Off-Farm Employment and Agricultural Credit Fungibility Nexus in Rural Ghana
This study examined the impact of off-farm employment on rural household agriculture credit fungibility (CF) using survey data collected from four regions in Ghana; however, the study paid more attention to agriculture credit received from different sources. By employing the endogenous switching reg...
Gespeichert in:
Veröffentlicht in: | Sustainability 2022-08, Vol.14 (15), p.9109 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 15 |
container_start_page | 9109 |
container_title | Sustainability |
container_volume | 14 |
creator | Ankrah Twumasi, Martinson Chandio, Abbas Ali Sargani, Ghulam Raza Asare, Isaac Zhang, Huaquan |
description | This study examined the impact of off-farm employment on rural household agriculture credit fungibility (CF) using survey data collected from four regions in Ghana; however, the study paid more attention to agriculture credit received from different sources. By employing the endogenous switching regression (ESR) model, we solved the endogenous issue of off-farm employment. The econometrics model result revealed that off-farm employment negatively influences the household’s probability of practicing agriculture CF. Our results discovered the importance of off-farm employment on agriculture CF and recommended policy implications capable of alleviating agriculture CF. |
doi_str_mv | 10.3390/su14159109 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2700794632</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2700794632</sourcerecordid><originalsourceid>FETCH-LOGICAL-c225t-a3c1b6aa0d7af3beafb4a68f96257c4c3e894373e4f3cceab77e48f3557ff2483</originalsourceid><addsrcrecordid>eNpNkE1LAzEYhIMoWGov_oKAN2E1yZvdbI6l9EMoFkTPy7tpUlP2oyYbsP_eagWdy8zhYQaGkFvOHgA0e4yJS55rzvQFGQmmeMZZzi7_5WsyiXHPTgLgmhcjst44ly0wtHTeHpr-2NpuoNht6XQXvEnNkAI2dBbs1g90kbqdr33jhyN9tp8pUt_Rlx9i-Y4d3pArh020k18fk7fF_HW2ytab5dNsus6MEPmQIRheF4hsq9BBbdHVEovS6ULkykgDttQSFFjpwBiLtVJWlg7yXDknZAljcnfuPYT-I9k4VPs-he40WQnFmNKyAHGi7s-UCX2MwbrqEHyL4VhxVn0fVv0dBl8CoF1K</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2700794632</pqid></control><display><type>article</type><title>Off-Farm Employment and Agricultural Credit Fungibility Nexus in Rural Ghana</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>EZB Electronic Journals Library</source><creator>Ankrah Twumasi, Martinson ; Chandio, Abbas Ali ; Sargani, Ghulam Raza ; Asare, Isaac ; Zhang, Huaquan</creator><creatorcontrib>Ankrah Twumasi, Martinson ; Chandio, Abbas Ali ; Sargani, Ghulam Raza ; Asare, Isaac ; Zhang, Huaquan</creatorcontrib><description>This study examined the impact of off-farm employment on rural household agriculture credit fungibility (CF) using survey data collected from four regions in Ghana; however, the study paid more attention to agriculture credit received from different sources. By employing the endogenous switching regression (ESR) model, we solved the endogenous issue of off-farm employment. The econometrics model result revealed that off-farm employment negatively influences the household’s probability of practicing agriculture CF. Our results discovered the importance of off-farm employment on agriculture CF and recommended policy implications capable of alleviating agriculture CF.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su14159109</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Agricultural credit ; Agriculture ; Econometrics ; Employment ; Households ; Low income groups ; Microfinance ; Statistical analysis</subject><ispartof>Sustainability, 2022-08, Vol.14 (15), p.9109</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c225t-a3c1b6aa0d7af3beafb4a68f96257c4c3e894373e4f3cceab77e48f3557ff2483</citedby><cites>FETCH-LOGICAL-c225t-a3c1b6aa0d7af3beafb4a68f96257c4c3e894373e4f3cceab77e48f3557ff2483</cites><orcidid>0000-0001-8706-9681 ; 0000-0003-0327-8000 ; 0000-0001-8703-7102</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Ankrah Twumasi, Martinson</creatorcontrib><creatorcontrib>Chandio, Abbas Ali</creatorcontrib><creatorcontrib>Sargani, Ghulam Raza</creatorcontrib><creatorcontrib>Asare, Isaac</creatorcontrib><creatorcontrib>Zhang, Huaquan</creatorcontrib><title>Off-Farm Employment and Agricultural Credit Fungibility Nexus in Rural Ghana</title><title>Sustainability</title><description>This study examined the impact of off-farm employment on rural household agriculture credit fungibility (CF) using survey data collected from four regions in Ghana; however, the study paid more attention to agriculture credit received from different sources. By employing the endogenous switching regression (ESR) model, we solved the endogenous issue of off-farm employment. The econometrics model result revealed that off-farm employment negatively influences the household’s probability of practicing agriculture CF. Our results discovered the importance of off-farm employment on agriculture CF and recommended policy implications capable of alleviating agriculture CF.</description><subject>Agricultural credit</subject><subject>Agriculture</subject><subject>Econometrics</subject><subject>Employment</subject><subject>Households</subject><subject>Low income groups</subject><subject>Microfinance</subject><subject>Statistical analysis</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNkE1LAzEYhIMoWGov_oKAN2E1yZvdbI6l9EMoFkTPy7tpUlP2oyYbsP_eagWdy8zhYQaGkFvOHgA0e4yJS55rzvQFGQmmeMZZzi7_5WsyiXHPTgLgmhcjst44ly0wtHTeHpr-2NpuoNht6XQXvEnNkAI2dBbs1g90kbqdr33jhyN9tp8pUt_Rlx9i-Y4d3pArh020k18fk7fF_HW2ytab5dNsus6MEPmQIRheF4hsq9BBbdHVEovS6ULkykgDttQSFFjpwBiLtVJWlg7yXDknZAljcnfuPYT-I9k4VPs-he40WQnFmNKyAHGi7s-UCX2MwbrqEHyL4VhxVn0fVv0dBl8CoF1K</recordid><startdate>20220801</startdate><enddate>20220801</enddate><creator>Ankrah Twumasi, Martinson</creator><creator>Chandio, Abbas Ali</creator><creator>Sargani, Ghulam Raza</creator><creator>Asare, Isaac</creator><creator>Zhang, Huaquan</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0001-8706-9681</orcidid><orcidid>https://orcid.org/0000-0003-0327-8000</orcidid><orcidid>https://orcid.org/0000-0001-8703-7102</orcidid></search><sort><creationdate>20220801</creationdate><title>Off-Farm Employment and Agricultural Credit Fungibility Nexus in Rural Ghana</title><author>Ankrah Twumasi, Martinson ; Chandio, Abbas Ali ; Sargani, Ghulam Raza ; Asare, Isaac ; Zhang, Huaquan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c225t-a3c1b6aa0d7af3beafb4a68f96257c4c3e894373e4f3cceab77e48f3557ff2483</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Agricultural credit</topic><topic>Agriculture</topic><topic>Econometrics</topic><topic>Employment</topic><topic>Households</topic><topic>Low income groups</topic><topic>Microfinance</topic><topic>Statistical analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ankrah Twumasi, Martinson</creatorcontrib><creatorcontrib>Chandio, Abbas Ali</creatorcontrib><creatorcontrib>Sargani, Ghulam Raza</creatorcontrib><creatorcontrib>Asare, Isaac</creatorcontrib><creatorcontrib>Zhang, Huaquan</creatorcontrib><collection>CrossRef</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest - Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ankrah Twumasi, Martinson</au><au>Chandio, Abbas Ali</au><au>Sargani, Ghulam Raza</au><au>Asare, Isaac</au><au>Zhang, Huaquan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Off-Farm Employment and Agricultural Credit Fungibility Nexus in Rural Ghana</atitle><jtitle>Sustainability</jtitle><date>2022-08-01</date><risdate>2022</risdate><volume>14</volume><issue>15</issue><spage>9109</spage><pages>9109-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>This study examined the impact of off-farm employment on rural household agriculture credit fungibility (CF) using survey data collected from four regions in Ghana; however, the study paid more attention to agriculture credit received from different sources. By employing the endogenous switching regression (ESR) model, we solved the endogenous issue of off-farm employment. The econometrics model result revealed that off-farm employment negatively influences the household’s probability of practicing agriculture CF. Our results discovered the importance of off-farm employment on agriculture CF and recommended policy implications capable of alleviating agriculture CF.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/su14159109</doi><orcidid>https://orcid.org/0000-0001-8706-9681</orcidid><orcidid>https://orcid.org/0000-0003-0327-8000</orcidid><orcidid>https://orcid.org/0000-0001-8703-7102</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2071-1050 |
ispartof | Sustainability, 2022-08, Vol.14 (15), p.9109 |
issn | 2071-1050 2071-1050 |
language | eng |
recordid | cdi_proquest_journals_2700794632 |
source | MDPI - Multidisciplinary Digital Publishing Institute; EZB Electronic Journals Library |
subjects | Agricultural credit Agriculture Econometrics Employment Households Low income groups Microfinance Statistical analysis |
title | Off-Farm Employment and Agricultural Credit Fungibility Nexus in Rural Ghana |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T09%3A09%3A45IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Off-Farm%20Employment%20and%20Agricultural%20Credit%20Fungibility%20Nexus%20in%20Rural%20Ghana&rft.jtitle=Sustainability&rft.au=Ankrah%20Twumasi,%20Martinson&rft.date=2022-08-01&rft.volume=14&rft.issue=15&rft.spage=9109&rft.pages=9109-&rft.issn=2071-1050&rft.eissn=2071-1050&rft_id=info:doi/10.3390/su14159109&rft_dat=%3Cproquest_cross%3E2700794632%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2700794632&rft_id=info:pmid/&rfr_iscdi=true |