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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.
Authors:dr. Tomas BaležentisIERDdr. Dalia ŠtreimikienėIERDRanran Li Xueli Chen Zhiyong Niu
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.
Authors:Laura Petrauskaitė-Senkevič
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.
Authors:dr. Tomas BaležentisIERDXia Pan Wenyin Cheng Yuning Gao Zhiyang Shen
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.
Authors:dr. Dalia ŠtreimikienėIERDNingzhou Shen Yinghua Song Xiaodong Chen
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.
Authors:dr. Tomas BaležentisIERDZhuang Miao Xiaodong Chen
The European Commission has recently adopted the Renovation Wave Strategy, aiming at the improvement of the energy performance of buildings. The strategy aims to at least double renovation rates in the next ten years and make sure that renovations lead to higher energy and resource efficiency.
Creation of the climate‐smart agriculture requires efficient resource use and mitigation of the environmental pressures among other objectives. Therefore, it is important to assess the energy efficiency and productivity growth in the European Union's agriculture. This paper analyses the sample of the selected European Union member states.
The residential sector is a major energy consumer and requires measures for improvements in energy efficiency. However, the gains in energy efficiency do not always result in energy conservation due to the rebound effect. Therefore, there is a need for the development of methodologies to analyze energy consumption and the rebound effect in the household sector. This paper proposes an econometric approach toward the estimation of the rebound effect based on the ODEX index.
This study aims at assessing the efficiency of Lithuanian dairy farms of different economic sizes, and at observing changes in this efficiency over a period of time. In order to achieve this aim, three groups of indicators, namely resource, input and result ones, were used for the analysis. On the basis of information available from the Farm Accountancy Data Network, these indicators were calculated for the years 2013, 2015 and 2017.
Authors: Ovidija EičaitėIERD
The goal of the current study is to highlight the factors that could affect retail food prices and develop an econometrical model for estimating the level of the impact of the identified factors. The research covers the period from 2016 to 2018. Multiple regression modelling is used for model creation. The outcomes mad available evidence that the factors mostly affecting the prices are the monthly average price of food product and yield of the agricultural subsector providing main stock for the food product.
Authors:dr. Artiom VolkovIERDMangirdas Morkūnas Viktorija Skvarciany