Advertisement

Cleaner Production assessment for sea cucumber aquaculture: methodology and case studies in Dalian, China

  • Haochen Hou
  • Shuai Shao
  • Yun ZhangEmail author
  • Delin Sun
  • Qiuying Yang
  • Chenglu Qin
  • Xiaoyang Sun
Original Paper
  • 6 Downloads

Abstract

With the rapid increase in sea cucumber aquaculture productions, numerous environmental pollution challenges have emerged in China. It is necessary to implement Cleaner Production (CP) assessment in sea cucumber aquaculture industry to facilitate sustainable development. CP indicator system could be a useful reference resource for enterprises to implement CP strategy and select appropriate CP technologies. Therefore, a CP indicator system was established for the first time in sea cucumber aquaculture industry and the suitability of production area as a first-grade indicator was first incorporated into the CP assessment framework in this study. Two enterprises as case studies in Dalian, China, were selected, and a synthetic assessment model was developed using Delphi method, analytic hierarchy process, and fuzzy comprehensive evaluation method. The results show that two enterprises are at a CP average level while that of enterprise X is higher than that of enterprise Y. Moreover, the detailed CP improvement measures for two enterprises were proposed based on the assessment results. The works in this study could provide a useful reference to implement CP in sea cucumber aquaculture industry and other aquaculture industries in China.

Graphic abstract

Keywords

Cleaner Production Sea cucumber aquaculture Fuzzy comprehensive evaluation Analytic hierarchy process 

Notes

Acknowledgements

The authors warmly thank professor Tong Liu for the technical support for CP assessment indicator system.

References

  1. Ba HZ, Yao F, Yang L, Qin T, Luan H, Li ZM, Zou XY, Hou L (2015) Identification and expression patterns of extracellular matrix-associated genes fibropellin-ia and tenascin involved in regeneration of sea cucumber Apostichopus japonicus. Gene 565:96–105CrossRefGoogle Scholar
  2. Bai B (2009) Study on evaluation method of excavation cleaner production lever of coal mining. Dissertation, North China University of Science and TechnologyGoogle Scholar
  3. Bai SW, Zhang JS, Wang Z (2015) A methodology for evaluating cleaner production in the stone processing industry: case study of a Shandong stone processing firm. J Clean Prod 102:461–476CrossRefGoogle Scholar
  4. Bai SW, Hua QS, Cheng LJ, Wang QY, Elwert T (2019) Improve sustainability of stone mining region in developing countries based on cleaner production evaluation: methodology and a case study in Laizhou region of China. J Clean Prod 207:929–950CrossRefGoogle Scholar
  5. Birdsall I (2004) It seemed like a good idea at the time: the forces affecting implementation of strategies for an information technology project in the Department of Defense. Dissertation, Virginia Polytechnic Institute and State UniversityGoogle Scholar
  6. Boran EF, Genç S, Kurt M, Akay D (2009) A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert Syst Appl 36:11363–11368CrossRefGoogle Scholar
  7. Brady SR (2015) Utilizing and adapting the Delphi method for use in qualitative research. Int J Qual Methods 14:1–6CrossRefGoogle Scholar
  8. China fishery statistical yearbook (2018) China Agriculture Press, p 175Google Scholar
  9. Dalkey N, Helmer O (1963) An experimental application of the Delphi methods to the use of experts. Manag Sci 9:458–467CrossRefGoogle Scholar
  10. DB 21/2392 (2014) Food safety local standards: sea cucumber. China Standards Press, BeijingGoogle Scholar
  11. Dong XQ, Li CL, Li J, Wang J, Huang WT (2010) A game-theoretic analysis of implementation of cleaner production policies in the Chinese electroplating industry. Resour Conserv Recycl 54:1442–1448CrossRefGoogle Scholar
  12. Fu ZG, Liao HC (2019) Unbalanced double hierarchy linguistic term set: the TOPSIS method for multi-expert qualitative decision making involving green mine selection. Inf Fusion 51:271–286CrossRefGoogle Scholar
  13. GB 11607 (1989) Water quality standard for fisheries. China Standards Press, BeijingGoogle Scholar
  14. GB 3097 (1997) Sea water quality standard. China Standards Press, BeijingGoogle Scholar
  15. GB 18407.4 (2001) Safety qualification for agricultural product-environmental requirements for origin of non-environmental pollution aquatic products. China Standards Press, BeijingGoogle Scholar
  16. GB 2733 (2015) Fresh and frozen aquatic products. China Standards Press, BeijingGoogle Scholar
  17. GB 11607 (2017) Hygienical standard for feeds. China Standards Press, BeijingGoogle Scholar
  18. GB/T 19630.1 (2011) Organic products—part 1: production. China Standards Press, BeijingGoogle Scholar
  19. GB/T 20014.13 (2013) Good agricultural practice—part 13: aquaculture base control points and compliance criteria. China Standards Press, BeijingGoogle Scholar
  20. Heng X (2017) The development of microecologics for industrialized mariculture. Dissertation, Dalian University of TechnologyGoogle Scholar
  21. Hou HC, Shao S, Zhang Y, Kang H, Qin CL, Sun XY, Zhang SS (2019) Life cycle assessment of Sea cucumber production: a case study, China. J Clean Prod 213:158–164CrossRefGoogle Scholar
  22. Hu AH, Chen SH, Hsu CW, Wang C, Wu CL (2012) Development of sustainability evaluation model for implementing product service systems. Int J Environ Sci Technol 9:343–354CrossRefGoogle Scholar
  23. Huang C, Chu P, Chiang Y (2008) A fuzzy AHP application in government sponsored R&D project selection. Omega 36:1038–1052CrossRefGoogle Scholar
  24. Hwang CL, Yoon K (1981) Multiple attribute decision making. Lecture notes in economics and mathematical systems. Springer, Berlin, pp 58–191CrossRefGoogle Scholar
  25. Kim Y, Zhang Q (2018) Economic and environmental life cycle assessments of solar water heaters applied to aquaculture in the US. Aquaculture 495:44–54CrossRefGoogle Scholar
  26. Li J, Zhang YM, Liu T, Huang J, Bao SX (2014) A methodology for assessing cleaner production in the vanadium extraction industry. J Clean Prod 84:598–605CrossRefGoogle Scholar
  27. Maroušek J (2014) Economically oriented process optimization in waste management. Environ Sci Pollut Res 21:7400–7402CrossRefGoogle Scholar
  28. Maroušek J, Vochozka M, Plachý J, Žák J (2017) Glory and misery of biochar. Clean Technol Environ Policy 19:311–317CrossRefGoogle Scholar
  29. NDRC (2013) Chinese national standard of directive principle for CP assessment indicator system. http://www.ndrc.gov.cn/zcfb/zcfbgg/201306/W020130613578239365796.pdf. Accessed 20 May 2019
  30. NY/T 1514-2007 (2007) Green food-sea cucumber products. China Standards Press, BeijingGoogle Scholar
  31. Olson SL (2004) Comparison of weights in TOPSIS models. Math Comput Model 40:721–727CrossRefGoogle Scholar
  32. Padda IUH, Asim M (2019) What determines compliance with cleaner production? An appraisal of the tanning industry in Sialkot, Pakistan. Environ Sci Pollut Res 26:1733–1750CrossRefGoogle Scholar
  33. Saaty TL (1977) A scaling method for priorities in hierarchical structures. J Math Psychol 15:234–281CrossRefGoogle Scholar
  34. Stein EW (2013) A comprehensive multi-criteria model to rank electric energy production technologies. Renew Sustain Energy Rev 22:640–654CrossRefGoogle Scholar
  35. Taddeo R, Simboli A, Vincenzo DF, Ioppolo G (2019) A bibliometric and network analysis of Lean and Clean(er) production research (1990/2017). Sci Total Environ 653:765–775CrossRefGoogle Scholar
  36. Tong O, Shao S, Zhang Y, Chen Y, Liu SL, Zhang SS (2012) An AHP-based water-conservation and waste-reduction indicator system for cleaner production of textile-printing industry in China and technique integration. Clean Technol Environ Policy 14:857–868CrossRefGoogle Scholar
  37. Tseng ML, Lin YH, Chiu ASF (2009) Fuzzy AHP-based study of cleaner production implementation in Taiwan PWB manufacturer. J Clean Prod 17:1249–1256CrossRefGoogle Scholar
  38. Valenti CW, Kimpara MJ, Preto LB, Valenti MP (2018) Indicators of sustainability to assess aquaculture systems. Ecol Indic 88:402–413CrossRefGoogle Scholar
  39. Wang GD, Dong SL, Tian XL, Gao QF, Wang F, Xu KF (2015) Life cycle assessment of different sea cucumber (Apostichopus japonicus Selenka) farming systems. J Ocean Univ China 14:1068–1074CrossRefGoogle Scholar
  40. Wimolrattanasil T, Thepanondh S, Sattler ML, Laowagul W (2018) Quantitative evaluation of cleaner production and environmental policy toward the co-beneft of greenhouse gas and odor reduction: case study of Tapioca starch industry. Clean Technol Environ Policy 20:2333–2343CrossRefGoogle Scholar
  41. Zhou H, Dai R (2001) Level analysis method for comprehensive appraisal of power generation technique. Electr Power Constr 22:23–25Google Scholar
  42. Zohdi RM, Zakaria ZAB, Yusof N, Mustapha NM, Abdullah MNH (2011) Sea cucumber (Stichopus hermanii) based hydrogel to treat burn wounds in rats. J Biomed Mater Res B 98:30–37CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Haochen Hou
    • 1
  • Shuai Shao
    • 1
  • Yun Zhang
    • 1
    Email author
  • Delin Sun
    • 1
  • Qiuying Yang
    • 1
  • Chenglu Qin
    • 1
  • Xiaoyang Sun
    • 1
  1. 1.Key Laboratory of Industrial Ecology and Environmental Engineering (MOE), School of Environmental Science and TechnologyDalian University of TechnologyDalianChina

Personalised recommendations