Measuring technology inequality across African countries using the concept of efficiency Gini coefficient

Qu, Jingjing; Li, Aijun; N'Drin, Morié Guy-Roland

doi:10.1007/s10668-022-02236-3

Cited by 4 publications

(4 citation statements)

References 81 publications

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“…According to previous studies on African countries, the performance of health systems was generally low or moderately efficient based on scores (Africa 2023; Ibrahim et al 2019; Kirigia 2015; Musoke et al 2023; Qu et al 2023; Top et al 2020). The World Health Organization (WHO) reported an average technical efficiency score of 0.79 across its 47 member countries in 2019 (Africa 2023).…”

Section: Discussionmentioning

confidence: 93%

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Evaluating the Financial Factors Influencing Maternal, Newborn, and Child Health in Africa

Youssef,

Meriem

2024

Preprint

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The study investigated the impact of healthcare system efficiency on the delivery of maternal, newborn, and child services in Africa. Data Envelopment Analysis and Tobit regression were employed to assess the efficiency of 46 healthcare systems across the continent, utilizing the Variable Returns to Scale model with Input orientation to evaluate technical efficiency. The Tobit method was utilized to explore factors contributing to inefficiency, with inputs variables including hospital, physician, and paramedical staff, and outputs variables encompassing maternal, newborn, and child admissions, cesarean interventions, functional competency, and hospitalization days.Results revealed that only 26% of countries exhibited efficiency, highlighting a significant proportion of 74% with inefficiencies. Financial determinants such as current health expenditures, comprehensive coverage index, and current health expenditure per capita were found to have a negative impact on the efficiency of maternal-child services. These findings underscore a marginal deficiency in technical efficiency within Africa’s healthcare systems, emphasizing the necessity for policymakers to reassess the roles of both human resources and financial dimensions in enhancing healthcare system performance.

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Section: Discussionmentioning

confidence: 93%

“…However, Qu et al undertook a comparative analysis encompassing 49 African countries from 2000 to 2017. They introduced an innovative methodology that amalgamates Data Envelopment Analysis (DEA) with the Gini coefficient to assess the efficacy of technology inequality in addressing environmental issues (Qu, Li, et N’Drin 2023).…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Financial Factors Influencing Maternal, Newborn, and Child Health in Africa

Youssef,

Meriem

2024

Preprint

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“…Investment in green technology innovation should help improve green growth and environmental efficiency. Meanwhile, the share of renewable energy increased by 20.7% in Africa (BP, 2020; Qu et al, 2022). Policymakers should prioritize improved technology and adopt more advanced technology in the natural resource sector to enhance environmental sustainability on the continent.…”

Section: Data Usedmentioning

confidence: 99%

“…In this regard, improving green productivity development in Africa has become a critical policy concern due to rising carbon emissions and environmental governance issues (Adom et al, 2018;Qu et al, 2022). Africa's economic expansion activities have led to increased energy usage.…”

Section: Introductionmentioning

confidence: 99%

Transitions towards green productivity in Africa: Do sovereign debt vulnerability, eco‐entrepreneurship, and institutional quality matter?

Amowine,

Balezentis,

Zhou

et al. 2023

Sustainable Development

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Improving green productivity (GP) is critical for achieving global sustainable green development. Yet, past efficiency studies on the African continent have ignored Africa's GP, estimation, and driving factors. Specifically, the role of sovereign debt vulnerability, environmental entrepreneurship, and institutional quality in ensuring Africa's green productivity development is lacking. Therefore, this study built a meta‐frontier biennial weighted modified data envelopment analysis (DEA) model to evaluate green productivity across resource‐intensive and non‐resource‐intensive African countries from 2010 to 2019. Further, the study adopted the global Malmquist‐Luenberger productivity index (GML) to investigate the dynamic changes in African green productivity growth. The results suggest that only a few African countries are efficient, implying more room for improvement for the other countries. The heterogeneity of green productivity across the resource's classification exhibits significant disparity. The technology gap also prevails among the two resource classifications of African countries. The GML index indicates that Africa's green productivity is mainly explained by technical change instead of efficiency change. The bootstrap truncation regression suggests an inverted U‐shaped nexus between growth and green productivity in Africa and resource‐intensive countries (RIC). Green environmental entrepreneurship positively affects green productivity in Africa. On the components of institutional quality, we observed that the rule of law positively influences green productivity in non‐resource‐intensive countries (NRIC) and the whole of Africa. In contrast, political stability, government effectiveness, voice and corruption negatively affected green productivity in NRIC. Also, foreign direct investment (FDI) and sovereign debt vulnerability negatively correlate to green productivity in Africa as a whole and NRIC, respectively. The findings of this study aid in raising awareness of green productivity in developing countries, which is crucial in boosting global green development.

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The impact of forestation and renewable energy utilisation on environmental efficiency in Africa

Amowine

2023

Economic Research-Ekonomska Istraživanja

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Measuring technology inequality across African countries using the concept of efficiency Gini coefficient

Cited by 4 publications

References 81 publications

Evaluating the Financial Factors Influencing Maternal, Newborn, and Child Health in Africa

Evaluating the Financial Factors Influencing Maternal, Newborn, and Child Health in Africa

Transitions towards green productivity in Africa: Do sovereign debt vulnerability, eco‐entrepreneurship, and institutional quality matter?

The impact of forestation and renewable energy utilisation on environmental efficiency in Africa

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