Corporate Governance, Resource Allocation, and Efficiency in Fisheries: A Data Envelopment Analysis Approach
DOI:
https://doi.org/10.6981/FEM.202501_6(1).0013Keywords:
Corporate Governance; Fishery Economy; Resource Allocation; Efficiency; Data Envelopment Analysis.Abstract
This study explores the role of corporate governance in fishery resource allocation and efficiency improvement, and conducts quantitative analysis through the data envelopment analysis (DEA) model. The study takes fishery enterprises as samples, combines corporate governance indicators, constructs an extended DEA model, and evaluates the impact of governance on efficiency. The results show that corporate governance has a significant role in promoting resource allocation efficiency, and enterprises with high governance levels perform better in resource utilization and output efficiency. The study provides theoretical support for the sustainable development of the fishery economy and puts forward policy recommendations to optimize corporate governance structure and improve resource allocation efficiency.
Downloads
References
[1] Lin, C., Ma, Y., & Su, D. (2009). Corporate Governance and Firm Efficiency: Evidence from China's Publicly Listed Firms. Managerial and Decision Economics, 30(3), 193-209.
[2] Nguyen, H. T., & Coelli, T. (2009). Quantifying the Effects of Modelling Choices on Hospital Efficiency Measures: A Meta-Regression Analysis. Applied Economics, 41(3), 339-349.
[3] Pascoe, S., & Herrero, I. (2004). Estimation of a Composite Fish Stock Sustainability Index Using Data Envelopment Analysis. Marine Resource Economics, 19(1), 23-38.
[4] Maravelias, C. D., & Tsitsika, E. V. (2008). Economic Efficiency Analysis and Fleet Capacity Assessment in Mediterranean Fisheries. Fisheries Research, 93(1-2), 85-91.
[5] Li, X., & Xu, J. (2010). Efficiency and Productivity Analysis of China's Offshore Fisheries: A DEA Approach. China Agricultural Economic Review, 2(3), 297-308.
[6] Kim, S., Lee, J., & Lee, M. (2005). Estimation of Technical Efficiency in Korean Offshore Fisheries Using Stochastic Frontier Analysis. Marine Resource Economics, 20(2), 239-252.
[7] Duy, N. N., & Flaaten, O. (2016). Economic Performance and Efficiency of Offshore Fisheries: A Case Study of Vietnamese Longliners. Fisheries Research, 174, 10-17.
[8] Qu, Y., Li, A., & Zhong, S. (2023). The Efficiency of China's Freshwater Fishery Breeding: Nonparametric Data Envelopment Analysis Based on Interprovincial Data. Environmental Science and Pollution Research, 30, 48972–48987.
[9] Feijoo, G., Moreira, M. T., & Fernandez, M. J. (2012). Combined Application of Life Cycle Assessment and Data Envelopment Analysis as a Methodological Approach for the Assessment of Fisheries. International Journal of Life Cycle Assessment, 17, 896–906.
[10] Ghosh, N. (2021). Efficiency of Indian Marine Fisheries: A Comparative Study Using Data Envelopment Analysis. In Economics of Fisheries Management (pp. 345-362). Routledge.
[11] Walden, J. B., & Kirkley, J. E. (2000). Measuring Technical Efficiency and Capacity in Fisheries by Data Envelopment Analysis Using the General Algebraic Modeling System (GAMS): A Workbook. NOAA Technical Memorandum NMFS-NE-160.
[12] Pascoe, S., & Mardle, S. (2003). Efficiency Analysis in EU Fisheries: Stochastic Production Frontiers and Data Envelopment Analysis. Applied Economics, 35(15), 1699-1710.
[13] Squires, D., & Kirkley, J. (1999). Skipper Skill and Panel Data in Fishing Industries. Canadian Journal of Fisheries and Aquatic Sciences, 56(11), 2011-2018.
[14] Tingley, D., Pascoe, S., & Coglan, L. (2005). Factors Affecting Technical Efficiency in Fisheries: Stochastic Production Frontier versus Data Envelopment Analysis Approaches. Fisheries Research, 73(3), 363-376.
[15] Herrero, I., & Pascoe, S. (2003). Value versus Volume in the Catch of the Spanish South-Atlantic Trawl Fishery. Journal of Agricultural Economics, 54(3), 325-341.
[16] Coelli, T., Rahman, D., & Thirtle, C. (2002). Technical, Allocative, Cost and Scale Efficiencies in Bangladesh Rice Cultivation: A Non-parametric Approach. Journal of Agricultural Economics, 53(3), 607-626.
[17] Kirkley, J. E., Squires, D., & Strand, I. E. (1995). Assessing Technical Efficiency in Commercial Fisheries: The Mid-Atlantic Sea Scallop Fishery. American Journal of Agricultural Economics, 77(3), 686-697.
[18] Fousekis, P., & Klonaris, S. (2003). Technical Efficiency Determinants for Fisheries: A Study of Gillnet and Longline Vessels in Greece. Fisheries Research, 63(1), 85-95.
[19] Holland, D. S., & Sutinen, J. G. (2000). Location Choice in New England Trawl Fisheries: Old Habits Die Hard. Land Economics, 76(1), 133-149.
[20] Dupont, D. P., & Grafton, R. Q. (2001). Multi-species Individual Transferable Quotas: The Scotia-Fundy Mobile Gear Groundfishery. Marine Resource Economics, 16(3), 143-159.
[21] Reid, C., & Squires, D. (2007). Measuring fishing capacity in tuna fisheries: Data Envelopment Analysis, industry surveys, and data collection. FAO Fisheries Proceedings, (8), 87-110.
[22] Griffin, W. L., & Woodward, R. T. (2011). Determining policy-efficient management strategies in fisheries using data envelopment analysis (DEA). Marine Policy, 35(4), 496-507.
[23] Zhang, T. (2018). Corporate governance and resource allocation efficiency: Evidence from IPO regulation in China. Journal of International Accounting Research, 17(3), 43-67.
[24] Guritno, A. D., & Suwondo, E. (2017). An application of data envelopment analysis to determine the efficiency level of the fish auction facility in coastal area, Java Island. In Proceeding of the 1st International Conference on Tropical Agriculture (pp. 497-504). Springer.
[25] Qu, Y., Li, A., & Zhong, S. (2023). The efficiency of China’s freshwater fishery breeding: Nonparametric data envelopment analysis based on interprovincial data. Environmental Science and Pollution Research, 30, 48972–48987.
[26] Ghosh, N. (2021). Efficiency of Indian marine fisheries: A comparative study using data envelopment analysis. In Economics of Fisheries Management (pp. 345-362). Routledge.
[27] Walden, J. B., & Kirkley, J. E. (2000). Measuring technical efficiency and capacity in fisheries by data envelopment analysis using the general algebraic modeling system (GAMS): A workbook. NOAA Technical Memorandum NMFS-NE-160.
[28] Pascoe, S., & Mardle, S. (2003). Efficiency analysis in EU fisheries: Stochastic production frontiers and data envelopment analysis. Applied Economics, 35(15), 1699-1710.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Frontiers in Economics and Management

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.



