31 research outputs found
Erratum
No full textThe article “Macroeconomic determinants of corporate failures. Evidence from Romania and Spain” by Ion Anghel, Calcedonia Enache, Fernando Merino published in Journal of Business Economics and Management, 21(3), 743–759, https://doi.org/10.3846/jbem.2020.12217, contained the following errors:
• Some information in the 5th graph about Jmax was not given in Table 2, page 752.
• Information for Spain should be added in Figures 2 and 3 in page 753.
• Some results in Table 4 should be presented in bold in page 754.
These have been corrected.
The publisher and the authors Ion Anghel, Calcedonia Enache, Fernando Merino apologise for the errors
Irina Albăstroiu, Calcedonia Enache, Andrei Cepoi, Adrian Istrate and Teodora Liliana Andrei
No full textIoT (Internet of Things) is a concept that defines a world in which all objects are connected
to each other via the Internet. The ability of smart devices to connect, communicate and
transfer data has enabled the innovation and development of various solutions for industry,
business organizations and final consumers. In this article, we have chosen to discuss the
solutions related to smart homes.
Thus, our paper presents, in the first part, the conceptual delimitations regarding IoT, areas
of application, and characteristics of the solutions dedicated to smart homes, showing that
adoption of IoT-based smart home solutions has been too little addressed in the literature.
Most of the work in the field insists on the technical aspects and only subsidiarily deals with
the issues regarding the level of understanding of the IoT smart home concept by potential or
actual users and the degree of adoption and use of these solutions. In order to cover these
gaps identified in the literature, we presented, in the second part of the paper, the
methodology and results of an exploratory research, conducted on a sample of 471 persons,
which allowed us to identify the socio-demographic characteristics of the respondents (users
of IoT solutions), level of understanding the IoT concept, degree of the adoption and, also,
the associated benefits and challenges, from the perspective of the Romanian users. We also
developed a binary logistic regression model, for in-depth analysis of the results and for
correlating the findings of our research with those of other studie
Quantitative Solutions for the Substantiation of Decisions on the Food Market
No full textThe present paper intends, by using the spectral analysis, to measure and analyze the intensity of systematic variations of the time series referring to one of the most sensitive and important statistical macro-economic indicators, which has a significant impact upon all the economic and social policy decisions – the average monthly rate of consumer prices for food commodities.Fourier series; seasonality; consumer prices; food commodities.
A CROSS-SPECTRAL ANALYSIS OF ROMANIA’S FOREIGN TRADE IN AGRICULTURAL PRODUCTS
No full textAn interesting variant, from the point of view of the factor analysis in the economy, is represented by the Crossed Spectral Analysis. The simultaneous analysis of the oscillation of different frequencies for two or several data series can be regarded as an analytical approach, by constituent elements, of the correlation between two or several phenomena evolving in parallel in time. The objective of the present study consists in the analysis of the interdependency relations between Romania’s agri-food exports and imports focusing on the relation intensity in the synchronous but mainly in asynchronous optics (phase lag) for the different frequency components.spectral analysis, trade balance, agricultural products.
SEASONAL ADJUSTMENT AND FORECASTING OF THE ROMANIAN AGRICULTURAL EMPLOYMENT RATE
No full textThe economic policy directly related to employment and labour force aims the economic growth and the increase of the living standard using the best the capacities of economy: increasing productivity, reducing unemployment, using a larger proportion of working time. This paper aimed to use the statistical and econometric techniques to test and reveal trends in the evolution of the quarterly employment rate in agriculture, and on this basis to extrapolate the investigated characteristic
THE UTILIZATION OF THE STATISTICAL TECHNIQUES IN PROJECTING GROSS VALUE ADDED IN THE AGRICULTURE, HUNTING AND FORESTRY; FISHERY AND PISCICULTURE SECTOR
No full textAs a material production branch, agriculture features certain particularities that are essentially different from those of the other sectors of national economy, namely: active role in land operation, which increases the capacity of obtaining high yields by rational land use and use of technical advances; blending the technological process with that of natural (biological) multiplication of living organisms; strong action of weather factors upon the harvest; seasonality and diminution of working time due to the biological processes and non-coincidence with the production time. On the basis of statistical techniques, the present paper intends to reveal the evolution of the gross value added in the sector of agriculture, hunting and forestry; fishery and pisciculture, extrapolating the investigated characteristic.Holt Winters method, seasonality, gross value added, exponential smoothing
Determinants of Foreign Direct Investment in Romania: a Quantitative Approach
No full textThis study aims to examine the dynamic relationship between foreign direct investments (FDI) and economic growth, using the Structural Vector Autoregressive model, in the period 2007-2014. The results of the econometric model show that the trajectory of FDI has its own origins, with reduced influences from economic growth. Another important conclusion is that there is a unidirectional causal relationship from the economic growth towards FDI, more precisely the influence of FDI on economic growth does not have a systematic, anticipatory nature. These results were achieved in the condition that, in the analyzed period, the net inflows of FDI were influenced by the lack of certainty on the sustainable re-launching of the economic growth both domestically and internationally, the segmentation of the financial market, the domestic structural reforms
Scientific System in Romania and Portugal. A Quantitative Approach
No full textThis research aims to highlight the evolution of the Portuguese and Romanian scientific system in the
recent decades. This article presents the process of expansion of higher education in both countries,
particularly at the level of the scientific system, trying to understand how scientific research in Portugal
and Romania has evolved, as well as to know the sectors that conduct this activity. In this article, the
authors support their analysis using Portuguese and Romanian official statistics and from international
organizations, some indicators that can clarify the volume and quality of scientific research in these
two countries between 2007 to 2019, analyzing the expansion of scientific research in the post-Bologna
context. The article will be finished with two unifactorial regression models analysis. The main results
of the study point towards that, for the period 2007-2019, in the higher education sector, a 1% growth
in R&D expenditures leads, on average, to an increase in the number of researchers by 0.18% in
Romania and 1.25% in Portugal. These results may help to formulate public policies conducive to
improving the state of public higher education in Portugal and Romania, especially in the financing of
postgraduate and scientific production.info:eu-repo/semantics/publishedVersio
Macroeconomic determinants of corporate failures. Evidence from Romania and Spain
No full textThe purpose of this study is to investigate the reaction of the insolvency rate to the various shocks in the economies of Romania and Spain through a Structural Vector Autoregressive model. Departing from quarterly data for 2008–2016, it was found that the future values of the insolvency rate are explained by the past values of the interest rate and the retail trade index, more precisely macroeconomic risk factors cost of debt and changing in demand are main responsible for the health of non-financial corporations sector. In contrast, the influence of the investment rate on insolvency rate is not predictable. In addition, both in Romania and in Spain the interest rate is the main determinant of the insolvency rate variation, beyond its own innovations, in horizons of over 2 quarters. These results were obtained under the circumstances that the analysed period was characterized by the Great Recession and its recovery. In this situation, firms faced a lesser demand as well as a tightening on the possibilities of obtaining the external funds they needed, not only to finance their expansion projects but even their daily operations. Consequently, many firms faced a negative environment that forced them to go out of the market
Quantitative Solutions for the Substantiation of Decisions on the Food Market
No full textThe present paper intends, by using the spectral analysis, to measure and analyze the intensity of systematic variations of the time series referring to one of the most sensitive and important statistical macro-economic indicators, which has a significant impact upon all the economic and social policy decisions – the average monthly rate of consumer prices for food commodities
