Assessment of greenhouse gas emissions in winter wheat farms using data envelopment analysis approach

• Autorzy: Syp A. , Faber A. , Borzecka-Walker M. , Osuch D.
• Języki publikacji: EN

Abstrakty

EN

Data envelopment analysis (DEA) has been recognized as a suitable tool for efficiency assessment of the economic and environmental performance of multiple similar units in the agri-food sector. In the present study, DEA methodologies were applied to 55 winter wheat farms in three farm sizes in Poland to benchmark the level of operational efficiency for each producer. Next, the potential reduction in the consumption levels of inputs were defined, and the environmental profits linked to these reduction targets were calculating. Our results indicate that 55% of the analysed farms operated efficiently. The technical efficiency scores of inefficient farms were 0.72 for small farms and 0.84 for medium and large ones. The production of 1 kg winter wheat results with average greenhouse gas (GHG) emissions of 0.448, 0.481, and 0.411 kg CO₂ eq. per kg of grain, for small, medium, and large farms, respectively. The performed analysis shows that GHG emissions per hectare depend on farm size and ranged from 2,378 kg CO₂ eq. for the small farms to 2,759 kg CO₂ eq. for large farms. The reduction of material input in inefficient farms, converted into environmental gains, resulted in GHG emissions reduction of 25.7, 29.0, and 28.6% for small, medium, and large farms, respectively. The estimated potential reduction of global warming potential (GWP) according to the DEA for the whole sample ranged from 7 to 18%, and was dependent on farm size. The major contributor to GWP was nitrous oxide field emissions (49-52%), followed by nitrogen fertilizer (31-33%), and diesel (11-13%). Raising operational efficiency is recommended for potential environmental improvement in the surveyed region.

• Wydawca: -
• Czasopismo: Polish Journal of Environmental Studies
• Rocznik: 2015
• Tom: 24
• Numer: 5
• Opis fizyczny: p.2197-2203,ref.

Twórcy

autor

Syp A.

• Department of Agrometorology and Applied Informatics, Institute of Soil Science and Plant Cultivation – State Research Institute, Czartoryskich 8, 24-100 Pulawy, Poland

autor

Faber A.

• Department of Agrometorology and Applied Informatics, Institute of Soil Science and Plant Cultivation – State Research Institute, Czartoryskich 8, 24-100 Pulawy, Poland

autor

Borzecka-Walker M.

• Department of Agrometorology and Applied Informatics, Institute of Soil Science and Plant Cultivation – State Research Institute, Czartoryskich 8, 24-100 Pulawy, Poland

autor

Osuch D.

• Agricultural Accountancy Department, Institute of Agricultural and Food Economics – National Research Institute, Swietokrzyska 20, 00-002 Warsaw, Poland

Bibliografia

• 1. FAO. FAO Statistical Yearbook − World food and agriculture. Food and Agriculture Organization of the United Nations, Rome. 2013.
• 2. CSO. Statistical yearbook of agriculture. Central Statistical Office, Warsaw. 2013.
• 3. SYP A., FABER A., BORZĘCKA WALKER M. Simulation of soil organic carbon in long-term experiments in Poland using the DNDC model. J. Food Agric. Environ. 10, (3-4), 1224, 2012.
• 4. FAO. Food and nutrition in numbers. FAO, Rome. 2014.
• 5. HUERTA J.H., ALVEAR E.M., NAVARRO R.M. Evaluation of two production methods of Chilean wheat by life cycle assessment (LCA). IDESIA. 30, 101, 2012.
• 6. CHARNES A., COOPER W.W., RHODES E. Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2, 429, 1978.
• 7. COOPER W.W., SEIFORD L.M., KAORU T. Introduction to Data Envelopment Analysis and Its Uses. New York. 2006.
• 8. KOEIJER T.J., WOSSINK G.A.A., STRUIK P.C., RENKEMA J.A. Measuring agricultural sustainability in term of efficiency: the case of Dutch suger beet growers. J. Environ. Manage. 66, 9, 2002.
• 9. MALANA M.N., MALANO M.H. Benchmarking productive efficiency of selected wheat areas in Pakistan and India using data envelopment ananlysis. Irrigation and Drainage, 55, 383, 2006.
• 10. BOLANDNAZAR E., KEYHANI A., OMID M. Determination of efficient and inefficient greenhouse cucumber producers using Data Envelopment Analysis approach, a case study: Jiroft city in Iran. J. Clean Prod. 79, 108, 2014.
• 11. KANELLOPOULOS A., REIDSMA P., WOLF J., VAN ITTERSUM M.K. Assessing climate change and associated socio-economic scenarios for arable farming in the Netherlands: An application of benchmarking and bio-economic farm modelling. Eur. J. Agron. 52, 69, 2014.
• 12. MOHAMMADI A., RAFIEE S., JAFARI A., DALGAARD T., KNUDSEN M.T., KEYHANI A., MOUSAVI-AVVAL S.H., HERMANSEN J.E. Potential greenhouse gas emission reductions in soybean farming: a combined use of Life Cycle Assessment and Data Envelopment Analysis. J. Clean Prod. 54, 89, 2013.
• 13. BANAEIAN N., OMID M., AHMADI H. Improvment of cost efficiency in strawberry greenhouse by data envelopment analysis. Agicultura Tropica et Subtropica, 44, 144, 2011.
• 14. FORSTER P., RAMASWAMY V., ARTAXO P., BERNTSEN T., BETTS R., FAHEY D.W., HAYWOOD J., LEAN J., LOWE D.C., MYHRE G., NGANGA J., PRINN R., RAGA G., SCHULZ M., VAN DORLAND R. Changes in Atmospheric Constituents and in Radiative Forcing. In: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [S. Solomon, D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor and H.L. Miller (Eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA. 2007.
• 15. BIOGRACE. BioGrace calculation rules – version 4c. http://biograce.net/home, 2012
• 16. MOUDRÝ JR. J., JELÍNKOVÁ Z., PLCH R., MOUDRÝ J., KONVALINA P., HYŠPLER R. The emissions of greenhouse gases produced during growing and processing of wheat products in the Czech Republic. J Food Agric Environ. 11, (1), 1133, 2013.
• 17. BERRY P.M., KINDRED D.R., OLESEN J.E., JORGENSEN L.N., PAVELEY N.D. Quantifying the effect of interactions between disease control, nitrogen supply and land use change on the greenhouse gas emissions associated with wheat production. Plant Pathol. 59, 753, 2010.
• 18. KHOSHNEVISAN B., RAFIEE S., OMID M., YOUSEFI M., MOVAHEDI M. Modeling of energy consumption and GHG (greenhouse gas) emissions in wheat production in Esfahan province of Iran using artificial neural networks. Energy, 52, 333, 2013.
• 19. VASILIEV N., ASTOVER A., MÕTTE M., NOORMETS M., REINTAM E., ROOSTALU H. Efficiency of Estonian grain farms in 2000-2004. Agr. Food Sci. 17, 31, 2008.
• 20. MOHAMMADI A., RAFIEE S., JAFARI A., KEYHANI A., DALGAARD T., KNUDSEN M.T., NGUYEN T.L.T., BOREK R., HERMANSEN J.E. Joint Life Cycle Assessment and Data Envelopment Analysis for the benchmarking of environmental impacts in rice paddy production. J Clean Prod. 2014. http://dx.doi.org/10.1016/j.jclepro.2014.05.008
• 21. MOUSAVI-AVVAL S.H., RAFIEE S., MOHAMMAD A. Optimization of energy consumption and input costs for apple production in Iran using data envelopment analysis. Energy. 36, 909, 2011.

Identyfikatory

DOI

10.15244/pjoes/39682