Mokslo publikacijos

To examine the intricate relationship between digitalization development and sustainable development, this study commences its analysis by employing the entropy method to establish an integrated indicator of digitalization development among advanced nations. Subsequently, we utilize a panel dataset spanning a decade from 2010 to 2020, encompassing 36 developed countries, to estimate Green Total Factor Productivity (GTFP) growth.

In its efforts to achieve carbon peak and carbon neutrality, China has focused on new energy as a key driver, with significant implications for China’s new energy and stock markets. However, few studies have examined the relationship between the two markets. Based on multivariate generalized autoregressive conditional heteroskedasticity models, we investigate the volatility spillovers and dynamic correlations between China’s new energy and stock markets using daily data  from 2009 to 2023.

Responding to disruptive events is important to maintain supply chain viability. It is of the utmost importance to maintain functioning of agrifood supply chains as they provide essential goods for maintaining the population. However, there is a diverse pool of possible strategies to ensure the viability of agribusiness and agrifood supply chains. This paper seeks to identify the most relevant strategies for ensuring agrifood supply chain viability amid disruptive events.

Industry is one of the key sectors of Slovakia's economy and accounts for approximately 22% of GDP. Industrial production accounts for an average of 85% of the industry's contribution to GDP. The period of 2020 and 2021 was a crisis for all sectors of the economy due to the announcement of the global COVID-19 pandemic. Regarding the importance of industrial production in Slovakia's economy, we examine the impact of the coronavirus crisis on a sample of companies operating in this sector. Changes in the operational activity of enterprises are directly reflected in the volume of their net working capital.

Personnel risk is one of the significant factors in improving financial performance. Comparing the subjective perception of sources of personnel risk between companies by the company's country of operation can be useful information for companies and national policymakers. The article aims to identify and quantify disparities and common characteristics in evaluating personnel risk sources between small and medium-sized enterprises (SMEs) in the Czech Republic and other V4 countries.

When compared to traditional indicators, text information can capture market sentiment, investor confidence, and public opinion more effectively. Meanwhile, the mixed-frequency dynamic factor model (MF-DFM) can capture current changes.

Improving green productivity (GP) is critical for achieving global sustainable green development. Yet, past efficiency studies on the African continent have ignored Africa's GP, estimation, and driving factors. Specifically, the role of sovereign debt vulnerability, environmental entrepreneurship, and institutional quality in ensuring Africa's green productivity development is lacking.

Identifying the carbon emission characteristics, driving factors, and decoupling status of the industrial subsectors is important for developing effective policy measures. This allows for implementing industrial emission reduction that, eventually, decouple carbon emission and economic growth. Such an analysis is especially important for the case of China on its way towards sustainable development and increasing global interrelationships

Transition towards low-carbon and carbon-neutral society requires multiple technological solutions. Thermal power generation is the main source of power generation in China and contribute to a large portion of carbon emission. Under the goal of “carbon peak”, thermal power generation efficiency will become an important factor affecting industrial development.

Evaluation of green development is crucial for policy analysis and decision-making. To address the research gap on green development assessment systems, this study first presents the Super-efficiency Bounded Adjusted Measure model to gage the green growth index and economic growth index. This analysis involves evaluation of the coupling coordination degree. Through the analysis of the coordination between green growth and economic growth leads to recommendations for each region under consideration in regards to promotion of the components of the sustainable growth. This study presents the model that melds the objectives of the green and economic growth and uses the results for constructing the sustainable development Lorenz curve and Gini coefficient for the analysis of the differences in the sustainable development levels across the regions. The empirical case is presented to show the possibilities for application of the proposed approach.