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Prince Amoako

Biographic Data

ID6587050
NAMEPrince Amoako
GIVEN NAMESPrince
FAMILY NAMEAmoako
SIGNATUREAMOAKO P
AFFILIATIONSKwame Nkrumah University of Science and Technology
ORCID0000-0001-9795-3147
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS1
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Unlocking Africa's Green Potentials for Sustainable Growth

    Open Access•Kyei Emmanuel Yeboah, Bo Feng et al.•ARTICLE•Sustainable Development•2025•Cited by: 1•References: 4

    This study examines the environmental determinants of CO 2 emissions across African countries from 2000 to 2020, employing Dynamic Common Correlated Effects (DCCE) and Bayesian Stochastic Quantile Regression (BSQR) approaches. The analysis reveals significant cross‐sectional dependence in environmental variables, particularly in renewable energy (51.2786, p < 0.01) and forest coverage (33.2233, p < 0.01). The DCCE estimation identifies substantia…

  • Why do cocoa farmers use unapproved pesticides? Empirical evidence from Obuasi Municipality, Ghana

    Open Access•Wilhemina Hyde-Cooper, Prince Asiedu et al.•ARTICLE•Cogent Social Sciences•2024

    To address the growing demand for increased crop yields while mitigating the adverse environmental impacts of agricultural practices, a comprehensive understanding of unapproved pesticide usage among cocoa farmers in Ghana is essential. This study employed a multi-stage sampling technique and administered questionnaires for 400 cocoa farmers. Data analysis encompassed a combination of descriptive and inferential statistics. Generally, the use of …

  • Unlocking Africa's Green Potentials for Sustainable Growth

    Open Access•Kyei Emmanuel Yeboah, Bo Feng et al.•ARTICLE•Sustainable Development•2025•Cited by: 1•References: 4

    This study examines the environmental determinants of CO 2 emissions across African countries from 2000 to 2020, employing Dynamic Common Correlated Effects (DCCE) and Bayesian Stochastic Quantile Regression (BSQR) approaches. The analysis reveals significant cross‐sectional dependence in environmental variables, particularly in renewable energy (51.2786, p < 0.01) and forest coverage (33.2233, p < 0.01). The DCCE estimation identifies substantia…

  • Why do cocoa farmers use unapproved pesticides? Empirical evidence from Obuasi Municipality, Ghana

    Open Access•Wilhemina Hyde-Cooper, Prince Asiedu et al.•ARTICLE•Cogent Social Sciences•2024

    To address the growing demand for increased crop yields while mitigating the adverse environmental impacts of agricultural practices, a comprehensive understanding of unapproved pesticide usage among cocoa farmers in Ghana is essential. This study employed a multi-stage sampling technique and administered questionnaires for 400 cocoa farmers. Data analysis encompassed a combination of descriptive and inferential statistics. Generally, the use of …

  • Unlocking Africa's Green Potentials for Sustainable Growth

    Open Access•Kyei Emmanuel Yeboah, Bo Feng et al.•ARTICLE•Sustainable Development•2025•Cited by: 1•References: 4

    This study examines the environmental determinants of CO 2 emissions across African countries from 2000 to 2020, employing Dynamic Common Correlated Effects (DCCE) and Bayesian Stochastic Quantile Regression (BSQR) approaches. The analysis reveals significant cross‐sectional dependence in environmental variables, particularly in renewable energy (51.2786, p < 0.01) and forest coverage (33.2233, p < 0.01). The DCCE estimation identifies substantia…

Business (2 works) · Environmental Science (2 works) · Agricultural Innovations and Practices (1 work) · Agricultural science (1 work) · Agronomy (1 work) · Biology (1 work) · Cocoa and Sweet Potato Agronomy (1 work) · Economics (1 work) · Electric Vehicles and Infrastructure (1 work) · Empirical evidence (1 work)

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