Regional Formation and Development Studies

This study consists of three main themes: (1) An overview is given about the main findings of the economic theories associated withemployment and labour / paid work; reinterpretation of the concept of labour is also provided, divided into pre-industrial, industrialand post-industrial periods, which the author aligns with the periods of the economic thought. The author interprets globalizationas a factor influencing the transition between industrial and post-industrial periods; and she elaborately introduces its economicsocialand labour market impacts. Among the potential alternatives of employment of the future, this thesis investigates the atypicalforms of employment, public employment and social (solidarity) economy. (2) Central-Eastern European countries and regions areanalyzed, as the territorial unit of the research, from labour market and employment aspects. Afterwards, the author evaluates theemployment situation of her closer environment, Northern Hungary. (3) Afterwards, she contributes suggestions to the criteria ofcreating a more efficient regional employment policy. The aim of this research was analysed the regional labour market situation bythe Central-Eastern European countries and regions, in particular by the North Hungarian region and was gave some proposals for apossible, efficient regional employment policy. Therefore through the multiple transformation of work concept, the demand for alternativeemployment forms has increased along with the significant change of the content. The author believes that these alternativefields and the regional employment policy can provide the answer for global labour market problems in the future. At the beginningof her research, she hypothesised that the position of the North Hungarian region is significantly determined by its special economicand social context which can be derived from the end of communism. The author used Hoover-index, tested the Okun’s law inCentral-Eastern European countries and regions, calculated the Markov-chain model and used factor analysis methods.