordination and transparency challenges in low-carbon supply chains (LCSC). Recognizing the strategic importance of blockchain-enabled transparency, we integrate blockchain investment decisions into a stochastic differential game model to examine how transparency reduces information asymmetry<br/>and greenwashing while enhancing sustainable competitiveness. We formulate a hierarchical supply chain<br/>comprising a low-carbon firm (LCF) as the leader and a high-carbon firm (HCF) as the follower, with pricing, advertising, and blockchain investment decisions evolving under uncertainty. The model extends Sethi’s<br/>seminal contributions by incorporating blockchain-enabled transparency as a dynamic state variable that<br/>influences both demand and equilibrium coordination. The equilibrium results show that blockchain-enabled<br/>transparency increases the LCF’s long-term market share by approximately 15–20%, improves profitability<br/>by up to 25%, and reduces advertising costs by 30% compared to non-blockchain scenarios. Numerical simulations confirm that the benefits of blockchain are most pronounced when transparency and communication<br/>are jointly optimized. The findings provide theoretical and managerial insights into how blockchain-enabled<br/>transparency can help firms achieve both competitiveness and sustainability in low-carbon supply chains.<br/>

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Journal
Bristol Research (University of Bristol)
Published
2026-01-08
Primary Topic
Supply Chain and Inventory Management
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article

Blockchain-Enabled Transparency in Low-Carbon Supply Chains: A Dynamic Stackelberg Differential Game Approach

Karim Zkik, Sachin Kamble, Amine Balhadi, Sunil Tiwari et al.
Bristol Research (University of Bristol)
Supply Chain and Inventory Management
article

Blockchain-Enabled Transparency in Low-Carbon Supply Chains: A Dynamic Stackelberg Differential Game Approach

Karim Zkik, Sachin Kamble, Amine Balhadi, Sunil Tiwari, Imad El Harraki
article en

Abstract

This paper develops a dynamic Stackelberg differential game model, inspired by the classical Sethi advertising<br/>model, to address coordination and transparency challenges in low-carbon supply chains (LCSC). Recognizing the strategic importance of blockchain-enabled transparency, we integrate blockchain investment decisions into a stochastic differential game model to examine how transparency reduces information asymmetry<br/>and greenwashing while enhancing sustainable competitiveness. We formulate a hierarchical supply chain<br/>comprising a low-carbon firm (LCF) as the leader and a high-carbon firm (HCF) as the follower, with pricing, advertising, and blockchain investment decisions evolving under uncertainty. The model extends Sethi’s<br/>seminal contributions by incorporating blockchain-enabled transparency as a dynamic state variable that<br/>influences both demand and equilibrium coordination. The equilibrium results show that blockchain-enabled<br/>transparency increases the LCF’s long-term market share by approximately 15–20%, improves profitability<br/>by up to 25%, and reduces advertising costs by 30% compared to non-blockchain scenarios. Numerical simulations confirm that the benefits of blockchain are most pronounced when transparency and communication<br/>are jointly optimized. The findings provide theoretical and managerial insights into how blockchain-enabled<br/>transparency can help firms achieve both competitiveness and sustainability in low-carbon supply chains.<br/>

Bristol Research (University of Bristol)
Responsible consumption and production
Openalex Percentile: Top 49%
Supply Chain and Inventory Management
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Blockchain-Enabled Transparency in Low-Carbon Supply Chains: A Dynamic Stackelberg Differential Game Approach — Karim Zkik, Sachin Kamble, et al. · Bristol Research (University of Bristol) (2026) | TGRS Research Map | TGRS