Joint Life Cycle Assessment and Data Envelopment Analysis for the benchmarking of environmental impacts in rice paddy production

Abstract The combined implementation of Life Cycle Assessment (LCA) and Data Envelopment Analysis (DEA) has been identified as a suitable tool for the evaluation of the environmental and economic performance of multiple similar entities. In this study, a total of 82 rice paddy fields for spring and summer growing seasons in north of Iran were assessed using a combined LCA and DEA methodology to estimate the technical efficiency of each farmer. Furthermore, the environmental consequences of operational inefficiencies were quantified and target performance values benchmarked for inefficient units so that eco-efficiency criteria were verified. Results showed average reduction levels of up to 20% and 25% per material input for spring and summer systems, leading to impact reductions which ranged from 8% to 11% for spring farms and 19% to 25% for summer farms depending on the chosen impact category. Additionally, the potential economic savings from efficient farming operations were also determined. The economic results indicate that an added annual gross margin of 0.045 $ per 1 kg rice paddy could be achieved if inefficient units converted to an efficient operation.

[1]  Mahmoud Omid,et al.  Energy use pattern and benchmarking of selected greenhouses in Iran using data envelopment analysis , 2011 .

[2]  Almudena Hospido,et al.  Best practices in life cycle assessment implementation in fisheries. Improving and broadening environmental assessment for seafood production systems , 2012 .

[3]  Mahmoud Omid,et al.  Environmental impact assessment of tomato and cucumber cultivation in greenhouses using life cycle assessment and adaptive neuro-fuzzy inference system , 2014 .

[4]  Sebastián Lozano,et al.  Environmental impact efficiency in mussel cultivation , 2010 .

[5]  Shizuka Hashimoto,et al.  Rice-related greenhouse gases in Japan, variations in scale and time and significance for the Kyoto Protocol , 2005, Paddy and Water Environment.

[6]  R. Hatano,et al.  Methane emissions from five paddy fields with different amounts of rice straw application in central Hokkaido, Japan , 2007 .

[7]  Alireza Keyhani,et al.  Optimization of energy required for alfalfa production using data envelopment analysis approach , 2012 .

[8]  Ian Vázquez-Rowe,et al.  Identifying the importance of the “skipper effect” within sources of measured inefficiency in fisheries through data envelopment analysis (DEA) , 2013 .

[9]  Almudena Hospido,et al.  Computation of Operational and Environmental Benchmarks Within Selected Galician Fishing Fleets , 2011 .

[10]  A. Hospido,et al.  Benchmarking environmental and operational parameters through eco-efficiency criteria for dairy farms. , 2011, Science of the Total Environment.

[11]  Kaoru Tone,et al.  A slacks-based measure of super-efficiency in data envelopment analysis , 2001, Eur. J. Oper. Res..

[12]  A. Keyhani,et al.  Sensitivity analysis of energy inputs for barley production in Hamedan Province of Iran , 2010 .

[13]  Mahmoud Omid,et al.  Prognostication of environmental indices in potato production using artificial neural networks , 2013 .

[14]  N. Halberg,et al.  Environmental assessment of organic soybean (Glycine max.) imported from China to Denmark: a case study , 2010 .

[15]  Xunfeng Xia,et al.  Life cycle assessment of a rice production system in Taihu region, China , 2010 .

[16]  H. Neue Fluxes of methane from rice fields and potential for mitigation , 1997 .

[17]  Impact of Mechanization on Technical Efficiency: A Case Study of Rice Farmers in Iran , 2012 .

[18]  Gumersindo Feijoo,et al.  Further potentials in the joint implementation of life cycle assessment and data envelopment analysis. , 2010, The Science of the total environment.

[19]  John J. Reap,et al.  A survey of unresolved problems in life cycle assessment , 2008 .

[20]  S. Mohtasebi,et al.  Energy efficiency improvement and input cost saving in kiwifruit production using Data Envelopment Analysis approach , 2011 .

[21]  R. Tajima,et al.  Assessing energy efficiencies and greenhouse gas emissions under bioethanol-oriented paddy rice production in northern Japan. , 2011, Journal of environmental management.

[22]  Ni-Bin Chang,et al.  Comparisons between global warming potential and cost–benefit criteria for optimal planning of a municipal solid waste management system , 2012 .

[23]  Wenjun Zhang,et al.  A Long-Term Forecast Analysis On Worldwide Land Uses , 2006, Environmental monitoring and assessment.

[24]  Gumersindo Feijoo,et al.  The link between operational efficiency and environmental impacts. A joint application of Life Cycle Assessment and Data Envelopment Analysis. , 2009, The Science of the total environment.

[25]  K. Hayashi,et al.  Variability in environmental impacts during conversion from conventional to organic farming: a comparison among three rice production systems in Japan , 2012 .

[26]  Semida Silveira,et al.  Analysis of energy use and CO2 emission in service industries: Evidence from Sweden , 2012 .

[27]  C. Kessel,et al.  Fertilizer management practices and greenhouse gas emissions from rice systems: A quantitative review and analysis , 2012 .

[28]  Asad Sarwar Qureshi,et al.  Reducing carbon emissions through improved irrigation and groundwater management: A case study from Iran , 2012 .

[29]  Francesco Cherubini,et al.  GHG balances of bioenergy systems – Overview of key steps in the production chain and methodological concerns , 2010 .

[30]  Shahin Rafiee,et al.  Energy and economic analysis of rice production under different farm levels in Guilan province of Iran , 2011 .

[31]  C. Kessel,et al.  An agronomic assessment of greenhouse gas emissions from major cereal crops , 2012 .

[32]  Sanderine Nonhebel,et al.  Energy use efficiency and greenhouse gas emissions of farming systems in north Iran , 2014 .

[33]  Scott Duncan,et al.  A survey of unresolved problems in life cycle assessment , 2008 .

[34]  K. Brandt,et al.  Effects of alternating wetting and drying versus continuous flooding on fertilizer nitrogen fate in rice fields in the Mekong Delta, Vietnam , 2012 .

[35]  Joe Zhu,et al.  Super-efficiency infeasibility and zero data in DEA , 2012, Eur. J. Oper. Res..

[36]  T. Adhya,et al.  Methane Emission from Rice Fields at Cuttack, India , 2000, Nutrient Cycling in Agroecosystems.

[37]  G. Blengini,et al.  The life cycle of rice: LCA of alternative agri-food chain management systems in Vercelli (Italy). , 2009, Journal of environmental management.

[38]  Maria Teresa Moreira,et al.  Combined application of life cycle assessment and data envelopment analysis as a methodological approach for the assessment of fisheries , 2010 .

[39]  Shang-Shyng Yang,et al.  Estimation of methane and nitrous oxide emissions from paddy fields in Taiwan , 2009 .

[40]  Gumersindo Feijoo,et al.  Joint life cycle assessment and data envelopment analysis of grape production for vinification in the Rías Baixas appellation (NW Spain) , 2012 .

[41]  A. Soltani,et al.  Energy inputs and greenhouse gases emissions in wheat production in Gorgan, Iran , 2013 .

[42]  Takeo Shiina,et al.  Life cycle of rice: Challenges and choices for Bangladesh , 2007 .

[43]  Lianqing Li,et al.  Effect of biochar amendment on yield and methane and nitrous oxide emissions from a rice paddy from Tai Lake plain, China. , 2010 .

[44]  Carsten Schulz,et al.  Sustainability assessment tools to support aquaculture development , 2012 .

[45]  Tommy Dalgaard,et al.  Potential greenhouse gas emission reductions in soybean farming: a combined use of Life Cycle Assessment and Data Envelopment Analysis , 2013 .

[46]  S J T Pollard,et al.  Better environmental decision making - recent progress and future trends. , 2008, The Science of the total environment.

[47]  Shahin Rafiee,et al.  Assessing the technical efficiency of energy use in different barberry production systems , 2012 .

[48]  S. Rafiee,et al.  Improving energy use efficiency of canola production using data envelopment analysis (DEA) approach , 2011 .