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.
Authors:dr. Zhiyang ShenIERDdr. Dalia ŠtreimikienėIERDdr. Tomas BaležentisIERDKaijie Lei Xiao Lei Guang Wang Yunguo Mu
Scientists, politicians, and practitioners are debating the current structure of pig farms in
Lithuania, as medium and small farms have almost disappeared over the past decade. The debated problem is whether the revitalization of medium and small pig farms would sustainably contribute to self-sufficiency in pork production.
Authors:dr. Aistė GalnaitytėIERDdr. Irena KriščiukaitienėIERDdr. Virginia NamiotkoIERDdr. Vida DabkienėIERD
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.
2023-12-29
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.
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.
he book aims to contribute to the scarce literature on the role of servitization in farming and rural development. It offers a conceptual and empirical understanding of the ways of servitization in agriculture and rural development, examined through the prism of an evolutionary approach based on the theory of qualitative structure. The method of qualitative structure explains why and how a switch from product-oriented business logic to service-oriented business logic happens and helps to find many new insights useful for improving farm management and socio-economic development of rural regions. It combines a systematic and evolutionary analysis of literature on servitization and agricultural production strategies with case studies of farming and territorial servitization projects implemented in Lithuania. It will be of great interest to researchers and students in the field of rural development studies, servitization and business model innovation.
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.