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Assessing changes in eco-productivity of wastewater treatment plants: The role of costs, pollutant removal efficiency, and greenhouse gas emissions

Gémar, Germán, Gómez, Trinidad, Molinos-Senante, María, Caballero, Rafael, Sala-Garrido, Ramón·2018·Environmental Impact Assessment Review

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Research works printed but not linked: 43

  1. Al-Refaie, 2016, DEA window analysis and Malmquist index to assess energy efficiency and productivity in Jordanian industrial sector, Energy Efficiency, 9, 1299, 10.1007/s12053-016-9424-0 · DOI
  2. Barros, 2012, The technical efficiency of the Japanese banks: non-radial directional performance measurement with undesirable output, Omega, 40, 1, 10.1016/j.omega.2011.02.005 · DOI
  3. Beltrán-Esteve, 2017, Assessing eco-efficiency: a metafrontier directional distance function approach using life cycle analysis, Environ. Impact Assess. Rev., 63, 116, 10.1016/j.eiar.2017.01.001 · DOI
  4. Bidstrup, 2015, Life cycle thinking in impact assessment-current practice and LCA gains, Environ. Impact Assess. Rev., 54, 72, 10.1016/j.eiar.2015.05.003 · DOI
  5. Boussemart, 2003, Luenberger and Malmquist productivity indices: theoretical comparisons and empirical illustration, Bull. Econ. Res., 55, 391, 10.1111/1467-8586.00183 · DOI
  6. Castellet, 2016, Efficiency assessment of wastewater treatment plants: a data envelopment analysis approach integrating technical, economic, and environmental issues, J. Environ. Manag., 167, 160, 10.1016/j.jenvman.2015.11.037 · DOI
  7. Chen, 2017, Eco-efficiency assessment for global warming potential of ethylene production processes: a case study of China, J. Clean. Prod., 142, 3109, 10.1016/j.jclepro.2016.10.156 · DOI
  8. Dong, 2017, Measuring and explaining eco-efficiencies of wastewater treatment plants in China: an uncertainty analysis perspective, Water Res., 112, 195, 10.1016/j.watres.2017.01.026 · DOI
  9. Fujii, 2014, Indian bank efficiency and productivity changes with undesirable outputs: a disaggregated approach, J. Bank. Finance, 38, 41, 10.1016/j.jbankfin.2013.09.022 · DOI
  10. Fujii, 2015, Decomposition of productivity considering multi-environmental pollutants in Chinese industrial sector, Rev. Dev. Econ., 19, 75, 10.1111/rode.12123 · DOI
  11. Fujii, 2017, Bank efficiency, productivity, and convergence in EU countries: a weighted Russell directional distance model, Eur. J. Finance
  12. Gu, 2016, The feasibility and challenges of energy self-sufficient wastewater treatment plants, Appl. Energy, 204, 1463, 10.1016/j.apenergy.2017.02.069 · DOI
  13. Guerrini, 2015, Measuring the efficiency of wastewater services through data envelopment analysis, Water Sci. Technol., 71, 1845, 10.2166/wst.2015.169 · DOI
  14. Guerrini, 2017, Cost savings in wastewater treatment processes: the role of environmental and operational drivers, Water Resour. Manag., 31, 2465, 10.1007/s11269-017-1586-9 · DOI
  15. Hernández-Sancho, 2011, Techno-economical efficiency and productivity change of wastewater treatment plants: the role of internal and external factors, J. Environ. Monit., 13, 3448, 10.1039/c1em10388a · DOI
  16. IPCC, 2006, Vol. 5
  17. Ji, 2013, Evaluation on China's regional eco-efficiency —based on ecological footprint methodology, Contemp. Econ. Manag., 35, 57
  18. Laitinen, 2017, Resource efficient wastewater treatment in a developing area—climate change impacts and economic feasibility, Ecol. Eng., 103, 217, 10.1016/j.ecoleng.2017.04.017 · DOI
  19. Larrey-Lassalle, 2017, An innovative implementation of LCA within the EIA procedure: lessons learned from two wastewater treatment plant case studies, Environ. Impact Assess. Rev., 63, 95, 10.1016/j.eiar.2016.12.004 · DOI
  20. Liu, 2017, DEA cross-efficiency evaluation considering undesirable output and ranking priority: a case study of eco-efficiency analysis of coal-fired power plants, J. Clean. Prod., 142, 877, 10.1016/j.jclepro.2016.04.069 · DOI
  21. Lorenzo-Toja, 2017, Dynamic environmental efficiency assessment for wastewater treatment plants, Int. J. Life Cycle Assess.
  22. Luptacik, M. (2000). Optimization, dynamics and economic analysis. Data Envelopment Analysis as a Tool for Measurement of Eco-efficiency, pp. 36-48. E.J. Dockner et al. (eds.) Physica-Verlag Heidelberg. · DOI
  23. Mahlberg, 2011, Examining the drivers of total factor productivity change with an illustrative example of 14 EU countries, Ecol. Econ., 72, 60, 10.1016/j.ecolecon.2011.10.001 · DOI
  24. Meneses, 2015, Life cycle assessment as an environmental evaluation tool for control strategies in wastewater treatment plants, J. Clean. Prod., 107, 653, 10.1016/j.jclepro.2015.05.057 · DOI
  25. Molinos-Senante, 2015, The impact of privatization approaches on the productivity growth of the water industry: a case study of Chile, Environ Sci Policy, 50, 166, 10.1016/j.envsci.2015.02.015 · DOI
  26. Molinos-Senante, 2010, Economic feasibility study for wastewater treatment: a cost-benefit analysis, Sci. Total Environ., 408, 4396, 10.1016/j.scitotenv.2010.07.014 · DOI
  27. Molinos-Senante, 2016, Eco-efficiency assessment of wastewater treatment plants using a weighted Russell directional distance model, J. Clean. Prod., 137, 1066, 10.1016/j.jclepro.2016.07.057 · DOI
  28. Molinos-Senante, 2016, Estimating the environmental and resource costs of leakage in water distribution systems: a shadow price approach, Sci. Total Environ., 568, 180, 10.1016/j.scitotenv.2016.06.020 · DOI
  29. Oggioni, 2017, Eco-efficiency of the world cement industry: a data envelopment analysis, Energy Policy, 39, 2842, 10.1016/j.enpol.2011.02.057 · DOI
  30. Pan, 2013, Agricultural eco-efficiency evaluation in China based on SBM model, Acta Ecol. Sin., 33, 3837, 10.5846/stxb201207080953 · DOI
  31. Peng, 2017, Eco-efficiency and its determinants at a tourism destination: a case study of Huangshan National Park, China, Tour. Manag., 60, 201, 10.1016/j.tourman.2016.12.005 · DOI
  32. Pérez, 2017, Energy and GHG emission efficiency in the Chilean manufacturing industry: sectoral and regional analysis by DEA and Malmquist indexes, Energy Econ., 66, 290, 10.1016/j.eneco.2017.05.022 · DOI
  33. Ren, 2017, Multi-criteria group decision-making based sustainability measurement of wastewater treatment processes, Environ. Impact Assess. Rev., 65, 91, 10.1016/j.eiar.2017.04.008 · DOI
  34. Roefs, 2017, Centralised, decentralised or hybrid sanitation systems? Economic evaluation under urban development uncertainty and phased expansion, Water Res., 109, 274, 10.1016/j.watres.2016.11.051 · DOI
  35. Sala-Garrido, 2012, Assessing the efficiency of wastewater treatment plants in an uncertain context: a DEA with tolerances approach, Environ Sci Policy, 18, 34, 10.1016/j.envsci.2011.12.012 · DOI
  36. Simoes, 2012, Influence of regulation on the productivity of waste utilities. What can we learn with the Portuguese experience?, Waste Manag., 32, 1266, 10.1016/j.wasman.2012.02.004 · DOI
  37. Tomei, 2016, Techno-economic and environmental assessment of upgrading alternatives for sludge stabilization in municipal wastewater treatment plants, J. Clean. Prod., 112, 3106, 10.1016/j.jclepro.2015.10.017 · DOI
  38. Wang, 2010, Carbon emission reduction in the municipal wastewater treatment field, Water Supply Sewerage, 6, 1
  39. Wei, 2013, An empirical analysis of the CO2 shadow price in Chinese thermal power enterprises, Energy Econ., 40, 22, 10.1016/j.eneco.2013.05.018 · DOI
  40. Yang, 2016, Assessing regional eco-efficiency from the perspective of resource, environmental and economic performance in China: a bootstrapping approach in global data envelopment analysis, J. Clean. Prod.
  41. Yin, 2014, Using eco-efficiency as an indicator for sustainable urban development: a case study of Chinese provincial capital cities, Ecol. Indic., 36, 665, 10.1016/j.ecolind.2013.09.003 · DOI
  42. Zelenyuk, 2014, Directional vs. Shephard's distance functions, Optim. Lett., 8, 2185, 10.1007/s11590-014-0726-x · DOI
  43. Zhou, 2014, On estimating shadow prices of undesirable outputs with efficiency models: a literature review, Appl. Energy, 130, 799, 10.1016/j.apenergy.2014.02.049 · DOI

Cited by

Metadata

Authors
Gémar, G., Gómez, T., Molinos-Senante, M., Caballero, R., & Sala-Garrido, R.
Venue
Environmental Impact Assessment Review
Publisher
Elsevier BV
Published
2018-03
Volume
69
Pages
24-31
ISSN
0195-9255
Cited by
64
References
0
Language
en
Funders
  • Ministerio de Educación, Cultura y Deporte (ECO2016-76567-C4-4-R)
  • Junta de Andalucía (SEJ417)
  • Comisión Nacional de Investigación Científica y Tecnológica
  • Fondo Nacional de Desarrollo Científico y Tecnológico (11160031)

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