The impact of trade on African welfare: Does seaport efficiency channel matter?

Ayesu, Enock Kojo; Sakyi, Daniel; Arthur, Eric; Osei-Fosu, Anthony Kofi

doi:10.1016/j.resglo.2022.100098

Cited by 11 publications

(8 citation statements)

References 31 publications

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“…In the econometric specification, we transformed Equation into its panel logarithmic estimable form to facilitate ease of interpretation in elasticities and to address potential outliers in the measurement of variables (Ayesu et al, 2022), as shown in Equation .

{lnW}_{it} goodbreak= α goodbreak+ β_{1} italicln {TNR}_{it} goodbreak+ β_{2} {lnPIES}_{it} goodbreak+ β_{3} italicln {GDP}_{it} goodbreak+ β_{4} italicln {URB}_{it} goodbreak+ β_{5} italicln {TO}_{it} goodbreak+ β_{6} {lnFDI}_{it} goodbreak+ β_{7} italicln {CPI}_{it} goodbreak+ φ_{i} goodbreak+ γ_{t} goodbreak+ ϵ_{it}

where

φ_{i} and γ_{t}

capture the individual specific effect, and period fixed effect, respectively. The ε denotes the stochastic error term, i , cross‐section, t , time,

α

, constant and the

β_{1} \dots \dots \dots β_{7}

are the respective parameter coefficients to be estimated.…”

Section: Methodsmentioning

confidence: 99%

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Natural resource dependence, policy and institutions for environmental sustainability and African welfare

Mpuure,

Mengba

2023

Sustainable Development

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In developing countries, particularly in Africa, dependence on natural resources poses a threat to development, leading to poor health, reduced productivity, and increased poverty among nations. This raises significant concerns for the prospects and welfare of Africa, given the rising environmental pollution. However, the literature on the mitigating effect of policies and institutions for environmental sustainability (PIES) on resource‐dependent countries in Africa is scarce. As a result, this study explores the effects of natural resource dependence and the mediating effect of PIES on under‐five mortality and human development in Africa. This novel hypothesis may contribute to the divergent differences in African welfare. Using a panel of 30 resource‐dependent countries spanning 2005 to 2021 and employing the two‐step dynamic generalized method of moments, the study provides evidence in support of the novel hypothesis. The findings show that dependence on natural resources can be either a blessing or a curse for African countries, depending on the degree to which environmental sustainability is embraced. Furthermore, a heterogeneous analysis demonstrates significant support for countries with high policies and institutions for environmental sustainability in mitigating the negative impacts of natural resource dependence on welfare. The study concludes that dependence on natural resources without environmental sustainability cannot guarantee a balance between the well‐being of the economy and the environment. Therefore, environmental management should not be politically motivated so as to sustainably improve human well‐ being in Africa.

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{lnW}_{it} goodbreak= α goodbreak+ β_{1} italicln {TNR}_{it} goodbreak+ β_{2} {lnPIES}_{it} goodbreak+ β_{3} italicln {GDP}_{it} goodbreak+ β_{4} italicln {URB}_{it} goodbreak+ β_{5} italicln {TO}_{it} goodbreak+ β_{6} {lnFDI}_{it} goodbreak+ β_{7} italicln {CPI}_{it} goodbreak+ φ_{i} goodbreak+ γ_{t} goodbreak+ ϵ_{it}

where

φ_{i} and γ_{t}

capture the individual specific effect, and period fixed effect, respectively. The ε denotes the stochastic error term, i , cross‐section, t , time,

α

, constant and the

β_{1} \dots \dots \dots β_{7}

are the respective parameter coefficients to be estimated.…”

Section: Methodsmentioning

confidence: 99%

“…In the econometric specification, we transformed Equation 1 into its panel logarithmic estimable form to facilitate ease of interpretation in elasticities and to address potential outliers in the measurement of variables (Ayesu et al, 2022), as shown in Equation 3.…”

Section: Model Specificationmentioning

confidence: 99%

Natural resource dependence, policy and institutions for environmental sustainability and African welfare

Mpuure,

Mengba

2023

Sustainable Development

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“…On the African continent, (Mlambo, 2021) assessed Africa's port performance, revealing a positive impact on trade (Ayesu et al, 2022;Ayesu et al, 2023). Investigated the pivotal role of seaport efficiency in shaping the relationship between trade activities and welfare outcomes in 28 African countries from 2006 to 2018.…”

Section: Empirical Reviewmentioning

confidence: 99%

“…Furthermore, existing empirical research, often employing cross-country or regional approaches (Chang et al, 2021;Sakyi and Immurana, 2021;Ayesu et al, 2022), overlooks individual country experiences. This literature gap presents an opportunity for the current study to address the unique economic characteristics, policy frameworks, and regional dynamics of Ghana, contributing to a better understanding of the relationship between seaport efficiency and economic growth.…”

Section: Seaport Efficiency and Economic Growthmentioning

confidence: 99%

Navigating prosperity: the impact of seaport efficiency on economic growth in Ghana’s maritime landscape

Baafi

2024

MAEM

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PurposeThis study aims to investigate the impact of seaport efficiency on economic growth in Ghana over the period 2006–2020.Design/methodology/approachComprehensive methodology, diverse data analysis techniques, including Augmented Dickey–Fuller tests, autoregressive distributed lag (ARDL) modeling and Granger Causality, were applied to explore the intricate relationship between Seaport Efficiency and Economic Growth.FindingsThe findings reveal a statistically significant and positive association between seaport efficiency and GDP, underscoring the crucial role of efficient seaport operations in actively stimulating economic growth. Beyond seaport efficiency, influential factors such as capital, human capital, knowledge spillover and productive capacities were identified, contributing to the dynamics of economic growth.Research limitations/implicationsThe Granger Causality Test solidifies seaport efficiency as a robust predictor of GDP fluctuations, emphasizing its significance in economic forecasting. Notably, this study contributes to the existing body of knowledge with its nuanced exploration of the intricate relationship between seaport efficiency and economic growth in the specific context of Ghana.Practical implicationsThis study’s implications extend beyond academia, offering invaluable guidance for policymakers and planners. It serves as a comprehensive roadmap for informed decision-making, emphasizing the pivotal role of efficient seaports in charting a trajectory for enduring and resilient economic progress in the nation.Originality/valueWhile the broader theme has been explored in existing literature, the uniqueness of this study lies in its specific application to the Ghanaian context. The choice of Ghana, a nation where maritime transport handles over 90% of trade, underscores the significance of understanding seaport efficiency in this regional and economic setting. The study’s originality is reinforced by incorporating diverse economic variables, aligning with recommendations for a comprehensive analysis of factors influencing port performance.

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“…Seaports are crucial nodes in the maritime transportation network, playing a vital role in the reception, unloading, and transshipment of commodities and minerals. Statistically, almost 80% of the total volume of worldwide commerce trade is conducted via maritime transportation [4]. The process of transferring raw materials from seaports to industries is performed through mechanical systems such as the Grab-Type Ship Unloader (GTSU) system, stackers, and reclaimers.…”

Section: Introductionmentioning

confidence: 99%

Design of an AI Model for a Fully Automatic Grab-Type Ship Unloader System

Ngo,

Lee,

Kim

et al. 2024

JMSE

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In seaports, the automatic Grab-Type Ship Unloader (GTSU) stands out for its ability to automatically load and unload materials, offering the potential for substantial productivity improvement and cost reduction. Developing a fully automatic GTSU, however, presents a unique challenge: the system must autonomously determine the position of the cargo hold and the coordinates of the working point and identify potential hazards during material loading and unloading. This paper proposes AI models designed to detect cargo holds, extract working points, and support collision risk warnings, utilizing both the LiDAR sensor and the camera in the GTSU system. The model for cargo hold detection and collision warning was developed using image data of the cargo hold and grab, employing the You Only Look Once model. Concurrently, the model responsible for extracting the coordinates of working points for the GTSU system was designed by integrating the cargo hold detection and point cloud processing models. After testing the AI models for the lab-scale GTSU, the results show that the cargo hold detection and collision warning models achieve an accuracy of approximately 96% and 90%, respectively. Additionally, the working point coordinates extracted from the sensor system show a deviation of 5–10% compared to traditional measurements.

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The impact of trade on African welfare: Does seaport efficiency channel matter?

Cited by 11 publications

References 31 publications

Natural resource dependence, policy and institutions for environmental sustainability and African welfare

Natural resource dependence, policy and institutions for environmental sustainability and African welfare

Navigating prosperity: the impact of seaport efficiency on economic growth in Ghana’s maritime landscape

Design of an AI Model for a Fully Automatic Grab-Type Ship Unloader System

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