Against the backdrop of profound global trade restructuring and rapid digital advancement, Customs regulatory systems are transforming from traditional models to intelligent, ecosystem-based frameworks. This study investigates how smart Customs ecosystem construction drives enterprises' new quality productivity. Utilizing cross-sectional data from China's 31 provincial regions, the research constructs core indicators including AEO enterprise penetration rate and employs univariate linear regression to empirically examine multidimensional impacts across technological innovation, resource utilization, environmental management, digitalization, and economic structure. Results demonstrate that smart Customs construction significantly enhances trade digitalization index (coefficient: 0.8616, p<0.01) and shows notable effects on energy consumption intensity, industrial SO₂ emissions, and specific digital infrastructure domains. However, its influence on high-tech industries and most economic structure variables remains limited. The study identifies four core mechanisms: data connectivity, intelligent prediction, ecological collaboration, and rule optimization. These mechanisms effectively elevate enterprises' new quality productivity by reducing institutional transaction costs, accelerating cross-border innovation flows, stimulating innovation vitality, and creating new growth points. The research proposes policy recommendations including strengthening top-level design, deepening data engineering, optimizing precise services, and improving support systems. These measures aim to overcome practical challenges through institutional innovation and technology integration, providing theoretical foundations and actionable pathways for smart Customs to empower enterprise development, offering valuable insights for achieving the "smart Customs for a strong nation" strategic vision.
| Published in | International Journal of Economics, Finance and Management Sciences (Volume 14, Issue 1) |
| DOI | 10.11648/j.ijefm.20261401.19 |
| Page(s) | 109-118 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2026. Published by Science Publishing Group |
Smart Customs Construction, Enterprises' New Quality Productivity, Ecological Collaboration, Data Connectivity, Institutional Innovation
| [1] |
Hefei Customs. (2024). 10 Key Words to Help You Understand Smart Customs Construction [EB/OL]. (2024-03-18) [2026-01-15].
http://gdfs.customs.gov.cn/hefei_customs/479573/479574/5754484/index.html |
| [2] | Dong, Q., Tan, W. J., Zheng, J. Y., et al. (2025). Integration of Digital and Real Industry Technology and Enterprise New Quality Productivity: New Evidence Based on Machine Learning and Text Analysis. Journal of Shanghai University of Finance and Economics, 27(3), 18-33. |
| [3] | Huang, S. J., Wu, Z. G., Li, X., et al. (2025). Exploration and Research on the Application of Large Model Technology in Smart Customs Construction. China Port Science and Technology, 7(5), 4-7. |
| [4] | Xiao, Y., Le, H., Jiang, Y. D., et al. (2023). Application Exploration of Digital Twin in Smart Customs Logistics Supervision. China Port Science and Technology, 5(10), 71-78. |
| [5] | Customs Technology Application Research Project Group, Zhang, J. Q., Wang, Y. L., et al. (2024). Application of Artificial Intelligence in US Customs and Its Enlightenment to China's Smart Customs Construction. China Customs, (9), 89-91. |
| [6] | Zhang, Y. J., Meng, L., Sun, X. X. (2023). International Experience Reference and Enlightenment of Smart Customs Construction. China Customs, (10), 88-89. |
| [7] | Meng, L. (2024). Research on Effective Connection between Smart Customs Construction and International Customs Governance Rules. Customs and Economic & Trade Research, 45(5), 46-55. |
| [8] | Haiyan AEO Project Group, Liu, C. B., Ji, Y. (2024). Smart Customs Helps Implement AEO System: Hotspot Analysis of the 6th Global AEO Conference of the World Customs Organization (Part 2). China Customs, (7), 82-83. |
| [9] | Guo, C. X., Chen, X. Y., Peng, L. (2024). Research on New Quality Productivity Boosting Modern Industrial System Construction. Journal of Xi'an Jiaotong University (Social Sciences Edition), 1-15 [2024-04-03]. |
| [10] | China Academy of Information and Communications Technology. (2024). China Academy of Information and Communications Technology Releases "China Digital Economy Development Research Report (2024)" [EB/OL]. (2024-08-28) [2026-01-15]. |
| [11] | Yuan, R. X., Wang, C. Q., Masron, T. A., et al. (2024). Digital Economy Empowerment on Carbon Emission Reduction: An Analysis of Spatial Spillover Effects Based on Temporal Heterogeneity. Applied Economics, 1-15. |
| [12] | Hong, Y. X., Ren, B. P. (2023). Connotation and Approach of Deep Integration of Digital Economy and Real Economy. China Industrial Economy, (2), 5-16. |
| [13] | Huang, X. H., Gao, Y. X. (2023). Integration of Digital and Real Industry Technology and Enterprise Total Factor Productivity: Research Based on Chinese Enterprise Patent Information. China Industrial Economy, (11), 118-136. |
| [14] | Yuan, C., Xiao, T. S., Geng, C. X., et al. (2021). Digital Transformation and Enterprise Division of Labor: Specialization or Vertical Integration. China Industrial Economy, (9), 137-155. |
| [15] | Liu, H. L., Li, K. (2024). Enterprise New Quality Productivity: Literature Review. Commercial Economy, (11), 156-160. |
| [16] | Song, J., Zhang, J. C., Pan, Y. (2024). Research on the Impact of ESG Development on Enterprise New Quality Productivity: Empirical Evidence from China's A-share Listed Enterprises. Contemporary Economic Management, 46(6), 1-11. |
| [17] | Cui, H. K. (2024). Mechanism Analysis of ESG Investment Empowering High-Quality Development of Private Enterprises. Technology Economics and Management Research, (5), 147-152. |
| [18] | Liu, X. H., Chen, Y. (2024). ESG Performance and Enterprise Innovation: Based on the Moderating Effect of Green Financial Reform. Statistics and Decision, 40(7), 183-188. |
| [19] | Sheng, M. Q., Li, Z. J., Wang, S. (2024). ESG Information Disclosure and Enterprise Total Factor Productivity. Statistics and Information Forum, 39(8), 88-100. |
| [20] | Li, J. L., Yang, Z., Chen, J. (2024). How Does ESG Performance Empower Enterprise Green Technology Innovation? Micro-evidence from Chinese Listed Companies. Journal of Management Engineering, 38(5), 1-17. |
| [21] | Shi, D. W., Cheng, D. J., Lai, X. P. (2025). Path to Enhance Enterprise New Quality Productivity under the Framework of Institutional Complexity: Taking Specialized, Refined, Distinctive and New Small Giant Listed Enterprises as an Example. Journal of Capital University of Economics and Business, 27(2), 13-30. |
| [22] | Cui, Q. B., Yu, H. Y. (2024). Construction of Free Trade Pilot Zones and Development of Enterprise New Quality Productivity. Western Forum, 34(6), 1-16. |
| [23] | Wu, K. Y., Hu, J., Li, Q. Y. (2025). Research on the Impact of Institutional Openness on Enterprise New Quality Productivity [J/OL]. Scientific Research Management, 1-14 [2025-08-31]. |
| [24] | Yang, Z. A., Hou, Y. W. (2025). Fiscal Subsidies, Tax Preferences and Cultivation of Enterprise New Quality Productivity: From the Perspective of Synergistic Effect Analysis [J/OL]. Modern Finance and Economics (Journal of Tianjin University of Finance and Economics), (9), 25-40 [2025-08-31]. |
| [25] | Dong, Q., Tan, W. J., Xie, J. P., et al. (2025). Government Data Opening and Development of Enterprise New Quality Productivity. Research on Economics and Management, 46(3), 3-23. |
| [26] |
Ningbo Customs. (2025). China Gate Times: Using Customs Intelligence to Serve and Promote Chinese-style Modernization: Scan of Excellent Projects of Smart Customs Construction in 2024 (Part 1) [EB/OL]. (2025-02-11) [2026-01-15].
http://gdfs.customs.gov.cn/ningbo_customs/470749/470750/6360475/index.html |
| [27] | Economic Daily. (2020). People's Bank and Other Departments Issue Documents to Regulate Supply Chain Finance Development: Core Enterprises Must Not Crowd Out the Interests of Small and Medium-sized Micro Enterprises [EB/OL]. (2020-09-23) [2026-01-15]. |
| [28] | Coase, R. H. (1960). The Problem of Social Cost. Journal of Law and Economics, 3(1), 1-44. |
| [29] | Akerlof, G. A. (1970). The Market for "Lemons": Quality Uncertainty and the Market Mechanism. The Quarterly Journal of Economics, 84(3), 488-500. |
| [30] | Arrow, K. J. (1962). Economic Welfare and the Allocation of Resources for Invention. In R. R. Nelson (Ed.), The Rate and Direction of Inventive Activity: Economic and Social Factors (pp. 609-626). Princeton: Princeton University Press. |
APA Style
Guo, Y., Xu, H., Feng, Q. (2026). The Significance of the Construction of a Smart Customs Ecosystem in Driving the Enhancement of New Quality Productivity for Enterprises. International Journal of Economics, Finance and Management Sciences, 14(1), 109-118. https://doi.org/10.11648/j.ijefm.20261401.19
ACS Style
Guo, Y.; Xu, H.; Feng, Q. The Significance of the Construction of a Smart Customs Ecosystem in Driving the Enhancement of New Quality Productivity for Enterprises. Int. J. Econ. Finance Manag. Sci. 2026, 14(1), 109-118. doi: 10.11648/j.ijefm.20261401.19
AMA Style
Guo Y, Xu H, Feng Q. The Significance of the Construction of a Smart Customs Ecosystem in Driving the Enhancement of New Quality Productivity for Enterprises. Int J Econ Finance Manag Sci. 2026;14(1):109-118. doi: 10.11648/j.ijefm.20261401.19
@article{10.11648/j.ijefm.20261401.19,
author = {Yuxiong Guo and He Xu and Qi Feng},
title = {The Significance of the Construction of a Smart Customs Ecosystem in Driving the Enhancement of New Quality Productivity for Enterprises},
journal = {International Journal of Economics, Finance and Management Sciences},
volume = {14},
number = {1},
pages = {109-118},
doi = {10.11648/j.ijefm.20261401.19},
url = {https://doi.org/10.11648/j.ijefm.20261401.19},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijefm.20261401.19},
abstract = {Against the backdrop of profound global trade restructuring and rapid digital advancement, Customs regulatory systems are transforming from traditional models to intelligent, ecosystem-based frameworks. This study investigates how smart Customs ecosystem construction drives enterprises' new quality productivity. Utilizing cross-sectional data from China's 31 provincial regions, the research constructs core indicators including AEO enterprise penetration rate and employs univariate linear regression to empirically examine multidimensional impacts across technological innovation, resource utilization, environmental management, digitalization, and economic structure. Results demonstrate that smart Customs construction significantly enhances trade digitalization index (coefficient: 0.8616, p<0.01) and shows notable effects on energy consumption intensity, industrial SO₂ emissions, and specific digital infrastructure domains. However, its influence on high-tech industries and most economic structure variables remains limited. The study identifies four core mechanisms: data connectivity, intelligent prediction, ecological collaboration, and rule optimization. These mechanisms effectively elevate enterprises' new quality productivity by reducing institutional transaction costs, accelerating cross-border innovation flows, stimulating innovation vitality, and creating new growth points. The research proposes policy recommendations including strengthening top-level design, deepening data engineering, optimizing precise services, and improving support systems. These measures aim to overcome practical challenges through institutional innovation and technology integration, providing theoretical foundations and actionable pathways for smart Customs to empower enterprise development, offering valuable insights for achieving the "smart Customs for a strong nation" strategic vision.},
year = {2026}
}
TY - JOUR T1 - The Significance of the Construction of a Smart Customs Ecosystem in Driving the Enhancement of New Quality Productivity for Enterprises AU - Yuxiong Guo AU - He Xu AU - Qi Feng Y1 - 2026/02/27 PY - 2026 N1 - https://doi.org/10.11648/j.ijefm.20261401.19 DO - 10.11648/j.ijefm.20261401.19 T2 - International Journal of Economics, Finance and Management Sciences JF - International Journal of Economics, Finance and Management Sciences JO - International Journal of Economics, Finance and Management Sciences SP - 109 EP - 118 PB - Science Publishing Group SN - 2326-9561 UR - https://doi.org/10.11648/j.ijefm.20261401.19 AB - Against the backdrop of profound global trade restructuring and rapid digital advancement, Customs regulatory systems are transforming from traditional models to intelligent, ecosystem-based frameworks. This study investigates how smart Customs ecosystem construction drives enterprises' new quality productivity. Utilizing cross-sectional data from China's 31 provincial regions, the research constructs core indicators including AEO enterprise penetration rate and employs univariate linear regression to empirically examine multidimensional impacts across technological innovation, resource utilization, environmental management, digitalization, and economic structure. Results demonstrate that smart Customs construction significantly enhances trade digitalization index (coefficient: 0.8616, p<0.01) and shows notable effects on energy consumption intensity, industrial SO₂ emissions, and specific digital infrastructure domains. However, its influence on high-tech industries and most economic structure variables remains limited. The study identifies four core mechanisms: data connectivity, intelligent prediction, ecological collaboration, and rule optimization. These mechanisms effectively elevate enterprises' new quality productivity by reducing institutional transaction costs, accelerating cross-border innovation flows, stimulating innovation vitality, and creating new growth points. The research proposes policy recommendations including strengthening top-level design, deepening data engineering, optimizing precise services, and improving support systems. These measures aim to overcome practical challenges through institutional innovation and technology integration, providing theoretical foundations and actionable pathways for smart Customs to empower enterprise development, offering valuable insights for achieving the "smart Customs for a strong nation" strategic vision. VL - 14 IS - 1 ER -