Sustainable Energy Efficient Human-Centered Digital Solutions for ESG Megacities Development

Abstract

This study demonstrates algorithms that assist municipal administrations to make the best environmental decisions. The algorithms developed by large alpha-class municipal governments with assistance of department of environmental agency data analyst. Mathematical and econometric modeling techniques as well as optimum solution theories adhered to develop a model, and the criteria is functionality, which reflects a balance between maximum profit, comfort in living circumstances, the environment, and the need to avoid a market failure scenario. The ensuing results allow for the most optimal administrative decisions, such as the rate of environmental taxes. The empirical findings show that higher environmental, social and governance performance and digital finance has improved the corporate financing efficiency, as well as the influence of ESG performance on energy efficiency, all at a 1% significance level.

Features of using modern information technologies in management activities

“…The introduction in the spring of 2020 of restrictions on business operations due to the rapidly spreading coronavirus infection (COVID-19) caused a management problem associated with organizing remote access to common databases and the company's workplace network [6][7][8][9]. Therefore, various cloud storages, such as Google Drive, Dropbox, etc., have been widely developed.…”

Joint analysis of IMC resources: value for sustainable development

“…The current state of the market requires new technologies in order to provide sustainable development and maximize profit, without spending a large amount of money [10], and IMC can provide really communicative, beneficial assistance here [11]. Many experts in the field of economics and marketing note that the emergence of IMC is a new era in the development of not only marketing as a scientific subject, but also the improvement of communication activities in the trade and market process [12][13][14].…”

Risk modeling in the aviation industry as a factor of sustainable development

“…For example, Ashraf et al (2019) [6]consider Altman's model to be very useful in predicting bankruptcy in emerging markets. Elviani et al (2020) [7] studied that models created by Altman, Ohlson, Zmijevski [8] and Springate are accurate in prediction of the financial distress of the Indonesian trade companies. Salehi and Pour (2016) [9] consider that traditional prediction models can only be applied to a few industries.…”