Energy efficiency and congestion considering data envelopment analysis and bounded adjusted measure: A case of tomato production

Abstract

Auditing energy usage of farming operations is a key step towards agricultural sustainability. The current systems of tomato production use a considerable quantity of energy. As a result, improving energy efficiency is a crucial stage in decreasing energy consumption in tomato production. Data envelopment analysis (DEA) model is an established methodology to assess energy efficiency in crop production. In this study, the bounded adjusted measure (BAM) is applied for improving the efficiency of tomato production as well as decreasing the carbon footprint. In this regard, the overall, environmental, production, and pure emission efficiency of tomato production in 24 provinces of Iran are investigated. The nine overall efficient tomato producing provinces recognized that showed they had no input excesses and/or output shortfalls. Also, similar to the overall efficiency, nine out of the 24 DMUs were recognized as environmental, production, and pure emission efficient. Finally, in order to measure the probable amounts of excessive investments in inputs, with the aim of obtaining more outputs, a new approach of determining congestion is proposed based on BAM model.

Publication DOI: https://doi.org/10.1016/j.jclepro.2021.129639
Divisions: College of Business and Social Sciences > Aston Business School > Operations & Information Management
College of Business and Social Sciences > Aston Business School
Additional Information: © 2021, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Uncontrolled Keywords: Bounded adjusted measure (BAM),Congestion,Data envelopment analysis (DEA),Energy efficiency,Tomato production,Renewable Energy, Sustainability and the Environment,Environmental Science(all),Strategy and Management,Industrial and Manufacturing Engineering
Publication ISSN: 1879-1786
Full Text Link:
Related URLs: https://linking ... 959652621038178 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2021-12-15
Published Online Date: 2021-11-09
Accepted Date: 2021-11-06
Authors: Khoshroo, Alireza
Izadikhah, Mohammad
Emrouznejad, Ali (ORCID Profile 0000-0001-8094-4244)

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Version: Accepted Version

Access Restriction: Restricted to Repository staff only until 9 November 2022.

License: Creative Commons Attribution Non-commercial No Derivatives


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