| Literature DB >> 35058847 |
Anselme Andriamahery1, Md Qamruzzaman2.
Abstract
The motivation of the study is to gauge the effects of access to finance, technical know-how, and financial literacy on women's empowerment through establishing women's entrepreneurial development. A sample of 950 women-owned SMEs was considered, and structured questionnaires were sent from getting target responses. After careful assessment through the data cleansing procedure, it was found that only 795 responses are suitable for further investigation, implying the sample response rate for the study is 74.71%. The study implemented structural equation modeling and multivariate regression analysis for gauging the causal association that is direct and indirect effects of target variables. According to findings, a positive statistically significant linkage was revealed with women's entrepreneurship sustainability and women empowerment. Furthermore, the mediating effects were also established for women's empowerment. According to the study findings, it is suggested that for women entrepreneurship sustainability, effective policies surrounding financing accessibility, technical knowledge expansion, and financial understating have to be promulgated in the economy, which allows bringing women empowerment at large.Entities:
Keywords: access to finance; entrepreneurial sustainability; financial literacy; technical know-how; women empowerment
Year: 2022 PMID: 35058847 PMCID: PMC8764158 DOI: 10.3389/fpsyg.2021.776844
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Technical details for research sample.
| Category | Remarks |
| Sector | Women-owned SMEs |
| Geographical location | Bangladesh (Dhaka) |
| Methodology | Random sampling |
| Population (sample) | 950 (796) |
| Data collection period | March 14, 2021, to July 26, 2021 |
Sources: Authors accumulation (2021).
Measurements of variables.
| Variables | Definition | Latent construct | References | Scale for response |
| Women empowerment ( | It is all about power – the capacity to redefine our possibilities and choices and the power to act on them. It is about individuals using their ability to be courageous and believe in themselves | 6 | Disagree 1 to strongly agree 5 | |
| Women entrepreneurship development ( | It is referred to as skills development with innovation, managerial competency, and technical know-how for managing enterprises. | 5 | ||
| Access to finance ( | Access to finance is the ability of individuals or enterprises to obtain financial services, including credit, deposit, payment, insurance, and other risk management services | 5 | ||
| Technical Know-how ( | technical opportunities: scientific knowledge, technological advancements | 5 |
| |
| Financial literacy (FiL) | Knowledge, behavior, attitude, and skills | 4 |
FIGURE 1Conceptual framework women empowerment through entrepreneurship in Bangladesh.
Demographic profiles of research units.
| Classification | Total | % | Samples | |
| Nature of business | Manufacturing Units | 200 | 25.16% | 795 |
| Services units | 595 | 74.84% | ||
| Yeas of establishment | less than 10 | 45 | 5.66% | 795 |
| between 10 to 15 years | 228 | 28.68% | ||
| between 15 to 20 years | 225 | 28.30% | ||
| more than 20 years | 297 | 37.36% | ||
| No. of employes | more than 150 | 175 | 22.01% | 795 |
| between 25 to 150 | 285 | 35.85% | ||
| less than 25 | 335 | 42.14% | ||
| Average revenue | more than 10 million | 75 | 9.43% | 795 |
| between 5 to 10 million | 280 | 35.22% | ||
| less than 5million | 440 | 55.35% |
Sources: authors’ accumulation (2021).
Outer loading and multicollinearity.
| WoE | WeD | AtF | TkH | FiL | VIF | |
| 0.835 | 1.5196 | |||||
| 0.853 | 1.3654 | |||||
| 0.894 | 2.4657 | |||||
| 0.917 | 1.1853 | |||||
| 0.882 | 2.8033 | |||||
| 0.859 | 1.2065 | |||||
| 0.884 | 1.5294 | |||||
| 0.919 | 2.71 | |||||
| 0.869 | 2.7213 | |||||
| 0.95 | 1.4729 | |||||
| 0.846 | 1.2612 | |||||
| 0.908 | 2.7544 | |||||
| 0.886 | 2.7006 | |||||
| 0.989 | 2.7763 | |||||
| 0.929 | 1.5659 | |||||
| 0.886 | 1.6421 | |||||
| 0.922 | 1.7591 | |||||
| 0.876 | 1.833 | |||||
| 0.866 | 2.9047 | |||||
| 0.904 | 2.5876 | |||||
| 0.958 | 1.1206 | |||||
| 0.972 | 2.2256 | |||||
| 0.893 | 1.446 | |||||
| 0.865 | 1.4727 | |||||
| 0.928 | 1.147 |
WoE, women empowerment; WeD, women entrepreneur development; AtF, access to finance; TkH, technical know-how; FiL, financial literacy.
Descriptive statistics of constructs.
| Min | Max | Mean | Std. Dev | |||
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| Access to Finance | 1.50 | 5.00 | 3.3422 | 1.10900 | ||
| Financial Literacy | 1.00 | 5.00 | 3.3424 | 1.26901 | ||
| Technological Know-how | 1.60 | 5.00 | 3.3219 | 1.20124 | ||
| Women Entrepreneurs Development | 1.00 | 5.00 | 3.2119 | 1.12176 | ||
| Empowerment of women | 1.50 | 5.00 | 3.2917 | 1.21075 | ||
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| Access to Finance | 1 | |||||
| Financial Literacy | 0.711 | 0.631 | ||||
| Technological Know-how | 0.762 | 0.638 | 1 | |||
| Women Entrepreneurs Development | 0.666 | 0.760 | 0.621 | 1 | ||
| Empowerment of women | 0.661 | 0.672 | 0.660 | 0.663 | 1 | |
**significant level at a 5%.
Reliability of constructs.
| Cronbach’s Alpha | rho_A | CR | AVE | |
| Access to Finance | 0.944 | 0.922 | 0.931 | 0.844 |
| Financial Literacy | 0.904 | 0.871 | 0.874 | 0.818 |
| Technological Know-how | 0.895 | 0.866 | 0.892 | 0.83 |
| Women Entrepreneurs Development | 0.892 | 0.876 | 0.897 | 0.816 |
| Empowerment of women | 0.933 | 0.845 | 0.898 | 0.841 |
Discriminant validity.
| Constructs | Fornell and Larcker | Hetreotrait-Monotrait | ||||||||
| WoE | WeD | AtF | TkH | FiL | WoE | WeD | AtF | TkH | FiL | |
| WoE | 0.9186 | 1 | ||||||||
| WeD | 0.713 | 0.9044 | 0.663 | 1 | ||||||
| AtF | 0.61 | 0.671 | 0.9110 | 0.799 | 0.673 | 1 | ||||
| TkH | 0.746 | 0.678 | 0.74 | 0.9033 | 0.632 | 0.797 | 0.82 | 1 | ||
| FiL | 0.635 | 0.684 | 0.691 | 0.628 | 0.9170 | 0.817 | 0.82 | 0.698 | 0.82 | 1 |
WoE, women empowerment; WeD, women entrepreneur development; AtF, access to finance; TkH, technical know-how; FiL, financial literacy.
Results of measurement model estimation.
| Υ | R2 | CR | AVE | The goodness of fit index | ||
| WoE1 | 0.954 | 0.910 | 0.952 | 0.769 | X2 = 25.6142 ( | |
| WoE2 | 0.929 | 0.863 | NFI= | 0.996 | ||
| WoE3 | 0.86 | 0.740 | RFI= | 0.915 | ||
| WoE4 | 0.927 | 0.859 | GFI= | 0.919 | ||
| WoE5 | 0.854 | 0.729 | IFI= | 0.942 | ||
| WoE6 | 0.902 | 0.814 | ||||
| WeD1 | 0.938 | 0.880 | 0.914 | 0.816 | CFI= | 0.982 |
| WeD2 | 0.956 | 0.914 | TLI= | 0.992 | ||
| WeD3 | 0.922 | 0.850 | RMSEA= | 0.01 | ||
| WeD4 | 0.856 | 0.733 | ||||
| WeD5 | 0.841 | 0.707 | ||||
| AtF1 | 0.923 | 0.852 | 0.916 | 0.823 | ||
| AtF2 | 0.901 | 0.812 | ||||
| AtF3 | 0.872 | 0.760 | ||||
| AtF4 | 0.903 | 0.815 | ||||
| AtF5 | 0.938 | 0.880 | ||||
| TkH1 | 0.889 | 0.790 | 0.822 | 0.805 | ||
| TkH2 | 0.922 | 0.850 | ||||
| TkH3 | 0.881 | 0.776 | ||||
| TkH4 | 0.898 | 0.806 | ||||
WoE, women empowerment; WeD, women entrepreneur development; AtF, access to finance; TkH, technical know-how; FiL, financial literacy.
Hypothesis testing with structural model.
| Relationships | Path | Std. Dev. | Goodness of fit-index | ||
|
| |||||
| AtF → WeD | 0.248 | 0.055 | 4.509091 | 0 | ( |
| AF → WoE | 0.166 | 0.067 | 2.477612 | 0 | RFI = 0.895 |
| TkH WeD | 0.184 | 0.068 | 2.705882 | 0.005 | GFI = 0.983 |
| TkH → WoE | 0.138 | 0.067 | 2.059701 | 0.023 | IFI = 0.938 |
| FiL → WeD | 0.159 | 0.066 | 2.409091 | 0.003 | CFI = 0.938 |
| FiL → WoE | 0.227 | 0.057 | 3.982456 | 0 | TLI = 0.922 |
| WoD → WoE | 0.215 | 0.065 | 3.307692 | 0 | RMSEA = 0.03 |
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| AIC = 312.01 | ||||
| AtF → WoD WoE | 0.157 | 0.074 | 2.121622 | 0.003 | PNFI = 0.723 |
| TkH - > WoD - > WoE | 0.08 | 0.055 | 1.454545 | 0.036 | PCFI = 0.745 |
| FiL - > WoD - > WoE | 0.113 | 0.061 | 1.852459 | 0.001 |
|
AtF, access to finance; FSS, family and social support; EI, educational issues; ATM, access to market network; TI, technological issues; SI, social issues; WESMEs, women entrepreneurs in SMEs; EW, empowerment of women.
The superscripts *** denotes the level of significance at a 1% level of significant.
Source: Smart PLS Output.
Hierarchical regression analysis.
| Model (1) | Model (2) | Model (3) | |
|
| |||
| AtF | 0.1273 | 0.2407 | 0.163 |
| TkH | 0.3086 | 0.1497 | 0.1527 |
| FiL | 0.1338 | 0.2266 | 0.2926 |
| GS | 0.1401 | 0.2533 | |
| SME training | 0.3008 | 0.2166 | |
| SS | 0.1527 | 0.3129 | |
| FS | 0.234 | 0.3186 | |
| Constant | 0.2361 | 0.1752 | 0.1401 |
| R2 | 0.4911 | 0.5847 | 0.7287 |
| Adj.R | 0.6032 | 0.8054 | 0.8893 |
| Change | 0.1121 | 0.2207 | 0.1606 |
| D-W stat | 2.538 | 2.446 | 2.386 |
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| AtF | 0.1206 | 0.2446 | 0.221 |
| TkH | 0.1893 | 0.1401 | 0.3038 |
| FiL | 0.1628 | 0.3246 | 0.1411 |
| GS | 0.1998 | 0.1462 | |
| SME training | 0.1223 | 0.1877 | |
| SS | 0.1515 | ||
| FS | 0.3202 | ||
| Constant | 0.3186 | 0.1314 | 0.2077 |
|
| 0.5148 | 0.6586 | 0.760 |
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| 0.6265 | 0.819 | 0.8845 |
|
| −0.1117 | 0.1604 | 0.1236 |
| D-W stat | 2.32 | 2.483 | 2.512 |
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| AtF | 0.2539 | 0.3314 | 0.3248 |
| TkH | 0.1382 | 0.3242 | 0.2098 |
| FiL | 0.3325 | 0.3248 | 0.2013 |
| GS | 0.1564 | 0.2541 | |
| SME training | 0.324 | 0.2167 | |
| SS | 0.2533 | ||
| FS | 0.2907 | ||
| Constant | 0.1461 | 0.2549 | 0.2829 |
|
| 0.4984 | 0.6278 | 0.694 |
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| 0.5666 | 0.7763 | 0.8882 |
|
| −0.0682 | 0.1485 | 0.1942 |
| D-W stat | 2.396 | 2.479 | 2.407 |
AtF, access to finance; FS, family support; SS, social security; GS, government support: FiL, Financial literacy; TkH, technical know-how; WeD, women entrepreneurs development; WoE, women empowerments.
The superscripts *** denotes the level of significance at a 1% level of significant.
Note that the values in () represents a standard error, and the value in [] represents the standard error of the coefficients.