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This study aims to investigate the corrosion inhibition effect of extracted oil from Ziziphus lotus fruit on corrosion of C38 carbon steel in 5.5 M H₃PO₄ solution using potentiodynamic polarization and impedance techniques.

Oil composition was determined using gas chromatography, and the results showed that oleic and palmitic acids present approximately 84.0 per cent of its total chemical content. Electrochemical impedance spectroscopy (EIS) data were analyzed by adapting it to a well-developed electric circuit model. The inhibition efficiency of Z. lotus oil was calculated and compared using Tafel polarization and EIS.

Accordingly, the oil extract was found to act as an anodic type inhibitor. Furthermore, inhibition efficiency of Z. lotus oil extract increase with oil concentrations and achieve approximately 70.5 per cent at 3 g/L solution of Z. lotus oil.

The results obtained from different tested methods were in line, and the oil was able to reduce significantly the kinetics of the corrosion process of C38 carbon steel.

The purpose of this paper is to study the inhibition effect of (6-phenyl-3-oxopyridazin-2-yl) acetohydrazide (GP4) on the corrosion of mild steel in acidic medium by gravimetric measurements, potentiodynamic polarization, and electrochemical impedance spectroscopy (EIS).

Weight loss measurements, potentiodynamic tests and EIS were performed during this study.

(6-phenyl-3-oxopyridazin-2-yl) acetohydrazide (GP4) was found to be a very efficient inhibitor for mild steel in 1.0 M HCl solution, reaching about 85 per cent with inhibitor concentration 1.0 × 10-3 M at 303 K.

(6-phenyl-3-oxopyridazin-2-yl) acetohydrazide (GP4) was found to play an important role in the corrosion inhibition of mild steel in acidic solution.

This paper is intended to be added to the family of pyridazine derivatives which are highly efficient inhibitors and can be used in the area of corrosion prevention and control.

The organic food market is one of the most promising in Europe, although national markets have developed at different rates. In Germany, organics' share of total food turnover is 2.7 per cent compared with 1 per cent in the UK. This study explores the reasons why the behaviour of consumers in the UK and Germany has been so divergent despite both groups of consumers holding similar attitudes about organic foods. This was done by investigating the underlying values driving food choice behaviour using means‐end theory and Laddermap 5.4 software. In both cases the dominant means‐end hierarchies were uncovered and the cognitive process mapped. Although similarities emerged with respect to values concerned with health, wellbeing and the enjoyment of life, product attributes sought in order to achieve these values were different between the groups. A major difference was found in the absence among the UK group of any connection between organic food and the environment.

This study aims to apply unit root test to investigate the behavior of Chinese firms toward their leverage policy. The study is based on two influential and competing theories of capital structure.

This study applies unit root test to investigate the behavior of Chinese firms toward their leverage policy. The study is based on two influential and competing theories of capital structure. Trade off theory advocates that firms have a target level of leverage ratio and that firms try to achieve that optimal leverage ratio, whereas pecking order theory argues that firms have no target level of leverage and that they follow a specific pattern of leverage. For this purpose, this study applies a Fisher type unit root test to 12,808 firm level observations. The data are unbalanced and cover a period from 1991 to 2014.

The results reveal the presence of a stationary behavior across short-term, long-term and total leverage policies. For short-term leverage policy, 21 per cent firms show stationary behavior, while for long-term, 20 per cent show a targeting behavior; for the total leverage policy 17 per cent of firms are found to follow a tradeoff model. To make the findings more interesting sample was further classified into profit and loss making firms. The study finds that loss making firms do not follow a target level of leverage in China. Furthermore, unit root is applied to all firms before and after crises-2008. It is revealed that stationary behavior is more prevalent before crises-2008.

This study is highly important from the point of view that it quantifies firms into distinct categories of following specific model of capital structure. To the best of the author’s knowledge, the findings of this study add to current research knowledge about Chinese firms with respect to adjustment behavior toward a target capital structure.

We develop a framework for measuring and monitoring business cycles in real time. Following a long tradition in macroeconometrics, inference is based on a variety of indicators of economic activity, treated as imperfect measures of an underlying index of business cycle conditions. We extend existing approaches by permitting for heterogenous lead–lag patterns of the various indicators along the business cycles. The framework is well suited for high-frequency monitoring of current economic conditions in real time – nowcasting – since inference can be conducted in the presence of mixed frequency data and irregular patterns of data availability. Our assessment of the underlying index of business cycle conditions is accurate and more timely than popular alternatives, including the Chicago Fed National Activity Index (CFNAI). A formal real-time forecasting evaluation shows that the framework produces well-calibrated probability nowcasts that resemble the consensus assessment of the Survey of Professional Forecasters.

Women’s empowerment is a multidimensional concept that encompasses different aspects such as access to education, freedom to make vital decisions, labor market access, wages, and political participation, among others. In this research, the authors construct a multidimensional index of women’s empowerment that takes into account individual resources and achievements and analyze its evolution across countries using data from the United Nations Development Programme and the United Nations for 17 gender indicators across 96 countries over the period 1995–2015. By means of exploratory and confirmatory factor analysis, the authors identify three dimensions of women’s empowerment: reproductive health, economic participation, and basic education. In addition, the authors use cluster techniques to classify countries into four groups with similar behavior patterns in the different domains of women’s empowerment: a group of countries with high levels in the domains of reproductive health and basic education but with low levels in economic participation; a group of countries with high levels in the domains of reproductive health and economic participation that should pay attention to education; a group of countries with medium levels across the three dimensions of women’s empowerment, especially in reproductive health and economic participation; and a group of countries with low levels in all the dimensions of women’s empowerment, especially in reproductive health and basic education. The comparison of these different patterns serves to highlight the aspects in which improvements have been made or, on the contrary, to highlight the obstacles that are hindering the improvement of gender equality. Finally, the results suggest that advancements in women’s empowerment improve the countries’ level of development.

Internet banking has a very important place in the banking sector. The majority of banks located in Turkey offer many technological services. However, it is also seen that the use of internet banking does not reach the desired levels. The purpose of this study is to determine the factors affecting the internet banking preferences of the bank customers and the relationships between the demographic characteristics of bank customers and internet banking usage in Usak city of Turkey. Data from the questionnaires were analyzed using factor analysis, t-test and ANOVA analysis. As a result, seven factors were found to be effective in the use of internet banking. These are (1) “effect of social circle”; (2) “benefits of internet banking”; (3) “the usefulness of internet banking”; (4) “speed and time savings”; (5) “ease of use and cost”; (6) “the ability to use the internet and the advantages of internet banking”; and (7) “the suitability to life and work style.” In addition, it was determined that there is a significant relationship between the demographic characteristics of bank customers and internet banking usage.

This study aims to measure economic uncertainty in Turkey by a novel economic uncertainty index (EUI) employing principal component analysis (PCA). We assess the impact of Covid-19 pandemic in Turkey with our constructed uncertainty index.

In order to obtain the EUI, this study employs a dimension reduction method of PCA using 14 macroeconomic indicators that spans from January 2011 to July 2020. The first principal component is picked as a proxy for the economic uncertainty in Turkey which explains 52% of total variation in entire sample. In the second part of our analysis, with our constructed EUI we conduct a structural vector autoregressions (SVAR) analysis simulating the Covid-19-induced uncertainty shock to the real economy.

Our EUI sensitively detects important economic/political events in Turkey as well as Covid-19-induced uncertainty rising to extremely high levels during the outbreak. Our SVAR results imply a significant decline in economic activity and in the sub-indices as well. Namely, industrial production drops immediately by 8.2% and cumulative loss over 8 months will be 15% on average. The losses in the capital and intermediate goods are estimated to be 18 and 25% respectively. Forecast error variance decomposition results imply that uncertainty shocks preserve its explanatory power in the long run, and intermediate goods production is more vulnerable to uncertainty shocks than overall industrial production and capital goods production.

The results indicate that monetary and fiscal policy should aim to decrease uncertainty during Covid-19. Moreover, since investment expenditures are affected severely during the outbreak, policymakers should impose investment subsidies.

This is the first study constructing a novel EUI which sensitively captures the critical economic/political events in Turkey. Moreover, we assess the impact of Covid-19-driven uncertainty on Turkish Economy with a SVAR model.

The purpose of this study is to empirically examine the impact of stock market development on the economic growth for a panel of 27 emerging economies using annual data over the period from 1995 to 2012.

A second-generation panel unit root test developed by Pesaran (2007) has been used to test the stationary properties of the data series. To achieve the study objectives and to mitigate the endogeneity problem that exists in the given model, the authors use a dynamic panel “system GMM” estimator. The authors also use a heterogeneous panel causality test proposed by Dumitrescu and Hurlin (2012) to examine the direction of causality among the variables.

The empirical findings indicate that stock market development significantly contributes to economic growth. Further, a unidirectional causality running from stock market development to economic growth has been found. This finding is consistent with the supply-leading hypothesis. Besides stock market development, it is also evident that macroeconomic variables, such as investment ratio, trade openness and exchange rates, have significant impact on economic growth.

The findings suggest that a well-functioning stock market, a more globalized economy and increasing aggregate investment can potentially foster the economic growth in those emerging economies.

Unlike other studies, this study constructs three alternate composite indices along with the individual indicators of stock market development and applies robust panel econometric techniques to establish more reliable results.

This study aims to present a problem of noise compensation related to the localization of single-family houses in the restricted use areas (RUA) created around airports. The authors presented different methodological approaches to the valuation of such amends and characterized distinct solutions applied in that area in chosen countries and cities.

To estimate the level of those indemnities, linear models including spatial and generalized linear models, were applied. The set of explanatory variables contains quantitative and qualitative attributes of real estates. The influence of outliers indicated by means of cluster analysis on the received results were also considered.

The results show that after accounting for noise level and house characteristics, houses in noisier areas were sold for less than houses subjected to less noise. Unit prices of houses located outside the RUA were on average 17.05 per cent higher than the prices observed in zone with noise level for the daytime of 60 dB and 8.95 per cent in zone characterized by noise level for the daytime of 55 dB.

Received results can be compared with results obtained by other authors, but its most important application is possibility of use the proposed methodology by judicial appraisers to assess the proper level of noise compensation for home owners or tenants.

An identification of real estate market heterogeneity and its considering in estimation of compensation related to airport noise evidence some novelty of the research.