There is major concern with Lithuania’s industrial development because its manufacturing structure is increasingly dependent on the consumption of energy. In spite of the Lithuanian energy intensity decrease more than 35 percent in the last decade, the energy required to produce a unit of output in Lithuania twice exceeds the average of the European Union countries.
This paper investigates the energy intensity from a production theoretic framework and uses annual data of 1998-2011 to measure energy intensity in the Lithuanian manufacturing sector. The investigation compares energy intensity in manufacturing across different activities, based on several models. The results of the research show considerable variation in energy intensity across the activities. Based on energy intensity ratio, the Lithuanian manufacturing activities are classified into three categories, such as high energy- intensive, moderate energyintensive and low energy- intensive. The research reveals a strong and negative interrelationship between intensity of energy consumption and manufacturing production. Over a period of 1998-2011, the contribution of high energy-intensive industries to total manufacturing value added was increasing and amounted to 30 percent at the end of 2011. Finally, the research provides insights, that restructuring of the activities from energy intensive industries towards more technologically advanced ones might potentially lead to higher energy efficiency and it could be one of the most important routes to sustainable development.
This study consists of two research aspects. First of all, the author analyses the relationship of energy consumption and economic growth in the context of 13 selected countries in the period of year between 1990 and 2010. Secondly, using statistical techniques the paper takes into account cross-sectoral dependence when analyzing the relationship between energy consumption and economic structures of the same countries. Based on the energy consumption, the countries are divided into three groups: low energy consumption group, middle energy consumption group, and high energy consumption one. Statistical methods, including correlation analysis are employed for the estimation of the structural changes of economy and relationship between energy consumption and economic structure in each of the three groups. In general, the results of this study indicate that energy consumption is closely related to all economic activities for all groups of countries; however the case of Lithuania reveals the absence of relationship between energy consumption and industrial sector. Moreover, in the context of comparative analysis, China, as a high energy consumption country, has a completely different picture of economic structure as well as relation between energy consumption and structural changes. Economic sectors, such as industry, services and agriculture depend on energy resources, but in different degree in these three groups of countries.