The developmental and advancement of engineering vis-à-vis scientific and technological research and development (R&D) has contributed immensely to sustainable development (SD) initiatives, but our future survival and development are hampered by this developmental and advancement mechanism. The threat posed by current engineering vis-à-vis scientific and technological practices is obvious, calling for a paradigm change that ensures engineering as well as scientific and technological practices are focused on SD initiatives. In order to promote sound practices that result in SD across all economic sectors, it is currently necessary to concentrate on ongoing sustainable engineering vis-à-vis scientific and technological education. Hence, this perspective review article will attempt to provide insight from Sub-Saharan Africa (Nigeria to be specific) about how engineering vis-à-vis scientific and technological R&D should incorporate green technologies in order to ensure sustainability in the creation of innovations and practices and to promote SD and a green economy. Furthermore, the study highlights the importance as well as prospects and advancements of engineering vis-à-vis scientific and technological education from the in Sub-Saharan Africa context.
The Republic of Moldova is a state with a small, but dynamic economy and which, with the help of competitiveness in the IT industry, is looking for a place on the economic market in the Eastern European region. The research approaches this topic from an economic, historical, but also geopolitical point of view. This analysis of economic data and figures from the last period, combined with government policies and that of the National Bank of Moldova, means that in the near future the software economic area of Moldova will become an important regional player in this part of Europe.
Since the proposal of the low-carbon economy plan, all countries have deeply realized that the economic model of high energy and high emission poses a threat to human life. Therefore, in order to enable the economy to have a longer-term development and comply with international low-carbon policies, enterprises need to speed up the transformation from a high-carbon to a low-carbon economy. Unfortunately, due to the massive volume of data, developing a low-carbon economic enterprise management model might be challenging, and there is no way to get more precise forecast data. This study tackles the challenge of developing a low-carbon enterprise management mode based on the grey digital paradigm, with the aim of finding solutions to these issues. This paper adopts the method of grey digital model, analyzes the strategy of the enterprise to build the model, and makes a comparative experiment on the accuracy and performance of the model in this paper. The results show that the values of MAPE, MSE and MAE of the model in this paper are the lowest. And the r^2 of the model in this paper is also the highest. The MAPE value of the model in this paper is 0.275, the MSE is 0.001, and the MAE is 0.003. These three indicators are much lower than other models, indicating that the model has high prediction accuracy. r2 is 0.9997, which is much higher than other models, indicating that the performance of this model is superior. With the support of this model, the efficiency of building an enterprise model has been effectively improved. As a result, developing an enterprise management model for the low-carbon economy based on the gray numerical model can offer businesses new perspectives into how to quicken the shift to the low-carbon economy.
Some platforms in the collaborative economy offer a combination of sectoral and information society services, which characterises them as a hybrid entity. The concurrent provision of disparate types of services necessitates the determination of the predominant activity of a given platform on a case-by-case basis. This, in turn, gives rise to legal uncertainty and inconsistent case law at the national level. This paper examines the impact of the choice of institutional alternatives in the context of multilevel governance in the EU on the legal status of collaborative economy business models such as Uber and Airbnb in the EU single market. The paper employs a mixed-methods research approach to analyse pivotal jurisprudential decisions of the Court of Justice of the European Union (CJEU) and national courts. It reaches the conclusion that the Airbnb platform, in its capacity as an information society service provider, is subject to the provisions of the Electronic Commerce Directive (2000/31/EC). Conversely, Uber, by virtue of its definition as a transport undertaking, is subject to shared jurisdiction between EU institutions and Member States in the field of transport services. This paper initiates a discussion on the suitability of the extant regulatory apparatus and underscores the necessity for the establishment of an appropriate institutional framework, either centralised at the EU level or decentralised at the level of Member States, that would provide substantive rules aimed at comprehensively regulating the legal status of hybrid business models, thus allowing for more uniform conditions for their operation in the EU single market.
This research explores the role of digital economy in driving agricultural development in the BIMSTEC region, which includes Thailand, Myanmar, Sri Lanka, Nepal, India, Bangladesh and Bhutan (with Bhutan excluded due to data limitations) with a particular focus on mobile technologies, computing capacity and internet connectivity which were the most readily available data points for BIMSTEC. Using a combination of document analysis, and panel data analysis with the data covering 10 years (2012–2021), the study examines the interplay of key digital technologies with agricultural growth while controlling for factors including water usage, fertilizer consumption, and land temperature and agricultural land area. The analysis incorporates additional variables such as infrastructure development, credit to agriculture, investment in agricultural research, and education level. The findings reveal a strong positive correlation between mobile technology, Internet and computing capacity in BIMSTEC. This study underscores that digital tools are pivotal in enhancing agricultural productivity, yet their impact is significantly combined with investment in infrastructure and education. This study suggests that digital solutions, when strategically integrated with broader socio-economic factors can effectively challenges in developing countries, particularly in rural and underserved regions. This research contributes to the growing body of literature on digital economy in agriculture, highlighting how digital technologies can foster agricultural productivity in developing countries.
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