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This research evaluates the long-term asymmetric impacts of insecurity and corruption on the development of tourism in Nigeria using a non-linear ARDL (NARDL) method to analyze quarterly data for the 1996-2021 period. The cointegration test result provides an evidence of a long-term relationship among these three variables (corruption, insecurity and tourism development), along with exchange rate, income and infrastructure. The asymmetry test results reveal asymmetry between tourism development and both corruption and insecurity. The outcomes of the empirical exercise indicate that a positive shock to control of corruption (decline in corruption) fosters long-term tourism development, while a negative shock to control of corruption (increase in corruption) does not significantly explain long-term tourism development. In addition, a positive change in government expenditure on internal security (increase in internal insecurity) lowers long-term tourism development, but a negative change in government spending on internal security (decrease in internal insecurity) enhances long-term tourism development. Depreciation of the domestic currency promotes long-term tourism development. Thus, policies that reduce corruption and insecurity are recommended to promote long-term development of the tourism sector in Nigeria.
There are three purposes of this article, the first of which is to investigate the impact of non-interest income (NNII) on the profitability of banks assessed by both return on assets (ROA) and return on equity (ROE). The second one is to investigate the impact of NNII on risk, assessed by the volatility of return on assets (SdROA) and the volatility of return on equity (SdROE). The final one is to analyze the impact of the COVID-19 pandemic on bank profitability and risk. To achieve the above, the dynamic panel technique, a two-step GMM estimator, was used with the data of 25 deposit banks operating uninterruptedly from 2002 to 2021. The empirical results show that the NNII was positive and significantly correlated with ROA and ROE. The effect of NNII on the risk level appears to be negative and significantly related. In addition, during the COVID-19 period, it was determined that profitability decreased and risk increased. This shows that NNII is a vital shock absorber during an external shock. Therefore, it could be said that banks should attach importance to income diversification, and sector regulators should encourage innovation to create non-traditional products. Under the adverse conjuncture created by increasing public intervention and the pandemic, in recent years, Turkish banks have been encouraged to diversify their activities further rather than focus solely on traditional activities. NNII appears to be associated with higher profitability and lower risk.
The food sector has been one of the most affected economic areas due to the restrictions that were put in place to mitigate the spread of Covid-19 during the pandemic. The purpose of this body of research was to determine the factors that affected the profitability of Chilean small and medium-sized companies in the food sector, from a contingency perspective and from the standpoint of resources and capability. To do this, quantitative research was conducted with a sample of 59 companies. The results of the logistic regression analysis indicated that when firms made three or fewer workers redundant, the probability that their performance would improve or remain the same rose by 422%. On the other hand, for each additional decision the firm made, this likelihood fell by 51%. Technology and size were not relevant for these types of companies.
This study examines the internationalization strategies of Galician entrepreneurs and SMEs, focusing on early internationalization trends. The main objective is to develop a regulatory framework that enables entrepreneurs and established SMEs to approach foreign markets effectively. From a qualitative approach, the research analyzed data from Galician firms to construct the Galician Entrepreneurship Internationalization (GEI) matrix. Data were collected through surveys and supplemented from the Vigo Free Trade Zone database, covering exporting companies founded between 1999 and 2021. Qualitative analysis and matrix modeling were applied to categorize firms into distinct internationalization stages, considering factors such as market breadth, export intensity, and speed of entry. Four company profiles emerged from the analysis. The findings reveal that newer companies, influenced by technological advances and favorable public policies, tend to internationalize within a year of inception. The GEI Matrix offers valuable insights for public policymakers and business managers aiming to promote early internationalization.
Household financial decision-making is a complex process influenced by various factors, including personality traits. This study examines the impact of these on household finance in 31 European countries, utilizing the European Union Statistics on Income and Living Conditions (EU-SILC) dataset from Eurostat. We have employed a logistic regression analysis to investigate the relationship between personality traits and three key dimensions of household finance: the likelihood of holding secured debts, the probability of experiencing financial distress, and the state of financial well-being. Our findings have revealed that high levels of neuroticism and extraversion are linked to a greater likelihood of financial distress, whereas low levels of either of them are associated with a higher probability of holding a mortgage. This study highlights the significance of incorporating personality traits into the analysis of household financial decision-making and provides valuable insights into the determinants of household finance in Europe.
In Mexico, the services sector plays a prominent role in productive activity due to the effects of manufacturing production oriented toward foreign trade. The growth of services has little impact on economic growth due to its low interaction with other sectors and the lack of industry maturity. However, a concerning aspect is the increase in manufacturing production, which heavily depends on the use of imported inputs. The research applies the Input-Output model methodology and Growth Analysis using the Input-Output Tables from 2000 and 2018 published by the OECD to examine the effect of production and the use of factors in the services sector on economic growth. The study concludes that, in the short term, the growth of services is driven by the industry's impact. In contrast, in the long term, services follow a growth path heavily reliant on imported intermediate inputs, similar to industry.
Artificial intelligence, data analytics and big data are gaining ground in almost all areas of the business world. However, it is still not entirely clear how these tools are transforming marketing and advertising practices. Nor is there a deep understanding of how these tools are being used in targeting practices. For such reason, a systematic literature review was conducted in which 122 scientific articles sourced from Scopus databases, published between 2018 and 2023, were tracked. It was found that these tools mainly impact continuous improvement processes, but do not clarify how they do so in business strategy. Likewise, segmentation exercises are mainly built on behavioural information of customers and consumers, ignoring other variables such as psychographics.
Area payments are a key instrument of the European Union’s Common Agricultural Policy. However, their effectiveness as a tool for supporting farmers’ incomes is weakened by the phenomenon of capitalisation. The aim of this study is to identify the mechanism by which area payments stimulate inputs of agriculture production factors and to examine how subsidies granted in the form of area payments are transformed into remuneration for production factors. The research methodology used includes economic modelling and marginal analysis. It is demonstrated that area payments change the allocation of resources compared to the allocation driven by the market mechanism (resulting in a greater engagement of production factors in agricultural production than would be the case in the absence these subsidies) and also affect the level and structure of the remuneration for production factors in agriculture. A theoretical decomposition of the remuneration of production factors into income from non-land production factors and land rent has been carried out.