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We use Bayesian model averaging techniques to assess the role of different types of structural and institutional variables and their interaction with specific characteristics of the economy, as determinants of employment dynamics for 30 economies in Europe and Central Asia. We find that, once short‐run dynamics are controlled for, common structural determinants for the employment rate emerge, including tax rates, human capital, availability of technology, labour market regulation and trade openness. The results show that the effect of labour market regulation on employment outcomes is affected by other characteristics, such as trade openness. Focusing on the trade–labour link, we find that labour market reforms toward a more flexible labour market have a positive impact on employment ratios, and this effect is stronger for economies characterised by relatively low level of trade barriers. In addition, the positive employment effects from labour market regulation reforms are stronger; the less flexible is the initial labour market regulatory framework. These findings bring important policy insights related to the employment potential of further structural reforms and trade integration for the countries in the region. [ABSTRACT FROM AUTHOR]

Purpose – The aim of the paper is to investigate Goodwin’s growth cycle in the Indian organised manufacturing industries. Design/methodology/approach – The methodology is based on bi-variate differential equation, econometrics model like log-linear regression and Autoregressive Distributed Lag model. An empirical investigation is conducted on data from the Annual Survey of Industries from 1980 to 2018 time period. Findings – The results indicate that though the original Goodwin model estimates deviated from data estimates, its modified (neo-Goodwin) model are found to be equivalent to the data estimates. Moreover, in contrast to the original model, the capital accumulation rate (investment to profit ratio) is not assumed to be unitary in the modified Goodwin model. Furthermore, the labour market-led and cost effect conditions of the Goodwin cycle are empirically verified by investigating the interdependency between employment rate and wage share. Lastly, the short- and long-run Goodwin cycles are observed to be moving in anti-clockwise direction in the employment rate and wage share bi-dimensional plane, thus confirming the existence of profit-led distribution where wage share continuously reducing with high employment. Research limitations/implications – This study opens the discussion on application of capitalistic model in the emerging economy and also suggests to incorporate some theoretical models like Kaldorian, Keynesian, Kaleckian or Schumpetrian into the Goodwin cycle. Originality/value – This is the first paper which empirically examines the capitalistic nature of Indian organised manufacturing industries through the lens of Goodwin growth cycle and then extend it to the Neo-Goodwin model by relaxing one of the unrealistic assumption regarding unitary investment to profit ratio.

This paper aims to identify the differences in the employment rate dynamics in economy sections, considering gender, in the European Union countries in 2020, compared to the 2008–2019 period. Two methods were used. The first method compares forecasts from models describing employment changes in the pre-pandemic periods with information concerning the actual employment rate in 2020, using three indices measuring the significance of the observed discrepancies. The second method uses dynamic cluster analysis for the 2008–2020 period, and evaluates the changes in composition of groups that occured in 2020. The proposed methods were applied separately to the data concerning the employment of females and males (employment rates) in the EU countries, always divided into economy sections and section groups (A, B-E, F, G-I, J, K, L, M and N, O-Q, R). The application of the “Triple 2 Rule” helped to identify the changes in the previous employment trends (“Interventions”). The evaluation of changes in the dynamics of the employment rate in total and in section groups and according to gender in the EU countries in 2020 – compared to the forecasts from the 2013–2019 trends – revealed that the EU labour market responded differently to the COVID-19 pandemic situation. [ABSTRACT FROM AUTHOR]

Labor force participation of Egyptian women has been a chronic economic problem in Egypt. Despite the improvement in the human capital front, whether on the education or health indicators, female labor force participation remains persistently low. This study proposes a hybrid machine-learning model that integrates principal component analysis (PCA) for feature extraction with various machine learning and time-series models to predict women’s employment in times of crisis. Various machine learning (ML) algorithms, such as support vector machine (SVM), neural network, K-nearest neighbor (KNN), linear regression, random forest, and AdaBoost, in addition to popular time series algorithms, including autoregressive integrated moving average (ARIMA) and vector autoregressive (VAR) models, have been applied to an actual dataset from the public sector. The manpower dataset considered gender from different regions, ages, and educational levels. The dataset was then trained, tested, and evaluated. For performance validation, forecasting accuracy metrics were constructed using mean squared error (MSE), root mean squared error (RMSE), mean absolute error (MAE), mean absolute percent error (MAPE), R-squared (R2), and cross-validated root mean squared error (CVRMSE). Another Dickey-Fuller test was performed to evaluate and compare the accuracy of the applied models, and the results showed that AdaBoost outperforms the other methods by an accuracy of 100%. Compared to alternative works, our findings demonstrate a comprehensive comparative analysis for predicting women’s participation in different regions during an economic crisis.

The 18th century was a period in which the practice of gedik increased visibly in Ottoman tradesmen. In this period, the introduction of the inhisar method in Ottoman tradesmen gave a new meaning to the concept of gedik. In this context, in the secondary literature, the concept of gedik has been mostly defined on the basis of the new meaning it has gained as of the 18th century. Therefore, it is possible to draw an indirect conclusion from the definitions of the gedik in the literature, prevents the increase in employment in tradesmen. At this point, the question arises whether the gediks prevent the increase in employment in the tradesmen. Although there are studies in the literature on various branches of tradesmen and the number of shops in these sectors over the years, there is no study that deals with the subject in the context of gedik and its effect on employment. Since the effect of gedik on the employment rate is not the same in every period and in every sector, it was deemed appropriate to select a certain period and sector within the scope of the study. In this context, the aim of the study is to determine to what extent and in which direction the gedik system affects the employment rate and quality of bakery tradesmen. The 18th century, which was the period when the inhisar method was adopted by the state, was preferred as the period. The reason why bakery tradesmen are preferred as a sector is that bakery is one of the sectors that met the gedik system in the earliest and most intense way. Thus, it is aimed to evaluate the policy pursued by the state regarding the production of compulsory foodstuffs and the connection of this policy with the gediks. [ABSTRACT FROM AUTHOR]

Accurate prediction of employment rate of graduated students can greatly help education authorities to make informed decisions as well as for universities to adjust their teaching plans. Unfortunately, prediction of the employment rate of graduated students is still a difficult problem because the historical employment rate data exhibits fluctuations. In this paper, a new method is proposed for employment rate prediction using fractional gray GM(1,1|$$ \mid $$sin) model, which aims to alleviate the effect of data fluctuation on prediction accuracy and increase the contribution of new data in the prediction procedure. To further decrease prediction error, a Fourier series is adopted to model the residual series. The proposed model, called Fourier Fractional GM(1,1|$$ \mid $$sin) Model (FFGMsin), is used to predict the employment rate of graduated students of Yanshan University from 2010 to 2019. Results show that the proposed method can obtain more accurate prediction results than GM(1,1) model and its variants. © 2024 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC. [ABSTRACT FROM AUTHOR]

The current analysis aims to explore the empirical nexus between financial development, foreign direct investment (FDI) inflow, and employment rate. To attain this aim, we collect 30 years of annual data over the period 1990 to 2019 from South Asian economies and employ the autoregressive dynamic least square (ARDL) model for regression analysis. The implication of the ARDL model was subject to the mixed stationarity status of the series as assessed by unit root testing. The robustness of the analysis was checked by employing the fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS) models. The statistical analysis infers that both financial development and FDI inflow enhance the employment rate in the South Asia region. In addition, the empirical analysis infers that the gross capital formation, economic growth, and export volume have a positive while the population growth rate has a negative effect on the employment rate. The impact of underlying explanatory variables was found significant only in long run. The estimated coefficient values in the case of FMOLS and DOLS models support the direction of the relationship between explanatory variables and employment rate, implying the robustness of the analysis. The findings of the current analysis can be used to devise efficient economic policies to cope with the encroaching issue of unemployment in the South Asia region. This study offers the robustness to existing literature and complements the literature by exploring the underlying arrangement of study to the whole South Asia group. [ABSTRACT FROM AUTHOR]

PurposeThe purpose of this study is to investigate how different cancer-related symptoms influence work outcomes among cancer survivors.MethodsA literature search was performed in PubMed, EMBASE, CINAHL, PsycINFO, and Scopus to identify studies published between 1st January 1999 and 30th October 2020 that investigated the impact of specific cancer-related symptoms on work outcomes among cancer survivors who have completed primary antineoplastic treatment. Study findings were extracted and grouped by symptoms and work outcomes, allowing comparison of associations between these outcomes.ResultsSeventy-three articles representing 68 studies were eligible for inclusion. From these studies, 27 cancer-related symptoms, 9 work outcomes, and 68 unique associations between specific symptoms and work outcomes were identified. Work status (return to work and employment rates) was most commonly studied, and symptom burden was mainly measured from the patient's perspective. Higher symptom burden was generally associated with trends of poorer work outcomes. Significant associations were reported in most studies evaluating body image issues and work status, oral dysfunction and work status, fatigue and work ability, and depression and work ability.ConclusionSeveral cancer-related symptoms were consistently associated with inferior work outcomes among cancer survivors. Body image issues and oral dysfunction were shown to be associated with poorer employment rates, while fatigue and depression were linked to lower levels of work performance.Implications for cancer survivorsFailure to return to work and decreased productivity post-cancer treatment can have negative consequences for cancer survivors and society at large. Findings from this review will guide the development of work rehabilitation programs for cancer survivors.Protocol registrationPROSPERO identifier CRD42020187754.

This study aims to investigate the employment situation of trans people in the context of the Southern European welfare regime in Turkey. We observe that the welfare state has emerged as a product of the Industrial Revolution towards the end of eighteenth century. The Industrial Revolution led to a diversification of products in manufacturing along with technological change and reforms in this era brought many variations in social, economic, political, and cultural fields. Within this context, the Southern European welfare regime plays a critical role in establishing a patriarchal system, a gender-based division of labor, and sexual orientation and gender identity categories that are rejected in culture and the system. By looking at the previous studies that collected limited data, we aim to present the yearly changes in the employment rate and the situation of trans people in Turkey. Due to the hostile work environment, inadequate policies and actions, and the discrimination against trans people, the employment rate of both trans women and trans men working in the public sector is very low. Not surprisingly, the situation is not different for the trans individuals working in the private sector. [ABSTRACT FROM AUTHOR]

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The significance of regional dynamics in the process of economic development and regional development has increased as a result of significant factors like competitiveness, human resource development, and observation of the global market. In this study, mathematical programming-based cluster analysis has been conducted to group the regions in Türkiye according to sectoral employment rates. A mixed integer mathematical model is presented that maximizes the smallest of the out-of-cluster distances while minimizing the largest within-cluster distance. Level 2-26 sub-regions in Türkiye are clustered according to sectoral employment data for 2021 and 2022. As a result, two clusters were obtained for both years in our country according to employment status by gender on a sectoral basis. One of these clusters is where the employment rate of the agricultural sector is higher than other sectors, and the other is where the employment rate of the industrial and service sectors is higher. When the 2021 and 2022 clusters are compared, in total, TR22, TR32, TR33, TRC3; in men, TR21, TR22, TR32, TR52, TR81; In women, it was observed that TRC1 regions were assigned to different clusters. By implementing a successful employment policy as human resource development across the national government, it will be possible to ensure the balanced growth of provinces located in Türkiye's various geographical areas. [ABSTRACT FROM AUTHOR]

Motivated to some extent by the empirical significance of student loans in the U.S., this paper incorporates knowledge capital formation by working households financed through debt to a demand-led dynamic model of physical and knowledge capital utilization and output growth. Average labor productivity varies positively with the average knowledge capital across the labor force. A rise in labor productivity resulting from knowledge capital accumulation is fully passed on to the real wage so that the wage share remains constant. In the unique long-run equilibrium, which is stable, an exogenous rise in the wage share raises the rates of physical capital utilization and output growth but has an ambiguous effect on the rate of employment (which also measures the rate of knowledge capital utilization). The long-run equilibrium also features the following interrelated results: the output growth rate is greater than the exogenous interest rate; the debt ratio (working households' debt as a ratio of either the physical or the knowledge capital, or the output) is independent of the interest rate; and the allocation of a higher (lower) proportion of wage income to debt repayment (consumption) raises instead of lowers the debt ratio, which we dub the paradox of debt repayment. [ABSTRACT FROM AUTHOR]

The issue of the insertion of graduates into the labor market remains a priority for decision-makers in international higher education. These concerns have received increased attention in the current climate of uncertainty in the labor market. Policymakers continue to emphasize the importance of 'employability skills' so that graduates are fully prepared to meet the challenges of the ever-changing labor market. This paper reviews some of the key empirical and conceptual themes in the field of labor market placement of higher education graduates over the last decade and attempts to demonstrate the role of educational attainment and investment in education on labor market placement. With the help of econometric modelling, we tried to highlight the influence on the insertion on the labor market of the level of graduated studies, the financing given to education and public investments in the education system. [ABSTRACT FROM AUTHOR]

Abstract Background Patients with rheumatoid arthritis (RA) have difficulties maintaining employment due to the impact of the disease on their work ability. This review aims to investigate the employment rates at different stages of disease and to identify predictors of employment among individuals with RA. Methods The study was carried out according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines focusing on studies reporting employment rate in adults with diagnosed RA. The literature review included cross-sectional and cohort studies published in the English language between January 1966 and January 2023 in the PubMed, Embase and Cochrane Library databases. Data encompassing employment rates, study demographics (age, gender, educational level), disease-related parameters (disease activity, disease duration, treatment), occupational factors, and comorbidities were extracted. Quality assessment was performed employing Newcastle–Ottawa Scale. Meta-analysis was conducted to ascertain predictors for employment with odds ratios and confidence intervals, and test for heterogeneity, using chi-square and I2-statistics were calculated. This review was registered with PROSPERO (CRD42020189057). Results Ninety-one studies, comprising of a total of 101,831 participants, were included in the analyses. The mean age of participants was 51 years and 75.9% were women. Disease duration varied between less than one year to more than 18 years on average. Employment rates were 78.8% (weighted mean, range 45.4–100) at disease onset; 47.0% (range 18.5–100) at study entry, and 40.0% (range 4–88.2) at follow-up. Employment rates showed limited variations across continents and over time. Predictors for sustained employment included younger age, male gender, higher education, low disease activity, shorter disease duration, absence of medical treatment, and the absence of comorbidities. Notably, only some of the studies in this review met the requirements for high quality studies. Both older and newer studies had methodological deficiencies in the study design, analysis, and results reporting. Conclusions The findings in this review highlight the prevalence of low employment rates among patients with RA, which increases with prolonged disease duration and higher disease activity. A comprehensive approach combining clinical and social interventions is imperative, particularly in early stages of the disease, to facilitate sustained employment among this patient cohort.

This paper aims to identify the differences in the employment rate dynamics in economy sections, considering gender, in the European Union countries in 2020, compared to the 2008–2019 period. Two methods were used. The first method compares forecasts from models describing employment changes in the pre-pandemic periods with information concerning the actual employment rate in 2020, using three indices measuring the significance of the observed discrepancies. The second method uses dynamic cluster analysis for the 2008–2020 period, and evaluates the changes in composition of groups that occured in 2020. The proposed methods were applied separately to the data concerning the employment of females and males (employment rates) in the EU countries, always divided into economy sections and section groups (A, B-E, F, G-I, J, K, L, M and N, O-Q, R). The application of the “Triple 2 Rule” helped to identify the changes in the previous employment trends (“Interventions”). The evaluation of changes in the dynamics of the employment rate in total and in section groups and according to gender in the EU countries in 2020 – compared to the forecasts from the 2013–2019 trends – revealed that the EU labour market responded differently to the COVID-19 pandemic situation. First published online 14 March 2024

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Copyright of Global Journal of Economics & Business is the property of Refaad for Studies, Research & Development and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper investigates the effects of the employment rate on economic growth during the transition process. We start with the mainstream growth econometrics approach that controls for convergence and, in order to control for heterogeneity of countries in our sample, we control our estimates for transition-specific indicators such as initial conditions (pre-transition history), governance quality, privatisation methods as well as various indicators of institutional development. We use a wide range of model specifications using fixed effects as well as Bayesian averaging to address the problem of model uncertainty in 24 countries during the 1995-2019 period. Contrary to the neoclassical growth model assumptions, we find that the employment rate is one of the most important growth factors even after three decades. Results also indicate that convergence (initial level of development) robustly explains a part of cross-country growth rate differentials, while the effects of the initial conditions (pre-transition history) are robust, but fade out after the first decade. We do not find evidence that physical capital and population growth explain the growth in our sample.

Keywords: AI; artificial intelligence; ChatGPT; Covid economy; employment rate; living wage; unemployment EN AI artificial intelligence ChatGPT Covid economy employment rate living wage unemployment 60 69 10 09/11/23 20230901 NES 230901 Graph: Adrienne Williams, a furloughed Amazon driver, at the Amazon warehouse in Richmond, CA, on May 1, 2020. The enormous scale of Covid-era job loss and the subsequent rebound generated a period of white-hot demand for workers - and the tight labor market fueled wage and employment gains even for traditionally disadvantaged workers. Older workers faced more difficulty getting back into the workforce, and so those who retired include those who simply did not see any options for remaining employed.[10] Rapid Rebound, Hot Labor Demand Offered Surprising Gains to Wage Workers And yet, by many measures, topline economic numbers indicate a strong and widespread recovery. [Extracted from the article]

The perpetual upsurge of global economic development and human actions has multiplied the intensity of carbon emissions that signifies the effectiveness eco-innovation, eco-investment and green bonds in order to curb carbon emissions. Thereby, the study attempts to examine the impact of eco-innovation, eco-investment, and green bonds on the achievement of sustainable economic development (S.E.D.) in Vietnamese economy. Secondary data was used and extracted from Organization for Economic Co-operation and Development (O.E.C.D.), central bank, and World Development Indicators (W.D.I.) from 1991 to 2020. Techniques such as dynamic Auto-regressive Distributed Lags (D.A.R.D.L.) model and Bayesian Auto-regressive Distributed Lags (B.A.R.D.L.) were employed to evaluate the relationship. Findings echo that that eco-innovation, eco-investment, green bonds, industrialisation, inflation, and employment rate share positive connection with the achievement of S.E.D. in Vietnam. The study guides the policy-making authorities that they should establish the policies related to S.E.D. by using eco-innovation and eco-investment. [ABSTRACT FROM AUTHOR]

The consolidation of economic market relations in the Republic of Moldova led, on the one hand, to the diversification of the population's income forms, and on the other hand, to the reduction of the role of the salary in the formation of the population's income. Against the background of inflationary processes, privatization processes, other economic transformations in the context of the transition to the market economy of the 90’s, there was a continuous process of reduction of the real wages of workers. Diminishing of the role of wages in the formation of the disposable income of the population in favour of other sources of income is a natural process under the conditions of the transition to the market economy. But when this decrease takes uncontrolled proportions, there can be a transfer of the reproduction function of the labor force from the salary to other forms of income, which are not directly related to a productive activity, such as the work activity. There is a worsening of the situation on the labor market, which manifests itself through a drastic decrease in occupational indicators, thus undermining the functioning mechanism of the national economy and the development of the existing human potential. In the situation where the salary no longer fulfils its basic economic and social functions, i.e. reproduction, motivation, stimulation of economic growth, the population no longer connects their work and employment needs to the labor market of the Republic of Moldova choosing labor markets from other countries where the salary conditions are more favourable. This fact has led to the intensification of international labor migration.

This paper uses nonlinear differential equations to establish a relationship model between enrollment, education, and employment in vocational education. In this paper, the local stability of the vocational education system is analyzed utilizing nonlinear differential theory and numerical simulation. At the same time, we carried out a numerical simulation of the system’s dynamic behavior. Through numerical simulation research, it is found that the model has peculiar nonlinear behavior and dynamic characteristics when its parameters take some specific values. Finally, we get the critical condition of the stability of the vocational education system according to the model established in the article.

The article uses the law of large numbers to analyze and uses the equivalence relationship on the data set to measure the degree of uncertainty of knowledge. In this way, we can analyze the relationship between the employment of graduates from colleges and universities and professional education training. The article describes several collective category models of college graduates’ employment rate and enrollment scale. This can provide an important theoretical reference for solving the actual social problems related to employment and enrollment.

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This study examines the effects of structural changes on employment growth in the sub-Saharan African (SSA) region using demographic structure as an intermediary factor. Data used covers 37 SSA countries for the period 2000 to 2018 and the Generalised Method of Moments (GMM) and decomposition techniques are employed to show the indirect and direct relationships respectively. Economic structure in the region is found to mainly promote total employment with services sector having a larger capacity for absorbing labour, especially in low-productivity activities. There is also evidence that demographic changes in SSA region, while acting as a strong base for drawing employment, has led to significant losses in productive employment yields. Countries with large labour force tend to produce highly vulnerable and less productive employment, especially for the youths. Demographic changes, rather than economic structure, have more long run implications for employment in the SSA region. [ABSTRACT FROM AUTHOR]

The effects of bariatric metabolic surgery (BMS) on health and comorbidities are well-known. Socioeconomic factors have been increasingly in focus in recent investigations. The aim of this study was to analyze the effects of BMS on predictive variables for unemployment. This study as performed in one reference center for BMS. Patients were treated between 2011 and 2017. The study design was a retrospective cohort study. Inclusion criteria were Roux-en-Y gastric bypass surgery, follow-up of 60 months, and complete data on employment rate. Exclusion criteria were secondary BMS, secondary referral, loss of follow-up, or patients aged 60 years and above. Patients were stratified as employed independent of part-time work and as unemployed if the patient had no current employment at the time of the visit. Follow-up visits were performed after 6, 12, 24, 48, and 60 months. This study included 623 patients; prior to BMS, 239 (38.36%) patients were employed and 384 (61.64%) unemployed. Risk factors for baseline unemployment included increased body mass index (BMI) (odds ratio [OR], 1.03; 95% confidence interval [CI], 1.01 to 1.05; P =.010) and increased American Society of Anesthesiology (ASA) score (OR, 3.55; 95% CI, 2.56 to 4.90; P <.001). Unemployment rate dropped to 32.4% after 24 months (P <.001) and increased to 62.8% after 60 months. The BMI continuously decreased. Following BMS, the unemployment rate was no longer associated with BMI (24 months: OR, 0.97; 95% CI, 0.95 to 1.01; P =.220; 60 months: 1.04; 95% CI, 0.97 to 1.11; P =.269). The initial ASA status remained associated with unemployment (OR, 2.20; 95% CI, 1.60 to 3.01; P <.001). BMI showed some association with the unemployment rate prior to BMI. The unemployment rate significantly decreased 24 months after BMS but increased to baseline values after 60 months. Following BMS, BMI was no longer associated with unemployment. • Prior to BMS, an increased BMI and ASA were risk factors for unemployment. • The unemployment rate dropped significantly after 24 months but increased to the baseline rate after 60 months, independent of BMI reduction. • BMI and weight reduction were no longer predictive factors for unemployment after 24 and 60 months. [ABSTRACT FROM AUTHOR]

The aim of our scientific study was to identify and assess the specificities of the EU countries in the field of employment improvement based on the indicators "young people neither in employment nor in education and training" (NEET) and "employment rate" within the EU and to evaluate the position of the Slovak Republic. The selected indicators are determined in Agenda 2030 in the area of "Decent work and economic growth" as indicators with quantitative targets. In the scientific study, the method of analysis of the development of time series and linear regression analysis is used. We can say that the development in the Slovak Republic is favourable. However, the values of both indicators are worse than the average values in the EU. The linear regression points to a strong connection between indicators. From the derived relations, the possibilities for improvement also follow. [ABSTRACT FROM AUTHOR]

Orientation: Among the numerous factors affecting small and medium enterprises’ (SMEs) ability to access funding, financial literacy or the lack thereof continues to rank high. The below-average levels of financial literacy among entrepreneurs inevitably restrict their access to finance, thereby adding to the already soaring rate of small business failure. Research purpose: The main research objective of this article is to determine the underlying financial literacy-financial access relationship among SMEs in the Ekurhuleni Metropolitan Municipality in South Africa. Motivation of the study: Understanding the relationship between financial literacy and financial access among small businesses is imperative as they are key players in economic development. Empirical literature outlining this relationship is sparse. Therefore, the study made an original empirical contribution to the financial literacy-financial access nexus in the metropolitan. Research design, approach and method: A quantitative descriptive research design was followed. The survey method was used to gather data, where structured questionnaires were distributed to the respondents. The study considered a targeted population of 5609 registered SMEs in Ekurhuleni with a sample size of 384 prospective participants. A total of 310 responses were obtained from the owners and managers of SMEs in the municipality. The Statistical Package for Social Sciences was used to compute all statitical analyses for the study. Descriptive statistics were used to establish the SMEs’ financial literacy and financial access relationship. Data were analysed using factor analysis, regression analysis and correlation analysis. Main findings: Entrepreneurs in Ekurhuleni were found to have a limited understanding of basic financial concepts implying low levels of financial knowledge. Additionally, the study established that financial access was significantly challenging for most SMEs. The findings further revealed a positive relationship between financial literacy and financial access. Practical managerial/ implications: The knowledge from this article may assist entrepreneurs and financial institutions in bridging the financial literacy gap, thereby increasing the likelihood of accessing funding by SMEs. It may also assist in influencing the development and implementation of micro and macroeconomics policies to raise financial literacy levels and leniency from financing sources towards SMEs.

Maintaining ecological quality of energy use without compromising on economic growth has become the key research agenda of existing literature. Emerging economies are particularly facing this dual problem where they need to look in to the factors which impact sustainable energy consumption. The article, thus, aims to examine impact of economic and non-economic determinants on sustainable energy consumption in Vietnamese context. Factors such as industrialization, population growth, inflation, and employment rate are being considered as economic indicators and eco-innovation and political instability are being used as non-economic indicators. The study has taken secondary data from secondary sources such as Organization for Economic Co-operation and Development (OECD), the global economy, and World Development Indicators (WDI) from 1986 to 2020. The study has applied the Bayesian auto-regressive distributed lags (BARDL) model and the non-linear autoregressive distributed lag (NARDL) technique to check the association among variables. The results revealed that industrialization, population growth, inflation, employment rate, and eco-innovation have a positive linkage with SEC in Vietnam. The results also indicated that political instability has a negative association with SEC in Vietnam. In the light of results, it is obvious that government fiscal and monetary policies must be favorable to inflation so that sustainable energy can be introduced and started to consume. The study also conveys that the policymakers must take care of employment rate growth, for it can encourage sustaining energy consumption. [ABSTRACT FROM AUTHOR]

The consolidation of economic market relations in the Republic of Moldova led, on the one hand, to the diversification of the population's income forms, and on the other hand, to the reduction of the role of the salary in the formation of the population's income. Against the background of inflationary processes, privatization processes, other economic transformations in the context of the transition to the market economy of the 90's, there was a continuous process of reduction of the real wages of workers. Diminishing of the role of wages in the formation of the disposable income of the population in favour of other sources of income is a natural process under the conditions of the transition to the market economy. But when this decrease takes uncontrolled proportions, there can be a transfer of the reproduction function of the labor force from the salary to other forms of income, which are not directly related to a productive activity, such as the work activity. There is a worsening of the situation on the labor market, which manifests itself through a drastic decrease in occupational indicators, thus undermining the functioning mechanism of the national economy and the development of the existing human potential. In the situation where the salary no longer fulfils its basic economic and social functions, i.e. reproduction, motivation, stimulation of economic growth, the population no longer connects their work and employment needs to the labor market of the Republic of Moldova choosing labor markets from other countries where the salary conditions are more favourable. This fact has led to the intensification of international labor migration. [ABSTRACT FROM AUTHOR]

This article examines the effects of government expenditures, regional GDP, regional minimum wages, employment rate, and poverty severity on income inequality by applying the system Generalized Method of Moments panel model to overcome the dynamic endogeneity problem from 2007 to 2020. The results show that government expenditure and an increase in the regional minimum wage for low-wage workers can reduce income inequality in both the short run and long run. Furthermore, high regional GDP and high levels of employment rate for workers with low skills can exacerbate the level of income inequality in the long run. However, reducing the severity of poverty has no effect on reducing inequality. This study provides policy recommendations to the government to improve basic public services and make various training skill programs, including ICT, in order to increase creativity and job opportunities for low-income people. [ABSTRACT FROM AUTHOR]

High energy production is the global requirement that is the demand of high economic growth in the country and needs regulators and recent researchers' emphasis. Therefore, the current study examines the impact of economic factors such as gross domestic product (GDP), national income, employment rate, foreign direct investment (FDI), and inflation and technological advancement on energy production in China. The present article has used the secondary data extracted from World Development Indicators (WDIs) from 1976 to 2020. The present research has employed the nonlinear autoregressive distributed lagged (NARDL) model to explore the association among the understudy constricts. The findings revealed that all the economic factors such as GDP, national income, employment rate, FDI, inflation, and technological advancement have a significant and positive association with energy production in China. This article guides the relevant authorities and policymakers in developing and implementing the policies related to generating high energy production using foremost economic factors. [ABSTRACT FROM AUTHOR]

Purpose: to determine the economic factors that steadily influenced reproductive trends in the Volga Federal District in 2000-2020, their regional differentiation. The hypothesis of the study: the dynamics of the birth rate is predetermined, among other things, by economic factors (of a general economic nature and economic activity of households). With a positive change in the economic well-being of the population and households, stable prerequisites are formed for the growth of the birth rate in the Volga Federal District.Methods: the correlation and regression analysis of the total fertility rate and economic predictors for 2000-2020 of the Volga Federal District regions was used. Econometric prerequisites for determining reproductive trends are formed based on changes in macro- and microeconomic indicators of the economic well-being of the region and individual households.Results: regional differences in the influence of economic factors on fertility are revealed: direct linear dependence on the volume of investments per capita and the level of employment; inverse dependence on the level of poverty and the share of household spending on food (except for the Republic of Bashkortostan). When assessing the inverse linear dependence on the indexation of prices for primary housing, the coefficient of determination is insufficient (except for the Udmurt Republic), as in the case of assessing the impact of the unemployment rate (the factor is insignificant for the Republic of Bashkortostan, Kirov Region, Perm Krai). The growth and decrease in monthly consumer spending lead to a decrease in the birth rate.Conclusions and Relevance: one-factor regression analysis showed that in the Volga Federal District, the formation of reproductive trends is negatively affected by an increase in the share of spending on essential goods. Multivariate regression analysis revealed a correlation of fertility rates with a steady increase in the level of employment. The presented approach can be used to describe the prerequisites for the formation of stable reproductive trends in other districts and regions of Russia for the implementation of preventive measures of the demographic policy of the state in order to maintain the stability and positive development of the demographic situation, prognostic estimates of trends of deviation from the positive trend.

In the past years, the population of the West Region has experienced a decline, under the mixed influence of the different level of the natural growth, domestic migration flows and intense external migration. The demographic and economic effects of the reduced young population will be felt in time and will lead to changes in subpopulations (school population, fertile age population, employable population). The effects of the demographic aging process upon the development of the economic and social life have been felt after 2005, when the generations born after 1990 joined the employable population. The transition to the market economy has had a strong impact on the characteristics of the labour market, causing significant changes in the size and structure of the main labour force indicators (activity rate, employment rate, unemployment rate).

Changes over the last few decades around the globe highlight concepts such as sustainable economic development (SED). Globalization has accelerated the competition between firms and they require sustainable development (SD) in order to survive in such a competitive environment. In this scenario, SED and energy efficiency can be achieved through an effective sharing economy. This phenomenon has received wide global attention and is the focus of many recent studies. This article investigates the impact of a sharing economy, including the sharing economy users and sharing economy values, on energy efficiency and SED in the top ten Asian economies. It takes inflation, employment rate and population growth as control variables. The study extracts secondary data from the Statista and World Development Indicators (WDI) databases from 2006 to 2020 and uses the method of moments quantile regression (MMQR) to examine the nexus between these constructs. The results reveal that sharing economy users, sharing economy values, inflation, employment rate and population growth have a positive association with energy efficiency and SED in the top ten Asian economies. This serves as a guide for policymakers establishing relevant policies related to the achievement of SED and energy efficiency using a sharing economy.

Female labour force participation has increased tremendously since World War II in developed countries. Prior research provides piecemeal evidence identifying some drivers of change but largely fails to present a consistent story. Using a rare combination of data and modelling capacity available in Australia, we develop a new decomposition approach to explain rising female labour force participation since the mid‐1990s. The approach allows us to identify the role of tax and transfer policy reforms as well as three other factors that have been shown to matter by earlier studies: (i) changes in real wages; (ii) population composition changes; and (iii) changes in labour supply preference parameters. For the first time, all these factors are identified through a single consistent decomposition framework. A key result is that – despite the ongoing emphasis of public policy on improved work incentives for women in Australia and elsewhere – changes in financial incentives due to tax and transfer policy reforms have contributed relatively little to achieve these large increases in participation. Instead, the other three factors drive the increased female labour force participation. [ABSTRACT FROM AUTHOR]

This article tests the relative importance of globalization and technological change in explaining income inequality at higher and lower development levels. Besides, the article analyses the effectiveness of a set of policy measures for fighting inequality. We use relative pre-tax income shares as a proxy for inequality. Several linear and non-linear threshold panel data models with GDP per capita as the threshold variable are estimated for 42 countries over the period from 1994 to 2016. We find that technology is the most important generator of inequality, while the effect of various globalization measures is weak and often insignificant. We find limited evidence that the effect of globalization differs with respect to the level of GDP per capita. Our results suggest that full employment policies in the low inflation environment are the most efficient solution for the inequality problem. Higher employment and low inflation rate decrease the inequality level. Other than that, we do not find other policy measures that satisfy the one-size-fits-all criteria for tackling inequality. Instead, a set of efficient policy measures against inequality, including expenditures on education, minimum wage policies, and lending rates, depend on the development level and idiosyncratic policies and institutions. [ABSTRACT FROM AUTHOR]

The objective of this study is to explore the impact of electronic commerce on employment rate for a sample covering the whole 27 Member States of the European Union (EU-27), from 2010 to 2019. Moreover, this research explores the clusters of nations with reference to electronic commerce adoption and employment rate dynamics. The outcomes of cluster analysis show that Western Europe reveals the most developed e-commerce marketplace in EU-27, shown by Internet accessibility and high penetration rate of digital tools, and the lowest figures are registered in the Eastern part of Europe. Furthermore, the empirical findings of the panel data fixed-effects and the generalized least squares regressions suggest that electronic commerce influences employment rate positively. By including country-level control variables (real GDP growth rate, research and development expenditure, employed ICT specialists, enterprises with Internet access), the outcomes reveal that one percentage change in enterprises’ total turnover from e-commerce sales, enterprises’ turnover from web sales, and enterprises with e-commerce sales of at least 1% turnover will increase employment rate by 0.205, 0.258, and 0.350 percentage points. Furthermore, the econometric evidence from the method of moments quantile regression models with fixed effects reinforces our findings. Enterprises’ total turnover from e-commerce sales and the percentage of enterprises with e-commerce sales of at least 1% turnover positively influence employment rate for all quintiles, but in the case of enterprises’ turnover from web sales, the effect is positive only for the quintiles ranging from 0.5–0.8.

Digital transformation affects all organizations, large and small. Waves of technological change are frequent and accelerating, requiring constant adaptation by companies and their employees. Artificial intelligence, automation, and digital tools are changing the traditional organizational structure and ways of working. After the COVID-19 pandemic, the labor market has to move toward an inclusive digital transformation that braces the business systems. This paper is an attempt to explore the effect of digitalization on employment in Gulf Cooperation Council (GCC) countries and compare them to some selected advanced countries. The methodology focuses on the second-generation unit root tests and the Auto Regressive Distributed Lagged model for the period 2000–2020. The findings show a negative and significant impact of ICT on employment in the industrial and services sectors for GCC countries with a moderate adjustment speed toward the long-run equilibrium. This result is explained by the shortage of skilled workers in GCC countries compared to advanced countries, where the findings show a positive and significant effect of ICT technologies on total employment, especially in the industrial sector. The adjustment speed toward the long run is significantly higher in advanced countries than in GCC countries.

The global COVID-19 epidemic in 2020 has caused a significant drop in many countries’ employment rates and economies. Numerous countries have implemented a number of tax and fee reduction policies in response to the COVID-19 epidemic. This essay analyzes the tax and fee policies and results of the three largest economies in the world—China, the United States, and Japan—in response to COVID-19 between 2020 and 2021. We will first compare the effects of tax and fee reduction policies horizontally across China, the US, and Japan. The second step is to compare the effects of tax and fee reduction policies. According to the study, China, the United States and Japan have each implemented separate tax and fee policies in response to COVID-19. The United States primarily provides corporate income tax, personal income tax relief, and increased social welfare and subsidies that reduce the tax burden of enterprises, stimulate the vitality of enterprises, increase the disposable income of residents, stimulate consumption, and thus promote economic growth; Japan primarily provides income tax, consumption tax and business tax relief to reduce the cost of consumption for residents, increase corporate profits and cash flow, restore economic growth and stabilize employment. China primarily provides tax relief for VAT, corporate income tax and social security funds. It indirectly lowers the selling price of products, reduces the operating costs of enterprises, increases personal disposable income, stimulates consumption, promotes the growth of business performance and plays a certain role in curbing inflation. Based on the empirical analysis of the impact of different tax and fee reduction policies on the economy and employment in China, the United States and Japan, it is of some relevance for other countries. Therefore, in response to COVID-19 or major emergencies, each country can formulate targeted tax and fee reduction measures based on its own national conditions to support economic growth and stable employment.