Suchergebnisse

Purpose
The purpose of this study is to investigate the relationship between corruption, corporate governance and sustainable development goals (SDGs) in Africa.


Design/methodology/approach
The authors use panel data from 42 African countries over the period 2017–2020 and ordinary least square regression to test the research hypotheses. The authors also use alternative estimation techniques, including the fixed effect and random effect regressions and the generalized method of moment, to test the robustness of the results.


Findings
The results indicate that corruption negatively affects sustainable development (SD), whereas the effect of corporate governance is positive and significant. In addition, the positive influence of corporate governance on SD is stronger for countries with high corruption prevalence.


Practical implications
Policymakers may rely on the outcome of this study to formulate practical and implementable solutions around corruption and corporate governance that can help toward the achievement of the SDGs. Specifically, corporate governance mechanisms may be relied upon to achieve SD in countries with a high corruption prevalence.


Social implications
The social implication of this paper is that it demonstrates the adverse impact of corruption, which is rife in most African countries. Understanding corruption and the SDGs relationship will promote discussion with overarching implications for developing countries. Overall, the findings can sensitize society to the harmful effects of corruption and the positive effects of good corporate governance.


Originality/value
This paper contributes to literature and practice by demonstrating that corporate governance plays a significant role in the realization of national and global objectives such as the SDGs. This paper also provides novel evidence that corporate governance matters more in countries with a higher corruption incidence.

The purpose of this research is to analyse the effect of Urban Expansion on Land Use/Cover Change in Dutse, Jigawa State, Nigeria. Landsat TM and ETM+ satellite imageries of 1986, 2000 and 2014 respectively, were used. The imageries were processed using ERDAS IMAGINE 9.2 software. A supervised classification approach using maximum likelihood classifier and Transition Change Analysis were carried out using IDRISSI 17.0 Selva Edition version. Results from the analysis revealed that increase in built-up area resulted to changes in other land use/cover categories between 1986 and 2014. Built up area was 20.4% in 1986 and increased to 28.4% in 2000. Further increase was witnessed in built up area to about 38.2% in 2014. The results further revealed that about 7.2% bare surfaces changed into built-up from 1986-2014. About 14.8% of cultivated land changed into built-up from 1986-2014. Vegetation witnessed a remarkable changes into built-up of about 4.5% from 1986-2014. There is need for Jigawa State Government to equip the planning authorities and other ministries involved in decision making with adequate spatial data to ensure broad based decisions. Land use suitability analysis of the study area is also recommended.