Governments, businesses, and the public, in general, are expected to receive information from national systems of official statistics regarding the economic, demographic, social, and environmental situation. Therefore, digitizing data collection for government statistics could have a significant social impact. Slowly but surely, government administrative data is being used more. There is scant evidence, but significant data access through satellites, point-of-sale systems, and social networks is now being researched and tested. New needs for official statistics and pressures on traditional data collection from households and companies drove these projects. New requirements for official statistics have brought about these requirements and demands. The efficient use of new data sources by the government can lay the most important evidential foundation for policies that are intended to enhance people's lives, and data that has been anonymized is also being made available to other researchers. The study aims to explore the opportunities and challenges for official statistics in digital Bangladesh and identify the potential benefits and drawbacks of using digital technologies and data sources for official statistics. By understanding these opportunities and challenges, policymakers, statisticians, and other stakeholders can develop strategies and solutions that address the challenges and leverage the opportunities to improve official statistics' quality, timeliness, and relevance. Additionally, the objective is to highlight the importance of investing in capacity building, data governance frameworks, and technology and infrastructure to promote the development of official statistics in digital Bangladesh.

This study investigates how macroeconomic variables in Bangladesh from 1991 to 2021 affected emissions, using data from the World Development Indicators. This study used the autoregressive distributed lag (ARDL) model. The study finds that Bangladesh’s GDP per person, energy use, and trade...

This study assesses the impact of militarization, industrialization, technological innovation, and energy consumption on CO2 emissions in NATO countries, divided into "traditional" (Group 1) and "new member" states (Group 2), using data from 1985 to 2019. It identifies heterogeneity in effects and dependencies between the groups. Employing Pedroni and Kao panel cointegration tests, a long-term equilibrium relationship among the variables is confirmed. The analysis, using panel ARDL and GMM methods, reveals distinct outcomes for each group. In Group 1, military spending and energy consumption significantly increase CO2 emissions, while industrialization and technological innovation reduce them. Conversely, in Group 2, technological innovation and energy consumption raise emissions, whereas military spending and industrialization decrease them. The findings suggest Group 1 should strategize military expenditure and energy consumption to cut emissions, whereas Group 2 should focus on eco-friendly technology and efficient energy use to achieve environmental sustainability.

This study examines the combined influence of both meteorological and non-climatic factors on rice production in Bangladesh between 1990 and 2020, using the Autoregressive Distributed Lag (ARDL) model. The key variables consist of temperature, precipitation, urbanisation, fertiliser management (specifically potassium levels), and the area of permanent crops. The findings highlight the substantial detrimental impact of temperature on rice output over a prolonged period, whereas precipitation and urbanisation have a favourable affect on rice productivity. However, the utilisation of potassium fertiliser has a detrimental effect on crop productivity. Furthermore, it has been demonstrated that the development of permanent crop fields has a beneficial effect on rice output. These findings provide important information for policymakers and agricultural stakeholders, highlighting the need for adaptive strategies to improve the ability of rice production to withstand the impacts of climate change and urbanisation. The significance of these discoveries applies to rice-producing regions worldwide, offering a strategic blueprint for sustainable cultivation of rice and ensuring food security.