Non‐farm Income Diversification in Rural Ghana: Patterns and Determinants

Abstract: Evidence abounds in the rural livelihoods literature that rural households do not only receive a significant proportion of their incomes from non‐farm sources, but also it is a significant source of employment for rural folks. This paper examines the pattern and determinants of non‐farm income diversification in rural Ghana. Results show that off‐farm income constituted 43 percent of rural household income in 2005/6. Female‐headed households tend to have larger off‐farm income shares compared to male‐headed households. Non‐farm income shares followed the same gender pattern albeit less pronounced. Unlike in Latin America and Asia, in rural Ghana, non‐farm self‐employment income is more important than non‐farm wage‐employment income. Regression results show that the gender composition of households, age, education, and access to credit, electricity and markets are important determinants of multiple non‐farm activities and non‐farm income. The findings call for strategies that can help rural households maximize the benefits from income diversification.     

Growth with equity: The Cuban experience (1959–1980)

This paper presents an assessment of Cuba's performance in terms of redistribution of income and provision of basic human needs following the revolution in 1959. It discusses the evolution of Cuba's post-revolutionary economic strategy, in particular its approach to the oft-cited dilemma of growth vs equity. The eradication of mass unemployment as one of Cuba's major priorities is evaluated, as well as Cuba's achievements with regard to health, education, and redistribution of income and assets. Comparisons are occasionally made with Brazil and Peru, as examples of different development strategies. This paper concludes with some comments on prospects for the 1980s.     

Religiosity and household income in Sekhukhune

Literature analysing the interrelation of religion and economic performance suggests religion to explain differences in household income. Religious communities foster economically conducive attitudes and are important sources of social capital, particularly under weak economic structures. This paper targets at investigating effects of religiosity on rural household income using survey data from Greater Sekhukhune in the Limpopo Province of South Africa. Using insights from religious studies within a conceptual framework of rural household decision-making, the authors estimate an income equation that includes measures for religious affiliation. While church membership per se does not reveal a significant effect on household income, the results show a positive and robust relationship for membership in the Zion Christian Church and the practice of African traditional religion.     

Integration into the South African core economy: household‐level covariates

In this analysis of household survey data, households' main income sources are used as indicators of integration into the South African core economy. The allocation of main income sources is studied as the outcome of households' demographic composition, geographic location and earners' characteristics. The emerging picture of household income generation is one that disputes the common perception of African households as raising their incomes from a multitude of sources. The majority of surveyed households rely to a large extent on a single source of income and a single income earner. Separate multinomial logit models are estimated for urban and non‐urban households where, in addition to the considerable association with non‐urban residence, prominent earner covariates of low‐integration income sources are female gender, old or young working age, and low levels of education. Both provincial location and within‐provincial, subregional locations display strong impacts. The study also finds associations between main income sources and households' demographic compositions that are compatible with findings both in studies on private transfer behaviour and in the growing literature on endogenous household formation in South Africa.     

An Analysis of Welfare Changes in Zimbabwe*

Abstract: This paper presents a brief account of welfare changes in Zimbabwe along the income and education dimensions between 1995 and 2003. Using sequential dominance procedures, we find that education attainment substantially improved over time. However, these gains did not necessarily translate into poverty reduction, rather welfare over the joint distribution of income and education dramatically deteriorated. These results are robust for all education partitions, income thresholds and a broad class of welfare indices. A further inquiry into the factors underlying this apparent disconnection between education and income using decomposition techniques reveals that the increase in poverty incidence cannot be attributed to household characteristics but is reflective of the broader socio‐economic trends prevailing at the time. The decline in economic growth contributed tremendously to the decline in welfare while inequality changes account for a small proportion.     

Income diversification,wealth, education and well-being in rural south-western Madagascar: Results from the Mahafaly region

Rural households in the Mahafaly region of south-western Madagascar have to contend with low economic development and a risky natural environment. A survey of 665 households in the region was designed to address three research questions: what is the relationship between diversification of income sources and household wealth; how does education influence access to non-farm income sources and diversification; and how does household wealth and diversification affect well-being? The results show that the overwhelming majority of households follow a diversification strategy. Household wealth is associated with larger fields, greater crop diversity and higher diversification of income source categories. Education enhances access to high-return, non-farm income sources. Self-reported well-being is positively affected by both wealth and diversification. Better education and measures to improve inhabitants’ existing strategies for compensation of yield losses in farming are crucial for securing local livelihoods in the face of decreasing precipitation due to climate change.     

INCOME INEQUALITY IN THE PHILIPPINES, 1961–91

Household income inequality in the Philippines remains high and the trends for three decades have been fairly stable except for a sharp decline in the mid-1980s. Gini coefficient of income inequality has been consistently close to 0.50. Urbanization and education of household head are the most important factors determining the level of income inequality while the contribution of age of head is limited. The increase in the number of urban households results in an increase of overall inequality while the increase in the number of household heads with a college education tends to decrease the inequality. Among the household income sources, wage income is the largest contributor to total income inequality. Wage rate inequality appears to be a major source of wage income inequality.     

Non‐farm employment and incomes in rural Cambodia

Rural households in Cambodia derive income from various sources. On average, non‐farm income accounts for more than 60 per cent of total household income. However, the average masks the substantial heterogeneity of non‐farm employment. We account for this heterogeneity and find significant differences in non‐farm participation and incomes across segments of the income distribution. The poor and the less well‐educated participate less in the non‐farm sector, and when they do work in the non‐farm sector, they work in low‐paid jobs and earn lower incomes. Accounting for endogeneity and sample selection issues, we conduct an empirical enquiry of the determinants of participation in non‐farm activities and of non‐farm incomes. As expected, we find that education plays a major role in accessing more remunerative non‐farm employment. Interestingly, we do not find evidence that women, ethnic minorities, or the land‐poor are disadvantaged in access to the non‐farm sector. Geographical location plays a role in access to and income from non‐farm employment, indicating the importance of local context.     

Access to savings and household welfare evidence from a household survey in The Gambia

In this study, we provide evidence on the impact of access to formal savings on household well‐being in The Gambia. Specifically, we study how access to formal savings can impact household outcomes such as total spending, ownership of durable assets, health spending, and education spending. Using a representative household survey and kernel ridge regression method, we find that household access to formal savings has a positive and statistically significant impact on all outcomes except health spending. Furthermore, we find that the largest effect size of access to savings is on education spending. However, the impact estimates on education and food expenditure are not very robust to a mild presence of hidden bias. Overall, we find a robust impact for total spending and asset ownership. Hence, increasing household access to formal savings can improve household well‐being in The Gambia.     

Economic Restructuring,Informal Jobs and Pro‐poor Growth in Urban China

Based on household survey datasets and the framework of pro‐poor growth, the present paper discusses how economic growth and inequality affect poverty reduction in urban China. The findings in this paper suggest that the poor benefit from economic growth through the trickle‐down effect, but that the poor benefit disproportionally less than the nonpoor in both periods, from 1988 to 1995 and from 1995 to 2002; however, in the latter period, the pro‐poorness is higher than that of the former period. Using the principle of Shapley decomposition, this paper develops an index of pro‐poor growth for each income component, and finds that the income from informal jobs is the main contributor to the pro‐poorness of growth during the period 1995 to 2002.     

Decomposing income inequality in a backward pre‐industrial economy: Old Castile (Spain) in the middle of the eighteenth century

Research on economic inequality in early modern Europe is complicated by the lack of appropriate data for reconstructing income or wealth distributions. This article presents a study of income inequality in mid‐eighteenth‐century Old Castile (Spain) using the Ensenada Cadastre, a census conducted between 1749 and 1759. The article describes the information provided by this census and then discusses its advantages and disadvantages for reconstructing income profiles and calculating income inequality. This is followed by analysis of a dataset derived from the Cadastre that consists of more than 4,000 observations from Palencia (a province in northern Spain) and contains information on sources of household income, each household head's main occupation, residence location, and other household characteristics. Demographic data from this census is used to weight observations in the sample and thereby minimize selection bias. Findings show that inequality in eighteenth‐century Spain was probably substantial despite its relative backwardness; that the relationship between inequality and per capita income was not clear‐cut and was probably influenced by measurement of the higher incomes; and that although income inequality was largely driven by uneven land distribution, labour income also contributed to overall inequality—especially in urban centres.     

Income versus Consumption Inequality in Korea: Evaluating Stochastic Dominance Rankings by Various Household Attributes

Using four rounds (1999, 2002, 2005 and 2008) of the Korean Labor and Income Panel Study, the present paper examines determinants of household income and consumption levels and inequalities. Unconditional as well as conditional stochastic dominance tests are performed by year, by household heads’ characteristics (age, education, gender, health, marital status and occupation) and by household characteristics (household type, household size and degree of urbanization). Mean least squares regression techniques are used to predict conditional expectations. The residuals containing effects for each characteristic conditional on the remaining characteristics are then used for the stochastic dominance analysis employing extended Kolmogorov–Smirnov tests of first‐order and second‐order dominance in distribution of income and consumption. The results provide a detailed and up‐to‐date picture of inequality and poverty by subgroup in Korea, which helps in targeting particularly vulnerable groups. While inequality in disposable income is found to be substantial, consumption inequality is less substantial. Households headed by the elderly, the uneducated, the divorced, the widowed, females, and those with health problems are found to be the most vulnerable groups.     

Does Economic Growth Really Benefit the Poor? Income Distribution Dynamics and Pro-poor Growth in Indonesia

We explore the nexus between poverty, inequality, and economic growth in Indonesia between 2002 and 2012, using several pro-poor growth concepts and indices to determine whether growth in this period benefited the poor. Our regression-based decompositions of poverty into growth and redistribution components suggest that around 40% of inequality in total household expenditure in Indonesia was due to variations in expenditure by education characteristics that persisted after controlling for other factors. We find that economic growth in this period benefited households at the top of the expenditure distribution, and that a ‘trickle down’ effect saw the poor receive proportionately fewer benefits than the non-poor. If reducing poverty is one of the Indonesian government's principal objectives, then policies designed to spur growth must take into account the possible impacts of growth on inequality.     

Chinese Regions in the Great Divergence: Provincial Gross Domestic Product per Capita, 1873–1918

We construct 1912/18 Chinese provincial gross domestic product per capita from primary sources and project cross‐sections for 1873 and 1893. The results fit the historical record. We hypothesise that regionally specific conflicts have a role to play in explaining differential growth rates, and that geography, governance, and sectoral structures explain relative income‐level rankings. China's richest provinces matched Europe's poorest. A divergence did indeed occur, but our estimates show that at a broader economic level, it was perhaps not as dramatic as some of the literature implies.     

Can Time–Space Compression Promote Urban Economic Growth? Evidence from China's High‐speed Rail Projects

This paper studies the effect of high‐speed rail (HSR) on urban economic growth using a panel data comprising 285 Chinese cities in 2007–2017. Combining the endogenous growth model with a difference‐in‐difference analysis, we extend the horse‐mass theory to explain how China may use HSR to avoid the so‐called middle‐income trap. The paper also examines the efficient boundaries of HSR and simultaneously studies HSR time–space compression as well as the city neighboring effects on economic growth. It is found that HSR's efficient boundaries are within the range of 200–1,200 km for provincial capitals and 50–300 km for prefecture‐level cities. HSR stimulates economic growth by approximately 0.6 percent, and the neighboring effect accounts for one‐quarter of economic growth. Three policy implications are drawn: (i) China needs to further reduce the travel times between the inland provincial cities and Beijing, Shanghai or Guangzhou; (ii) China should build a denser HSR network to maximize its economic impact on the vast majority of cities; (iii) China needs to develop some powerful economic growth centers in the inland areas to lead the development of their neighboring cities.     

Terrorism and its Determinants in the Sub‐Saharan Africa Region: Some New Insights

Terrorism is undesirable as it adversely affects the economic development of countries. This study explores the determinants of terrorism in 29 countries of sub‐Saharan Africa (SSA). The data is extracted from reliable sources spanning over 2005 to 2016. Econometric techniques relevant for panel data that control for unobserved heterogeneity (fixed effects) and endogeneity (generalized method of moment) are employed to estimate the specified models. The results indicated that low growth in per capita incomes along with political instability are the main driving forces responsible for terrorism. Similarly, military expenditures are influencing terrorism positively whereas corruption has impacted terrorism negatively in the SSA region. Further, the growth of both physical as well as human capital reduces terrorism. The paper suggests that the region should take appropriate steps for increasing income of the population, education and capital stock, along with ensuring political stability to eradicate terrorism from the region.     

Individual well-being in urban China: The role of income expectations

Using household survey data, we study the determinants of individual well-being in urban China, emphasizing particularly the role of income expectations. First, we find that individual well-being increases contemporaneously with own income and decreases with community's average income, consistent with findings reported in previous studies. This result holds when we replace income with consumption and when we consider employment and health status of other family members. Second and more important, we find that income expectations have a positive and significant effect on individual well-being. This result is robust to alternative model specifications and to controls for optimistic personality. Instrumental variable estimates and endogeneity tests suggest that the positive relationship between well-being and income expectations is genuine. Our finding has the potential to explain why reported well-being has declined in China despite the spectacular economic growth in the past decades.     

Economic Inequality and Its Socioeconomic Impact

Income inequality is of fundamental interest not only to economists, but also to other social scientists. A substantial literature in economics and the social sciences has investigated the relationship between income inequality and economic growth, and a variety of social phenomena. The links between inequality and economic growth are explored as well as those between inequality and such key social variables as political conflict, education, health, and crime. The analysis in this paper follows a two-step process. First, a review of the empirical evidence relating inequality to growth and to each of the above social variables is undertaken. Second, the various causal mechanisms that have been proposed in the social science literature to explain those links are surveyed.     

Economic Convergence in the African Continent: Closing the Gap

The paper attempts to analyse the conditional β‐convergence and its sources for 32 African countries over the period 1960‐2008. The augmented Solow model with both gross domestic product (GDP) per worker and per capita income is estimated using the dynamic system generalized methods of moments (GMM) technique with the panel data. This is the first study on the sources of conditional β‐convergence for African countries. According to the results of the augmented Solow model, income convergence rates are lower than those of GDP per worker. Moreover, total factor productivity convergence, human capital convergence and capital labour convergence are contributing towards the convergence of GDP per worker in Africa. This means that growth in the poorest African countries is being augmented by “catch‐up factor,” which is good news for them. However, convergence in terms of GDP per worker is not being fully translated into income per capita convergence. The demographic structure in the African continent with its record of persistent population growth has played an important role in lowering the income convergence of its countries.     

The determinants of income inequality in Thailand: A synthetic cohort analysis

This paper presents tests and estimates of the human capital model of income inequality using synthetic cohort data for Thailand: 1992–2011. The model focuses on four primary determinants of income inequality: mean per capita income levels, the variances in years of education, in the number of children, and in the number of earners in the household. All of these factors are important sources of income inequality in Thailand, with relative impacts that differ across demographic groups and types of household structure. An inverted-U relation between mean per capita income levels and inequality is found, reflecting gender differences of the head of household, differences in household composition, and variation in access to finance. Although the human capital model emphasizes education, estimates presented here show other household characteristics, such as number of children and number of earners, can be even more important sources of inequality.