Scientific publications

Lotteries are probably the most geographically widespread and one of the most profitable types of gambling in terms of revenue in the selected country. Players in Slovakia can place a bet in 9 lotteries, including additional games. The main goal of this paper is to present potential conditions for the development of lottery business in the Slovak Republic, including legal definitions of lottery types, legislative restrictions and state regulation.

The aim of this study is to discuss the issues relevant to the CSR evaluation and to develop a model of CSR assessment by taking into account SDGs. Based on a critical literature review, the advantages and limits of CSR assessment models were analyzed with the SDGs addressed, and the framework of a novel model of CSR assessment was proposed in this study.

This study presents an innovative approach to measuring economic resilience at a sectoral level. The notion of economic resilience is explored through the lens of levels of resilience of the main functions of a researched economic sector. The overall level of sectoral economic resilience is seen as a weighted sum of resilience indexes related to its main economic functions.

Rural financial development is deemed essential for eliminating poverty. In China, successive governments have initiated a series of financial development plans to reduce poverty since the launch of economic reform in the late 1970s. However, there is a rising concern about whether financial development can reduce poverty in China. This study uses a panel dataset of 30 provinces (out of 31) in mainland China from 1997 to 2015 to examine the effect of rural financial development on poverty reduction

This paper provides a systematic review and assessment of the existing (composite) indicators for measuring energy poverty (EP). A total of 71 (composite) indicators have been identified for evaluating EP. The systematic literature review integrates the Search, Appraisal, Synthesis and Analysis (SALSA) framework, Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement under PSALSAR (Protocol, Search, Appraisal, Synthesis, Analysis and Report) framework. The framework of Population, Intervention, Comparison, Outcome, and Context (PICOC) is also applied to set the scope of the research.

Electricity demand forecasting plays a crucial role in the operation of electrical power systems because it can provide management decisions related to load switching and power grid. Thus, there have been models developed to estimate the electricity demand.

Elasticity is a measure that shows how strongly buyers and sellers respond to changes in market conditions. Price elasticity of demand for eggs in Lithuania and Ukraine is presented in this work. While measuring price elasticity of demand for eggs in Lithuania and Ukraine, statistical data from 2003-2018 gathered by Statistics Lithuania and State Statistics Service of Ukraine was used.

Green innovation (GI) is an important means of achieving a win-win outcome in the form of both economic development and environmental protection. Using a unique Chinese Patent Census Database to identify the quantity and quality of GI in each province and panel data for Chinese industrial sector in 30 provinces from 2002 to 2015, we investigated the impact of environmental regulation (ER) on GI in China.

The frequent exposures of food safety events in recent years have aroused extensive social concerns. Food quality and safety are hot topics in the food engineering field. In a market with mutual competitions, the products of different enterprises are substitutive, and enterprises have to achieve reasonable yield and to ensure product quality to maximize their profits. However, the limited production resources of enterprises affect their strategies in yield and quality.

Analyzing green transformation of energy use and pollutant emissions in China’s “Three Regions and Ten Urban Agglomerations” (TRTAs) allows effectively promoting sustainable development in the country. This paper applies Data Envelopment Analysis, namely the Bounded-adjusted Measure (BAM) relying on the additive structure, to measure the technical inefficiency and productivity change across TRTAs in China.