Abstract The present study seeks to find out how gender, age, area of living, parent background in terms of educational level and occupation determine the probability of youth to be out of the labour market in six Sub-Saharan Africa countries. We utilize data from the school-to-work transition surveys from 2014 and 2015 from the ILO. For each country, we first calculate a revised version of the Human Opportunity Index developed by the World Bank. Second, we compute the contribution of each factor to that index. The results show that dissimilarity has a marked influence in Madagascar and to some extent Malawi and Uganda, while the major challenges with getting the youth onto the labour market are still in Liberia even after taking dissimilarity of unchangeable background into account.

Abstract This study aims to examine the effectiveness of the internal control system, appropriate compensation, and the competency of the village apparatus regarding the prevention of village fund fraud with moral sensitivity as a moderating variable. This research is a quantitative method using hypothesis–inference to answer exploratory, descriptive, explanatory, and predictive analysis questions. Primary data are mainly used in this study. Data were collected using a survey method in a questionnaire with questions given to respondents to collect information. The sample of this research is the village office in 16 (sixteen) districts in Sumowono, Semarang Regency, Central Java, Indonesia, with 289 participants. Data analysis was carried out using Warp-PLS 7.0 application software. The results showed that the village apparatus’s internal control system, appropriate compensation, and competency prevented village fund fraud. Furthermore, the novelty of this research is to add a moderating variable, moral sensitivity, which can strengthen the relationship between the internal control system, appropriate compensation, and competency of the village apparatus regarding the prevention of village fund fraud.

Abstract Modern exchange theories model a large market, but do not explain single exchanges. This paper considers the phenomenon of single exchange and formulates the general exchange problem in the form of a system of two equations, subjective and objective. Subjective equilibrium is given by the Walras–Jevons marginal utility equation. Objective equilibrium equations by Walras and Jevons are averaged over all transactions in the market and can only give a rough general picture without explaining the specific price of an individual exchange. An exchange micro-condition must be found that, when averaged, will give the Walras market equilibrium macro-condition. The study of the internal structure of exchange leads to the need to consider power. The concept of generalized power is introduced. It is generalized power that serves as the primary comparable and measurable objective basis of exchange. The power theory of exchange provides the objective price-equation. It is demonstrated that money is a measure of generalized power in exchange and a certification of generalized power in subsequent exchanges. This methodology is based on an interdisciplinary analysis of an abstract exchange model in the form of a system of equations. The proposed theory is able to uniformly explain any exchange, including a single one, which is impossible with the existing theories of exchange.

Abstract Analyses of spatial market integration contributes to the knowledge about market efficiency and provides information to policymakers, as the spatial integration of markets contributes to competitiveness and economic development. Although the integration of agri-food markets is widely discussed in the economic literature, research on the dairy sector is relatively limited. This paper fulfils the research gap with an in-depth investigation of spatial milk and dairy product market integration between two neighboring countries—Poland and Czechia—using regional data, and including both production and processing levels. The econometric analysis of time series covering the period 2001–2021 reveals that only long-run milk and skimmed milk powder (SMP) price relationships are between the Czech Republic and Poland. The results of the study confirm that the factors influencing spatial price relationships between the Czech Republic and Poland are: strong trade ties, the common moment of accession to the EU, a close distance between markets, and region specialization.

Abstract The development of the activities of non-bank financial institutions that accumulate the resources of the national savings system on a long-term basis is seen as a factor in increasing investment in the Russian economy and its growth rates. When carrying out the study, we used general scientific methods, methods of structural, weigh, and dynamic analysis, and comparisons of performance indicators of non-bank financial institutions. Problems in the activities of organizations in the non-banking sector of the Russian financial market are predetermined by the parameters and trends in the development of the socio-economic situation in Russia, including insufficient efficiency of regulatory practices. The positive dynamics of the development of non-bank financial intermediaries is qualified as unstable; it is not supported by the solution of the structural and institutional problems of the Russian economy. In view of this, an increase in their role in the redistribution process is associated both with decisions of a more general order and with the improvement of the regulatory and supervisory practices implemented by the Bank of Russia. The solution to the identified problems in the development of the non-banking segment of the financial market should be aimed at turning it into an effective mechanism for capital formation to ensure economic growth.

Abstract This paper analyzes and characterizes the nature of the interactions between countries of the West African Economic and Monetary Union (WAEMU) over the period 1995–2015. The analysis uses sigma-convergence on the one hand and the Dendrinos-Sonis spatial competition model estimated by the SUR method on the other hand. The results show a lack of convergence of living standards and support the idea of income polarization in space; these results also support the idea of a very poorly integrated region with relatively competitive interrelationships. The paper suggests the acceleration of regional integration in the WAEMU region combined with the implementation of inclusive integration policies that promote each member’s comparative advantage.

Abstract The purpose of this research was to conduct a comparison of the push and pull factors affecting migration between Poland and Romania. The study aimed to find out which among the push and pull factors have a greater effect overall and individually on the migration activities. The study was conducted using primary data collected from migrants in both countries using a structured questionnaire. There were data from 298 and 288 surveys for Poland and Romania, respectively. The push and pull migration framework was applied to guide the study. The model suitability was confirmed satisfactory on validity, reliability and factor analysis. The hypothesis was analyzed and evaluated using multiple regression analysis. The findings of the study indicated that pull factors have a greater influence on migration in these two countries as compared to the push factors. Five out of six (economic, political and social in Poland and economic and political in Romania) pull factors were found significant as compared to two (social in Poland and in Romania) out of six push factors. Pull economic factors were significant determinants of migration in all the countries. Pull political factors were found to have the highest effect in both countries, because they influenced migrants in Romania. Economic factors are the major factors that influence migration, including the hope of finding better jobs and better life in the foreign countries, and these factors should be addressed in the effort to reduce migration. In addition, political issues such as unfair legal system, violent conflicts, underdevelopment, poverty, political instability and corruption should be addressed to control the issue of migration.

Abstract This article aims to evaluate the effect of insurance on production, technical efficiency,and input use of Italian specialised-quality grape growers. A panel instrumental variable stochastic frontier approach is applied over the years 2008–2017 using data from the Farm Accountancy Data Network. The results show the requirement to correct for the endogeneity that stems from insurance adoption. Insurance has an enhancing effect on production and efficiency and reduces the use of intermediate inputs. It suggests that insurance helps to diminish the risk-averse farmers’ suboptimal input use due to the presence of uncertainty. Crop insurance leads risk-averse farmers to behave as if they were risk neutral and employs the profit-maximising input vector. Therefore, by reducing the risks linked to the uncertainty of outcomes, crop insurance leads grape growers to go in the direction of profit maximisation.

Abstract Today, online Muslim clothing providers in Indonesia are faced with increasing competition in business openness. This condition requires online Muslim clothing providers to be more creative, innovative, effective and efficient by offering Muslim clothing products that are more valuable than competitors’. Therefore, a sophisticated and smart technology planning concept is needed for Muslim fashion consumers and to continue to achieve the benefits obtained by online Muslim clothing providers. This study aims to determine: (1) the influence of attitudes on the online buying intention of Muslim clothing in Indonesia during the COVID-19 crisis (2) the influence of subjective norm on the online buying intention of Muslim clothing in Indonesia during the COVID-19 crisis (3) the influence of perceived behavioral control on the online buying intention of Muslim clothing in Indonesia during the COVID-19 crisis (4) the effect of attitudes on the online buying intention of Muslim clothing in Indonesia during the COVID-19 crisis moderated by religious belief, (5) the effect of subjective norm on the online buying intention of Muslim clothing in Indonesia during the COVID19 crisis moderated by religious belief, and (6) the effect of perceived behavioral control on the online buying intention of Muslim clothing in Indonesia during the COVID-19 crisis moderated by religious belief. This study uses 1. independent variables, namely: attitudes, subjective norms, and perceived behavioral control. 2. The dependent variable is: Purchase intention. 3. The moderating variable is:religion. The data in this study are obtained from questionnaires distributed to 762 respondents. The method used is purposive sampling to all respondents who shopped online. The method is through the LISREL 8.7 program and t-test. These results indicate that the variables of attitude, subjective norm and perceived behavioral control influence the online buying intention of Muslim clothing in Indonesia during the COVID-19 crisis. They also find that the religious belief variable can moderate the variable of attitude towards the online buying intention of Muslim clothing in Indonesia during the COVID-19 crisis but not the subjective norm and perceived behavioral control variables.

Abstract This study aims to measure the impact of an intervention, the Community Investment Fund (CIF), on the socio-economic life of rural women. CIF is a community-managed fund aimed at improving the living standards of women by empowering them to undertake income-generating projects to become financially more stable and self-governed in the Khairpur, Shikarpur, Kandhkot Kashmore and Jacobabad districts of Sindh, Pakistan. This study used a quasi-experimental design approach that involved two groups, i.e., the treatment group (beneficiaries) and control group (nonbeneficiaries). The sample size of this study was 708 respondents including the treatment and control group. The results of comparison of mean indicate that there is a significant difference between treatment and control group in terms of socio-demographic variables (including monthly income and consumption, saving amount, total asset value, an asset purchased value and household diet) and women empowerment’s indicators, thereby suggesting that CIF has resulted in women empowerment.Concerning the results of the poverty scorecard, the higher graduation of beneficiaries (treatment group) asserts that the intervention of CIF has also a positive impact on targeted beneficiaries. In particular, the findings indicate that 72% of beneficiaries (treatment group) have graduated from one poverty band to another higher band compared to 59.4% of non-beneficiaries (control group) in poverty score. In addition, the findings of the logistic regression analysis confirmed that participation in the CIF program empowers women beneficiaries. This study will support policymakers to further improve CIF so that it can become more effective and sustainable.

Abstract This study aimed to predict the JKII (Jakarta Islamic Index) price as a price index of sharia stocks and predict the loss risk. This study uses geometric Brownian motion (GBM) and Value at Risk (VaR; with the Monte Carlo Simulation approach) on the daily closing price of JKII from 1 August 2020–13 August 2021 to predict the price and loss risk of JKII at 16 August 2021–23 August 2021. The findings of this study were very accurate for predicting the JKII price with a MAPE value of 2.03%. Then, using VaR with a Monte Carlo Simulation approach, the loss risk prediction for 16 August 2021 (one-day trading period after 13 August 2021) at the 90%, 95%, and 99% confidence levels was 2.40%, 3.07%, and 4.27%, respectively. Most Indonesian Muslims have financial assets in the form of Islamic investments as they offer higher returns within a relatively short time. The movement of all Islamic stock prices traded on the Indonesian stock market can be seen through the Islamic stock price index, namely the JKII (Jakarta Islamic Index). Therefore, the focus of this study was predicting the price and loss risk of JKII as an index of Islamic stock prices in Indonesia. This study extends the previous literature to determine the prediction of JKII price and the loss risk through GBM and VaR using a Monte Carlo simulation approach.

Abstract This study aims to test the causal relationship between Saudi stock market index (TASI) and sectoral indices throughout the period from 2016–2020. The study data were extracted through the main index of the Saudi market and the indices of the available data of 19 sectors out of 21 sectors. The unit root test was used along with the Granger causality test, in addition to multiple regression tests in order to analyze the study hypotheses. The study shows that all index series were stationary at the zero level I (0), and the results also show that there were bidirectional and unidirectional causal relationships between TASI and sectoral indices, and that TASI effectively mirrors all the changes that occur in the Saudi stock market.

Abstract The study of critical phenomena that originated in the natural sciences has been extended to the financial economics’ field, giving researchers new approaches to risk management, forecasting, the study of bubbles and crashes, and many kinds of problems involving complex systems with self-organized criticality (SOC). This study uses the theory of self-similar oscillatory time singularities to analyze stock market crashes. We test the Log Periodic Power Law/Model (LPPM) to analyze the Portuguese stock market, in its crises in 1998, 2007, and 2015. Parameter values are in line with those observed in other markets. This is particularly interesting since if the model performs robustly for Portugal, which is a small market with liquidity issues and the index is only composed of 20 stocks, we provide consistent evidence in favor of the proposed LPPM methodology. The LPPM methodology proposed here would have allowed us to avoid big loses in the 1998 Portuguese crash, and would have permitted us to sell at points near the peak in the 2007 crash. In the case of the 2015 crisis, we would have obtained a good indication of the moment where the lowest data point was going to be achieved.

Abstract This paper addresses the input–output structural decomposition for an economic analysis .The objective is to determine the causes of changes in production in these sectors with a particular focus on disaggregating the technological change by distribution factors associated with a specific normalization of the Leontief inverse. In calculating the net multipliers, an attempt was made to exclude each sectors’ own consumption in a satisfactory manner. However, the treatment of own consumption when introducing a time factor requires further investigation to avoid questionable measurements. An empirical application is presented regarding agriculture, forestry, and fishing sectors in six EU-28 countries (Austria, Belgium, France, Germany, Italy, and Spain) over the 2010–2015 period. In general, a typical characteristic of primary sectors is the accumulation of a significant amount of their own consumption, facilitated by the design of their own symmetric accounting methods. Therefore, attention is focused on these sectors so as to reveal possible analysis techniques that will provide nuance or validate existing techniques.

Abstract This study aims to detect fraudulent financial reporting using hexagon fraud analysis ,including seven factors: financial stability, external pressures, ineffective monitoring, auditor changes, change in director, arrogance, and collusion. The subject of this research is a public company consolidated audit report of state-owned enterprises. The existence of conflicting results, the phenomenon of fraudulent financial reporting, and limited research using the hexagon of fraud theory prompted this research to examine the factors that influence fraudulent financial reporting. The sample was selected using a sampling technique, with the criteria of state-owned enterprises listed on the Indonesia Stock Exchange in 2016–2020. The method used is quantitative, and the analytical method used is logistic regression analysis. The sampling technique used was purposeful sampling, so the number of samples was 125. The results of this study indicate that financial stability and external pressures have a positive effect on fraudulent financial reporting. However, ineffective monitoring, auditor changes, change in director, arrogance, and collusion do not affect fraudulent financial reporting.

Abstract The present study investigates the relationship between management characteristics (managerial entrenchment, CEO narcissism, overconfidence, board effort, real and accrual-based earnings management) and the audit report readability of listed firms. In other words, this paper seeks to answer the question of “whether management characteristics can have a favourable effect on the audit report readability or not.” The multivariate regression model is used for this study. Research hypotheses were also examined using a sample of 1004 observations on the Tehran Stock Exchange during 2012–2018 and by employing multiple regression patterns based on a panel data technique and fixed effects model. The results show a negative and significant relationship between managerial entrenchment and real and accrual-based earnings management and the audit report readability, based on the FOG index, and a positive and significant relationship between management narcissism, CEO overconfidence, and board effort and the audit report readability, based on the FOG index. Moreover, a negative and significant relationship exists between management entrenchment, CEO overconfidence, real and accrual-based earnings management, and audit report readability based on text length and Flesch indices. A positive and significant relationship was evident between CEO narcissism and board effort and audit report readability based on the same indices. Besides, research models were also examined for more confidence using other additional methods, including FE, T + 1, ABB, and GMM, which confirm the study’s preliminary results. Since the present study is the first paper to investigate such a topic in the emergent markets, it provides valuable information about intrinsic and acquisitive characteristics of management for users, analysts, and legal institutions that contribute significantly to financial statement readability.

Abstract This research examines the effect of the crisis due to the COVID-19 pandemic on dividend policy in Indonesia. The purposive sampling method was used to collect data from corporates listed on the IDX from 2014 to 2020 and analyzed using static and dynamic panel data approaches. The fixed-effect models (FEM) were selected for the static panel data regression. Meanwhile, the first difference-generalized method of moments (FD-GMM) and system-generalized method of moments (SYS-GMM) were used for determine the robustness of the estimated dynamic panel data. The results showed that the crisis due to the pandemic led to higher dividend distribution on SYS-GMM. Furthermore, companies maintained the dividend level as a positive signal for investors which lifted the sluggish trade condition in the capital market. Profitability and previous year dividends positively affect dividend policy robustly. Furthermore, the results showed that age affects dividend policy on FD-GMM. Financial leverage has a robust effect, and firm size has an effect on FD-GMM in different directions, while investment opportunity does not affect dividend policy. Statistically, the FEM selected that violates the best linear unbiased estimation was proven to form parameters that were not much different from the estimates produced by the dynamic model, both from the coefficient of influence direction and significance, and the omitted variable bias occurs as evidenced in the robust test with dynamic model was solved. This research is also used as a reference for considering investors’ investment decisions in the new normal condition. Therefore, dividend policy can be considered as a positive signal to investors with the ability to stock trading activities in the capital market.

Abstract Business bribery is a particularly serious problem in the integration era. First, this article investigates the effects of institutional obstacles on firms’ bribery in 131 countries classified by nation income groups. Through the appropriate proposal of fitting functions, the relationship between obstructions and the predicted margin effect of bribery is intuitively elucidated. Second, this paper sheds light on the relationship between bribery payment and exports. Then the analysis is upgraded when controlling for the moderation of a firm’s growth constraints. The results detected that not only institutional barriers, but also internal and external hindrances play an essential role in the interaction between bribe payments and export share. More interestingly, this study scrutinizes the role of obstacles in this relationship separately. Besides, SMEs and large enterprises are also adopted in further sensitivity analyses. To solve the endogeneity problem, the study uses the average amount of bribery in a firm’s location, sector, and the country as an instrumental variable (IV). The results obtained are not consistent across country groups classified by national income. Due to obstacles during a firm’s operation, the amplitude of the positive effect of bribery on exports is reduced.

Abstract Sustainable tourism supports a great level of tourist contentment and assures a significant experience for the visitors, realizes the importance of sustainability issues and encourages sustainable tourism practices and customs among them. Long-term success in tourism is possible only with the support of the local residents. Earlier research supports the significance of local population backing in order to make tourism more sustainable. As a result, it is necessary to comprehend the attitudes and perception of the local people, which will provide a treasured acquaintance for numerous tourism improvement programs. The present study was conducted in Muscat, Sultanate of Oman, to understand the community perception on tourism impact and environmental protection measures taken by the government. The study indicates that the local community is aware of the benefits of tourism development. The government should take steps to create awareness about the need for public support for the preservation of heritage sites. They should also be provided information about how the local community can benefit by way of job opportunities, small businesses, etc.

Abstract The present study aimed to adopt the extended theory of planned behavior (TPB) to determine the intentions of owner-managers in SMEs towards engaging in sales tax compliance. The study distributed a total of 660 questionnaire copies through systematic random sampling to the mangers/owners of Jordanian manufacturing SMEs, from which 385 questionnaire copies were retrieved and considered useable and appropriate for further analysis. The study made use of Partial Least Squares-Structural Equation Modeling (PLS-SEM) for the validation of the measurement model and structural model, and to establish the predictive relevance of the proposed model. Based on the obtained findings, the attitude towards behavior, subjective norms, perceived behavioral control and patriotism were significant determinants of the intentions towards engaging in sales tax compliance among the examined enterprises.

Abstract The objective of the article is to evaluate the impact of personnel costs on apparent labour productivity by employing the 1995–2018 panel data of the manufacturing industry in 27 European countries. The methods of independent samples t-test, correlation analysis, Granger causality test, unit root test, and ARDL were employed. The analysis shows that a long-term relationship exists among personnel costs and apparent labour productivity, and there are not significant differences among European countries concerning the impact of personnel costs on apparent labour productivity, but it varies in time. Companies often avoid increasing wages, as it decreases the profit of the company, and seek to increase the turnover in order to reduce the cost of goods sold. This research shows that growth of personnel costs does not necessarily mean lower profitability. The growth of personnel costs increases the gross operating rate if the turnover per person employed is stable. Turnover growth has a positive effect on apparent labour productivity, but a negative impact on the gross operating rate. Thus, the impact of turnover on apparent labour productivity is significantly lower than the impact of personnel costs on apparent labour productivity.

Abstract The paper assesses the current state and development trends of the social service system. The authors presented the current scheme of the system of social services in Russia and determined that it includes the budgetary, non-profit and commercial sectors. In particular, it is shown that the dominant sector providing social services is the public sector. However, despite the dominant role of the public sector in the provision of social services, in recent years there has been a tendency towards an increasing role of the sector of non-profit (non-budget) and commercial organizations, which have different principles of pricing for social services. For a more complete description and development trends of the social services system in the Russian Federation, the authors determined the most important indicators characterizing the functioning of the social service system and the provision of social services to the population. For a quantitative assessment, a regression model of the dependence of these indicators was created. Analysis of the data in the table shows that, on average, over the past 3 years, the number of recipients of social services in the stationary form of social services has de-creased by 2% per year, while in the form of social services at home it has grown by 0.25% per year. The authors determined, that in the future, the demand for inpatient social services will be within the range of recent years, which should not increase the load on the system.

Abstract Examining and comparing the FinTech investment environments of major economies has untapped potential when it comes to comparing their innovativeness in the financial sector. Therefore, this paper examines the development of FinTech companies from Germany and Russia by investigating funding circumstances and by analyzing equity investments. The goal of the article is to analyze the growth and development of equity funding in FinTech companies in both countries. The underlying hypothesis for this investigation is the applicability of an exponential growth model for the examined funding rounds. The analysis shows that the German market has more FinTech start-ups pursuing equity funding rounds. From Pre-Seed to Series D funding, the considered investment market is about 18 times larger in Germany than it is in Russia. The German market shows strong evidence of exponentially increasing investment tickets based on the behavior of the total data set. This is further supported by testing exponential and linear models on the averages for the investment stages. In this analysis, the exponential model shows a significantly better fit than its linear counterpart. The analysis of the Russian market is not supportive of the hypothesis, as substantial evidence of the superiority of a linear model over an exponential model could be found .This, combined with comparatively compact average funding sizes, signals a more immature equity investment market in Russia.

Abstract In order to allocate resources and formulate policies effectively, governments and enterprises often need accurate geographical information on profit-seeking enterprises. This study explores the impact of local fiscal expenditure and environmental regulation on the number of profit-seeking enterprises in Taiwan’s counties and cities from the perspective of spatial econometrics, and analyzes data from 2001 to 2019. After comparing the explanatory power differences of various spatial econometric models, the spatial Durbin model, with spatial and time fixed effects, was used to explore the direct effect on the number of local profit-seeking enterprises, and the spillover effect of the number of local profit-seeking enterprises in different geographical locations on neighboring regions, especially the spatial spillover effect of local fiscal expenditure and labor and environmental regulations. This paper discusses the decision-making choices of local government regarding the competition strategy of environmental regulation, and finally provides the policy implications for the government as a reference.

Abstract The study assessed the effect of inflation targeting (IT) policy on inflation uncertainty and economic growth in African and European IT countries. This study contributes to the existing knowledge by analysing and comparing the African IT and European IT countries using two advanced approaches which include the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) and Panel Vector Autoregressive (PVAR). To determine how the IT policy affects the inflation uncertainty in selected countries, time series techniques were employed. Panel data approaches were used to determine the effect of inflation targeting on economic growth in the selected countries. The results are as follows: (1) Inflation Targeting policy is insignificant in reducing inflation uncertainty in South Africa, and the effect of the policy in Ghana is inconclusive; (2) The IT policy has a significant impact in reducing inflation uncertainty in European countries (i.e., Poland and the Czech Republic); (3) Inflation targeting has a negative impact on economic growth in African Countries; (4) The policy has a positive impact on economic growth in European Countries; (5) In comparison to European countries, the strategy has a negligible impact on economic growth in Africa. Overall, the results suggest that European countries inflation targeting regimes are more credible in terms of reducing the level of inflation uncertainty and sustaining economic growth compared to African countries. In this respect, policymakers must ensure that they assess the economic condition of an individual country before implementing such a policy.

Abstract Previous literature supports the view that the financial inclusion leads to economic growth and helps alleviate poverty; however, it is still unclear whether financial inclusion increases bank profitability. The study assumes that financial inclusion is significant in enhancing the economy and minimizing loan accounts, and along with this assumption, the deposit size decreases the Jordanian banks’ profitability despite the fact that the financial services and access to them have no significant influence upon such profitability. The major profitability drivers examined in this study comprised financial inclusion and financial leverage. In this study, 13 Jordanian banks’ data from 2009 to 2019 were examined to determine the above issue. The study applied fixed effects on a panel data regression model. The findings indicated that the number of loan accounts and size of deposits negatively and significantly impacted the profitability of the commercial banks in Jordan. However, the number of branches and ATMs had no significant effect on the bank’s profitability. In sum, both leverage and bank size were the top two determinants of commercial banks’ profitability in Jordan. Based on the findings, Jordanian policymakers can shift their focus to offering affordable financial services that support SMEs’ loans and start-ups.