Research on China’s aquaculture efficiency evaluation and influencing factors with undesirable outputs

Abstract

Taking the aquaculture area, the number of farming boats and that of aquaculturist as input variables, the aquaculture production as desirable output variable and polluted economic loss as undesirable output variable, this paper conducts SBM model to evaluate the aquaculture efficiency based on the data of 16 aquaculture-developed provinces in China from 2004 to 2011. The results show the efficiency in China has not changed much in recent years with the efficiency values mainly between 0.39 and 0.53, and the efficiency of marine-aquaculture-dominated provinces is generally higher than that of freshwater-aquaculture-dominated ones. To analyze the difference under the efficiency, the panel Tobit model is used with education level factor, training factor, technology extension factor, technical level factor, scale factor and species factor as the efficiency influencing factors. The results show that technology extension factor and technical level factor have significant positive influence.

This is a preview of subscription content, log in to check access.

References

  1. Asche, F., Roll, K. H., and Tveteras, R., 2009. Economic inefficiency and environmental impact: An application to aquaculture production. Journal of Environmental Economics and Management, 58 (1): 93–105.

    Article  Google Scholar 

  2. Banker, R. D., Charnes, A., and Cooper, W. W., 1984. Some models for estimating technical and scale inefficiencies in data envelopment analysis. Managament Science, 30 (9): 1078–1092.

    Article  Google Scholar 

  3. Bao, X. T., Xu, H., Zhang, J. H., and Ding, J. D., 2012. The best management practices about aquaculture of non-point source pollution control. South China Fisheries Science, 8 (3): 79–86.

    Google Scholar 

  4. Chen, Y. S., Fang, R. J., and Qiao, J., 2012. China marine aquaculture development research. Journal of Agricultural Economy, (6): 72–78.

    Google Scholar 

  5. Cinemre, H. A., Ceyhan, V., Bozoglu, M., Demiryurek, K., and Kiliç, O., 2006. The cost efficiency of trout farms in the Black Sea Region, Turkey. Aquaculture, 251 (2–4): 324–332.

    Article  Google Scholar 

  6. Hu, H. Y., Lu, J. W., and Yang, H. S., 2003. Ecological function of macroalgae in fish culture system. Marine Sciences, 27 (2): 19–21.

    Google Scholar 

  7. Lin, D. N., Gu, X. B., and Feng, B., 2007. Technical efficiency evaluation of maoming fishery production based on DEA. Journal of Maoming College, 17 (3): 70–73.

    Google Scholar 

  8. Meng, Q. W., 2013. Research on the influence of science and technology innovation on mariculture and fine processing of aquatic products. Ocean Development and Management, (8): 94–97.

    Google Scholar 

  9. Miao, W. M., Yuan, X. H., Qian, J. R., and Su, X. Y., 2003. Research on cyprinidae fish pond farming technical efficiency. China Fishery Economy, (4): 30–5.

    Google Scholar 

  10. Muir, J., 2005. Managing to harvest perspectives on the potential of aquaculture. Philosophical Transactions of the Royal Society, (360): 191–218.

    Article  Google Scholar 

  11. Nielsen, R., 2011. Green and technical efficient growth in Danish fresh water aquaculture. Aquaculture Economics & Management, 15 (4): 262–277.

    Article  Google Scholar 

  12. Sun, Z. M., 2012. An empirical study on production factors’ elasticity of water aquaculture in China: Based on trans-log production function. Chinese Fisheries Economics, 30 (3): 133–139.

    Google Scholar 

  13. Tone, K., 2004. Dealing with undesirable outputs in DEA: A Slacks-Based Measure (SBM) approach. Nippon Opereshonzu, Risachi Gakkai Shunki Kenkyu Happyokai Abusutorakutoshu, 44–45.

    Google Scholar 

  14. Vassdal, T., and Holst, H. M. S., 2011. Technical progress and regress in Norwegian salmon farming: A malmquist index approach. Marine Resource Economics, (26): 329–341.

    Article  Google Scholar 

  15. Wang, D. L., 2013. Research on China aquaculture production efficiency and its influencing factors. Ocean Development and Management, (2): 94–98.

    Google Scholar 

  16. Zhang, S. Y., Li, G., Wu, H. B., Liu, X. G., Yao, Y. H., Tao, L., and Liu, H., 2011. An integrated recirculating aquaculture system (RAS) for land-based fish farming: The effects on water quality and fish production. Aquacultural Engineering, 45 (3): 93–102.

    Article  Google Scholar 

Download references

Author information

Affiliations

Authors

Corresponding author

Correspondence to Jianyue Ji.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Ji, J., Wang, P. Research on China’s aquaculture efficiency evaluation and influencing factors with undesirable outputs. J. Ocean Univ. China 14, 569–574 (2015). https://doi.org/10.1007/s11802-015-2679-9

Download citation

Keywords

  • China’s aquaculture industry
  • efficiency evaluation
  • influencing factors
  • SBM model
  • panel Tobit model