Izvorni znanstveni članak
https://doi.org/10.1080/1331677X.2021.1942947
Green productivity and undesirable outputs in agriculture: a systematic review of DEA approach and policy recommendations
Justas Streimikis
Mahyar Kamali Saraji
Sažetak
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.
Ključne riječi
Data envelopment analysis (DEA); undesirable outputs; green agricultural productivity; agricultural efficiency; environmental policies
Hrčak ID:
302023
URI
Datum izdavanja:
31.3.2023.
Posjeta: 292 *