This study employs the Standard Error Estimation technique to investigate the connections between the digitalization of economy, population, trade openness, financial development, and sustainable development across 127 countries from 1990 to 2019. The findings revealed associations between financial development, population growth, trade openness, economic growth, Digitalization development, foreign direct investment (FDI), and sustainable development. Financial development negatively impacts sustainable development, suggesting that countries with advanced financial systems may struggle to maintain sustainability. Trade openness exhibits a negative association with sustainable development, implying that countries with open trade policies may face challenges in maintaining sustainability, possibly due to heightened competition or resource exploitation. These findings highlight the multifaceted relationship between economic factors and sustainable development, underscoring the importance of comprehensive policies and governance mechanisms in fostering sustainability amidst global economic dynamics.
This research delves into the urgent requirement for innovative agricultural methodologies amid growing concerns over sustainable development and food security. By employing machine learning strategies, particularly focusing on non-parametric learning algorithms, we explore the assessment of soil suitability for agricultural use under conditions of drought stress. Through the detailed examination of varied datasets, which include parameters like soil toxicity, terrain characteristics, and quality scores, our study offers new insights into the complexities of predicting soil suitability for crops. Our findings underline the effectiveness of various machine learning models, with the decision tree approach standing out for its accuracy, despite the need for comprehensive data gathering. Moreover, the research emphasizes the promise of merging machine learning techniques with conventional practices in soil science, paving the way for novel contributions to agricultural studies and practical implementations.
The covid-19 pandemic has adversely affected the sustainability of micro and small enterprises (MSEs), with a particularly pronounced impact in Central Java. Entrepreneurs who struggle to adapt to reduced consumer purchasing power and the increasing reliance on digital technology are at heightened risk of business closure. Despite these challenges, inclusivity remains a crucial element for MSEs in fostering local economic development. Accordingly, this study seeks to examine the role of inclusivity in the sustainability of MSEs that are based on digital technology. Data were collected through the use of questionnaires and focus group discussions. Respondents were digital-based MSEs entrepreneurs from five selected regions, with Central Java having the largest number of digital media users. Key informants included experts from Diponegoro University, the International Council of Small Business (ICSB), the Department of Cooperatives and Micro, Small and Medium Enterprises at the provincial and district levels, and non-governmental organizations. The collected data was analyzed using the Rapid Appraisal for Micro and Small Enterprises (Rap-MSE’s) method. To assess the sustainability status, the study utilized several dimensions, including economic, environmental, social, institutional, technological, and inclusivity factors. Both multidimensional and individual analyses indicated that the sustainability status was relatively robust. MSEs that integrated digital technology into their operations were able to withstand the challenges posed by covid-19 and adapt to the new normal. In conclusion, the inclusivity dimension in the adoption of digital technology has gained increased importance in driving local economic development.
Innovation management and economic sustainability have become one of the business challenges to consolidate. given the above, the objective of the study is to determine the relationship between innovation and economic sustainability in small and medium-sized enterprises (SMEs) in Latin America. through an empirical study, 2660 SMEs were examined, 1729 small and 931 medium-sized, located in 13 Latin American countries. the data obtained by applying a survey were processed using a non-linear canonical correlation analysis (NLCCA). The findings identify functional and operational risks in SMEs that weaken innovative potential, in addition to technical-operational barriers—lack of knowledge and low investment that limit economic sustainability, whose importance transcends towards transformations of business models and effectiveness of resources that promote business sustainability. contributions are suggested for the management of public policies aimed at strengthening innovation and economic sustainability to project the emerging economies of Latin America.
The article analyzes the process of formation of research universities as one of the elements of a strong innovation economy. The formation of a new university model is a global trend, successfully implemented in English-speaking countries. In Russia, the educational system is not yet ready to ensure the country’s effective competition in the innovation market. The Strategic Academic Leadership Program “Priority-2030” is designed to carry out the functional transformation of the entire infrastructure of human capital reproduction in a short period of time in Russia. The article presents an analysis of the main conditions for the development of a university with a research strategy, as well as an assessment of the implementation of this strategy by Moscow Polytechnic University. The methodological basis of the study was formed by qualitative methods: included observation and benchmarking of universities’ activities, which allowed to generalize the current global trends and best practices in the field of education. For the analysis we used the data of monitoring the activities of higher education organizations, data of official statistics, as well as data from reports and presentation materials of universities and online publications participating in the “5-100” and “Priority-2030” programs. The results of the study may be useful for researchers and practitioners engaged in the transformation of the Russian higher education system.
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