(Eco)efficiency in food production: a systematic review of the literature

Keywords: Agribusiness, DEA, MethodiOrdinatio, SFA

Abstract

A systematic review of the literature on (eco)efficiency of agricultural and cattle raising was undertaken. MethodiOrdinatio filtered 100 articles from databases Science Direct and Web of Science, of which 69 articles were analyzed in depth to elucidate main approaches, variables and methods in studies on agriculture and cattle raising. Results revealed that 14% of the articles were published by the Journal of Cleaner Production and revealed its representativity and importance for the debate on current issue. Within the main approaches and in accordance to the acknowledgement of the environmental degradation capacity of agriculture and cattle raising, there was a significant growth in (eco)efficiency studies. The review of the literature showed that in 75% of the articles, research method was Data Envelopment Analysis (DEA) or Stochastic Frontier Analysis (SFA). The addition of a second stage, or rather, the employment of DEA, showed the relevance of analyzing the influence of non-controllable factors in (eco)efficiency in agriculture and cattle raising.

Author Biographies

João Vitor Borges da Silva, Universidade Católica de Brasília - UCB
Doutorando do Programa de Pós-Graduação em Economia da Universidade Católica de Brasília (UCB), Brasília (DF), Brasil.
Karim, Universidade de Brasília - UnB
Docente do Programa de Pós-Graduação em Agronegócios da Universidade de Brasília (UnB), Brasília (DF), Brasil.

References

ADENUGA, A. H. et al. Modelling regional environmental efficiency differentials of dairy farms on the island of Ireland. Ecological Indicators, 95, p. 851-861, 2018. doi:10.1016/j.ecolind.2018.08.040

ANGULO-MEZA, L. et al. A multiobjective dea model to assess the eco-efficiency of agricultural practices within the cf+dea method. Computers and Electronics in Agriculture, v. 161, p. 151-161, 2019. DOI:10.1016/j.compag.2018.05.037

ARAÚJO, H. F. P. et al. A sustainable agricultural landscape model for tropical drylands. Land Use Policy, v. 100, 2021. DOI: 10.1016/j.landusepol.2020.104913

AREAL, F. J. et al. Measuring sustainable intensification: Combining composite indicators and efficiency analysis to account for positive externalities in cereal production. Land Use Policy, v. 75, p. 314-326, 2018.

ARSHAD, M. et al. Climatic variability and thermal stress in pakistan’s rice and wheat systems: A stochastic frontier and quantile regression analysis of economic efficiency. Ecological Indicators, v. 89, p. 496-506, 2018. DOI: 10.1016/j.ecolind.2017.12.014

ATICI, K. B.; PODINOVSKI, V. V. Using data envelopment analysis for the assessment of technical efficiency of units with different specialisations: An application to agriculture. Omega, v. 54, p. 72-83, 2015. DOi: 10.1016/j.omega.2015.01.015

BERRE, D. et al. Thinking beyond agronomic yield gap: Smallholder farm efficiency under contrasted livelihood strategies in malawi. Field Crops Research, v. 214, p. 113-122, 2017. DOI: 10.1016/j.fcr.2017.08.026

CAMPOS, S. A. C. et al. (Eco)eficiência e custos associados à adequação ambiental para produção láctea em Minas Gerais. Organizações Rurais & Agroindustriais, v. 16, n. 3, p. 324-342, 2014. Disponível em: https://ideas.repec.org/a/ags/orarao/262739.html. Acesso em: 03 jun. 2019

CRONIN, P.; RYAN, F.; COUGHLAN, M. Undertaking a literature review: A step-by-step approach. British journal of nursing, v. 17, p. 38-43, 01 2008. DOi: 10.12968/bjon.2008.17.1.28059

DENG, X.; GIBSON, J. Improving eco-efficiency for the sustainable agricultural production: A case study in Shandong, China. Technological Forecasting and Social Change, v. 144, p. 394-400, 2019. DOI: 10.1016/j.techfore.2018.01.027

FAO - The Food And Agriculture Organization Of The United Nations. The State of Food and Agriculture: migration, agriculture and rural development, 2018. Disponível em: http://www.fao.org/state-of-food-agriculture/en/. Acesso em: 03 jun. 2019.

FASSIO, L. H. et al. Custos e shut-down point da atividade leiteira em Minas Gerais. Revista de Economia e Sociologia Rural, v. 43, n. 4, p. 759-777, 2006. DOI: 10.1590/S0103-20032005000400007

HUY, H. T.; NGUYEN, T. T. Cropland rental market and farm technical efficiency in rural Vietnam. Land Use Policy, v. 81, p. 408-423, 2019. DOI: 10.1016/j.landusepol.2018.11.007

IVANIC, M.; MARTIN, W. Sectoral productivity growth and poverty reduction: national and global impacts. World Development, v. 109, p. 429-439, 2018. DOI: 10.1016/j.worlddev.2017.07.004

KANSIIME, M. K.; ASTEN, P. VAN; SNEYERS, K. Farm diversity and resource use efficiency: Targeting agricultural policy interventions in east Africa farming systems. NJAS - Wageningen Journal of Life Sciences, 2017. DOI: 10.1016/j.njas.2017.12.001

KARUNARATHNA, M.; WILSON, C. Agricultural biodiversity and farm level technical efficiency: An empirical investigation. Journal of Forest Economics, v. 29, p. 38-46, 2017. DOI: 10.1016/j.jfe.2017.08.002

KUHN, L. et al. Technical and environmental efficiency of livestock farms in China: A slacks-based dea approach. China Economic Review, 2018. DOI: 10.1016/j.chieco.2018.08.009

MA, W. et al. Agricultural cooperative membership and technical efficiency of apple farmers in China: An analysis accounting for selectivity bias. Food Policy, Elsevier Science, 2018. DOI: 10.1016/j.foodpol.2018.10.009

MASUDA, K. Measuring eco-efficiency of wheat production in Japan: a combined application of life cycle assessment and data envelopment analysis. Journal of Cleaner Production, v. 126, p. 373-381, 2016. DOI: 10.1016/j.jclepro.2016.03.090

MU, W. et al. Assessing the impact of uncertainty on benchmarking the eco-efficiency of dairy farming using fuzzy data envelopment analysis. Journal of Cleaner Production, v. 189, p. 709-717, 2018. DOI: 10.1016/j.jclepro.2018.04.091

PAGANI, R. N.; KOVALESKI, J. L.; RESENDE, L. M. Method iordinatio: a proposed methodology to select and rank relevant scientific papers encompassing the impact factor, number of citation, and year of publication. Scientometrics, v. 105, n. 3, p. 2109-2135, 2015. DOI: 10.1007/s11192-015-1744-x

PAULA, I. C. D. et al. Are collaboration and trust sources for innovation in the reverse logistics? Insights from a systematic literature review. Supply Chain Management: An International Journal, Emerald Publishing Limited, 2019. DOI: 10.1108/SCM-03-2018-0129

PEÑA, C. et al. Environmental preservation costs and eco-efficiency in Amazonian agriculture: Application of hyperbolic distance functions. Journal of Cleaner Production, v. 197, p. 699-707, 2018.

SILVA, W. H. et al. Sustainable supply chain management: Analyzing the past to determine a research agenda. Logistics, Multidisciplinary Digital Publishing Institute, v. 3, n. 2, p. 14, 2019. DOI: 10.3390/logistics3020014

SEYMOUR, G. Women’s empowerment in agriculture: Implications for technical efficiency in rural Bangladesh. Agricultural Economics, v. 48, n. 4, p. 513-522, 2017. DOI: 10.1111/agec.12352

TOMA, P. et al. A non-parametric bootstrap-data envelopment analysis approach for environmental policy planning and management of agricultural efficiency in EU countries. Ecological Indicators, v. 83, p. 132-143, 2017. DOI: 10.1016/j.ecolind.2017.07.049

ULLAH, A. et al. Eco-efficiency of cotton-cropping systems in Pakistan: an integrated approach of life cycle assessment and data envelopment analysis. Journal of Cleaner Production, v. 134, p. 623-632, 2016. DOI: 10.1016/j.jclepro.2015.10.112

WANG, N. et al. Efficiency analysis of grain production inputs: Utilization in China from an agricultural sustainability perspective. Agricultural Research, v. 7, n. 1, 2018. DOI: 10.1007/s40003-018-0293-y

WBSCD - World Business Council For Sustainable Development. Measuring Eco-efficiency: a guide to reporting company performance, 2000. Disponível em: http://www.gdrc.org/sustbiz/wbcsd.html. Acesso em: 03 jun. 2019.

WORLD BANK. Agriculture, forestry, and fishing, value added (% of GDP). 2016. Disponível em: https://data.worldbank.org/indicator/NV.AGR.TOTL.ZS. Acesso em: 03 jun. 2019.

ZHANG, B. et al. Eco-efficiency analysis of industrial system in China: A data envelopment analysis approach. Ecological Economics, v. 68, n. 1, p. 306-316, 2008. DOI: 10.1016/j.ecolecon.2008.03.009

ZULFIQAR, F.; DATTA, A.; THAPA, G. B. Determinants and resource use efficiency of “better cotton”: An innovative cleaner production alternative. Journal of Cleaner Production, v. 166, p. 1372-1380, 2017. DOI: 10.1016/j.jclepro.2017.08.155

Published
2021-06-28
Section
Agrobusiness