IDEAS home Printed from https://ideas.repec.org/a/ibn/jasjnl/v12y2024i7p118.html
   My bibliography  Save this article

Eco-efficiency Assessment in Agriculture: A Literature Review Focused on Methods and Indicators

Author

Listed:
  • Luis H. Suzigan
  • Carlos Rosano Peña
  • Patricia Guarnieri

Abstract

Combining economic performance with environmental and social concern has been a developing topic in recent decades. Eco-efficiency analysis is a widely applied tool to assess the efficiency of agricultural systems, while increasingly considering their environmental and social impact. The main objective of this article is to accomplish a literature review on the application of eco-efficiency analysis in agricultural systems, focusing on methods and indicators that are most regarded for the quantitative assessment of agricultural eco-efficiency. The literature review found two main methods most widely applied to assess eco-efficiency- Life Cycle Assessment (LCA) and Data Envelopment Analysis (DEA), which are often combined. LCA is generally focused on the assessment of the environmental impacts of products and practices. DEA is mostly used to measure the eco-efficiency of decision-making units, such as farms, regions, or countries, and has no subjective focus on neither technical nor environmental performance. Both methods share a wide range of economic and environmental indicators but fail to incorporate the social dimension of sustainability into the eco-efficiency analysis. A simple framework, based on Data Envelopment Analysis, is offered to assess the eco-efficiency of the Brazilian agriculture, aiming at identifying the benefits and limitations of the analysis.

Suggested Citation

  • Luis H. Suzigan & Carlos Rosano Peña & Patricia Guarnieri, 2024. "Eco-efficiency Assessment in Agriculture: A Literature Review Focused on Methods and Indicators," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 12(7), pages 118-118, April.
    • Handle: RePEc:ibn:jasjnl:v:12:y:2024:i:7:p:118
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/jas/article/download/0/0/43037/45029
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/jas/article/view/0/43037
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Regina Negri Pagani & João Luiz Kovaleski & Luis Mauricio Resende, 2015. "Methodi Ordinatio: a proposed methodology to select and rank relevant scientific papers encompassing the impact factor, number of citation, and year of publication," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2109-2135, December.
    2. Jiaxing Pang & Xingpeng Chen & Zilong Zhang & Hengji Li, 2016. "Measuring Eco-Efficiency of Agriculture in China," Sustainability, MDPI, vol. 8(4), pages 1-15, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Carolinne Secco & Maria Eduarda Kounaris Fuziki & Angelo Marcelo Tusset & Giane Gonçalves Lenzi, 2023. "Reactive Processes for H 2 S Removal," Energies, MDPI, vol. 16(4), pages 1-14, February.
    2. Marcela Marçal Alves Pinto & João Luiz Kovaleski & Rui Tadashi Yoshino & Regina Negri Pagani, 2019. "Knowledge and Technology Transfer Influencing the Process of Innovation in Green Supply Chain Management: A Multicriteria Model Based on the DEMATEL Method," Sustainability, MDPI, vol. 11(12), pages 1-33, June.
    3. Marcia Sierdovski & Luiz Alberto Pilatti & Priscila Rubbo, 2022. "Organizational Competencies in the Development of Environmental, Social, and Governance (ESG) Criteria in the Industrial Sector," Sustainability, MDPI, vol. 14(20), pages 1-20, October.
    4. Patrícia Guarnieri & Raiane C. C. de Aguiar & Karim M. Thomé & Eluiza Alberto de Morais Watanabe, 2021. "The Role of Logistics in Food Waste Reduction in Wholesalers and Small Retailers of Fruits and Vegetables: A Multiple Case Study," Logistics, MDPI, vol. 5(4), pages 1-15, November.
    5. Cristina Bianca Pocol & Liana Stanca & Dan-Cristian Dabija & Veronica Câmpian & Sergiu Mișcoiu & Ioana Delia Pop, 2023. "A QCA Analysis of Knowledge Co-Creation Based on University–Industry Relationships," Mathematics, MDPI, vol. 11(2), pages 1-19, January.
    6. Flávio Mattos & João Luiz Calmon, 2023. "Social Life Cycle Assessment in Municipal Solid Waste Management Systems with Contribution of Waste Pickers: Literature Review and Proposals for New Studies," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
    7. Chia-Nan Wang & Hong-Xuyen Thi Ho & Shih-Hsiung Luo & Tsung-Fu Lin, 2017. "An Integrated Approach to Evaluating and Selecting Green Logistics Providers for Sustainable Development," Sustainability, MDPI, vol. 9(2), pages 1-21, February.
    8. Blandy Pamplona Solis & Julio César Cruz Argüello & Leopoldo Gómez Barba & Mayra Polett Gurrola & Zakaryaa Zarhri & Danna Lizeth TrejoArroyo, 2019. "Bibliometric Analysis of the Mass Transport in a Gas Diffusion Layer in PEM Fuel Cells," Sustainability, MDPI, vol. 11(23), pages 1-18, November.
    9. Vilker Zucolotto Pessin & Luciana Harue Yamane & Renato Ribeiro Siman, 2022. "Smart bibliometrics: an integrated method of science mapping and bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3695-3718, June.
    10. Marco Antonio Cruz-Morato & Josefa García-Mestanza & Carmen Dueñas-Zambrana, 2021. "Special Employment Centres, Time Factor and Sustainable Human Resources Management in Spanish Hotel Industry: Can Corporate Social Marketing Improve the Labour Situation of People with Disabilities?," Sustainability, MDPI, vol. 13(19), pages 1-24, September.
    11. Layanne Nara Parente Cardoso & Karla Danyelle de Oliveira Miranda & Ednael Francisco Vieira da Silva & Patricia Guarnieri & José Leão e Silva Filho & Lúcio Camara e Silva, 2023. "E-Waste Management: An Analysis under the Perspective of Conflicts and Shared Responsibility," Logistics, MDPI, vol. 7(4), pages 1-16, October.
    12. Marlena Gołaś & Piotr Sulewski & Adam Wąs & Anna Kłoczko-Gajewska & Kinga Pogodzińska, 2020. "On the Way to Sustainable Agriculture—Eco-Efficiency of Polish Commercial Farms," Agriculture, MDPI, vol. 10(10), pages 1-24, September.
    13. Asghar, Sobia & Tsusaka, Takuji W. & Jourdain, Damien & Saqib, Shahab E. & Sasaki, Nophea, 2022. "Assessing the efficiency of smallholder sugarcane production: The case of Faisalabad, Pakistan," Agricultural Water Management, Elsevier, vol. 269(C).
    14. Guofeng Wang & Rui Shi & Lingchen Mi & Jinmiao Hu, 2022. "Agricultural Eco-Efficiency: Challenges and Progress," Sustainability, MDPI, vol. 14(3), pages 1-23, January.
    15. Jovani Taveira de Souza & Antonio Carlos de Francisco & Cassiano Moro Piekarski & Guilherme Francisco do Prado, 2019. "Data Mining and Machine Learning to Promote Smart Cities: A Systematic Review from 2000 to 2018," Sustainability, MDPI, vol. 11(4), pages 1-14, February.
    16. Rodrigo Salvador & Murillo Vetroni Barros & Guilherme Francisco do Prado & Regina Negri Pagani & Cassiano Moro Piekarski & Antonio Carlos de Francisco, 2021. "Knowledge and technology transfer in sustainability reports: Fomenting stakeholder engagement for sustainable development," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(1), pages 251-264, January.
    17. Jorge Alfredo Cerqueira-Streit & Gustavo Yuho Endo & Patricia Guarnieri & Luciano Batista, 2021. "Sustainable Supply Chain Management in the Route for a Circular Economy: An Integrative Literature Review," Logistics, MDPI, vol. 5(4), pages 1-21, November.
    18. Patricia Guarnieri & Lucio Camara e Silva & Bárbara de Oliveira Vieira, 2020. "How to Assess Reverse Logistics of e-Waste Considering a Multicriteria Perspective? A Model Proposition," Logistics, MDPI, vol. 4(4), pages 1-31, October.
    19. Warley Henrique Silva & Patricia Guarnieri & José Márcio Carvalho & Josivania Silva Farias & Silvia Araújo dos Reis, 2019. "Sustainable Supply Chain Management: Analyzing the Past to Determine a Research Agenda," Logistics, MDPI, vol. 3(2), pages 1-15, April.
    20. Wei Cheng & Dejun Zheng & Shaoxiong Fu & Jingfeng Cui, 2024. "Closer in time and higher correlation: disclosing the relationship between citation similarity and citation interval," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4495-4512, July.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:jasjnl:v:12:y:2024:i:7:p:118. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.