Scientific publications

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.

The use of energy in agriculture is important to ensure modernization of agricultural practices and boost the productivity. However, one also needs to take the unintended outcomes of the increasing energy intensity into account.

Strategic emerging industries facilitate the deep integration of emerging technologies and strategic industries. Exploring the factors of the innovation efficiency of strategic emerging industries are of great significance to effectively implement the a strategy of innovation-driven development and enhance national core competitiveness.

Increasing population and economic growth in Europe and the world are leading to growing demand for food, livestock feed, and energy, and consequently to growing negative impacts on the environment and climate change. Tensions and price fluctuations in international material supply chains have recently become an even greater challenge. As for biomass, its availability is limited due to land, water, human, and financial resources as well as the environmental boundaries.

Although South Africa is one of the biggest economies in Africa, poverty and income inequality persist and a vast number of households lack access to water and sanitation services. Provincial governments have implemented the Provincial Development and Growth Strategy to improve standards. We evaluate its effects on selected development indicators.