Scientific publications and editions

Transformative tourism is a new form of tourism business focused on how to use cultural and natural resources of visited places for individual or collective transformation. It may be defined as an innovative form of transformative learning which not only enables a person to get new information but also allows testing the new cultural values in practice and gives an understanding of how to consider the local context when implementing own development solutions.

In the current paper, the thermal insulation material from the wool of sheep grown in Lithuania is analyzed. Three types of thermal insulation material were produced: horizontal orientations, corrugated from the individual layer obtained, and corrugated from individual mats.

We replicate the findings of Emlinger and Guimbardr (ERAE, 2021) on the heterogeneous effects of per-unit tariffs on trade patterns for developed and developing countries. Analyzing import and export data from 2001 to 2013, they confirm the Alchian-Allen conjecture that per-unit trade costs induce higher export unit values. per-unit trade costs induce higher export unit values.

Transitioning to environmentally friendly economic growth is crucial for achieving sustainable development. Digital inclusive finance (DIF) can promote environmentally friendly economic activities and play a crucial role in fostering green and low-carbon development. In this context, a fundamental research question revolves around the theoretical foundations of how DIF impacts the growth of green total factor productivity (GTFP) and whether this relationship can be empirically verified.

Interval function clustering is a statistical method used to classify functional data based on interval number similarity measurements. However, existing similarity measurements focus on measuring the similarity of the curves in terms of numerical distance. This ignores the changing characteristics of the curve shape, which may lead to unreasonable clustering results when clustering interval-valued functional data.

Measuring the rebound effect (RE) of energy use and pollutant emissions is fundamental to characterizing the effects of technological progress on energy conservation and emissions reduction.

Most of empirical studies assume convex production technology to analyze productivity growth at the aggregate level. However, convexity assumption implies benchmarking against production plans that are not empirically observed. Unlike previous studies, we adopt a non-convex approach based on observed input–output combinations, which requires minimal assumptions in terms of production technology.

Without a market for pollution permits, such byproducts as carbon dioxide bear no market price, resulting in a higher environmental degradation than the socially optimal level. The contribution of this paper lies in that we model production process by resorting to a relatively novel by-production approach resembles a multi-stage process and ensure that the economic and environmental sub-technologies are properly linked.

This study aimed at examining the developments in the Lithuanian dairy sector since the accession of the country into the EU and assessing the main factors affecting these developments. In order to achieve this aim, a descriptive method of statistical data analysis and document analysis was employed.

The agricultural production plays an important role in food provision and income generation for the rural opulation. To mitigate the climate change and ensure food security, the agricultural sector has faced multiple initiatives, including the European Green Deal. Developing effective frameworks for measures under such initiatives requires identifying reasonable benchmarks.