AGDI currently has about 300 publications.
2020 |
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| 1. | Adekunle, Ibrahim A 2020. Abstract | Links | BibTeX | Tags: environment, governance, Institutions @unpublished{Asonguc, author = {Ibrahim A Adekunle}, url = {http://www.afridev.org/RePEc/agd/agd-wpaper/On-the-search-for-environmental-sustainability-in-Africa-the-role-of-governance.pdf}, year = {2020}, date = {2020-10-28}, abstract = {Africa remains the most affected by environmental degradation, thereby exacerbating the negative effect of climate change in the region. Little empirical credence has been leaned to the institutions-environmental sustainability relationship in Africa. This omission in the literature of environmental sustainability is abysmal, considering the role of institutions and government in ecological preservation. To inform policy and research on the subject matter, we estimated a balanced panel data of the indices of good governance and strong institutions to explain transformation to environmental sustainability using the dynamic system generalised method of moment estimator from 1996 through 2017. Findings suggested a positive relationship between the rule of law and regulatory quality and transformation to environmental sustainability. An inverse relationship between government effectiveness and environmental sustainability was established. We recommended concerted effort at an institutional level such that policy and punishment for violation of greenhouse strategies will be optimum.}, keywords = {environment, governance, Institutions}, pubstate = {published}, tppubtype = {unpublished} } Africa remains the most affected by environmental degradation, thereby exacerbating the negative effect of climate change in the region. Little empirical credence has been leaned to the institutions-environmental sustainability relationship in Africa. This omission in the literature of environmental sustainability is abysmal, considering the role of institutions and government in ecological preservation. To inform policy and research on the subject matter, we estimated a balanced panel data of the indices of good governance and strong institutions to explain transformation to environmental sustainability using the dynamic system generalised method of moment estimator from 1996 through 2017. Findings suggested a positive relationship between the rule of law and regulatory quality and transformation to environmental sustainability. An inverse relationship between government effectiveness and environmental sustainability was established. We recommended concerted effort at an institutional level such that policy and punishment for violation of greenhouse strategies will be optimum. |
| 2. | Asongu, Nicholas Odhiambo Simplice M A Energy Exploration and Exploitation, 2020. Abstract | Links | BibTeX | Tags: environment, governance @article{Asonguf, author = {Nicholas Odhiambo M Simplice A Asongu}, url = {https://journals.sagepub.com/doi/full/10.1177/0144598719900657}, doi = {10.1177/0144598719900657}, year = {2020}, date = {2020-10-26}, journal = {Energy Exploration and Exploitation}, abstract = {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 generalized method of moments. Bundled and unbundled governance dynamics are used, notably: (i) political governance (consisting of political stability and “voice and 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 carbon dioxide (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.}, keywords = {environment, governance}, pubstate = {published}, tppubtype = {article} } 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 generalized method of moments. Bundled and unbundled governance dynamics are used, notably: (i) political governance (consisting of political stability and “voice and 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 carbon dioxide (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. |
| 3. | Salau, Joseph Dada Mosunmola Adeyeye Daniel Ufua Odunayo A O E P 2020. Abstract | Links | BibTeX | Tags: environment, Nigeria @unpublished{Asongu_103, author = {Joseph Dada Mosunmola Adeyeye A O Daniel E. Ufua Odunayo P. Salau}, url = {http://www.afridev.org/RePEc/agd/agd-wpaper/Application-of-Systems-Approach-to-Achieving-Cleaner-and-Sustainable-Environment.pdf}, year = {2020}, date = {2020-02-18}, abstract = {This research explores waste management activities and the strive to achieve a cleaner environment for man’s habitation. The work applies a case study approach andthe use of observation method was applied in the data collection along with a description of the case of waste dumping issue on Idiroko Road, Ota, Ogun State, Nigeria. This study suggests the application of systems approach to enhance a participatory waste management practice, that embraces the involvement and active consultation of the concerned stakeholders for effective and sustainable waste management practice. The research also highlights the need for further research to consider the application of other data collection tools such asinterview and workshop to have a broaderdata needed to further explore the research area.}, keywords = {environment, Nigeria}, pubstate = {published}, tppubtype = {unpublished} } This research explores waste management activities and the strive to achieve a cleaner environment for man’s habitation. The work applies a case study approach andthe use of observation method was applied in the data collection along with a description of the case of waste dumping issue on Idiroko Road, Ota, Ogun State, Nigeria. This study suggests the application of systems approach to enhance a participatory waste management practice, that embraces the involvement and active consultation of the concerned stakeholders for effective and sustainable waste management practice. The research also highlights the need for further research to consider the application of other data collection tools such asinterview and workshop to have a broaderdata needed to further explore the research area. |
2011 |
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| 4. | Asongu, Brian Jingwa Simplice A A International Journal of Green Economics, 6 (4), pp. 317-330, 2011. Abstract | Links | BibTeX | Tags: Africa, agriculture, data modelling, deforestation, environment, human development index @article{Asongu_834, author = {Brian Jingwa A Simplice A. Asongu}, url = {http://dx.doi.org/10.1504/IJGE.2012.051493}, doi = {10.1504/IJGE.2012.051493}, year = {2011}, date = {2011-12-13}, journal = {International Journal of Green Economics}, volume = {6}, number = {4}, pages = {317-330}, abstract = {The rate of deforestation in Africa is of paramount concern not only to the future of Africa, but also to the world. This study uses country-level data to model changes in forest area over an 18 year period (1990–2007) in 35 African countries and investigates the role played by important development indicators of human development. The results reveal that the net loss of forests was 0.19% every year between 1990 and 2007. Human development, which involves life expectancy, education and income, is found to have a positive effect on forest growth and conservation, while logging trees for wood fuel is a significant cause of deforestation. Using generalised linear mixed models and generalised estimating equations, it was possible to calculate expected estimates of forest area for 2010, 2020 and 2030 under the assumption that nothing is done to change observed trends.}, keywords = {Africa, agriculture, data modelling, deforestation, environment, human development index}, pubstate = {published}, tppubtype = {article} } The rate of deforestation in Africa is of paramount concern not only to the future of Africa, but also to the world. This study uses country-level data to model changes in forest area over an 18 year period (1990–2007) in 35 African countries and investigates the role played by important development indicators of human development. The results reveal that the net loss of forests was 0.19% every year between 1990 and 2007. Human development, which involves life expectancy, education and income, is found to have a positive effect on forest growth and conservation, while logging trees for wood fuel is a significant cause of deforestation. Using generalised linear mixed models and generalised estimating equations, it was possible to calculate expected estimates of forest area for 2010, 2020 and 2030 under the assumption that nothing is done to change observed trends. |
