scholarly journals Innovation Measurement in the Czech Republic and People’s Republic of China

Author(s):  
Jindra Peterková ◽  
Zuzana Wozniaková
2019 ◽  
Vol 28 (1) ◽  
pp. 48-58
Author(s):  
Lenka Ližbetinová ◽  
Miloš Hitka

The aim of the article is to identify significant differences in motivational preferences of employees of Small and Medium-sized Enterprises (SMEs) by comparing their membership to the region and gender. The paper presents the partial outcomes of research on the level of motivation and the preferences of employees in the Czech Republic and the Beijing municipality administration of the People’s Republic of China. The survey was carried out in 2017 using a questionnaire. The questionnaires were distributed in small and medium-sized enterprises engaged in various areas of business. The sample included the entire territory of the Czech Republic (CR) and the Beijing municipality administration in the People’s Republic of China (PRC). A total of 2,673 respondents participated in the survey, of which 899 were respondents in the Beijing municipality administration and 1,774 respondents from the Czech Republic. Descriptive statistics was used to characterize the sampling unit. The other methods used to evaluate data in the article were the Student two-sample t-test, F test, and ANOVA. The differences in motivational preferences of employees revealed by the study can be used as a basis for creating appropriate incentive programs for multinational business teams.


2021 ◽  
Vol 92 ◽  
pp. 09017
Author(s):  
Kamila Veselá ◽  
Linda Pudilová

Research background: The People’s Republic of China in the 21st century can be described as an economy with high growth rates and great ambitions. Some statistics even indicate that China will become the world’s new hegemon by 2040. The People’s Republic of China is not only one of the largest exporters but is increasingly speaking to the world economy and international relations. Since the beginning of the 1990s, mutual relations between the People’s Republic of China and the Czech Republic can be described as very good and constantly deepening, which can be evidenced, among other things, by the number of trade agreements. Purpose of the article: Purpose of the article is to evaluate a development of mutual relations between Czech and Chinese economies in order to predict their future development. Emphasis will be placed on the development of mutual trade through the evaluation of absolute and relative indicators and growth rates. Methods: The paper is based on secondary data from the database of the Czech Statistical Office. The key methods used in the article are the analysis of time series of real products of the Czech Republic and China and their foreign trade. The analysis focuses on the trend, deviations and development of absolute and relative indicators. Findings & Value added: The results of the analysis proved that the Chinese economy is growing on average more than twice as fast as the Czech economy. Because of that, the economic/living standards of the population of both countries are converging. The growth rate of the People’s Republic of China, together with its high spending on science and research, means that (if this trend is maintained) China is likely to become the world’s new hegemon in the near future.


2019 ◽  
Vol 61 ◽  
pp. 01023 ◽  
Author(s):  
Zuzana Rowland ◽  
Petr Šuleř ◽  
Marek Vochozka

Foreign trade has been and is considered to be very important. Trade balance measurement provides one of the best analyzes of a country's external economic relations. It serves as a monetary expression of economic transactions between a certain country and its foreign partners over a certain period. The aim of this paper is to compare the accuracy of time series alignment by means of regression analysis and neural networks on the example of the trade balance of the Czech Republic and the People's Republic of China. Trade balance data between the Czech Republic and the People's Republic of China is used. This is a monthly balance starting in 2000 and ending in July 2018. First, a linear regression is made followed by regression using artificial neural networks. A comparison of both methods at expert level and experience of the evaluator, the economist, is performed. Optically, the LOWESS curve appears to be best out of the linear regression and the fifth preserved RBF 1-24-1 network seems the mot appropriate out of neural networks.


Author(s):  
Oldřich Tvrdoň ◽  
Radmila Presová ◽  
Andrea Živělová ◽  
Iva Konečná

The article deals with the possibilities of doing business on Chinese market typical for its geographical spaciousness and populousness. There is also included an overview of China’s position in relation to 12 selected EU-countries. It is shown that four of 12 selected countries (Hungary, Slovakia, United Kingdom and Poland) do not export to China while People’s Republic of China exports into all 12 countries. Dividing the exports to China between the counties, Netherlands stands on the top with the share of 11.54% while Austria participates on the total exports only by 2.47%. In relation to the Czech Republic, China’s share on its imports is 10.05%, and only 0.74% on the export. Although the passive balance decreased by 16 232 bill. CZK, in 2009, the balance remains negative. This article looks in detail on the specific standards required by Chinese authorities when Czech company wants to open a representative office there. Also the costs for exhibiting on a machinery-specialized trade fair are calculated. The paper specifies the total time needed to deal with formalities concerning establishing a joint venture and receiving a building permit to build a new plant or reconstruct existing facilities. The financial expenses for a trade fair participation and opening a representative office are average values received from discussion with the top managers of Czech machinery companies exporting their goods or running a production-focused joint venture in the People’s Republic of China.


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