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Dataset on the Impact of GO-NGO Support on Crop Intensification and Food Security in Bangladesh
The data used in this article elucidated crop intensification and farmers’ food security status through GO-NGO support in Bangladesh. A total of 200 farmers (100 from non-supported and 100 from GO-NGO supported) were selected for data collection using purposive sampling technique. The collected data...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996219/ https://www.ncbi.nlm.nih.gov/pubmed/29896503 http://dx.doi.org/10.1016/j.dib.2018.03.020 |
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author | Islam, Md. Monirul Jannat, Arifa Dhar, Aurup Ratan |
author_facet | Islam, Md. Monirul Jannat, Arifa Dhar, Aurup Ratan |
author_sort | Islam, Md. Monirul |
collection | PubMed |
description | The data used in this article elucidated crop intensification and farmers’ food security status through GO-NGO support in Bangladesh. A total of 200 farmers (100 from non-supported and 100 from GO-NGO supported) were selected for data collection using purposive sampling technique. The collected data showed that GO-NGO support has a significant impact on changes in agricultural enterprises. Majority (63.3%) of the households belong to the low intensity category for non-supported farmers. In case of GO-NGO supported farmers, majority (73.3%) of the households belong to the high intensity category. The food security indices values showed that the food security index for non-supported farm households was 0.97 and for GO-NGO supported farm households, it was 1.07. |
format | Online Article Text |
id | pubmed-5996219 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-59962192018-06-12 Dataset on the Impact of GO-NGO Support on Crop Intensification and Food Security in Bangladesh Islam, Md. Monirul Jannat, Arifa Dhar, Aurup Ratan Data Brief Agricultural and Biological Sciences The data used in this article elucidated crop intensification and farmers’ food security status through GO-NGO support in Bangladesh. A total of 200 farmers (100 from non-supported and 100 from GO-NGO supported) were selected for data collection using purposive sampling technique. The collected data showed that GO-NGO support has a significant impact on changes in agricultural enterprises. Majority (63.3%) of the households belong to the low intensity category for non-supported farmers. In case of GO-NGO supported farmers, majority (73.3%) of the households belong to the high intensity category. The food security indices values showed that the food security index for non-supported farm households was 0.97 and for GO-NGO supported farm households, it was 1.07. Elsevier 2018-03-08 /pmc/articles/PMC5996219/ /pubmed/29896503 http://dx.doi.org/10.1016/j.dib.2018.03.020 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Agricultural and Biological Sciences Islam, Md. Monirul Jannat, Arifa Dhar, Aurup Ratan Dataset on the Impact of GO-NGO Support on Crop Intensification and Food Security in Bangladesh |
title | Dataset on the Impact of GO-NGO Support on Crop Intensification and Food Security in Bangladesh |
title_full | Dataset on the Impact of GO-NGO Support on Crop Intensification and Food Security in Bangladesh |
title_fullStr | Dataset on the Impact of GO-NGO Support on Crop Intensification and Food Security in Bangladesh |
title_full_unstemmed | Dataset on the Impact of GO-NGO Support on Crop Intensification and Food Security in Bangladesh |
title_short | Dataset on the Impact of GO-NGO Support on Crop Intensification and Food Security in Bangladesh |
title_sort | dataset on the impact of go-ngo support on crop intensification and food security in bangladesh |
topic | Agricultural and Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996219/ https://www.ncbi.nlm.nih.gov/pubmed/29896503 http://dx.doi.org/10.1016/j.dib.2018.03.020 |
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