Towards sustainability: Does energy efficiency reduce unemployment in African societies?

Agradi, Mawunyo Prosper; Adom, Philip Kofi; Vezzulli, Andrea

doi:10.1016/j.scs.2022.103683

Cited by 23 publications

(27 citation statements)

References 75 publications

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“…On the empirical front, there is a growing body of research highlighting the crucial role of EE for both environmental and social progress. For instance, recent studies based on instrumental variable regression, and which focused on Africa showed that EE promotes economic growth and poverty alleviation (Agradi et al 2022;Adom et al 2021). Similarly, Bataille and Melton (2017) use a recursive CGE model to estimate the impact of EE improvements on GDP, employment, economic structure, and welfare in Canada.…”

Section: Relationship Between Ee and Igg: Theoretical And Empirical P...mentioning

confidence: 99%

“…Among the several techniques for generating energy efficiency (EE) scores, the Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) methods stand out (see Agradi et al 2022;Adom et al, 2021Adom et al, , 2018Ohene-Asare et al 2020;Hu et al 2019;Mutz et al, 2017;Kumbhakar et al 2014;Filippini & Hunt, 2011). This study opts for the latter on grounds of econometric prudence.…”

Section: Estimation Of Energy Efficiencymentioning

confidence: 99%

“…In this regard, we follow the approach of Adom et al (2021) and Filippini and Hunt (2011) by specifying a single conditional energy demand frontier function as apparent in Equation 1. In line with Agradi et al (2022), we proceed by specifying a Cobb-Douglas energy demand function as seen in Equation (2), which is then linearised by way of logarithmic transformation to obtain Equation (3).…”

Section: Estimation Of Energy Efficiencymentioning

confidence: 99%

“…Following prior contributions in the energy demand literature, we capture the control variables (8 -. ) by: industrialisation (lnind), trade openness (lntrade), and human capital (hc) (see Agradi et al 2022;Adom et al, 2021;Adom, 2020a;Adom, 2019a;Adom et al, 2018;Zhang & Adom, 2018;Filippini & Hunt, 2011). Next, we obtain the energy efficiency scores by taking the exponential of (−: !"…”

Section: Estimation Of Energy Efficiencymentioning

confidence: 99%

“…) while accounting for unobserved country-specific heterogeneities [G -] in Equations ( 6) and ( 7). we follow the approach of Agradi et al (2022), Alberini and :…”

Section: Estimation Of Energy Efficiencymentioning

confidence: 99%

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Towards Inclusive Green Growth in Africa: Critical Energy Efficiency Synergies and Governance Thresholds

2022

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Section: Relationship Between Ee and Igg: Theoretical And Empirical P...mentioning

confidence: 99%

Section: Estimation Of Energy Efficiencymentioning

confidence: 99%

Section: Estimation Of Energy Efficiencymentioning

confidence: 99%

Section: Estimation Of Energy Efficiencymentioning

confidence: 99%

“…) while accounting for unobserved country-specific heterogeneities [G -] in Equations ( 6) and ( 7). we follow the approach of Agradi et al (2022), Alberini and :…”

Section: Estimation Of Energy Efficiencymentioning

confidence: 99%

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Towards Inclusive Green Growth in Africa: Critical Energy Efficiency Synergies and Governance Thresholds

2022

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Material demand and material efficiency for sustainable development in the European Union countries: A stochastic frontier analysis

Alataş

Hiçyılmaz

Karakaya

2023

Sustainable Development

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Materials are of great importance as they are fundamentally integrated into many different critical topics, including green transition, technological progress, industrial emissions, and supply chains. Therefore, the amount of materials we demand and employ in the production process or how efficiently we use them become highly crucial. In this paper, we study the emerging role of materials with a special focus on the key role of material efficiency (ME) in climate mitigation. To this end, we empirically investigate the main determinant of material demand and evaluate the ME performance in the European Union (EU) countries over the period of 1995–2019 based on a four‐component Stochastic Frontier Analysis (SFA) panel data approach that separates unobserved country effects from persistent and transient inefficiency. We obtain the following outcomes. First, material demand function estimates reveal that economic growth and energy consumption are the main drivers of domestic material consumption, highlighting the need for promoting sustainable energy and economic growth. Second, although the SFA‐based ME scores significantly vary across countries, transient inefficiency is the main source of overall inefficiency for most countries, suggesting that there is considerable potential for improvement in ME. While Finland, Sweden, Denmark, Bulgaria, Cyprus, France, and Slovenia improve their ME performance over time, the ME score of some other countries, such as Ireland, Portugal, Italy, Spain, and the Slovak Republic reveal an opposite outcome. Third, the results show that material intensity is not always a good proxy for ME.

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Evaluating the impact of agricultural production efficiency on sustainable development goals in coffee‐producing countries in Africa

Yang,

Wang,

et al. 2023

Sustainable Development

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Climate change has directly impacted coffee‐producing regions in Africa. This study uses the two stage Dynamic Network Directional Distance Function (DN‐DDF) and Malmquist Productivity Index (MPI) methods to evaluate the efficiency and productivity changes of agricultural production and sustainable development in 19 African coffee‐producing countries from 2014 to 2018. According to the empirical results, Central African Republic, Ethiopia, Liberia, Uganda, and Zambia have the highest overall efficiency. This study has three main contributions: (1) using a two‐stage model to evaluate the impact of agricultural production efficiency on sustainable development efficiency, (2) using a dynamic model with forest area as a cross‐period variable to reflect the real‐world phenomenon of coffee relying on forest mixed planting, and (3) objectively evaluating the impact of extreme weather on agricultural production by using rainfall as an exogenous variable to address previous research shortcomings. The results of this study can promote the improvement of agricultural production efficiency in African coffee‐producing countries and provide important reference value for sustainable development goals.

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Towards sustainability: Does energy efficiency reduce unemployment in African societies?

Cited by 23 publications

References 75 publications

Towards Inclusive Green Growth in Africa: Critical Energy Efficiency Synergies and Governance Thresholds

Towards Inclusive Green Growth in Africa: Critical Energy Efficiency Synergies and Governance Thresholds

Material demand and material efficiency for sustainable development in the European Union countries: A stochastic frontier analysis

Evaluating the impact of agricultural production efficiency on sustainable development goals in coffee‐producing countries in Africa

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