2020
DOI: 10.1108/jed-03-2020-0027
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Measuring financial inclusion: a composite FI index for the developing countries

Abstract: PurposeThe purpose of this paper is to focus on measuring financial inclusion (FI) level for the developing countries.Design/methodology/approachBy using a two-stage principal component analysis method, we construct a composite FI index to measure the degree of FI. Data are collected through secondary sources including World Bank and IMF reports for the period 2012–2018.FindingsWe have built an overall FI index which is considered as a comprehensive measure of FI, a useful tool for policymaking and policy eval… Show more

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Cited by 86 publications
(67 citation statements)
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References 32 publications
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“…Through the PCA method, eigenvalues of each sub-index are calculated, and the latent variables: access (D i A ) and usage (D i U ), are estimated as shown below in Table 9. The highest eigenvalue of the components retains more standardized variance, among others, and an eigenvalue greater than 1 is considered for the analysis (Nguyen, 2020). Table 9 shows the results of the firststage PCA.…”
Section: First-stage Pca Resultsmentioning
confidence: 99%
“…Through the PCA method, eigenvalues of each sub-index are calculated, and the latent variables: access (D i A ) and usage (D i U ), are estimated as shown below in Table 9. The highest eigenvalue of the components retains more standardized variance, among others, and an eigenvalue greater than 1 is considered for the analysis (Nguyen, 2020). Table 9 shows the results of the firststage PCA.…”
Section: First-stage Pca Resultsmentioning
confidence: 99%
“…ATMs offered significant benefits to banks by providing convenience, reducing the workload, and minimizing transaction costs. Similar to prior research methodologies [43,77,78], two measurements to cover the services of the banking sector, namely outstanding deposits and outstanding loans (as a % of GDP), were utilized to cover deposits and credits, respectively.…”
Section: Data and Variablesmentioning
confidence: 99%
“…The highest eigenvalue of the components retains more standardized variance, among others, and an eigenvalue greater than 1 is considered for the Table 6. 10 See Table 5. analysis (Nguyen, 2020). Table 8 shows the results of the first-stage PCA.…”
Section: First-stage Pca Resultsmentioning
confidence: 99%