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Mokslo publikacijos ir leidiniai

Sustainable agriculture strives to ensure future food and energy supply while safeguarding natural resources. The interpretation of sustainability varies by context and country, yielding distinct indicators. Researchers have studied sustainable agriculture for the past 25 years and have developed several indicators.
This study responds to the need for theoretical and empirical research on value co-creation in tourism. Previous research has mainly adopted a perspective centred on the collaborative relationships between tourists and service providers, i.e., has been focused on a relationship called ‘one-to-one’. According to the emerging trends in value co-creation theory, value co-creation activities, however, are more complex.
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Vykdydami projektą „Veiklos analizės sistema struktūrinių pokyčių, produktyvumo ir klimato sąveikai tirti žemės ūkyje“, Lietuvos socialinių mokslų centro Ekonomikos kaimo vystymo instituto mokslininkai paskelbė monografiją apie Lietuvos ir Europos Sąjungos (ES) žemės ūkio sektoriaus vystymąsi. Monografiją išleido tarptautinė leidykla Springer. Knygos autoriai yra prof. Tomas Baležentis, prof. Dalia Štreimikienė, dr. Nelė Jurkėnaitė ir dr. Vida Dabkienė.
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2021-ųjų metų gegužės 16 d. prestižinis Springer Link portalas anonsavo Lietuvos socialinių mokslų centro Ekonomikos ir kaimo vystymo instituto Kaimo plėtros skyriaus mokslininkių R.Vilkės, D.Vidickienės, Ž.Gedminaitės-Raudonės, V.Simonaitytės ir E.Ribašauskienės parengtą mokslo monografiją „Rural Economic Developments and Social Movements: A New Paradigm" (liet. „Kaimo ekonominė raida ir socialiniai judėjimai: nauja paradigma“), kurią, įgyvendinant specialiąsias autorių teises, perduotas kompanijai Springer Nature Switzerland, išleido Palgrave Macmillan leidykla. Penkerių metų mokslininkių tyrimus apibendrinanti monografija jau yra prieinama tiek elektronine, tiek spausdinta forma.
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.
Autoriai:dr. Virgilijus SkulskisEKVISigitas Vėjelis Arūnas Kremensas Saulius Vaitkus Agnė Kairytė
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.
Autoriai:dr. Fabio Gaetano SanteramoEKVIDela-Dem Fiankor
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.
Autoriai:dr. Tomas BaležentisEKVIDan Liu Yushan Li Jia You Zhiyang Shen
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.
Autoriai:dr. Tomas BaležentisEKVILirong Sun Haofeng Mao Chi Zheng Chonghui Zhang
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.
Autoriai:dr. Tomas BaležentisEKVIXiaodong Chen Min Yang Zeng Li Fang Wang
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.
Autoriai:dr. Tomas BaležentisEKVIdr. Zhiyang ShenEKVIJinyang Cai Xingyu Xu
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.
Autoriai:dr. Tomas BaležentisEKVIHaiyan Deng Ziqiong Song Zhiyang Shen