Scientific publications

The purpose of this study is to disclose farmers' awareness of environmental responsibility in terms of eco-efficiency and cleaner production in the post-soviet bloc. Theoretical modeling and survey methods were applied. Original empirical data were collected in Lithuanian farms in 2017. The results demonstrate that the patterns of farmers' environmental responsibility are diverse when taking into account farm's characteristics (e.g., size, years in operation, type of farming) and demographic farmer's characteristics (e.g., age, gender, education).

Research background: There are many scientific papers dealing with the challenges of Corporate Social Responsibility (CSR) implementation at the company level. However, there are few studies dealing with gender difference between female and male managers in the perception towards CSR initiative. Purpose of the article: To understand the differences between male and female managers’ behaviour in the process of CSR implementation in companies. Methods: A survey of managers at different levels in Lithuanian Small and Medium Enterprises (SMEs) was performed in 2019. The study focused on the female and male respondents’ answers to the participation in CSR implementation, their perception about CSR implementation and the most important issues for them in that process.

The present study deals with the modification of Wilson’s formulation by taking into account changes in the supply chain represented by the parameters of the model, namely varying delivery costs and price of goods stored. The four different models are presented. The proposed models avoid the main drawbacks of Wilson’s formulation—the constant price and reordering time—and discuss the case where varying parameters are used alongside discounting.

Throughout the half of a last century, rural development policy experienced many transformations in the name of industrialization, including mechanization of work process in agriculture, installation of irrigation and amelioration systems, electrification of farms, application of chemical production technologies, increasing productivity and other. Current time’s questions of balanced sustainability and minimization of negative impacts with regard to quality of life are taking leading positions in agricultural policy debates.

The expanding possibilities for better quality of life increasingly accelerate the demand for various unique and uncommon services. The expansion of services had been recently spectated in all sectors and spheres of human activity. The impacts of these changes become evident both in cities and countryside. The increased requirements and demand for the variety of services in rural areas at the same time raised the value of unique cultural resources, held by specific regions.

This paper proposes a framework for assessing the financial sustainability of a wine producing company. The probabilistic approach is used to model the expected changes in the financial situation of an enterprise based on the historical trends. The case of an enterprise in Ukraine is considered as an illustration. The Markov chain is adopted for the forecasting exercise.

In the wake of economic development and raised living standards, Chinese pork consumption has risen significantly. As a response to the increased demand and active government support, the national hog sector, which was traditionally dominated by small backyard farms, is featuring a quick restructuring towards large-scale breeding enterprises. With the transformation of the hog sector, environmental externalities have become a very serious concern.

The paper aims to investigate family farm income volatility by decomposing disposable farm income (DFI) into the on-farm income, income from production support and off-farm income (OFI) over time. The research is focused on the OFI, assessing its role in achieving DFI above reference level based on the average net earnings. Three main indicators consistent with Farm Accountancy Data Network (FADN) were indicated.

The G7 and Brazil, Russia, India, China and South Africa (BRICS) nations have committed to greenhouse gas emission reduction according to targets set out in the Paris Agreement and Copenhagen Accord. The objective of this paper is to develop an index decomposition framework and apply it for comparison of the drivers behind carbon dioxide emission. The impact of economic and technological development on greenhouse gas emissions is assessed by applying the Kaya identity. The index decomposition analysis is carried out by applying the Shapley value.

Air pollution has become an increasingly serious environmental problem in China. Especially in winter, the air pollution in northern China becomes even worse due to winter heating. The “coal to gas” policy, which uses natural gas to replace coal in the heating system in winter, was implemented in Beijing in the year 2013. However, the effects of this policy reform have not been examined. Using a panel dataset of 16 districts in Beijing, this paper employs a first difference model to examine the impact of the “coal to gas” policy on air quality.