Do combined sustainable agricultural intensification practices improve smallholder farmers welfare? Evidence from eastern and western Kenya
Smallholder farmers often bundle different sustainable agricultural intensification (SAI) practices to boost crop yield and address soil fertility challenges. However, there is a dearth of empirical studies that investigate farmers’ adoption of SAI bundles and their subsequent impacts. Using data fr...
Gespeichert in:
Veröffentlicht in: | Agricultural economics 2024-03, Vol.55 (2), p.296-312 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 312 |
---|---|
container_issue | 2 |
container_start_page | 296 |
container_title | Agricultural economics |
container_volume | 55 |
creator | Nyarindo, Wilckyster Nyateko Mugera, Amin Hailu, Atakelty Obare, Gideon Aiko |
description | Smallholder farmers often bundle different sustainable agricultural intensification (SAI) practices to boost crop yield and address soil fertility challenges. However, there is a dearth of empirical studies that investigate farmers’ adoption of SAI bundles and their subsequent impacts. Using data from a three‐wave panel survey of smallholder maize‐legume producers in Kenya, we examine the adoption and payoffs from 10 SAI practices clustered into five dominant groups. We use a random effects multinomial logit model to determine the choice of SAI cluster at the plot level while controlling for unobserved individual heterogeneity. The results show that the number of extension contacts, farm labor availability, household wealth, and education of household heads positively and significantly affect the adoption of SAI clusters while renting plots and poor soil quality have negative effects. The multinomial endogenous treatment effects model results reveal significant variability in crop yield, total variable cost, revenue, and net income across the five SAI clusters. The benefits vary by crop system, region, and cropping year, indicating that a one‐size‐fits‐all extension design is unsuitable for farmers. The study suggests the promotion of participatory extension policies that would allow locally adaptable and highly profitable bundles of SAI practices to be identified, refined, and disseminated. |
doi_str_mv | 10.1111/agec.12816 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2967209997</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2967209997</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3506-eeaf1ea4471066b386eb845e0a385b392215974f037d2c3e4716d0d8dfc37823</originalsourceid><addsrcrecordid>eNp90M9q3DAQBnARWsg2zSVPIOit4ER_bFk-lWW7TUICueTQmxnL460WWdpK9oZ9hr50lLrQW3SZOfz4NHyEXHF2zfO7gR2aay40V2dkxau6LJhW4gNZMa6aouIVOyefUtozxksm5Ir8-R6oCWNnPfY0zWkC66FzSGEXrZndNEdw1PoJfbKDNTDZ4OkhgpmswUTteIjhiDSN4Nyv4HqMdIA4Ykz0BV1e8RvdHm2P3iAdYhgpQpowegq-z2TZH9Cf4DP5OIBLePlvXpDnH9vnzV3x-HR7v1k_FkZWTBWIMHCEsqw5U6qTWmGnywoZSF11shGCV01dDkzWvTASs1M963U_GFlrIS_IlyU2X_57zge0-zBHn39sRaNqwZqmqbP6uigTQ0oRh_YQ7Qjx1HLWvnXdvnXd_u06Y7pgNMHb9J9qrSrZKPYzE76QF-vw9E5Yu77dbpbYV36OjpE</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2967209997</pqid></control><display><type>article</type><title>Do combined sustainable agricultural intensification practices improve smallholder farmers welfare? Evidence from eastern and western Kenya</title><source>Access via Wiley Online Library</source><creator>Nyarindo, Wilckyster Nyateko ; Mugera, Amin ; Hailu, Atakelty ; Obare, Gideon Aiko</creator><creatorcontrib>Nyarindo, Wilckyster Nyateko ; Mugera, Amin ; Hailu, Atakelty ; Obare, Gideon Aiko</creatorcontrib><description>Smallholder farmers often bundle different sustainable agricultural intensification (SAI) practices to boost crop yield and address soil fertility challenges. However, there is a dearth of empirical studies that investigate farmers’ adoption of SAI bundles and their subsequent impacts. Using data from a three‐wave panel survey of smallholder maize‐legume producers in Kenya, we examine the adoption and payoffs from 10 SAI practices clustered into five dominant groups. We use a random effects multinomial logit model to determine the choice of SAI cluster at the plot level while controlling for unobserved individual heterogeneity. The results show that the number of extension contacts, farm labor availability, household wealth, and education of household heads positively and significantly affect the adoption of SAI clusters while renting plots and poor soil quality have negative effects. The multinomial endogenous treatment effects model results reveal significant variability in crop yield, total variable cost, revenue, and net income across the five SAI clusters. The benefits vary by crop system, region, and cropping year, indicating that a one‐size‐fits‐all extension design is unsuitable for farmers. The study suggests the promotion of participatory extension policies that would allow locally adaptable and highly profitable bundles of SAI practices to be identified, refined, and disseminated.</description><identifier>ISSN: 0169-5150</identifier><identifier>EISSN: 1574-0862</identifier><identifier>DOI: 10.1111/agec.12816</identifier><language>eng</language><publisher>Malden: Wiley Subscription Services, Inc</publisher><subject>Agricultural practices ; Agricultural production ; Clusters ; Crop yield ; Crops ; Farmers ; Farmworkers ; Heterogeneity ; Intensive farming ; Legumes ; Logit models ; multinomial endogenous treatment effects ; Small farms ; Soil fertility ; Soil quality ; sustainable agricultural intensification ; Sustainable agriculture ; welfare</subject><ispartof>Agricultural economics, 2024-03, Vol.55 (2), p.296-312</ispartof><rights>2024 International Association of Agricultural Economists.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3506-eeaf1ea4471066b386eb845e0a385b392215974f037d2c3e4716d0d8dfc37823</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fagec.12816$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fagec.12816$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,782,786,1419,27933,27934,45583,45584</link.rule.ids></links><search><creatorcontrib>Nyarindo, Wilckyster Nyateko</creatorcontrib><creatorcontrib>Mugera, Amin</creatorcontrib><creatorcontrib>Hailu, Atakelty</creatorcontrib><creatorcontrib>Obare, Gideon Aiko</creatorcontrib><title>Do combined sustainable agricultural intensification practices improve smallholder farmers welfare? Evidence from eastern and western Kenya</title><title>Agricultural economics</title><description>Smallholder farmers often bundle different sustainable agricultural intensification (SAI) practices to boost crop yield and address soil fertility challenges. However, there is a dearth of empirical studies that investigate farmers’ adoption of SAI bundles and their subsequent impacts. Using data from a three‐wave panel survey of smallholder maize‐legume producers in Kenya, we examine the adoption and payoffs from 10 SAI practices clustered into five dominant groups. We use a random effects multinomial logit model to determine the choice of SAI cluster at the plot level while controlling for unobserved individual heterogeneity. The results show that the number of extension contacts, farm labor availability, household wealth, and education of household heads positively and significantly affect the adoption of SAI clusters while renting plots and poor soil quality have negative effects. The multinomial endogenous treatment effects model results reveal significant variability in crop yield, total variable cost, revenue, and net income across the five SAI clusters. The benefits vary by crop system, region, and cropping year, indicating that a one‐size‐fits‐all extension design is unsuitable for farmers. The study suggests the promotion of participatory extension policies that would allow locally adaptable and highly profitable bundles of SAI practices to be identified, refined, and disseminated.</description><subject>Agricultural practices</subject><subject>Agricultural production</subject><subject>Clusters</subject><subject>Crop yield</subject><subject>Crops</subject><subject>Farmers</subject><subject>Farmworkers</subject><subject>Heterogeneity</subject><subject>Intensive farming</subject><subject>Legumes</subject><subject>Logit models</subject><subject>multinomial endogenous treatment effects</subject><subject>Small farms</subject><subject>Soil fertility</subject><subject>Soil quality</subject><subject>sustainable agricultural intensification</subject><subject>Sustainable agriculture</subject><subject>welfare</subject><issn>0169-5150</issn><issn>1574-0862</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp90M9q3DAQBnARWsg2zSVPIOit4ER_bFk-lWW7TUICueTQmxnL460WWdpK9oZ9hr50lLrQW3SZOfz4NHyEXHF2zfO7gR2aay40V2dkxau6LJhW4gNZMa6aouIVOyefUtozxksm5Ir8-R6oCWNnPfY0zWkC66FzSGEXrZndNEdw1PoJfbKDNTDZ4OkhgpmswUTteIjhiDSN4Nyv4HqMdIA4Ykz0BV1e8RvdHm2P3iAdYhgpQpowegq-z2TZH9Cf4DP5OIBLePlvXpDnH9vnzV3x-HR7v1k_FkZWTBWIMHCEsqw5U6qTWmGnywoZSF11shGCV01dDkzWvTASs1M963U_GFlrIS_IlyU2X_57zge0-zBHn39sRaNqwZqmqbP6uigTQ0oRh_YQ7Qjx1HLWvnXdvnXd_u06Y7pgNMHb9J9qrSrZKPYzE76QF-vw9E5Yu77dbpbYV36OjpE</recordid><startdate>202403</startdate><enddate>202403</enddate><creator>Nyarindo, Wilckyster Nyateko</creator><creator>Mugera, Amin</creator><creator>Hailu, Atakelty</creator><creator>Obare, Gideon Aiko</creator><general>Wiley Subscription Services, Inc</general><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>C1K</scope><scope>SOI</scope></search><sort><creationdate>202403</creationdate><title>Do combined sustainable agricultural intensification practices improve smallholder farmers welfare? Evidence from eastern and western Kenya</title><author>Nyarindo, Wilckyster Nyateko ; Mugera, Amin ; Hailu, Atakelty ; Obare, Gideon Aiko</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3506-eeaf1ea4471066b386eb845e0a385b392215974f037d2c3e4716d0d8dfc37823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Agricultural practices</topic><topic>Agricultural production</topic><topic>Clusters</topic><topic>Crop yield</topic><topic>Crops</topic><topic>Farmers</topic><topic>Farmworkers</topic><topic>Heterogeneity</topic><topic>Intensive farming</topic><topic>Legumes</topic><topic>Logit models</topic><topic>multinomial endogenous treatment effects</topic><topic>Small farms</topic><topic>Soil fertility</topic><topic>Soil quality</topic><topic>sustainable agricultural intensification</topic><topic>Sustainable agriculture</topic><topic>welfare</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nyarindo, Wilckyster Nyateko</creatorcontrib><creatorcontrib>Mugera, Amin</creatorcontrib><creatorcontrib>Hailu, Atakelty</creatorcontrib><creatorcontrib>Obare, Gideon Aiko</creatorcontrib><collection>ECONIS</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><jtitle>Agricultural economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nyarindo, Wilckyster Nyateko</au><au>Mugera, Amin</au><au>Hailu, Atakelty</au><au>Obare, Gideon Aiko</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Do combined sustainable agricultural intensification practices improve smallholder farmers welfare? Evidence from eastern and western Kenya</atitle><jtitle>Agricultural economics</jtitle><date>2024-03</date><risdate>2024</risdate><volume>55</volume><issue>2</issue><spage>296</spage><epage>312</epage><pages>296-312</pages><issn>0169-5150</issn><eissn>1574-0862</eissn><abstract>Smallholder farmers often bundle different sustainable agricultural intensification (SAI) practices to boost crop yield and address soil fertility challenges. However, there is a dearth of empirical studies that investigate farmers’ adoption of SAI bundles and their subsequent impacts. Using data from a three‐wave panel survey of smallholder maize‐legume producers in Kenya, we examine the adoption and payoffs from 10 SAI practices clustered into five dominant groups. We use a random effects multinomial logit model to determine the choice of SAI cluster at the plot level while controlling for unobserved individual heterogeneity. The results show that the number of extension contacts, farm labor availability, household wealth, and education of household heads positively and significantly affect the adoption of SAI clusters while renting plots and poor soil quality have negative effects. The multinomial endogenous treatment effects model results reveal significant variability in crop yield, total variable cost, revenue, and net income across the five SAI clusters. The benefits vary by crop system, region, and cropping year, indicating that a one‐size‐fits‐all extension design is unsuitable for farmers. The study suggests the promotion of participatory extension policies that would allow locally adaptable and highly profitable bundles of SAI practices to be identified, refined, and disseminated.</abstract><cop>Malden</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1111/agec.12816</doi><tpages>17</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0169-5150 |
ispartof | Agricultural economics, 2024-03, Vol.55 (2), p.296-312 |
issn | 0169-5150 1574-0862 |
language | eng |
recordid | cdi_proquest_journals_2967209997 |
source | Access via Wiley Online Library |
subjects | Agricultural practices Agricultural production Clusters Crop yield Crops Farmers Farmworkers Heterogeneity Intensive farming Legumes Logit models multinomial endogenous treatment effects Small farms Soil fertility Soil quality sustainable agricultural intensification Sustainable agriculture welfare |
title | Do combined sustainable agricultural intensification practices improve smallholder farmers welfare? Evidence from eastern and western Kenya |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-11-30T07%3A46%3A05IST&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=Do%20combined%20sustainable%20agricultural%20intensification%20practices%20improve%20smallholder%20farmers%20welfare?%20Evidence%20from%20eastern%20and%20western%20Kenya&rft.jtitle=Agricultural%20economics&rft.au=Nyarindo,%20Wilckyster%20Nyateko&rft.date=2024-03&rft.volume=55&rft.issue=2&rft.spage=296&rft.epage=312&rft.pages=296-312&rft.issn=0169-5150&rft.eissn=1574-0862&rft_id=info:doi/10.1111/agec.12816&rft_dat=%3Cproquest_cross%3E2967209997%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=2967209997&rft_id=info:pmid/&rfr_iscdi=true |