Development

Raising the minimum wage in developing countries could increase or decrease poverty, depending on labor market characteristics. Minimum wages target formal sector workers—a minority in most developing countries—many of whom do not live in poor households. Whether raising minimum wages reduces poverty depends not only on whether formal sector workers lose jobs as a result, but also on whether low-wage workers live in poor households, how widely minimum wages are enforced, how minimum wages affect informal workers, and whether social safety nets are in place.

Can entrepreneurship programs be successful labor market policies for the poor? A large share of workers in developing countries are self-employed (mostly own-account workers without paid employees, often interchangeably used as micro entrepreneurs). Their share among all workers has not changed much over the past two decades in the developing world. Entrepreneurship programs provide access to finance (or assets) and advisory and networking services as well as business training with the aim of boosting workers’ earnings and reducing poverty. Programs vary in design, which can affect their impact on outcomes. Recent studies have identified some promising approaches that are yielding positive results, such as combining training and financial support.

In the first decade of the 21st century, the Brazilian economy experienced an important expansion followed by a significant decline in inequality. The minimum wage increased rapidly, reducing inequality with no negative effects on employment or formality. This resulted from economic growth and greater supply of skilled labor. However, from 2014-2021, real wages were stagnant, and unemployment rates surged. Inequality rose again, although only marginally. Some positive signs emerged in 2022, although it is still too early to know whether they mark a return to past trends or a recovery from the pandemic.

Job displacement is a serious earnings risk to long-tenured workers, both through spells of unemployment and through reduced wages on subsequent jobs. Less developed countries often rely exclusively on government mandated employer-provided severance pay to protect displaced workers. Higher income countries usually rely on public unemployment insurance and mandated severance pay. Beyond these options, more administratively demanding plans have been proposed, including UI savings accounts and “actual loss” wage insurance, though real-world experience on either model is lacking.

Job displacement represents a serious earnings risk to long-tenured workers through lower re-employment wages, and these losses may persist for many years. Moreover, this risk is often poorly insured, although not for a lack of policy interest. To reduce this risk, most countries mandate scheduled wage insurance (severance pay), although it is provided only voluntarily in others, including the US. Actual-loss wage insurance is uncommon, although perceived difficulties may be overplayed. Both approaches offer the hope of greater consumption smoothing, with actual-loss plans carrying greater promise, but more uncertainty, of success.

Remittances have risen spectacularly in absolute terms and in relation to traditional sources of foreign exchange, such as export revenues. Remittances can improve the well-being of family members left behind and boost growth rates of receiving economies. They can also create a culture of dependency, lowering labor force participation in recipient nations, promoting conspicuous consumption, and accelerating environmental degradation. A more thorough understanding of their impacts can help formulate policies that enable developing economies to harness the most out of these monetary inflows.

Digital payment systems can conveniently and affordably connect entrepreneurs with banks, employees, suppliers, and new markets for their goods and services. These systems can accelerate business registration and payments for business licenses and permits by reducing travel time and expenses. Digital financial services can also improve access to savings accounts and loans. Electronic wage payments to workers can increase security and reduce the time and cost of paying employees. Yet, there are challenges as many entrepreneurs and employees lack bank accounts, digital devices, and reliable technology infrastructure.

Work-from-home possibilities are lower in developing than in developed countries. Within countries, not all workers have equal chances of transitioning from the usual workplace to work-from-home. Moreover, infrastructure limitations and lack of access to certain services can limit the chances of effectively working from home. Having a home-based job can affect, positively or negatively, work–life balance, levels of job satisfaction and stress, and productivity. The differential chances of working from home may end up increasing the levels of income inequality between workers who can and those who cannot work from home.

Developing countries are often seen as unquestionable beneficiaries in the phenomenal rise of global value chains in international trade. Offshoring—the cross-border trade in intermediate goods and services which facilitate country-level specialization in subsets of production tasks—enables an early start in global trade integration even when the requisite technology and knowhow for cost-effective production from scratch to finish are not yet acquired. A growing economics literature suggests a more nuanced view, however. Policymakers should be mindful of issues related to inequality across firms and wages, labor standards, and effects of trade policy.

A key element of anti-poverty policy is the accurate identification of poor individuals. However, measuring poverty at the individual level is difficult since consumption data are typically collected at the household level. Per capita measures based on household-level data ignore both inequality within the household and economies of scale in consumption. The collective household model offers an alternative and promising framework to estimate poverty at the individual level while accounting for both inequality within the household and economies of scale in consumption.