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This research explores how skill proficiencies are distributed between low-income and not-in low-income groups using the results of a highly complex survey of the information-processing skills of Canadians between the ages of 16 and 65. We find that having measures of skills enhances our understanding of the correlates of low income. Skills have an independent effect, even when controlling for other known correlates of low income, and their inclusion reduces the independent effect of education and immigrant status. This result is relevant for public policy development as the knowledge of the skills profile of the low-income population can inform the design of efficient and effective programmes.

This study aimed to develop and test the impact of a social media-based intervention for improving the business skills and income of young smallholder farmers.

First, the researchers used an exploratory approach to develop a social media-based intervention for acquiring business skills and improving income. Second, the researchers tested the effectiveness of the developed programme on a sample of 506 young smallholder farmers. Finally, the intervention and data collection took place over five years (2017–2021).

The result showed steady improvements in business skills and income from 2017 to 2021 for the treatment group, unlike the control group. Also, improvements in business skills led to a reduction in expenses and an increase in profit from 2017 to 2021. A further evaluation of the result showed that an addition of 5.1 mean scores in business skills led to the addition of $91 income between 2017 and 2018; for 2018–2019, 2.6 improvements in business skills increased income by $123. For 2019–2020, a 2.7 improvement increased income by $209, whilst for 2020–2021, a 1.6 improvement increased income by $320.

The results of this study could help explore ways of using social media to change behaviour aimed at improving income amongst young smallholder farmers.

It is possible to employ either income or expenditure as the base for personal taxation. A considerable literature has developed that investigates the relative efficiency of these bases. The answer is usually in favor of the expenditure tax since it does not distort the choice between consumption and saving. In contrast, the literature is almost silent on the relative equity of the two bases. We investigate the redistributive consequences of the choice in models with two sources of heterogeneity: skill in employment and lump-sum endowment. The Gini coefficient is used to measure the degree of equity achieved by the tax bases in static and dynamic settings. Income taxes and expenditure taxes that generate equal welfare or equal revenue are compared. In the static economy the income tax leads to lower inequality except when skill and endowment are negatively correlated. Inequality is always lower with the income tax in the dynamic economy. These results support the choice of income as the base for personal taxation if reduction in inequality is a priority of policy.

Inequality in the distribution of family income in the U.S., which had remained virtually unchanged since the end of World War II until 1968, has increased sharply since then. In contrast, schooling and skill inequality has declined rather steadily over the postwar period. Another notable change over the past 30 years or so has been the widespread diffusion of computers. Using aggregate time-series data for the 1947–2000 period, I find that the largest effects on inequality come from office, computing and accounting equipment (OCA) investment, which accounted for about half of the rise in inequality between 1968 and 2000. The unionization rate is second in importance, and its decline over this period explains about 40 percent of the increase in inequality. The decline in the dispersion of schooling, on the other hand, plays almost no role in explaining the rise in inequality. On the basis of pooled time series, industry regressions for the 1970–2000 period, I also find that investment in OCA is positively related to changes in skill inequality, while changes in the unionization rate are negatively related.

This chapter builds up a simple general equilibrium trade model where, in the absence of a credit market for human capital formation, initial distribution of capital endowment and relevant factor prices determine the size of the three income classes. The poor, with little capital, invests in traditional manufacturing, the middle-income group invests solely in human capital and the rich invests in both. Chances are that such an economy will export both high- and low-skilled goods, importing the middle one. Conventional wisdom suggests that greater skill premium encourages skill formation. In contrast, we show that higher unskilled wage and lower degree of income inequality are consistent with greater skill formation. We also show that protection discourages skill formation and may aggravate inequality.

This study aims to focus on the effects of economic globalisation programme on the problems of criminal activities and on the degree of skilled–unskilled wage inequality.

A competitive general equilibrium model of a small open economy is developed. Unskilled labour moves from the production sector to the criminal sector. Those who join the criminal sector snatch a part of capitalists’ income and skilled workers’ income to finance their consumption and face positive probability of being caught and punished. The size of the criminal sector and the rental rate on capital are simultaneously determined in the short-run equilibrium of this model where factor endowments are exogenously given at a particular point of time.

An increase in the capital endowment resulting from an exogenous foreign capital inflow raises demand for labour and wage rates in both the sectors. So, it lowers the rental rate on capital and thus aggravates the problem of skilled–unskilled wage inequality because the skilled labour using sector is more capital intensive than the other production sector. However, it may lower the size of the criminal sector and thus may raise the level of the gross domestic product.

There exists substantial theoretical works on the problem of skilled–unskilled wage inequality, but none of these works focuses on the general equilibrium allocation of unskilled labour to the criminal sector. On the other hand, existing models specialised to analyse theoretical implications of crime and punishment do not focus on the interaction between crime and wage inequality.

Whether immigrants are positively or negatively self-selected is much disputed. Whereas most previous studies have addressed this question by comparing the earnings of immigrants to those of U.S. natives, this analysis uses occupation to examine the skill level of immigrants relative to their home country population. Data on the occupational distribution of individuals granted legal permanent residence in 1995 indicate that the proportion of immigrants in skilled occupations is related to the corresponding proportion in source countries but not necessarily to the return to skill and other economic factors in the country of origin.

The aim of this study was to determine the impact of oral communication in improving the marketing and financial management skills of sweet potato farmers.

The study used a quasi-experimental design with a pre- and post-test approach. The sample was 540 sweet potato farmers that were randomly assigned to training (n = 270) and no-training groups (n = 270) with analysis of covariance (ANCOVA) as the method of data analysis. While the training group received oral training sessions for three farming seasons beginning in 2019, 2020 and 2021, the no-training group did not receive any intervention.

Before the training sessions, all the sweet potato farmers scored low on marketing skills like advertising, sales promotion and sales forecasting. Both groups also scored low on financial management skills like budgeting, investments, saving and controlling expenditures. Their annual income level was also low and both groups did not significantly differ. However, after the training and during the follow-up evaluation, the participants in the training group reported a significant improvement in their marketing skills and financial management skills. There was also an improvement in their income level from $238 (N109,480) at baseline to $523 (N240,580) after the training and $782 (N359,720) after the follow-up evaluation. On the other hand, the no-training group reported a staggered fluctuation in their income of $241 (N110,860) at baseline, $371(N170,660) during post-training evaluation and $214 (N98,440) at follow-up assessment.

The first limitation is that the study examined only one crop. There is a need to pay attention to farmers of other crops for better understanding. Another limitation of the study is that the researchers examined only oral communication. There is a need to compare more than one training to understand which is more effective. Finally, the current study did not consider the moderating effect of other factors like the source of labour and expenses.

This study has shown that oral communication is an effective tool for promoting the acquisition of marketing and financial management skills and enhancing agribusiness.

This study aims to examine the effects of vocational training programs for people with disabilities on their income.

It conducted a multinomial regression analysis of 10,469 survey responses from 31 provincial administrative areas in mainland China.

It finds the following antecedents all influence the trainees’ self-reported income, including their perception of the quality of the program, the training subject, the degree of consistency between their current job and this subject, their employment sector, their motivation and access to training resources and the geographical location of the program.

The findings are not representative of people with disabilities across mainland China because the respondents were not randomly sampled.

The findings suggest that to increase the income of people with disabilities, the training can be designed according to the needs of employers by teaching subjects relevant to the needs of the labor market, reaching out to motivated trainees and enhancing the quality of training. Training institutions, employers and governments are recommended to work together to integrate class-based learning with workplace-based learning and practices. More training resources can be devoted to the self-employed people with disabilities or those who operate in the informal sector and are in less-developed areas.

The improvement of employment opportunities and income of people with disabilities supports the safeguarding of their social economic rights and the building of an inclusive society.

Few studies have empirically explored and explained the effects of vocational training programs on people with disabilities’ income. This article fills this gap by assessing the performance of China's vocational training programs funded by the Federation of Disabled Persons at all levels.

Related literature finds that human capital proxied by cognitive abilities is an important antecedent of numerous specific life outcomes. The purpose of this study is to extend existing evidence by investigating the link between cognitive skills and income in Tajikistan. Tajikistan is a landlocked low-income country situated in Central Asia. Its population is 9.1 million people and gross domestic product per capita of US$822. According to the World Bank, Tajikistan has made significant progress in decreasing poverty levels from 83% in 2000 to 29.5% in 2017.

The data for this study comes from the 2013 Jobs, Skills and Migration Survey conducted by the World Bank and the German Society for International Cooperation. The main explanatory variable of the study is the cognitive abilities index of the respondents. The survey used item response theory (IRT) approach to estimate the ability of respondents. IRT is a method or a set of statistical frameworks, used to explore assessment item data, such as cognitive abilities assessment data. The wage function was estimated using the ordinary least squares method because the results are easier to interpret (Jencks, 1979; Bowles et al., 2001; Groves, 2006).

The baseline results are reported in Table 2. The results in Column 1 demonstrated the link between cognitive abilities and income without control variables (unconditional model). As expected, cognitive abilities are positively and significantly related to income (a1 = 0.0715, p < 0.01). The results from the unconditional model suggest that one standard deviation increase in cognitive abilities is associated with a nearly 17% increase in income.

However, the study has a number of limitations. First, the dependent variable measures the overall income of the respondent, which includes the profit from other businesses. The survey does not provide data on monthly wages of respondents. Second, the sample may not perfectly represent the overall population of Tajikistan. To partially resolve this issue, this paper re-estimated out results for various sub-samples. Another important limitation of this study is the lack of respondent’s family background, which is an important correlate of human capital and income.

The results in the study offer preliminary evidence on the link between cognitive abilities and income in Tajikistan. However, the results of the study also suggest that both measures of human capital are positively related to income. Therefore, policymakers in Tajikistan should invest greater resources to health care, education and training programs as cognitive skills can be built in particular in the early stages of the life cycle. Indeed, Tajikistan has a significant potential for economic growth model driven by human capital. According to the World Bank, the adult literacy rate in Tajikistan is 100%, which is significantly above of what is observed in other developing countries. This may imply that the human potential in this country is considerable, and further investment in soft and hard skills would have a positive impact on economic growth.

This paper offers new evidence on the link between cognitive abilities and income, using data from Tajikistan. First, this paper finds that cognitive abilities are positively and significantly correlated with income. Second, this paper finds that this link remains robust even when this paper control for a large set of personal and job-related characteristics. The results from the unconditional model suggest that one standard deviation increase in cognitive abilities is associated with nearly a 17% increase in income.