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Emergy Analysis of Maize Production in Ghana

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Important usage condition: Use and redistribution are governed by CC BY-SA 4.0. Review and comply with the license before using the data.
Persistent identifier
doi:10.60507/FK2/EPR96Z
Published version
1.0
Publication date
2023-09-18
License
CC BY-SA 4.0

Description

The data file entitled “Emergy analysis of maize production in Ghana” is based on an empirical study to assess the resource as well as energy use efficiency of maize production systems using the Emergy-Data Envelopment Analysis approach, which was developed within the context of the BiomassWeb Project. The study area was Bolgatanga and Bongo Districts, Ghana, sub-Saharan Africa. The approach was developed by coupling Emergy Analysis and Data Envelopment Analysis methods into a framework, and integrating the concept of eco-efficiency into the framework to assess the resource as well as energy use efficiency and sustainability of agroecosystems as a whole. In this data file, the Emergy Analysis method is applied to achieve enviromental and economic accounting of maize production systems in Ghana. The Agricultural Production Systems sIMulator (APSIM) was used to model five maize-based production scenarios as follows: 1. Extensive rainfed maize system if the external input is 0 kg/ha/yr urea, with/ without manure (Extensive0). 2. Extensive rainfed maize system if the external input is 12 kg/ha/yr NPK, with/ without manure (Extensive12). 3. Rainfed maize-legume (cowpea - Vigna unguiculata, soybean - Glycine max, or groundnut - Arachis hypogaea) intercropping system if the external input is 20 kg/ha/yr urea, with/ without manure (Intercrop20). 4. Intensive maize system if the external input is 50 kg/ha/yr urea, including supplemental irrigation (Intensive50). 5. Intensive maize system if the external input is 100 kg/ha/yr urea, including supplemental irrigation (Intensive100). The five scenarios were compared on the basis of the evaluation that was achieved using the Emergy Analysis to account for resource as well as energy use efficiency and sustainability. The data were processed using mathemathical functions in Microsoft Excel. The data file is organized in seven sheet tabs, and they are linked. Comments have been added to make the content self-explanatory. Where secondary data have been used, the sources have been cited. This data file was authored by Mwambo, Francis Molua.

Creators

Keywords

emergy analysis, maize production, environmental and economic accounting, resource use efficiency, energy use efficiency, agricultural sustainability, farming, environment

Files

Before downloading: Use and redistribution are governed by CC BY-SA 4.0. Review and comply with the license before using the data.
FileTypeBytesChecksum
metadata.xmltext/xml23023MD5 f125f03e7991c131b3d7a7fa04c4eff9
proj_BiomassWEB.pngimage/png8538MD5 e9c4a0d8be3dd540418d726da628a877
type_datasets.pngimage/png7086MD5 5414abd839cc504aac2dbdc5aeec35d0
ZEF_agr_emergy-analysis-maize-production-systems_ghana.xlsapplication/vnd.ms-excel190976MD5 79789d395bed39e115cc6153dd44ebb4

Citation

Francis Molua Mwambo, 2023-09-18, Emergy Analysis of Maize Production in Ghana, doi:10.60507/FK2/EPR96Z, V1.0

Additional Dataverse fields

Id88
Dataset Typedataset
Internal Version Number9
Latest Version Publishing StateRELEASED
Deaccession LinkNot supplied
Release Time2023-09-18T10:38:33Z
Create Time2023-09-18T08:57:29Z
Citation Date2023-09-18
File Access RequestTrue

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Complete Dataverse metadata

Citation Metadata

Title title
Emergy Analysis of Maize Production in Ghana
Other Id otherId
  1. Other Id Agency
    ZEF Data Portal
    Other Id Value
    0b40d479-d6dd-41e0-abd9-cc7e8e2a4240
Author author
  1. Author Name
    Francis Molua Mwambo
    Author Affiliation
    Center for Development Research, Department Ecology and Natural Resources Management (ZEF C), University of Bonn
Dataset Contact datasetContact
  1. Dataset Contact Name
    Francis Molua Mwambo
    Dataset Contact Affiliation
    Center for Development Research, Department Ecology and Natural Resources Management (ZEF C), University of Bonn
    Dataset Contact Email
    mwmwambof@googlemail.com
Ds Description dsDescription
  1. Ds Description Value
    The data file entitled “Emergy analysis of maize production in Ghana” is based on an empirical study to assess the resource as well as energy use efficiency of maize production systems using the Emergy-Data Envelopment Analysis approach, which was developed within the context of the BiomassWeb Project. The study area was Bolgatanga and Bongo Districts, Ghana, sub-Saharan Africa. The approach was developed by coupling Emergy Analysis and Data Envelopment Analysis methods into a framework, and integrating the concept of eco-efficiency into the framework to assess the resource as well as energy use efficiency and sustainability of agroecosystems as a whole. In this data file, the Emergy Analysis method is applied to achieve enviromental and economic accounting of maize production systems in Ghana. The Agricultural Production Systems sIMulator (APSIM) was used to model five maize-based production scenarios as follows: 1. Extensive rainfed maize system if the external input is 0 kg/ha/yr urea, with/ without manure (Extensive0). 2. Extensive rainfed maize system if the external input is 12 kg/ha/yr NPK, with/ without manure (Extensive12). 3. Rainfed maize-legume (cowpea - Vigna unguiculata, soybean - Glycine max, or groundnut - Arachis hypogaea) intercropping system if the external input is 20 kg/ha/yr urea, with/ without manure (Intercrop20). 4. Intensive maize system if the external input is 50 kg/ha/yr urea, including supplemental irrigation (Intensive50). 5. Intensive maize system if the external input is 100 kg/ha/yr urea, including supplemental irrigation (Intensive100). The five scenarios were compared on the basis of the evaluation that was achieved using the Emergy Analysis to account for resource as well as energy use efficiency and sustainability. The data were processed using mathemathical functions in Microsoft Excel. The data file is organized in seven sheet tabs, and they are linked. Comments have been added to make the content self-explanatory. Where secondary data have been used, the sources have been cited. This data file was authored by Mwambo, Francis Molua.
Subject subject
  1. Other
Subject Refinement subjectRefinement
  1. Subject Refinement Value
    farming
  2. Subject Refinement Value
    environment
Free Keyword freeKeyword
  1. Free Keyword Value
    emergy analysis
  2. Free Keyword Value
    maize production
  3. Free Keyword Value
    environmental and economic accounting
  4. Free Keyword Value
    resource use efficiency
  5. Free Keyword Value
    energy use efficiency
  6. Free Keyword Value
    agricultural sustainability
  7. Free Keyword Value
    farming
  8. Free Keyword Value
    environment
Topic Classification topicClassification
  1. Topic Class Value
    biomass energy
    Topic Class Vocab
    GEMET - Concepts, version 2.4
  2. Topic Class Value
    agricultural production
    Topic Class Vocab
    GEMET - Concepts, version 2.4
  3. Topic Class Value
    BiomassWeb
    Topic Class Vocab
    Research Project
Notes Text notesText
This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={0b40d479-d6dd-41e0-abd9-cc7e8e2a4240}.<br/> Excel file composed of five sheet tabs which are self-explanatory.
Language language
  1. English
Other References otherReferences
  1. The empirical study was funded through a scholarship by the German Federal Ministry of Education and Research (BMBF, FZK: 031A258A) with support fund from the German Federal Ministry of Economic Cooperation and Development (BMZ). I acknowledge Prof. Dr. Sergio Ulgiati (Parthenope University of Napoli, Department of Science and Technology, Italy), for his immense technical support to synthesize this data file.

Geospatial Metadata

Geographic Coverage geographicCoverage
  1. Country
    Ghana
Geographic Bounding Box geographicBoundingBox
  1. West Longitude
    -3.26078599999994
    East Longitude
    1.19948138100006
    North Latitude
    11.174952907
    South Latitude
    4.73894544800004

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