Abstract:This study examined the effect of human capital development on the economic growth of Nigeria. In achieving this, the human capital variables of education and health care were included in the study. The study employed the Autoregressuve and Distributive Lag (ARDL) model to annual series covering the period 1983 to 2018 for analysis. The findings of the study revealed the presence of a long-run association among the stuady variables. Further, it was discovered that in both the short and long run, both componen… Show more
“…The negative effect of ODA on economic growth corroborates and lends credence to earlier studies (Adedokun, 2017;Mustafa et al, 2019;Hussain et al, 2018;Niyonkuru, 2016;Pohwani et al, 2019;Quy, 2016;Tang and Bundhoo, 2017;Weerasingha and Mustafa, 2019), which established that foreign aid had a negative or insignificant impact on economic growth. Nevertheless, the result shows that the coefficient of HCD is À0.0742, with a probability value of 0.9196, which is statistically insignificant, which is in line with earlier studies (Abubakar et al, 2020;Omankhanlen et al, 2014;Tsaurai, 2017). The result indicates that the current stock of human capital in South Asia and Africa does not stimulate economic growth.…”
Section: Human Capital Interactionsupporting
confidence: 90%
“…Using enveloping data test, Omankhanlen et al (2014) found that between 1990 and 2011, the HCD variable impeded economic growth. The findings of Tsaurai (2017) and Abubakar et al (2020) for developing economies further deepen the argument that HCD is growth-inhibiting.…”
Section: Empirical Literaturementioning
confidence: 75%
“…Despite the dominance of a positive relationship HCD effect of economic growth, a growing number of studies had found contradicting evidence, when they concluded that HCD had either a negative or an insignificant role in economic growth (Abubakar et al, 2020;Mehrara and Musai, 2013;Omankhanlen et al, 2014;Orisadare et al, 2018;Tsaurai, 2017). Mehrara and Musai (2013) analysed the relationship between HCD and economic growth in developing economies and concluded that economic growth was not driven by HCD over the period 1970-2010.…”
Purpose
The purpose of this study is to examine the interactive role of human capital development (HCD) in foreign aid-growth relations in South Asia and sub-Saharan Africa countries from 1985–2019.
Design/methodology/approach
The study used panel data that cut across all countries in South Asia and sub-Saharan Africa collected from The World Bank’s Development Indicators. The data were analysed using Bai and Ng panel unit root idiosyncratic cross-sectional tests and the system generalised method of moments (SGMM).
Findings
The study found that foreign aid and HCD have negative impacts on economic growth. Fortunately, the interaction of human capital with foreign aid reduces the extent to which foreign aid impedes economic growth. The presumption is that South Asia and sub-Saharan Africa economies had not reaped the potential growth effect of foreign aid inflows due to high illiteracy rates and weak social capacities. The peculiarity of these regions hinders the absorptive capacity to transform positive externality associated with foreign aid into sizeable economic prosperity.
Practical implications
It is imperative for South Asia and sub-Saharan Africa countries to not depend on foreign aid; instead, the strategic action by policymakers should be to developing sustainable social capacities with HCD as the centre-piece.
Originality/value
The highpoint of this study is its inter-regional approach and the interplay between human capital and foreign aid using the second generation panel unit root estimator and the SGMM approaches.
“…The negative effect of ODA on economic growth corroborates and lends credence to earlier studies (Adedokun, 2017;Mustafa et al, 2019;Hussain et al, 2018;Niyonkuru, 2016;Pohwani et al, 2019;Quy, 2016;Tang and Bundhoo, 2017;Weerasingha and Mustafa, 2019), which established that foreign aid had a negative or insignificant impact on economic growth. Nevertheless, the result shows that the coefficient of HCD is À0.0742, with a probability value of 0.9196, which is statistically insignificant, which is in line with earlier studies (Abubakar et al, 2020;Omankhanlen et al, 2014;Tsaurai, 2017). The result indicates that the current stock of human capital in South Asia and Africa does not stimulate economic growth.…”
Section: Human Capital Interactionsupporting
confidence: 90%
“…Using enveloping data test, Omankhanlen et al (2014) found that between 1990 and 2011, the HCD variable impeded economic growth. The findings of Tsaurai (2017) and Abubakar et al (2020) for developing economies further deepen the argument that HCD is growth-inhibiting.…”
Section: Empirical Literaturementioning
confidence: 75%
“…Despite the dominance of a positive relationship HCD effect of economic growth, a growing number of studies had found contradicting evidence, when they concluded that HCD had either a negative or an insignificant role in economic growth (Abubakar et al, 2020;Mehrara and Musai, 2013;Omankhanlen et al, 2014;Orisadare et al, 2018;Tsaurai, 2017). Mehrara and Musai (2013) analysed the relationship between HCD and economic growth in developing economies and concluded that economic growth was not driven by HCD over the period 1970-2010.…”
Purpose
The purpose of this study is to examine the interactive role of human capital development (HCD) in foreign aid-growth relations in South Asia and sub-Saharan Africa countries from 1985–2019.
Design/methodology/approach
The study used panel data that cut across all countries in South Asia and sub-Saharan Africa collected from The World Bank’s Development Indicators. The data were analysed using Bai and Ng panel unit root idiosyncratic cross-sectional tests and the system generalised method of moments (SGMM).
Findings
The study found that foreign aid and HCD have negative impacts on economic growth. Fortunately, the interaction of human capital with foreign aid reduces the extent to which foreign aid impedes economic growth. The presumption is that South Asia and sub-Saharan Africa economies had not reaped the potential growth effect of foreign aid inflows due to high illiteracy rates and weak social capacities. The peculiarity of these regions hinders the absorptive capacity to transform positive externality associated with foreign aid into sizeable economic prosperity.
Practical implications
It is imperative for South Asia and sub-Saharan Africa countries to not depend on foreign aid; instead, the strategic action by policymakers should be to developing sustainable social capacities with HCD as the centre-piece.
Originality/value
The highpoint of this study is its inter-regional approach and the interplay between human capital and foreign aid using the second generation panel unit root estimator and the SGMM approaches.
“…Bakare et al [63] examined the extent to which banks' credit affects economic growth in Nigeria. The data used was collected from the Central Bank of Nigeria statistical bulletin for a period of 24 years from 1990 to 2013.…”
In this study, the effect of sectoral allocation of deposit money banks' credit on the growth of the Nigerian real economy from 2008Q 1 to 2017Q 4 was evaluated. We were inspired by the unsettled disparity in empirical literature on the effect of sectoral allocation of deposit money banks credit on the growth of the real economy. Specifically, we ascertained the effect of deposit money banks' sectoral credit on agricultural, industrial, building & construction and wholesale & retail trade
Original Research Article
“…A loan default occurs when the borrower does not make required payments or in one way or the other way does not adhere to the terms of a loan [11]. The study, the Extent that Bank Credit Stimulate Economic Growth revealed that the lagged value of credit to the private sector is positively and significantly influencing economic growth in Nigeria while the lagged value of credit to the public sector shows a positively insignificant relationship with GDP [12]. Also in a research, "perceived loan risk and Ex Post Default" the outcome showed that the banks screening criteria was limited by the presence of information asymmetry [13].…”
Section: Loan Performance Rate In Nigeriamentioning
The study was carried out to identify relevant attributes that signals the capacity of borrower to pay back the loan and determine the fit of mathematical scoring model to evaluate credit worthiness of a potential borrower. The data was taken from primary and secondary sources which was through the use of questionnaires (primary source) while the secondary source was collection of data from all the financial statements of selected business owners in Ekpoma, Edo State credits history of these business owners as well. The descriptive research and the explanatory research designs were employed in this study. Two research questions were raised while one hypothesis was formulated to guide the study. Thirty five (35) business owners were randomly selected from Ekpoma metropolis of Edo state for this study based on loan applications and business capacity. The data collected were analyzed using Altman Z-scores, frequencies and percentages while the Pearson Product Moment Correlation Co-efficient was used to determine the relationship between Mathematical Scoring model and credits worthiness. The result showed that credit scores developed from borrower financial and non-financial records and history such as turnover, assets, previous loan repayment rate and trading capital perfectly classified them into five risk classes of A (Worthy and very able to payback), B (worthy and less able to pay back) and D (not worthy at all). The result revealed that credit score can safe award banks and creditors against credit risk default and loss of money. It was therefore recommended among others, that banks and credit facilities handlers should adopt mathematical credit scoring techniques to avoid loss of their money.
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