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Volume XVI, Winter, Issue 4(74), 2021
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The article presents the results of a study on subjective opinions of Europeans in two generations Y and BB. Due to the lack of data, the assessments made by residents of only 23 EU member countries were analyzed. These assessments concerned air quality, actions taken by decision-makers to improve air quality, and knowledge and awareness of the threats related to air pollution. The data came from the Eurobarometer surveys conducted in 2012 and 2019. A correspondence analysis of concatenated tables with supplementary points and aggregate measures of development were used to find relationships between generations from different countries and to indicate changes in the perception of air pollution. The aim of the study has been achieved. The areas where differences and similarities between generations occur, and where opinions expressed by a generation change over time have been identified. The Problems that require solving have been indicated so that individual actions leading to the improvement of air quality could be assessed.
© 2021 The Author(s). This article is distributed under the terms of the license CC-BY 4.0., which permits any further distribution in any medium, provided the original work is properly cited.
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Pandemics are not new and have occurred at different stages in human history (Ferguson et al. 2020). However, their impacts on financial markets are different and sometimes divergent. The market's sensitivity to these crises can provoke unexpected responses and sometimes disclose the precariousness of a market considered a riskless or safe haven.
Covid-19 crises are still one of the most disturbing health crises of this decade. Starting in china, this pandemic spread rapidly to threaten the whole globe, which explains the global interest in studying its impact on economic and financial stability around the world, especially that, Goodell and Goutte (2020) highlights that this virus is inflicting unprecedented global destructive economic damage.
The research focuses on cryptocurrency's market sensitivity to the pandemic framework. This market arouses the researcher's interest in their apparition. This interest arises with the emergence of Covid-19 since the end of 2019. Moreover, the analysis of the cryptocurrency market's sensitivity in a health crisis is a first since the emergence of this market whose could challenge its performance.
Empirically, the research adopts an econometric approach based on the DCC-EGarch model to analyze the dynamic relationship between the Covid-19 and the cryptocurrency market volume of transaction evolution. It presents, to the best of our knowledge, an unprecedented empirical investigation of the pandemic second wave's impact on the dynamic relationship between Covid-19 cases and cryptocurrencies transaction volume.
The remainder of the paper is as follows. We start with a literature review. We pass them to the data and the applied methodology. Finally, we describe the empirical results and conclude.
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The paper examined the impact of monetary and fiscal policy instrument on rice productivity and employed vector auto-regressive model using Augmented Dickey Fuller unit root text, followed by Johansen Co-integration test among the series using annual data for the period 1981-2016.
The results also show that all the monetary and fiscal policy instrument fitted co-integrate with rice production. Therefore, long run relationship exists among the variables and rice productivity. In the long-run, interest rate, exchange rate, money supply and public expenditure significantly affected rice productivity with adjusted R2 value of 60%. The result also shows that there is deceleration in exchange rate, interest rate and rice output. The speed of adjustment where monetary and fiscal policies variables will equate rice productivity in the short run is- 0.365830. The study concludes that there exist no short-run effects of policies instruments on rice productivity but on the long run. From this finding, the study recommended regulations of interest rate to a single digit, exchange rate should be friendly. Government should increase spending to agriculture and by extension policy focus on rice production to boost rice productivity). The study also recommended government regulation of policies instruments and to desist from frequent policies change.
Keywords: monetary policy; fiscal policy; vector auto regressive; co-integration; augmented
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Due to the complexity and uncertainty involved in real world decision problems, the determination and interpretation of Decision Makers' preference relations remain a challenging task for them. This paper develops a novel procedure for incorporating preference information in the efficiency analysis of Decision Making Units. The efficiency of Decision Making Units is defined in the spirit of Data Envelopment Analysis, complemented with Decision Maker's preference information. Our procedure begins by aiding the different decision making group members to express their incomplete fuzzy preferences by using a multiple objective linear programming approach for generating a common set of weights in the DEA framework.
© 2021 The Author(s). This article is distributed under the terms of the license CC-BY 4.0., which permits any further distribution in any medium, provided the original work is properly cited.
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This paper, which is the first of its kind in the case of Zimbabwe, uses annual time series data on international tourism demand in Zimbabwe from 1980 to 2019, to model and forecast the demand for international tourism using the Box – Jenkins ARIMA approach.
This research has been guided by the following objectives: to analyze international tourism trends in Zimbabwe over the study period, to develop and estimate a reliable international tourism forecasting model for Zimbabwe based on the Box-Jenkins ARIMA technique and to project international tourism demand in Zimbabwe over the next decade (2020 – 2030). Based on the Akaike Information Criterion (AIC), the study presents the ARIMA (2, 1, 0) model as the optimal model. The ARIMA (2, 1, 0) model proves beyond any reasonable doubt that over the period 2020 to 2030, international tourism demand in Zimbabwe will increase and that indeed, the future of Zimbabwe’s tourism industry is bright. Amongst other policy recommendations, the study advocates for the continued implementation and enforcement of COVID-19 preventive and control measures as well as unwavering support for tourism sector development through policies such as the National Tourism Recovery and Growth Strategy.
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A sub-interval analysis (SI analysis or SI-analysis or S-I analysis or SIA or S-IA) is a new field or direction of applied mathematical research. It deals with properties of entire intervals and their sub-intervals without considering the insides of the sub-intervals.
That is each sub-interval can be represented by only three quantities: by the two coordinates and one weight. This can evidently ease and simplify some considerations and calculations. The S-IA can be developed both as a pure mathematical and mainly as an applied research, in particular in the field of economics. For example, reporting periods in accounting and audit can evidently be considered as some sub-intervals.
If this entire interval is a one-dimensional smooth schedule, then these sub-intervals can represent a one-dimensional stepped sub-interval image. If this entire interval is a two-dimensional smooth picture, then these sub-intervals can represent a two-dimensional stepped sub-interval image.
© 2021 The Author(s). This article is distributed under the terms of the license CC-BY 4.0., which permits any further distribution in any medium, provided the original work is properly cited.
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The article makes a critical analysis of the attractiveness of the Romanian legislative framework for foreign investors. The analysis goes beyond national borders and extends to Bulgaria, the Czech Republic, Poland and Hungary, as we believe that the states in the region, EU members and with a similar transition history, are formidable rivals for Romania in the race to attract FDI, able to capture the advantages of this type of investment to the detriment of Romania. In this part we emphasize the fact that, in the absence of increased attention paid to these issues, Romania risks losing its attractiveness for FDI, with negative consequences on its economic development.
The research methods included observation methods, comparison methods and generalisation methods, and the result of the research is its own considerations regarding the controversies of investment policy and FDI determinants, the controversies of the globalisation process, the role of FDI in the global economy, such as and their positive role in modernising Romania and enhancing future opportunities in the national economy.
© 2021 The Author(s). This article is distributed under the terms of the license CC-BY 4.0., which permits any further distribution in any medium, provided the original work is properly cited.
