Skip to main navigation menu Skip to main content Skip to site footer

Research Article

Vol. 2 No. 1 (2026): International Journal of Multidisciplinary Research

Research on Innovative Environmental Management Models of Leading Agricultural Industrialization Enterprises in Liaoning Province

  • Jingya Wang
DOI
https://doi.org/10.65231/ijmr.v2i1.122
Submitted
February 2, 2026
Published
2026-01-31 — Updated on 2026-02-19
Versions

Abstract

Under the background of the 'dual carbon' goals and the green transformation of agriculture, the innovation of environmental management modes in leading agricultural enterprises in Liaoning Province has become a key factor in promoting regional agricultural sustainable development. Based on theories such as circular economy and technological innovation, this paper addresses issues such as passive environmental protection and insufficient technology application in enterprises in Liaoning Province, and designs a three-level environmental management innovation model of 'internal enterprise closed loop – industry chain collaboration – regional resource sharing.' An empirical test is conducted using Sanyou Agriculture as a case study. The data show that after implementing this model, the enterprise significantly outperformed the industry average in environmental performance, economic performance, and technological adaptability, achieving a win-win situation of 'enhanced efficiency through environmental protection.' The research findings not only enrich the theoretical framework at the intersection of agricultural economics and environmental management but also provide practical references for the green transformation of leading agricultural enterprises in Liaoning Province and for relevant policy-making.

References

  1. Ying, Y., & Yadong, F. Analysis and Evaluation on Agricultural Industrialization Leading Enterprise in Heilongjiang Province. In 2010 International Conference on Internet Technology and Applications.
  2. GUO, Y., ZHANG, G., & DU, K. (2023). Evaluation and Analysis of Competitiveness of 28 Leading Agricultural Industrialization Enterprises and Inspiration for Key Leading Agricultural Industrialization Enterprises in Shanxi Province. AGRICULTURAL ENGINEERING, 13(12), 144-149.
  3. Zeng, F., Zhou, Y., & Wei, B. (2024). Empowering sustainable development: revolutionizing agricultural green total factor productivity through rural digitalization. Frontiers in Sustainable Food Systems, 8, 1455732.
  4. Gao, S., Yang, X., Long, H., Zhang, F., & Xin, Q. (2023). The sustainable rural industrial development under entrepreneurship and deep learning from digital empowerment. Sustainability, 15(9), 7062.
  5. Gawaikar, V., Bhole, A. G., & Lakhe, R. R. (2018). Measuring the Impact of ISO 14001 Implementation. Polish Journal of Environmental Studies, 27(2).
  6. Liu, Y. L., & Li, S. Q. (2014). Empirical Research on Ecological Carrying Capacity Evaluation of Agricultural Industrialization Leading Enterprises. Advanced Materials Research, 1010, 717-721
  7. Li, B. (2025). From Maps to Decisions: A GeoAI Framework for Multi-Hazard Infrastructure Resilience and Equitable Emergency Management. American Journal Of Big Data, 6(3), 139-153.
  8. Li, B. (2025). GIS-Integrated Semi-Supervised U-Net for Automated Spatiotemporal Detection and Visualization of Land Encroachment in Protected Areas Using Remote Sensing Imagery.
  9. Li, B. (2025, September). AD-STGNN: Adaptive diffusion spatiotemporal GNN for dynamic urban fire vehicle dispatch and emergency response. In Third International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2025) (Vol. 13791, pp. 810-815). SPIE.
  10. Liu, X. (2025). Modular Photobioreactor Façade Systems for Sustainable Architecture: Design, Fabrication, and Real-Time Monitoring. arXiv preprint arXiv:2503.06769.
  11. Huang, J., & Qiu, Y. (2025). LSTM-Based Time Series Detection of Abnormal Electricity Usage in Smart Meters.
  12. Li, B. (2025, August). High-precision photovoltaic potential prediction using a multi-factor deep residual network. In 2025 6th International Conference on Clean Energy and Electric Power Engineering (ICCEE) (pp. 300-303). IEEE.
  13. Qi, R. (2025). AUBIQ: A Generative AI-Powered Framework for Automating Business Intelligence Requirements in Resource-Constrained Enterprises. Frontiers in Business and Finance, 2(01), 86-88.
  14. Zhang, T. (2025). A Knowledge Graph-Enhanced Multimodal AI Framework for Intelligent Tax Data Integration and Compliance Enhancement. Frontiers in Business and Finance, 2(02), 247-261.
  15. Qi, R. (2025, July). DecisionFlow for SMEs: A Lightweight Visual Framework for Multi-Task Joint Prediction and Anomaly Detection. In Proceedings of the 2025 International Conference on Economic Management and Big Data Application (pp. 899-903).
  16. Yi, X. (2025). Federated Incentive Learning: A Privacy-Preserving Framework for Ad Monetization and Creator Rewards in High-Concurrency Environments. American Journal Of Big Data, 6(3), 60-88.