Effect of financial knowledge on performance of women farm enterprises in Kenya
PurposeFinancial knowledge (FK) is considered one of the major factors influencing performance of farm enterprises. The purpose of this paper is to examine the effect of FK on performance of women farm enterprises. Performance is measured using levels of savings and enterprise margins.Design/methodo...
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Veröffentlicht in: | Journal of Agribusiness in Developing and Emerging Economies 2019-06, Vol.9 (3), p.294-311 |
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creator | Cherotich, Josephine Ayuya, Oscar Ingasia Sibiko, Kenneth W. |
description | PurposeFinancial knowledge (FK) is considered one of the major factors influencing performance of farm enterprises. The purpose of this paper is to examine the effect of FK on performance of women farm enterprises. Performance is measured using levels of savings and enterprise margins.Design/methodology/approachThe study uses primary data of 384 farmers from three sub-counties in Kericho County, Kenya. It employs a propensity score matching (PSM) approach to control for possible selection bias and to model the impact of FK on performance of women farm enterprises.FindingsThe analysis reveals that high FK has a significant positive impact on performance of women farm enterprises. Specifically, respondents with higher levels of FK were also associated with higher amounts of savings and enterprise margins.Research limitations/implicationsEconometrically, robust strategies were employed using PSM to ensure minimal estimation bias. Although PSM captures selection bias due to observable characteristics, it fails to capture selection bias due to unobservable factors.Originality/valueThe paper contributes to the growing debate on the role played by FK on performance of small and micro enterprises. It provides insights on the state of FK among women farmers and identifies knowledge gaps and policy implications from a developing country perspective. |
doi_str_mv | 10.1108/JADEE-06-2018-0083 |
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The purpose of this paper is to examine the effect of FK on performance of women farm enterprises. Performance is measured using levels of savings and enterprise margins.Design/methodology/approachThe study uses primary data of 384 farmers from three sub-counties in Kericho County, Kenya. It employs a propensity score matching (PSM) approach to control for possible selection bias and to model the impact of FK on performance of women farm enterprises.FindingsThe analysis reveals that high FK has a significant positive impact on performance of women farm enterprises. Specifically, respondents with higher levels of FK were also associated with higher amounts of savings and enterprise margins.Research limitations/implicationsEconometrically, robust strategies were employed using PSM to ensure minimal estimation bias. Although PSM captures selection bias due to observable characteristics, it fails to capture selection bias due to unobservable factors.Originality/valueThe paper contributes to the growing debate on the role played by FK on performance of small and micro enterprises. 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Although PSM captures selection bias due to observable characteristics, it fails to capture selection bias due to unobservable factors.Originality/valueThe paper contributes to the growing debate on the role played by FK on performance of small and micro enterprises. 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Ayuya, Oscar Ingasia ; Sibiko, Kenneth W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c317t-dfc1b3678148febf723e1f6e6ffa221f43c72739f3cf7ca732c8b1fb742942143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Access to information</topic><topic>Agribusiness</topic><topic>Bias</topic><topic>Decision making</topic><topic>Developing countries</topic><topic>Economic development</topic><topic>Economic growth</topic><topic>Entrepreneurs</topic><topic>Farmers</topic><topic>Farms</topic><topic>Financial services</topic><topic>GDP</topic><topic>Gross Domestic Product</topic><topic>Industrialized nations</topic><topic>LDCs</topic><topic>Questionnaires</topic><topic>Rural areas</topic><topic>Women</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cherotich, Josephine</creatorcontrib><creatorcontrib>Ayuya, Oscar Ingasia</creatorcontrib><creatorcontrib>Sibiko, Kenneth W.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Agricultural Science Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Research Library China</collection><collection>ProQuest One Business</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ABI/INFORM Collection China</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of Agribusiness in Developing and Emerging Economies</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cherotich, Josephine</au><au>Ayuya, Oscar Ingasia</au><au>Sibiko, Kenneth W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effect of financial knowledge on performance of women farm enterprises in Kenya</atitle><jtitle>Journal of Agribusiness in Developing and Emerging Economies</jtitle><date>2019-06-25</date><risdate>2019</risdate><volume>9</volume><issue>3</issue><spage>294</spage><epage>311</epage><pages>294-311</pages><issn>2044-0839</issn><eissn>2044-0847</eissn><abstract>PurposeFinancial knowledge (FK) is considered one of the major factors influencing performance of farm enterprises. The purpose of this paper is to examine the effect of FK on performance of women farm enterprises. Performance is measured using levels of savings and enterprise margins.Design/methodology/approachThe study uses primary data of 384 farmers from three sub-counties in Kericho County, Kenya. It employs a propensity score matching (PSM) approach to control for possible selection bias and to model the impact of FK on performance of women farm enterprises.FindingsThe analysis reveals that high FK has a significant positive impact on performance of women farm enterprises. Specifically, respondents with higher levels of FK were also associated with higher amounts of savings and enterprise margins.Research limitations/implicationsEconometrically, robust strategies were employed using PSM to ensure minimal estimation bias. Although PSM captures selection bias due to observable characteristics, it fails to capture selection bias due to unobservable factors.Originality/valueThe paper contributes to the growing debate on the role played by FK on performance of small and micro enterprises. It provides insights on the state of FK among women farmers and identifies knowledge gaps and policy implications from a developing country perspective.</abstract><cop>Bingley</cop><pub>Emerald Group Publishing Limited</pub><doi>10.1108/JADEE-06-2018-0083</doi><tpages>18</tpages></addata></record> |
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subjects | Access to information Agribusiness Bias Decision making Developing countries Economic development Economic growth Entrepreneurs Farmers Farms Financial services GDP Gross Domestic Product Industrialized nations LDCs Questionnaires Rural areas Women |
title | Effect of financial knowledge on performance of women farm enterprises in Kenya |
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