SDGs and ESG disclosure regulation: is there an impact? Evidence from Top-50 world economies

Considering the rapid development of oceanic logistics, the maritime traffic is one of the worst offenders for air and water pollution. This paper primarily aims to explore the key concepts and terms applied to denote the sustainability issues in maritime transport and main challenges for the shipping industry. The present study investigates the existing sustainability frameworks on the relationship between sustainability and maritime industry. Also the author proposes to use modelling approaches to measure the relationship between oil prices, exchange rate, services export and ocean transport value added. The empirical findings indicate that growth rate of the crude oil prices has negative impact on ocean transport value added growth, and it can be traced that the oil industry has a strong influence on value creation in maritime clusters and their competitiveness, especially on the shipping sector. The analysis also sheds light on the impacts of relationship between environmental pollution and maritime cluster activity (through the validation of the EKC hypothesis in Norway). The current paper reveals that there is an inverted U-shaped relationship between economic growth and CO2 emissions. The empirical evidences show that the links between CO2 emissions and ocean transport value added are more significant than with energy consumption indicator. It can be assumed that, due to the energy efficiency policy and technological leadership in the shipping industry, the environmental impact of energy use (renewable energy) has improved.

The article analyzes the regulatory framework in the insurance market in connection with the advent of Big Data, such as information collected from different sources that can be manipulated by new technologies. The use of Big Data offers significant opportunities to the insurance companies in terms of digitization of the distribution channels and greater knowledge of the customers, which is instrumental to a more effective identification of the individual’s risk profile, as well as improvement of the competitiveness. However, regulatory measures are needed for a proper use of Big Data in terms of respect of the individual privacy, potential discrimination and constraint on competition.

This study examines whether the internal control system moderates the relationship among budget expenditure, government size, legislative size, and audit findings on financial statement disclosure in Indonesia. This is a quantitative study that uses the purposive sampling technique to collect data from 240 local governments in Indonesia. Data were analyzed using Structural Equation Modelling (SEM) with Smart PLS. The results show that government size, legislative size, and audit findings had a positive and significant effect on financial statement disclosure, whereas budget expenditure does not. In addition, the findings revealed that the internal control system moderates the relationship between government size and legislative size and financial statement disclosure, but not by audit findings. The study contributed to extending the institutional and agency theory that explains these factors toward disclosure in the local government in Indonesia. The findings suggest that Indonesia’s local governments consider potential factors regarding increasing pressure to carry out disclosure of financial statements, as well as increasing the proper disclosure required by applicable Indonesian regulations.