Mokslo publikacijos

The development of climate-smart agriculture (CSA) is crucial in ensuring the creation of a low-carbon society and mitigation of climate change. These tasks require concerted actions from multiple stakeholders since the very concept of CSA is rather complex and requires multi-dimensional consideration. This study defines and applies various indicators to evaluate the development of CSA in the European Union (EU).

The shadow prices, or marginal abatement cost, of pollutants is a useful measure of environmental performance. Unlike much of the previous studies focusing on only one kind of pollutants, this paper applies the (multiplier) by-production approach to measure the shadow prices of carbon emission, sulfur emission, and dust. The case of regional economies in China is considered.

The production of high-quality seeds and planting material is the basis for increasing the efficiency and sustainability of crop production. The main aim of this article is to develop proposals to ensure that supply meets the demand in the seed and planting material market Ukraine. The future prospects are also discussed. The paper uses statistical and comparative analysis. The patterns of foreign trade in seeds and planting material to and from Ukraine are analyzed. The high level of import dependence of Ukraine leads to excessive exposure to instability in the world seed market. The development of seed production in Ukraine is discussed and analyzed along with the ways for improving commercial circulation of seeds and planting materials.

This paper focuses on the state-of-the-art analysis of the concepts relevant to the functioning of agricultural supply chains. The viable supply chains concept is considered to be the most comprehensive one that encompasses sustainability, agility and resilience. However, this concept has scarcely been applied to agricultural supply chains. Thus, we discuss the theoretical foundations and empirical manifestations of the related concepts and propose a framework for analysis of agricultural supply chain viability.

This paper presents a framework for decomposition of changes in farm profitability with regards to structural, activity and intensity (efficiency) effects. The Index Decomposition Analysis (IDA) is adapted for isolation of the effects of profit margin, asset turnover, leverage, capital intensity and structure. The proposed approach complements the regression-based analysis as the IDA allows combining data from different levels of aggregation and taking the structural change into account.

Amid the rise of the new industrial revolution, the digital economy has gradually become the major fulcrum behind China’s industrial transformation. This study examines how the digital economy impacts enterprises’ substantive green innovation and its mechanism using data drawn from a sample of Chinese listed companies covering 2011–2019 and focusing on internal control and long-term investment.

Sustainable development of marine economy requires strengthening the marine environmental monitoring and management. Conductivity-Temperature-Depth (CTD) realises multi-dimensional monitoring of marine environment by measuring the traits of seawater.

The Lithuanian agricultural system survived paramount structural changes after the country had joined the EU. This paper investigates the case of peas. The study applies qualitative and quantitative methods in order to identify the potential of this raw material and map the most important solutions that allow to increase value added by introducing new products.

The sustainability-related decision-making oftentimes involves uncertain information. One of the key solutions in representing the interval information is the use of the interval information (numbers). This paper proposes a multi-criteria decision-making approach that relies on the algebra of random variables in handling the interval information.

The study aims at evaluating crop insurance effects on the farms’ production and investment indicators in Lithuania. The Common Agricultural Policy after 2020 considers measures helping farmers to adapt to climate change. For this reason, it is essential to evaluate existing risk management measures in order to propose appropriate schemes for the next programming period. In order to evaluate crop insurance effects on the farms’ production and investment indicators farm-level, data from Farm Accountancy Data Network dataset and propensity score matching approach was used.