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Since the early 1990s, most developing economies have become more integrated with the world's economy. Trade and foreign investment barriers have been progressively lifted and international trade agreements signed. These reforms have led to important changes in the structures of these economies. The labor markets have adjusted to these major changes, and workers were required to adapt to them in one way or another. In 2006, the Social Protection Unit of the World Bank launched an important research program to understand the impact that these profound structural changes have had on workers in developing countries. 'Globalization, Wages, and the Quality of Jobs: Five Country Studies' presents the findings and insights of this important research program. In particular, the authors present the similar experiences of low-income countries with globalization and suggest that low-income countries' working conditions have improved in the sectors exposed to globalization. However, 'Globalization, Wages, and the Quality of Jobs' also highlights concerns about the sustainability of these improvements and that the positive demonstration effects on the rest of the economy are unclear. The empirical literature that exists, although vast, does not lead to a consensus view on globalization's eventual impact on labor markets. Understanding the effects of globalization is crucial for governments concerned about employment, working conditions, and ultimately, poverty reduction. Beyond job creation, improving the quality of those jobs is an essential condition for achieving poverty reduction. 'Globalization, Wages, and the Quality of Jobs' adds to the existing literature in two ways. First, the authors provide a comprehensive literature review on the current wisdom on globalization and present a micro-based framework for analyzing globalization and working conditions in developing countries. Second, the authors apply this framework to five developing countries: Cambodia, El Salvador, Honduras, Indonesia, and Madagascar. This volume will be of interest to government policy makers, trade officials, and others working to expand the benefits of globalization to developing countries.

The transition to a market economy has been analyzed primarily from a stabilization prospective. To complement that approach, we focus on a pure relative price shock and subsequent price adjustments. A model of monopolistic competition with costly labor adjustment indicates that relative price shocks can induce overall output decline because rigid sectoral real wages do not adjust to offset sectoral price changes, and firms that benefit from the price shock engage in monopolistic behavior. In Poland, empirical evidence suggests that relative wage rigidity contributed to lower employment and output, but there is no strong evidence that competition was important.

Large regional disparities in labor market indicators exist in Central Europe and the Baltic region. Such disparities appear to be persistent over time indicating, in part, a lack of flexibility in the prevailing adjustment mechanisms. Internal labor mobility is often seen as an important instrument to reduce adjustment costs when other mechanisms fail. Drawing from a variety of data sources and utilizing a common empirical framework and estimation strategy, this study identifies patterns and statistical profiles of geographical mobility. It finds internal migration to be generalily low and highly concentrated among better-educated, young, and single workers. This suggests that migration is more likely to reinforce existing inequalities than to act as an equalizing phenomenon. By way of contrast, commuting flows have grown over time and are more responsive to regional economic differentials. The findings suggest the need for appropriate and country-tailored policy measures designed to increase the responsiveness of labor flows to market conditions.

Offering evidence from both detailed individual country studies and homogenized statistics across the Latin American and Caribbean region, this book examines the impact of the minimum wage on wages, employment, poverty, income distribution and government budgets in the context of a large informal sector and predominantly unskilled workforces.

This report analyzes the paths by which developing country labor markets adjust to permanent trade-related shocks. Trade shocks can bring about reallocation of labor between industries, but the presence of labor mobility costs implies economy-wide losses because they extend the period of economic adjustment. This report focuses primarily on the adjustment costs faced by workers after a trade shock, because of magnitude and welfare implications and policy relevance. From a policy viewpoint, understanding the relative magnitudes of labor mobility and adjustment costs can help policymakers design trade policies that are consistent with employment objectives, can be complemented by labor policies, or support programs to facilitate labor transitions, or both. To complement and validate the analysis based on structural choice models, the study designed a distinct empirical approach using reduced-form econometric estimation strategies. This approach examines the impact of structural reforms and worker displacement on labor market outcomes. This makes it possible to estimate the time required to adjust to a trade-related shock, but does not assume the rigid underlying relationship inherent in structural models. This report is organized as follows: chapter one gives introduction. Chapter two presents evidence from the literature on the relative magnitude of labor adjustment costs borne by workers and by firms. Chapter three presents a new database of country-level labor mobility cost estimates for both developing and developed economies. Chapter four showcases country case studies in which labor mobility costs vary by industry, firm size, and worker type (for example, informal versus. formal). Chapter five analyzes the impact of structural reforms on aggregate labor market outcomes across countries and the effect of worker displacement due to plant closings on the employment outcomes of individual workers in Mexico. Chapter six concludes with a summary of the main findings about the labor adjustment costs associated with trade-related shocks and a discussion of policy responses internationally.

The study examines the effects of firm trade participation on labor productivity, wages, and female employment using recent manufacturing enterprise survey data for Egypt. It finds positive labor productivity premium for both exporting and importing firms, being the highest for small-sized exporting firms reflecting their greater benefits from learning-by-exporting. Importing intermediate inputs enhances productivity the most for firms in medium-high and high technology intensive sectors. Moreover, both exporting and importing firms pay higher average wages than non-exporters and non-importers, where economies of scale and higher productivity of trading firms-rather than the skill characteristics or composition of labor force- work as the explanatory channels. Also, firm trade participation enhances gender labor outcomes through reducing the gender wage gap and employing a higher share of female workers especially in low technology export sectors. To translate these favorable impacts into an economywide labor market improvements in Egypt, more efforts should be done in reforming the business environment to enable a greater participation of small firms into export markets and an easier access of firms-especially those operating in technologically advanced sectors- to essential imported inputs that embody advanced foreign knowledge and/or are of higher quality than domestic alternatives.

Little is known about the fiscal costs of natural disasters, especially regarding social safety nets that do not specifically target extreme weather events. This paper shows that US hurricanes lead to substantial increases in non-disaster government transfers, such as unemployment insurance and public medical payments, in affected counties in the decade after a hurricane. The present value of this increase significantly exceeds that of direct disaster aid. This implies, among other things, that the fiscal costs of natural disasters have been significantly underestimated and that victims in developed countries are better insured against them than previously thought.

The role and position of the manufacturing sector changes over time. Its importance in the sustainable growth of the economy, innovations, trade, reducing energy demand, and environmental problems is currently being shown again. The study underlines the significance and importance of the manufacturing sector in the economy of countries, and the generally applicable economic principles are explicitly examined in regard to the manufacturing sector. It examines whether selected economic indicators of the manufacturing sector in the region of the Visegrad Group countries can affect the level of average wages in the sector. Wages represent a key determinant of attractiveness, as well as the potential to increase the standards of living and the long-term sustainability of a given sector. The selected economic indicators for the period 2008–2019 concerning average wages in the manufacturing sector were: FDI Flow, GDP, labour productivity, employment, and the number of hours worked in the manufacturing sector. The source of secondary data was the OECD database. A multiple regression model was used and tested. The suitability of the proposed model was tested using the ANOVA method. A significant effect was shown in the case of two of the examined variables, namely the GDP and employment in the manufacturing sector. Based on the findings of the study, it can be assumed that the sectoral GDP can positively affect average wages in the sector and the level of employment in manufacturing can negatively affect them. The summary of implications and proposals indirectly supports the need to develop and introduce innovations, new technologies, automation, and robotization, as well as for further implementation and support of Industry 4.0 and 5.0.

Panel data show that between 2001 and 2014 Norwegian industries' increasing aggregated operating profits per employee increased average wages and wage inequality. The data imply that increasing profits, perhaps unsurprisingly, induce a wage premium. The data further imply that employees earning high incomes at the outset had the highest wage increase percentage-wise. Decreasing operating profits per employee had opposite but less robust effects on average wages and wage inequality. Panel data Granger causality tests finally showed that average wages, but not wage inequality, reversely and positively affect operating profits per employee.

PurposeThis study aims to explore, in the context of Machinery and Equipment sector of Malaysia, the association between average wages and share of employment in automatable jobs, specifically whether the association between average wages and share of employment automatable jobs is asymmetric in nature.Design/methodology/approachThe responses obtained from the structured interview of 265 firms are used to build up the empirical models (conditional mean regression and quantile regression).FindingsThe conditional mean regression findings show that employment levels in some low-waged, middle-skilled jobs are negatively associated with average wages. Furthermore, the quantile regression results add that firms that possess higher levels of share of employment in automation jobs are found to have a stronger association to average wages than those possessing a lower share of employment in automation jobs.Practical implicationsFrom the theoretical perspective, the findings of this study add to the body of knowledge of the theory of minimum wages and the concept of job polarization. From a policy perspective, the findings of this study can serve as a critical input to standard setters and regulators in devising industrial and as education policies.Originality/valueBased on the assumption of a constant average policy effect on automatable jobs, conditional mean regression models have been commonly used in prior studies. This study makes the first attempt to employ the quantile regression method to provide a deeper understanding of the relationship between wages and employment in automatable jobs.