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Green productivity and undesirable outputs in agriculture: a systematic review of DEA approach and policy recommendations

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  • Justas Streimikis
  • Mahyar Kamali Saraji

Abstract

Measuring efficiency in the presence of undesirable outputs could be difficult depending on how to treat these outputs; thus, undesirable outputs modelling has been an exciting subject of several studies in the Data envelopment analysis (DEA) literature in the last two decades. The present study aims to illustrate a thorough overlook of studies in which DEA has applied for measuring efficiency with undesirable outputs. Fifty-eight articles were published from 2000 to 2020 have been systematically reviewed through PRISMA protocol. The results indicated that "Journal of Cleaner Production" ranked first with six published articles, and Chinese scholars have the most contributions to this field, with twenty-third articles. Also, almost a quarter of the published articles' scope was related to agricultural pollution, and thirteen articles were published in 2016, the highest number of published articles annually. Taken together, the theoretical and empirical implications of research in the field of Green Productivity are discussed, and some policies were recommended.

Suggested Citation

  • Justas Streimikis & Mahyar Kamali Saraji, 2022. "Green productivity and undesirable outputs in agriculture: a systematic review of DEA approach and policy recommendations," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 35(1), pages 819-853, December.
    • Handle: RePEc:taf:reroxx:v:35:y:2022:i:1:p:819-853
    DOI: 10.1080/1331677X.2021.1942947
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    Citations

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    Cited by:

    1. Nicolae Bobitan & Diana Dumitrescu & Valentin Burca, 2023. "Agriculture’s Efficiency in the Context of Sustainable Agriculture—A Benchmarking Analysis of Financial Performance with Data Envelopment Analysis and Malmquist Index," Sustainability, MDPI, vol. 15(16), pages 1-27, August.
    2. Steliana Rodino & Ruxandra Pop & Cristina Sterie & Andreea Giuca & Eduard Dumitru, 2023. "Developing an Evaluation Framework for Circular Agriculture: A Pathway to Sustainable Farming," Agriculture, MDPI, vol. 13(11), pages 1-24, October.
    3. Tomasz Żyłowski & Jerzy Kozyra, 2023. "Crop Cultivation Efficiency and GHG Emission: SBM-DEA Model with Undesirable Output Approach," Sustainability, MDPI, vol. 15(13), pages 1-18, July.
    4. Gupta, Anshu & Pachar, Nomita & Jain, Akansha & Govindan, Kannan & Jha, P.C., 2023. "Resource reallocation strategies for sustainable efficiency improvement of retail chains," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    5. Kamali Saraji, Mahyar & Aliasgari, Elahe & Streimikiene, Dalia, 2023. "Assessment of the challenges to renewable energy technologies adoption in rural areas: A Fermatean CRITIC-VIKOR approach," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    6. Chenghan Guo & Rong Zhang & Yuntao Zou, 2023. "The Efficiency of China’s Agricultural Circular Economy and Its Influencing Factors under the Rural Revitalization Strategy: A DEA–Malmquist–Tobit Approach," Agriculture, MDPI, vol. 13(7), pages 1-26, July.
    7. Mergoni, Anna & Dipierro, Anna Rita & Colamartino, Chiara, 2024. "European agricultural sector: The tortuous path across efficiency, sustainability and environmental risk," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).

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