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- ItemThe Real Effects of GDP Manipulation on Corporate Innovation: Evidence From China(Faculty of Management and Economics of Tomas Bata University in Zlín, 2024-09-30) Deng, Yuemeng; Fang, Fang; Širáňová, Lenka; Zhang, Jie; Cao, XinCorporate innovation is fundamental to the sustainable competitiveness of any economy. This paper examines whether and how local government-level macroeconomic growth pressure induced by gross domestic product (GDP) manipulation in China affects corporate innovation. Using calibrated satellite night light data to construct the GDP manipulation index, we find that GDP manipulation reduces local firms' ' R&D expenditure in the year ahead. The result holds up through robustness tests using different measures of GDP manipulation and corporate innovation. Additionally, we employ an instrumental variable approach to address endogeneity issues and enhance the strength of the causal inference. Furthermore, we find that the effect of GDP manipulation on local corporate innovation is stronger in regions with higher government intervention and where local governments control greater resources. Moreover, this finding is more prominent when local governors face intensified economic growth pressure or promotion incentives. This paper provides evidence that the Chinese government's ' s incentive to boost GDP growth negatively affects corporate innovation. Our findings offer valuable insights for policymakers aiming to stimulate economic growth and enhance competitiveness within their jurisdiction. By implication, it is necessary to form a financial and administrative system that effectively promotes industrial innovation and facilitates the transformation of the economic growth model into one driven by technology and innovation to gain a reasonable competitive advantage both within China and internationally. Future research may explore the evolving dynamics of GDP manipulation's ' s impact on other microeconomic behaviors, with particular focus on how it hinders competitiveness across industries and regions.
- ItemThe impact of efficiency on the profitability of large farms in the Visegrad Four(CZECH ACADEMY AGRICULTURAL SCIENCES, 2024-09-17) Fuchsová, Zuzana; Mareš, David; Křápek, MilanThe issue of productivity and performance in agriculture is significant because it affects a country's competitiveness, sustainability, and self-sufficiency in agricultural production and is reflected in European policy. This study aims to determine which country had the most efficient large farms compared to other V4 countries and whether efficiency in each country translates into the performance of large farms. The data were obtained from the EU FADN (Farm Accountancy Data Network) database from 2005 to 2019. These data were then evaluated using the statistical methods DEA: CCR-O (Data Envelopment Analysis: constant returns to scale), DEA: BCC-O (Data Envelopment Analysis: variable returns to scale), and Pearson correlation coefficient. Regarding international comparisons in achieving efficiency as measured by DEA, Hungary is the best performer among the countries compared, followed by Czechia, Poland, and Slovakia. The correlation between efficiency and performance measured by Farm Net Value Added was demonstrated only for Hungary. The international comparison provided information about which country had the most efficient large farms, what the ranking of countries was in terms of efficiency, and for which countries efficiency had / did not have a potential impact on performance. At the same time, the relationships regarding the efficiency and performance of farms with an economic size above EUR 500 000 of standard output were clarified.
- ItemInvestigating the Causes of Non-realization of Project Prediction and Proposal of a New Prediction Framework(Prague University of Economics and Business, 2024-08-22) Doskočil, Radek; Lacko, BranislavThe main goal of the paper is to identify the causes of non-realization of project prediction and to propose a new framework for project prediction. A secondary goal is to explain why the approaches to project prediction used currently do not provide satisfactory results. The research was realised in the form of qualitative research using semi-structured interviews. The findings reveal that the main causes of non-realization of project prediction are follows: there is no methodology that could be practically used; simplified approaches to project prediction usually have low reliability for which reason they are generally unusable; suitable input data and information for project prediction are not available. The main contribution made by the paper is the identification of causes of non-realization of project prediction and the proposal of a new framework for project prediction that respects changing conditions during the lifecycle of the project and changes in the way of thinking in project prediction. A prerequisite for its application is a functioning system of knowledge management in projects, including the realization of post-project analysis.
- ItemPerformance of Family Businesses in the Specific Conditions of CEE Countries: The Case of the Czech Republic(SAV SR, 2024-08-23) Režňáková, Mária; Karas, Michal; Srbová, Pavla; Pěta, Jan; Michalíková, EvaMany authors point out that family businesses in the CEE region due to a dif-ferent historical development might exhibit specific features and because of that deserve specific attention. The presented paper aims to contribute to this effort by exploring factors driving the performance of family businesses in the Czech Republic, in course of the research a panel of 7,995 businesses was analyzed by using the linear mixed effects model. The common problem of missing data, especially on micro-enterprises, was addressed by using CHAID methodology. We found that the factors driving family business performance differs between micro and SMEs segments of businesses, while the effect of families is most significant in terms of the model’s slope rather than constant.
- ItemGreen public procurement in the most visited European museums: a comparison and a mapping(SPRINGER NATURE, 2024-03-13) Plaček, Michal; Rossel, Jordi; Valentinov, Vladislav; Křápek, MilanWhile scholarly research on green public procurement (GPP) keeps growing, until now it has paid little attention to museums that must make decisions about GPP implementation. This paper breaks new ground by exploring GPP implementation in the most visited European museums. The proposed conceptual framework allows a comparison and a mapping of museums' GPP implementation levels while taking account of how these levels are related to the national GPP performance. Complementing this framework with the analysis of the up-to-date data from the Tender Electronic Daily database yields two central findings. First, museums that formalized their GPP policies in their strategic organizational documents exhibit higher levels of GPP implementation than other museums that have not done so. Second, the majority of the investigated museums follow national trends of GPP implementation, with examples of exceeding or falling below these trends being rare. The article is important for policy makers and practitioners as it highlights the importance of the factor of institutionalization of green procurement in individual organizations, which is crucial for successful implementation of green procurement.