Classifying With Adaptive Hyper-Spheres: An Incremental Classifier Based on Competitive Learning

Li, Tie; Kou, Gang; Peng, Yi; Shi, Yong

doi:10.1109/tsmc.2017.2761360

Cited by 97 publications

(29 citation statements)

References 40 publications

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“…Consistent with contemporary literature (Asongu & Minkoua, 2018;Zhang et al, 2019;Li et al, 2014Li et al, , 2016Kou et al, 2012Kou et al, , 2014Kou et al, , 2016Kou et al, , 2019aKou et al, , 2019b, the adopted estimation technique is consistent with data behaviour. The GMM estimation approach is adopted for four fundamental reasons.…”

Section: Methodssupporting

confidence: 77%

Insurance and inequality in Sub‐Saharan Africa: policy thresholds

Asongu¹,

Odhiambo²

2019

Int Social Sci J

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In this study, we examine how insurance affects income inequality in sub-Saharan Africa, using data from 42 countries during the period 2004-2014. Three inequality variables are used, namely: the Gini coefficient, the Atkinson index and the Palma ratio. Two insurance premiums are employed, namely: life insurance and non-life insurance. The empirical evidence is based on the Generalized Method of Moments (GMM). Life insurance increases the Gini coefficient and increasing life insurance has a net positive effect on the Gini coefficient and the Atkinson index. Non-life insurance reduces the Gini coefficient and increasing non-life insurance has a net positive effect on the Palma ratio. The analysis is extended to establish policy thresholds at which increasing insurance premiums completely dampen the net positive effects. From the extended analysis, 7.500 of life insurance premiums (% of GDP) is the critical mass required for life insurance to negatively affect inequality, while 0.855 of non-life insurance premiums (% of GDP) is the threshold required for non-life insurance to negatively affect inequality. Policy thresholds are provided at which insurance penetration decreases income inequality in sub-Saharan Africa.

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Section: Methodssupporting

confidence: 77%

Insurance and inequality in Sub‐Saharan Africa: policy thresholds

Asongu¹,

Odhiambo²

2019

Int Social Sci J

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“…This research uses the beta (β) convergence technique that is in line with the methodological motivations of the paper, consistent with the bulk of literature on the imperative of the adopted estimation technique to be consistent with data behavior and study objective (Chao et al, 2019;Zhang et al, 2019;Li et al, 2014Li et al, , 2016Kou et al, 2012Kou et al, , 2014Kou et al, , 2016Kou et al, , 2019aKou et al, , 2019b). This procedure of estimation is typically in line with the income catch-up scholarship that has been assessed building on models of neoclassical growth, notably: Baumol (1986); Sala-i-Martin (1992, 1995) and Mankiw et al (1992).…”

Section: Methodsmentioning

confidence: 76%

Fighting African Capital Flight: Trajectories, Dynamics and Tendencies

2019

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An April 2015 World Bank report on attainment of the Millennium Development Goal (MDG) extreme poverty target has revealed that extreme poverty has been decreasing in all regions of the world with the exception of sub-Saharan Africa (SSA), in spite of the sub-region enjoying more than two decades of growth resurgence. This study builds on a critique of Piketty's 'capital in the 21 st century' and recent methodological innovations on reverse Solow-Swan to review empirics on the adoption of common policy initiatives against a cause of extreme poverty in SSA: capital flight. The richness of the dataset enables the derivation of 14 fundamental characteristics of African capital flight based on income-levels, legal origins, natural resources, political stability, regional proximity and religious domination. The main finding reveals that regardless of fundamental characteristic, from a projection date of 2010, a genuine timeframe for harmonizing policies is between 2016 and 2023. In other words, the beginning of the post-2015 agenda on sustainable development goals coincides with the timeframe for common capital flight policies.

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“…Following contemporary literature, the choice of the estimation technique is tailored to be consistent with the data behavior (Kou et al, 2012(Kou et al, , 2014(Kou et al, , 2016(Kou et al, , 2019a(Kou et al, , 2019bLi et al, 2014Li et al, , 2016Zhang et al, 2019). The GMM estimation strategy is premised on four foundations as documented in contemporary literature (Tchamyou, 2019(Tchamyou, , 2020.…”

Section: Gmm: Specification Identification and Exclusion Restrictionsmentioning

confidence: 99%

Enhancing Governance for Environmental Sustainability in Sub-Saharan Africa

Asongu

Odhiambo

2019

SSRN Journal

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This study assesses whether improving governance standards affects environmental quality in 44 countries in sub-Saharan Africa for the period 2000-2012. The empirical evidence is based on Generalised Method of Moments. Bundled and unbundled governance dynamics are used notably: (i) political governance (consisting of political stability and "voice & accountability"); (ii) economic governance (entailing government effectiveness and regulation quality), (iii) institutional governance (represented by the rule of law and corruption-control) and (iv) general governance (encompassing political, economic and institutional governance dynamics). The following hypotheses are tested: (i) Hypothesis 1 (Improving political governance is negatively related to CO2 emissions); (ii) Hypothesis 2 (Increasing economic governance is negatively related to CO2 emissions) and (iii) Hypothesis 3 (Enhancing institutional governance is negatively related to CO2 emissions. Results of the tested hypotheses show that: the validity of Hypothesis 3 cannot be determined based on the results; Hypothesis 2 is not valid while Hypothesis 1 is partially not valid. The main policy implication is that governance standards need to be further improved in order for government quality to generate the expected unfavorable effects on CO2 emissions.

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Classifying With Adaptive Hyper-Spheres: An Incremental Classifier Based on Competitive Learning

Cited by 97 publications

References 40 publications

Insurance and inequality in Sub‐Saharan Africa: policy thresholds

Insurance and inequality in Sub‐Saharan Africa: policy thresholds

Fighting African Capital Flight: Trajectories, Dynamics and Tendencies

Enhancing Governance for Environmental Sustainability in Sub-Saharan Africa

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