Why is Ghana losing the war against illegal gold mining (Galamsey)? An artificial neural network-based investigations.

Ghana, like most resource-rich countries, is saddled and inundated with resource curse challenges. Key among them is the problem of illegal small-scale gold mining activities (ISSGMAs), which is mercilessly robbing the nation of its ecological integrity, despite attempts by successive governments to remedy the situation. In the midst of this challenge, Ghana, year in and year out, performs abysmally on environmental governance score (EGC) variables. Against this framework, this study intends to uniquely establish the drivers behind Ghana's failure to overcome ISSGMAs. To achieve this, a total of 350 respondents were sampled through a structured questionnaire, with a mixed method approach from selected host communities, believed to be the epicenters of ISSGMAs in Ghana. The questionnaires were administered from March to August, 2023. AMOS Graphics and IBM SPSS vs 23 were used to analyze the data. In particular, the novel hybrid artificial neural network (ANN) and linear regression techniques were adopted to establish the relational linkages among the constructs of the study and their respective contribution to ISSGMAs in Ghana. The study displays intriguing results that explain why Ghana has failed to be victorious over ISSGMAs. In particular, the findings of the study demonstrate that the three key drivers of ISSGMAs in Ghana, in a sequential and consecutive order are as follows: bureaucratic licensing regime/weak legal framework, political/traditional leadership failures, and corrupt institutional officials. Moreover, socioeconomic factors and proliferation of foreign miners/mining equipment were also observed to contribute significantly to ISSGMAs. While the study contributes to the ongoing debate on ISSGMAs, it also proffers valuable and practical solutions to the menace as well as theoretical implications.

The effects of simmelian ties on innovation of low-carbon technology: a study of top managers' environmental awareness and stakeholder pressure in China.

Low-carbon technology innovation (LTI) engenders environmental protection and socioeconomic development. Hence, low-carbon innovation of enterprises becomes a crucial policy arena for national development and climate mitigation strategy. LTI is now associated with enhanced reputation and competitive edge of enterprises. We constructed a framework to empirically explore the impact of simmelian ties (ST) on LTI, testing the moderating effect of stakeholder pressure in this relationship. We used a sample of 385 employees from industrial enterprises in China through a structured questionnaire. The study results show that: first, when the enterprise is in a strong ST, the top managers' awareness of environmental benefits has a significant positive impact on LTI. Second, when the enterprise is in a weak ST, top managers' awareness of environmental risk has a significant positive impact on LTI. Third, pressure of key stakeholders and pressure of secondary stakeholders positively moderate the interaction between ST and top managers' environmental awareness (TMEA) on the impact of LTI. Fourth, the moderating effect of key stakeholders' pressure was observed to be stronger than that of secondary stakeholders' pressure. Theoretically, this paper contributes to literature by developing a framework to investigate interaction between ST, TMEA and LTI under different stakeholder pressures. Based on this framework, we provide a theoretical reference for enterprises to choose the appropriate and optimal TMEA for competitive edge.

Modeling the dynamic nexus among CO2 emissions, fossil energy usage, and human development in East Africa: new insight from the novel DARDL simulation embeddedness.

This study investigates the relationship among CO2 emissions, human development index, and fossil energy usage. Essentially, the study was informed by the Sustainable Development Goal 7, which stipulates universal access to renewable and contemporary energy technologies. We employed the novel dynamic autoregressive-distributed lag (DARDL) simulations with a dataset spanning between 1980 and 2020 from East Africa Community (EAC). The study revealed that human development, access to electricity, and trade have a strong correlation with carbon emissions in the long term, whereas fossil energy usage and economic growth have a negative connection with carbon emission. On the other hand, in the short run, human development and fossil energy usage have a positive correlation with carbon emission, while economic growth and foreign direct investment have a negative correlation with carbon emission. Thus, policies that are tailored to enhance the political environment in East Africa are crucial to ensuring realistic access to clean and modern electricity. In relation to the environmental policy of the East African Community; this study advocates for measures to increase the availability of less harmful and renewable energy sources, as well as investments in energy-efficient technologies.