Blockchain-enabled supply chain finance and operational performance of blockchain enterprise: an empirical study from China

Based on the empirical study using convex nonparametric least squares (CNLS) with a within estimator for panel data analysis, this research examines the impact of supply chain finance (SCF) on blockchain enterprise operational performance. The methodology mitigates over-parameterization by assigning unique shadow prices to each firm, enhancing interpretability. Results reveal significant industry heterogeneity: SCF substantially improves operational performance in the application software and information technology consulting sectors, where financing constraints are acute. This positive effect is primarily driven by the use of notes payable rather than short-term loans, reflecting the varying accessibility and suitability of different SCF instruments. Conversely, internet software and electronic equipment firms exhibit negligible responsiveness, attributed to alternative financing access (e.g. equity, policy-backed loans) or misaligned SCF instrument terms. The study underscores the context-dependent efficacy of blockchain enterprises SCF, advocating tailored implementation to alleviate SME financing bottlenecks and optimize supply chain resilience. Policy and managerial emphasis should prioritize user-centric blockchain solutions to amplify operational gains.

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Publication Details

Journal
Applied Economics
Published
2026-09-10
DOI
https://doi.org/10.1080/00036846.2026.2731162
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Blockchain-enabled supply chain finance and operational performance of blockchain enterprise: an empirical study from China

Jiajia Zhao, Malin Song, Jianbai Gu, Xueli Chen
Applied Economics
Blockchain Technology Applications and Security
article

Blockchain-enabled supply chain finance and operational performance of blockchain enterprise: an empirical study from China

Jiajia Zhao, Malin Song, Jianbai Gu, Xueli Chen
article en

Abstract

Based on the empirical study using convex nonparametric least squares (CNLS) with a within estimator for panel data analysis, this research examines the impact of supply chain finance (SCF) on blockchain enterprise operational performance. The methodology mitigates over-parameterization by assigning unique shadow prices to each firm, enhancing interpretability. Results reveal significant industry heterogeneity: SCF substantially improves operational performance in the application software and information technology consulting sectors, where financing constraints are acute. This positive effect is primarily driven by the use of notes payable rather than short-term loans, reflecting the varying accessibility and suitability of different SCF instruments. Conversely, internet software and electronic equipment firms exhibit negligible responsiveness, attributed to alternative financing access (e.g. equity, policy-backed loans) or misaligned SCF instrument terms. The study underscores the context-dependent efficacy of blockchain enterprises SCF, advocating tailored implementation to alleviate SME financing bottlenecks and optimize supply chain resilience. Policy and managerial emphasis should prioritize user-centric blockchain solutions to amplify operational gains.

Applied Economics
NEOMA Business School (FR), Dongbei University of Finance and Economics (CN), Anhui University of Finance and Economics (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 4%
Blockchain Technology Applications and Security
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