Scientific publications

Total factor productivity (TFP) growth measures usually focus on a certain direction of optimization and ignore the general setting encompassing the input and output orientations simultaneously. This paper uses the generalized Luenberger-Hicks-Moorsteen (LHM) TFP indicator which is additively complete and can be decomposed by three mutually exclusive elements. The input- and output-oriented analysis is undertaken in order to derive the generalized TFP measured.

The objective of the undertaken study is to investigate the association between proactive environmental strategy (PES) and its determinants, such as planning and organizational practices (POP) and communicational practices on sustainable development through the operating and financial performances of the pharmaceutical sectors of south Asian countries. Moreover, we examine this relationship through the eco-innovations as a meditator and technological advances as a moderator. We developed a modified conceptual model and questionnaire and verified by 856 responses from the region’s pharmaceutical sectors.

The objective of the undertaken study is to assess the application of Building Information Modeling (BIM) and evaluate the quality of information on construction projects. The paper also focuses on examining the design information quality on construction projects by applying BIM based on perceived variables, for instance, improve workflow, improve collaboration, design visualization, lower cost, environmental impact analysis, and variations. The first objective was to evaluate the impact of building information modeling on perceived variables such as improve workflow, improve collaboration, design visualization, lower cost, environmental impact analysis, and variations.

It is determined that economic, energy and environmental security indicators are characterised by the presence of systemic interconnections. The results of the evaluation show, that environmental and energy security are more closely related than environmental and economic or energy and economic types of security.

The purpose of the research paper is to investigate the chain link ‘pollution-shadow economy’ in the context of the analytical estimation of the impact of individual factors and the level of carbon intensity of gross domestic product (GDP). The article determines the impact of individual factors with transfer to the system of chain interconnections based on regression analysis.

This paper aims to identify the main risk groups according to their significance on imports of agricultural products. After analysis of the scientific literature, eight groups of risks associated with agricultural products import were determined: supply risks, demand risks, production risks, management plus operational risks, logistical plus infrastructural risks, political risks, policy plus regulatory risks and financial risks. In order to assess the importance of all import risk groups, three Multicriteria decision support methods (MCDM)—SAW, TOPSIS and Geometric means—for expert evaluation are used.

This paper proposes a multi-criteria decision framework for promotion of the heating systems based on the renewable energy sources. The objective and subjective data are taken into consideration by the virtue of the relevant quantitative techniques. The paper integrates the Best-Worst method (BWM) and modifies the Weighted Aggregated Sum Product Assessment (WASPAS) method. The BWM is utilized for eliciting the weights of the criteria during the expert survey. We apply the interval-normalized WASPAS for the multi-criteria ranking of the heating technologies.

Such large-scale disruptions as the pandemic increase the uncertainty and risk related to business. Therefore, the business continuity management (BCM) has become an essential technical solution for enterprise emergency response. Since the beginning of 2020, the COVID-19 has spread worldwide at an alarming rate causing many threats to sustainable development of the business sector. The decline in consumer demand has hugely impacted service industries, such as wholesale and retail sales, tourism. Enterprise production and operations have faced severe challenges. In this study, we develop a risk factor analysis of BCM under the presence of COVID-19 in China.

This paper presents a framework for analyzing the changes in agricultural labor productivity with regards to the structural, land intensity, and land productivity effects. This approach allows for the residual-free decomposition of data from different levels of aggregation. The logarithmic mean Divisia index was applied for the analysis and a data envelopment analysis model was constructed to identify potential gains in agricultural labor productivity due to the optimization of input use and output production.

Unintended outputs, as non-market goods, may have no exchange value and require shadow pricing to investigate the abatement costs. Unlike previous research, which assumes homogeneous production technology for decision-making units in the shadow price analysis, this paper considers group and global production frontiers. The ratio of group to global shadow prices is derived to indicate the position with respect to the tangent point (i.e., equal shadow prices) of the group and global technologies.