Exploring the environmental strategy of big energy companies to drive sustainability

The purpose of this research is to provide an in-depth evaluation of the environmental strategy of the biggest energy companies to drive sustainability, i.e., for both business and the environment as a collective entity. Rooted in the theory of Corporate Social Responsibility (CSR), a secondary data analysis was conducted on the top five energy companies (i.e., British Petroleum (BP), Exxon Mobil, Gazprom, Sinopec and Saudi Aramco) as published by Enercom (2016) to investigate their approach to sustainable development. To do so, each company's environmental strategy was evaluated in order to gain a clear understanding of their implemented procedures for sustainable development towards future. This research paper gives an insight in to the main energy companies' impact on nature and assesses how sustainable their strategies are towards environmental issues. Through this evaluation, we clearly identified how climate change forces companies to be responsible towards society, the economy, and the environment. This study's finding contributes to the present body of knowledge and highlights how the big energy companies have taken responsibility for their actions towards environmental issues

Financial versus human resources in the Greek-Turkish arms race: A forecasting investigation using artificial neural networks

This paper aims at forecasting the burden on the Greek economy resulting from the arms race against Turkey and at concentrating on the leading determinants of this burden. The military debt and the defence share of GDP are employed alternatively in order to approximate the measurement of the arms race pressure on Greece, and the method used is that of artificial neural networks. The use of a wide variety of explanatory variables in combination with the promising results derived, suggest that the impact on the Greek economy resulting from this arms race is determined, to a large, extent, by demographic factors which strongly favour the Turkish side. Prediction on both miltary debt and defence expenditure exhibited highly satisfactory accuracy, while the estimation of input significance, indicates that variables describing the Turkish side are often dominant over the corresponding Greek ones.Greek military debt, defence expenditure, neural networks,

Theorising Corporate Social Responsibility as an Essentially Contested Concept: Is a Definition Necessary?

Corporate social responsibility, essentially contested concepts, business, society, definition,