Formation of a complex of management decisions on the reduction of environmental pollution during the development of coal mines

The aim of this paper is to examine the mental models of actors in Tunisian firms with respect to the environmental pollution. The authors use a cognitive map to observe these mental diagrams and to visualize ways to conceptualize the environmental pollution and to understand this concept through the presentation and analysis of the cognitive maps of Tunisian firm’s actors. Each actor’s systematic exploration grid shows a balance of concepts that expresses their cognitive orientation. Thus, the authors visualize the concepts (variables) that structure the cognitive universe of the actors, which is projected in terms of influences and dependencies. This research provides some lines of thought about environmental and pollution reporting that should be explored further. The research can only help to launch a debate on corporate accountability and transparency.

Environmental pollution is one of the major problems that has become an increasing area of concern globally, leading to the emergence of green energy technology. Research has been conducted on green technology adoption mainly in developed countries. However, there is noticeably limited knowledge about technology adoption and energy consumption in developing countries, for example, Zimbabwe. Thus, this paper seeks to analyze the impact of green technology adoption on energy sector performance in Zimbabwe. The results established that green technology adoption, energy pricing, energy sector investment, and capital structure significantly influence energy consumption efficiency. These results showed a positive relationship between green technology adoption and energy consumption efficiency based on the argument of the substitution possibility effect between green technology and energy demand. The study recommends adopting and identifying the type of green technology to utilize and the timing of investment in green technology. In addition, alternative estimation methods can be adopted to test the robustness of the findings.

Green economic growth ensures the country’s wealth and population well-being with decreasing ecological damages. This strategy requires effective government policy to push economic agents to environmentally friendly behavior and significant financial resources to invest in technological modernization. The study aims to assess whether promotion of green economic growth in post-Soviet countries depends on direct and portfolio investment. The paper develops the index of green economic growth performance considering traditional economic growth, social, and environmental indicators. To determine the contribution of direct and portfolio investments in the promotion of green economic growth performance, regression equations (for the panel of countries as a whole and each country in particular) are developed. All models are supplemented with traditional economic growth control variables (GDP growth, inflation, gross fixed capital formation, trade). The information base is public data from the World Bank for the sample of 13 post-Soviet countries for 2000–2021. It was revealed that Estonia and Latvia have the highest level of green economic growth performance, while Ukraine, Uzbekistan, and Kazakhstan have the lowest. The most effective country (Latvia) uses its green economic growth potential only for 62.33%. Modeling results do not confirm the significance of foreign and portfolio investment contributions in promoting green economic growth in most post-Soviet countries (portfolio investments boost green economic growth in Estonia and Moldova, while foreign direct investments contribute to green economic growth in Ukraine). These results might be explained by a lack of institutional capacity and government efficiency to ensure effective absorption of investments.