Purpose Financial 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/approach The 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. Findings The 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/implications Econometrically, 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/value The 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.

PurposeInadequate finance is considered a major factor limiting the growth of small-scale women-owned farm enterprises in Sub-Saharan Africa. Women empowerment programs such as table banking (TB) and women enterprise fund were initiated in an attempt to curb the credit gap affecting women in agribusiness. This paper determines the factors influencing the extent of credit access among women farm-entrepreneurs who are either members or nonmembers of TB groups in Kenya.Design/methodology/approachThe study was conducted in Kericho County using a sample of 384 respondents. Factor analysis was used to generate three indicators of entrepreneurial orientation which were included as explanatory variables in the regressions. Double hurdle econometric model was employed to analyze the factors influencing the decisions on credit uptake and amount of borrowed loan. Separate models were estimated for members and nonmembers of TB groups since they differed in volume and source of loan accessed.FindingsResults reveal that age of the woman and innovativeness negatively influenced credit access, whereas education level, participation in off-farm activities, number of farm enterprises, perception on interest rate, extension contacts and financial knowledge positively influenced the decision to access credit. On the other hand, participation in off-farm activities, risk-taking behavior, total land size, extension access and financial knowledge were statistically significant with positive correlation on the amount of loan borrowed. Significant factors differ between members and nonmembers of TB groups implying divergence in underlying credit access challenges once one has joined such groups.Research limitations/implicationsThe study did not consider supply-side factors affecting the amount of loan accessed by women farm-entrepreneurs.Originality/valueTo the best of the authors’ knowledge, this paper is one of the pioneer studies using the double hurdle model to analyze factors influencing the extent of credit access specifically among women farm-entrepreneurs and carrying out the analysis by membership in TB groups.