Cotton production for the sustainable livelihoods in Punjab Pakistan: a case study of district Muzaffargarh
Purpose>This study aims to analyze access of cotton growers to Sustainable Livelihoods Assets Pakistani Punjab.Design/methodology/approach>This study uses the department for international development (DFID’s) sustainable livelihoods framework (DFID) (1999). Where data collection was done by us...
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Veröffentlicht in: | Humanomics 2022-03, Vol.38 (2), p.191-208 |
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creator | Sadaf, Tahira Kousar, Rakhshanda Mohy Ul Din, Zia Abbas, Qaisar Makhdum, Muhammad Sohail Amjad Nasir, Javaria |
description | Purpose>This study aims to analyze access of cotton growers to Sustainable Livelihoods Assets Pakistani Punjab.Design/methodology/approach>This study uses the department for international development (DFID’s) sustainable livelihoods framework (DFID) (1999). Where data collection was done by using a well-structured questionnaire from 200 randomly selected cotton growers of the district Muzaffargarh. There are five livelihood assets (human assets, natural assets, financial assets, physical assets and social assets) in the SLF, this study has used three different indicators/proxies for each asset except natural assets, where four indicators were used to capture the salient features of the respondents’ access to that assets. Each indicator was given a weight by using the entropy technique to keep the consistency of the quantification. Livelihood assets indices were calculated in case of each livelihood asset for conducting Livelihood Assets Pentagon Analysis. Value of livelihood index ranged from 0–4.Findings>Livelihoods Assets Pentagon analysis shows that cotton growers do not have proper access to all five livelihood assets. The asset with the highest capacity were social assets (sustainable livelihood index value = 0.3994), followed by natural assets (0.3294), financial assets (0.2511), human assets (0.2143) and physical assets (0.0897).Originality/value>This study uses the SLF developed by DFID for analyzing factors affecting access to livelihoods assets of cotton growers in Pakistani Punjab. Sustainable agriculture and sustainable rural livelihoods lead to sustainable livelihoods where environment quality is taken into consideration. The study contains significant and new information. |
doi_str_mv | 10.1108/IJOES-06-2021-0115 |
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Where data collection was done by using a well-structured questionnaire from 200 randomly selected cotton growers of the district Muzaffargarh. There are five livelihood assets (human assets, natural assets, financial assets, physical assets and social assets) in the SLF, this study has used three different indicators/proxies for each asset except natural assets, where four indicators were used to capture the salient features of the respondents’ access to that assets. Each indicator was given a weight by using the entropy technique to keep the consistency of the quantification. Livelihood assets indices were calculated in case of each livelihood asset for conducting Livelihood Assets Pentagon Analysis. Value of livelihood index ranged from 0–4.Findings>Livelihoods Assets Pentagon analysis shows that cotton growers do not have proper access to all five livelihood assets. The asset with the highest capacity were social assets (sustainable livelihood index value = 0.3994), followed by natural assets (0.3294), financial assets (0.2511), human assets (0.2143) and physical assets (0.0897).Originality/value>This study uses the SLF developed by DFID for analyzing factors affecting access to livelihoods assets of cotton growers in Pakistani Punjab. Sustainable agriculture and sustainable rural livelihoods lead to sustainable livelihoods where environment quality is taken into consideration. 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Where data collection was done by using a well-structured questionnaire from 200 randomly selected cotton growers of the district Muzaffargarh. There are five livelihood assets (human assets, natural assets, financial assets, physical assets and social assets) in the SLF, this study has used three different indicators/proxies for each asset except natural assets, where four indicators were used to capture the salient features of the respondents’ access to that assets. Each indicator was given a weight by using the entropy technique to keep the consistency of the quantification. Livelihood assets indices were calculated in case of each livelihood asset for conducting Livelihood Assets Pentagon Analysis. Value of livelihood index ranged from 0–4.Findings>Livelihoods Assets Pentagon analysis shows that cotton growers do not have proper access to all five livelihood assets. The asset with the highest capacity were social assets (sustainable livelihood index value = 0.3994), followed by natural assets (0.3294), financial assets (0.2511), human assets (0.2143) and physical assets (0.0897).Originality/value>This study uses the SLF developed by DFID for analyzing factors affecting access to livelihoods assets of cotton growers in Pakistani Punjab. Sustainable agriculture and sustainable rural livelihoods lead to sustainable livelihoods where environment quality is taken into consideration. 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The asset with the highest capacity were social assets (sustainable livelihood index value = 0.3994), followed by natural assets (0.3294), financial assets (0.2511), human assets (0.2143) and physical assets (0.0897).Originality/value>This study uses the SLF developed by DFID for analyzing factors affecting access to livelihoods assets of cotton growers in Pakistani Punjab. Sustainable agriculture and sustainable rural livelihoods lead to sustainable livelihoods where environment quality is taken into consideration. The study contains significant and new information.</abstract><cop>Bingley</cop><pub>Emerald Group Publishing Limited</pub><doi>10.1108/IJOES-06-2021-0115</doi><tpages>18</tpages></addata></record> |
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subjects | Cotton GDP Gross Domestic Product Productivity Textiles |
title | Cotton production for the sustainable livelihoods in Punjab Pakistan: a case study of district Muzaffargarh |
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