Evaluating the effectiveness of university agricultural extension test stations using Wuli-Shili-Renli methodology
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Ciência Rural |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782021000100901 |
Resumo: | ABSTRACT: Wuli-Shili-Renli (WSR) methodology was used to assess the effects of systematic management on university agricultural extension test stations, in order to understand areas for further optimization. We developed a framework model and evaluation index system, of which, the weights of the evaluation index system were determined using AHP. Using an agricultural extension test station of Hebei Agricultural University as an example, we interviewed and surveyed in total of 225 university extension experts from nine test stations. Assessment showed that the test station system organization produces desirable societal benefits and improvements. In addition, the organizational structure and job allocation were found to act as high-impact factors in improving the optimal system function, with the university extension experts functional better in the incentive and guarantee mechanism than other factors. Our investigation validated that the university extension experts were critical in designing the incentives and evaluation programs. |
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Evaluating the effectiveness of university agricultural extension test stations using Wuli-Shili-Renli methodologythe WSR methodologyuniversity agricultural extensiontest stationframework modelevaluation index systemABSTRACT: Wuli-Shili-Renli (WSR) methodology was used to assess the effects of systematic management on university agricultural extension test stations, in order to understand areas for further optimization. We developed a framework model and evaluation index system, of which, the weights of the evaluation index system were determined using AHP. Using an agricultural extension test station of Hebei Agricultural University as an example, we interviewed and surveyed in total of 225 university extension experts from nine test stations. Assessment showed that the test station system organization produces desirable societal benefits and improvements. In addition, the organizational structure and job allocation were found to act as high-impact factors in improving the optimal system function, with the university extension experts functional better in the incentive and guarantee mechanism than other factors. Our investigation validated that the university extension experts were critical in designing the incentives and evaluation programs.Universidade Federal de Santa Maria2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782021000100901Ciência Rural v.51 n.1 2021reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/0103-8478cr20190982info:eu-repo/semantics/openAccessLiu,TingtingTao,Peijuneng2020-10-29T00:00:00ZRevista |
dc.title.none.fl_str_mv |
Evaluating the effectiveness of university agricultural extension test stations using Wuli-Shili-Renli methodology |
title |
Evaluating the effectiveness of university agricultural extension test stations using Wuli-Shili-Renli methodology |
spellingShingle |
Evaluating the effectiveness of university agricultural extension test stations using Wuli-Shili-Renli methodology Liu,Tingting the WSR methodology university agricultural extension test station framework model evaluation index system |
title_short |
Evaluating the effectiveness of university agricultural extension test stations using Wuli-Shili-Renli methodology |
title_full |
Evaluating the effectiveness of university agricultural extension test stations using Wuli-Shili-Renli methodology |
title_fullStr |
Evaluating the effectiveness of university agricultural extension test stations using Wuli-Shili-Renli methodology |
title_full_unstemmed |
Evaluating the effectiveness of university agricultural extension test stations using Wuli-Shili-Renli methodology |
title_sort |
Evaluating the effectiveness of university agricultural extension test stations using Wuli-Shili-Renli methodology |
author |
Liu,Tingting |
author_facet |
Liu,Tingting Tao,Peijun |
author_role |
author |
author2 |
Tao,Peijun |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Liu,Tingting Tao,Peijun |
dc.subject.por.fl_str_mv |
the WSR methodology university agricultural extension test station framework model evaluation index system |
topic |
the WSR methodology university agricultural extension test station framework model evaluation index system |
description |
ABSTRACT: Wuli-Shili-Renli (WSR) methodology was used to assess the effects of systematic management on university agricultural extension test stations, in order to understand areas for further optimization. We developed a framework model and evaluation index system, of which, the weights of the evaluation index system were determined using AHP. Using an agricultural extension test station of Hebei Agricultural University as an example, we interviewed and surveyed in total of 225 university extension experts from nine test stations. Assessment showed that the test station system organization produces desirable societal benefits and improvements. In addition, the organizational structure and job allocation were found to act as high-impact factors in improving the optimal system function, with the university extension experts functional better in the incentive and guarantee mechanism than other factors. Our investigation validated that the university extension experts were critical in designing the incentives and evaluation programs. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782021000100901 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782021000100901 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0103-8478cr20190982 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
dc.source.none.fl_str_mv |
Ciência Rural v.51 n.1 2021 reponame:Ciência Rural instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
instname_str |
Universidade Federal de Santa Maria (UFSM) |
instacron_str |
UFSM |
institution |
UFSM |
reponame_str |
Ciência Rural |
collection |
Ciência Rural |
repository.name.fl_str_mv |
|
repository.mail.fl_str_mv |
|
_version_ |
1749140555283038208 |